Jean-Daniel Zucker

发表

Representation Changes for Efficient Learning in Structural Domains

Jean-Gabriel Ganascia, Jean-Daniel Zucker, Jean-Daniel Zucker, 1996, ICML.

An approach to optimizing abstaining area for small sample data classification

Blaise Hanczar, Jean-Daniel Zucker, Jean-Daniel Zucker, 2018, Expert Syst. Appl..

An Abstraction-based Machine Learning Approach to Cartographic Generalisation

Jean-Daniel Zucker, Lorenza Saitta, Sébastien Mustière, 2005, IICAI.

DiscoClini : Une méthodologie pour l'extraction de relations linéaires dans des données de génomique médicale

Jean-Daniel Zucker, Arriel Benis, 2007, Actes d'IC.

A Provable Algorithm for Learning Interpretable Scoring Systems

Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker, 2018, AISTATS.

Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system

Jean-Daniel Zucker, Hector Falcoff, Jean-Baptiste Lamy, 2008, MIE.

Identifying the effects of Brown Plant Hopper (BPH) based on rice images

Hiep Xuan Huynh, Muriel Visani, Jean-Daniel Zucker, 2013 .

A Modelling Language to Represent and Specify Emerging Structures in Agent-Based Model

Alexis Drogoul, Jean-Daniel Zucker, Hô Tuòng Vinh, 2010, PRIMA.

An Operational Meta-Model for Handling Multiple Scales in Agent-Based Simulations

Alexis Drogoul, Jean-Daniel Zucker, Duc-An Vo, 2012, 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future.

Hybrid Equation-based and Agent-based Modeling of Crowd Evacuation on Road Network

Alexis Drogoul, Jean-Daniel Zucker, Thi Ngoc Anh Nguyen, 2011 .

AbsTop-Ka : un algorithme d'extraction de paires abstraites hautement corrélées pour mieux recommander dans "la longue traîne"

François Sempé, Jean-Daniel Zucker, Minh Thu Tran Nguyen, 2010, EGC.

A model of abstraction in visual perception

Jean-Daniel Zucker, Lorenza Saitta, Jean-Daniel Zucker, 2001, Appl. Artif. Intell..

Speeding up Recommender Systems with Meta-prototypes

Byron L. D. Bezerra, Francisco de A. T. de Carvalho, Jean-Daniel Zucker, 2002, SBIA.

Abstraction in Machine Learning

Jean-Daniel Zucker, Lorenza Saitta, 2013 .

Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task

Blaise Hanczar, Jean-Daniel Zucker, David Dernoncourt, 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

KIDS: An Iterative Algorithm to Organize Relational Knowledge

Jean-Daniel Zucker, Isabelle Bournaud, Mélanie Courtine, 2000, EKAW.

Learning Strategies in Games by Anticipation

Jean-Gabriel Ganascia, Jean-Daniel Zucker, Christophe Meyer, 1997, IJCAI.

Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks pdf

Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker, 2017, ArXiv.

Abstractions for Knowledge Organization of Relational Descriptions

Jean-Daniel Zucker, Isabelle Bournaud, Mélanie Courtine, 2000, SARA.

Disk Graph-Based Model: A Graph Theoretical Approach for Linking Agent-Based Models and Dynamical Systems

Alexis Drogoul, Jean-Daniel Zucker, Thi Ha Duong Phan, 2010, RIVF.

How to Integrate Heterogeneous Spatial Databases in a Consistent Way?

Jean-Daniel Zucker, Sébastien Mustière, David Sheeren, 2004, ADBIS.

Multi-Level Agent-Based Modeling: a Generic Approach and an Implementation

Alexis Drogoul, Jean-Daniel Zucker, Duc-An Vo, 2013, KES-AMSTA.

Approximate regret based elicitation in Markov decision process

Yann Chevaleyre, Pegah Alizadeh, Jean-Daniel Zucker, 2015, The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

Rescuing Public Health Data

Jean-Daniel Zucker, Marc Choisy, Philavanh Sitboulang, 2015 .

Solving the Multiple-Instance Problem: A Lazy Learning Approach

Jun Wang, Jean-Daniel Zucker, Jean-Daniel Zucker, 2000, ICML.

Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem

Yann Chevaleyre, Jean-Daniel Zucker, Jean-Daniel Zucker, 2001, Canadian Conference on AI.

Keynote Speach RIVF 2013! Machine Learning Challenges in Metagenomics

Jean-Daniel Zucker, 2013 .

Consistency Assessment Between Multiple Representations of Geographical Databases: a Specification-Based Approach

Jean-Daniel Zucker, Sébastien Mustière, David Sheeren, 2004, SDH.

Reformulation of Examples in Concept Learning of Structural Descriptions

Jean-Daniel Zucker, 1995, AI*IA.

QMSpy: An Integrated Modular and Scalable Platform for Quantitative Metagenomics in Pyspark

Jean-Daniel Zucker, Bich Hai Ho, Eugeni Belda, 2019, 2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF).

A meta-learning approach to ground symbols from visual percepts

Yann Chevaleyre, Alexis Drogoul, Jean-Daniel Zucker, 2003, Robotics Auton. Syst..

FunNet: an integrative tool for exploring transcriptional interactions

Jean-Daniel Zucker, Edi Prifti, Karine Clément, 2008, Bioinform..

A data‐mining approach for assessing consistency between multiple representations in spatial databases

Jean-Daniel Zucker, Sébastien Mustière, David Sheeren, 2009, Int. J. Geogr. Inf. Sci..

A hybrid macro-micro pedestrians evacuation model to speed up simulation in road networks

Alexis Drogoul, Jean-Daniel Zucker, Nguyen Huu Du, 2011, AAMAS'11.

The Ecosystem in Practice: Interest and Problems of an Old Definition for Constructing Ecological Models

Jean-Daniel Zucker, Ian D. Davies, Jacques Gignoux, 2011, Ecosystems.

Efficient global network learning from local reconstructions

Nataliya Sokolovska, Jean-Daniel Zucker, Séverine Affeldt, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation

Yann Chevaleyre, Jean-Daniel Zucker, Hô Tuòng Vinh, 2015, The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

Mesoscopic Level: A New Representation Level for Large Scale Agent-Based Simulations

Laurent Navarro, Jean-Daniel Zucker, Vincent Corruble, 2012 .

Experiments with Adaptive Transfer Rate in Reinforcement Learning

Yann Chevaleyre, Jean-Daniel Zucker, Aydano Machado, 2008, PKAW.

Deterministic convection-diffusion approach for modeling cell motion and spatial organization: Experimentation on avascular tumor growth

Moussa Lo, Jean-Daniel Zucker, Serge Stinckwich, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Interpretable and accurate prediction models for metagenomics data

Jean-Daniel Zucker, Antoine Danchin, Blaise Hanczar, 2020, GigaScience.

A Meta-CASE Environment for Software Process-Centred CASE Environments

Flávio Oquendo, Jean-Daniel Zucker, Philip Griffiths, 1992, CAiSE.

Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines

Nataliya Sokolovska, Jean-Daniel Zucker, Sofia K. Forslund, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Testing Methods for Decision Support Systems

Jean-Daniel Zucker, Jean-Baptiste Lamy, Alain Venot, 2010 .

Integrating Machine Learning Techniques in a Guided Discovery Tutoring Environment: MEMOCAR

Jean-Daniel Zucker, 2007 .

Une approche multi-agent adaptative pour la simulation de schémas tactiques

Yann Chevaleyre, Jean-Daniel Zucker, Aydano Machado, 2006, EGC.

Disease Classification in Metagenomics with 2D Embeddings and Deep Learning pdf

Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker, 2018, ArXiv.

Interpretable and accurate prediction models for metagenomics data

Yann Chevaleyre, Blaise Hanczar, Jean-Daniel Zucker, 2018, bioRxiv.

Revealing causality between heterogeneous data sources with deep restricted Boltzmann machines

Nataliya Sokolovska, Jean-Daniel Zucker, Karine Clément, 2019, Inf. Fusion.

Feature construction from synergic pairs to improve microarray-based classification

Blaise Hanczar, Jean-Daniel Zucker, Lorenza Saitta, 2007, Bioinform..

Which Behavior Is Best in a Fire Evacuation: Simulation with the Metro Supermarket of Hanoi

Jean-Daniel Zucker, Hô Tuòng Vinh, Manh Hung Nguyen, 2012, 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future.

Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization

Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker, 2018, MLDM.

From Distributed Robot Perception to Human Topology: A Learning Model

Jean-Daniel Zucker, Nicolas Bredèche, 2000, DARS.

Semantic Abstraction for Concept Representation and Learning

Jean-Daniel Zucker, Jean-Daniel Zucker, 2001 .

Towards a Methodology for the Participatory Design of Agent-Based Models

Alexis Drogoul, Jean-Daniel Zucker, Alain Boucher, 2010, PRIMA.

Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami

Yann Chevaleyre, Jean-Daniel Zucker, Thi Anh Ngoc Nguyen, 2012, 2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises.

Abstraction Operators and Design Patterns

Jean-Daniel Zucker, Lorenza Saitta, 2013 .

Preference-based Search and Machine Learning for Collaborative Filtering: the "Film-Conseil" Movie Recommender System

Patrice Perny, Jean-Daniel Zucker, Jean-Daniel Zucker, 2001 .

Abstraction in Cartographic Generalization

Jean-Daniel Zucker, Lorenza Saitta, Sébastien Mustière, 2000, ISMIS.

A Semi-supervised Approach to Discover Bivariate Causality in Large Biological Data

Nataliya Sokolovska, Jean-Daniel Zucker, Sofia K. Forslund, 2018, MLDM.

Approaches to Optimize Local Evacuation Maps for Helping Evacuation in Case of Tsunami

Yann Chevaleyre, Jean-Daniel Zucker, Hô Tuòng Vinh, 2014, ISCRAM-med.

A grid-based multistage algorithm for parameter simulation-optimization of complex system

Laurent Philippe, Jean-Daniel Zucker, Nicolas Marilleau, 2013, The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

Experimental analysis of new algorithms for learning ternary classifiers

Yann Chevaleyre, Jean-Daniel Zucker, Dao Van Sang, 2015, The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

Partitionnement des données pour les problèmes de classement difficiles: Combinaison des cartes topologiques mixtes et SVM

Mustapha Lebbah, Jean-Daniel Zucker, Mohamed Ramzi Temanni, 2006, AAFD.

Exploring interaction measures to identify informative pairs of genes

Blaise Hanczar, Jean-Daniel Zucker, Corneliu Henegar, 2010, Int. J. Bioinform. Res. Appl..

Selective Reformulation of Examples in Concept Learning

Jean-Gabriel Ganascia, Jean-Daniel Zucker, Jean-Daniel Zucker, 1994, ICML.

J'ai dansé avec machine ou comment repenser les rapports entre l'homme et son environnement

Guillaume Hutzler, Jean-Daniel Zucker, Philippe Joly, 2002, JFSMA.

A flexible approach to multi-level agent-based simulation with the mesoscopic representation

Laurent Navarro, Jean-Daniel Zucker, Vincent Corruble, 2013, AAMAS.

Une approche multi-agents pour la résolution d'équations en physique des milieux granulaires

Jean-Daniel Zucker, Laurent Breton, Eric Clément, 1999, JFIADSMA.

Deep kernel dimensionality reduction for scalable data integration

Nataliya Sokolovska, Jean-Daniel Zucker, Karine Clément, 2016, Int. J. Approx. Reason..

Learning Rules from Multiple Instance Data: Issues and Algorithms

Yann Chevaleyre, Jean-Daniel Zucker, Jean-Daniel Zucker, 2001 .

Propositionalization for Clustering Symbolic Relational Descriptions

Jean-Daniel Zucker, Isabelle Bournaud, Mélanie Courtine, 2002, ILP.

Spectral consensus strategy for accurate reconstruction of large biological networks

Nataliya Sokolovska, Jean-Daniel Zucker, Séverine Affeldt, 2016, BMC Bioinformatics.

Improving classification of microarray data using prototype-based feature selection

Blaise Hanczar, Jean-Daniel Zucker, Arriel Benis, 2003, SKDD.

Boundaries of Abstraction

Jean-Daniel Zucker, Lorenza Saitta, 2013 .

Integration of Smoke Effect and Blind Evacuation Strategy (SEBES) within fire evacuation simulation

Jean-Daniel Zucker, Hô Tuòng Vinh, Manh Hung Nguyen, 2013, Simul. Model. Pract. Theory.

Solving multiple-instance and multiple-part learning problems with decision trees and decision rules . Application to the mutagenesis problem

Yann Chevaleyre, Jean-Daniel Zucker, Jean-Daniel Zucker, 2000 .

Toward a Spatially-Centered Approach to Integrate Heterogeneous and Multi-scales Urban Component Models

Khaled Ghédira, Jean-Daniel Zucker, Christophe Lang, 2012, PAAMS.

Properties of the \mathcal{KRA } Model

Jean-Daniel Zucker, Lorenza Saitta, 2013 .

Spatial Estimator of Brown Plant Hopper Density from Light Traps Data

Hiep Xuan Huynh, Alexis Drogoul, Jean-Daniel Zucker, 2012, 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future.

The fused lasso penalty for learning interpretable medical scoring systems

Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Abstraction, Reformulation and Approximation, 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005, Proceedings

Jean-Daniel Zucker, Lorenza Saitta, Sara, 2005, SARA.

Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option

Blaise Hanczar, Jean-Daniel Zucker, Malik Sajjad Ahmed Nadeem, 2009, MLSB.

Abstraction and Phase Transitions in Relational Learning

Jean-Daniel Zucker, Lorenza Saitta, 2000, SARA.

Learning Structurally Indeterminate Clauses

Jean-Gabriel Ganascia, Jean-Daniel Zucker, Jean-Daniel Zucker, 1998, ILP.

Online learning for object identification by a mobile robot

Zhongzhi Shi, Jean-Daniel Zucker, Nicolas Bredèche, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

Reinforcement learning approach for adapting complex agent-based model of evacuation to fast linear model

Jean-Daniel Zucker, Hô Tuòng Vinh, Ho Tuong Vinh, 2017, 2017 Seventh International Conference on Information Science and Technology (ICIST).

A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium

Jean-Daniel Zucker, Laurent Breton, Eric Clément, 2000, MABS.

Continuous and Discrete Deep Classifiers for Data Integration

Nataliya Sokolovska, Jean-Daniel Zucker, Karine Clément, 2015, IDA.

GAMA: A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform

Benoit Gaudou, Patrick Taillandier, Alexis Drogoul, 2013, PAAMS.

Abstraction and Complexity Measures

Jean-Daniel Zucker, Lorenza Saitta, Jean-Daniel Zucker, 2007, SARA.

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, 2005, CAP.

Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation

Jean-Daniel Zucker, Lorenza Saitta, Jean-Daniel Zucker, 2005 .

DICE: A Discovery Environment Integrating Inductive Bias

J. Thomas, Jean-Daniel Zucker, Vincent Corruble, 1994, KDD Workshop.

Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data

Jean-Daniel Zucker, Karine Clément, Corneliu Henegar, 2006, ECML.

Enhancing Metagenome-based Disease Prediction by Unsupervised Binning Approaches

Jean-Daniel Zucker, Thanh Hai Nguyen, Jean-Daniel Zucker, 2019, 2019 11th International Conference on Knowledge and Systems Engineering (KSE).

Clustering Biological Annotations and Gene Expression Data to Identify Putatively Co-regulated Biological Processes

Jean-Daniel Zucker, Sophie Rome, Karine Clément, 2006, J. Bioinform. Comput. Biol..

The $$\mathcal{ }$$ Model

Jean-Daniel Zucker, Lorenza Saitta, 2013 .

Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks

Nataliya Sokolovska, Jean-Daniel Zucker, Thanh Hai Nguyen, 2019, 2019 IEEE-RIVF International Conference on Computing and Communication Technologies (RIVF).

Causality analysis between climatic factors and dengue fever using the Granger causality

Jean-Daniel Zucker, Hô Tuòng Vinh, Marc Choisy, 2016, 2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF).

Proceedings of the 16th International Conference on Information Systems for Crisis Response and Management, València, Spain, May 19-22, 2019

Benoit Gaudou, Alexis Drogoul, Jianguo, 2019, ISCRAM.

Perception-Based Granularity Levels in Concept Representation

Jean-Daniel Zucker, Lorenza Saitta, 2000, ISMIS.

Rounding Methods for Discrete Linear Classification

Yann Chevaleyre, Jean-Daniel Zucker, Frédéric Koriche, 2013, ICML.

Abstracting Complex Interaction Networks

Jean-Daniel Zucker, Lorenza Saitta, Corneliu Henegar, 2009, SARA.

Online Analysis and Visualization of Agent Based Models

Alexis Drogoul, Jean-Daniel Zucker, Arnaud Grignard, 2013, ICCSA.

Stability of Ensemble Feature Selection on High-Dimension and Low-Sample Size Data - Influence of the Aggregation Method

Blaise Hanczar, Jean-Daniel Zucker, David Dernoncourt, 2014, ICPRAM.

Simulation of Emergency Evacuation of Pedestrians along the Road Networks in Nhatrang City

Alexis Drogoul, Jean-Daniel Zucker, Manh Hung Nguyen, 2012, 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future.

Abstraction in Artificial Intelligence and Complex Systems

Jean-Daniel Zucker, Lorenza Saitta, Jean-Daniel Zucker, 2013, Springer New York.

A logical framework for fuzzy collaborative filtering

Patrice Perny, Jean-Daniel Zucker, P. Avesani, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

Noninvasive Diagnosis of Nonalcoholic Steatohepatitis Disease Based on Clinical Decision Support System

Marie-Christine Jaulent, Jean-Daniel Zucker, Nassim Douali, 2013, MedInfo.

GAMA: multi-level and complex environment for agent-based models and simulations

Benoit Gaudou, Patrick Taillandier, Alexis Drogoul, 2013, AAMAS.

Analysis of feature selection stability on high dimension and small sample data

Blaise Hanczar, Jean-Daniel Zucker, David Dernoncourt, 2014, Comput. Stat. Data Anal..

Interactive Learning of Independent Experts' Criteria for Rescue Simulations

Alexis Drogoul, Jean-Daniel Zucker, Alain Boucher, 2009, J. Univers. Comput. Sci..

Abstraction in Artificial Intelligence

Jean-Daniel Zucker, Lorenza Saitta, 2013 .

Quantifying the effect of synchrony on the persistence of infectious diseases in a metapopulation

Jean-Daniel Zucker, Marc Choisy, Cam-Giang Tran-Thi, 2016, 2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF).

Speeding up the evaluation of casualties in multi-agent simulations with Linear Programming application to optimization of sign placement for tsunami evacuation

Yann Chevaleyre, Jean-Daniel Zucker, Hô Tuòng Vinh, 2013, The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

Perceptual learning and abstraction in machine learning

Zhongzhi Shi, Jean-Daniel Zucker, Nicolas Bredèche, 2003, The Second IEEE International Conference on Cognitive Informatics, 2003. Proceedings..

Methodological Issues for Designing Multi-Agent Systems with Machine Learning Techniques: Capitalizing Experiences from the RoboCup Challenge

Alexis Drogoul, Jean-Daniel Zucker, Jean-Daniel Zucker, 1998 .

Interactional and functional centrality in transcriptional co-expression networks

Jean-Daniel Zucker, Edi Prifti, Karine Clément, 2010, Bioinform..

Abstracting Visual Percepts to Learn Concepts

Jean-Daniel Zucker, Lorenza Saitta, Nicolas Bredèche, 2002, SARA.

Case Studies and Applications

Jean-Daniel Zucker, Lorenza Saitta, 2013 .

Learning Abstraction and Representation Knowledge: an Application to Cartographic Generalisation

Jean-Daniel Zucker, Lorenza Saitta, Sébastien Mustière, 2000 .

Relational Knowledge Discovery in a Chinese Character Database

Jean-Gabriel Ganascia, Jean-Daniel Zucker, Isabelle Bournaud, 1998, Appl. Artif. Intell..

Quantifying the Effect of Metapopulation Size on the Persistence of Infectious Diseases in a Metapopulation

Jean-Daniel Zucker, Marc Choisy, Cam-Giang Tran-Thi, 2017, ACIIDS.

Deterministic Convection-Diffusion Approach for Modeling Cell Motion and Spatial Organization: Experimentation on Avascular Tumor Growth

Moussa Lo, Jean-Daniel Zucker, Cheikhou Oumar Ka, 2017, 2017 International Conference on Computational Science and Computational Intelligence (CSCI).

A Simulation Model for Optimise the Fire Evacuation Configuration in the Metro Supermarket of Hanoi

Jean-Daniel Zucker, Hô Tuòng Vinh, Manh Hung Nguyen, 2012, SEAL.

A Wrapper-Based Approach to Robot Learning Concepts from Images

Yann Chevaleyre, Jean-Daniel Zucker, Nicolas Bredèche, 2002, PRICAI.

Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction

Nataliya Sokolovska, Jean-Daniel Zucker, Nguyen Thanh Hai, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A grounded theory of abstraction in artificial intelligence.

Jean-Daniel Zucker, Jean-Daniel Zucker, 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

Mining Abstract Highly Correlated Pairs

François Sempé, Jean-Daniel Zucker, Hô Tuòng Vinh, 2009, 2009 IEEE-RIVF International Conference on Computing and Communication Technologies.

Deterministic Convection-Diffusion Approach for Modeling Cell Motion and Spatial Organization: Experimentation on Avascular Tumor Growth

Moussa Lo, Jean-Daniel Zucker, Cheikhou Oumar Ka, 2017 .

Interactive Learning of Expert Criteria for Rescue Simulations

Alexis Drogoul, Jean-Daniel Zucker, Duc-An Vo, 2008, PRIMA.

Labeling for a learning mobile robot

Jean-Daniel Zucker, Nicolas Bred, Paris Sud, 2001 .

Combinaison des cartes topologiques mixtes et des machines à vecteurs de support : une application pour la prédiction de perte de poids chez les obèses

Mustapha Lebbah, Jean-Daniel Zucker, Mohamed Ramzi Temanni, 2007, EGC.

A model-view/controller approach to support visualization and online data analysis of Agent-based simulations

Alexis Drogoul, Jean-Daniel Zucker, Arnaud Grignard, 2013, The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF).

A Framework for Learning Rules from Multiple Instance Data

Yann Chevaleyre, Jean-Daniel Zucker, 2001, ECML.

Cartographic generalization as a combination of representing and abstracting knowledge

Jean-Daniel Zucker, Lorenza Saitta, Sébastien Mustière, 1999, GIS '99.

Multi-agent Patrolling: An Empirical Analysis of Alternative Architectures

Alexis Drogoul, Jean-Daniel Zucker, Geber Ramalho, 2002, MABS.

Complex systems simulation online visual analysis and assessment using dynamic aggregation operators

Alexis Drogoul, Jean-Daniel Zucker, Arnaud Grignard, 2013, 2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR).

Definitions of Abstraction

Jean-Daniel Zucker, Lorenza Saitta, 2013 .

Cathepsin S, a novel biomarker of adiposity: relevance to atherogenesis

Jean-Daniel Zucker, Arriel Benis, Nathalie Viguerie, 2005, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

Formalization of Clinical Practice Guidelines: Nonalcoholic Steatohepatitis Diagnosis Model-Related Personalized Medicine

Marie-Christine Jaulent, Jean-Daniel Zucker, Nassim Douali, 2014 .

Horizons in nutritional science : The case for strategic international alliances to harness nutritional genomics for public and personal health.

Jean-Daniel Zucker, Peter Morgan, Berthold Koletzko, 2005 .

Fibrosis in Human Adipose Tissue: Composition, Distribution, and Link With Lipid Metabolism and Fat Mass Loss

Jean-Daniel Zucker, Joan Tordjman, Pierre Bedossa, 2010, Diabetes.

Learning linear classifiers with ternary weights from Metagenomic Data

Yann Chevaleyre, Jean-Daniel Zucker, Frederic Koriche, 2012 .

Reduction of macrophage infiltration and chemoattractant gene expression changes in white adipose tissue of morbidly obese subjects after surgery-induced weight loss.

Jean-Daniel Zucker, Nathalie Viguerie, Dominique Langin, 2005, Diabetes.

From Individual Choice to Group Decision Making

Jean-Daniel Zucker, Serge Galam, Jean-Daniel Zucker, 2000 .