From xrambous at aurora.fi.muni.cz Mon Mar 30 17:41:59 2026 From: xrambous at aurora.fi.muni.cz (TSD 2026) Date: Mon, 30 Mar 2026 17:41:59 +0200 Subject: [Event@CIG] TSD 2026 - 2nd Call for Papers Message-ID: ********************************************************* TSD 2026 - SECOND CALL FOR PAPERS ********************************************************* Twenty-ninth International Conference on TEXT, SPEECH and DIALOGUE (TSD 2026) Brno, Czech Republic, 1-4 September 2026 http://www.tsdconference.org/ The conference is organized by the Faculty of Informatics, Masaryk University, Brno, and the Faculty of Applied Sciences, University of West Bohemia, Pilsen. The conference is supported by International Speech Communication Association. Venue: Brno, Czech Republic THE SUBMISSION DEADLINES: April 10 2026 ............ Submission of abstracts April 17 2026 ............ Submission of full papers Submission of abstracts serves for better organization of the review process only - for the actual review a full paper submission is necessary. It is still possible to submit both by the full paper deadline. KEYNOTE SPEAKERS Anders Soegaard, University of Copenhagen, Denmark You may get updates by following new https://www.linkedin.com/company/tsdconference/ TSD SERIES TSD series evolved as a prime forum for interaction between researchers in both spoken and written language processing from all over the world. Proceedings of TSD form a book published by Springer-Verlag in their Lecture Notes in Artificial Intelligence (LNAI) series. TSD Proceedings are regularly indexed by Thomson Reuters Conference Proceedings Citation Index/Web of Science. Moreover, LNAI series are listed in all major citation databases such as DBLP, SCOPUS, EI, INSPEC or COMPENDEX. CALL for SATELLITE WORKSHOP PROPOSALS https://www.tsdconference.org/tsd2026/conf_workshop_proposals.html The TSD 2026 conference will be accompanied by one-day satellite workshops or project meetings with organizational support by the TSD organizing committee. The organizing committee can arrange for a meeting room at the conference venue and prepare a workshop proceedings as a book with ISBN by a local publisher. The workshop papers that will pass also the standard TSD review process will appear in the Springer proceedings. Each workshop is a subject to proposal that should be sent via the proposal submission form or discussed via the contact e-mail tsd2026 at tsdconference.org ahead of the respective deadline. TOPICS Topics of the conference will include (but are not limited to): Corpora and Language Resources (monolingual, multilingual, text and spoken corpora, large web corpora, large language models, disambiguation, specialized lexicons, dictionaries) Speech Recognition (multilingual, continuous, emotional speech, handicapped speaker, out-of-vocabulary words, alternative way of feature extraction, new models for acoustic and language modelling) Tagging, Classification and Parsing of Text and Speech (morphological and syntactic analysis, synthesis and disambiguation, multilingual processing, sentiment analysis, credibility analysis, automatic text labeling, summarization, authorship attribution) Speech and Spoken Language Generation (multilingual, high fidelity speech synthesis, computer singing) Semantic Processing of Text and Speech (information extraction, information retrieval, data mining, semantic web, knowledge representation, inference, ontologies, sense disambiguation, plagiarism detection, fake news detection) Integrating Applications of Text and Speech Processing (machine translation, natural language understanding, question-answering strategies, assistive technologies) Automatic Dialogue Systems (self-learning, multilingual, question-answering systems, dialogue strategies, prosody in dialogues) Multimodal Techniques and Modelling (video processing, facial animation, visual speech synthesis, user modelling, emotions and personality modelling) Papers on processing of languages other than English are strongly encouraged. PROGRAM COMMITTEE Elmar Noeth, Germany (general chair) Rodrigo Agerri, Spain Tomas Arias-Vergara, Germany Vladimir Benko, Slovakia Archna Bhatia, USA Jan Cernocky, Czech Republic Simon Dobrisek, Slovenia Kamil Ekstein, Czech Republic Karina Evgrafova, Russia Yevhen Fedorov, Ukraine Volker Fischer, Germany Darja Fiser, Slovenia Lucie Flek, Germany Bjorn Gamback, Norway Radovan Garabik, Slovakia Alexander Gelbukh, Mexico Louise Guthrie, USA Jan Hajic, Czech Republic Eva Hajicova, Czech Republic Yannis Haralambous, France Hynek Hermansky, USA Daniel Hladek, Slovakia Ales Horak, Czech Republic Eduard Hovy, USA Milos Jakubicek, Czech Republic Maria Khokhlova, Russia Aidar Khusainov, Russia Daniil Kocharov, Russia Miloslav Konopik, Czech Republic Valia Kordoni, Germany Evgeny Kotelnikov, Russia Pavel Kral, Czech Republic Siegfried Kunzmann, USA Oier Lopez de Lacalle, Spain Nikola Ljubesic, Croatia Natalija Loukachevitch, Russia Bernardo Magnini, Italy David Marecek, Czech Republic Jindrich Matousek, Czech Republic Vaclav Matousek, Czech Republic Roman Moucek, Czech Republic Dasa Munkova, Slovakia Agnieszka Mykowiecka, Poland Hermann Ney, Germany Joakim Nivre, Sweden Juan Rafael Orozco-Arroyave, Colombia Paula Andrea Perez-toro, Germany Maciej Piasecki, Poland Josef Psutka, Czech Republic James Pustejovsky, USA German Rigau, Spain Paolo Rosso, Spain Leon Rothkrantz, The Netherlands Anna Rumshisky, USA Milan Rusko, Slovakia Pavel Rychly, Czechia Mykola Sazhok, Ukraine Pavel Skrelin, Russia Petr Sojka, Czech Republic Jan Stas, Slovakia Georg Stemmer, Germany Marko Robnik Sikonja, Slovenia Marko Tadic, Croatia Jan Trmal, Czechia Tamas Varadi, Hungary Zygmunt Vetulani, Poland Aleksander Wawer, Poland Alina Wroblewska, Poland Jerneja Zganec Gros, Slovenia FORMAT OF THE CONFERENCE The conference program will include presentation of invited papers, oral presentations, and poster/demonstration sessions. Papers will be presented in plenary or topic oriented sessions. Social events including a trip in the vicinity of Brno will allow for additional informal interactions. SUBMISSION OF PAPERS Authors are invited to submit a full paper not exceeding 12 pages formatted in the LNCS style (including references). Those accepted will be presented either orally or as posters. The decision about the presentation format will be based on the recommendation of the reviewers. Proceedings papers do not differentiate the presentation format. The authors are asked to submit their papers using the on-line form accessible from the conference website. Papers submitted to TSD 2026 must not be under review by any other conference or publication during the TSD review cycle, and must not be previously published or accepted for publication elsewhere. Publishing on preprint servers is not forbidden, but authors are warned that when doing so this might influence the blind reviewing conditions. As reviewing will be blind, the paper should not include the authors' names and affiliations. Furthermore, self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...". Papers that do not conform to the requirements above are subject to be rejected without review. The paper format for review has to be in the PDF format with all required fonts included. Upon notification of acceptance, presenters will receive further information on submitting their camera-ready and electronic sources (for detailed instructions on the final paper format see https://www.tsdconference.org/tsd2026/paper_instr.html). Authors are also invited to present actual projects, developed software or interesting material relevant to the topics of the conference. The presenters of demonstrations should provide an abstract not exceeding one page. The demonstration abstracts will not appear in the conference proceedings. IMPORTANT DATES April 10 2026 ............ Submission of abstracts April 17 2026 ............ Submission of full papers June 5 2026 .............. Notification of acceptance June 15 2026 ............. Final papers (camera ready) and registration August 8 2026 ............ Submission of demonstration abstracts August 15 2026 ........... Notification of acceptance for demonstrations sent to the authors September 1-4 2026 ....... Conference date Submission of abstracts serves for better organization of the review process only - for the actual review a full paper submission is necessary. The accepted conference contributions will be published in Springer proceedings that will be made available to participants at the time of the conference. OFFICIAL LANGUAGE The official language of the conference is English. ACCOMMODATION The organizing committee will arrange discounts on accommodation in the 4-star hotel at the conference venue. The current prices of the accommodation will be available at the conference website. ADDRESS All correspondence regarding the conference should be addressed to Ales Horak, TSD 2026 Faculty of Informatics, Masaryk University Botanicka 68a, 602 00 Brno, Czech Republic phone: +420-5-49 49 18 63 fax: +420-5-49 49 18 20 email: tsd2026 at tsdconference.org The official TSD 2026 homepage is: http://www.tsdconference.org/tsd2026 LinkedIn: https://www.linkedin.com/company/tsdconference/ LOCATION Brno is the second largest city in the Czech Republic with a population of almost 400.000 and is the country's judiciary and trade-fair center. Brno is the capital of South Moravia, which is located in the south-east part of the Czech Republic and is known for a wide range of cultural, natural, and technical sights. South Moravia is a traditional wine region. Brno had been a Royal City since 1347 and with its six universities it forms a cultural center of the region. Brno can be reached easily by direct flights from London, Milano, and Malaga, and by trains or buses from Vienna (150 km) or Prague (230 km). From sdm.publicity at gmail.com Mon Mar 30 20:09:30 2026 From: sdm.publicity at gmail.com (SIAM SDM Publicity Chairs) Date: Mon, 30 Mar 2026 14:09:30 -0400 Subject: [Event@CIG] [CFP] SIAM SDM 2026 Message-ID: SIAM Conference on Data Mining (SDM?26) SDM'26 (THE SIAM INTERNATIONAL CONFERENCE ON DATA MINING) November 19?20, 2026 Salt Palace Convention Center, Salt Lake City, Utah, U.S. CALL FOR CONTRIBUTIONS Important Dates -------------------- - *Abstract Submission Deadline*: April 10, 2026, 11:59 p.m. Anywhere on Earth (AoE) (abstract required to submit a full paper) - *Full Paper Submission Deadline*: April 17, 2026, 11:59 p.m. Anywhere on Earth (AoE) - *Decision Notification*: Early July 2026 - Description -------------------- The SIAM Data Mining (SDM) conference invites submissions of high-quality research papers that present original results on data mining algorithms and their applications. Data mining is a core process within computing and statistics, aimed at discovering valuable knowledge from data. This field has significant applications across various domains, including science, engineering, healthcare, business, and medicine. Datasets in these fields are typically large, complex, and noisy, necessitating sophisticated, high-performance analysis techniques grounded in sound theoretical and statistical principles. The SDM conference provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. It also provides an ideal setting for graduate students to network and get feedback for their work (as part of the doctoral forum) and everyone new to the field to learn about cutting-edge research by hearing outstanding invited speakers and attending presentations, tutorials and a number of focused workshops. The proceedings of the conference are published in archival form and are also made available on the SIAM Web site. The following meetings will be held jointly: SIAM Conference on Imaging Science (IS26) SIAM Conference on Mathematics of Data Science (MDS26) SIAM International Conference on Data Mining (SDM26) Topics of Interest -------------------- We welcome contributions addressing all aspects of data mining, machine learning, and visual analytics, including but not limited to: Methods and Algorithms, Applications of Data Mining, Human Factors and Social Issues. More detailed topics are available on the SDM?26 website . Doctoral Forum ------------------ PhD students in Data Science are invited to present their dissertation research (ongoing or future work) at the Doctoral Forum of the SIAM International Conference on Data Mining (SDM26). A great opportunity to present your work, receive feedback from leading researchers, and network with the community. - Application deadline: May 15, 2026 - Submission Link: link Submission ------------------ SDM26 OpenReview Submission site: link Dual Submission Policy Submissions that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to this or other conferences or journals, are not allowed and violate our dual submission policy. Papers that have been submitted to archival repositories such as arXiv may be submitted to SDM 2026. Paper Format All research papers should have a maximum length of eight (8) pages, including all text and figures. References and appendices are unlimited and may not be reviewed. Authors should use U.S. Letter (8.5" x 11") paper size. Papers must be prepared in LaTeX2e, and formatted using SIAM?s double column macro. The macro is available here . Make sure you use the SIAM macro; papers prepared using other macros will not be accepted. Review will be triple blind: submissions must be anonymized. Violations of the blind policy will result in rejection without review. Having papers on arXiv is allowed per the dual submission policy outlined below. Policy on Large Language Models like ChatGPT Authors are not prohibited from using large language models (LLMs) like ChatGPT to edit or polish the authors? written text. However, the authors are responsible for ensuring the originality and correctness of the entire content of the paper. If the proposed research method involves the use of LLMs or comparison against existing LLMs, the paper needs to provide sufficient details on the methodology and implementation to ensure transparency and reproducibility (e.g., adding a paragraph on ?use of large language model?). Authors will be required to disclose the use of LLMs in the paper submission form. All questions regarding paper submissions can be sent via email to the Program Co-Chairs: Anuj Karpatne (karpatne at vt.edu) and Joyce Ho ( joyce.c.ho at emory.edu) From andrea.orlandini at istc.cnr.it Tue Mar 31 10:17:52 2026 From: andrea.orlandini at istc.cnr.it (AndreA Orlandini) Date: Tue, 31 Mar 2026 10:17:52 +0200 Subject: [Event@CIG] Call for Papers - 33rd International Symposium on Temporal Representation and Reasoning (TIME 2026) 1-3 September 2026, Dublin, Ireland. Message-ID: Apologies for multiple copies *** Call for Papers *** 33rd International Symposium on Temporal Representation and Reasoning (TIME 2026) 1-3 September 2026, Dublin, Ireland. https://time26.cnr.it/ Co-located with the 37th International Conference on Principles of Diagnosis and Resilient Systems (DX?26) TIME has been for more than twenty years the only yearly multidisciplinary international event dedicated to the topic of time in computer science. The purpose of the symposium is to bring together active researchers in different scientific fields involving temporal and spatio-temporal data, information and/or knowledge management. Such a concern arises in a number of different though often related research domains, namely Artificial Intelligence (both symbolic approaches based on explicit Logic or Constraint-based models, and numerical data-based approaches such as Deep Learning and Large Language Models), Databases and Data Mining, or System Specification and Verification. TIME 2026 is co-located with the 37th International Conference on Principles of Diagnosis and Resilient Systems (DX?26) and it will be from the 1st to the 3rd of September 2026 at the University College of Cork. More details about TIME and the previous editions of this symposium can be found via the following link: https://time-symposium.org/. **Topics of interest** - Temporal Specifications, Verification, Synthesis, Planning (Spatio-temporal representation and reasoning models including moving objects tracking, Temporal Logics for finite and infinite state system, Model checking with temporal issue, Runtime verification, Temporal constraint models and satisfiability, Action and change, Temporal Scheduling, Controller synthesis) - Diagnosis and Supervision of Real-Time systems (Timed Automata, Timed Petri nets, Timed Games) - Time in Machine Learning and Generative Artificial Intelligence (Neural networks, Deep/Reinforcement learning, LLMs and Natural Language Processing) - Notable aspects of time in agent- and policy-based systems (Multi-agent systems, Markov decision processes, agentic AI frameworks) - Temporal Data (sensing, discovery, mining, temporal databases and dedicated query languages, uncertain/indeterminate/imprecise temporal data, temporal data learning) - Temporal Graphs, Networks (Bayesian network, Neural networks,) - Event and Pattern recognition (including time series and temporal chronicles) The list above is by no means exhaustive, as the aim is to foster the debate around all aspects of time in automation. **Important dates** May 06, 2026: Abstract submission deadline May 11, 2026 Paper submission deadline June 22, 2026: Paper acceptance/rejection notification date July 24, 2026: Camera-ready submission deadline September 01?03, 2026: Symposium dates Note: all deadlines are AoE (Anywhere on Earth). **Submission guidelines** TIME 2026 accepts submissions in PDF format, formatted following the Open Access Series in Informatics (OASIcs https://drops.dagstuhl.de/entities/series/OASIcs#author) and preferably using LaTeX. TIME policy is single blind, so the names of the authors need not be hidden in the submitted draft. Members of the program committee are allowed to submit papers. Submitted papers will be refereed for quality, correctness, originality, and relevance to the symposium. At least one author of each accepted paper must register at the symposium and present the paper. We use EasyCshair throughout the submission and selection process. The webpage for submitting papers with all required information can be found here https://easychair.org/conferences/?conf=time2026 There are three types of submissions, and the authors are invited to specify under which one their paper lies: 1) Original papers (12 pages, excluding references and appendix): such papers describe original, non-published contributions. It includes theoretical (new algorithms, proofs, models) and applied (applications, system descriptions, evaluation) contributions. 2) Survey papers (12 pages, excluding references and appendix): such papers are intended to propose a short review of a complete domain of research. The proceedings of TIME will be published in the Open Access Series in Informatics (OASIcs). This is a series of high-quality peer-reviewed conference proceedings, and published according to the principle of OpenAccess. Finally, the authors of the top-ranked papers will be invited to submit an extended version of their contribution to a special issue in a high ranked journal; more details will be provided in due time. Please contact the program chairs for more information: AndreA Orlandini and Sophie Pinchinat Email: time2026 at easychair.org -- facebook twitter instagram linkedin AndreA Orlandini CNR, ISTITUTO DI SCIENZE E TECNOLOGIE DELLA COGNIZIONE Tel. 0644595223 andrea.orlandini at istc.cnr.it Via Gian Domenico Romagnosi, 18 00196 ? Roma *www.cnr.it* Devolvi il 5?1000 al CNR CF 80054330586 Me, the one and only person that never leaves me alone -- From boutalbi.rafika at gmail.com Tue Mar 31 12:18:11 2026 From: boutalbi.rafika at gmail.com (rafika boutalbi) Date: Tue, 31 Mar 2026 12:18:11 +0200 Subject: [Event@CIG] [CFP] VINALDO: 3rd edition of International workshop on Machine vision and NLP for Document Analysis Message-ID: *VINALDO: 3rd edition of International workshop on Machine vision and NLP for Document Analysis* *Website:* https://sites.google.com/view/vinaldo3rdeditionofinternation/call-for-papers *In conjonction with ICDAR 2026 - Aug 30- Sep 04, 2026 ? Vienna, Austria* https://icdar2026.org/ Document understanding is essential in areas such as invoice extraction, medical record analysis, and legal document processing. While many workshops focus on pure vision-based tasks (OCR, layout analysis) or pure NLP tasks, VINALDO emphasizes the synergistic integration of computer vision and natural language processing for structured information extraction and semantic understanding of documents. This third edition of VINALDO highlights structured knowledge extraction from documents using multimodal approaches, with a focus on: - Knowledge Graphs (KGs) built from visual and textual cues - Integration of Large Language Models (LLMs) with visual document understanding - Multimodal representation learning for semantic retrieval Our goal is to move beyond traditional document analysis by exploring how vision and language jointly enable structured, relational understanding particularly in complex documents like invoices, forms, and reports. Novelty for this edition: After the success of VINALDO 2023 , and VINALDO 2024 , in this third edition of the VINALDO workshop, we encourage the description of novel problems or applications for document analysis in the area of information retrieval that has emerged in recent years. In the last edition VINALDO 2024 we highlighted a particular topic namely ?Knowledge Graphs and Multimodal approaches?. In this new edition, we aim to encourage novel and recent research on document analysis including, but not limited to, approaches that intersect with areas such as Large Language Models (LLMs), Knowledge Graphs (KGs), and Natural Language Processing (NLP). The VINALDO workshop focuses on the joint exploitation of visual and textual information for document understanding, while remaining open to a wide range of methods and perspectives. In particular, we highlight the growing importance of structured representations such as Knowledge Graphs extracted from document context, which are still underexplored despite their relevance across many application domains. We therefore welcome contributions that explore the combination of computer vision, NLP, and structured knowledge representations, as well as works that integrate NLP and vision techniques in innovative ways. We also encourage submissions that introduce new datasets, benchmarks, or real-world applications related to document analysis. Overall, the VINALDO workshop aims to bring together researchers and practitioners from academia, industry, and applied research to exchange ideas, share experiences, and discuss ongoing challenges and advances in document analysis at the intersection of Computer Vision and NLP Researchers and practitioners all over the world, from both academia and industry, working in the areas of document and textual analysis. Topics of interest include, but are not limited to, the following: - Multimodal Knowledge Graph Construction from documents - Vision-Language Models for Document Understanding - Joint Entity and Relation Extraction from visual and textual content - Structured Document Understanding with LLMs - Multimodal Document Representation Learning - Graph-Based Spatial and Semantic Reasoning in documents - Integration of Knowledge Graphs and Vision Transformers - Multimodal Invoice and Form Analysis - Cross-modal Retrieval in Document Collections - Benchmarks and Datasets for Multimodal Document Understanding Note: Topics that are purely vision-based (e.g., OCR, table detection, handwriting recognition) or purely NLP-based are better suited to other ICDAR workshops. VINALDO focuses on their intersection. *Submission via easychair : https://easychair.org/cfp/VINALDO2026 * *Important Dates* Submission Deadline: May 5th, 2026 at 11:59pm AoE Time Decisions Announced: May 15th, 2026, at 11:59pm AoE Time Camera Ready Deadline: July 1, 2026 Contact: Rim Hantach Rafika Boutalbi Karima Boutalbi From boutalbi.rafika at gmail.com Tue Mar 31 12:20:45 2026 From: boutalbi.rafika at gmail.com (rafika boutalbi) Date: Tue, 31 Mar 2026 12:20:45 +0200 Subject: [Event@CIG] [CFP] 1st International Workshop on Knowledge Graphs for RAG and Textual Document Analysis Message-ID: *Doc2KG: 1st International Workshop on Knowledge Graphs for RAG and Textual Document Analysis* *https://sites.google.com/view/doc2kg26-first-international-w/call-for-papers* *In conjonction with COMPSAC2026 - July 8-10, 2025 ?Madrid, Spain* *https://ieeecompsac.computer.org/2026/doc2kg/ Context:* In today's digital landscape, we are witnessing an unprecedented explosion in textual data generation. From social media posts and news articles to legal documents, academic papers, and business communications, the volume of text is growing exponentially. Traditional methods of analyzing these vast document collections frequently fall short in terms of scalability, accuracy, and efficiency, creating an urgent need for more sophisticated approaches. The emergence of Retrieval-Augmented Generation (RAG) marked a significant advancement by grounding Large Language Models LLM in relevant contextual information. However, conventional RAG systems that rely primarily on vector similarity search reveal critical limitations when handling complex, real-world documents. They struggle with multi-hop reasoning connecting disparate facts across multiple documents and fail to capture the rich semantic relationships between entities such as people, organizations, and projects. This results in incomplete answers, factual inconsistencies, and an inability to perform genuine analytical tasks, leaving substantial untapped potential within corporate knowledge bases. This workshop introduces a paradigm shift: the integration of Knowledge Graphs (KGs) into the RAG pipeline. We will explore how representing document content as a structured, interconnected graph of entities and relationships can dramatically enhance the accuracy, depth, and reasoning capabilities of Large Language Models. The representation of data as graph structures has been empirically proven to significantly improve RAG performance, enabling more sophisticated document analysis. Doc2KG Workshop aims to bring together experts from industry, research, and academia to exchange ideas and discuss ongoing innovations in natural language processing and Generative AI for textual document analysis. Participants will gain comprehensive understanding of a cutting-edge architecture where documents are not merely embedded but transformed into dynamic graphs of interconnected entities. Wewill learn how this structured knowledge base enables precise, relationship-driven retrieval, allowing LLMs to traverse connections and deliver answers with enhanced accuracy, deeper context, and robust reasoning capabilities previously beyond reach. The Doc2KG workshop aims to bring together an area for experts from industry, science, and academia to exchange ideas and discuss ongoing research in natural language processing and GenAI for textual document analysis. The Doc2KG workshop encourages the participation of persons with disabilities, and underrepresented minorities in the STEM and competitive STEM workforce. Also, it encourages original application with a significant impact on the well-being of individuals in society. Finally, it greatly impacts increasing partnerships between academia and industry. Topics of interests: - ? Text to KG: Enhancing KG construction and completion with GenAI ? From KG to Text ? From Speech to text to KG ? Knowledge Graph Construction & Storage ? Document Ingestion & Pre-processing for KG construction ? Innovative pipeline for Knowledge Extraction ? Hybrid Retrieval & Querying of KGs ? Reducing Factual Hallucinations using RAG and KGs ? Prompting Engineering using KGs ? KG augmentation from document ? Triples representation for KG ? Specific domain KG querying ? Benchmark datasets relevant for tasks combining KGs and GenAI ? Real-world applications on scholarly data, biomedical domain, etc. ? Industry application and real-world scenarios application ? KG for legal text - And more Submission: Papers submitted for review should conform to IEEE specifications. Manuscript templates can be downloaded from IEEE website . The maximum length of papers is 8 pages. All the papers will go through the double-blind peer review process. Authors? names and affiliations should not appear in the submitted paper. Authors? prior work should be cited in the third person. Authors should also avoid revealing their identities and/or institutions in the text, figures, links, etc. Authors should also ensure that their identity is not revealed indirectly by citing their previous work in the third person and omitting acknowledgments until the camera-ready version. Papers have to be submitted via the conference's *EasyChair ** submission * page and select the track related to Doc2KG workshop. Please include in the paper title "Full paper: Title" or "Short paper: Title" to precise the contribution type. At least one author of each accepted paper must register for the workshop, in order to present the paper. Submission via easychair : https://easychair.org/conferences/?conf=compsac2026 *Important dates: * Workshop & special session papers due: 15 April 2026 Workshop & special session papers notification: 7 May 2026 Camera Ready Paper submission: 21 May 2026 *Publication*: Accepted papers will be submitted to IEEEXplore for possible publication. Workshop Chairs *Karima Boutalbi* , Cegedim Business Services, France Rafika Boutalbi , Aix-Marseille University, France Rim Hantach , Engie, France From noreply at fedcsis.org Tue Mar 31 19:16:59 2026 From: noreply at fedcsis.org (FedCSIS) Date: Tue, 31 Mar 2026 17:16:59 +0000 Subject: [Event@CIG] FedCSIS 2026 Call for Papers Message-ID: 21st Conference on Computer Science and Intelligence Systems ? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ?? ? ? ? ? [https://campaign-statistics.com/b/c/dR43ZV-3y3RRqr-1F1FQU] CALL FOR PAPERS _21st Conference on Computer Science and Intelligenc_e Systems FedCSIS 2026; https://2026.fedcsis.org [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/2bb49ff376b555de635f0c5d08f9a6d4] IEEE #69809; indexing: DBLP, SCOPUS, Web of Science ? Riga, Latvia, August 23-26, 2026 (on-site/in person) submission deadline: April 15, 2026; hard deadline ? The mission of the FedCSIS Conference Series (for more than 20 years now) is to provide a presentation, discussion and publication forum in computer science and intelligence systems. The conference invites researchers and practitioners from around the world to contribute research results focused on their scientific and professional interests in a chosen area. ? The FedCSIS conference consists of the Main Track, Thematic Sessions and an Industrial Track. Papers, submitted to the Main Track can be assigned, by their authors, to the Topical Areas. Based on the scope of the contribution, Topical Area Curators select its reviewers from the FedCSIS Program Committee. Besides the Main Track, the authors may prefer to submit their papers to Thematic Sessions, which provide in-depth coverage of specific areas related to the intelligence systems. ? For all five Topical Areas, situated within a general domain of Computer Science, the continually emerging topic of Intelligence Systems stands as the common denominator. All Thematic Sessions also refer to the Intelligence Systems from different perspectives. They are regarded as a path toward introducing more Intelligence into Computer Science and IT. ? MAIN TRACK: * Topical Area 1:?Advanced Artificial Intelligence Approaches [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/1e7c6aa305efa3f0a796559ff9f416dd] * Topical Area 2:?Intelligent Data Processing and Infrastructure [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/8b220e8afd33b74e15076115b42de595] * Topical Area 3:?Security of AI and AI for Security [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/0be32d2c4be70cffde5c6c09790df0d2] * Topical Area 4:?Intelligence Technologies for Business and Society [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/e25be5b2b1f1042b7a0de625c9e09356] * Topical Area 5:?Intelligent Software, System, and Service Engineering [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/5f6c80a2e3e1f1a617f2c96597699830] THEMATIC SESSIONS (IN ALPHABETICAL ORDER): * AgriAI [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/fb93c412d7ed34b6342034eba25a8867] - AI in Agriculture * AI-HuSo [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/02f8479ea03c766ea785213f8cfc95db] - AI in Digital Humanities, Computational Social Sciences and Economics Research * AIWAVOM [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/a40510eb1cd2c535ebb90a4e381e4363] - AI for Inland Water, Atmospheric Environments, and Ocean Modelling * APL [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/bf5531591d1e5e8df9f8d8e44957f568] - Advances in Programming Languages * CANA [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/58873f7f6d605c3a324963e97eb5e317] - Computer Aspects of Numerical Algorithms * CNLPS [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/249d62a7c9120b91119b753b366ce5ee] - Challenges for Natural Language Processing * CO [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/b90d68fe01ad85b73957684c78709fde] - Computational Optimization * DSH [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/67632af7f7fa89eb8e30cc313b7104fe] - Data Science in Health, Ecology and Commerce * EDUC-AI-TION [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/f15e89a775ec1056d25b21ff96ab82a8] - Education & AI systems * IoT-ECAW [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/56692d9e99b3d1414fdd9ae9a3c0470b] - Internet of Things - Enablers, Challenges and Applications * ISM [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/e186f99857fc84d0e083b088d41c6c45] - Information Systems Management * MDASD [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/b44cc9bf741c3db1b3b53bc378ba64c0] - Model Driven Approaches in System Development * MMAP [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/8e43c0bc4e328aa863e9dd46f0195f0d] - Multimedia Applications and Processing * NEMESIS [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/c066367c0d4d2eb5aca0d39be8fa4429] - International Forum on Cyber Security, Privacy, and Trust * SCA [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/0efc5333df2dcc737d6f59bc7c6dbc0b] - Agentic AI in Smart Cities * SLSAS [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/e2a7924b795258198943b8f50d5a6384] - Self Learning and Self Adaptive Systems INDUSTRIAL TRACK ? The Industrial Track [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/464ffb2f2b10f0f04c0e785ac3a1b991] offers companies and professionals the opportunity to share real-world experiences, case studies, and practical applications of intelligent systems and AI-based solutions. We welcome presentations (or posters) that showcase successful implementations, challenges faced in industry, or open problems where academic collaboration could be valuable. For more details, consult the conference WWW site and/or contact conference organizers (see, below). ? PROFESSOR ZDZISLAW PAWLAK AWARDS: * _Best Paper Award_ (600 Euro): the best out of all papers accepted to the conference. * _Young Researcher Award_ (400 Euro): the best out of papers whereby all authors are younger than 40 years. * _Industry Cooperation Award_ (400 Euro): the best out of papers whereby there are at least two different authors, one working in academia and another one in industry. * _International Cooperation Award_ (400 Euro): the best out of papers whereby there are at least two different authors working in institutions located in two different countries. IMPORTANT DATES:? * Paper submission (no extensions): 15.04.2026 * Position paper submission: 19.05.2026 * Author notification: 16.06.2026 * Final paper submission, registration: 30.06.2026 * Early registration discount: 20.07.2026 * Conference date: 23-26.08.2026 PAPER SUBMISSION: * Papers should be submitted by April 15, 2026, strict deadline, no extensions, submission via EasyChair [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/d9ab971afdba754280b4115fb5adad76]. * Authors should submit their work in English, carefully checked for correct grammar and spelling, using the on-line submission procedure. The guidelines for paper formatting provided at the conference website [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/be21ea73dd308b7ca7790a52de4b6801] must be used for all submitted papers. The required submission format is the same as the camera-ready format. Please check, and carefully follow, the instructions and templates [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/c30aa5574915f5662dfa368eb3c09be8] provided. * Papers that are out of the conference scope, or that contain any form of (self)plagiarism will be rejected without reviews. STATEMENT CONCERNING GENERATIVE AI: ? Recognizing the developing issue that affects all academic disciplines (including conference and publications), we would like to explicitly state that, in principle, papers that include unedited text generated from Generative AI (GenAI), including large language models, are prohibited. If the author(s) uses GenAIs to prepare technical aspects of the research (e.g., use of GenAI-generated program code in experiments or simulations), this fact must be clearly marked in the paper, along with an analysis of the impact of this approach on the research results. In addition, it is permissible to use GenAI models at the stage of editorial correction, as long as the changes made are minor and do not substantively affect the article. If, at any time after the conference, it will be discovered that an LLM was explicilty used (and not properly recognized) such contribution will be retracted from the post-conference publication. Overall, it should be emphasized that full responsibility for the content of the publication lies with the author(s). Therefore, any inappropriate, or unethical, use of GenAI models in the preparation of an article may result in its immediate rejection. ? CHAIR OF FEDCSIS 2026: _Nikiforova, Oksana_ Riga Technical University, Riga, Latvia ? HONORARY CHAIR OF FEDCSIS CONFERENCE SERIES: _Maciaszek, Leszek A._ Macquarie University, Australia ? CHAIRS OF THE FEDCSIS CONFERENCE SERIES: _Bolanowski, Marek_ Rzeszow University of Technology, Rzeszow, Poland _Ganzha, Maria_ Warsaw University of Technology and Systems Research Institute, Polish Academy of Sciences, Poland _Paprzycki, Marcin_ Systems Research Institute, Polish Academy of Sciences, and University of Technology and Arts in Warsaw, Poland _Slezak, Dominik_ QUEDEX Software and University of Warsaw, Poland ? INDUSTRIAL TRACK CHAIR _Babris, Kristaps_ Riga Technical University, Riga, Latvia ? ------------------------- Contact: secretariat at fedcsis.org ? FedCSIS in social media * FedCSIS on Facebook: https://www.facebook.com/groups/367888070292 [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/9d27c1ea715729abf9443f0205da7f1e] * FedCSIS on LinkedIn: https://www.linkedin.com/groups/5049184 [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/9be3379e1cf2b3cc274067802806163c] * FedCSIS on Twitter: https://twitter.com/FedCSIS [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/0d1b0a5960a42561f05082acff8c1c68] About the FedCSIS conference series ? FedCSIS is an annual international conference. It is organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter, Systems Research Institute Polish Academy of Sciences, Faculty of Mathematics and Information Sciences of the Warsaw University of Technology, Faculty of Electrical and Computer Engineering of the Rzeszow University of Technology, University of Technology and Arts, Warsaw, Poland. The FedCSIS 2026 is organized in Riga by the Riga Technical University. ? FedCSIS 2026 is technically sponsored by a number of IEEE units and other professional organizations (for the full list, see the conference site). ? FedCSIS 2026 is organized under patronage of: Poland Chapter of INFORMS, Latvian Information and communications technology association (LIKTA), National Society of Informatics in Economics (NtiE), International Rough Set Society (IRSS), Academic Forum, Web Intelligence Consortium (WIC), Polish Neural Network Society (PNNS), European Society for Fuzzy Logic and Technology (EUSFLAT), and Polish Artificial Intelligence Society (PSSI). ? Reports from past editions of FedCSIS can be found in the Archive section of the conference WWW site [https://campaign-statistics.com/link_click/dR43ZV-3y3RRqr-1F1FQU/a2fe972db92956bff191467417ee56be]. ? ? ------------------------- Polish Information Processing Society ul. Solec 38 lok. 103, Warsaw, PL If you would like to unsubscribe, please click here. [https://campaign-statistics.com/unsubscribe/dR43ZV-3y3RRqr-1F1FQU] From elsy.kaddoum at irit.fr Wed Apr 1 09:44:58 2026 From: elsy.kaddoum at irit.fr (Elsy Kaddoum) Date: Wed, 1 Apr 2026 09:44:58 +0200 Subject: [Event@CIG] [reminder] CFP EUMAS'26 - Malmo - September 21-25 Message-ID: <82f9fb85-561d-42cf-bb1b-7d034cf0c134@irit.fr> * Call For Papers 23rd European Conference on Multi-Agent Systems September 21-25, 2026 ?- Malmo, Sweden (EUMAS?26 - https://euramas.github.io/eumas2026/ ) Please circulate, share, and submit your contributions! Apologize for multiple diffusions? The 23rd European Conference on Multi-Agent Systems (EUMAS 2026) will be organized on September 21-25, 2026 by Malm? University. EUMAS 2026is anEURAMAS designated event which follows the tradition of previous editions and aims to encourage and support activity in the research and development of multi-agent systems, in academic and industrial effort. EUMAS enables researchers to meet, present challenges, preliminary and mature research results in an open environment. I - Submissions EUMAS 2026 welcomes original, unpublished papers including improved versions of extended abstracts or (revised) rejected papers from AAMAS, AAAI and IJCAI-ECAI 2026. The submission should describe work that has not been previously published, accepted for publication, nor is currently under review by another conference or journal. All submissions will be peer-reviewed in a single blind fashion. Submission length depends upon the track that you submit to. Additional pages may be used for references and, if needed, a clearly marked appendix. It should be formatted according to Springer?s LNCS format. For templates and instructions for authors, see Conference proceedings guidelines . Authors must submit their papers through the EUMAS 2026 submission site as a single PDF file. This year, EUMAS is accepting submissions across the following 3 tracks: Main Track (15 pages + references) Topics of interest include, but are not limited to : * Engineering Multi Agent Systems, Coordination (e.g., Agent Architectures, Agent Programming Languages, Agent Development Methodologies and Tools, Agent-oriented Software Engineering, etc.) * Organizations, Institutions, Norms and Ethics (e.g., Agent Organizations and Institutions, Communication, Cooperation and Coordination, Collective Intentionality, Trust and Reputation, Negotiation, Computational Social Choice, Emergent Behaviour, etc.) * Multi-Agent Based Simulation (e.g., Agent-Based Simulations and Modeling, Agents and Complex Systems, Social Networks) * Knowledge Representation, Reasoning and Verification for MAS (e.g., Logics for Multi-Agent Systems, Logics for Strategic Reasoning, Verification, Formal Modelling) * Learning in Multi-Agent Systems (e.g., Adaptation and Learning, Cognitive Models, Deep Reinforcement Learning in Multi-Agent Domains, Use of Machine Learning in Agents and Multi-Agent Systems) * Explainable MAS (e.g., Multi-agent Architectures for Explainable Planning, XAI, Explainable Negotiation Protocols and Strategies, Explainable User/Agent Profiling) * MAS for robotic systems and control (e.g., Machine Learning for Multi-Agent Systems, Multi-Robot Systems, Collective and Swarm Intelligence) * Human-Centric MAS (e.g., Human-Agent Interaction, Virtual Agents, LLM-Powered AI Agents) Agent Toolkits (15 pages + references) This track aims to provide a forum for researchers that are involved in developing agent / MAS toolkits and platforms, or that are using them for the development of applications, to exchange ideas, make proposals, suggest challenges, reports interesting use cases and so on - any aspect that could be of interest in the engineering and using Agent Toolkits. Demonstrators (5 pages + references) This track aims to provide opportunities for participants from academia and industry to present their latest developments in agent-based systems. Demonstrations of interest include both applications of multi-agent systems and tools that support developers in the specification, design, implementation and testing of agent systems. II - Proceedings EUMAS 2026 features formal proceedings published as part of the Lecture Notes in Computer Science (LNCS) series of Springer. The best paper will be invited for fast-track publication of an extended version in the Autonomous Agents and Multi-Agent Systems Journal (JAAMAS). III - Important dates * Paper Submission Deadline: ? 18 May 2026 (AoE, UTC-12) * Author Notification: ? 30 June 2026 (AoE, UTC-12) * Camera Ready Papers: 19 July 2026 (AoE, UTC-12) * EUMAS Conference:? 21-25 September 2026 IV - Committees (eumas2026 at mau.se) Organizing Committee * Fabian Lorig (Malm? University) * Paul Davidsson (Malm? University) * Franziska Kl?gl (?rebro University) Program Chairs * Juan Carlos Nieves Sanchez (Ume? University) * Val?rie Camps (Universit? de Toulouse) * Elsy Kaddoum (Universit? de Toulouse II) Local Chairs * Johan Holmgren (Malm? University) * Gion Koch Svedberg (Malm? University) * Nosheen Abid (Malm? University) Program Committee Tba Looking forward to hearing from you, Best regards, EUMAS?26 program chairs * From fmec2024 at gmail.com Wed Apr 1 16:03:08 2026 From: fmec2024 at gmail.com (FLICS) Date: Wed, 1 Apr 2026 16:03:08 +0200 Subject: [Event@CIG] CFP: The 2026 International Conference on Next-Generation AI Systems | SCOPUS Indexed | Trento, Italy Message-ID: *CFP: The 2026 International Conference on Next-Generation AI Systems (NGEN-AI 2026)* https://ngen-ai.org/ *Theme:* *One conference for every AI direction: Foundational models, Generative, Agentic, Federated, and **Deep Learning, **XAI, Trust, and Edge Intelligence. * *Venue*: *Trento, Italy (1-4 September 2026)* Scope We invite high-quality, original contributions that advance the theory, engineering, and real-world impact of Next Generation AI Systems?spanning federated and distributed intelligence; small, large, and generative models; agentic and interactive AI; deep learning and representation learning; explainability and transparency; trustworthy, responsible, and sustainable AI; MLOps and lifecycle management; AI systems and infrastructures; and application-driven research with societal impact. NGEN-AI 2026 brings together researchers, practitioners, and industry leaders working on the next wave of artificial intelligence. The conference provides a platform for interdisciplinary collaboration, bridging theoretical foundations and practical implementations in intelligent, trustworthy, and sustainable AI systems deployed across diverse domains and real-world environments. Indexing All accepted papers will be published in the Springer CCIS series, indexed in leading databases including *SCOPUS, Norwegian Register for Scientific Journals and Series*,* DBLP, EI Compendex, INSPEC, SCImago, zbMATH, and the Japanese Science and Technology Agency (JST).* General Chairs - Marco Roveri, University of Trento, Italy - Sadi Alawadi, Blekinge Institute of Technology, Sweden Important Dates Paper Submission Deadline: May 25, 2026 Notification of Acceptance July 15, 2026 Camera-ready Submission August 10, 2026 All deadlines are in Anywhere on Earth (AoE) time. Topics of Interest The NGEN-AI conference welcomes research, experience, and vision papers that explore foundational methods, systems, and applications of next generation AI. Topics of interest for each track include, but are not limited to, the following. Federated Learning The Federated Learning track focuses on learning paradigms that enable models to be trained collaboratively across devices and organizations without centralizing raw data. We are particularly interested in approaches that push computation closer to the edge while preserving privacy, robustness, and scalability in realistic deployments. Contributions may address algorithms for heterogeneous and non-IID data, personalization strategies, communication-efficient protocols, secure aggregation and differential privacy, resource-aware federated learning on constrained hardware, as well as demonstrators and case studies in domains such as healthcare, finance, smart cities, and industrial IoT. ? Architectures for cross-device and cross-silo federated learning. ? Federated optimization under non-IID, sparse, or unbalanced data distributions. ? Personalized and on-device adaptation strategies in federated settings. ? Communication-efficient FL (compression, sparsification, update scheduling). ? Privacy-preserving FL: secure aggregation, differential privacy, homomorphic encryption. ? Robustness to poisoning, backdoor, and Byzantine attacks in federated scenarios. ? Energy- and resource-aware FL on mobile, edge, and IoT devices. ? Federated learning in vertical, horizontal, and hybrid data partitioning settings. ? Federated analytics and federated evaluation techniques. ? MLOps for FL: lifecycle management, monitoring, and deployment at scale. ? Benchmarking, simulators, datasets, and reproducibility studies for FL. ? Real-world applications in healthcare, finance, smart industry, and smart cities. ? Regulatory, ethical, and governance aspects of federated and collaborative learning. Small & Large Language Models and Generative AI This track targets advances in small and large language models (SLMs and LLMs) and other generative AI models that synthesize and reason over text, code, images, audio, and multimodal data. We welcome work on model architectures, training strategies, and deployment techniques that improve performance, controllability, safety, and efficiency of foundation and generative models in real-world settings. Relevant contributions span from core modelling and optimization to evaluation, alignment, and application-driven studies, including systems that tightly integrate language and generative models with external tools, data sources, and complex software architectures. ? Architectures and training recipes for SLMs, LLMs, and foundation models. ? Pre-training, instruction-tuning, alignment (e.g., RLHF, DPO, preference optimization). ? Domain-specific and compact SLMs for on-device and resource-constrained settings. ? Prompt engineering, in-context learning, function calling, and tool-augmented pipelines. ? Retrieval-augmented generation and knowledge-grounded generative models. ? Generative models for text, code, images, audio, video, and multimodal content. ? Model compression, distillation, quantization, and sparsity for efficient deployment. ? Edge and on-device deployment of SLMs/LLMs and generative models. ? Safety, robustness, and red-teaming of generative systems (toxicity, hallucinations, bias). ? Evaluation methodologies, benchmarks, and human-in-the-loop assessment. ? Generative AI for scientific discovery, simulation, and data augmentation. ? Software engineering with LLMs: code generation, refactoring, testing, and verification. ? Governance, transparency, IP, and regulatory aspects of foundation and generative models. Deep Learning Architectures & Representation Learning This track focuses on advances in deep learning architectures and representation learning methods that underpin next generation AI systems. We invite contributions that improve expressiveness, robustness, interpretability, and efficiency across supervised, unsupervised, and self-supervised learning paradigms. We particularly encourage work that bridges novel architectures with deployment constraints, addresses data scarcity and bias, or opens up new application domains. ? Novel neural architectures (transformers, graph neural networks, diffusion models, etc.). ? Self-supervised, contrastive, and representation learning at scale. ? Multimodal learning and fusion of heterogeneous data sources. ? Curriculum learning, meta-learning, and continual / lifelong learning. ? Robust and certified deep learning under distribution shift and adversarial attacks. ? Interpretable and explainable deep learning methods. ? Data-centric AI: dataset curation, quality, and augmentation strategies. ? Efficient training and inference: pruning, low-rank adaptation, and sparse models. ? Neural architecture search and automated model design. ? Applications of deep learning in vision, language, time series, recommender systems, and beyond. Agentic AI This track concentrates on agentic AI systems that perceive, reason, plan, and act over extended time horizons-often in dynamic environments and in collaboration with humans or other agents. We are interested in both theoretical foundations and practical deployments of autonomous and semi-autonomous agents in digital and physical settings. We particularly encourage submissions that connect planning and decision making with learning, perception, and interaction, and that critically examine the reliability, safety, and societal impact of agentic AI. ? Architectures for autonomous, semi-autonomous, and mixed-initiative agents. ? Planning, reasoning, and long-horizon decision making for agentic systems. ? Reinforcement learning, hierarchical RL, and model-based control for agents. ? LLM-driven agents, tool-using agents, and workflow / task orchestration. ? Multi-agent systems: coordination, negotiation, communication, and cooperation. ? Human-agent interaction, explainability, and trust in agentic AI systems. ? Safety, verification, alignment, and oversight for autonomous agents. ? Simulation environments, digital twins, and benchmarks for agentic AI. ? Agents in robotics, autonomous vehicles, logistics, smart grids, and IoT environments. ? Social, economic, and ethical implications of pervasive agentic AI. ? Engineering methodologies, software frameworks, and tooling for large-scale agent systems. ? Hybrid symbolic-subsymbolic approaches for reasoning and acting. MLOps, AI Engineering & Lifecycle Management This track addresses the engineering and operational aspects of building, deploying, and maintaining AI systems in production. It covers the full lifecycle from data and model pipelines to monitoring, governance, and socio-technical considerations in organizations. We invite contributions that connect software engineering, DevOps, and platform engineering practices with the unique requirements of machine learning and foundation models. ? MLOps platforms and infrastructure for scalable training and deployment. ? CI/CD for ML, continuous training, and continuous evaluation. ? Data and feature management: data versioning, feature stores, and lineage tracking. ? Monitoring, observability, and incident response for AI systems. ? Model governance, risk management, and compliance (e.g., AI Act, sectoral regulation). ? Testing, debugging, and quality assurance for ML components and pipelines. ? Infrastructure for serving LLMs and generative models at scale. ? Cost- and energy-aware deployment and scheduling of AI workloads. ? Organizational processes and roles for AI/ML teams. ? Case studies and lessons learned from real-world AI production deployments. Explainable AI (XAI) & Transparency This track focuses on methods and practices that make next generation AI systems understandable, transparent, and auditable for humans. We welcome contributions that improve how AI systems explain their decisions and behaviors, enabling trust, accountability, and effective human oversight in real-world deployments. We encourage work spanning intrinsic interpretability and post-hoc explanations, explanation quality evaluation, and human-centered design of explanations, including applications to foundation models, agentic systems, and distributed AI settings. ? Post-hoc explanations (e.g., feature attribution, saliency, local surrogate models). ? Intrinsic interpretability and transparent model design. ? Counterfactual and contrastive explanations. ? Uncertainty estimation, calibration, and communicating confidence to users. ? Explainability for LLMs and generative AI (faithfulness, grounding, rationale analysis). ? Explainability in federated, privacy-preserving, and edge AI settings. ? Explainable decision making for agentic and multi-agent systems. ? Human-centered explanation design, usability, and user studies. ? Evaluation and benchmarking of explanations (faithfulness, robustness, usefulness). ? Auditing, debugging, and root-cause analysis for AI systems. ? Transparency documentation (e.g., model cards, datasheets) and reporting standards. ? Regulatory, ethical, and governance aspects related to transparency and explainability. Trustworthy, Responsible & Sustainable AI This track focuses on the qualities that enable next generation AI systems to be adopted and relied upon in society: trustworthiness, responsibility, and sustainability. We welcome contributions that align AI systems with human values and public expectations, ensuring they are safe, fair, transparent, and robust across real-world contexts. We particularly encourage work that connects technical advances with governance and socio-technical practices, including evaluation methodologies and lifecycle approaches that reduce risk and environmental impact while improving accountability. ? Trustworthiness by design: safety, reliability, and robustness under distribution shift. ? Fairness, bias mitigation, and inclusive AI across populations and contexts. ? Accountability, transparency, and auditability in AI systems. ? Human values and alignment: human-centered objectives, oversight, and control. ? Responsible AI governance: policies, risk management, and compliance practices. ? Privacy, security, and protection against adversarial and data poisoning attacks. ? Evaluation frameworks, metrics, and benchmarks for trustworthy and responsible AI. ? Monitoring and lifecycle management for responsible AI in production. ? Sustainable AI: energy-efficient training/inference, green AI, and carbon-aware operation. ? Responsible data practices: provenance, consent, documentation, and data stewardship. ? Socio-technical studies of AI adoption, impact, and organizational readiness. ? Case studies and lessons learned from responsible and sustainable AI deployments. AI Systems, Hardware & Edge/Cloud Infrastructures This track focuses on systems, architectures, and hardware platforms that enable efficient and sustainable execution of next generation AI workloads. Submissions may address full-stack co-design from algorithms and compilers down to accelerators and distributed infrastructures. We particularly welcome work that bridges AI models with constraints of real-world platforms, including edge devices, heterogeneous clusters, and specialized hardware. ? Distributed and parallel systems for large-scale training and inference. ? Scheduling and placement of AI workloads across edge, fog, and cloud. ? Hardware accelerators (GPUs, TPUs, NPUs, FPGAs) and co-design for AI. ? Systems support for LLMs and foundation models (sharding, offloading, caching). ? Energy-efficient and green AI computing, including carbon-aware orchestration. ? Runtime systems, compilers, and libraries for AI workloads. ? Edge AI and embedded AI for IoT, CPS, and real-time applications. ? Resilience, fault tolerance, and reliability of AI systems and infrastructures. ? Benchmarks, performance analysis, and optimization of AI systems. Applications & Societal Impact of Next Generation AI This track brings together application-driven research and critical perspectives on the impact of next generation AI systems on individuals, organizations, and society. We welcome studies that combine technical innovation with domain insights, as well as empirical analyses of adoption, impact, and governance. Interdisciplinary work at the intersection of AI, human-computer interaction, social sciences, and policy is particularly encouraged. ? Next generation AI applications in healthcare, finance, education, mobility, and industry. ? AI for sustainability, climate, energy, and environmental monitoring. ? Human-AI collaboration, co-creation, and augmented decision making. ? Fairness, accountability, transparency, and ethics in AI systems. ? Regulation, standards, and governance frameworks for AI. ? Socio-technical analyses of AI deployment and organizational transformation. ? User studies, field deployments, and longitudinal evaluations. ? Public sector and civic applications of AI (e-government, public services, smart cities). ? Education, upskilling, and capacity building for AI-literate societies. Submission Types ? Long Papers (16 pages): original research with clear methodology, results, and contributions. ? Short Papers (8 pages): Short research contributions, focused studies, and demo or artifact papers. ? Poster Papers (6 pages): Concise presentations of work in progress and undergraduate research. Submission Portal Submissions are handled via EasyChair. For submission guidelines and the submission link, please visit: https://ngen-ai.org/index.php We look forward to receiving your contributions and to welcoming you at NGEN-AI 2026 in Trento, Italy! From kyrozier at iastate.edu Fri Apr 3 00:53:33 2026 From: kyrozier at iastate.edu (Rozier, Kristin-Yvonne [AER E]) Date: Thu, 2 Apr 2026 22:53:33 +0000 Subject: [Event@CIG] FMICS 2026: Last Call for Papers! Message-ID: <7a9599f3-bfb9-4ccd-ac2d-d3610947ba5c@iastate.edu> ********************************************************** ? Formal Methods for Industrial Critical Systems (FMICS) ? 31st International Conference, co-located with CONFEST https://confest-2026.github.io/fmics/ ? ? ? ? ? ? ? ? ?2 - 4 September 2026 ? ? ? ? University of Liverpool, Liverpool, UK ********************************************************** Theme of the Conference: ----------------------- The aim of the FMICS conference series is to provide a forum for researchers an practitioners who are interested in the development and application of formal methods in industry. FMICS brings together scientists and engineers who are active in the area of formal methods and interested in exchanging their experiences in the industrial usage of these methods. The FMICS conference series also strives to promote research and development for the improvement of formal methods and tools for industrial applications. FMICS is the ERCIM Working Group conference on Formal Methods for Industrial Critical Systems, and it is the key conference in the intersection of industrial applications and Formal Methods. Topics of Interest: ------------------- We encourage submissions on cross-cutting approaches that bring together formal methods and industrial applications. ? ? * Formal specification, including specification elicitation, validation, debugging, sanity checking, revision, coverage, and explainability. ? ? * Case studies and experience reports on industrial applications of formal methods, focusing on lessons learned or identification of new research directions. ? ? * Methods, techniques, and tools to support automated analysis, certification, debugging, learning, optimization, and transformation of complex, distributed, real-time, embedded, mobile, and autonomous systems. ? ? * Verification and validation methods (model checking, theorem proving, SAT/SMT constraint solving, abstract interpretation, etc.) that address shortcomings of existing methods with respect to their industrial applicability (e.g., scalability and usability issues, tool qualification, and certification). ? ? * Transfer to industry and impact of adoption of formal methods on the development process and associated costs in industry. Application of formal methods in standardization and industrial forums. Important Dates: ---------------- Abstract Submission: 10 Apr 2026 Paper Submission:? ? 17 Apr 2026 Paper Notifications:? 1 Jun 2026 Camera-ready Papers: 15 Jun 2026 Conference:? ? ? ? ?2-4 Sep 2026 Submission Details: ------------------- Papers must describe original research work and results. Submitted papers must not have previously appeared in a journal or conference with published proceedings and must not be concurrently submitted to any other peer-reviewed workshop, symposium, conference, or archival journal. Any partial overlap with any such published or concurrently submitted paper must be clearly indicated. Submissions should clearly motivate relevance to industrial applications. Case study papers should identify lessons learned, validate theoretical results (such as scalability of methods), and provide specific motivation for further research and development. Papers should not exceed 15 pages (excluding references) formatted according to the Springer author guidelines LNCS style. Any appendices (beyond the above page limit) might not be considered in the review process. All submissions will be reviewed by at least three members of the Programme Committee, which will make a selection among the submissions based on the novelty, soundness, and applicability of the presented ideas and results. Papers must be written in English and submitted in PDF format at the EasyChair submission site: https://easychair.org/conferences?conf=fmics2026 For all papers with experimental results, we strongly recommend providing reviewers with an artifact that they can use to reproduce results, e.g., via a paper website. ERCIM Award: ------------ As in best FMICS tradition, the paper with the best contributions to Software Science and Technology will be honoured with the EASST ERCIM award. Keynote Speakers: ----------------- Julia Badger, NASA Johnson Space Center, USA Colin O?Halloran, D-RisQ, UK Ezio Bartocci, TU Wien, Austria (Shared CONFEST Keynote) Ichiro Hasuo, National Institute of Informatics, Japan (Shared CONFEST Keynote) Organizers: ----------- Peter Gorm Larsen (Aarhus University, Denmark) Kristin Yvonne Rozier (Iowa State University, USA) Programme Committee: -------------------- Jefferson Andrade, Instituto Federal do Esp?rito Santo Ramesh Bharadwaj, U.S. Navy John Fitzgerald, Newcastle University John Hatcliff, Kansas State University Joseph Kiniry, Galois, Inc. Tsutomu Kobayashi, Japan Aerospace Exploration Agency (JAXA) Tiziana Margaria, University of Limerick Mieke Massink, CNR-ISTI, Pisa, Italy Stephan Merz, INRIA Nancy Stefan Mitsch, DePaul University Rosemary Monahan, Maynooth University Tomohiro Oda, Software Research Associates, Inc. Claudio Pinello, Collins Aerospace Anne Remke, WWU M?nster Cristina Seceleanu, M?lardalen University Martina Seidl, Johannes Kepler University Linz Giulia Sindoni, University of Leeds Bernhard Steffen, University of Dortmund Laura Titolo, Code Metal Christoph Torens, German Aerospace Center, Institute of Flight Systems Jaco van de Pol, Aarhus University and University of Twente Marcel Verhoef, European Space Agency Virginie Wiels, ONERA / DTIS Anton Wijs, Eindhoven University of Technology Naijun Zhan, Institute of Software, Chinese Academy of Sciences -- ____________________________________________________________ __ /\ \ \_____ / \ ###[==_____> / \ /_/ __ / __ \ \ \_____ | ( ) | ###[==_____> /| /\/\ |\ /_/ / | | | | \ / |=|==|=| \ Kristin Yvonne Rozier, Ph.D. / | | | | \ Associate Professor, Iowa State Univ / USA | ~||~ |NASA \ Departments of Aerospace Engineering, |______| ~~ |______| Computer Science, Mathematics, and (__||__) Electrical and Computer Engineering /_\ /_\ !!! !!!https://laboratory.temporallogic.org From jyb.logos at gmail.com Sat Apr 4 15:40:20 2026 From: jyb.logos at gmail.com (Jean-Yves Beziau) Date: Sat, 4 Apr 2026 15:40:20 +0200 Subject: [Event@CIG] =?utf-8?b?Q2ZQIOKAkyBTUVVBUkUgOSAoTW9udHLDqWFsLCBK?= =?utf-8?b?dW5lIDIy4oCTMjYsIDIwMjYp?= In-Reply-To: References: Message-ID: We are pleased to announce SQUARE 9 to be held at Universit? du Qu?bec ? Montr?al (UQAM), Montr?al, Canada, June 22?26, 2026. This is the 9th edition of the World Congress on the Square of Opposition after very successful previous editions in Montreux, Switzerland 2007; Corte, Corsica 2010; Beirut, Lebanon 2012; Vatican, 2014; Easter Island, 2016; Crete, 2018; Leuven, Belgium 2022; San Jose, Costa Rica, 2024. SQUARE is a unique interdisciplinary event bringing together logicians, philosophers, mathematicians, semioticians, computer scientists, artists, to explore the many facets of the Square of Opposition and its modern developments. Topics include (but are not limited to): - Classical and non-classical squares - Logical geometry (hexagons, cubes, beyond) - Philosophical and historical perspectives - Applications in cognition, language, and AI - Interdisciplinary and creative approaches Submission deadline: April 17, 2026 Format: One-page abstract More information and submission details: https://sites.google.com/view/square9-montreal-2026/ This time of year is one of the very best moments to be in Montr?al. (A) On Wednesday, June 24, the city celebrates the F?te de la Saint-Jean-Baptiste, the national holiday of Qu?bec. This public holiday will offer a pleasant break in the middle of our event, which begins on Monday, June 22. (B) Immediately afterwards, from June 25 to July 4, Montr?al hosts its world-famous International Jazz Festival, one of the largest and most vibrant music festivals in the world. It is worth noting that the first edition of SQUARE took place in Montreux in 2007, where we organized a jazz performance inspired by the Square of Opposition: https://www.square-of-opposition.org/music.html Excerpts from this performance can be seen and heard in the DVD included with the proceedings volume: The Square of Opposition: A General Framework for Cognition https://www.amazon.com/Square-Opposition-General-Framework-Cognition/dp/3034305370 For more information about (A) and (B), please visit: https://sites.google.com/view/square9-montreal-2026/montr%C3%A9al Join us in the vibrant city of Montr?al for a stimulating international meeting at the crossroads of logic, philosophy, mathematics and beyond! The Organizers Jean-Yves Beziau, Federal University of Rio de Janeiro (UFRJ), Brazil Serge Robert, University du Qu?bec ? Montr?al (UQ?M), Canada