Activité de recherche

Marcin Detyniecki est chargé de recherche première classe au CNRS depuis janvier 2002. Depuis sa thèse il travaille, en alternance avec des séjours à l’étranger, au Laboratoire d’Informatique (LIP6) de l’Université Pierre et Marie Curie (UPMC). Avant son DEA en Intelligence Artificielle, il a suivi en parallèle des études en physique et en mathématiques appliquées à l’UPMC. C’est dans cette même université qu’il a soutenu sa thèse en 2000. Il est habilité à diriger des recherches depuis 2006, par l’UPMC et par l’Académie des Sciences de Pologne. Au cours de sa carrière professionnelle, il a été personnel de recherche de l’Université de Californie à Berkeley (2000-2001) et de l’Université Carnegie Mellon aux Etats-Unis (2009-2010), ainsi que chercheur invité à l’Université de Florence, en Italie, (2005) et au centre de recherche Adastral Park de British Telecom au Royaume Uni (2005). Son domaine de recherche se situe entre le cadre théorique de l’intelligence artificielle et son application à des défis liés au fossé entre signal et sémantique. La problématique qu’il considère vise à répondre à la question de savoir comment faire pour qu’une machine soit capable d’apprendre (ou de gérer) les relations qui existent entre la description numérique d’un signal brut (provenant d’une image ou d’un capteur par exemple) et le sens qu’on donne à ce signal ? Le spectre des nouvelles technologies qu’il développe est large, se matérialisant sous forme d’applications dans des domaines allant de l’assistance aux personnes à l’aide à la décision en finance en passant par des moteurs de recherche visuels et mobiles. Les résultats théoriques qu’il a obtenus (parmi lesquels on peut citer par exemple l’impossibilité de neutralité dans des systèmes logiques graduels, heuristiques performantes à optimalité garantie pour l’isomorphisme inexact de graphes) ont été à l’origine de plusieurs conférences invitées et de participation à des panels internationaux. Les solutions techniques qu’il a apportées ont été bien classées dans les compétitions internationales (organisées par NIST, Evaluation Forum CLEF) et ont également été déployées (par exemple sur le site de la Tate Gallery de Londres). Marcin Detyniecki est l’auteur plus de 85 publications dans des revues et des conférences internationales. Il a également édité sept livres et un numéro spécial de journal. Il est rapporteur régulier pour des journaux en intelligence artificielle et en multimédia.

10 Docteurs 2004 - 2022

Publications 1999-2023

• 2023
  • A. Jeyasothy, Th. Laugel, M.‑J. Lesot, Ch. Marsala, M. Detyniecki : “A General Framework for Personalising Post Hoc Explanations through User Knowledge Integration”, International Journal of Approximate Reasoning, vol. 160, pp. 108944, (Elsevier) (2023)
  • Th. Laugel, A. Jeyasothy, M.‑J. Lesot, Ch. Marsala, M. Detyniecki : “Achieving Diversity in Counterfactual Explanations: a Review and Discussion”, FAccT ’23, vol. 23 (6), Chicago, Il, United States, (ISBN: 979-8-4007-0192-4) (2023)
  • C. Bove, M.‑J. Lesot, Ch. Tijus, M. Detyniecki : “Investigating the Intelligibility of Plural Counterfactual Examples for Non-Expert Users: an Explanation User Interface Proposition and User Study”, IUI '23: Proceedings of the 28^th International Conference on Intelligent User Interfaces (IUI ’23), Sydney, Australia, pp. 188-203, (ACM), (ISBN: 979-8-4007-0106-1) (2023)
• 2022
  • A. Jeyasothy, Th. Laugel, M.‑J. Lesot, Ch. Marsala, M. Detyniecki : “Intégration de connaissances dans les méthodes d’explications post-hoc”, Rencontres francophones sur la logique floue et ses applications, Toulouse, France (2022)
  • A. Jeyasothy, Th. Laugel, M.‑J. Lesot, Ch. Marsala, M. Detyniecki : “Integrating Prior Knowledge in Post-hoc Explanations”, Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'2022), vol. 1602, Communications in Computer and Information Science, Milan, Italy, pp. 707–719, (Springer) (2022)
  • C. Bove, J. Aigrain, M.‑J. Lesot, Ch. Tijus, M. Detyniecki : “Contextualization and Exploration of Local Feature Importance Explanations to Improve Understanding and Satisfaction of Non-Expert Users”, IUI '22: 27^th International Conference on Intelligent User Interfaces, Helsinki, Finland, pp. 807-819, (ACM) (2022)
• 2021
  • V. Grari, O. Hajouji, S. Lamprier, M. Detyniecki : “Learning Unbiased Representations via Rényi Minimization”, European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD 2021, vol. 12976, Lecture Notes in Computer Science, Bilbao, Spain, pp. 749-764, (Springer International Publishing) (2021)
  • C. Bove, J. Aigrain, M.‑J. Lesot, Ch. Tijus, M. Detyniecki : “Contextualising local explanations for non-expert users: an XAI pricing interface for insurance”, Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26^th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), vol. 2903, CEUR Workshop Proceedings, College Station, United States, (CEUR-WS.org) (2021)
• 2020
  • V. Grari, S. Lamprier, M. Detyniecki : “Fairness-Aware Neural Rényi Minimization for Continuous Features”, Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}, Yokohama, Japan, pp. 2262-2268, (International Joint Conferences on Artificial Intelligence Organization) (2020)
  • V. Grari, B. Ruf, S. Lamprier, M. Detyniecki : “Achieving Fairness with Decision Trees: An Adversarial Approach”, Data Science and Engineering, vol. 5 (2), pp. 99-110, (Springer) (2020)
• 2019
  • V. Ballet, †. Xavier, J. Aigrain, Th. Laugel, P. Frossard, M. Detyniecki : “Imperceptible Adversarial Attacks on Tabular Data”, NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness and Privacy (Robust AI in FS 2019), Vancouver, Canada (2019)
  • M. Sammarco, M. Campista, M. Detyniecki, T. Razafindralambo, M. Dias De Amorim : “Unsupervised Detection of Adversarial Collaboration in Data-Driven Networking”, International Conference on Networks of the Future (NoF), International Conference on Networks of the Future (NoF), Rome, Italy (2019)
  • Th. Laugel, M.‑J. Lesot, Ch. Marsala, X. Renard, M. Detyniecki : “Unjustified Classification Regions and Counterfactual Explanations In Machine Learning”, Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019. Lecture Notes in Computer Science, vol 11907, vol. 11907 (II), Lecture Notes in Computer Science, Würzburg, Germany, pp. 37-54 (2019)
  • Th. Laugel, M.‑J. Lesot, Ch. Marsala, X. Renard, M. Detyniecki : “The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations”, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI-19}, Macao, Macao, pp. 2801-2807, (International Joint Conferences on Artificial Intelligence Organization) (2019)
  • Th. Laugel, M.‑J. Lesot, Ch. Marsala, M. Detyniecki : “Issues with post-hoc counterfactual explanations: a discussion”, ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, United States (2019)
• 2018
  • X. Renard, Th. Laugel, M.‑J. Lesot, Ch. Marsala, M. Detyniecki : “Detecting Potential Local Adversarial Examples for Human-Interpretable Defense”, Workshop on Recent Advances in Adversarial Learning (Nemesis) of the European Conference on Machine Learning and Principles of Practice of Knowledge Discovery in Databases (ECML-PKDD), Dublin, Ireland (2018)
  • Th. Laugel, X. Renard, M.‑J. Lesot, Ch. Marsala, M. Detyniecki : “Defining Locality for Surrogates in Post-hoc Interpretablity”, Workshop on Human Interpretability for Machine Learning (WHI) - International Conference on Machine Learning (ICML), Stockholm, Sweden (2018)
  • Th. Laugel, M.‑J. Lesot, Ch. Marsala, X. Renard, M. Detyniecki : “Comparison-based Inverse Classification for Interpretability in Machine Learning”, 17^th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, Cadix, Spain, pp. 100-111, (Springer Verlag) (2018)
• 2017
  • S. Lefort, M.‑J. Lesot, E. Zibetti, Ch. Tijus, M. Detyniecki : “How Arithmically Fuzzy Are We? An Empirical Comparison of Human Imprecise Calculation and Fuzzy Arithmetic”, FUZZ-IEEE - IEEE International Conference on Fuzzy Systems, Naples, Italy (2017)
  • S. Lefort, E. Zibetti, M.‑J. Lesot, M. Detyniecki, Ch. Tijus : “Dimensions for automatic interpretation of approximate numerical expressions: An empirical study”, ACM IUI 2017, IUI'17 Proceedings of the 22^nd International Conference on Intelligent User Interfaces, Limassol, Cyprus (2017)
  • S. Lefort, M.‑J. Lesot, E. Zibetti, Ch. Tijus, M. Detyniecki : “Interpretation of approximate numerical expressions: Computational model and empirical study”, International Journal of Approximate Reasoning, vol. 82, pp. 193-209, (Elsevier) (2017)
• 2016
  • P.‑X. Loeffel, V. Lemaire, Ch. Marsala, M. Detyniecki : “Improving the Prediction Cost of Drift Handling Algorithms by Abstaining”, IEEE International Conference on Data Mining (ICDM 2016), Barcelone, Spain (2016)
  • J. Aigrain, A. Dapogny, K. Bailly, S. Dubuisson, M. Detyniecki, M. Chetouani : “On leveraging crowdsourced data for automatic perceived stress detection”, ICMI 2016 - 18^th ACM International Conference on Multimodal Interaction, Tokyo, Japan, pp. 113-120, (ACM Press) (2016)
  • S. Lefort, M.‑J. Lesot, E. Zibetti, Ch. Tijus, M. Detyniecki : “Interprétation floue des expressions numériques approximatives”, 25^es Rencontres Francophones sur la Logique Floue et ses Applications, La Rochelle, France (2016)
  • X. Renard, M. Rifqi, G. Fricout, M. Detyniecki : “EAST representation: fast discovery of discriminant temporal patterns from time series”, ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Riva Del Garda, Italy (2016)
  • M. Blot, M.‑J. Lesot, M. Detyniecki : “Transformation-based constraint-guided Generalised Modus Ponens”, Proc. of the IEEE WCCI International Conference, Vancouver, Canada (2016)
  • S. Lefort, M.‑J. Lesot, E. Zibetti, Ch. Tijus, M. Detyniecki : “How much is " about " ? Fuzzy interpretation of approximate numerical expressions”, 16^th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'16), Eindhoven, Netherlands (2016)
  • P.‑X. Loeffel, Ch. Marsala, M. Detyniecki : “Memory management for data streams subject to concept drift”, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium (2016)
  • J. Aigrain, M. Spodenkiewicz, S. Dubuisson, M. Detyniecki, D. Cohen, M. Chetouani : “Multimodal stress detection from multiple assessments”, IEEE Transactions on Affective Computing, vol. PP (99), pp. 1-1, (Institute of Electrical and Electronics Engineers) (2016)
• 2015
  • X. Renard, M. Rifqi, W. Erray, M. Detyniecki : “Random-shapelet: an algorithm for fast shapelet discovery”, 2015 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Paris, France, pp. 1-10, (IEEE) (2015)
  • P.‑X. Loeffel, Ch. Marsala, M. Detyniecki : “Classification with a reject option under Concept Drift: the Droplets Algorithm”, Proceedings of the IEEE International Conference on Data Science and Advanced Analytics (DSAA'2015), Paris, France (2015)
  • M. Canu, M. Detyniecki, M.‑J. Lesot, A. Revault D'Allonnes : “Fast community structure local uncovering by independent vertex-centred process”, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Paris, France, pp. 823-830, (ACM) (2015)
  • J. Aigrain, S. Dubuisson, M. Detyniecki, M. Chetouani : “Person-specific behavioural features for automatic stress detection”, 2015 11^th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), Ljubljana, Slovenia (2015)
• 2014
  • M. Canu, M. Detyniecki, M.‑J. Lesot : “Utilisation de la structure communautaire pour guider une marche aléatoire”, Actes de la 5^e Conférence sur les Modèles et l’Analyse des Réseaux : Approches Mathématiques et Informatique (MARAMI'14), Paris, France, pp. p5 (2014)
  • M. Detyniecki, M.‑J. Lesot, P. Moncuquet : “Intuitionistic Fuzzy Tautology Definitions for the Validity of Intuitionistic Fuzzy Implications: An Experimental Study”, Intelligent Systems'2014, vol. 322, Advances in Intelligent Systems and Computing, Warsaw, Poland, pp. 171-182, (Springer) (2014)
  • M.‑J. Lesot, M. Detyniecki : “Etablissement de relations entre émotions, couleurs subjectives et couleurs objectives à partir d’annotations spontanées”, Workshop Affect, Compagnon Artificiel, Interaction -- WACAI'2014, Rouen, France, pp. 71-76 (2014)
  • N. Labroche, M. Detyniecki, Th. Bärecke : “Comparaison de bornes théoriques pour l’accélération du clustering incrémental en une passe”, EGC 2014, vol. RNTI-E-26, Revue des Nouvelles Technologies de l'Information, Rennes, France, pp. 467-478 (2014)
• 2013
  • N. Labroche, M. Detyniecki, Th. Bärecke : “Accelerating one-pass clustering by cluster selection racing”, Proceedings of IEEE International Conference on Tools with Artificial Intelligence - ICTAI 2013, Washington DC, United States, pp. 491-498, (IEEE) (2013)
  • Ch. Kuoman Mamani, S. Tollari, M. Detyniecki : “UPMC at MediaEval 2013: Relevance by Text and Diversity by Visual Clustering”, MediaEval 2013 Multimedia Benchmark Workshop, vol. 1043, CEUR Workshop Proceedings, Barcelona, Spain, (CEUR-ws.org) (2013)
  • M. Detyniecki, B. Bouchon‑Meunier, B. Moubêche : “Modus Ponens Généralisé avec contrôle d’applicabilité de la règle”, Rencontres Francophones sur la Logique Floue et ses Applications - LFA'2013, Reims, France (2013)
  • Ph. Vo, M. Detyniecki : “Towards Smooth Monotonicity in Fuzzy Inference System based on Gradual Generalized Modus Ponens”, Proceedings of the 8^th conference of the European Society for Fuzzy Logic and Technology - EUSFLAT'13, Milano, Italy, pp. 788-795, (Atlantis Press) (2013)
  • Ph. Vo, M. Detyniecki, B. Bouchon‑Meunier : “Gradual Generalized Modus Ponens”, The IEEE International Conference on Fuzzy Systems - FUZZ-IEEE'2013, Hyderabad, India, pp. 1-7, (IEEE) (2013)
  • Ch. Kuoman Mamani, S. Tollari, M. Detyniecki : “Using Tree of Concepts and Hierarchical Reordering for Diversity in Image Retrieval”, CBMI 2013 - 11^th International Workshop on Content-Based Multimedia Indexing, Veszprém, Hungary, pp. 251-256, (IEEE) (2013)
  • Ch. Kuoman Mamani, S. Tollari, M. Detyniecki : “Diversité hiérarchique et utilisation d’arbres de concepts pour la recherche d’images”, Conference en Recherche d'Information et Applications (CORIA 2013), Neuchâtel, Switzerland (2013)
  • M. Detyniecki, A. García‑Serrano, A. Nürnberger, S. Stober : “Adaptive Multimedia Retrieval: Large-Scale Multimedia Retrieval and Evaluation”, 9^th International Workshop on Adaptive Multimedia Retrieval, AMR 2011, vol. 7836, Lecture Notes in Computer Science, Barcelona, Spain, pp. 141, (Springer), (ISBN: 978-3-642-37424-1) (2013)
• 2012
  • M. Detyniecki, Ch. Marsala, A. Krishnan, M. Siegel : “Weather-Based Solar Energy Prediction”, Proceedings of the Fuzz-IEEE'2012 Conference, IEEE WCCI'2012 International Congress, Brisbane, Australia, pp. 587-593, (IEEE) (2012)
  • M. Detyniecki, P. Knees, A. Nürnberger, M. Schedl, S. Stober : “Adaptive Multimedia Retrieval. Context, Exploration, and Fusion: 8^th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010, Revised Selected Papers”, 8^th International Workshop on Adaptive Multimedia Retrieval, AMR 2010, vol. 6817, Lecture Notes in Computer Science, Linz, Austria, pp. 221, (Springer), (ISBN: 978-3-642-27169-4) (2012)
  • M. Detyniecki, B. Moubêche, B. Bouchon‑Meunier : “On the paradoxical success of Mamdani’s minimum-based inference”, chapter in Combining Experimentation and Theory: A Hommage to Abe Mamdani, vol. 271, Studies in Fuzziness and Soft Computing, pp. 259-270, (Springer) (2012)
• 2011
  • Th. Bärecke, B. Bouchon‑Meunier, M. Detyniecki : “Fuzzy Present Value”, IEEE Symposium on Computational Intelligence for Financial Engineering & Economics (IEEE CIFEr), Paris, France, pp. 75-80, (IEEE) (2011)
  • M. Detyniecki, Ch. Marsala, M. Rifqi : “Double-linear fuzzy interpolation method”, IEEE International Conference on Fuzzy Systems FUZZIEEE'2011, Taipei, Taiwan, Province of China, pp. 455-462 (2011)
  • M. Detyniecki, A. García‑Serrano, A. Nürnberger : “Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User”, vol. 6535, Lecture Notes in Computer Science, pp. 159, (Springer), (ISBN: 978-3-642-18448-2) (2011)
  • Th. Bärecke, Ch. Mansilla, S. Avril, B. Bouchon‑Meunier, M. Detyniecki, F. Werkoff : “Fuzzy sets for assessing the profitability of hydrogen production by the sulphur-iodine thermochemical cycle”, International journal of energy, environment, economics, vol. 19 (1-2), pp. 119-132, (Nova Science Publishers) (2011)
  • Th. Bärecke, M. Bendris, M. CAMPEDEL, M. Detyniecki, D. Marraud : “Traitement des modalités image et vidéo”, chapitre de Sémantique et multimodalité en analyse de l'information, pp. 97-142, (Hermes) (2011)
• 2010
  • Z. Gao, M.‑Y. Chen, M. Detyniecki, W. Wu, A. Hauptmann, H. Wactlar, A. Cai : “Multi-Camera Monitoring of Infusion Pump Use”, Proceedings of the Fourth IEEE International Conference on Semantic Computing - IEEE ICSC 2010, Pittsburgh, PA, United States, pp. 105-111, (IEEE) (2010)
  • H. Feng, M.‑J. Lesot, M. Detyniecki : “Using association rules to discover color-emotion relationships based on social tagging”, Proc. of the 14^th Int. Conf. on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2010, vol. 6276, LNAI, Cardiff, United Kingdom, pp. 544-553, (Springer) (2010)
  • Z. Gao, M. Detyniecki, M.‑Y. Chen, W. Wu, A. Hauptmann, H. Wactlar : “Towards Automated Assistance for Operating Home Medical Devices”, Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC'10), Buenos Aires, Argentina, pp. 2141-2146, (IEEE) (2010)
  • Z. Gao, M. Detyniecki, M.‑Y. Chen, W. Wu, A. Hauptmann, H. Wactlar : “Towards Automated Assistance for Operating Home Medical Devices”, International Symposium on Quality of Life Technology (QoLT'10), Las Vegas, AZ, United States (2010)
  • H. Feng, M.‑J. Lesot, M. Detyniecki : “Associating color with emotions based on social tagging”, Proceedings of the International Conference on Kansei Engineering and Emotion Research (KEER'2010), Paris, France (2010)
  • M.‑J. Lesot, C. Bouchard, M. Detyniecki, J.‑F. Omhover : “Product shape and emotional design: an application to perfume bottles”, Proceedings of the International Conference on Kansei Engineering and Emotion Research (KEER'2010), Paris, France (2010)
  • M. Detyniecki, U. Leiner, A. Nürnberger : “Adaptive Multimedia Retrieval: Identifying, Summarizing, and Recommending Image and Music”, vol. 5811, Lecture Notes in Computer Science, pp. 185, (Springer), (ISBN: 978-3-642-14757-9) (2010)
  • S. Tollari, M. Detyniecki, A. Fakeri‑Tabrizi, Ch. Marsala, M.‑R. Amini, P. Gallinari : “Exploitation du contenu visuel pour améliorer la recherche textuelle d’images en ligne”, Document numérique - Revue des sciences et technologies de l'information. Série Document numérique, vol. 13 (1), pp. 187-209, (Hermès) (2010)
  • Ch. Marsala, M. Detyniecki : “High Scale Fuzzy Video Mining”, chapter in Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, pp. 365-378, (IGI Global), (ISBN: 9781605668581) (2010)
  • Z. Gao, M. Detyniecki, M.‑Y. Chen, A. Hauptmann, H. Wactlar, A. Cai : “The Application of Spatio-temporal Feature and Multi-Sensor in Home Medical Devices”, International Journal of Digital Content Technology and its Applications, vol. 4 (7), pp. 69-78 (2010)
• 2009
  • S. Tollari, Ph. Mulhem, M. Ferecatu, H. Glotin, M. Detyniecki, P. Gallinari, H. Sahbi, Zh. Zhao : “A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches”, Evaluating Systems for Multilingual and Multimodal Information Access, vol. 5706, Lecture Notes in Computer Science, Aarhus, Denmark, pp. 585-592, (Springer) (2009)
  • S. Tollari, M. Detyniecki, A. Fakeri‑Tabrizi, Ch. Marsala, M.‑R. Amini, P. Gallinari : “Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval”, 9^th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Revised Selected Papers, vol. 5706, Lecture Notes in Computer Science, Aarhus, Denmark, pp. 577-584, (Springer Berlin / Heidelberg) (2009)
  • S. Tollari, M. Detyniecki, A. Fakeri‑Tabrizi, Ch. Marsala, M.‑R. Amini, P. Gallinari : “Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d’images”, Actes de Conférence en Recherche d'Informations et Applications (CORIA'09), Toulon, France, pp. 83-98 (2009)
  • S. Tollari, M. Detyniecki, Ch. Marsala, A. Fakeri‑Tabrizi, M.‑R. Amini, P. Gallinari : “Exploiting Visual Concepts to Improve Text-Based Image Retrieval”, European Conference on Information Retrieval (ECIR), vol. 5478, Lecture Notes in Computer Science, Toulouse, France, pp. 701-705, (Springer) (2009)
  • B. Ruf, M. Detyniecki : “Identifying Paintings in Museum Galleries using Camera Mobile Phones”, Singaporean French IPAL Symposium - SinFra'09, Singapore, Singapore, (World Scientific) (2009)
  • M.‑J. Lesot, M. Rifqi, M. Detyniecki : “Comparaison de distances et noyaux classiques par degré d’équivalence des ordres induits”, Journées Francophones Extraction et Gestion des Connaissances, EGC'09, vol. RNTI-E-15, Revue des Nouvelles Technologies de l'Information, Strasbourg, France, pp. 55-60 (2009)
• 2008
  • Ch. Marsala, M. Detyniecki : “UPMC-LIP6 at TrecVid’08: Balanced and Unbalanced Forests of Fuzzy Decision Trees for High-Level Feature Detection”, TRECVID 2008 workshop participants notebook papers, Gaithersburg, MD, United States, (NIST) (2008)
  • M. Detyniecki, Ch. Marsala : “Adaptive Acceleration and Shot Stacking for Video Rushes Summarization”, Proceedings of the 2^nd ACM TRECVid Video Summarization Workshop (TVS '08), Vancouver, Canada, pp. 109-113, (ACM) (2008)
  • Ch. Marsala, M. Detyniecki : “High Scale Video Mining with Forests of Fuzzy Decision Trees”, Proceedings of the 5^th international conference on Soft computing as transdisciplinary science and technology (CSTST'08), Cergy-Pontoise, France, pp. 413-418, (ACM) (2008)
  • S. Tollari, M. Detyniecki, A. Fakeri‑Tabrizi, M.‑R. Amini, P. Gallinari : “UPMC/LIP6 at ImageCLEFphoto 2008: on the exploitation of visual concepts (VCDT)”, QUAERO/ImageCLEF Workshop on Multimedia Information Retrieval Evaluation, Aarhus, Denmark, pp. 1-10 (2008)
  • S. Tollari, M. Detyniecki, M. Ferecatu, H. Glotin, Ph. Mulhem, M.‑R. Amini, A. Fakeri‑Tabrizi, P. Gallinari, H. Sahbi, Zh. Zhao : “Consortium AVEIR at ImageCLEFphoto 2008: on the fusion of runs”, Working Notes for the CLEF 2008 workshop, vol. 1174, CEUR-WS, Aarhus, Denmark, (CEUR) (2008)
  • B. Ruf, E. Kokiopoulou, M. Detyniecki : “Mobile museum guide based on fast SIFT recognition”, International workshop on Adaptive Multimedia Retrieval, vol. 5811, Lecture Notes in Computer Science, Berlin, Germany, pp. 170-183, (Springer) (2008)
  • M. Rifqi, M.‑J. Lesot, M. Detyniecki : “Fuzzy order-equivalence for similarity measures”, 27^th North American Fuzzy Information Processing Society Annual Meeting, NAFIPS 2008, New York, United States, pp. 1-6, (IEEE) (2008)
  • M. Detyniecki, Ch. Marsala : “Automatic Video Annotation with Forests of Fuzzy Decision Trees”, Mathware & soft computing, vol. 15 (1), pp. 61-74, (RACO) (2008)
  • Th. Bärecke, E. Kijak, M. Detyniecki, A. Nürnberger : “Organizing Multimedia Information with Maps”, chapter in Recent Advances in Computational Intelligence in Multimedia Processing, vol. 96, Studies in Computational Intelligence, pp. 493-509, (Springer) (2008)
• 2007
  • Ch. Marsala, M. Detyniecki, N. Usunier, M.‑R. Amini : “High-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost”, TRECVID 2007 workshop participants notebook papers, Gaithersburg, MD, United States, (NIST) (2007)
  • M. Detyniecki, Ch. Marsala : “Forest of Fuzzy Decision Trees and their Application in Video Mining”, 5^th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT'07), Ostrava, Czechia, pp. 345-352 (2007)
  • Th. Bärecke, M. Detyniecki : “Memetic algorithms for inexact graph matching”, CEC: IEEE Congress on Evolutionary Computation, Singapore, Singapore, pp. 4238-4245, (IEEE) (2007)
  • M. Detyniecki, Ch. Marsala : “Video rushes summarization by adaptive acceleration and stacking of shots”, Proceedings of the 1^st ACM Workshop on Video Summarization - TVS 2007 (part of ACM Multimedia'07), Augsburg, Germany, pp. 65-69, (ACM) (2007)
  • Th. Bärecke, M. Detyniecki : “Combining exhaustive and approximage methods for improved sub-graph matching”, Advances in Pattern Recognition - IWAPR Workshop, Plymouth, United Kingdom (2007)
  • Th. Bärecke, M. Detyniecki, S. Berretti, A. Del Bimbo : “Genetic approximate matching of attributed relational graphs”, Pascal workshop on Learning from and with Graphs, Alicante, Spain (2007)
  • Ch. Hentschel, S. Stober, A. Nürnberger, M. Detyniecki : “Automatic Image Annotation using a Visual Dictionary based on reliable Image Segmentation”, Proceedings of the International Workshop on Adaptive Multimedia Retrieval - AMR'2007, vol. 4918, Lecture Notes in Computer Science, Paris, France, pp. 45-56, (Springer) (2007)
  • B. Bouchon‑Meunier, M. Detyniecki, M.‑J. Lesot, Ch. Marsala, M. Rifqi : “Real world fuzzy logic applications in data mining and information retrieval”, chapter in Fuzzy Logic - A Spectrum of Theoretical and Practical Issues, vol. 215, Studies in Fuzziness and Soft Computing, pp. 219-247, (Springer), (ISBN: 978-3540712572) (2007)
• 2006
  • M. Detyniecki : “Fusion et Fouille de données Multimédia”, habilitation à diriger des recherches, soutenance 15/05/2006, co-encadrement : Gallinari, Patrick (2006)
  • Th. Bärecke, Ch. Mansilla, S. Avril, B. Bouchon‑Meunier, M. Detyniecki, F. Werkoff : “On the use of genetic algorithms and fuzzy logics for the assessment of the cost of the hydrogen to be produced by advanced processes”, Fuel Cell Seminar, Honolulu, Hawaii, United States (2006)
  • Th. Bärecke, E. Kijak, A. Nürnberger, M. Detyniecki : “Using Self-Organizing Maps to Support Video Navigation”, Proc. of 16^th Intl. Conf. on Artificial Neural Networks (ICANN 2006), vol. 4131, Lecture Notes in Computer Science, Athens, Greece, pp. 396-405, (Springer) (2006)
  • A. Nürnberger, M. Detyniecki : “Externally Growing Self-Organizing Maps and Its Application to E-mail Database Visualization and Exploration”, Applied Soft Computing, vol. 6 (4), pp. 357-371, (Elsevier) (2006)
  • Th. Bärecke, E. Kijak, A. Nürnberger, M. Detyniecki : “Summarizing Video Information using Self-Organizing Maps”, IEEE International Conference on Fuzzy Systems - FUZZ-IEEE, Vancouver, Canada, pp. 540-546, (IEEE) (2006)
  • Th. Bärecke, E. Kijak, A. Nürnberger, M. Detyniecki : “Video Navigation based on Self-Organizing Maps”, Proc. of the International Conference on Image and Video Retrieval (CIVR), vol. 4071, Lecture Notes in Computer Science, Tempa, Arizona, United States, pp. 340-349, (Springer) (2006)
  • Th. Bärecke, E. Kijak, A. Nürnberger, M. Detyniecki : “VideoSOM: A SOM-based Interface for Video Browsing”, Proc. of the International Conference on Image and Video Retrieval (CIVR), vol. 4071, Lecture Notes in Computer Science, Tempa, Arizona, United States, pp. 506-509, (Springer) (2006)
  • J.‑F. Omhover, M. Detyniecki : “Fast gradual matching measure for image retrieval based on visual similarity and spatial relations”, International Journal of Intelligent Systems, vol. 21 (7), pp. 711-723, (Wiley) (2006)
  • Ch. Marsala, M. Detyniecki : “University of Paris 6 at TRECVID 2006: Forest of Fuzzy Decision Trees for High-Level Feature Extraction”, TREC Video Retrieval Evaluation, Gaithersburg, United States (2006)
  • M. Detyniecki, J. Jose, A. Nürnberger, K. Van Rijsbergen : “Adaptive Multimedia Retrieval: User, Context, and Feedback: Third International Workshop, AMR 2005, Glasgow, UK, July 28-29, 2005, Revised Selected Papers”, AMR 2005 - Third International Workshop on Adaptive Multimedia Retrieval, vol. 3877, Lecture Notes in Computer Science, Glasgow, United Kingdom, pp. 284, (Springer-Verlag), (ISBN: 978-3-540-32174-3) (2006)
  • J.‑F. Omhover, M. Rifqi, M. Detyniecki : “Ranking Invariance Based on Similarity Measures in Document Retrieval”, Adaptive Multimedia Retrieval: User, Context, and Feedback, AMR'05, vol. 3877, Lecture Notes in Computer Science, Glasgow, United Kingdom, pp. 55-64 (2006)
  • J.‑F. Omhover, M. Detyniecki : “Image retrieval by composition of regions”, chapter in Modern Information Processing: From Theory to Applications, pp. 429-440, (Elsevier), (ISBN: 978-0444520753) (2006)
  • M. Detyniecki, A. Nürnberger : “Intelligent Multimedia Retrieval”, International Journal of Intelligent Systems (IJIS), vol. 21, pp. 145 (2006)
• 2005
  • Ch. Marsala, M. Detyniecki : “University of Paris 6 at TRECVID 2005: High-Level Feature Extraction”, TRECVID 2005 workshop participants notebook papers, Gaithersburg, MD, United States, (NIST) (2005)
  • M. Detyniecki, J. Jose, A. Nürnberger : “Adaptive Multimedia Mining”, IJCAI 2005 - 19^th International Joint Conferences on Artificial Intelligence, Edinburgh, Scotland, United Kingdom (2005)
  • M. Detyniecki : “Multimedia Mining: the text is not enough”, GfKl'2005 - 29^th Annual Conference of the German Classification Society, Magdeburg, Germany (2005)
  • M. Detyniecki, A. Nürnberger : “Adaptive Multimedia Retrieval: From Data to User Interaction”, chapter in Do smart adaptive systems exist? - Best practice for selection and combination of intelligent methods, vol. 173, Studies in Fuzziness and Soft Computing, pp. 341-370, (Springer), (ISBN: 978-3-540-24077-8) (2005)
• 2004
  • J.‑F. Omhover, M. Detyniecki : “Combining Text and Image Retrieval”, EUROFUSE Workshop on Data and Knowledge Engineering, Warsaw, Poland, pp. 388-398 (2004)
  • J.‑F. Omhover, M. Detyniecki : “Image retrieval by Regional content using Matrix Composition of Fuzzy Relations”, International Workshop on Adaptive Multimedia Retrieval - AMR'2004 (part of ECAI'2004), Valencia, Spain, pp. 103-113 (2004)
  • J.‑F. Omhover, M. Detyniecki, B. Bouchon‑Meunier : “A Region-Similarity-Based Image Retrieval System”, IPMU 2004 - 10^th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, Perugia, Italy, pp. 1461-1468 (2004)
  • J.‑F. Omhover, M. Detyniecki : “STRICT: an Image Retrieval Platform for Queries Based on Regional Content”, CIVR 2004 - 3^rd International Conference on Image and Video Retrieval, vol. 3115, Lecture Notes in Computer Science, Dublin, Ireland, pp. 473-482, (Springer) (2004)
  • J.‑F. Omhover, M. Detyniecki : “Queries by visual content using fuzzy similarity measures on regional descriptions”, European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems - EUNITE'2004, Jena, Germany, pp. 43-44 (2004)
  • J.‑F. Omhover, M. Detyniecki, M. Rifqi, B. Bouchon‑Meunier : “Ranking invariance between fuzzy similarity measures applied to image retrieval”, IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2004, Budapest, Hungary, pp. 1367-1372 (2004)
  • F. Esteva, M. Rifqi, B. Bouchon‑Meunier, M. Detyniecki : “Similarity-based fuzzy interpolation method”, International conference on Information Processing and Management of Uncertainty in knowledge-based systems, IPMU 2004, Perugia, Italy, pp. 1443-1449 (2004)
  • M. Detyniecki, A. Nürnberger : “Adaptive Multimedia Retrieval”, vol. 3094, Lecture Notes in Computer Science, pp. 229, (Springer) (2004)
• 2003
  • Ch. Marsala, M. Detyniecki : “Fuzzy Data Mining for Video”, EUSFLAT'03 - 3^rd Conference of the European Society for Fuzzy Logic and Technology, Zittau, Germany, pp. 73-78 (2003)
  • A. Nürnberger, M. Detyniecki : “Weighted Self-Organizing Maps: Incorporating User Feedback”, ICANN 2003 - International Conference on Artificial Neural Networks, vol. 2714, Lecture Notes in Computer Science, Istanbul, Turkey, pp. 883-890, (Springer) (2003)
  • M. Rifqi, M. Detyniecki, B. Bouchon‑Meunier : “Discrimination power of measures of resemblance”, 10^th International Fuzzy Systems Association World Congress, IFSA 2003, Istanbul, Turkey (2003)
• 2002
  • M. Detyniecki, Ch. Marsala : “Fuzzy Multimedia Mining Applied to Video News”, 9^th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'02), Annecy, France, pp. 1001-1008 (2002)
  • A. Nürnberger, M. Detyniecki : “Visualizing Changes in Data Collections Using Growing Self-Organizing.”, IJCNN'2002 - International Joint Conference on Neural Networks, Honolulu, HI, United States, pp. 1912-1917, (IEEE) (2002)
• 2001
  • A. Nürnberger, M. Detyniecki : “Content Based Analysis of Email Databases Using Self-Organizing Maps”, EUNITE'2001 - European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems, Tenerife, Spain, pp. 134-142 (2001)
  • Ronald R. Yager, M. Detyniecki, B. Bouchon‑Meunier : “A Context Dependent Method for Ordering Fuzzy Numbers Using Probabilities”, Information Sciences, vol. 138 (1-4), pp. 237-255, (Elsevier) (2001)
  • M. Detyniecki, Ch. Marsala : “Fuzzy Inductive Learning for Multimedia Mining”, EUSFLAT'2001 - 2^nd International Conference in Fuzzy Logic and Technology, Leicester, United Kingdom, pp. 390-393 (2001)
  • M. Detyniecki : “Accelerating Imprecise Temporal Queries for Video Navigation”, International Workshop on Fuzzy logic and the Internet, FLINT'2001, Berkeley, United States, pp. 131-135 (2001)
  • M. Detyniecki : “Numerical Aggregation Operators: State of the Art”, International Summer School on Aggregation Operators and their Applications, Asturias, Spain (2001)
• 2000
  • M. Detyniecki : “Méthodes d’agrégation pour la fouille de données / Mathematical Aggregation Operators and their Application to Video Querying”, thèse, soutenance 24/11/2000, direction de recherche Bouchon-meunier, Bernadette, co-encadrement : Yager, R. R. (2000)
  • M. Detyniecki : “Browsing a Video with Simple Constrained Queries over Fuzzy Annotations”, FQAS 2000 - International Conference on Flexible Query Answering Systems, vol. 7, Advances in Soft Computing, Warsaw, Poland, pp. 282-287, (Physica Verlag) (2000)
  • M. Detyniecki, Ronald R. Yager : “Ranking fuzzy numbers using alpha-weighted valuations”, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 8 (5), pp. 573-591, (World Scientific Publishing) (2000)
  • M. Detyniecki, B. Bouchon‑Meunier : “Aggregating truth and falsity values”, FUSION 2000 - 3^rd International Conference on Information Fusion, Paris, France, pp. 18-24, (IEEE) (2000)
  • M. Detyniecki, B. Bouchon‑Meunier : “Building an Aggregation Operator with a Balance”, Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Madrid, Spain, pp. 686-692 (2000)
  • M. Detyniecki, Ronald R. Yager, B. Bouchon‑Meunier : “Reducing t-norms and augmenting t-conorms”, Mathware & soft computing, vol. 7 (1), pp. 77-87, (RACO) (2000)
• 1999
  • M. Detyniecki, C. Seyrat, Ronald R. Yager : “Interacting with Web Video Objetcts”, 18^th International Conference of the North American Fuzzy Information Society, New York, United States, pp. 914-917, (IEEE) (1999)
  • M. Detyniecki, B. Bouchon‑Meunier, Ronald R. Yager : “Balance Operator: A new vision on Aggregation Operators”, Second International Conference on Soft and Intelligent Computing - EUROFUSE'99, Budapest, Hungary, pp. 241-246 (1999)