A Meta-CASE Environment for Software Process-Centred CASE Environments. - Flávio Oquendo; Jean-Daniel Zucker; Philip Griffiths (CAiSE, 1992)

Selective Reformulation of Examples in Concept Learning. - Jean-Daniel Zucker; Jean-Gabriel Ganascia (ICML, 1994)

DICE: A Discovery Environment Integrating Inductive Bias. - Jean-Daniel Zucker; Vincent Corruble; J. Thomas; Geber L. Ramalho (KDD Workshop, 1994)

Reformulation of Examples in Concept Learning of Structural Descriptions. - Jean-Daniel Zucker (AI*IA, 1995)

Representation Changes for Efficient Learning in Structural Domains. - Jean-Daniel Zucker; Jean-Gabriel Ganascia (ICML, 1996)

Learning Strategies in Games by Anticipation. - Christophe Meyer; Jean-Gabriel Ganascia; Jean-Daniel Zucker (IJCAI (1), 1997)

Learning Structurally Indeterminate Clauses. - Jean-Daniel Zucker; Jean-Gabriel Ganascia (ILP, 1998)

Relational Knowledge Discovery in a Chinese Character Database. - Jean-Daniel Zucker; Jean-Gabriel Ganascia; Isabelle Bournaud (Appl. Artif. Intell., 1998)

Cartographic Generalization as a Combination of Representing and Abstracting Knowledge. - Sébastien Mustière; Jean-Daniel Zucker; Lorenza Saitta (ACM-GIS, 1999)

Une approche multi-agents pour la résolution d'équations en physique des milieux granulaires. - Laurent Breton; Jean-Daniel Zucker; Eric Clément (JFIADSMA, 1999)

From Distributed Robot Perception to Human Topology: A Learning Model. - Nicolas Bredèche; Jean-Daniel Zucker (DARS, 2000)

KIDS: An Iterative Algorithm to Organize Relational Knowledge. - Isabelle Bournaud; Mélanie Courtine; Jean-Daniel Zucker (EKAW, 2000)

Solving the Multiple-Instance Problem: A Lazy Learning Approach. - Jun Wang; Jean-Daniel Zucker (ICML, 2000)

Abstraction in Cartographic Generalization. - Sébastien Mustière; Lorenza Saitta; Jean-Daniel Zucker (ISMIS, 2000)

Perception-Based Granularity Levels in Concept Representation. - Lorenza Saitta; Jean-Daniel Zucker (ISMIS, 2000)

A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium. - Laurent Breton; Jean-Daniel Zucker; Eric Clément (MABS, 2000)

Abstractions for Knowledge Organization of Relational Descriptions. - Isabelle Bournaud; Mélanie Courtine; Jean-Daniel Zucker (SARA, 2000)

Abstraction and Phase Transitions in Relational Learning. - Lorenza Saitta; Jean-Daniel Zucker (SARA, 2000)

Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. - Yann Chevaleyre; Jean-Daniel Zucker (AI, 2001)

A Framework for Learning Rules from Multiple Instance Data. - Yann Chevaleyre; Jean-Daniel Zucker (ECML, 2001)

A Model of Abstraction in Visual Perception. - Lorenza Saitta; Jean-Daniel Zucker (Appl. Artif. Intell., 2001)

Propositionalization for Clustering Symbolic Relational Descriptions. - Isabelle Bournaud; Mélanie Courtine; Jean-Daniel Zucker (ILP, 2002)

J'ai dansé avec machine ou comment repenser les rapports entre l'homme et son environnement. - Guillaume Hutzler; Bernard Gortais; Philippe Joly; Yann Orlarey; Jean-Daniel Zucker (JFSMA, 2002)

Multi-agent Patrolling: An Empirical Analysis of Alternative Architectures. - Aydano Machado; Geber L. Ramalho; Jean-Daniel Zucker; Alexis Drogoul (MABS, 2002)

A Wrapper-Based Approach to Robot Learning Concepts from Images. - Nicolas Bredèche; Jean-Daniel Zucker; Yann Chevaleyre (PRICAI, 2002)

Abstracting Visual Percepts to Learn Concepts. - Jean-Daniel Zucker; Nicolas Bredèche; Lorenza Saitta (SARA, 2002)

Speeding up Recommender Systems with Meta-prototypes. - Byron L. D. Bezerra; Francisco de A. T. de Carvalho; Geber L. Ramalho; Jean-Daniel Zucker (SBIA, 2002)

Perceptual Learning and Abstraction in Machine Learning. - Nicolas Bredèche; Zhongzhi Shi; Jean-Daniel Zucker (IEEE ICCI, 2003)

Online learning for object identification by a mobile robot. - Nicolas Bredèche; Jean-Daniel Zucker; Zhongzhi Shi (CIRA, 2003)

A meta-learning approach to ground symbols from visual percepts. - Nicolas Bredèche; Yann Chevaleyre; Jean-Daniel Zucker; Alexis Drogoul; Gérard Sabah (Robotics Auton. Syst., 2003)

Improving classification of microarray data using prototype-based feature selection. - Blaise Hanczar; Mélanie Courtine; Arriel Benis; Corneliu Henegar; Karine Clément; Jean-Daniel Zucker (SIGKDD Explor., 2003)

How to Integrate Heterogeneous Spatial Databases in a Consistent Way? - David Sheeren; Sébastien Mustière; Jean-Daniel Zucker (ADBIS, 2004)

Consistency Assessment Between Multiple Representations of Geographical Databases: a Specification-Based Approach. - David Sheeren; Sébastien Mustière; Jean-Daniel Zucker (SDH, 2004)

Exploiter l'information mutuelle inter-gènes pour réduire la dimension des données biopuces: une approche basée sur la construction automatique d'attributs. - Blaise Hanczar; Jean-Daniel Zucker (CAP, 2005)

An Abstraction-based Machine Learning Approach to Cartographic Generalisation. - Lorenza Saitta; Jean-Daniel Zucker; Sébastien Mustière (IICAI, 2005)

Partitionnement des données pour les problèmes de classement difficiles: Combinaison des cartes topologiques mixtes et SVM. - Mustapha Lebbah; Mohamed Ramzi Temanni; Christine Poitou-Bernert; Karine Clément; Jean-Daniel Zucker (AAFD, 2006)

Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data. - Corneliu Henegar; Karine Clément; Jean-Daniel Zucker (ECML, 2006)

Une approche multi-agent adaptative pour la simulation de schémas tactiques. - Aydano Machado; Yann Chevaleyre; Jean-Daniel Zucker (EGC, 2006)

Clustering Biological Annotations and Gene Expression Data to Identify Putatively Co-regulated Biological Processes. - Corneliu Henegar; Raffaella Cancello; Sophie Rome; Hubert Vidal; Karine Clément; Jean-Daniel Zucker (J. Bioinform. Comput. Biol., 2006)

Perceptual learning and abstraction in machine learning: an application to autonomous robotics. - Nicolas Bredèche; Zhongzhi Shi; Jean-Daniel Zucker (IEEE Trans. Syst. Man Cybern. Syst., 2006)

Combinaison des cartes topologiques mixtes et des machines à vecteurs de support : une application pour la prédiction de perte de poids chez les obèses. - Mohamed Ramzi Temanni; Mustapha Lebbah; Christine Poitou-Bernert; Karine Clément; Jean-Daniel Zucker (EGC, 2007)

DiscoClini : Une méthodologie pour l'extraction de relations linéaires dans des données de génomique médicale. - Arriel Benis; Jean-Daniel Zucker (Actes d'IC, 2007)

Abstraction and Complexity Measures. - Lorenza Saitta; Jean-Daniel Zucker (SARA, 2007)

Feature construction from synergic pairs to improve microarray-based classification. - Blaise Hanczar; Jean-Daniel Zucker; Corneliu Henegar; Lorenza Saitta (Bioinform., 2007)

Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system. - Jean-Baptiste Lamy; Anis Ellini; Vahid Ebrahiminia; Jean-Daniel Zucker; Hector Falcoff; Alain Venot (MIE, 2008)

Experiments with Adaptive Transfer Rate in Reinforcement Learning. - Yann Chevaleyre; Aydano Machado; Jean-Daniel Zucker (PKAW, 2008)

Interactive Learning of Expert Criteria for Rescue Simulations. - Thanh-Quang Chu; Alain Boucher; Alexis Drogoul; Duc-An Vo; Hong-Phuong Nguyen; Jean-Daniel Zucker (PRIMA, 2008)

FunNet: an integrative tool for exploring transcriptional interactions. - Edi Prifti; Jean-Daniel Zucker; Karine Clément; Corneliu Henegar (Bioinform., 2008)

Mining Abstract Highly Correlated Pairs. - Minh Thu Tran Nguyen; François Sempé; Tuong-Vinh Ho; Jean-Daniel Zucker (RIVF, 2009)

Abstracting Complex Interaction Networks. - Lorenza Saitta; Corneliu Henegar; Jean-Daniel Zucker (SARA, 2009)

A data-mining approach for assessing consistency between multiple representations in spatial databases. - David Sheeren; Sébastien Mustière; Jean-Daniel Zucker (Int. J. Geogr. Inf. Sci., 2009)

Interactive Learning of Independent Experts' Criteria for Rescue Simulations. - Thanh-Quang Chu; Alexis Drogoul; Alain Boucher; Jean-Daniel Zucker (J. Univers. Comput. Sci., 2009)

AbsTop-Ka : un algorithme d'extraction de paires abstraites hautement corrélées pour mieux recommander dans "la longue traîne". - Minh Thu Tran Nguyen; François Sempé; Jean-Daniel Zucker (EGC, 2010)

Towards a Methodology for the Participatory Design of Agent-Based Models. - Thanh-Quang Chu; Alexis Drogoul; Alain Boucher; Jean-Daniel Zucker (PRIMA, 2010)

A Modelling Language to Represent and Specify Emerging Structures in Agent-Based Model. - Duc-An Vo; Alexis Drogoul; Jean-Daniel Zucker; Tuong-Vinh Ho (PRIMA, 2010)

Disk Graph-Based Model: A Graph Theoretical Approach for Linking Agent-Based Models and Dynamical Systems. - Ngoc Doanh Nguyen; Thi Ha Duong Phan; Thi Anh Ngoc Nguyen; Alexis Drogoul; Jean-Daniel Zucker (RIVF, 2010)

Interactional and functional centrality in transcriptional co-expression networks. - Edi Prifti; Jean-Daniel Zucker; Karine Clément; Corneliu Henegar (Bioinform., 2010)

Exploring interaction measures to identify informative pairs of genes. - Blaise Hanczar; Corneliu Henegar; Jean-Daniel Zucker (Int. J. Bioinform. Res. Appl., 2010)

Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option. - Malik Sajjad Ahmed Nadeem; Jean-Daniel Zucker; Blaise Hanczar (MLSB, 2010)

A Hybrid Macro-Micro Pedestrians Evacuation Model to Speed Up Simulation in Road Networks. - Thi Anh Ngoc Nguyen; Jean-Daniel Zucker; Nguyen Huu Du; Alexis Drogoul; Duc-An Vo (AAMAS Workshops, 2011)

Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task. - David Dernoncourt; Blaise Hanczar; Jean-Daniel Zucker (BIBE, 2012)

Toward a Spatially-Centered Approach to Integrate Heterogeneous and Multi-scales Urban Component Models. - Inès Hassoumi; Christophe Lang; Nicolas Marilleau; Moncef Temani; Khaled Ghédira; Jean-Daniel Zucker (PAAMS, 2012)

Spatial Estimator of Brown Plant Hopper Density from Light Traps Data. - Vinh Khai Huynh; Jean-Daniel Zucker; Hiep Xuan Huynh 001; Alexis Drogoul (RIVF, 2012)

Which Behavior Is Best in a Fire Evacuation: Simulation with the Metro Supermarket of Hanoi. - Manh Hung Nguyen 001; Tuong-Vinh Ho; Thi Anh Ngoc Nguyen; Jean-Daniel Zucker (RIVF, 2012)

Simulation of Emergency Evacuation of Pedestrians along the Road Networks in Nhatrang City. - Thi Anh Ngoc Nguyen; Jean-Daniel Zucker; Manh Hung Nguyen 001; Alexis Drogoul; Hong-Phuong Nguyen (RIVF, 2012)

An Operational Meta-Model for Handling Multiple Scales in Agent-Based Simulations. - Duc-An Vo; Alexis Drogoul; Jean-Daniel Zucker (RIVF, 2012)

A Simulation Model for Optimise the Fire Evacuation Configuration in the Metro Supermarket of Hanoi. - Manh Hung Nguyen 001; Tuong-Vinh Ho; Jean-Daniel Zucker (SEAL, 2012)

Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami. - Thi Anh Ngoc Nguyen; Yann Chevaleyre; Jean-Daniel Zucker (WETICE, 2012)

GAMA: multi-level and complex environment for agent-based models and simulations. - Alexis Drogoul; Edouard Amouroux; Philippe Caillou; Benoit Gaudou; Arnaud Grignard; Nicolas Marilleau; Patrick Taillandier; Maroussia Vavasseur; Duc-An Vo; Jean-Daniel Zucker (AAMAS, 2013)

A flexible approach to multi-level agent-based simulation with the mesoscopic representation. - Laurent Navarro; Vincent Corruble; Fabien Flacher; Jean-Daniel Zucker (AAMAS, 2013)

Online Analysis and Visualization of Agent Based Models. - Arnaud Grignard; Alexis Drogoul; Jean-Daniel Zucker (ICCSA (1), 2013)

Rounding Methods for Discrete Linear Classification. - Yann Chevaleyre; Frédéric Koriche; Jean-Daniel Zucker (ICML (1), 2013)

Multi-Level Agent-Based Modeling: a Generic Approach and an Implementation. - Duc-An Vo; Alexis Drogoul; Jean-Daniel Zucker (KES-AMSTA, 2013)

Noninvasive Diagnosis of Nonalcoholic Steatohepatitis Disease Based on Clinical Decision Support System. - Nassim Douali; Meriem Abdennour; Magali Sasso; Véronique Miette; Joan Tordjman; Pierre Bedossa; Nicolas Veyrie; Christine Poitou; Judith Aron-Wisnewsky; Karine Clément; Marie-Christine Jaulent; Jean-Daniel Zucker (MedInfo, 2013)

GAMA: A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform. - Alexis Drogoul; Edouard Amouroux; Philippe Caillou; Benoit Gaudou; Arnaud Grignard; Nicolas Marilleau; Patrick Taillandier; Maroussia Vavasseur; Duc-An Vo; Jean-Daniel Zucker (PAAMS, 2013)

A model-view/controller approach to support visualization and online data analysis of Agent-based simulations. - Arnaud Grignard; Alexis Drogoul; Jean-Daniel Zucker (RIVF, 2013)

A grid-based multistage algorithm for parameter simulation-optimization of complex system. - The-Nhan Ho; Nicolas Marilleau; Laurent Philippe 001; Hong-Quang Nguyen; Jean-Daniel Zucker (RIVF, 2013)

Speeding up the evaluation of casualties in multi-agent simulations with Linear Programming application to optimization of sign placement for tsunami evacuation. - Van-Minh Le; Yann Chevaleyre; Jean-Daniel Zucker; Hô Tuòng Vinh (RIVF, 2013)

Complex systems simulation online visual analysis and assessment using dynamic aggregation operators. - Arnaud Grignard; Alexis Drogoul; Jean-Daniel Zucker (SoCPaR, 2013)

Integration of Smoke Effect and Blind Evacuation Strategy (SEBES) within fire evacuation simulation. - Manh Hung Nguyen 001; Tuong-Vinh Ho; Jean-Daniel Zucker (Simul. Model. Pract. Theory, 2013)

Stability of Ensemble Feature Selection on High-Dimension and Low-Sample Size Data - Influence of the Aggregation Method. - David Dernoncourt; Blaise Hanczar; Jean-Daniel Zucker (ICPRAM, 2014)

Approaches to Optimize Local Evacuation Maps for Helping Evacuation in Case of Tsunami. - Van-Minh Le; Yann Chevaleyre; Jean-Daniel Zucker; Tuong-Vinh Ho (ISCRAM-med, 2014)

Analysis of feature selection stability on high dimension and small sample data. - David Dernoncourt; Blaise Hanczar; Jean-Daniel Zucker (Comput. Stat. Data Anal., 2014)

Continuous and Discrete Deep Classifiers for Data Integration. - Nataliya Sokolovska; Salwa Rizkalla; Karine Clément; Jean-Daniel Zucker (IDA, 2015)

Approximate regret based elicitation in Markov decision process. - Pegah Alizadeh; Yann Chevaleyre; Jean-Daniel Zucker (RIVF, 2015)

Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation. - Van-Minh Le; Yann Chevaleyre; Hô Tuòng Vinh; Jean-Daniel Zucker (RIVF, 2015)

Experimental analysis of new algorithms for learning ternary classifiers. - Jean-Daniel Zucker; Yann Chevaleyre; Dao Van Sang (RIVF, 2015)

Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction. - Nataliya Sokolovska; Nguyen Thanh Hai 001; Karine Clément; Jean-Daniel Zucker (IJCNN, 2016)

Causality analysis between climatic factors and dengue fever using the Granger causality. - Pham Nguyen Hoang; Jean-Daniel Zucker; Marc Choisy; Hô Tuòng Vinh (RIVF, 2016)

Quantifying the effect of synchrony on the persistence of infectious diseases in a metapopulation. - Cam-Giang Tran-Thi; Marc Choisy; Jean-Daniel Zucker (RIVF, 2016)

Spectral consensus strategy for accurate reconstruction of large biological networks. - Séverine Affeldt; Nataliya Sokolovska; Edi Prifti; Jean-Daniel Zucker (BMC Bioinform., 2016)

Deep kernel dimensionality reduction for scalable data integration. - Nataliya Sokolovska; Karine Clément; Jean-Daniel Zucker (Int. J. Approx. Reason., 2016)

Quantifying the Effect of Metapopulation Size on the Persistence of Infectious Diseases in a Metapopulation. - Cam-Giang Tran-Thi; Marc Choisy; Jean-Daniel Zucker (ACIIDS (2), 2017)

Deterministic convection-diffusion approach for modeling cell motion and spatial organization: Experimentation on avascular tumor growth. - Cheikhou Oumar Ka; Jean Marie Dembele; Christophe Cambier; Serge Stinckwich; Moussa Lo; Jean-Daniel Zucker (BIBM, 2017)

Efficient global network learning from local reconstructions. - Séverine Affeldt; Nataliya Sokolovska; Edi Prifti; Jean-Daniel Zucker (IJCNN, 2017)

The fused lasso penalty for learning interpretable medical scoring systems. - Nataliya Sokolovska; Yann Chevaleyre; Karine Clément; Jean-Daniel Zucker (IJCNN, 2017)

Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks. - Thanh Hai Nguyen 001; Yann Chevaleyre; Edi Prifti; Nataliya Sokolovska; Jean-Daniel Zucker (CoRR, 2017)

A Provable Algorithm for Learning Interpretable Scoring Systems. - Nataliya Sokolovska; Yann Chevaleyre; Jean-Daniel Zucker (AISTATS, 2018)

Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization. - Nataliya Sokolovska; Yann Chevaleyre; Jean-Daniel Zucker (MLDM (1), 2018)

A Semi-supervised Approach to Discover Bivariate Causality in Large Biological Data. - Nataliya Sokolovska; Olga Permiakova; Sofia K. Forslund; Jean-Daniel Zucker (MLDM (1), 2018)

Disease Classification in Metagenomics with 2D Embeddings and Deep Learning. - Thanh Hai Nguyen 001; Edi Prifti; Yann Chevaleyre; Nataliya Sokolovska; Jean-Daniel Zucker (CoRR, 2018)

An approach to optimizing abstaining area for small sample data classification. - Blaise Hanczar; Jean-Daniel Zucker (Expert Syst. Appl., 2018)

Enhancing Metagenome-based Disease Prediction by Unsupervised Binning Approaches. - Thanh Hai Nguyen 001; Jean-Daniel Zucker (KSE, 2019)

Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks. - Thanh Hai Nguyen 001; Edi Prifti; Nataliya Sokolovska; Jean-Daniel Zucker (RIVF, 2019)

QMSpy: An Integrated Modular and Scalable Platform for Quantitative Metagenomics in Pyspark. - Ari Ugarte; Minh Quang-Dao; Bich Hai Ho; Chloe Vigliotti; Eugeni Belda; Jean-Daniel Zucker; Edi Prifti (RIVF, 2019)

Revealing causality between heterogeneous data sources with deep restricted Boltzmann machines. - Nataliya Sokolovska; Karine Clément; Jean-Daniel Zucker (Inf. Fusion, 2019)

Learning Interpretable Models using Soft Integrity Constraints. - Khaled Belahcène; Nataliya Sokolovska; Yann Chevaleyre; Jean-Daniel Zucker (ACML, 2020)

Q-Finder: An Algorithm for Credible Subgroup Discovery in Clinical Data Analysis - An Application to the International Diabetes Management Practice Study. - Cyril Esnault; May-Line Gadonna; Maxence Queyrel; Alexandre Templier; Jean-Daniel Zucker (Frontiers Artif. Intell., 2020)

Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines. - Nataliya Sokolovska; Olga Permiakova; Sofia K. Forslund; Jean-Daniel Zucker (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Identifying actionable customer behavior through advanced analysis of bank transaction data. - Anna Nesvijevskaia; Vincent Martenot; Paul Fogel; Jean-Daniel Zucker (CSCI, 2021)

Reject and Cascade Classifier with Subgroup Discovery for Interpretable Metagenomic Signatures. - Maxence Queyrel; Alexandre Templier; Jean-Daniel Zucker (PKDD/ECML Workshops (1), 2021)

Qluster: An easy-to-implement generic workflow for robust clustering of health data. - Cyril Esnault; Melissa Rollot; Pauline Guilmin; Jean-Daniel Zucker (Frontiers Artif. Intell., 2022)

Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations. - Kevin Chapuis; Pham Minh Duc; Arthur Brugière; Jean-Daniel Zucker; Alexis Drogoul; Pierrick Tranouez; Éric Daudé; Patrick Taillandier (Int. J. Geogr. Inf. Sci., 2022)

LiSA: an assisted literature search pipeline for detecting serious adverse drug events with deep learning. - Vincent Martenot; Valentin Masdeu; Jean Cupe; Faustine Gehin; Margot Blanchon; Julien Dauriat; Alexander Horst; Michael Renaudin; Philippe Girard; Jean-Daniel Zucker (BMC Medical Informatics Decis. Mak., 2022)

AliBERT: A Pre-trained Language Model for French Biomedical Text. - Aman Berhe; Guillaume Draznieks; Vincent Martenot; Valentin Masdeu; Lucas Davy; Jean-Daniel Zucker (BioNLP@ACL, 2023)

Identification of Non-Plant Elements in Herbarium Images Using YOLO. - Youcef Sklab; Hanane Ariouat; Edi Prifti; Jean-Daniel Zucker; Eric Chenin (CARI, 2024)

Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism. - Hanane Ariouat; Youcef Sklab; Marc Pignal; Florian Jabbour; Régine Vignes-Lebbe; Edi Prifti; Jean-Daniel Zucker; Eric Chenin (PAKDD (2), 2024)

ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms. - Alex Lence; Ahmad Fall; Samuel David Cohen; Federica Granese; Jean-Daniel Zucker; Joe-Elie Salem; Edi Prifti (CoRR, 2024)

A Text-to-tabular Approach to Generate Synthetic Patient Data using LLMs. - Margaux Törnqvist; Jean-Daniel Zucker; Tristan Fauvel; Nicolas Lambert; Mathilde Berthelot; Antoine Movschin (ICHI, 2025)

ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion. - Alex Lence; Federica Granese; Ahmad Fall; Blaise Hanczar; Joe-Elie Salem; Jean-Daniel Zucker; Edi Prifti (KDD (1), 2025)

SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds From RGB Images for 2D Classification. - Youcef Sklab; Hanane Ariouat; Eric Chenin; Edi Prifti; Jean-Daniel Zucker (IET Comput. Vis., 2025)

Prompting ChatGPT for Chinese Learning as L2: A CEFR and EBCL Level Study. - Miao Lin-Zucker; Joël Bellassen; Jean-Daniel Zucker (CoRR, 2025)

IKrNet: A Neural Network for Detecting Specific Drug-Induced Patterns in Electrocardiograms Amidst Physiological Variability. - Ahmad Fall; Federica Granese; Alex Lence; Dominique Fourer; Blaise Hanczar; Joe-Elie Salem; Jean-Daniel Zucker; Edi Prifti (CoRR, 2025)

PlantSAM: An Object Detection-Driven Segmentation Pipeline for Herbarium Specimens. - Youcef Sklab; Florian Castanet; Hanane Ariouat; Souhila Arib; Jean-Daniel Zucker; Eric Chenin; Edi Prifti (CoRR, 2025)

Integrating LLM in Agent-Based Social Simulation: Opportunities and Challenges. - Patrick Taillandier; Jean-Daniel Zucker; Arnaud Grignard; Benoit Gaudou; Nghi Quang Huynh; Alexis Drogoul (CoRR, 2025)