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Jean-Daniel Zucker

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2020 – today

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2024
[c91]
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Hanane Ariouat, Youcef Sklab, Marc Pignal, Florian Jabbour, Régine Vignes-Lebbe, Edi Prifti, Jean-Daniel Zucker, Eric Chenin:
Enhancing YOLOv7 for Plant Organs Detection Using Attention-Gate Mechanism. PAKDD (2) 2024: 223-234
[i4]
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  - journals/corr/abs-2406-16901
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Alex Lence, Ahmad Fall, Federica Granese, Blaise Hanczar, Joe-Elie Salem, Jean-Daniel Zucker, Edi Prifti:
ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion. CoRR abs/2406.16901 (2024)
2023
[c90]
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Aman Berhe, Guillaume Draznieks, Vincent Martenot, Valentin Masdeu, Lucas Davy, Jean-Daniel Zucker:
AliBERT: A Pre-trained Language Model for French Biomedical Text. BioNLP@ACL 2023: 223-236
2022
[j23]
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Cyril Esnault, Melissa Rollot, Pauline Guilmin, Jean-Daniel Zucker:
Qluster: An easy-to-implement generic workflow for robust clustering of health data. Frontiers Artif. Intell. 5 (2022)
[j22]
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Kevin Chapuis, Pham Minh Duc, Arthur Brugière, Jean-Daniel Zucker, Alexis Drogoul, Pierrick Tranouez, Éric Daudé, Patrick Taillandier:
Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations. Int. J. Geogr. Inf. Sci. 36(9): 1741-1783 (2022)
[j21]
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Vincent Martenot, Valentin Masdeu, Jean Cupe, Faustine Gehin, Margot Blanchon, Julien Dauriat, Alexander Horst, Michael Renaudin, Philippe Girard, Jean-Daniel Zucker:
LiSA: an assisted literature search pipeline for detecting serious adverse drug events with deep learning. BMC Medical Informatics Decis. Mak. 22(1): 338 (2022)
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Zhongzhi Shi, Jean-Daniel Zucker, Bo An:
Intelligent Information Processing XI - 12th IFIP TC 12 International Conference, IIP 2022, Qingdao, China, May 27-30, 2022, Proceedings. IFIP Advances in Information and Communication Technology 643, Springer 2022, ISBN 978-3-031-03947-8 [contents]
2021
[c89]
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Anna Nesvijevskaia, Vincent Martenot, Paul Fogel, Jean-Daniel Zucker:
Identifying actionable customer behavior through advanced analysis of bank transaction data. CSCI 2021: 1551-1552
[c88]
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Maxence Queyrel, Alexandre Templier, Jean-Daniel Zucker:
Reject and Cascade Classifier with Subgroup Discovery for Interpretable Metagenomic Signatures. PKDD/ECML Workshops (1) 2021: 49-66
2020
[j20]
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Cyril Esnault, May-Line Gadonna, Maxence Queyrel, Alexandre Templier, Jean-Daniel Zucker:
Q-Finder: An Algorithm for Credible Subgroup Discovery in Clinical Data Analysis - An Application to the International Diabetes Management Practice Study. Frontiers Artif. Intell. 3: 559927 (2020)
[j19]
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Nataliya Sokolovska, Olga Permiakova, Sofia K. Forslund, Jean-Daniel Zucker:
Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 358-364 (2020)
[c87]
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Khaled Belahcène, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker:
Learning Interpretable Models using Soft Integrity Constraints. ACML 2020: 529-544

2010 – 2019

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2019
[j18]
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Nataliya Sokolovska, Karine Clément, Jean-Daniel Zucker:
Revealing causality between heterogeneous data sources with deep restricted Boltzmann machines. Inf. Fusion 50: 139-147 (2019)
[c86]
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Thanh Hai Nguyen, Jean-Daniel Zucker:
Enhancing Metagenome-based Disease Prediction by Unsupervised Binning Approaches. KSE 2019: 1-5
[c85]
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  - conf/rivf/NguyenPSZ19
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Thanh Hai Nguyen, Edi Prifti, Nataliya Sokolovska, Jean-Daniel Zucker:
Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks. RIVF 2019: 1-6
[c84]
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Ari Ugarte, Minh Quang-Dao, Bich Hai Ho, Chloe Vigliotti, Eugeni Belda, Jean-Daniel Zucker, Edi Prifti:
QMSpy: An Integrated Modular and Scalable Platform for Quantitative Metagenomics in Pyspark. RIVF 2019: 1-6
2018
[j17]
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Blaise Hanczar, Jean-Daniel Zucker:
An approach to optimizing abstaining area for small sample data classification. Expert Syst. Appl. 95: 153-161 (2018)
[c83]
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Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker:
A Provable Algorithm for Learning Interpretable Scoring Systems. AISTATS 2018: 566-574
[c82]
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Nataliya Sokolovska, Olga Permiakova, Sofia K. Forslund, Jean-Daniel Zucker:
A Semi-supervised Approach to Discover Bivariate Causality in Large Biological Data. MLDM (1) 2018: 406-420
[c81]
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Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker:
Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization. MLDM (1) 2018: 421-435
[i3]
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  - journals/corr/abs-1806-09046
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Thanh Hai Nguyen, Edi Prifti, Yann Chevaleyre, Nataliya Sokolovska, Jean-Daniel Zucker:
Disease Classification in Metagenomics with 2D Embeddings and Deep Learning. CoRR abs/1806.09046 (2018)
2017
[c80]
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Cam-Giang Tran-Thi, Marc Choisy, Jean-Daniel Zucker:
Quantifying the Effect of Metapopulation Size on the Persistence of Infectious Diseases in a Metapopulation. ACIIDS (2) 2017: 753-764
[c79]
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Cheikhou Oumar Ka, Jean Marie Dembele, Christophe Cambier, Serge Stinckwich, Moussa Lo, Jean-Daniel Zucker:
Deterministic convection-diffusion approach for modeling cell motion and spatial organization: Experimentation on avascular tumor growth. BIBM 2017: 556-60
[c78]
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  - conf/ijcnn/AffeldtSPZ17
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Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker:
Efficient global network learning from local reconstructions. IJCNN 2017: 1117-1124
[c77]
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Nataliya Sokolovska, Yann Chevaleyre, Karine Clément, Jean-Daniel Zucker:
The fused lasso penalty for learning interpretable medical scoring systems. IJCNN 2017: 4504-4511
[i2]
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  - journals/corr/abs-1712-00244
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Thanh Hai Nguyen, Yann Chevaleyre, Edi Prifti, Nataliya Sokolovska, Jean-Daniel Zucker:
Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks. CoRR abs/1712.00244 (2017)
2016
[j16]
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Séverine Affeldt, Nataliya Sokolovska, Edi Prifti, Jean-Daniel Zucker:
Spectral consensus strategy for accurate reconstruction of large biological networks. BMC Bioinform. 17(S-16): 85-97 (2016)
[j15]
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Nataliya Sokolovska, Karine Clément, Jean-Daniel Zucker:
Deep kernel dimensionality reduction for scalable data integration. Int. J. Approx. Reason. 74: 121-132 (2016)
[c76]
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Nataliya Sokolovska, Nguyen Thanh Hai, Karine Clément, Jean-Daniel Zucker:
Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction. IJCNN 2016: 5079-5086
[c75]
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Pham Nguyen Hoang, Jean-Daniel Zucker, Marc Choisy, Hô Tuòng Vinh:
Causality analysis between climatic factors and dengue fever using the Granger causality. RIVF 2016: 49-54
[c74]
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Cam-Giang Tran-Thi, Marc Choisy, Jean-Daniel Zucker:
Quantifying the effect of synchrony on the persistence of infectious diseases in a metapopulation. RIVF 2016: 229-234
2015
[c73]
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  - conf/ida/SokolovskaRCZ15
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Nataliya Sokolovska, Salwa Rizkalla, Karine Clément, Jean-Daniel Zucker:
Continuous and Discrete Deep Classifiers for Data Integration. IDA 2015: 264-274
[c72]
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Jean-Daniel Zucker, Yann Chevaleyre, Dao Van Sang:
Experimental analysis of new algorithms for learning ternary classifiers. RIVF 2015: 19-24
[c71]
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  - conf/rivf/AlizadehCZ15
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Pegah Alizadeh, Yann Chevaleyre, Jean-Daniel Zucker:
Approximate regret based elicitation in Markov decision process. RIVF 2015: 47-52
[c70]
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Van-Minh Le, Yann Chevaleyre, Hô Tuòng Vinh, Jean-Daniel Zucker:
Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation. RIVF 2015: 138-143
2014
[j14]
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David Dernoncourt, Blaise Hanczar, Jean-Daniel Zucker:
Analysis of feature selection stability on high dimension and small sample data. Comput. Stat. Data Anal. 71: 681-693 (2014)
[c69]
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David Dernoncourt, Blaise Hanczar, Jean-Daniel Zucker:
Stability of Ensemble Feature Selection on High-Dimension and Low-Sample Size Data - Influence of the Aggregation Method. ICPRAM 2014: 325-330
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Van-Minh Le, Yann Chevaleyre, Jean-Daniel Zucker, Tuong-Vinh Ho:
Approaches to Optimize Local Evacuation Maps for Helping Evacuation in Case of Tsunami. ISCRAM-med 2014: 21-31
2013
[j13]
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Manh Hung Nguyen, Tuong-Vinh Ho, Jean-Daniel Zucker:
Integration of Smoke Effect and Blind Evacuation Strategy (SEBES) within fire evacuation simulation. Simul. Model. Pract. Theory 36: 44-59 (2013)
[c67]
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Laurent Navarro, Vincent Corruble, Fabien Flacher, Jean-Daniel Zucker:
A flexible approach to multi-level agent-based simulation with the mesoscopic representation. AAMAS 2013: 159-166
[c66]
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Alexis Drogoul, Edouard Amouroux, Philippe Caillou, Benoit Gaudou, Arnaud Grignard, Nicolas Marilleau, Patrick Taillandier, Maroussia Vavasseur, Duc-An Vo, Jean-Daniel Zucker:
GAMA: multi-level and complex environment for agent-based models and simulations. AAMAS 2013: 1361-1362
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Arnaud Grignard, Alexis Drogoul, Jean-Daniel Zucker:
Online Analysis and Visualization of Agent Based Models. ICCSA (1) 2013: 662-672
[c64]
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  - conf/icml/ChevaleyreKZ13
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Yann Chevaleyre, Frédéric Koriche, Jean-Daniel Zucker:
Rounding Methods for Discrete Linear Classification. ICML (1) 2013: 651-659
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Duc-An Vo, Alexis Drogoul, Jean-Daniel Zucker:
Multi-Level Agent-Based Modeling: a Generic Approach and an Implementation. KES-AMSTA 2013: 91-101
[c62]
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  - conf/medinfo/DoualiASMTBVPACJZ13
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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:
Noninvasive Diagnosis of Nonalcoholic Steatohepatitis Disease Based on Clinical Decision Support System. MedInfo 2013: 1178
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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
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Van-Minh Le, Yann Chevaleyre, Jean-Daniel Zucker, Hô Tuòng Vinh:
Speeding up the evaluation of casualties in multi-agent simulations with Linear Programming application to optimization of sign placement for tsunami evacuation. RIVF 2013: 215-220
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The-Nhan Ho, Nicolas Marilleau, Laurent Philippe, Hong-Quang Nguyen, Jean-Daniel Zucker:
A grid-based multistage algorithm for parameter simulation-optimization of complex system. RIVF 2013: 221-226
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Arnaud Grignard, Alexis Drogoul, Jean-Daniel Zucker:
A model-view/controller approach to support visualization and online data analysis of Agent-based simulations. RIVF 2013: 233-236
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Arnaud Grignard, Alexis Drogoul, Jean-Daniel Zucker:
Complex systems simulation online visual analysis and assessment using dynamic aggregation operators. SoCPaR 2013: 288-291
[i1]
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  - journals/corr/LamyEEZFV13
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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. CoRR abs/1312.0735 (2013)
2012
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  - conf/bibe/DernoncourtHZ12
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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
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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
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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
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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
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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
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Duc-An Vo, Alexis Drogoul, Jean-Daniel Zucker:
An Operational Meta-Model for Handling Multiple Scales in Agent-Based Simulations. RIVF 2012: 1-6
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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
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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
2011
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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
2010
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Edi Prifti, Jean-Daniel Zucker, Karine Clément, Corneliu Henegar:
Interactional and functional centrality in transcriptional co-expression networks. Bioinform. 26(24): 3083-3089 (2010)
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Blaise Hanczar, Corneliu Henegar, Jean-Daniel Zucker:
Exploring interaction measures to identify informative pairs of genes. Int. J. Bioinform. Res. Appl. 6(6): 628-642 (2010)
[c47]
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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
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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
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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
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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
[c43]
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Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Blaise Hanczar:
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option. MLSB 2010: 65-81

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
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David Sheeren, Sébastien Mustière, Jean-Daniel Zucker:
A data-mining approach for assessing consistency between multiple representations in spatial databases. Int. J. Geogr. Inf. Sci. 23(8): 961-992 (2009)
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Thanh-Quang Chu, Alexis Drogoul, Alain Boucher, Jean-Daniel Zucker:
Interactive Learning of Independent Experts' Criteria for Rescue Simulations. J. Univers. Comput. Sci. 15(13): 2701-2725 (2009)
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Minh Thu Tran Nguyen, François Sempé, Tuong-Vinh Ho, Jean-Daniel Zucker:
Mining Abstract Highly Correlated Pairs. RIVF 2009: 1-4
[c41]
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Lorenza Saitta, Corneliu Henegar, Jean-Daniel Zucker:
Abstracting Complex Interaction Networks. SARA 2009
2008
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Edi Prifti, Jean-Daniel Zucker, Karine Clément, Corneliu Henegar:
FunNet: an integrative tool for exploring transcriptional interactions. Bioinform. 24(22): 2636-2638 (2008)
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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
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Yann Chevaleyre, Aydano Machado, Jean-Daniel Zucker:
Experiments with Adaptive Transfer Rate in Reinforcement Learning. PKAW 2008: 1-11
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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
2007
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Blaise Hanczar, Jean-Daniel Zucker, Corneliu Henegar, Lorenza Saitta:
Feature construction from synergic pairs to improve microarray-based classification. Bioinform. 23(21): 2866-2872 (2007)
[c37]
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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
[c36]
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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
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Lorenza Saitta, Jean-Daniel Zucker:
Abstraction and Complexity Measures. SARA 2007: 375-390
2006
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  - journals/jbcb/HenegarCRVCZ06
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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. Bioinform. Comput. Biol. 4(4): 833-852 (2006)
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Nicolas Bredèche, Zhongzhi Shi, Jean-Daniel Zucker:
Perceptual learning and abstraction in machine learning: an application to autonomous robotics. IEEE Trans. Syst. Man Cybern. Syst. 36(2): 172-181 (2006)
[c34]
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Mustapha Lebbah, Mohamed Ramzi Temanni, Christine Poitou-Bernert, Karine Clément, Jean-Daniel Zucker:
Partitionnement des données pour les problèmes de classement difficiles: Combinaison des cartes topologiques mixtes et SVM. AAFD 2006: 43-64
[c33]
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Corneliu Henegar, Karine Clément, Jean-Daniel Zucker:
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data. ECML 2006: 186-197
[c32]
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Aydano Machado, Yann Chevaleyre, Jean-Daniel Zucker:
Une approche multi-agent adaptative pour la simulation de schémas tactiques. EGC 2006: 143-148
2005
[c31]
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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
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Lorenza Saitta, Jean-Daniel Zucker, Sébastien Mustière:
An Abstraction-based Machine Learning Approach to Cartographic Generalisation. IICAI 2005: 621-638
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Jean-Daniel Zucker, Lorenza Saitta:
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 [contents]
2004
[c29]
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David Sheeren, Sébastien Mustière, Jean-Daniel Zucker:
How to Integrate Heterogeneous Spatial Databases in a Consistent Way? ADBIS 2004: 364-378
[c28]
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David Sheeren, Sébastien Mustière, Jean-Daniel Zucker:
Consistency Assessment Between Multiple Representations of Geographical Databases: a Specification-Based Approach. SDH 2004: 617-628
2003
[j4]
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Nicolas Bredèche, Yann Chevaleyre, Jean-Daniel Zucker, Alexis Drogoul, Gérard Sabah:
A meta-learning approach to ground symbols from visual percepts. Robotics Auton. Syst. 43(2-3): 149-162 (2003)
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Blaise Hanczar, Mélanie Courtine, Arriel Benis, Corneliu Henegar, Karine Clément, Jean-Daniel Zucker:
Improving classification of microarray data using prototype-based feature selection. SIGKDD Explor. 5(2): 23-30 (2003)
[c27]
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  - conf/IEEEicci/BredecheSZ03
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Nicolas Bredèche, Zhongzhi Shi, Jean-Daniel Zucker:
Perceptual Learning and Abstraction in Machine Learning. IEEE ICCI 2003: 18-25
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Nicolas Bredèche, Jean-Daniel Zucker, Zhongzhi Shi:
Online learning for object identification by a mobile robot. CIRA 2003: 630-635
2002
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  - conf/ilp/BournaudCZ02
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Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker:
Propositionalization for Clustering Symbolic Relational Descriptions. ILP 2002: 1-16
[c24]
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  - conf/jfsma/HutzlerGJOZ02
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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
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Aydano Machado, Geber L. Ramalho, Jean-Daniel Zucker, Alexis Drogoul:
Multi-agent Patrolling: An Empirical Analysis of Alternative Architectures. MABS 2002: 155-170
[c22]
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Nicolas Bredèche, Jean-Daniel Zucker, Yann Chevaleyre:
A Wrapper-Based Approach to Robot Learning Concepts from Images. PRICAI 2002: 616
[c21]
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  - conf/sara/ZuckerBS02
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Jean-Daniel Zucker, Nicolas Bredèche, Lorenza Saitta:
Abstracting Visual Percepts to Learn Concepts. SARA 2002: 256-273
[c20]
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  - conf/sbia/BezerraCRZ02
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Byron L. D. Bezerra, Francisco de A. T. de Carvalho, Geber L. Ramalho, Jean-Daniel Zucker:
Speeding up Recommender Systems with Meta-prototypes. SBIA 2002: 227-236
2001
[j2]
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  - journals/aai/SaittaZ01
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Lorenza Saitta, Jean-Daniel Zucker:
A Model of Abstraction in Visual Perception. Appl. Artif. Intell. 15(8): 761-776 (2001)
[c19]
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  - conf/ai/ChevaleyreZ01
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Yann Chevaleyre, Jean-Daniel Zucker:
Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. AI 2001: 204-214
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Yann Chevaleyre, Jean-Daniel Zucker:
A Framework for Learning Rules from Multiple Instance Data. ECML 2001: 49-60
2000
[c17]
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  - conf/dars/BredecheZ00
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Nicolas Bredèche, Jean-Daniel Zucker:
From Distributed Robot Perception to Human Topology: A Learning Model. DARS 2000: 469-470
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  - conf/ekaw/BournaudCZ00
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Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker:
KIDS: An Iterative Algorithm to Organize Relational Knowledge. EKAW 2000: 217-232
[c15]
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Jun Wang, Jean-Daniel Zucker:
Solving the Multiple-Instance Problem: A Lazy Learning Approach. ICML 2000: 1119-1126
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Lorenza Saitta, Jean-Daniel Zucker:
Perception-Based Granularity Levels in Concept Representation. ISMIS 2000: 409-416
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  - conf/ismis/MustiereSZ00
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Sébastien Mustière, Lorenza Saitta, Jean-Daniel Zucker:
Abstraction in Cartographic Generalization. ISMIS 2000: 638-644
[c12]
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  - conf/mabs/BretonZC00
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Laurent Breton, Jean-Daniel Zucker, Eric Clément:
A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium. MABS 2000: 108-118
[c11]
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Isabelle Bournaud, Mélanie Courtine, Jean-Daniel Zucker:
Abstractions for Knowledge Organization of Relational Descriptions. SARA 2000: 87-106
[c10]
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  - conf/sara/SaittaZ00
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Lorenza Saitta, Jean-Daniel Zucker:
Abstraction and Phase Transitions in Relational Learning. SARA 2000: 291-302

1990 – 1999

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1999
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Sébastien Mustière, Jean-Daniel Zucker, Lorenza Saitta:
Cartographic Generalization as a Combination of Representing and Abstracting Knowledge. ACM-GIS 1999: 162-164
[c8]
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Laurent Breton, Jean-Daniel Zucker, Eric Clément:
Une approche multi-agents pour la résolution d'équations en physique des milieux granulaires. JFIADSMA 1999: 281-293
1998
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Jean-Daniel Zucker, Jean-Gabriel Ganascia, Isabelle Bournaud:
Relational Knowledge Discovery in a Chinese Character Database. Appl. Artif. Intell. 12(5): 455-488 (1998)
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Jean-Daniel Zucker, Jean-Gabriel Ganascia:
Learning Structurally Indeterminate Clauses. ILP 1998: 235-244
1997
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Christophe Meyer, Jean-Gabriel Ganascia, Jean-Daniel Zucker:
Learning Strategies in Games by Anticipation. IJCAI (1) 1997: 698-707
1996
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Jean-Daniel Zucker, Jean-Gabriel Ganascia:
Representation Changes for Efficient Learning in Structural Domains. ICML 1996: 543-551
1995
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Jean-Daniel Zucker:
Reformulation of Examples in Concept Learning of Structural Descriptions. AI*IA 1995: 377-388
1994
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Jean-Daniel Zucker, Jean-Gabriel Ganascia:
Selective Reformulation of Examples in Concept Learning. ICML 1994: 352-360
[c2]
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Jean-Daniel Zucker, Vincent Corruble, J. Thomas, Geber L. Ramalho:
DICE: A Discovery Environment Integrating Inductive Bias. KDD Workshop 1994: 275-286
1992
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Flávio Oquendo, Jean-Daniel Zucker, Philip Griffiths:
A Meta-CASE Environment for Software Process-Centred CASE Environments. CAiSE 1992: 568-588

Coauthor Index

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