Browsing a Video with Simple Constrained Queries over Fuzzy Annotations. - Marcin Detyniecki (FQAS, 2000)

Ranking Fuzzy Numbers Using a-Weighted Valuations. - Marcin Detyniecki; Ronald R. Yager (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000)

Fuzzy inductive learning for multimedia mining. - Marcin Detyniecki; Christophe Marsala (EUSFLAT Conf., 2001)

A context-dependent method for ordering fuzzy numbers using probabilities. - Ronald R. Yager; Marcin Detyniecki; Bernadette Bouchon-Meunier (Inf. Sci., 2001)

Reducing t-norms and augmenting t-conorms. - Marcin Detyniecki; Ronald R. Yager; Bernadette Bouchon-Meunier (Int. J. Gen. Syst., 2002)

Adaptive Discovery of Indexing Rules for Video. - Marcin Detyniecki (Adaptive Multimedia Retrieval, 2003)

Fuzzy data mining for video. - Christophe Marsala; Marcin Detyniecki (EUSFLAT Conf., 2003)

Discovering knowledge for better video indexing based on colors. - Marcin Detyniecki; Christophe Marsala (FUZZ-IEEE, 2003)

Weighted Self-Organizing Maps: Incorporating User Feedback. - Andreas Nürnberger; Marcin Detyniecki (ICANN, 2003)

STRICT: An Image Retrieval Platform for Queries Based on Regional Content. - Jean-François Omhover; Marcin Detyniecki (CIVR, 2004)

Ranking invariance between fuzzy similarity measures applied to image retrieval. - Jean-François Omhover; Marcin Detyniecki; Maria Rifqi; Bernadette Bouchon-Meunier (FUZZ-IEEE, 2004)

Ranking Invariance Based on Similarity Measures in Document Retrieval. - Jean-François Omhover; Maria Rifqi; Marcin Detyniecki (Adaptive Multimedia Retrieval, 2005)

University of Paris 6 at TRECVID 2005: High-Level Feature Extraction. - Christophe Marsala; Marcin Detyniecki (TRECVID, 2005)

Video Navigation Based on Self-Organizing Maps. - Thomas Bärecke; Ewa Kijak; Andreas Nürnberger; Marcin Detyniecki (CIVR, 2006)

VideoSOM: A SOM-Based Interface for Video Browsing. - Thomas Bärecke; Ewa Kijak; Andreas Nürnberger; Marcin Detyniecki (CIVR, 2006)

Summarizing Video Information Using Self-Organizing Maps. - Thomas Bärecke; Ewa Kijak; Andreas Nürnberger; Marcin Detyniecki (FUZZ-IEEE, 2006)

Using Self-Organizing Maps to Support Video Navigation. - Thomas Bärecke; Ewa Kijak; Andreas Nürnberger; Marcin Detyniecki (ICANN (1), 2006)

University of Paris 6 at TRECVID 2006: Forest of Fuzzy Decision Trees for High-Level Feature Extraction. - Christophe Marsala; Marcin Detyniecki (TRECVID, 2006)

Externally growing self-organizing maps and its application to e-mail database visualization and exploration. - Andreas Nürnberger; Marcin Detyniecki (Appl. Soft Comput., 2006)

Fast gradual matching measure for image retrieval based on visual similarity and spatial relations. - Jean-François Omhover; Marcin Detyniecki (Int. J. Intell. Syst., 2006)

Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation. - Christian Hentschel; Sebastian Stober; Andreas Nürnberger; Marcin Detyniecki (Adaptive Multimedia Retrieval, 2007)

Memetic algorithms for inexact graph matching. - Thomas Bärecke; Marcin Detyniecki (IEEE Congress on Evolutionary Computation, 2007)

Forest of Fuzzy Decision Trees and Their Application in Video Mining. - Marcin Detyniecki; Christophe Marsala (EUSFLAT Conf. (1), 2007)

Video rushes summarization by adaptive acceleration and stacking of shots. - Marcin Detyniecki; Christophe Marsala (TVS, 2007)

UHigh-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm. - Christophe Marsala; Marcin Detyniecki; Nicolas Usunier; Massih-Reza Amini (TRECVID, 2007)

Mobile Museum Guide Based on Fast SIFT Recognition. - Boris Ruf; Effrosini Kokiopoulou; Marcin Detyniecki (Adaptive Multimedia Retrieval, 2008)

UPMC/LIP6 at ImageCLEFphoto 2008: on the Exploitation of Visual Concepts (VCDT). - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Massih-Reza Amini; Patrick Gallinari (CLEF (Working Notes), 2008)

Consortium AVEIR at ImageCLEFphoto 2008: on the Fusion of Runs. - Sabrina Tollari; Marcin Detyniecki; Marin Ferecatu; Hervé Glotin; Philippe Mulhem; Massih-Reza Amini; Ali Fakeri-Tabrizi; Patrick Gallinari; Hichem Sahbi; Zhong-Qiu Zhao (CLEF (Working Notes), 2008)

Using Visual Concepts and Fast Visual Diversity to Improve Image Retrieval. - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Christophe Marsala; Massih-Reza Amini; Patrick Gallinari (CLEF, 2008)

A Comparative Study of Diversity Methods for Hybrid Text and Image Retrieval Approaches. - Sabrina Tollari; Philippe Mulhem; Marin Ferecatu; Hervé Glotin; Marcin Detyniecki; Patrick Gallinari; Hichem Sahbi; Zhong-Qiu Zhao (CLEF, 2008)

Adaptive acceleration and shot stacking for video rushes summarization. - Marcin Detyniecki; Christophe Marsala (TVS, 2008)

UPMC-LIP6 at TrecVid'08: Balanced and Unbalanced Forests of Fuzzy Decision Trees for High-Level Feature Detection. - Christophe Marsala; Marcin Detyniecki (TRECVID, 2008)

High scale video mining with forests of fuzzy decision trees. - Christophe Marsala; Marcin Detyniecki (CSTST, 2008)

High Scale Fuzzy Video Mining. - Christophe Marsala; Marcin Detyniecki (Scalable Fuzzy Algorithms for Data Management and Analysis, 2009)

Utilisation de concepts visuels et de la diversité visuelle pour améliorer la recherche d'images. - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Christophe Marsala; Massih-Reza Amini; Patrick Gallinari (CORIA, 2009)

Exploiting Visual Concepts to Improve Text-Based Image Retrieval. - Sabrina Tollari; Marcin Detyniecki; Christophe Marsala; Ali Fakeri-Tabrizi; Massih-Reza Amini; Patrick Gallinari (ECIR, 2009)

Comparaison de distances et noyaux classiques par degré d'équivalence des ordres induits. - Marie-Jeanne Lesot; Maria Rifqi; Marcin Detyniecki (EGC, 2009)

Using Association Rules to Discover Color-Emotion Relationships Based on Social Tagging. - Haifeng Feng; Marie-Jeanne Lesot; Marcin Detyniecki (KES (1), 2010)

Multi-camera Monitoring of Infusion Pump Use. - Zan Gao; Ming-yu Chen 001; Marcin Detyniecki; Wen Wu; Alexander G. Hauptmann; Howard D. Wactlar; Anni Cai (ICSC, 2010)

Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne. - Sabrina Tollari; Marcin Detyniecki; Ali Fakeri-Tabrizi; Christophe Marsala; Massih-Reza Amini; Patrick Gallinari (Document Numérique, 2010)

The Application of Spatio-temporal Feature and Multi-Sensor in Home Medical Devices. - Zan Gao; Marcin Detyniecki; Ming-yu Chen 001; Alexander G. Hauptmann; Howard D. Wactlar; Anni Cai (J. Digit. Content Technol. its Appl., 2010)

Fuzzy present value. - Thomas Bärecke; Bernadette Bouchon-Meunier; Marcin Detyniecki (CIFEr, 2011)

Object set matching with an evolutionary algorithm. - Andrew R. Buck; James M. Keller; Marjorie Skubic; Marcin Detyniecki; Thomas Bärecke (CISDA, 2011)

Double-linear fuzzy interpolation method. - Marcin Detyniecki; Christophe Marsala; Maria Rifqi (FUZZ-IEEE, 2011)

Weather-based solar energy prediction. - Marcin Detyniecki; Christophe Marsala; Ashwati Krishnan; Mel W. Siegel (FUZZ-IEEE, 2012)

On the Paradoxical Success of Mamdani's Minimum-Based Inference. - Marcin Detyniecki; Benjamin Moubêche; Bernadette Bouchon-Meunier (Combining Experimentation and Theory, 2012)

Using tree of concepts and hierarchical reordering for diversity in image retrieval. - Christian Kuoman; Sabrina Tollari; Marcin Detyniecki (CBMI, 2013)

Diversité hiérarchique et utilisation d'arbres de concepts pour la recherche d'images. - Christian Kuoman; Sabrina Tollari; Marcin Detyniecki (CORIA, 2013)

Towards Smooth Monotonicity in Fuzzy Inference System based on Gradual Generalized Modus Ponens. - Phuc-Nguyen Vo; Marcin Detyniecki (EUSFLAT Conf., 2013)

Gradual Generalized Modus Ponens. - Phuc-Nguyen Vo; Marcin Detyniecki; Bernadette Bouchon-Meunier (FUZZ-IEEE, 2013)

Accelerating One-Pass Clustering by Cluster Selection Racing. - Nicolas Labroche; Marcin Detyniecki; Thomas Bärecke (ICTAI, 2013)

UPMC at MediaEval 2013: Relevance by Text and Diversity by Visual Clustering. - Christian Kuoman; Sabrina Tollari; Marcin Detyniecki (MediaEval, 2013)

Comparaison de bornes théoriques pour l'accélération du clustering incrémental en une passe. - Nicolas Labroche; Marcin Detyniecki; Thomas Bärecke (EGC, 2014)

Intuitionistic Fuzzy Tautology Definitions for the Validity of Intuitionistic Fuzzy Implications: An Experimental Study. - Marcin Detyniecki; Marie-Jeanne Lesot; Paul Moncuquet (IEEE Conf. on Intelligent Systems (1), 2014)

Fast community structure local uncovering by independent vertex-centred process. - Maël Canu; Marcin Detyniecki; Marie-Jeanne Lesot; Adrien Revault d'Allonnes (ASONAM, 2015)

Classification with a reject option under Concept Drift: The Droplets algorithm. - Pierre-Xavier Loeffel; Christophe Marsala; Marcin Detyniecki (DSAA, 2015)

Random-shapelet: An algorithm for fast shapelet discovery. - Xavier Renard; Maria Rifqi; Walid Erray; Marcin Detyniecki (DSAA, 2015)

Person-specific behavioural features for automatic stress detection. - Jonathan Aigrain; Séverine Dubuisson; Marcin Detyniecki; Mohamed Chetouani (FG, 2015)

Memory management for data streams subject to concept drift. - Pierre-Xavier Loeffel; Christophe Marsala; Marcin Detyniecki (ESANN, 2016)

La révolution de l'assurance par la donnée : défis scientifiques de l'extraction à la gestion de connaissances. - Marcin Detyniecki (EGC, 2016)

Transformation-based constraint-guided Generalised Modus Ponens. - Michaël Blot; Marie-Jeanne Lesot; Marcin Detyniecki (FUZZ-IEEE, 2016)

Improving the Prediction Cost of Drift Handling Algorithms by Abstaining. - Pierre-Xavier Loeffel; Vincent Lemaire 001; Christophe Marsala; Marcin Detyniecki (ICDM Workshops, 2016)

On leveraging crowdsourced data for automatic perceived stress detection. - Jonathan Aigrain; Arnaud Dapogny; Kevin Bailly; Séverine Dubuisson; Marcin Detyniecki; Mohamed Chetouani (ICMI, 2016)

How Much Is "About"? Fuzzy Interpretation of Approximate Numerical Expressions. - Sébastien Lefort; Marie-Jeanne Lesot; Elisabetta Zibetti; Charles Tijus; Marcin Detyniecki (IPMU (1), 2016)

How arithmetically fuzzy are we? An empirical comparison of human imprecise calculation and fuzzy arithmetic. - Sébastien Lefort; Marie-Jeanne Lesot; Elisabetta Zibetti; Charles Tijus; Marcin Detyniecki (FUZZ-IEEE, 2017)

Droplet Ensemble Learning on Drifting Data Streams. - Pierre-Xavier Loeffel; Albert Bifet; Christophe Marsala; Marcin Detyniecki (IDA, 2017)

Dimensions for Automatic Interpretation of Approximate Numerical Expressions: An empirical study. - Sébastien Lefort; Elisabetta Zibetti; Marie-Jeanne Lesot; Marcin Detyniecki; Charles Tijus (IUI, 2017)

Inverse Classification for Comparison-based Interpretability in Machine Learning. - Thibault Laugel; Marie-Jeanne Lesot; Christophe Marsala; Xavier Renard; Marcin Detyniecki (CoRR, 2017)

Interpretation of approximate numerical expressions: Computational model and empirical study. - Sébastien Lefort; Marie-Jeanne Lesot; Elisabetta Zibetti; Charles Tijus; Marcin Detyniecki (Int. J. Approx. Reason., 2017)

Comparison-Based Inverse Classification for Interpretability in Machine Learning. - Thibault Laugel; Marie-Jeanne Lesot; Christophe Marsala; Xavier Renard; Marcin Detyniecki (IPMU (1), 2018)

Detecting Potential Local Adversarial Examples for Human-Interpretable Defense. - Xavier Renard; Thibault Laugel; Marie-Jeanne Lesot; Christophe Marsala; Marcin Detyniecki (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Car Accident Detection and Reconstruction Through Sound Analysis with Crashzam. - Matteo Sammarco; Marcin Detyniecki (SMARTGREENS/VEHITS (Selected Papers), 2018)

Crashzam: Sound-based Car Crash Detection. - Matteo Sammarco; Marcin Detyniecki (VEHITS, 2018)

Defining Locality for Surrogates in Post-hoc Interpretablity. - Thibault Laugel; Xavier Renard; Marie-Jeanne Lesot; Christophe Marsala; Marcin Detyniecki (CoRR, 2018)

Multimodal Stress Detection from Multiple Assessments. - Jonathan Aigrain; Michel Spodenkiewicz; Séverine Dubuisson; Marcin Detyniecki; David Cohen; Mohamed Chetouani (IEEE Trans. Affect. Comput., 2018)

Fair Adversarial Gradient Tree Boosting. - Vincent Grari; Boris Ruf; Sylvain Lamprier; Marcin Detyniecki (ICDM, 2019)

The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. - Thibault Laugel; Marie-Jeanne Lesot; Christophe Marsala; Xavier Renard; Marcin Detyniecki (IJCAI, 2019)

Unsupervised Detection of Adversarial Collaboration in Data-Driven Networking. - Matteo Sammarco; Miguel Elias Mitre Campista; Marcin Detyniecki; Tahiry Razafindralambo; Marcelo Dias de Amorim (NOF, 2019)

Unjustified Classification Regions and Counterfactual Explanations in Machine Learning. - Thibault Laugel; Marie-Jeanne Lesot; Christophe Marsala; Xavier Renard; Marcin Detyniecki (ECML/PKDD (2), 2019)

Contract Statements Knowledge Service for Chatbots. - Boris Ruf; Matteo Sammarco; Marcin Detyniecki (SMC, 2019)

Detecting Adversarial Examples and Other Misclassifications in Neural Networks by Introspection. - Jonathan Aigrain; Marcin Detyniecki (CoRR, 2019)

Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees. - Xavier Renard; Nicolas Woloszko; Jonathan Aigrain; Marcin Detyniecki (CoRR, 2019)

Issues with post-hoc counterfactual explanations: a discussion. - Thibault Laugel; Marie-Jeanne Lesot; Christophe Marsala; Marcin Detyniecki (CoRR, 2019)

Imperceptible Adversarial Attacks on Tabular Data. - Vincent Ballet; Xavier Renard; Jonathan Aigrain; Thibault Laugel; Pascal Frossard; Marcin Detyniecki (CoRR, 2019)

Fairness-Aware Neural Réyni Minimization for Continuous Features. - Vincent Grari; Boris Ruf; Sylvain Lamprier; Marcin Detyniecki (CoRR, 2019)

Fairness-Aware Neural Rényi Minimization for Continuous Features. - Vincent Grari; Sylvain Lamprier; Marcin Detyniecki (IJCAI, 2020)

Getting Fairness Right: Towards a Toolbox for Practitioners. - Boris Ruf; Chaouki Boutharouite; Marcin Detyniecki (CoRR, 2020)

Vehicle Telematics Via Exteroceptive Sensors: A Survey. - Fernando Molano Ortiz; Matteo Sammarco; Luís Henrique M. K. Costa; Marcin Detyniecki (CoRR, 2020)

Active Fairness Instead of Unawareness. - Boris Ruf; Marcin Detyniecki (CoRR, 2020)

Sentence-Based Model Agnostic NLP Interpretability. - Yves Rychener; Xavier Renard; Djamé Seddah; Pascal Frossard; Marcin Detyniecki (CoRR, 2020)

QUACKIE: A NLP Classification Task With Ground Truth Explanations. - Yves Rychener; Xavier Renard; Djamé Seddah; Pascal Frossard; Marcin Detyniecki (CoRR, 2020)

Achieving Fairness with Decision Trees: An Adversarial Approach. - Vincent Grari; Boris Ruf; Sylvain Lamprier; Marcin Detyniecki (Data Sci. Eng., 2020)

Enforcing Individual Fairness via Rényi Variational Inference. - Vincent Grari; Oualid El Hajouji; Sylvain Lamprier; Marcin Detyniecki (ICONIP (5), 2021)

Building Trust in Artificial Conversational Agents. - Clara Bove; Jonathan Aigrain; Marcin Detyniecki (IUI Workshops, 2021)

Contextualising local explanations for non-expert users: an XAI pricing interface for insurance. - Clara Bove; Jonathan Aigrain; Marie-Jeanne Lesot; Charles Tijus; Marcin Detyniecki (IUI Workshops, 2021)

Learning Unbiased Representations via Rényi Minimization. - Vincent Grari; Oualid El Hajouji; Sylvain Lamprier; Marcin Detyniecki (ECML/PKDD (2), 2021)

How to Choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice. - Tom Vermeire; Thibault Laugel; Xavier Renard; David Martens; Marcin Detyniecki (PKDD/ECML Workshops (1), 2021)

Análise do Aprendizado Federado em Redes Móveis. - Kaylani Bochie; Matteo Sammarco; Marcin Detyniecki; Miguel Elias M. Campista (SBRC, 2021)

A Supervised Approach for Corrective Maintenance Using Spectral Features from Industrial Sounds. - Luana Gantert; Matteo Sammarco; Marcin Detyniecki; Miguel Elias M. Campista (WF-IoT, 2021)

Towards the Right Kind of Fairness in AI. - Boris Ruf; Marcin Detyniecki (CoRR, 2021)

Implementing Fair Regression In The Real World. - Boris Ruf; Marcin Detyniecki (CoRR, 2021)

Understanding Prediction Discrepancies in Machine Learning Classifiers. - Xavier Renard; Thibault Laugel; Marcin Detyniecki (CoRR, 2021)

Explaining how your AI system is fair. - Boris Ruf; Marcin Detyniecki (CoRR, 2021)

On the overlooked issue of defining explanation objectives for local-surrogate explainers. - Rafael Poyiadzi; Xavier Renard; Thibault Laugel; Raúl Santos-Rodríguez; Marcin Detyniecki (CoRR, 2021)

Understanding surrogate explanations: the interplay between complexity, fidelity and coverage. - Rafael Poyiadzi; Xavier Renard; Thibault Laugel; Raúl Santos-Rodríguez; Marcin Detyniecki (CoRR, 2021)

Interpolative Reasoning: Valid, Specificity-Gradual and Similarity-Based. - Marcin Detyniecki (Fuzzy Approaches for Soft Computing and Approximate Reasoning, 2021)

A Tool Bundle for AI Fairness in Practice. - Boris Ruf; Marcin Detyniecki (CHI Extended Abstracts, 2022)

Fairness without the Sensitive Attribute via Causal Variational Autoencoder. - Vincent Grari; Sylvain Lamprier; Marcin Detyniecki (IJCAI, 2022)

Integrating Prior Knowledge in Post-hoc Explanations. - Adulam Jeyasothy; Thibault Laugel; Marie-Jeanne Lesot; Christophe Marsala; Marcin Detyniecki (IPMU (2), 2022)

Contextualization and Exploration of Local Feature Importance Explanations to Improve Understanding and Satisfaction of Non-Expert Users. - Clara Bove; Jonathan Aigrain; Marie-Jeanne Lesot; Charles Tijus; Marcin Detyniecki (IUI, 2022)

Super Learner Ensemble for Sound Classification using Spectral Features. - Luana Gantert; Matteo Sammarco; Marcin Detyniecki; Miguel Elias M. Campista (LATINCOM, 2022)

Intégration de connaissances dans les méthodes d'explications post-hoc. - Adulam Jeyasothy; Thibault Laugel; Marie-Jeanne Lesot; Christophe Marsala; Marcin Detyniecki (LFA, 2022)

On the Granularity of Explanations in Model Agnostic NLP Interpretability. - Yves Rychener; Xavier Renard; Djamé Seddah; Pascal Frossard; Marcin Detyniecki (PKDD/ECML Workshops (1), 2022)

Graph Matching with Distance-Preserving Crossover. - Thomas Bärecke; Marcin Detyniecki (Complex Syst., 2022)

A fair pricing model via adversarial learning. - Vincent Grari; Arthur Charpentier; Sylvain Lamprier; Marcin Detyniecki (CoRR, 2022)

Towards drivers' safety with multi-criteria car navigation systems. - Leonardo Solé; Matteo Sammarco; Marcin Detyniecki; Miguel Elias M. Campista (Future Gener. Comput. Syst., 2022)

Achieving Diversity in Counterfactual Explanations: a Review and Discussion. - Thibault Laugel; Adulam Jeyasothy; Marie-Jeanne Lesot; Christophe Marsala; Marcin Detyniecki (FAccT, 2023)

Open and Linked Data Model for Carbon Footprint Scenarios. - Boris Ruf; Marcin Detyniecki (ICAIT, 2023)

Improving Few-Shot Object Detection with Object Part Proposals. - Arthur Chevalley; Ciprian Tomoiaga; Marcin Detyniecki; Marc Rußwurm; Devis Tuia (IGARSS, 2023)

Investigating the Intelligibility of Plural Counterfactual Examples for Non-Expert Users: an Explanation User Interface Proposition and User Study. - Clara Bove; Marie-Jeanne Lesot; Charles Albert Tijus; Marcin Detyniecki (IUI, 2023)

When Mitigating Bias is Unfair: A Comprehensive Study on the Impact of Bias Mitigation Algorithms. - Natasa Krco; Thibault Laugel; Jean-Michel Loubes; Marcin Detyniecki (CoRR, 2023)

Applications and Services Using Vehicular Exteroceptive Sensors: A Survey. - Fernando Molano Ortiz; Matteo Sammarco; Luís Henrique M. K. Costa; Marcin Detyniecki (IEEE Trans. Intell. Veh., 2023)

Adversarial learning for counterfactual fairness. - Vincent Grari; Sylvain Lamprier; Marcin Detyniecki (Mach. Learn., 2023)

Tamper-proof access control for IoT clouds using enclaves. - Guilherme A. Thomaz; Matheus B. Guerra; Matteo Sammarco; Marcin Detyniecki; Miguel Elias M. Campista (Ad Hoc Networks, 2023)

A general framework for personalising post hoc explanations through user knowledge integration. - Adulam Jeyasothy; Thibault Laugel; Marie-Jeanne Lesot; Christophe Marsala; Marcin Detyniecki (Int. J. Approx. Reason., 2023)

On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. - Vincent Grari; Thibault Laugel; Tatsunori Hashimoto; Sylvain Lamprier; Marcin Detyniecki (ICLR, 2024)

The ≪Huh?≫ Button: Improving Understanding in Educational Videos with Large Language Models. - Boris Ruf; Marcin Detyniecki (ISM, 2024)

OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning. - Vincent Grari; Marcin Detyniecki (CoRR, 2024)

Why do explanations fail? A typology and discussion on failures in XAI. - Clara Bove; Thibault Laugel; Marie-Jeanne Lesot; Charles Tijus; Marcin Detyniecki (CoRR, 2024)

Post-processing fairness with minimal changes. - Federico Di Gennaro; Thibault Laugel; Vincent Grari; Xavier Renard; Marcin Detyniecki (CoRR, 2024)

Understanding prediction discrepancies in classification. - Xavier Renard; Thibault Laugel; Marcin Detyniecki (Mach. Learn., 2024)

SAKE: Steering Activations for Knowledge Editing. - Marco Scialanga; Thibault Laugel; Vincent Grari; Marcin Detyniecki (ACL (1), 2025)

Self-supervised Change Detection via Cooperative Learning: A Two-Player Model. - Manon Béchaz; Emanuele Dalsasso; Ciprian Tomoiaga; Marcin Detyniecki; Devis Tuia (JURSE, 2025)

When Mitigating Bias is Unfair: Multiplicity and Arbitrariness in Algorithmic Group Fairness. - Natasa Krco; Thibault Laugel; Vincent Grari; Jean-Michel Loubes; Marcin Detyniecki (SaTML, 2025)

Controlled Model Debiasing through Minimal and Interpretable Updates. - Federico Di Gennaro; Thibault Laugel; Vincent Grari; Marcin Detyniecki (Trans. Mach. Learn. Res., 2025)

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards. - Daniil Karzanov; Rubén Garzón; Mikhail Terekhov; Caglar Gulcehre; Thomas Raffinot; Marcin Detyniecki (CoRR, 2025)

Metric assessment protocol in the context of answer fluctuation on MCQ tasks. - Ekaterina Goliakova; Xavier Renard; Marie-Jeanne Lesot; Thibault Laugel; Christophe Marsala; Marcin Detyniecki (CoRR, 2025)

Mitigating the Carbon Footprint of Chatbots as Consumers. - Boris Ruf; Marcin Detyniecki (CoRR, 2025)