Hugues Bersini

According to our database1, Hugues Bersini authored at least 82 papers between 1990 and 2018.

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Bibliography

2018
Accelerating model-based collaborative filtering with item clustering.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Long and Short-Term Recommendations with Recurrent Neural Networks.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

2016
Collaborative Filtering with Recurrent Neural Networks.
CoRR, 2016

An ABM Java Applet to Explore the Free Market Equality/Efficiency Tradeoff.
Proceedings of the Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 2016

2015
Transitions Between Homophilic and Heterophilic Modes of Cooperation.
J. Artificial Societies and Social Simulation, 2015

2014
Special Issue for the 20th Anniversary of the European Conference on Artificial Life (ECAL 2011).
Artificial Life, 2014

Random walks based modularity: application to semi-supervised learning.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes.
IEEE/ACM Trans. Comput. Biology Bioinform., 2013

Batch effect removal methods for microarray gene expression data integration: a survey.
Briefings in Bioinformatics, 2013

A Graph-Based Approach to Skill Extraction from Text.
Proceedings of TextGraphs@EMNLP 2013: the 8th Workshop on Graph-based Methods for Natural Language Processing, 2013

A Stylized Software Model to Explore the Free Market Equality/Efficiency Tradeoff.
Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2013

2012
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis.
IEEE/ACM Trans. Comput. Biology Bioinform., 2012

Philosophical and scientific perspectives on emergence.
Synthese, 2012

Emergent phenomena belong only to biology.
Synthese, 2012

The Gestalt heuristic: emerging abstraction to improve combinatorial search.
Natural Computing, 2012

UML for ABM.
J. Artificial Societies and Social Simulation, 2012

Why Should an Economy Be Competitive?
Complex Systems, 2012

Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.
BMC Bioinformatics, 2012

2011
Semi-supervised classification and betweenness computation on large, sparse, directed graphs.
Pattern Recognit., 2011

inSilicoDb: an R/Bioconductor package for accessing human Affymetrix expert-curated datasets from GEO.
Bioinformatics, 2011

Autocatalysis: At the Root of Self-Replication.
Artificial Life, 2011

Refitting Harel Statecharts for Systemic Mathematical Models in Computational Immunology.
Proceedings of the Artificial Immune Systems - 10th International Conference, 2011

2010
Structure versus function: a topological perspective on immune networks.
Natural Computing, 2010

Sequential Application of Feature Selection and Extraction for Predicting Breast Cancer Aggressiveness.
Proceedings of the Computational Systems-Biology and Bioinformatics, 2010

Autocatalyses.
Proceedings of the Artificial Life XII: Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010

2009
Online unsupervised formation of cell assemblies for the encoding of multiple cognitive maps.
Neural Networks, 2009

A Synthon Approach to Artificial Chemistry.
Artificial Life, 2009

Validation of Merging Techniques for Cancer Microarray Data Sets.
Aust. J. Intell. Inf. Process. Syst., 2009

Online organization of chaotic cell assemblies. A model for the cognitive map formation?
Proceedings of the International Joint Conference on Neural Networks, 2009

Object-Oriented Refactoring of Existing Immune Models.
Proceedings of the Artificial Immune Systems, 8th International Conference, 2009

Agent-Based Toy Modeling for Comparing Distributive and Competitive Free Market.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

2008
The Emergence of Specialization.
Proceedings of the Artificial Life XI: Proceedingshe of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
The Road to Chaos by Time-Asymmetric Hebbian Learning in Recurrent Neural Networks.
Neural Computation, 2007

How Stochastic Noise Helps Memory Retrieval in a Chaotic Brain.
Proceedings of the International Joint Conference on Neural Networks, 2007

Topological Constraints in the Evolution of Idiotypic Networks.
Proceedings of the Artificial Immune Systems, 6th International Conference, 2007

A gestalt genetic algorithm: less details for better search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Networks Regulating Networks: The Effects of Constraints on Topological Evolution.
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

Emergent Phenomena Only Belong to Biology.
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

2006
Philippe Smets (1938-2005).
Int. J. Approx. Reason., 2006

In Memoriam: Philippe Smets (1938-2005).
Fuzzy Sets Syst., 2006

How to prevent spurious data in a chaotic brain.
Proceedings of the International Joint Conference on Neural Networks, 2006

Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network.
Proceedings of the Artificial Immune Systems, 5th International Conference, 2006

Immune System Modeling: The OO Way.
Proceedings of the Artificial Immune Systems, 5th International Conference, 2006

How an optimal observer can collapse the search space.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

How an optimal observer can smooth a landscape.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Why the First Glass of Wine Is Better Than the Seventh.
Proceedings of the Artificial Immune Systems: 4th International Conference, 2005

Intrinsic emergence boosts adaptive capacity.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

CoEvolution of Effective Observers and Observed Multi-agents System.
Proceedings of the Advances in Artificial Life, 8th European Conference, 2005

Growing Biochemical Networks: Identifying the Intrinsic Properties.
Proceedings of the Advances in Artificial Life, 8th European Conference, 2005

2003
Fascinating Rhythmus by Chaotic Hopfield Networks.
Proceedings of the Advances in Artificial Life, 7th European Conference, 2003

Revisiting Idiotypic Immune Networks.
Proceedings of the Advances in Artificial Life, 7th European Conference, 2003

2002
The immune and the chemical crossover.
IEEE Trans. Evolutionary Computation, 2002

The connections between the frustrated chaos and the intermittency chaos in small Hopfield networks.
Neural Networks, 2002

Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches.
Fuzzy Sets Syst., 2002

2001
The local paradigm for modeling and control: from neuro-fuzzy to lazy learning.
Fuzzy Sets Syst., 2001

Separation of samples into their constituents using gene expression data.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

2000
A Model Selection Approach for Local Learning.
AI Commun., 2000

A new GA-Local Search Hybrid for Continuous Optimization Based on Multi-Level Single Linkage Clustering.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Chemical Crossover.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

1999
Local Learning for Iterated Time-Series Prediction.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Design Patterns for an Object-Oriented Computational Chemistry.
Proceedings of the Advances in Artificial Life, 5th European Conference, 1999

1998
The frustrated and compositional nature of chaos in small Hopfield networks.
Neural Networks, 1998

Lazy Learning Meets the Recursive Least Squares Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Lazy learning for control design.
Proceedings of the ESANN 1998, 1998

Recursive Lazy Learning for Modeling and Control.
Proceedings of the Machine Learning: ECML-98, 1998

1997
A simplification of the backpropagation-through-time algorithm for optimal neurocontrol.
IEEE Trans. Neural Networks, 1997

Fuzzy adaptive control of a certain class of SISO discrete-time processes.
Fuzzy Sets Syst., 1997

Now comes the time to defuzzify neuro-fuzzy models.
Fuzzy Sets Syst., 1997

Economical Reinforcement Learning for Non Stationary Problems.
Proceedings of the Artificial Neural Networks, 1997

Global Least-Squares vs. EM Training for the Gaussian Mixture of Experts.
Proceedings of the Artificial Neural Networks, 1997

1996
Simplex GA and Hybrid Methods.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Results of the First International Contest on Evolutionary Optimisation (1st ICEO).
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Immune Response toward Auto-Ag and Growing-Ag as a Funetion of Network Connectivity.
Proceedings of the German Conference on Bioinformatics, 1996

1994
Hopfield net generation, encoding and classification of temporal trajectories.
IEEE Trans. Neural Networks, 1994

Classification of temporal trajectories by continuous-time recurrent nets.
Neural Networks, 1994

S.T.E.P.: The Easiest Way to Optimize a Function.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Hybridizing Genetic Algorithms with Hill-Climbing Methods for Global Optimization: Two Possible Ways.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1993
Adaptive NeuroControl: How Black Box and Simple can it be.
Proceedings of the Machine Learning, 1993

1992
In Search of a Good Evolution-Optimization Crossover.
Proceedings of the Parallel Problem Solving from Nature 2, 1992

1991
The Immune Recruitment Mechanism: A Selective Evolutionary Strategy.
Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990
Hints for Adaptive Problem Solving Gleaned from Immune Networks.
Proceedings of the Parallel Problem Solving from Nature, 1st Workshop, 1990

One Step in the Counter-Representationalist Direction.
Proceedings of the 9th European Conference on Artificial Intelligence, 1990


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