Jean-Daniel Zucker

Alexis Drogoul, Edouard Amouroux, Philippe Caillou, Benoit Gaudou, Arnaud Grignard, Nicolas Marilleau, Patrick Taillandier, Maroussia Vavasseur, Duc-An Vo, Jean-Daniel Zucker: GAMA: A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform. PAAMS 2013: 271-274

David Dernoncourt, Blaise Hanczar, Jean-Daniel Zucker: Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task. BIBE 2012: 350-355

Inès Hassoumi, Christophe Lang, Nicolas Marilleau, Moncef Temani, Khaled Ghédira, Jean-Daniel Zucker: Toward a Spatially-Centered Approach to Integrate Heterogeneous and Multi-scales Urban Component Models. PAAMS 2012: 81-86

Vinh Khai Huynh, Jean-Daniel Zucker, Hiep Xuan Huynh, Alexis Drogoul: Spatial Estimator of Brown Plant Hopper Density from Light Traps Data. RIVF 2012: 1-6

Manh Hung Nguyen, Tuong-Vinh Ho, Thi Anh Ngoc Nguyen, Jean-Daniel Zucker: Which Behavior Is Best in a Fire Evacuation: Simulation with the Metro Supermarket of Hanoi. RIVF 2012: 1-6

Thi Anh Ngoc Nguyen, Jean-Daniel Zucker, Manh Hung Nguyen, Alexis Drogoul, Hong-Phuong Nguyen: Simulation of Emergency Evacuation of Pedestrians along the Road Networks in Nhatrang City. RIVF 2012: 1-6

Duc-An Vo, Alexis Drogoul, Jean-Daniel Zucker: An Operational Meta-Model for Handling Multiple Scales in Agent-Based Simulations. RIVF 2012: 1-6

Manh Hung Nguyen, Tuong-Vinh Ho, Jean-Daniel Zucker: A Simulation Model for Optimise the Fire Evacuation Configuration in the Metro Supermarket of Hanoi. SEAL 2012: 470-479

Thi Anh Ngoc Nguyen, Yann Chevaleyre, Jean-Daniel Zucker: Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami. WETICE 2012: 394-396

Thi Anh Ngoc Nguyen, Jean-Daniel Zucker, Nguyen Huu Du, Alexis Drogoul, Duc-An Vo: A Hybrid Macro-Micro Pedestrians Evacuation Model to Speed Up Simulation in Road Networks. AAMAS Workshops 2011: 371-383

Edi Prifti, Jean-Daniel Zucker, Karine Clément, Corneliu Henegar: Interactional and functional centrality in transcriptional co-expression networks. Bioinformatics 26(24): 3083-3089 (2010)

Blaise Hanczar, Corneliu Henegar, Jean-Daniel Zucker: Exploring interaction measures to identify informative pairs of genes. IJBRA 6(6): 628-642 (2010)

Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Blaise Hanczar: Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option. Journal of Machine Learning Research - Proceedings Track 8: 65-81 (2010)

Minh Thu Tran Nguyen, François Sempé, Jean-Daniel Zucker: AbsTop-Ka : un algorithme d'extraction de paires abstraites hautement corrélées pour mieux recommander dans "la longue traîne". EGC 2010: 689-690

Duc-An Vo, Alexis Drogoul, Jean-Daniel Zucker, Tuong-Vinh Ho: A Modelling Language to Represent and Specify Emerging Structures in Agent-Based Model. PRIMA 2010: 212-227

Thanh-Quang Chu, Alexis Drogoul, Alain Boucher, Jean-Daniel Zucker: Towards a Methodology for the Participatory Design of Agent-Based Models. PRIMA 2010: 428-442

Ngoc Doanh Nguyen, Thi Ha Duong Phan, Thi Anh Ngoc Nguyen, Alexis Drogoul, Jean-Daniel Zucker: Disk Graph-Based Model: A Graph Theoretical Approach for Linking Agent-Based Models and Dynamical Systems. RIVF 2010: 1-4

David Sheeren, Sébastien Mustière, Jean-Daniel Zucker: A data-mining approach for assessing consistency between multiple representations in spatial databases. International Journal of Geographical Information Science 23(8): 961-992 (2009)

Thanh-Quang Chu, Alexis Drogoul, Alain Boucher, Jean-Daniel Zucker: Interactive Learning of Independent Experts' Criteria for Rescue Simulations. J. UCS 15(13): 2701-2725 (2009)

Minh Thu Tran Nguyen, François Sempé, Tuong-Vinh Ho, Jean-Daniel Zucker: Mining Abstract Highly Correlated Pairs. RIVF 2009: 1-4

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

Edi Prifti, Jean-Daniel Zucker, Karine Clément, Corneliu Henegar: FunNet: an integrative tool for exploring transcriptional interactions. Bioinformatics 24(22): 2636-2638 (2008)

Jean-Baptiste Lamy, Anis Ellini, Vahid Ebrahiminia, Jean-Daniel Zucker, Hector Falcoff, Alain Venot: Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system. MIE 2008: 223-228

Yann Chevaleyre, Aydano Machado, Jean-Daniel Zucker: Experiments with Adaptive Transfer Rate in Reinforcement Learning. PKAW 2008: 1-11

Thanh-Quang Chu, Alain Boucher, Alexis Drogoul, Duc-An Vo, Hong-Phuong Nguyen, Jean-Daniel Zucker: Interactive Learning of Expert Criteria for Rescue Simulations. PRIMA 2008: 127-138

Blaise Hanczar, Jean-Daniel Zucker, Corneliu Henegar, Lorenza Saitta: Feature construction from synergic pairs to improve microarray-based classification. Bioinformatics 23(21): 2866-2872 (2007)

Mohamed Ramzi Temanni, Mustapha Lebbah, Christine Poitou-Bernert, Karine Clément, Jean-Daniel Zucker: Combinaison des cartes topologiques mixtes et des machines à vecteurs de support : une application pour la prédiction de perte de poids chez les obèses. EGC 2007: 33-44

Arriel Benis, Jean-Daniel Zucker: DiscoClini : Une méthodologie pour l'extraction de relations linéaires dans des données de génomique médicale. Actes d'IC 2007: 337-339

Lorenza Saitta, Jean-Daniel Zucker: Abstraction and Complexity Measures. SARA 2007: 375-390

Corneliu Henegar, Raffaella Cancello, Sophie Rome, Hubert Vidal, Karine Clément, Jean-Daniel Zucker: Clustering Biological Annotations and Gene Expression Data to Identify Putatively Co-regulated Biological Processes. J. Bioinformatics and Computational Biology 4(4): 833-852 (2006)

Corneliu Henegar, Karine Clément, Jean-Daniel Zucker: Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data. ECML 2006: 186-197

Aydano Machado, Yann Chevaleyre, Jean-Daniel Zucker: Une approche multi-agent adaptative pour la simulation de schémas tactiques. EGC 2006: 143-148

Blaise Hanczar, Jean-Daniel Zucker: Exploiter l'information mutuelle inter-gènes pour réduire la dimension des données biopuces: une approche basée sur la construction automatique d'attributs. CAP 2005: 247-262

Lorenza Saitta, Jean-Daniel Zucker, Sébastien Mustière: An Abstraction-based Machine Learning Approach to Cartographic Generalisation. IICAI 2005: 621-638

Jean-Daniel Zucker, Lorenza Saitta (Eds.): Abstraction, Reformulation and Approximation, 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005, Proceedings. Lecture Notes in Computer Science 3607, Springer 2005, isbn 3-540-27872-9

David Sheeren, Sébastien Mustière, Jean-Daniel Zucker: How to Integrate Heterogeneous Spatial Databases in a Consistent Way? ADBIS 2004: 364-378

Nicolas Bredeche, Yann Chevaleyre, Jean-Daniel Zucker, Alexis Drogoul, Gérard Sabah: A meta-learning approach to ground symbols from visual percepts. Robotics and Autonomous Systems 43(2-3): 149-162 (2003)

Blaise Hanczar, Mélanie Courtine, Arriel Benis, Corneliu Henegar, Karine Clément, Jean-Daniel Zucker: Improving classification of microarray data using prototype-based feature selection. SIGKDD Explorations 5(2): 23-30 (2003)

Nicolas Bredeche, Zhongzhi Shi, Jean-Daniel Zucker: Perceptual Learning and Abstraction in Machine Learning. IEEE ICCI 2003: 18-25

Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker: Propositionalization for Clustering Symbolic Relational Descriptions. ILP 2002: 1-16

Guillaume Hutzler, Bernard Gortais, Philippe Joly, Yann Orlarey, Jean-Daniel Zucker: J'ai dansé avec machine ou comment repenser les rapports entre l'homme et son environnement. JFSMA 2002: 147-150

Aydano Machado, Geber Ramalho, Jean-Daniel Zucker, Alexis Drogoul: Multi-agent Patrolling: An Empirical Analysis of Alternative Architectures. MABS 2002: 155-170

Nicolas Bredeche, Jean-Daniel Zucker, Yann Chevaleyre: A Wrapper-Based Approach to Robot Learning Concepts from Images. PRICAI 2002: 616

Jean-Daniel Zucker, Nicolas Bredeche, Lorenza Saitta: Abstracting Visual Percepts to Learn Concepts. SARA 2002: 256-273

Byron L. D. Bezerra, Francisco de A. T. de Carvalho, Geber Ramalho, Jean-Daniel Zucker: Speeding up Recommender Systems with Meta-prototypes. SBIA 2002: 227-236

Lorenza Saitta, Jean-Daniel Zucker: A Model of Abstraction in Visual Perception. Applied Artificial Intelligence 15(8): 761-776 (2001)

Yann Chevaleyre, Jean-Daniel Zucker: Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. Canadian Conference on AI 2001: 204-214

Yann Chevaleyre, Jean-Daniel Zucker: A Framework for Learning Rules from Multiple Instance Data. ECML 2001: 49-60

Nicolas Bredeche, Jean-Daniel Zucker: From Distributed Robot Perception to Human Topology: A Learning Model. DARS 2000: 469-470

Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker: KIDS: An Iterative Algorithm to Organize Relational Knowledge. EKAW 2000: 217-232

Jun Wang, Jean-Daniel Zucker: Solving the Multiple-Instance Problem: A Lazy Learning Approach. ICML 2000: 1119-1126

Lorenza Saitta, Jean-Daniel Zucker: Perception-Based Granularity Levels in Concept Representation. ISMIS 2000: 409-416

Sébastien Mustière, Lorenza Saitta, Jean-Daniel Zucker: Abstraction in Cartographic Generalization. ISMIS 2000: 638-644

Laurent Breton, Jean-Daniel Zucker, Eric Clément: A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium. MABS 2000: 108-118

Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker: Abstractions for Knowledge Organization of Relational Descriptions. SARA 2000: 87-106

Lorenza Saitta, Jean-Daniel Zucker: Abstraction and Phase Transitions in Relational Learning. SARA 2000: 291-302

Sébastien Mustière, Jean-Daniel Zucker, Lorenza Saitta: Cartographic Generalization as a Combination of Representing and Abstracting Knowledge. ACM-GIS 1999: 162-164

Jean-Daniel Zucker, Jean-Gabriel Ganascia, Isabelle Bournaud: Relational Knowledge Discovery in a Chinese Character Database. Applied Artificial Intelligence 12(5): 455-488 (1998)

Jean-Daniel Zucker, Jean-Gabriel Ganascia: Learning Structurally Indeterminate Clauses. ILP 1998: 235-244

Christophe Meyer, Jean-Gabriel Ganascia, Jean-Daniel Zucker: Learning Strategies in Games by Anticipation. IJCAI (1) 1997: 698-707

Jean-Daniel Zucker, Jean-Gabriel Ganascia: Representation Changes for Efficient Learning in Structural Domains. ICML 1996: 543-551

Jean-Daniel Zucker: Reformulation of Examples in Concept Learning of Structural Descriptions. AI*IA 1995: 377-388

Jean-Daniel Zucker, Jean-Gabriel Ganascia: Selective Reformulation of Examples in Concept Learning. ICML 1994: 352-360

Jean-Daniel Zucker, Vincent Corruble, J. Thomas, Geber Ramalho: DICE: A Discovery Environment Integrating Inductive Bias. KDD Workshop 1994: 275-286

Flávio Oquendo, Jean-Daniel Zucker, Philip Griffiths: A Meta-CASE Environment for Software Process-Centred CASE Environments. CAiSE 1992: 568-588