Marcin Detyniecki

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 80

Top Venues

CoRR

IUI

IJCAI

PKDD/ECML Workshops (1)

Publications

Clara Bove, Thibault Laugel, Marie-Jeanne Lesot, Charles Tijus, Marcin Detyniecki
Why do explanations fail? A typology and discussion on failures in XAI. CoRR (2024)
Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. ICLR (2024)
Vincent Grari, Marcin Detyniecki
OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning. CoRR (2024)
Boris Ruf, Marcin Detyniecki
Open and Linked Data Model for Carbon Footprint Scenarios. ICAIT (2023)
Clara Bove, Marie-Jeanne Lesot, Charles Albert Tijus, Marcin Detyniecki
Investigating the Intelligibility of Plural Counterfactual Examples for Non-Expert Users: an Explanation User Interface Proposition and User Study. IUI (2023)
Arthur Chevalley, Ciprian Tomoiaga, Marcin Detyniecki, Marc Rußwurm, Devis Tuia
Improving Few-Shot Object Detection with Object Part Proposals. IGARSS (2023)
Fernando Molano Ortiz, Matteo Sammarco, Luís Henrique M. K. Costa, Marcin Detyniecki
Applications and Services Using Vehicular Exteroceptive Sensors: A Survey. IEEE Trans. Intell. Veh. 8 (1) (2023)
Natasa Krco, Thibault Laugel, Jean-Michel Loubes, Marcin Detyniecki
When Mitigating Bias is Unfair: A Comprehensive Study on the Impact of Bias Mitigation Algorithms. CoRR (2023)
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
Adversarial learning for counterfactual fairness. Mach. Learn. 112 (3) (2023)
Thibault Laugel, Adulam Jeyasothy, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Achieving Diversity in Counterfactual Explanations: a Review and Discussion. CoRR (2023)
Guilherme A. Thomaz, Matheus B. Guerra, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista
Tamper-proof access control for IoT clouds using enclaves. Ad Hoc Networks 147 (2023)
Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
A general framework for personalising post hoc explanations through user knowledge integration. Int. J. Approx. Reason. 160 (2023)
Vincent Grari, Thibault Laugel, Tatsunori Hashimoto, Sylvain Lamprier, Marcin Detyniecki
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing. CoRR (2023)
Boris Ruf, Marcin Detyniecki
Open and Linked Data Model for Carbon Footprint Scenarios. CoRR (2023)
Thibault Laugel, Adulam Jeyasothy, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Achieving Diversity in Counterfactual Explanations: a Review and Discussion. FAccT (2023)
Boris Ruf, Marcin Detyniecki
A Tool Bundle for AI Fairness in Practice. CHI Extended Abstracts (2022)
Leonardo Solé, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista
Towards drivers' safety with multi-criteria car navigation systems. Future Gener. Comput. Syst. 135 (2022)
Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Integrating Prior Knowledge in Post-hoc Explanations. CoRR (2022)
Luana Gantert, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista
Super Learner Ensemble for Sound Classification using Spectral Features. LATINCOM (2022)
Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Intégration de connaissances dans les méthodes d'explications post-hoc. LFA (2022)
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
On the Granularity of Explanations in Model Agnostic NLP Interpretability. PKDD/ECML Workshops (1) (2022)
Thomas Bärecke, Marcin Detyniecki
Graph Matching with Distance-Preserving Crossover. Complex Syst. 31 (2) (2022)
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
Fairness without the Sensitive Attribute via Causal Variational Autoencoder. IJCAI (2022)
Clara Bove, Jonathan Aigrain, Marie-Jeanne Lesot, Charles Tijus, Marcin Detyniecki
Contextualization and Exploration of Local Feature Importance Explanations to Improve Understanding and Satisfaction of Non-Expert Users. IUI (2022)
Adulam Jeyasothy, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Integrating Prior Knowledge in Post-hoc Explanations. IPMU (2) (2022)
Clara Bove, Jonathan Aigrain, Marie-Jeanne Lesot, Charles Tijus, Marcin Detyniecki
Contextualising local explanations for non-expert users: an XAI pricing interface for insurance. IUI Workshops (2021)
Boris Ruf, Marcin Detyniecki
Explaining how your AI system is fair. CoRR (2021)
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
On the overlooked issue of defining explanation objectives for local-surrogate explainers. CoRR (2021)
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
Fairness without the sensitive attribute via Causal Variational Autoencoder. CoRR (2021)
Kaylani Bochie, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista
Análise do Aprendizado Federado em Redes Móveis. SBRC (2021)
Clara Bove, Jonathan Aigrain, Marcin Detyniecki
Building Trust in Artificial Conversational Agents. IUI Workshops (2021)
Xavier Renard, Thibault Laugel, Marcin Detyniecki
Understanding Prediction Discrepancies in Machine Learning Classifiers. CoRR (2021)
Boris Ruf, Marcin Detyniecki
Towards the Right Kind of Fairness in AI. CoRR (2021)
Rafael Poyiadzi, Xavier Renard, Thibault Laugel, Raúl Santos-Rodríguez, Marcin Detyniecki
Understanding surrogate explanations: the interplay between complexity, fidelity and coverage. CoRR (2021)
Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki
How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice. CoRR (2021)
Luana Gantert, Matteo Sammarco, Marcin Detyniecki, Miguel Elias M. Campista
A Supervised Approach for Corrective Maintenance Using Spectral Features from Industrial Sounds. WF-IoT (2021)
Boris Ruf, Marcin Detyniecki
Implementing Fair Regression In The Real World. CoRR (2021)
Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki
Learning Unbiased Representations via Rényi Minimization. ECML/PKDD (2) (2021)
Tom Vermeire, Thibault Laugel, Xavier Renard, David Martens, Marcin Detyniecki
How to Choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice. PKDD/ECML Workshops (1) (2021)
Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki
Enforcing Individual Fairness via Rényi Variational Inference. ICONIP (5) (2021)
Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki
Learning Unbiased Representations via Rényi Minimization. CoRR (2020)
Boris Ruf, Chaouki Boutharouite, Marcin Detyniecki
Getting Fairness Right: Towards a Toolbox for Practitioners. CoRR (2020)
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
QUACKIE: A NLP Classification Task With Ground Truth Explanations. CoRR (2020)
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
Fairness-Aware Neural Rényi Minimization for Continuous Features. IJCAI (2020)
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
Adversarial Learning for Counterfactual Fairness. CoRR (2020)
Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
Achieving Fairness with Decision Trees: An Adversarial Approach. Data Sci. Eng. 5 (2) (2020)
Boris Ruf, Marcin Detyniecki
Active Fairness Instead of Unawareness. CoRR (2020)
Fernando Molano Ortiz, Matteo Sammarco, Luís Henrique M. K. Costa, Marcin Detyniecki
Vehicle Telematics Via Exteroceptive Sensors: A Survey. CoRR (2020)
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
Sentence-Based Model Agnostic NLP Interpretability. CoRR (2020)
Matteo Sammarco, Miguel Elias Mitre Campista, Marcin Detyniecki, Tahiry Razafindralambo, Marcelo Dias de Amorim
Unsupervised Detection of Adversarial Collaboration in Data-Driven Networking. NOF (2019)
Vincent Ballet, Xavier Renard, Jonathan Aigrain, Thibault Laugel, Pascal Frossard, Marcin Detyniecki
Imperceptible Adversarial Attacks on Tabular Data. CoRR (2019)
Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
Fair Adversarial Gradient Tree Boosting. ICDM (2019)
Xavier Renard, Nicolas Woloszko, Jonathan Aigrain, Marcin Detyniecki
Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees. CoRR (2019)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. CoRR (2019)
Boris Ruf, Matteo Sammarco, Marcin Detyniecki
Contract Statements Knowledge Service for Chatbots. SMC (2019)
Boris Ruf, Matteo Sammarco, Marcin Detyniecki
Contract Statements Knowledge Service for Chatbots. CoRR (2019)
Jonathan Aigrain, Marcin Detyniecki
Detecting Adversarial Examples and Other Misclassifications in Neural Networks by Introspection. CoRR (2019)
Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
Fair Adversarial Gradient Tree Boosting. CoRR (2019)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Issues with post-hoc counterfactual explanations: a discussion. CoRR (2019)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations. IJCAI (2019)
Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki
Fairness-Aware Neural Réyni Minimization for Continuous Features. CoRR (2019)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
Unjustified Classification Regions and Counterfactual Explanations in Machine Learning. ECML/PKDD (2) (2019)
Matteo Sammarco, Marcin Detyniecki
Crashzam: Sound-based Car Crash Detection. VEHITS (2018)
Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML (2018)
Jonathan Aigrain, Michel Spodenkiewicz, Séverine Dubuisson, Marcin Detyniecki, David Cohen, Mohamed Chetouani
Multimodal Stress Detection from Multiple Assessments. IEEE Trans. Affect. Comput. 9 (4) (2018)
Xavier Renard, Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Detecting Potential Local Adversarial Examples for Human-Interpretable Defense. CoRR (2018)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
Comparison-Based Inverse Classification for Interpretability in Machine Learning. IPMU (1) (2018)
Thibault Laugel, Xavier Renard, Marie-Jeanne Lesot, Christophe Marsala, Marcin Detyniecki
Defining Locality for Surrogates in Post-hoc Interpretablity. CoRR (2018)
Matteo Sammarco, Marcin Detyniecki
Car Accident Detection and Reconstruction Through Sound Analysis with Crashzam. SMARTGREENS/VEHITS (Selected Papers) (2018)
Sébastien Lefort, Marie-Jeanne Lesot, Elisabetta Zibetti, Charles Tijus, Marcin Detyniecki
Interpretation of approximate numerical expressions: Computational model and empirical study. Int. J. Approx. Reason. 82 (2017)
Pierre-Xavier Loeffel, Albert Bifet, Christophe Marsala, Marcin Detyniecki
Droplet Ensemble Learning on Drifting Data Streams. IDA (2017)
Sébastien Lefort, Marie-Jeanne Lesot, Elisabetta Zibetti, Charles Tijus, Marcin Detyniecki
How arithmetically fuzzy are we? An empirical comparison of human imprecise calculation and fuzzy arithmetic. FUZZ-IEEE (2017)
Thibault Laugel, Marie-Jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki
Inverse Classification for Comparison-based Interpretability in Machine Learning. CoRR (2017)
Sébastien Lefort, Elisabetta Zibetti, Marie-Jeanne Lesot, Marcin Detyniecki, Charles Tijus
Dimensions for Automatic Interpretation of Approximate Numerical Expressions: An empirical study. IUI (2017)
Marcin Detyniecki
La révolution de l'assurance par la donnée : défis scientifiques de l'extraction à la gestion de connaissances. EGC (2016)
Pierre-Xavier Loeffel, Vincent Lemaire, Christophe Marsala, Marcin Detyniecki
Improving the Prediction Cost of Drift Handling Algorithms by Abstaining. ICDM Workshops (2016)
Jonathan Aigrain, Arnaud Dapogny, Kevin Bailly, Séverine Dubuisson, Marcin Detyniecki, Mohamed Chetouani
On leveraging crowdsourced data for automatic perceived stress detection. ICMI (2016)
Sébastien Lefort, Marie-Jeanne Lesot, Elisabetta Zibetti, Charles Tijus, Marcin Detyniecki
How Much Is "About"? Fuzzy Interpretation of Approximate Numerical Expressions. IPMU (1) (2016)
Michaël Blot, Marie-Jeanne Lesot, Marcin Detyniecki
Transformation-based constraint-guided Generalised Modus Ponens. FUZZ-IEEE (2016)
Pierre-Xavier Loeffel, Christophe Marsala, Marcin Detyniecki
Memory management for data streams subject to concept drift. ESANN (2016)
Pierre-Xavier Loeffel, Christophe Marsala, Marcin Detyniecki
Classification with a reject option under Concept Drift: The Droplets algorithm. DSAA (2015)
Xavier Renard, Maria Rifqi, Walid Erray, Marcin Detyniecki
Random-shapelet: An algorithm for fast shapelet discovery. DSAA (2015)
Maël Canu, Marcin Detyniecki, Marie-Jeanne Lesot, Adrien Revault d'Allonnes
Fast community structure local uncovering by independent vertex-centred process. ASONAM (2015)
Jonathan Aigrain, Séverine Dubuisson, Marcin Detyniecki, Mohamed Chetouani
Person-specific behavioural features for automatic stress detection. FG (2015)
Maël Canu, Marcin Detyniecki, Marie-Jeanne Lesot, Adrien Revault d'Allonnes
Fast community structure local uncovering by independent vertex-centred process. CoRR (2015)
Marcin Detyniecki, Marie-Jeanne Lesot, Paul Moncuquet
Intuitionistic Fuzzy Tautology Definitions for the Validity of Intuitionistic Fuzzy Implications: An Experimental Study. IEEE Conf. on Intelligent Systems (1) (2014)
Nicolas Labroche, Marcin Detyniecki, Thomas Bärecke
Comparaison de bornes théoriques pour l'accélération du clustering incrémental en une passe. EGC (2014)
Christian Kuoman, Sabrina Tollari, Marcin Detyniecki
Diversité hiérarchique et utilisation d'arbres de concepts pour la recherche d'images. CORIA (2013)
Nicolas Labroche, Marcin Detyniecki, Thomas Bärecke
Accelerating One-Pass Clustering by Cluster Selection Racing. ICTAI (2013)
Phuc-Nguyen Vo, Marcin Detyniecki, Bernadette Bouchon-Meunier
Gradual Generalized Modus Ponens. FUZZ-IEEE (2013)
Christian Kuoman, Sabrina Tollari, Marcin Detyniecki
Using tree of concepts and hierarchical reordering for diversity in image retrieval. CBMI (2013)
Phuc-Nguyen Vo, Marcin Detyniecki
Towards Smooth Monotonicity in Fuzzy Inference System based on Gradual Generalized Modus Ponens. EUSFLAT Conf. (2013)
Christian Kuoman, Sabrina Tollari, Marcin Detyniecki
UPMC at MediaEval 2013: Relevance by Text and Diversity by Visual Clustering. MediaEval (2013)
Marcin Detyniecki, Christophe Marsala, Ashwati Krishnan, Mel W. Siegel
Weather-based solar energy prediction. FUZZ-IEEE (2012)
Thomas Bärecke, Bernadette Bouchon-Meunier, Marcin Detyniecki
Fuzzy present value. CIFEr (2011)
Marcin Detyniecki, Christophe Marsala, Maria Rifqi
Double-linear fuzzy interpolation method. FUZZ-IEEE (2011)
Andrew R. Buck, James M. Keller, Marjorie Skubic, Marcin Detyniecki, Thomas Bärecke
Object set matching with an evolutionary algorithm. CISDA (2011)
Sabrina Tollari, Marcin Detyniecki, Ali Fakeri-Tabrizi, Christophe Marsala, Massih-Reza Amini, Patrick Gallinari
Exploitation du contenu visuel pour améliorer la recherche textuelle d'images en ligne. Document Numérique 13 (1) (2010)
Zan Gao, Marcin Detyniecki, Ming-yu Chen, Alexander G. Hauptmann, Howard D. Wactlar, Anni Cai
The Application of Spatio-temporal Feature and Multi-Sensor in Home Medical Devices. J. Digit. Content Technol. its Appl. 4 (7) (2010)
Haifeng Feng, Marie-Jeanne Lesot, Marcin Detyniecki
Using Association Rules to Discover Color-Emotion Relationships Based on Social Tagging. KES (1) (2010)

Marcin Detyniecki.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Marcin Detyniecki