Jean-Daniel Zucker

Orcid: 0000-0002-5597-7922

According to our database1, Jean-Daniel Zucker authored at least 115 papers between 1992 and 2023.

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Bibliography

2023
AliBERT: A Pre-trained Language Model for French Biomedical Text.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022
LiSA: an assisted literature search pipeline for detecting serious adverse drug events with deep learning.
BMC Medical Informatics Decis. Mak., 2022

Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations.
Int. J. Geogr. Inf. Sci., 2022

Qluster: An easy-to-implement generic workflow for robust clustering of health data.
Frontiers Artif. Intell., 2022

2021
Reject and Cascade Classifier with Subgroup Discovery for Interpretable Metagenomic Signatures.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Identifying actionable customer behavior through advanced analysis of bank transaction data.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2020
Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Q-Finder: An Algorithm for Credible Subgroup Discovery in Clinical Data Analysis - An Application to the International Diabetes Management Practice Study.
Frontiers Artif. Intell., 2020

Learning Interpretable Models using Soft Integrity Constraints.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Revealing causality between heterogeneous data sources with deep restricted Boltzmann machines.
Inf. Fusion, 2019

QMSpy: An Integrated Modular and Scalable Platform for Quantitative Metagenomics in Pyspark.
Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks.
Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

Enhancing Metagenome-based Disease Prediction by Unsupervised Binning Approaches.
Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

2018
An approach to optimizing abstaining area for small sample data classification.
Expert Syst. Appl., 2018

Disease Classification in Metagenomics with 2D Embeddings and Deep Learning.
CoRR, 2018

A Semi-supervised Approach to Discover Bivariate Causality in Large Biological Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Risk Scores Learned by Deep Restricted Boltzmann Machines with Trained Interval Quantization.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

A Provable Algorithm for Learning Interpretable Scoring Systems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks.
CoRR, 2017

The fused lasso penalty for learning interpretable medical scoring systems.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Efficient global network learning from local reconstructions.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Deterministic convection-diffusion approach for modeling cell motion and spatial organization: Experimentation on avascular tumor growth.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Quantifying the Effect of Metapopulation Size on the Persistence of Infectious Diseases in a Metapopulation.
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016
Deep kernel dimensionality reduction for scalable data integration.
Int. J. Approx. Reason., 2016

Spectral consensus strategy for accurate reconstruction of large biological networks.
BMC Bioinform., 2016

Quantifying the effect of synchrony on the persistence of infectious diseases in a metapopulation.
Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

Causality analysis between climatic factors and dengue fever using the Granger causality.
Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

Deep Self-Organising Maps for efficient heterogeneous biomedical signatures extraction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Experimental analysis of new algorithms for learning ternary classifiers.
Proceedings of the 2015 IEEE RIVF International Conference on Computing & Communication Technologies, 2015

Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation.
Proceedings of the 2015 IEEE RIVF International Conference on Computing & Communication Technologies, 2015

Approximate regret based elicitation in Markov decision process.
Proceedings of the 2015 IEEE RIVF International Conference on Computing & Communication Technologies, 2015

Continuous and Discrete Deep Classifiers for Data Integration.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

2014
Analysis of feature selection stability on high dimension and small sample data.
Comput. Stat. Data Anal., 2014

Approaches to Optimize Local Evacuation Maps for Helping Evacuation in Case of Tsunami.
Proceedings of the Information Systems for Crisis Response and Management in Mediterranean Countries, 2014

Stability of Ensemble Feature Selection on High-Dimension and Low-Sample Size Data - Influence of the Aggregation Method.
Proceedings of the ICPRAM 2014, 2014

2013
Integration of Smoke Effect and Blind Evacuation Strategy (SEBES) within fire evacuation simulation.
Simul. Model. Pract. Theory, 2013

Complex systems simulation online visual analysis and assessment using dynamic aggregation operators.
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

Speeding up the evaluation of casualties in multi-agent simulations with Linear Programming application to optimization of sign placement for tsunami evacuation.
Proceedings of the 2013 IEEE RIVF International Conference on Computing and Communication Technologies, 2013

A grid-based multistage algorithm for parameter simulation-optimization of complex system.
Proceedings of the 2013 IEEE RIVF International Conference on Computing and Communication Technologies, 2013

A model-view/controller approach to support visualization and online data analysis of Agent-based simulations.
Proceedings of the 2013 IEEE RIVF International Conference on Computing and Communication Technologies, 2013

GAMA: A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform.
Proceedings of the Advances on Practical Applications of Agents and Multi-Agent Systems, 2013

Noninvasive Diagnosis of Nonalcoholic Steatohepatitis Disease Based on Clinical Decision Support System.
Proceedings of the MEDINFO 2013, 2013

Multi-Level Agent-Based Modeling: a Generic Approach and an Implementation.
Proceedings of the Advanced Methods and Technologies for Agent and Multi-Agent Systems, Proceedings of the 7th KES Conference on Agent and Multi-Agent Systems, 2013

Rounding Methods for Discrete Linear Classification.
Proceedings of the 30th International Conference on Machine Learning, 2013

Online Analysis and Visualization of Agent Based Models.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

A flexible approach to multi-level agent-based simulation with the mesoscopic representation.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

GAMA: multi-level and complex environment for agent-based models and simulations.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami.
Proceedings of the 21st IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2012

A Simulation Model for Optimise the Fire Evacuation Configuration in the Metro Supermarket of Hanoi.
Proceedings of the Simulated Evolution and Learning - 9th International Conference, 2012

An Operational Meta-Model for Handling Multiple Scales in Agent-Based Simulations.
Proceedings of the 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Ho Chi Minh City, Vietnam, February 27, 2012

Simulation of Emergency Evacuation of Pedestrians along the Road Networks in Nhatrang City.
Proceedings of the 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Ho Chi Minh City, Vietnam, February 27, 2012

Which Behavior Is Best in a Fire Evacuation: Simulation with the Metro Supermarket of Hanoi.
Proceedings of the 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Ho Chi Minh City, Vietnam, February 27, 2012

Spatial Estimator of Brown Plant Hopper Density from Light Traps Data.
Proceedings of the 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Ho Chi Minh City, Vietnam, February 27, 2012

Toward a Spatially-Centered Approach to Integrate Heterogeneous and Multi-scales Urban Component Models.
Proceedings of the Advances on Practical Applications of Agents and Multi-Agent Systems, 2012

Experimental analysis of feature selection stability for high-dimension and low-sample size gene expression classification task.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

2011
A Hybrid Macro-Micro Pedestrians Evacuation Model to Speed Up Simulation in Road Networks.
Proceedings of the Advanced Agent Technology, 2011

2010
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option.
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

Exploring interaction measures to identify informative pairs of genes.
Int. J. Bioinform. Res. Appl., 2010

Interactional and functional centrality in transcriptional co-expression networks.
Bioinform., 2010

Disk Graph-Based Model: A Graph Theoretical Approach for Linking Agent-Based Models and Dynamical Systems.
Proceedings of the 2010 IEEE RIVF International Conference on Computing & Communication Technologies, 2010

A Modelling Language to Represent and Specify Emerging Structures in Agent-Based Model.
Proceedings of the Principles and Practice of Multi-Agent Systems, 2010

Towards a Methodology for the Participatory Design of Agent-Based Models.
Proceedings of the Principles and Practice of Multi-Agent Systems, 2010

AbsTop-Ka : un algorithme d'extraction de paires abstraites hautement corrélées pour mieux recommander dans "la longue traîne".
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009
Interactive Learning of Independent Experts' Criteria for Rescue Simulations.
J. Univers. Comput. Sci., 2009

A data-mining approach for assessing consistency between multiple representations in spatial databases.
Int. J. Geogr. Inf. Sci., 2009

Abstracting Complex Interaction Networks.
Proceedings of the Eighth Symposium on Abstraction, Reformulation, and Approximation, 2009

Mining Abstract Highly Correlated Pairs.
Proceedings of the 2009 IEEE International Conference on Computing and Communication Technologies, 2009

2008
FunNet: an integrative tool for exploring transcriptional interactions.
Bioinform., 2008

Interactive Learning of Expert Criteria for Rescue Simulations.
Proceedings of the Intelligent Agents and Multi-Agent Systems, 2008

Experiments with Adaptive Transfer Rate in Reinforcement Learning.
Proceedings of the Knowledge Acquisition: Approaches, 2008

Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system.
Proceedings of the eHealth Beyond the Horizon, 2008

2007
Feature construction from synergic pairs to improve microarray-based classification.
Bioinform., 2007

Abstraction and Complexity Measures.
Proceedings of the Abstraction, 2007

DiscoClini : Une méthodologie pour l'extraction de relations linéaires dans des données de génomique médicale.
Proceedings of the IC 2007: Ingénierie des connaissances 2007 (Proceedings of the 18th French Knowledge Engineering Conference), 2007

Combinaison des cartes topologiques mixtes et des machines à vecteurs de support : une application pour la prédiction de perte de poids chez les obèses.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006
Perceptual learning and abstraction in machine learning: an application to autonomous robotics.
IEEE Trans. Syst. Man Cybern. Syst., 2006

Clustering Biological Annotations and Gene Expression Data to Identify Putatively Co-regulated Biological Processes.
J. Bioinform. Comput. Biol., 2006

Une approche multi-agent adaptative pour la simulation de schémas tactiques.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data.
Proceedings of the Machine Learning: ECML 2006, 2006

Partitionnement des données pour les problèmes de classement difficiles: Combinaison des cartes topologiques mixtes et SVM.
Proceedings of the Apprentissage Artificiel et Fouille de Données, 2006

2005
An Abstraction-based Machine Learning Approach to Cartographic Generalisation.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Exploiter l'information mutuelle inter-gènes pour réduire la dimension des données biopuces: une approche basée sur la construction automatique d'attributs.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004
Consistency Assessment Between Multiple Representations of Geographical Databases: a Specification-Based Approach.
Proceedings of the Developments in Spatial Data Handling, 2004

How to Integrate Heterogeneous Spatial Databases in a Consistent Way?
Proceedings of the Advances in Databases and Information Systems, 2004

2003
Improving classification of microarray data using prototype-based feature selection.
SIGKDD Explor., 2003

A meta-learning approach to ground symbols from visual percepts.
Robotics Auton. Syst., 2003

Online learning for object identification by a mobile robot.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003

Perceptual Learning and Abstraction in Machine Learning.
Proceedings of the 2nd IEEE International Conference on Cognitive Informatics (ICCI 2003), 2003

2002
Speeding up Recommender Systems with Meta-prototypes.
Proceedings of the Advances in Artificial Intelligence, 2002

Abstracting Visual Percepts to Learn Concepts.
Proceedings of the Abstraction, 2002

A Wrapper-Based Approach to Robot Learning Concepts from Images.
Proceedings of the PRICAI 2002: Trends in Artificial Intelligence, 2002

Multi-agent Patrolling: An Empirical Analysis of Alternative Architectures.
Proceedings of the Multi-Agent-Based Simulation, Third International Workshop, 2002

J'ai dansé avec machine ou comment repenser les rapports entre l'homme et son environnement.
Proceedings of the Systèmes multi-agents et systèmes complexes : ingénierie, résolution de problèmes et simulation - JFSMA 02, 2002

Propositionalization for Clustering Symbolic Relational Descriptions.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

2001
A Model of Abstraction in Visual Perception.
Appl. Artif. Intell., 2001

A Framework for Learning Rules from Multiple Instance Data.
Proceedings of the Machine Learning: EMCL 2001, 2001

Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem.
Proceedings of the Advances in Artificial Intelligence, 2001

2000
Abstraction and Phase Transitions in Relational Learning.
Proceedings of the Abstraction, 2000

Abstractions for Knowledge Organization of Relational Descriptions.
Proceedings of the Abstraction, 2000

A Multi-Agent Based Simulation of Sand Piles in a Static Equilibrium.
Proceedings of the Multi-Agent-Based Simulation, Second International Workshop, 2000

Perception-Based Granularity Levels in Concept Representation.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Abstraction in Cartographic Generalization.
Proceedings of the Foundations of Intelligent Systems, 12th International Symposium, 2000

Solving the Multiple-Instance Problem: A Lazy Learning Approach.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

KIDS: An Iterative Algorithm to Organize Relational Knowledge.
Proceedings of the Knowledge Acquisition, 2000

From Distributed Robot Perception to Human Topology: A Learning Model.
Proceedings of the Distributed Autonomous Robotic Systems 4, 2000

1999
Une approche multi-agents pour la résolution d'équations en physique des milieux granulaires.
Proceedings of the Ingénierie des systèmes Multi-Agents - JFIADSMA 99, 1999

Cartographic Generalization as a Combination of Representing and Abstracting Knowledge.
Proceedings of the ACM-GIS '99, 1999

1998
Relational Knowledge Discovery in a Chinese Character Database.
Appl. Artif. Intell., 1998

Learning Structurally Indeterminate Clauses.
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998

1997
Learning Strategies in Games by Anticipation.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
Representation Changes for Efficient Learning in Structural Domains.
Proceedings of the Machine Learning, 1996

1995
Reformulation of Examples in Concept Learning of Structural Descriptions.
Proceedings of the Topics in Artificial Intelligence, 1995

1994
DICE: A Discovery Environment Integrating Inductive Bias.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

Selective Reformulation of Examples in Concept Learning.
Proceedings of the Machine Learning, 1994

1992
A Meta-CASE Environment for Software Process-Centred CASE Environments.
Proceedings of the Advanced Information Systems Engineering, 1992


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