Hugues Bersini

Hugues Bersini, Stefan Langerman, Gregory Seront, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

A COGNITIVE MODEL OF AUTOMATISMS AND BREAKDOWNS

Hugues Bersini, H. Bersini, 1991 .

Lazy learning for iterated time-series prediction

Johan A. K. Suykens, Mauro Birattari, Hugues Bersini, 1998 .

Advances in Artificial Life, ECAL 2011: Proceedings of the Eleventh European Conference on the Synthesis and Simulation of Living Systems

Tom Lenaerts, Marco Dorigo, Mario Giacobini, 2011 .

Fuzzy models viewed as multi-expert networks

Hugues Bersini, Gianluca Bontempi, 1997 .

Artificial Immune Systems, 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006, Proceedings

Hugues Bersini, Jorge Carneiro, 2006, ICARIS.

REINFORCEMENT LEARNING AND RECRUITMENT MECHANISM FOR ADAPTIVE DISTRIBUTED CONTROL

Hugues Bersini, 1993 .

A new GA-Local Search Hybrid for Continuous Optimization Based on Multi-Level Single Linkage Clustering

Hugues Bersini, Gregory Seront, H. Bersini, 2000, GECCO.

PAMUC: A multicriteria optimization method applied to the design of a purge valve

Hugues Bersini, Philippe Bouillard, Rajan Filomeno Coelho, 2003 .

Les fondements de l'informatique: Du bit à l'Internet

Hugues Bersini, Marie-Paule Spinette, Robert Spinette, 2008 .

Fascinating Rhythmus by Chaotic Hopfield Networks

Hugues Bersini, Colin Molter, H. Bersini, 2003, ECAL.

Artificial Life or Digital Dissection

Hugues Bersini, 2007 .

Direct adaptive fuzzy control for MIMO processes

Hugues Bersini, Edy Bertolissi, Antoine Duchâteau, 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

La programmation orientée objet : Cours et exercices UML 2 avec Java, C#, C++, Python, PHP et LINQ Ed. 6

Hugues Bersini, 2013 .

Toward a brain-like memory with recurrent neural networks

Hugues Bersini, Utku Salihoglu, 2009 .

The Endogenous Double Plasticity of the Immune Network and the Inspiration to be drawn for Engineering Artifacts

Hugues Bersini, H. Bersini, 1993 .

A comparison of Q-learning and classifier systems

Marco Dorigo, Hugues Bersini, M. Dorigo, 1994 .

Batch effect removal methods for microarray gene expression data integration: a survey

Hugues Bersini, Colin Molter, Ann Nowé, 2013, Briefings Bioinform..

Lazy learning for modeling and control design

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1997 .

An Empirical Analysis of One Type of Direct Adaptive Fuzzy Control

Hugues Bersini, Vittorio Gorrini, H. Bersini, 1995 .

The Immune Recruitment Mechanism: A Selective Evolutionary Strategy

Hugues Bersini, Francisco J. Varela, F. Varela, 1991, ICGA.

Hopfield net generation and encoding of trajectories in constrained environment

Hugues Bersini, L. G. Sotelino, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

The Contribution of Artificial Life to Theoretical Biology

Hugues Bersini, 2018 .

The Gestalt heuristic: emerging abstraction to improve combinatorial search

Hugues Bersini, Christophe Philemotte, H. Bersini, 2012, Natural Computing.

Growing Biochemical Networks: Identifying the Intrinsic Properties

Francisco C. Santos, Tom Lenaerts, Hugues Bersini, 2005, ECAL.

Structure versus function: a topological perspective on immune networks

Francisco C. Santos, Hugues Bersini, Emma Hart, 2010, Natural Computing.

Constrained, non-linear, derivative-free, parallel optimization of continuous, high computing load, noisy objective functions

Hugues Bersini, Frank Vanden Berghen, H. Bersini, 2004 .

Towards Neuro-Fuzzy Defuzzification in Benelearn '95

Hugues Bersini, Gianluca Bontempi, Christine Decaestecker, 1995 .

NLMIMO, Non-Linear Multi-Input Multi-Output Toolbox

Hugues Bersini, Edy Bertolissi, Antoine Duchâteau, 2000 .

Recurrent fuzzy systems

Hugues Bersini, Vittorio Gorrini, V. Gorrini, 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

Lazy Learners at work: the Lazy Learning Toolbox

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1999 .

Types, instances and high-level constraints in growing networks

Tom Lenaerts, Hugues Bersini, F. C. Santos, 2007 .

Combining Dynamic Programming and Neurocontrol: Some Basic Issues

Mauro Birattari, Marco Dorigo, Hugues Bersini, 1997 .

Adaptive Fuzzy Systems for Modelling Static and Dynamic Processes

Hugues Bersini, Vittorio Gorrini, James Frederick Baldwin, 1996 .

Self-Optimisation of Dense Neural Network Architectures: An Incremental Approach

Hugues Bersini, Antonio García Díaz, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Random walks based modularity: application to semi-supervised learning

Marco Saerens, Hugues Bersini, Alejandro Jaimes, 2014, WWW.

The Road to Chaos by Time-Asymmetric Hebbian Learning in Recurrent Neural Networks

Hugues Bersini, Colin Molter, Utku Salihoglu, 2007, Neural Computation.

Classification of temporal trajectories by continuous-time recurrent nets

Marco Saerens, Hugues Bersini, L. G. Sotelino, 1994, Neural Networks.

Separation of samples into their constituents using gene expression data

Hugues Bersini, David Venet, F. Pecasse, 2001, ISMB.

Distributed Computing and Artificial Intelligence: 10th International Conference

Juan M. Corchado, Hugues Bersini, Pawel Pawlewski, 2013 .

Topology Analysis of Social Networks Extracted from Literature

Hugues Bersini, Michaël C. Waumans, Thibaut Nicodème, 2015, PloS one.

Adaptive memory based regression methods

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Artificial Immune Systems: 5th International Conference. ICARIS 2006

Hugues Bersini, Jorge Carneiro, 2006 .

Modelling Human Behaviour in the Context of a simulation of Man-Machine Systems

Hugues Bersini, P. C. Cacciabue, John Patrick, 1987 .

Global Least-Squares vs. EM Training for the Gaussian Mixture of Experts

Hugues Bersini, Antoine Duchâteau, N. P. Bradshaw, 1997, ICANN.

NATURAL TOLERANCE AS A FUNCTION OF NETWORK CONNECTIVITY

Hugues Bersini, Francisco J. Varela, Vera V. Calenbuhr, 1996 .

Comparing RBF and Fuzzy Inference Systems on theoretical and practical basis

Hugues Bersini, Patrick Gallinari, Gianluca Bontempi, 1995 .

Agent-Based Toy Modeling for Comparing Distributive and Competitive Free Market

Hugues Bersini, 2009, ECAL.

How an optimal observer can collapse the search space

Hugues Bersini, Christophe Philemotte, H. Bersini, 2006, GECCO '06.

A gestalt genetic algorithm: less details for better search

Hugues Bersini, Christophe Philemotte, 2007, GECCO '07.

Data-driven techniques for direct adaptive control: the lazy and the fuzzy approaches

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 2002, Fuzzy Sets Syst..

Animat's I

Hugues Bersini, Paul Bourgine, Francisco J. Varela, 1991 .

Integration and cross‐validation of high‐throughput gene expression data: comparing heterogeneous data sets

Hugues Bersini, Carine Maenhaut, Vincent Detours, 2003, FEBS letters.

Why the First Glass of Wine Is Better Than the Seventh

Hugues Bersini, 2005, ICARIS.

Data-Driven Techniques for Divide and Conquer Adaptive Control

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 2000 .

Economical Reinforcement Learning for Non Stationary Problems

Hugues Bersini, Nathalie Chatenet, H. Bersini, 1997, ICANN.

Immune Idiotypic Network

Hugues Bersini, Francisco J. Varela, Vera V. Calenbuhr, 1996 .

Transitions Between Homophilic and Heterophilic Modes of Cooperation

Hugues Bersini, Hiroki Sayama, Masaya Saito, 2015, J. Artif. Soc. Soc. Simul..

Immune System Modeling: The OO Way

Hugues Bersini, H. Bersini, 2006, ICARIS.

Long and Short-Term Recommendations with Recurrent Neural Networks

Hugues Bersini, Robin Devooght, H. Bersini, 2017, UMAP.

Simplex GA and hybrid methods

Hugues Bersini, Gregory Seront, H. Bersini, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network

Francisco C. Santos, Hugues Bersini, Emma Hart, 2006, ICARIS.

Distributed Computing and Artificial Intelligence: 10th International Conference

Juan M. Corchado, Sara Rodríguez, Hugues Bersini, 2013 .

Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages

Hugues Bersini, Colin Molter, Ann Nowé, 2012, BMC Bioinformatics.

On-line and incremental evolving of fuzzy system structure and parameters

Hugues Bersini, 1998 .

Is Scale-Free A Realistic Topology For Evolving Biochemical Networks?

Tom Lenaerts, Hugues Bersini, Wouter Van den Broeck, 2005 .

Multicriteria Optimization with Expert Rules for Mechanical Design

Hugues Bersini, Philippe Bouillard, Rajan Filomeno Coelho, 2004 .

An ABM Java Applet to Explore the Free Market Equality/Efficiency Tradeoff

Hugues Bersini, 2016, PAAMS.

Networks Regulating Networks: The Effects of Constraints on Topological Evolution

Francisco C. Santos, Tom Lenaerts, Hugues Bersini, 2007, ECAL.

A family of reinforcement learning algorithms

Marco Dorigo, Hugues Bersini, Ann Nowé, 1994 .

Multiple models for adaptive control: the lazy and the fuzzy approach

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 2000 .

REINFORCEMENT LEARNING AND RECRUITMENT MECHANISM FOR ADAPTIVE DISTRIBUTED CONTROL

Hugues Bersini, H. Bersini, 1992 .

Immune Network and Adaptive Control

Hugues Bersini, H. Bersini, 1991 .

Online organization of chaotic cell assemblies. A model for the cognitive map formation?

Hugues Bersini, Colin Molter, Utku Salihoglu, 2009, 2009 International Joint Conference on Neural Networks.

Recent progress in human reliability models for nuclear power safety

Hugues Bersini, Carlyle Smith, Jacques Devooght, 1988 .

Now comes the time to defuzzify neuro-fuzzy models

Hugues Bersini, Gianluca Bontempi, H. Bersini, 1997, Fuzzy Sets Syst..

The connections between the frustrated chaos and the intermittency chaos in small Hopfield networks

Hugues Bersini, Pierre Sener, H. Bersini, 2002, Neural Networks.

Distributed Computing and Artificial Intelligence, 13th International Conference, DCAI 2016, Sevilla, Spain, 1-3 June, 2016

Juan M. Corchado, Hugues Bersini, Pawel Pawlewski, 2016, DCAI.

A Synthon Approach to Artificial Chemistry

Tom Lenaerts, Hugues Bersini, H. Bersini, 2009, Artificial Life.

An evolutionary analysis of Artificial Life publications

Hugues Bersini, Michael Waumans, H. Bersini, 2018, ALIFE.

Is readability compatible with accuracy ? From Neuro-Fuzzy to Lazy Learning

Mauro Birattari, Hugues Bersini, Wilfried Brauer, 1998 .

A Graph-Based Approach to Skill Extraction from Text

Marco Saerens, Alexander Panchenko, Hugues Bersini, 2013, TextGraphs@EMNLP.

Accelerating model-based collaborative filtering with item clustering

Hugues Bersini, Robin Devooght, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Storing static and cyclic patterns in an Hopfield neural network

Hugues Bersini, Colin Molter, Utku Salihoglu, 2005 .

Fuzzy-Evolutionary Systems

Detlef Nauck, Hugues Bersini, Piero Bonissone, 1998 .

A reliable multiobjective optimization algorithm applied to the design of a purge valve

Hugues Bersini, Philippe Bouillard, Rajan Filomeno Coelho, 2002 .

Whatever emerges should be intrinsically useful

Hugues Bersini, 2004 .

Philosophical and scientific perspectives on emergence

Hugues Bersini, Pasquale Stano, Mark A. Bedau, 2010, Synthese.

Object-Oriented Refactoring of Existing Immune Models

Hugues Bersini, 2009, ICARIS.

CoEvolution of Effective Observers and Observed Multi-agents System

Hugues Bersini, Christophe Philemotte, 2005, ECAL.

Topological Constraints in the Evolution of Idiotypic Networks

Hugues Bersini, Emma Hart, F. C. Santos, 2007, ICARIS.

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

Tom Lenaerts, Marco Dorigo, Mario Giacobini, 2014, Artificial Life.

Multiobjective optimization of a purge valve using a genetic algorithm

Hugues Bersini, Philippe Bouillard, Rajan Filomeno Coelho, 2002 .

GENETIC ALGORITHMS FOR PROCESS CONTROL: A SURVEY

J. M. Renders, J. P. Nordvik, Hugues Bersini, 1992 .

The Immune Learning Mechanisms: Recruitment Reinforcement and their applications

Hugues Bersini, Francisco J. Varela, Ray Patton, 1993 .

Ranking Scientific Papers on the Basis of Their Citations Growing Trend

Hugues Bersini, Michael Waumans, H. Bersini, 2017 .

Philippe Smets (1938-2005)

Thierry Denoeux, Didier Dubois, Henri Prade, 2006, Int. J. Approx. Reason..

A Data-driven Approach to Assess the Potential of Smart Cities: The Case of Open Data for Brussels Capital Region

Hugues Bersini, Miguel Angel Gomez Zotano, H. Bersini, 2017 .

Online unsupervised formation of cell assemblies for the encoding of multiple cognitive maps

Hugues Bersini, Colin Molter, Utku Salihoglu, 2009, Neural Networks.

Jini as a solution to develop distributed instrumentation networks in engineering

Hugues Bersini, Francis Grenez, Philippe De Doncker, 2001 .

Refitting Harel Statecharts for Systemic Mathematical Models in Computational Immunology

Hugues Bersini, David Klatzmann, Adrien Six, 2011, ICARIS.

In Memoriam: Philippe Smets (1938-2005)

Thierry Denoeux, Didier Dubois, Henri Prade, 2006, Fuzzy Sets Syst..

Sequential Application of Feature Selection and Extraction for Predicting Breast Cancer Aggressiveness

Hugues Bersini, Ann Nowé, Nic Walker, 2010, CSBio.

Adaptive NeuroControl: How Black Box and Simple can it be

Marco Saerens, Jean-Michel Renders, Hugues Bersini, 1993, ICML.

The frustrated and compositional nature of chaos in small Hopfield networks

Hugues Bersini, 1998, Neural Networks.

Collaborative Filtering with Recurrent Neural Networks pdf

Hugues Bersini, Robin Devooght, H. Bersini, 2016, ArXiv.

Neurocontrollers based on backpropagation algorithm

Marco Saerens, Jean-Michel Renders, Hugues Bersini, 1995 .

Why Should an Economy Be Competitive?

Hugues Bersini, Nicolas van Zeebroeck, 2012, Complex Syst..

Recursive Lazy Learning for Modeling and Control

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1998, ECML.

An interpretative recurrent neural network to improve pattern storing capabilities: dynamical considerations

Hugues Bersini, Colin Molter, Utku Salihoglu, 2006 .

Storing information through complex dynamics in recurrent neural networks

Hugues Bersini, Colin Molter, Utku Salihoglu, 2005 .

Results of the first international contest on evolutionary optimisation (1st ICEO)

Luca Maria Gambardella, Marco Dorigo, Hugues Bersini, 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

Towards a Connectionist Model of Action Sequences, Active Vision and Breakdowns

Hugues Bersini, Georg Dorffner, 1995 .

Hints for Adaptive Problem Solving Gleaned from Immune Networks

Hugues Bersini, Francisco J. Varela, F. Varela, 1990, PPSN.

Immune Response toward Auto-Ag and Growing-Ag as a Funetion of Network Connectivity

Hugues Bersini, Francisco J. Varela, V. Calenbuhr, 1996, German Conference on Bioinformatics.

Des réseaux et des sciences: Biologie, informatique, sociologie : l'omniprésence des réseaux

Hugues Bersini, Hugues Bersini, Hugues Bersini, 2005 .

Intrinsic emergence boosts adaptive capacity

Hugues Bersini, Christophe Philemotte, 2005, GECCO '05.

Emergent Phenomena Only Belong to Biology

Hugues Bersini, Christophe Philemotte, H. Bersini, 2007, ECAL.

Proceedings of the 5th international conference on Artificial Immune Systems

Hugues Bersini, Jorge Carneiro, 2006 .

The most promising areas for improving the use of evolutionary algorithms

Hugues Bersini, 1998 .

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

Hugues Bersini, Colin Molter, Ann Nowé, 2011, Bioinformatics.

Lazy learning: a logical method for supervised learning

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 2002 .

Default Cascades in Complex Networks: Topology and Systemic Risk

Guido Caldarelli, Hugues Bersini, Stefano Battiston, 2013, Scientific Reports.

In Search of a Good Evolution-Optimization Crossover

Hugues Bersini, Gregory Seront, 1992, PPSN.

Local Learning for Iterated Time-Series Prediction

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1999, ICML.

A simplification of the backpropagation-through-time algorithm for optimal neurocontrol

Hugues Bersini, Vittorio Gorrini, 1997, IEEE Trans. Neural Networks.

Frustration in Biological Networks: A source of diversity and instability

Hugues Bersini, Frank Schweitzer, Vera V. Calenbuhr, 1996 .

UML for ABM

Hugues Bersini, H. Bersini, 2012, J. Artif. Soc. Soc. Simul..

De l'intelligence humaine à l'intelligence artificielle

Hugues Bersini, 2006 .

Fuzzy adaptive control of a certain class of SISO discrete-time processes

Marco Saerens, Jean-Michel Renders, Hugues Bersini, 1997, Fuzzy Sets Syst..

Lazy Learning Meets the Recursive Least Squares Algorithm

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1998, NIPS.

Artificial Immune Systems: 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006, Proceedings (Lecture Notes in Computer Science)

Hugues Bersini, Jorge Carneiro, 2006 .

Phase synchronization and chaotic dynamics in Hebbian learned artificial recurrent neural networks

Hugues Bersini, Colin Molter, Utku Salihoglu, 2005 .

Hopfield net generation, encoding and classification of temporal trajectories

Marco Saerens, Hugues Bersini, L. G. Sotelino, 1994, IEEE Trans. Neural Networks.

Emergent phenomena belong only to biology

Hugues Bersini, 2010, Synthese.

GENESHIFT: A Nonparametric Approach for Integrating Microarray Gene Expression Data Based on the Inner Product as a Distance Measure between the Distributions of Genes

Hugues Bersini, Colin Molter, Ann Nowé, 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Validation of Merging Techniques for Cancer Microarray Data Sets

Hugues Bersini, Ann Nowé, Stijn Meganck, 2009, Aust. J. Intell. Inf. Process. Syst..

One Step in the Counter-Representationalist Direction

Hugues Bersini, 1990, ECAI.

Lazy learning for control design

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 1998, ESANN.

Algorithms for the analysis of gene expression data

Hugues Bersini, David Venet, 2004 .

The local paradigm for modeling and control: from neuro-fuzzy to lazy learning

Mauro Birattari, Hugues Bersini, Gianluca Bontempi, 2001, Fuzzy Sets Syst..

Formalizing Emergence: the Natural After-Life of Artificial Life

Hugues Bersini, 2006 .

Genetic Algorithms for Process Control: A Survey

J. M. Renders, J. P. Nordvik, Hugues Bersini, 1992 .

Some Preliminary Comparisons Between a Neural Adaptive Controller and a Model Reference Adaptive Controller

Marco Saerens, Jean-Michel Renders, Hugues Bersini, 1993 .

La programmation orientée objet : cours et exercices en UML2, Python, PHP, C#, C++ et Java, y compris Android (7e éd.) Hugues Bersini

Hugues Bersini, Hugues. Auteur du texte Bersini, 2017 .

In search of a good optimization-evolution crossover

Reinhard Männer, Bernard Manderick, Hugues Bersini, 1992 .

Hybridizing genetic algorithms with hill-climbing methods for global optimization: two possible ways

Jean-Michel Renders, Hugues Bersini, H. Bersini, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

The evolutionary coding of fuzzy systems and some examples of the methods

Hugues Bersini, 1998 .

Autocatalysis: At the Root of Self-Replication

Hugues Bersini, Raphaël Plasson, Ludovic Jullien, 2011, Artificial Life.

How Stochastic Noise Helps Memory Retrieval in a Chaotic Brain.

Hugues Bersini, Colin Molter, Utku Salihoglu, 2007, 2007 International Joint Conference on Neural Networks.

A Cognitive Model of Goal-Oriented Automatisms and Breakdowns

Hugues Bersini, H. Bersini, 1991 .

Semi-supervised classification and betweenness computation on large, sparse, directed graphs

Marco Saerens, Hugues Bersini, Nicolas van Zeebroeck, 2011, Pattern Recognit..

Identification of a sensor model with hybrid neuro-fuzzy methods

Hugues Bersini, Gianluca Bontempi, A. B. Bulsari, 1997 .

A Stylized Software Model to Explore the Free Market Equality/Efficiency Tradeoff

Hugues Bersini, Nicolas van Zeebroeck, 2013, PAAMS.

Classification hybride par motifs lexicaux étendus et classificateurs SVM

Marco Saerens, Hugues Bersini, Cédrick Fairon, 2010 .

A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis

Hugues Bersini, Colin Molter, Ann Nowé, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Topological evolution: from biological to social networks

Hugues Bersini, Francisco C. Santos, 2007 .

Local learning for data analysis

Mauro Birattari, Hugues Bersini, Wouter Van den Broeck, 1998 .

Reinforcement learning for homeostatic endogenous variables

Hugues Bersini, 1994 .

On-line Self-Structuring Fuzzy Inference Systems for Function Approximation

Takanori Shibata, Hugues Bersini, Elie Sanchez, 1996 .

Parametrical mechanical design with constraints and preferences: application to a purge valve

Hugues Bersini, Ph. Bouillard, R. Filomeno Coelho, 2003 .

DensEMANN: Building A DenseNet From Scratch, Layer by Layer and Kernel by Kernel

Hugues Bersini, Antonio García Díaz, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Determining a consistent experimental setup for benchmarking and optimizing databases

Hugues Bersini, Alberto Franzin, Moisés Silva-Muñoz, 2021, GECCO Companion.

Automatic configuration of the Cassandra database using irace

Hugues Bersini, Alberto Franzin, Moisés Silva-Muñoz, 2021, PeerJ Comput. Sci..

Adaptive Fuzzy Controller for State-Feedback Optimal Control

Hugues Bersini, 1996 .

Immune response towards growing- and auto-antigen in an idiotypic network model

Hugues Bersini, Vera V. Calenbuhr, Francisco J. Varela, 1997 .

Frustration induced chaos in a system of coupled ODE's

Hugues Bersini, Vera V. Calenbuhr, H. Bersini, 1995 .

How scale-free type-based networks emerge from instance-based dynamics

Francisco C. Santos, Tom Lenaerts, Hugues Bersini, 2006 .

Emergence of homochirality in far-from-equilibrium systems: mechanisms and role in prebiotic chemistry.

Hugues Bersini, Auguste Commeyras, Raphaël Plasson, 2007, Chirality.

Detection of obstructive apnea events in sleeping infants from thoracoabdominal movements

Hugues Bersini, Pierre Mathys, H. Bersini, 2002, Journal of sleep research.

Asynchrony induces stability in cellular automata based models

Rodney A. Brooks, Hugues Bersini, Pattie Maes, 1994 .

Forecasting episodes of atrial fibrillation using a new machine learning algorithm

Hugues Bersini, J. Grégoire, C. Gilon, 2020 .

Giving meaning to cycles to go beyond the limitations of fixed point attractors

Hugues Bersini, Colin Molter, Utku Salihoglu, 2007 .

Energetic and entropic analysis of mirror symmetry breaking processes in a recycled microreversible chemical system.

Hugues Bersini, Raphaël Plasson, H. Bersini, 2008, The journal of physical chemistry. B.

Growing biological networks: beyond the gene-duplication model.

Tom Lenaerts, Hugues Bersini, F. C. Santos, 2006, Journal of theoretical biology.

Decomposition of Complex Reaction Networks into Reactons

Hugues Bersini, Axel Brandenburg, Raphael Plasson, 2008 .

Genealogical Trees of Scientific Papers

Hugues Bersini, H. Bersini, Michaël Charles Waumans, 2016, PloS one.

How affinity influences tolerance in an idiotypic network.

Hugues Bersini, Emma Hart, F. C. Santos, 2007, Journal of theoretical biology.

Recycling Frank: Spontaneous emergence of homochirality in noncatalytic systems.

Hugues Bersini, Auguste Commeyras, Raphaël Plasson, 2004, Proceedings of the National Academy of Sciences of the United States of America.

InSilico DB genomic datasets hub: an efficient starting point for analyzing genome-wide studies in GenePattern, Integrative Genomics Viewer, and R/Bioconductor

Hugues Bersini, Colin Molter, Ann Nowé, 2012, Genome Biology.

State-Transition Diagrams for Biologists

Hugues Bersini, David Klatzmann, Adrien Six, 2012, PloS one.

Reaction Mechanisms in the OO Chemistry

Hugues Bersini, 2000 .

The frustrated and compositional nature of chaos in small Hopfield networks

Hugues Bersini, P. Sener, 2000, 2000 2nd International Conference. Control of Oscillations and Chaos. Proceedings (Cat. No.00TH8521).