Marcin Detyniecki

170 papers A* 5A 4B 18C 6Journal 65Unranked 60

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Adversarial QA for Improving Domain-Specific LLMs. CoRR Vincent Grari, Ciprian Tomoiaga, Sylvain Lamprier, Tatsunori Hashimoto, Marcin Detyniecki
2026	J	`jnl`	Alignment Reduces Expressed but Not Encoded Gender Bias: A Unified Framework and Study. CoRR Nour Bouchouchi, Thibault Laugel, Xavier Renard, Christophe Marsala, Marie-Jeanne Lesot, Marcin Detyniecki
2026	—	`conf`	Energy Consumption Analysis of Discrete Diffusion and Autoregressive Language Models. GreenSys Boris Ruf, Marcin Detyniecki
2026	J	`jnl`	Geometrically Constrained Outlier Synthesis. CoRR Daniil Karzanov, Marcin Detyniecki
2025	J	`jnl`	ACT: Agentic Classification Tree. CoRR Vincent Grari, Tim Arni, Thibault Laugel, Sylvain Lamprier, James Zou, Marcin Detyniecki
2025	J	`jnl`	Controlled Model Debiasing through Minimal and Interpretable Updates. CoRR Federico Di Gennaro, Thibault Laugel, Vincent Grari, Marcin Detyniecki
2025	J	`jnl`	Controlled Model Debiasing through Minimal and Interpretable Updates. Trans. Mach. Learn. Res. Federico Di Gennaro, Thibault Laugel, Vincent Grari, Marcin Detyniecki
2025	J	`jnl`	Energy Scaling Laws for Diffusion Models: Quantifying Compute and Carbon Emissions in Image Generation. CoRR Aniketh Iyengar, Jiaqi Han, Boris Ruf, Vincent Grari, Marcin Detyniecki, Stefano Ermon
2025	J	`jnl`	Metric assessment protocol in the context of answer fluctuation on MCQ tasks. CoRR Ekaterina Goliakova, Xavier Renard, Marie-Jeanne Lesot, Thibault Laugel, Christophe Marsala, Marcin Detyniecki
2025	J	`jnl`	Mitigating the Carbon Footprint of Chatbots as Consumers. CoRR Boris Ruf, Marcin Detyniecki
2025	—	`conf`	Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards. ICAIF Daniil Karzanov, Rubén Garzón, Mikhail Terekhov, Caglar Gulcehre, Thomas Raffinot, Marcin Detyniecki
2025	J	`jnl`	Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards. CoRR Daniil Karzanov, Rubén Garzón, Mikhail Terekhov, Caglar Gulcehre, Thomas Raffinot, Marcin Detyniecki
2025	—	`conf`	SAKE: Steering Activations for Knowledge Editing. ACL (1) Marco Scialanga, Thibault Laugel, Vincent Grari, Marcin Detyniecki
2025	J	`jnl`	SAKE: Steering Activations for Knowledge Editing. CoRR Marco Scialanga, Thibault Laugel, Vincent Grari, Marcin Detyniecki
2025	—	`conf`	Self-supervised Change Detection via Cooperative Learning: A Two-Player Model. JURSE Manon Béchaz, Emanuele Dalsasso, Ciprian Tomoiaga, Marcin Detyniecki, Devis Tuia
2025	—	`conf`	When Mitigating Bias is Unfair: Multiplicity and Arbitrariness in Algorithmic Group Fairness. SaTML Natasa Krco, Thibault Laugel, Vincent Grari, Jean-Michel Loubes, Marcin Detyniecki
2024	A*	`conf`	On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. ICLR Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
2024	J	`jnl`	OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning. CoRR Vincent Grari, Marcin Detyniecki
2024	J	`jnl`	Post-processing fairness with minimal changes. CoRR Federico Di Gennaro, Thibault Laugel, Vincent Grari, Xavier Renard, Marcin Detyniecki
2024	J	`jnl`	The "Huh?" Button: Improving Understanding in Educational Videos with Large Language Models. CoRR Boris Ruf, Marcin Detyniecki
2024	C	`conf`	The ≪Huh?≫ Button: Improving Understanding in Educational Videos with Large Language Models. ISM Boris Ruf, Marcin Detyniecki
2024	J	`jnl`	Understanding prediction discrepancies in classification. Mach. Learn. Xavier Renard, Thibault Laugel, Marcin Detyniecki
2024	J	`jnl`	Why do explanations fail? A typology and discussion on failures in XAI. CoRR Clara Bove, Thibault Laugel, Marie-Jeanne Lesot, Charles Tijus, Marcin Detyniecki
2023	J	`jnl`	A general framework for personalising post hoc explanations through user knowledge integration. Int. J. Approx. Reason. Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2023	—	`conf`	Achieving Diversity in Counterfactual Explanations: a Review and Discussion. FAccT Thibault Laugel, Adulam Jeyasothy, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2023	J	`jnl`	Achieving Diversity in Counterfactual Explanations: a Review and Discussion. CoRR Thibault Laugel, Adulam Jeyasothy, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2023	J	`jnl`	Adversarial learning for counterfactual fairness. Mach. Learn. Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
2023	J	`jnl`	Applications and Services Using Vehicular Exteroceptive Sensors: A Survey. IEEE Trans. Intell. Veh. Fernando Molano Ortiz, Matteo Sammarco, Luís Henrique M. K. Costa, Marcin Detyniecki
2023	C	`conf`	Improving Few-Shot Object Detection with Object Part Proposals. IGARSS Arthur Chevalley, Ciprian Tomoiaga, Marcin Detyniecki, Marc Rußwurm, Devis Tuia
2023	A	`conf`	Investigating the Intelligibility of Plural Counterfactual Examples for Non-Expert Users: an Explanation User Interface Proposition and User Study. IUI Clara Bove, Marie-Jeanne Lesot, Charles Albert Tijus, Marcin Detyniecki
2023	J	`jnl`	On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. CoRR Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
2023	—	`conf`	Open and Linked Data Model for Carbon Footprint Scenarios. ICAIT Boris Ruf, Marcin Detyniecki
2023	J	`jnl`	Open and Linked Data Model for Carbon Footprint Scenarios. CoRR Boris Ruf, Marcin Detyniecki
2023	J	`jnl`	Tamper-proof access control for IoT clouds using enclaves. Ad Hoc Networks Guilherme A. Thomaz, Matheus B. Guerra, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista
2023	J	`jnl`	When Mitigating Bias is Unfair: A Comprehensive Study on the Impact of Bias Mitigation Algorithms. CoRR Natasa Krco, Thibault Laugel, Jean-Michel Loubes, Marcin Detyniecki
2022	—	`conf`	A Tool Bundle for AI Fairness in Practice. CHI Extended Abstracts Boris Ruf, Marcin Detyniecki
2022	J	`jnl`	A fair pricing model via adversarial learning. CoRR Vincent Grari, Arthur Charpentier, Sylvain Lamprier, Marcin Detyniecki
2022	A	`conf`	Contextualization and Exploration of Local Feature Importance Explanations to Improve Understanding and Satisfaction of Non-Expert Users. IUI Clara Bove, Jonathan Aigrain, Marie-Jeanne Lesot, Charles Tijus, Marcin Detyniecki
2022	A*	`conf`	Fairness without the Sensitive Attribute via Causal Variational Autoencoder. IJCAI Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
2022	J	`jnl`	Graph Matching with Distance-Preserving Crossover. Complex Syst. Thomas Bärecke, Marcin Detyniecki
2022	—	`conf`	Integrating Prior Knowledge in Post-hoc Explanations. IPMU (2) Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2022	J	`jnl`	Integrating Prior Knowledge in Post-hoc Explanations. CoRR Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2022	—	`conf`	Intégration de connaissances dans les méthodes d'explications post-hoc. LFA Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2022	—	`conf`	On the Granularity of Explanations in Model Agnostic NLP Interpretability. PKDD/ECML Workshops (1) Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
2022	—	`conf`	Super Learner Ensemble for Sound Classification using Spectral Features. LATINCOM Luana Gantert, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista
2022	J	`jnl`	Towards drivers' safety with multi-criteria car navigation systems. Future Gener. Comput. Syst. Leonardo Solé, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista
2021	—	`conf`	A Supervised Approach for Corrective Maintenance Using Spectral Features from Industrial Sounds. WF-IoT Luana Gantert, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista
2021	—	`conf`	Análise do Aprendizado Federado em Redes Móveis. SBRC Kaylani Bochie, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista
2021	—	`conf`	Building Trust in Artificial Conversational Agents. IUI Workshops Clara Bove, Jonathan Aigrain, Marcin Detyniecki
2021	—	`conf`	Contextualising local explanations for non-expert users: an XAI pricing interface for insurance. IUI Workshops Clara Bove, Jonathan Aigrain, Marie-Jeanne Lesot, Charles Tijus, Marcin Detyniecki
2021	—	`conf`	Enforcing Individual Fairness via Rényi Variational Inference. ICONIP (5) Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki
2021	J	`jnl`	Explaining how your AI system is fair. CoRR Boris Ruf, Marcin Detyniecki
2021	J	`jnl`	Fairness without the sensitive attribute via Causal Variational Autoencoder. CoRR Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
2021	—	`conf`	How to Choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice. PKDD/ECML Workshops (1) Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki
2021	J	`jnl`	How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice. CoRR Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki
2021	J	`jnl`	Implementing Fair Regression In The Real World. CoRR Boris Ruf, Marcin Detyniecki
2021	—	`ch.`	Interpolative Reasoning: Valid, Specificity-Gradual and Similarity-Based. Fuzzy Approaches for Soft Computing and Approximate Reasoning Marcin Detyniecki
2021	—	`conf`	Learning Unbiased Representations via Rényi Minimization. ECML/PKDD (2) Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki
2021	J	`jnl`	On the overlooked issue of defining explanation objectives for local-surrogate explainers. CoRR Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
2021	J	`jnl`	Towards the Right Kind of Fairness in AI. CoRR Boris Ruf, Marcin Detyniecki
2021	J	`jnl`	Understanding Prediction Discrepancies in Machine Learning Classifiers. CoRR Xavier Renard, Thibault Laugel, Marcin Detyniecki
2021	J	`jnl`	Understanding surrogate explanations: the interplay between complexity, fidelity and coverage. CoRR Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
2020	J	`jnl`	Achieving Fairness with Decision Trees: An Adversarial Approach. Data Sci. Eng. Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
2020	J	`jnl`	Active Fairness Instead of Unawareness. CoRR Boris Ruf, Marcin Detyniecki
2020	J	`jnl`	Adversarial Learning for Counterfactual Fairness. CoRR Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
2020	A*	`conf`	Fairness-Aware Neural Rényi Minimization for Continuous Features. IJCAI Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
2020	J	`jnl`	Getting Fairness Right: Towards a Toolbox for Practitioners. CoRR Boris Ruf, Chaouki Boutharouite, Marcin Detyniecki
2020	J	`jnl`	Learning Unbiased Representations via Rényi Minimization. CoRR Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki
2020	J	`jnl`	QUACKIE: A NLP Classification Task With Ground Truth Explanations. CoRR Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
2020	J	`jnl`	Sentence-Based Model Agnostic NLP Interpretability. CoRR Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
2020	J	`jnl`	Vehicle Telematics Via Exteroceptive Sensors: A Survey. CoRR Fernando Molano Ortiz, Matteo Sammarco, Luís Henrique M. K. Costa, Marcin Detyniecki
2019	J	`jnl`	Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees. CoRR Xavier Renard, Nicolas Woloszko, Jonathan Aigrain, Marcin Detyniecki
2019	B	`conf`	Contract Statements Knowledge Service for Chatbots. SMC Boris Ruf, Matteo Sammarco, Marcin Detyniecki
2019	J	`jnl`	Contract Statements Knowledge Service for Chatbots. CoRR Boris Ruf, Matteo Sammarco, Marcin Detyniecki
2019	J	`jnl`	Detecting Adversarial Examples and Other Misclassifications in Neural Networks by Introspection. CoRR Jonathan Aigrain, Marcin Detyniecki
2019	A*	`conf`	Fair Adversarial Gradient Tree Boosting. ICDM Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
2019	J	`jnl`	Fair Adversarial Gradient Tree Boosting. CoRR Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
2019	J	`jnl`	Fairness-Aware Neural Réyni Minimization for Continuous Features. CoRR Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
2019	J	`jnl`	Imperceptible Adversarial Attacks on Tabular Data. CoRR Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki
2019	J	`jnl`	Issues with post-hoc counterfactual explanations: a discussion. CoRR Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2019	A*	`conf`	The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. IJCAI Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
2019	J	`jnl`	The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. CoRR Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
2019	—	`conf`	Unjustified Classification Regions and Counterfactual Explanations in Machine Learning. ECML/PKDD (2) Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
2019	—	`conf`	Unsupervised Detection of Adversarial Collaboration in Data-Driven Networking. NOF Matteo Sammarco, Miguel Elias Mitre Campista, Marcin Detyniecki, Tahiry Razafindralambo, Marcelo Dias de Amorim
2018	—	`conf`	Car Accident Detection and Reconstruction Through Sound Analysis with Crashzam. SMARTGREENS/VEHITS (Selected Papers) Matteo Sammarco, Marcin Detyniecki
2018	—	`conf`	Comparison-Based Inverse Classification for Interpretability in Machine Learning. IPMU (1) Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
2018	C	`conf`	Crashzam: Sound-based Car Crash Detection. VEHITS Matteo Sammarco, Marcin Detyniecki
2018	J	`jnl`	Defining Locality for Surrogates in Post-hoc Interpretablity. CoRR Thibault Laugel, Xavier Renard, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2018	—	`conf`	Detecting Potential Local Adversarial Examples for Human-Interpretable Defense. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2018	J	`jnl`	Detecting Potential Local Adversarial Examples for Human-Interpretable Defense. CoRR Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
2018	J	`jnl`	Multimodal Stress Detection from Multiple Assessments. IEEE Trans. Affect. Comput. Jonathan Aigrain, Michel Spodenkiewicz, Séverine Dubuisson, Marcin Detyniecki, David Cohen, Mohamed Chetouani
2017	A	`conf`	Dimensions for Automatic Interpretation of Approximate Numerical Expressions: An empirical study. IUI Sébastien Lefort, Elisabetta Zibetti, Marie-Jeanne Lesot, Marcin Detyniecki, Charles Tijus
2017	B	`conf`	Droplet Ensemble Learning on Drifting Data Streams. IDA Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki
2017	B	`conf`	How arithmetically fuzzy are we? An empirical comparison of human imprecise calculation and fuzzy arithmetic. FUZZ-IEEE Sébastien Lefort, Marie-Jeanne Lesot, Elisabetta Zibetti, Charles Tijus, Marcin Detyniecki
2017	J	`jnl`	Interpretation of approximate numerical expressions: Computational model and empirical study. Int. J. Approx. Reason. Sébastien Lefort, Marie-Jeanne Lesot, Elisabetta Zibetti, Charles Tijus, Marcin Detyniecki
2017	J	`jnl`	Inverse Classification for Comparison-based Interpretability in Machine Learning. CoRR Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
2016	—	`conf`	How Much Is "About"? Fuzzy Interpretation of Approximate Numerical Expressions. IPMU (1) Sébastien Lefort, Marie-Jeanne Lesot, Elisabetta Zibetti, Charles Tijus, Marcin Detyniecki
2016	—	`conf`	Improving the Prediction Cost of Drift Handling Algorithms by Abstaining. ICDM Workshops Pierre-Xavier Loeffel, Vincent Lemaire, Christophe Marsala, Marcin Detyniecki
2016	—	`conf`	La révolution de l'assurance par la donnée : défis scientifiques de l'extraction à la gestion de connaissances. EGC Marcin Detyniecki
2016	B	`conf`	Memory management for data streams subject to concept drift. ESANN Pierre-Xavier Loeffel, Christophe Marsala, Marcin Detyniecki
2016	B	`conf`	On leveraging crowdsourced data for automatic perceived stress detection. ICMI Jonathan Aigrain, Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson, Marcin Detyniecki, Mohamed Chetouani
2016	B	`conf`	Transformation-based constraint-guided Generalised Modus Ponens. FUZZ-IEEE Michaël Blot, Marie-Jeanne Lesot, Marcin Detyniecki
2015	B	`conf`	Classification with a reject option under Concept Drift: The Droplets algorithm. DSAA Pierre-Xavier Loeffel, Christophe Marsala, Marcin Detyniecki
2015	B	`conf`	Fast community structure local uncovering by independent vertex-centred process. ASONAM Maël Canu, Marcin Detyniecki, Marie-Jeanne Lesot, Adrien Revault d'Allonnes
2015	J	`jnl`	Fast community structure local uncovering by independent vertex-centred process. CoRR Maël Canu, Marcin Detyniecki, Marie-Jeanne Lesot, Adrien Revault d'Allonnes
2015	B	`conf`	Person-specific behavioural features for automatic stress detection. FG Jonathan Aigrain, Séverine Dubuisson, Marcin Detyniecki, Mohamed Chetouani
2015	B	`conf`	Random-shapelet: An algorithm for fast shapelet discovery. DSAA Xavier Renard, Maria Rifqi, Walid Erray, Marcin Detyniecki
2014	—	`ed.`	Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation, 10th International Workshop, AMR 2012, Copenhagen, Denmark, October 24-25, 2012, Revised Selected Papers Adaptive Multimedia Retrieval Andreas Nürnberger, Sebastian Stober, Birger Larsen, Marcin Detyniecki
2014	—	`conf`	Comparaison de bornes théoriques pour l'accélération du clustering incrémental en une passe. EGC Nicolas Labroche, Marcin Detyniecki, Thomas Bärecke
2014	—	`conf`	Intuitionistic Fuzzy Tautology Definitions for the Validity of Intuitionistic Fuzzy Implications: An Experimental Study. IEEE Conf. on Intelligent Systems (1) Marcin Detyniecki, Marie-Jeanne Lesot, Paul Moncuquet
2013	B	`conf`	Accelerating One-Pass Clustering by Cluster Selection Racing. ICTAI Nicolas Labroche, Marcin Detyniecki, Thomas Bärecke
2013	—	`ed.`	Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation - 9th International Workshop, AMR 2011, Barcelona, Spain, July 18-19, 2011, Revised Selected Papers Adaptive Multimedia Retrieval Marcin Detyniecki, Ana García-Serrano, Andreas Nürnberger, Sebastian Stober
2013	—	`conf`	Diversité hiérarchique et utilisation d'arbres de concepts pour la recherche d'images. CORIA Christian Kuoman, Sabrina Tollari, Marcin Detyniecki
2013	B	`conf`	Gradual Generalized Modus Ponens. FUZZ-IEEE Phuc-Nguyen Vo, Marcin Detyniecki, Bernadette Bouchon-Meunier
2013	—	`conf`	Towards Smooth Monotonicity in Fuzzy Inference System based on Gradual Generalized Modus Ponens. EUSFLAT Conf. Phuc-Nguyen Vo, Marcin Detyniecki
2013	—	`conf`	UPMC at MediaEval 2013: Relevance by Text and Diversity by Visual Clustering. MediaEval Christian Kuoman, Sabrina Tollari, Marcin Detyniecki
2013	C	`conf`	Using tree of concepts and hierarchical reordering for diversity in image retrieval. CBMI Christian Kuoman, Sabrina Tollari, Marcin Detyniecki
2012	—	`ch.`	On the Paradoxical Success of Mamdani's Minimum-Based Inference. Combining Experimentation and Theory Marcin Detyniecki, Benjamin Moubêche, Bernadette Bouchon-Meunier
2012	B	`conf`	Weather-based solar energy prediction. FUZZ-IEEE Marcin Detyniecki, Christophe Marsala, Ashwati Krishnan, Mel W. Siegel
2011	—	`ed.`	Adaptive Multimedia Retrieval. Context, Exploration, and Fusion - 8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010, Revised Selected Papers Adaptive Multimedia Retrieval Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl, Sebastian Stober
2011	—	`ed.`	Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User - 7th International Workshop, AMR 2009, Madrid, Spain, September 24-25, 2009, Revised Selected Papers Adaptive Multimedia Retrieval Marcin Detyniecki, Ana García-Serrano, Andreas Nürnberger
2011	B	`conf`	Double-linear fuzzy interpolation method. FUZZ-IEEE Marcin Detyniecki, Christophe Marsala, Maria Rifqi
2011	—	`conf`	Fuzzy present value. CIFEr Thomas Bärecke, Bernadette Bouchon-Meunier, Marcin Detyniecki
2011	—	`conf`	Object set matching with an evolutionary algorithm. CISDA Andrew R. Buck, James M. Keller, Marjorie Skubic, Marcin Detyniecki, Thomas Bärecke
2010	—	`ed.`	Adaptive Multimedia Retrieval. Identifying, Summarizing, and Recommending Image and Music, 6th International Workshop, AMR 2008, Berlin, Germany, June 26-27, 2008. Revised Selected Papers Adaptive Multimedia Retrieval Marcin Detyniecki, Ulrich Leiner, Andreas Nürnberger
2010	J	`jnl`	Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne. Document Numérique Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari
2010	—	`conf`	Multi-camera Monitoring of Infusion Pump Use. ICSC Zan Gao, Ming-yu Chen, Marcin Detyniecki, Wen Wu, Alexander G. Hauptmann, Howard D. Wactlar, Anni Cai
2010	J	`jnl`	The Application of Spatio-temporal Feature and Multi-Sensor in Home Medical Devices. J. Digit. Content Technol. its Appl. Zan Gao, Marcin Detyniecki, Ming-yu Chen, Alexander G. Hauptmann, Howard D. Wactlar, Anni Cai
2010	—	`conf`	Using Association Rules to Discover Color-Emotion Relationships Based on Social Tagging. KES (1) Haifeng Feng, Marie-Jeanne Lesot, Marcin Detyniecki
2009	—	`conf`	Comparaison de distances et noyaux classiques par degré d'équivalence des ordres induits. EGC Marie-Jeanne Lesot, Maria Rifqi, Marcin Detyniecki
2009	A	`conf`	Exploiting Visual Concepts to Improve Text-Based Image Retrieval. ECIR Sabrina Tollari, Marcin Detyniecki, Christophe Marsala, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari
2009	—	`ch.`	High Scale Fuzzy Video Mining. Scalable Fuzzy Algorithms for Data Management and Analysis Christophe Marsala, Marcin Detyniecki
2009	—	`conf`	Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images. CORIA Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari
2008	—	`conf`	A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches. CLEF Sabrina Tollari, Philippe Mulhem, Marin Ferecatu, Hervé Glotin, Marcin Detyniecki, Patrick Gallinari, Hichem Sahbi, Zhong-Qiu Zhao
2008	—	`ed.`	Adaptive Multimedial Retrieval: Retrieval, User, and Semantics, 5th International Workshop, AMR 2007, Paris, France, July 5-6, 2007, Revised Selected Papers Adaptive Multimedia Retrieval Nozha Boujemaa, Marcin Detyniecki, Andreas Nürnberger
2008	—	`conf`	Adaptive acceleration and shot stacking for video rushes summarization. TVS Marcin Detyniecki, Christophe Marsala
2008	—	`conf`	Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs. CLEF (Working Notes) Sabrina Tollari, Marcin Detyniecki, Marin Ferecatu, Hervé Glotin, Philippe Mulhem, Massih-Reza Amini, Ali Fakeri-Tabrizi, Patrick Gallinari, Hichem Sahbi, Zhong-Qiu Zhao
2008	—	`conf`	High scale video mining with forests of fuzzy decision trees. CSTST Christophe Marsala, Marcin Detyniecki
2008	—	`conf`	Mobile Museum Guide Based on Fast SIFT Recognition. Adaptive Multimedia Retrieval Boris Ruf, Effrosini Kokiopoulou, Marcin Detyniecki
2008	—	`conf`	UPMC-LIP6 at TrecVid'08: Balanced and Unbalanced Forests of Fuzzy Decision Trees for High-Level Feature Detection. TRECVID Christophe Marsala, Marcin Detyniecki
2008	—	`conf`	UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT). CLEF (Working Notes) Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Massih-Reza Amini, Patrick Gallinari
2008	—	`conf`	Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval. CLEF Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari
2007	—	`ed.`	Adaptive Multimedia Retrieval: User, Context, and Feedback, 4th International Workshop, AMR 2006, Geneva, Switzerland, July 27-28, 2006, Revised Selected Papers Adaptive Multimedia Retrieval Stéphane Marchand-Maillet, Eric Bruno, Andreas Nürnberger, Marcin Detyniecki
2007	—	`conf`	Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation. Adaptive Multimedia Retrieval Christian Hentschel, Sebastian Stober, Andreas Nürnberger, Marcin Detyniecki
2007	—	`conf`	Forest of Fuzzy Decision Trees and Their Application in Video Mining. EUSFLAT Conf. (1) Marcin Detyniecki, Christophe Marsala
2007	B	`conf`	Memetic algorithms for inexact graph matching. IEEE Congress on Evolutionary Computation Thomas Bärecke, Marcin Detyniecki
2007	—	`conf`	UHigh-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm. TRECVID Christophe Marsala, Marcin Detyniecki, Nicolas Usunier, Massih-Reza Amini
2007	—	`conf`	Video rushes summarization by adaptive acceleration and stacking of shots. TVS Marcin Detyniecki, Christophe Marsala
2006	—	`ed.`	Adaptive Multimedia Retrieval: User, Context, and Feedback, Third International Workshop, AMR 2005, Glasgow, UK, July 28-29, 2005, Revised Selected Papers Adaptive Multimedia Retrieval Marcin Detyniecki, Joemon M. Jose, Andreas Nürnberger, C. J. van Rijsbergen
2006	J	`jnl`	Externally growing self-organizing maps and its application to e-mail database visualization and exploration. Appl. Soft Comput. Andreas Nürnberger, Marcin Detyniecki
2006	J	`jnl`	Fast gradual matching measure for image retrieval based on visual similarity and spatial relations. Int. J. Intell. Syst. Jean-François Omhover, Marcin Detyniecki
2006	B	`conf`	Summarizing Video Information Using Self-Organizing Maps. FUZZ-IEEE Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki
2006	—	`conf`	University of Paris 6 at TRECVID 2006: Forest of Fuzzy Decision Trees for High-Level Feature Extraction. TRECVID Christophe Marsala, Marcin Detyniecki
2006	—	`conf`	Using Self-Organizing Maps to Support Video Navigation. ICANN (1) Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki
2006	—	`conf`	Video Navigation Based on Self-Organizing Maps. CIVR Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki
2006	—	`conf`	VideoSOM: A SOM-Based Interface for Video Browsing. CIVR Thomas Bärecke, Ewa Kijak, Andreas Nürnberger, Marcin Detyniecki
2005	—	`conf`	Ranking Invariance Based on Similarity Measures in Document Retrieval. Adaptive Multimedia Retrieval Jean-François Omhover, Maria Rifqi, Marcin Detyniecki
2005	—	`conf`	University of Paris 6 at TRECVID 2005: High-Level Feature Extraction. TRECVID Christophe Marsala, Marcin Detyniecki
2004	—	`ed.`	Adaptive Multimedia Retrieval: First International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers Adaptive Multimedia Retrieval Andreas Nürnberger, Marcin Detyniecki
2004	B	`conf`	Ranking invariance between fuzzy similarity measures applied to image retrieval. FUZZ-IEEE Jean-François Omhover, Marcin Detyniecki, Maria Rifqi, Bernadette Bouchon-Meunier
2004	—	`conf`	STRICT: An Image Retrieval Platform for Queries Based on Regional Content. CIVR Jean-François Omhover, Marcin Detyniecki
2003	—	`conf`	Adaptive Discovery of Indexing Rules for Video. Adaptive Multimedia Retrieval Marcin Detyniecki
2003	B	`conf`	Discovering knowledge for better video indexing based on colors. FUZZ-IEEE Marcin Detyniecki, Christophe Marsala
2003	—	`conf`	Fuzzy data mining for video. EUSFLAT Conf. Christophe Marsala, Marcin Detyniecki
2003	C	`conf`	Weighted Self-Organizing Maps: Incorporating User Feedback. ICANN Andreas Nürnberger, Marcin Detyniecki
2002	J	`jnl`	Reducing t-norms and augmenting t-conorms. Int. J. Gen. Syst. Marcin Detyniecki, Ronald R. Yager, Bernadette Bouchon-Meunier
2001	J	`jnl`	A context-dependent method for ordering fuzzy numbers using probabilities. Inf. Sci. Ronald R. Yager, Marcin Detyniecki, Bernadette Bouchon-Meunier
2001	—	`conf`	Fuzzy inductive learning for multimedia mining. EUSFLAT Conf. Marcin Detyniecki, Christophe Marsala
2000	C	`conf`	Browsing a Video with Simple Constrained Queries over Fuzzy Annotations. FQAS Marcin Detyniecki
2000	J	`jnl`	Ranking Fuzzy Numbers Using a-Weighted Valuations. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Marcin Detyniecki, Ronald R. Yager