| 2008 |
|---|
| 40 | EE | 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 |
| 39 | EE | Edi Prifti,
Jean-Daniel Zucker,
Karine Clément,
Corneliu Henegar:
FunNet: an integrative tool for exploring transcriptional interactions.
Bioinformatics 24(22): 2636-2638 (2008) |
| 2007 |
|---|
| 38 | | 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 |
| 37 | EE | Lorenza Saitta,
Jean-Daniel Zucker:
Abstraction and Complexity Measures.
SARA 2007: 375-390 |
| 36 | EE | 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) |
| 2006 |
|---|
| 35 | EE | Corneliu Henegar,
Karine Clément,
Jean-Daniel Zucker:
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data.
ECML 2006: 186-197 |
| 34 | | Aydano Machado,
Yann Chevaleyre,
Jean-Daniel Zucker:
Une approche multi-agent adaptative pour la simulation de schémas tactiques.
EGC 2006: 143-148 |
| 33 | EE | 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) |
| 2005 |
|---|
| 32 | | Jean-Daniel Zucker,
Lorenza Saitta:
Abstraction, Reformulation and Approximation, 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005, Proceedings
Springer 2005 |
| 31 | | 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 |
| 30 | | Lorenza Saitta,
Jean-Daniel Zucker,
Sébastien Mustière:
An Abstraction-based Machine Learning Approach to Cartographic Generalisation.
IICAI 2005: 621-638 |
| 2004 |
|---|
| 29 | EE | David Sheeren,
Sébastien Mustière,
Jean-Daniel Zucker:
How to Integrate Heterogeneous Spatial Databases in a Consistent Way?
ADBIS 2004: 364-378 |
| 2003 |
|---|
| 28 | EE | Nicolas Bredeche,
Zhongzhi Shi,
Jean-Daniel Zucker:
Perceptual Learning and Abstraction in Machine Learning.
IEEE ICCI 2003: 18-25 |
| 27 | EE | 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) |
| 26 | EE | 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) |
| 2002 |
|---|
| 25 | EE | Isabelle Bournaud,
Mélanie Courtine,
Jean-Daniel Zucker:
Propositionalization for Clustering Symbolic Relational Descriptions.
ILP 2002: 1-16 |
| 24 | EE | Aydano Machado,
Geber Ramalho,
Jean-Daniel Zucker,
Alexis Drogoul:
Multi-agent Patrolling: An Empirical Analysis of Alternative Architectures.
MABS 2002: 155-170 |
| 23 | EE | Nicolas Bredeche,
Jean-Daniel Zucker,
Yann Chevaleyre:
A Wrapper-Based Approach to Robot Learning Concepts from Images.
PRICAI 2002: 616 |
| 22 | EE | Jean-Daniel Zucker,
Nicolas Bredeche,
Lorenza Saitta:
Abstracting Visual Percepts to Learn Concepts.
SARA 2002: 256-273 |
| 21 | EE | 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 |
| 2001 |
|---|
| 20 | EE | 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 |
| 19 | EE | Yann Chevaleyre,
Jean-Daniel Zucker:
A Framework for Learning Rules from Multiple Instance Data.
ECML 2001: 49-60 |
| 18 | | Lorenza Saitta,
Jean-Daniel Zucker:
A Model of Abstraction in Visual Perception.
Applied Artificial Intelligence 15(8): 761-776 (2001) |
| 2000 |
|---|
| 17 | | Nicolas Bredeche,
Jean-Daniel Zucker:
From Distributed Robot Perception to Human Topology: A Learning Model.
DARS 2000: 469-470 |
| 16 | EE | Isabelle Bournaud,
Mélanie Courtine,
Jean-Daniel Zucker:
KIDS: An Iterative Algorithm to Organize Relational Knowledge.
EKAW 2000: 217-232 |
| 15 | | Jun Wang,
Jean-Daniel Zucker:
Solving the Multiple-Instance Problem: A Lazy Learning Approach.
ICML 2000: 1119-1126 |
| 14 | EE | Lorenza Saitta,
Jean-Daniel Zucker:
Perception-Based Granularity Levels in Concept Representation.
ISMIS 2000: 409-416 |
| 13 | EE | Sébastien Mustière,
Lorenza Saitta,
Jean-Daniel Zucker:
Abstraction in Cartographic Generalization.
ISMIS 2000: 638-644 |
| 12 | EE | Laurent Breton,
Jean-Daniel Zucker,
Eric Clément:
A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium.
MABS 2000: 108-118 |
| 11 | EE | Lorenza Saitta,
Jean-Daniel Zucker:
Abstraction and Phase Transitions in Relational Learning.
SARA 2000: 291-302 |
| 10 | EE | Isabelle Bournaud,
Mélanie Courtine,
Jean-Daniel Zucker:
Abstractions for Knowledge Organization of Relational Descriptions.
SARA 2000: 87-106 |
| 1999 |
|---|
| 9 | EE | Sébastien Mustière,
Jean-Daniel Zucker,
Lorenza Saitta:
Cartographic Generalization as a Combination of Representing and Abstracting Knowledge.
ACM-GIS 1999: 162-164 |
| 1998 |
|---|
| 8 | | Jean-Daniel Zucker,
Jean-Gabriel Ganascia:
Learning Structurally Indeterminate Clauses.
ILP 1998: 235-244 |
| 7 | EE | Jean-Daniel Zucker,
Jean-Gabriel Ganascia,
Isabelle Bournaud:
Relational Knowledge Discovery in a Chinese Character Database.
Applied Artificial Intelligence 12(5): 455-488 (1998) |
| 1997 |
|---|
| 6 | | Christophe Meyer,
Jean-Gabriel Ganascia,
Jean-Daniel Zucker:
Learning Strategies in Games by Anticipation.
IJCAI (1) 1997: 698-707 |
| 1996 |
|---|
| 5 | | Jean-Daniel Zucker,
Jean-Gabriel Ganascia:
Representation Changes for Efficient Learning in Structural Domains.
ICML 1996: 543-551 |
| 1995 |
|---|
| 4 | | Jean-Daniel Zucker:
Reformulation of Examples in Concept Learning of Structural Descriptions.
AI*IA 1995: 377-388 |
| 1994 |
|---|
| 3 | | Jean-Daniel Zucker,
Jean-Gabriel Ganascia:
Selective Reformulation of Examples in Concept Learning.
ICML 1994: 352-360 |
| 2 | | Jean-Daniel Zucker,
Vincent Corruble,
J. Thomas,
Geber Ramalho:
DICE: A Discovery Environment Integrating Inductive Bias.
KDD Workshop 1994: 275-286 |
| 1992 |
|---|
| 1 | | Flávio Oquendo,
Jean-Daniel Zucker,
Philip Griffiths:
A Meta-CASE Environment for Software Process-Centred CASE Environments.
CAiSE 1992: 568-588 |
