CHAPITRES DE LIVRES, PRESENTATIONS A DES CONFERENCES / BOOK CHAPTERS, CONFERENCE PRESENTATIONS.

Retour a la page Publications / Back to the Publications page

• A.M. Sanchez, A. Gaume, G. Dreyfus, F.-B. Vialatte,
  A cognitive brain-computer interface prototype for the continuous monitoring of visual working memory load,
  2015 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1 – 5, doi: 10.1109/MLSP.2015.7324370, Boston (2015).

• D.K. Emge, F.-B. Vialatte, G. Dreyfus, T. Adali,
  Independent vector analysis for SSVEP signal enhancement,
  49th Annual Conference on Information Sciences and Systems (CISS), pp. 1 – 6, doi: 10.1109/CISS.2015.7086864, Baltimore (2015).

• Q.-T. Ngo, P. Roussel, B. Denby, G. Dreyfus,
  Correcting non-line-of-sight path length estimation for ultra-wideband indoor localization,
  International Conference on Localization and GNSS (ICL-GNSS), doi/ 10.1109/ICL-GNSS.2015.7217140, Gothenburg (2015).

• K. Xu, Y. Yang, A. Jaumard-Hakoun, C. Leboullenger, G. Dreyfus, P. Roussel-Ragot, M. Stone, B. Denby,
  Development of a 3D tongue motion visualization platform based on ultrasound image sequences,
  18th International Congress on Phonetic Sciences (ICPhS 2015), Glasgow (2015).

• A. Jaumard-Hakoun, K. Xu, P. Roussel-Ragot, G. Dreyfus, M. Stone, B. Denby
  Tongue contour extraction from ultrasound images based on deep neural network,
  18th International Congress on Phonetic Sciences (ICPhS 2015), Glasgow (2015).

• Y. Tian, B. Denby, I. Ahriz, P. Roussel, G. Dreyfus,
  Hybrid indoor localization using GSM fingerprints, embedded sensors and a particle filter,
  11th International Symposium on Wireless Communications Systems (ISWCS), pp. 542 – 547, doi: 10.1109/ISWCS.2014.6933413, Barcelona (2014).

• A. Gaume, F. Vialatte, G. Dreyfus,
  Detection of steady-state visual evoked potentials using simulated trains of transient evoked potentials,
  IEEE FTFC 2014, pp. 1 – 4, doi: 10.1109/FTFC.2014.6828619, Monaco (2014).

• A. Duprat, J.L. Ploix,  F. Dioury, G. Dreyfus,
  Toward big data in QSAR/QSPR,
  2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1 – 6, doi: 0.1109/MLSP.2014.6958884, Reims (2014).

• A. Gaume, F. Vialatte, G. Dreyfus,
  Transient brain activity explains the spectral content of steady-state visual evoked potentials,
  IEEE Annual International Conference on Engineering in Medicine and Biology Society (EMBC), pp. 688 – 692, doi: 10.1109/EMBC.2014.6943684 (2014).

• S. K. Al Kork, A. Jaumard-Hakoun, M. Adda-Decker, A. Amelot, L. Buchman³, P. Chawah, G. Dreyfus, T. Fux, C. Pillot-Loiseau, P. Roussel, M. Stone, K. Xu , B. Denby,
  A Multi-Sensor Helmet to Capture Rare Singing, an Intangible Cultural Heritage Study,
  10th International Seminar on Speech Production (ISSP), 1, pp. 5 – 8, Köln (2014).
  
  
• K. Xu, Y. Yang, A. Jaumard-Hakoun, M. Adda-Decker, A. Amelot, S. K. Al Kork, L. Crevier-Buchman, P. Chawah, G. Dreyfus, T. Fux, C. Pillot-Loiseau, P. Roussel, M. Stone, B. Denby,
  3D Tongue Motion Visualization Based on Ultrasound Image Sequence,
  INTERSPEECH 2014, pp. 1482 – 1483, Singapore (2014).
  
  
• K. Boukharouba, P. Roussel, G. Dreyfus, A. Johannet
  Flash Flood Forecasting Using Support Vector Regression: An Event Clustering Based Approach
  IEEE International Workshop on Machine Learning for Signal Processing, Southampton (2013).
  
  
• P. Chawah, S. K. Al Kork, T. Fux, M. Adda-Decke, A. Amelot, N. Audibert, B. Denb, G. Dreyfus, A. Jaumard-Hakou, C. Pillot-Loiseau, P. Roussel, M. Stone, K. X, L. Crevier-Buchman,
  An Educational Platform to Capture, Visualize and Analyze Rare Singing,
  INTERSPEECH 2014, pp. 2218 – 2219, Singapore (2014).
  
  
• C-H Cappelaere, R. Dubois, P. Roussel, O. Baumann, A. Amblard, G. Dreyfus,
  Towards the selection of patients requiring ICD implantation by automatic classification from Holter monitoring indices,
  Computing in Cardiology Conference (CinC), pp. 1095 – 1098, Zaragoza, 2013.
  
  
• W. Zheng, F. B. Vialatte, P. Adibpour, C. Chen, A. Gaume, G. Dreyfus,
  Effect of Stimulus Size and Shape on Steady-State Visually Evoked Potentials for Brain-Computer Interface Optimization,
  International Joint Conference on Computer Intelligence (IJCCI), pp. 574 – 577, Vilamoura, Portugal (2013).
  
  
• Ye Tian, Bruce Denby, Iness Ahriz, Pierre Roussel, Rémi Dubois, Gérard Dreyfus
  Practical Indoor Localization using Ambient RF
  EEE International Instrumentation and Measurement Technology Conference (I2MTC), Minneapolis (2013).
  
  
• J. Cai, T. Hueber, S. Manitsaris, P. Roussel, L. Crevier-Buchman, M. Stone, C. Pillot-Loiseau, G. Chollet, G. Dreyfus, B. Denby
  Vocal Tract Imaging System for Post-Laryngectomy Voice Replacement
  IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Minneapolis (2013).
  
  
• N. Houmani, F. B. Vialatte, C. Latchoumane, J. Jeong, G. Dreyfus
  Stationary Epoch-based Entropy Estimation for Early Diagnosis of Alzheimer's Disease
  IEEE FTFC 2013, Paris (2013)
  
  
• A. Jaumard-Hakoun, S. K. Al Kork, M. Adda-Decker, A. Amelot, L. Crevier Buchman, G. Dreyfus, T. Fux, P. Roussel, C. Pillot-Loiseau, M. Stone, B. Denby,
  Capturing, Analyzing, and Transmitting Intangible Cultural Heritage with the i-Treasures Project,
  Ultrafest 6, Edinburgh (2013).
  
  
• O. Romain, B. Happi Tietche, B. Denby,
  Prototype of a Radio-on-demand Broadcast Receiver with Real Time Musical Genre Classification,
  Conference on Design and Architectures for Signal and Image Processing DASIP 2012, Karlsruhe, Germany (2012). (Best Demo Award)
  
  
• J. Thorey, P. Adibpour P., Y. Tomita, A. Gaume, H. Bakardjian, G. Dreyfus, F.B. Vialatte
  Fast BCI calibration: comparing methods to adapt BCI systems for new subjects
  International Conference on Neural Computation Theory and Applications, Barcelona (2012).
  
  
• K. Hiyoshi-Taniguchi, M. Kawasaki, T. Yokota, H. Bakardjian, H. Fukuyama, F.B. Vialatte, A. Cichocki
  EEG beta range dynamics and emotional judgments of face and voices
  International Conference on Neural Computation Theory and Applications, Barcelona (2012).
  
  
• A. Rathi, X. Zhang, F.B. Vialatte
  FPGA implementation of SOBI to perform BSS in real time
  International Conference on Neural Computation Theory and Applications, Barcelona (2012).
  
  
• J. Rokicki, K. Hiyosh, F. Vialatte, A. Usinkas, A. Cichocki
  Early Alzheimer's disease progression detection using Multi-subnetworks of the brain. (best student paper award)
  International Conference on Neural Computation Theory and Applications, Barcelona (2012).
  
  
• T. Hueber, G. Bailly, B. Denby,
  Continuous Articulatory-to-Acoustic Mapping using Phone-based Trajectory HMM for a Silent Speech Interface,
  Interspeech, Portland, USA (2012).
  
  
• Y. Tian, B. Denby, I. Ahriz, P. Roussel G. Dreyfus
  Fast, Handset-Based GSM Fingerprints for Indoor Localization
  9^th International Symposium on Wireless Communications and Systems, Paris (2012)
  
  
• G. Attuel, R. Dubois, N. Derval, and M. Haissaguerre,
  Looking for a new heart model to account for intermittency
  Chaotic modeling and simulation international conference, Athens (2012). 
  
  
• G. Attuel, R. Dubois, N. Derval, and M. Haissaguerre
  Chaos and intermittency in atrial fibrillation,
  12^th Experimental chaos and complexity conference, Ann Arbor, USA (2012).
  
  
• E. Gallego-Jutgla, M. Elgendi, F. Vialatte, J. Solé-Casals, A. Cichocki, C. Latchoumane, J. Jeong, J. Dauwels
  Diagnosis of Alzheimer's Disease from EEG by Means of Synchrony Measures in Optimized Frequency Bands
  34th Engineering in Medicine and Biology Society Conference, San Diego, USA (2012).
  
  
• S. Manitsaris, F. Xavier, B. Denby, G. Dreyfus, P. Roussel,
  An Open Source Speech Synthesis Module for a Visual-Speech Recognition System,
  Acoustics 2012, Nantes (2012).
  
  
• B. Happi, O. Romain, B. Denby, E.-L. Benaroya, S. Viateur,
  FPGA-Based Radio-on-Demand Broadcast Receiver with Musical Genre Identification,
  International Symposium on Industrial Electronics 2012, Hangzhou, China (2012).
  
  
• F. Extramiana, I. Denjoy, P. Maison-Blanche, M. Vaglio, P. Roussel, F. Badilini, A. Leenhardt, R. Dubois,
  LQT1 vs. LQT2 ECG phenotype adjudication: how does a machine learning classifier perform against Cardiology Experts?
  Heart Rhythm, Boston (2012).
  
  
• B. Happi, O. Romain, B. Denby, E.-L. Benaroya, F. De Dieuleveult, B. Granado, H. Kherimi, G. Chollet, D. Petrovska-Delecrétaz, R. Blouet,
  Software Radio FM Broadcast Receiver for Audio Indexing Applications,
  Industrial Conference on Industrial Technology 2012, Athens, Greece (2012).
  
  
• J. Cai, B. Denby, P. Roussel, G. Dreyfus, L. Crevier-Buchman,
  Recognition and Real Time Performances of a Lightweight Ultrasound Based Silent Speech Interface Employing a Language Model,
  Interspeech 2011, Florence, Italy (2011).
  
  
• T. Hueber, E.-L. Benaroya, B. Denby, G. Chollet,
  Statistical Mapping Between Articulatory and Acoustic Data for an Ultrasound-based Silent Speech Interface,
  Interspeech 2011, Florence, Italy (2011).
  
  
• A. Bornancin Plantier, A. Johannet, P. Roussel, G. Dreyfus
  Flash flood forecasting by neural networks without rainfall forecasts: model selection and generalization capability
  European Geosciences Union Meeting, Vienna (2011).
  
  
• B. Denby, J. Cai, T. Hueber, P. Roussel, G. Dreyfus, L. Crevier-Buchman, C. Pillot-Loiseau, G. Chollet, S. Manitsaris, M. Stone,
  Towards a Practical Silent Speech Interface Based on Vocal Tract Imaging,
  International Seminar on Speech Production 2011, Montréal, Canada (2011).
  
  
• M. Elgendi, F. Vialatte, M. Constable, J. Dauwels
  Immersive neurofeedback: a new paradigm
  International Conference on Neural Computation Theory and Applications, Paris (2011).
  
  
• K. Hiyoshi-Taniguchi, F. Vialatte, M. Kawasaki, H. Fukuyama, A. Cichocki
  Neurodynamics of emotional judgments in the human brain.
  International Conference on Neural Computation Theory and Applications, Paris (2011).
  
  
• Y. Tomita, A. Gaume, H. Bakardjian, M. Maurice, A. Cichocki, Y. Yamaguchi, G. Dreyfus, F. Vialatte
  Concatenation method for high temporal resolution SSVEP-BCI
  International Conference on Neural Computation Theory and Applications, Paris (2011).
  
  
• T. Hueber, P. Badin, G. Bailly, A. Ben Youssef, F. Elesei, B. Denby, G. Chollet,
  Statistical Mapping Between Articulatory and Acoustic Feedback. Application to Silent Speech Interface and Visual Articulatory Feedback,
  1^st International Workshop on Performative Speech and Singing Synthesis (P3S), Vancouver, Canada (2011).
  
  
• B. D. Lindsay, C. Ramanathan, S. Zuckerman, M. Strom, B. George, R. Dubois, and N. Varma,
  Accurate Noninvasive 3D Electrocardiographic Mapping of Focal and Macroreentrant Atrial Tachycardia,
  Heart Rhythm, San Fransisco (2011).
  
  
• B. Denby, J. Cai, P. Roussel, G. Dreyfus, L. Crevier-Buchman, C. Pillot-Loiseau, T. Hueber, G. Chollet,
  Tests of an Interactive, Phrasebook-Style Post-Laryngectomy Voice-Replacement System,
  International Congress of Phonetic Science 2011, Hong Kong (2011).
  
  
• B. D. Lindsay, R. Dubois, A. Shah, C. Ramanathan, S. Zuckerman, M. Strom, B. George, N. Varma, M. Hocini, P. Jais, M. Haissaguerre,
  Novel Directional Activation Map Using Local Propagation Between Adjacent Electrograms,
  Heart Rhythm, San Francisco (2011).
  
  
• M. Elgendi, F. Vialatte, A. Cichocki, J. Dauwels
  Optimization of EEG Frequency Bands for Improved Diagnosis of Alzheimer Disease
  33rd Engineering in Medicine and Biology Society Conference, Boston, USA (2011).
  
  
• J. Cai, T. Hueber, B. Denby, E.-L. Benaroya, G. Chollet, P. Roussel, G. Dreyfus, L. Crevier-Buchman,
  A Visual Speech Recognition System for an Ultrasound-Based Silent Speech Interface
  International Conference on Phonetic Science, Hong Kong (2011).
  
  
• L. Crevier-Buchman, C. Gendrot, B. Denby, C. Pillot-Loiseau, P. Roussel, A. Colazo-Simon, G. Dreyfus, T. Hueber,
  Articulatory Strategies for Lip and Tongue Movements in Silent versus Vocalized Speech
  International Congress of Phonetic Science 2011, Hong Kong (2011).
  
  
• G. Attuel, P. Attuel, N. Derval, L. Glass, and M. Haissaguerre
  Statistical monitoring of atrial fibrillation ?
  11^th Experimental chaos and complexity conference, Lille (2011). 
  
  
• G. Attuel, P. Attuel, N. Derval, and M. Haissaguerre,
  New approach in AF signal analysis. Statistical properties of the amplitude of the endocardial surface potential, during AF
  Heart Rhythm, San Francisco (2011).
  
  
• M. Elgendi, B. Rebsamen, A. Cichock, F. Vialatte, J. Dauwels
  Real-Time Wireless Sonification of Brain Signals
  3rd International Conference on Cognitive Neurodynamics, Hokkaido, Japan (2011)

• B. Degand, P. Milpied, R. Dubois, C. Henry, G. Dreyfus
  Atrial Activity Extraction in Single-Chamber Implantable Defibrillators
  Cardiostim 2010, Nice (2010).
  

• P. Milpied, R. Dubois, P. Roussel, C. Henry, G. Dreyfus
  Arrhythmia Classification using Spatial Projection of Tachycardia Electrograms
  Cardiostim 2010, Nice (2010).

• I. Ahriz, B. Denby, G. Dreyfus, R. Dubois, P. Roussel
  The ARPEGEO Project: A New Look at Cellular RSSI Fingerprints for Localization
  IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Istanbul (2010).
  
  
• T. Hueber, G. Chollet, B. Denby
  Ultraspeech, a portable system for acquisition of high-speed ultrasound, video and acoustic speech data
  Ultrafest V, New Haven, USA, 19-21 mars 2010.

• P. Milpied, R. Dubois, P. Roussel, C. Henry, G. Dreyfus
  Morphological Stability of Bipolar and Unipolar Endocardial Electrograms
  Computing in Cardiology, Belfast (2010).

• I. Ahriz, Y. Oussar, B. Denby, G. Dreyfus
  Carrier relevance study for indoor localization
  Workshop on Positioning, Navigation and Communication, WPNC'10, Dresden (2010).

• M. Toukourou, A. Johannet, G. Dreyfus,
  Flash Flood Forecasting by Statistical Learning in the Absence of Rainfall Forecast: a Case Study,
  Engineering Applications of Neural Networks EANN 2009, Londres (2009).
  
  
• T. Hueber, E. Benaroya, G. Chollet, B. Denby, G. Dreyfus, M. Stone
  Visuo-Phonetic Decoding using Multi-Stream and Context-Dependent Models for an Ultrasound-based Silent Speech Interface,
  Interspeech, Brighton (2009).
  
  
• P. Bouchet, R. Dubois, C. Henry, P. Roussel, G. Dreyfus,
  Spatial Projection of Tachycardia Electrograms for Morphology Discrimination in Implantable Cardioverter Defibrillator,
  Computers in Cardiology, Park City (2009).
  
  
• R. Dubois, P. Roussel, M. Vaglio, F. Extramiana, F. Badilini, P. Maison-Blanche, G. Dreyfus,
  Efficient modeling of ECG waves for morphology tracking,
  Computers in Cardiology, Park City (2009).
  
  
• R. Dubois, P. Roussel, M. Hocini, F. Sacher, M. Haissaguerre, G. Dreyfus,
  A Wavelet Transform for Atrial Fibrillation Cycle Length Measurements,
  Computers in Cardiology, Park City (2009).
  
  
• M. Pernot, E. Macé, R. Dubois, M. Couade, M. Fink, M. Tanter,
  Mapping myocardial elasticity changes after RF-ablation using Supersonic Shear Imaging,
  Computers in Cardiology, Park City (2009).
  
  
• Hai-Ni Qu, Y. Oussar, G. Dreyfus, Weng Xu
  Regularized Recurrent Least Squares Support Vector Machines
  International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing, Shanghai, 2009.
  
  
• P. Bouchet, R. Dubois, C. Henry, P. Roussel, G. Dreyfus,
  Machine learning for shock decision in implanted defibrillators,
  International Learning Workshop, Tampa (2009).
  
  
• Haini Qu, Y.Oussar, G. Dreyfus,
  Dynamic modeling by support vector machines,
  International Learning Workshop, Tampa (2009).
  
  
• B. Denby, Y. Oussar, I. Ahriz, G. Dreyfus,
  High-Performance Indoor Localization with Full-Band GSM Fingerprints,
  International Conference on Communications ICC 2009, Dresden (2009).
  
  
• B. Denby
  The silent speech Interface: A New Paradigm for Universal Human-Human and Human-Computer Interaction
  Cognitive Systems with Interactive Sensors, COGIS'09, Paris, 16-18 novembre, 2009.
  
  
• T. Hueber, B. Denby
  Analyse du conduit vocal par imagerie ultrasonore
  L'imagerie médicale pour l'étude de la parole, A. Marchal, C. Cavé, Eds., Traité Cognition et Traitement de l'Information, IC2, Hermes Science, 2009.
  
  
• T. Hueber, G. Chollet, B. Denby, G. Dreyfus, M. Stone,
  Towards a Segmental Vocoder Driven by Ultrasound and Optical Images of the Tongue and Lips
  Interspeech, pp. 2028-2031, Brisbane, Australia (2008).

• T. Hueber, G. Chollet, B. Denby, G. Dreyfus, M. Stone,
  Phone Recognition from Ultrasound and Optical Video Sequences for a Silent Speech Interface
  Interspeech, pp. 2032 - 2035, Brisbane, Australia (2008) .
  
  
• T. Hueber, G. Chollet, B. Denby, M. Stone
  Acquisition of ultrasound, video and acoustic speech data for a silent-speech interface application
  Proceedings of the International Seminar on Speech Production (Strasbourg, France), pp. 365-369 (2008).

• T. Hueber, G. Chollet, B. Denby, G. Dreyfus, M. Stone,
  Continuous-Speech Phone Recognition from Ultrasound and Optical Images of the Tongue and Lips
  Interspeech, Anvers (2007).
  

• T. Hueber, G. Aversano, G. Chollet, B. Denby, G. Dreyfus, Y. Oussar, P. Roussel, M. Stone
  Eigentongue feature extraction for an ultrasound-based silent speech interface
  International Conference on Acoustics, Signal and Speech Processing (ICASSP), Honolulu (2007).
  

• B. Denby, Y. Oussar, I. Ahriz
  Geolocalisation in Cellular Telephone  Networks
  Proceedings of NATO 2007 Advanced Study Institute on Mining Massive Data Sets for Security, 
  F. Fogelman-Soulié, D. Perrotta, J. Piskorski & R. Steinberger, Eds., IOS Press, pp. 357-365, 
  Amsterdam ( 2008).
  
  
• Chollet, G., Landais, R., Hueber, T., Bredin, H., Mokbel, C., Perrot, P., Zouari
  Some Experiments in Audio-Visual Speech Processing
  Advances in Nonlinear Speech Processing, vol 4885, pp. 28-56, Springer (2007).

• A. Goulon, A. Duprat, G. Dreyfus
  Virtual Leave-One-Out Estimation of Generalization Error
  International Learning Workshop, Puerto Rico (2007)
  

• T.Hueber, G.Chollet, B. Denby, M. Stone,L. Zouari
  Ouisper: Corpus Based Synthesis Driven by Articulatory Data
  International Conference on Phonetic Science (ICPhS), Saarbrücken, Germany (2007).
  

• G. Dreyfus
  Random probes for variable selection
  Multiple Simultaneous Hypothesis Testing, Paris (2007)
  

• Olivier Romain, Bruce Denby
  Prototype of a software-defined broadcast media indexing engine
  International Conference on Acoustics, Signal and Speech Processing (ICASSP), Honolulu (2007)
  

• A .Goulon-Sigwalt-Abram, A. Duprat, G. Dreyfus
  Graph Machines and Their Applications to Computer-Aided Drug Design: a New Approach to Learning from Structured Data
  Unconventional Computing 2006, Lecture Notes in Computer Science, vol. 4135, pp. 1 - 19, Springer (2006)
  
  
• Ginette Horcholle-Bossavit
  Emergence of spatio-temporal codes in models of insect olfactory networks
  The functional architectureof the brain: from dendrites to neurons, Symposium in honor of Dr. Suzanne Tyc-Dumont, Marseille (2006)

• Abdeddayem Haggui, Fabrice Extramiana, Pierre Maison-Blanche, Rémi Dubois, Julien Seitz, Paul Milliez, Bruno Cauchemez, Philippe Beaufils, Antoine Leenhardt.
  Stabilité dans le temps des parametres de l'onde T évalués par analyse en composantes principales.
  XVIemes Journées Francaises de Cardiologie (2006)
  
  
• Bruce Denby, Yacine Oussar, Gérard Dreyfus, Maureen Stone
  Prospects for a silent speech interface using ultrasound imaging
  International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)
  
  
• G. Dreyfus, I. Guyon
  Assessment methods (tutorial chapter)
  "Feature extraction, foundations and applications", edited by I. Guyon,  S. Gunn, M. Nikravesh and L. Zadeh (Springer-Verlag, 2005)
  
  
• O. Foucard , G. Horcholle-Bossavit , B. Quenet
  Oscillation and coding in a formal neural network considered as a guide for plausible simulations of the insect olfactory system
  6th International Neural Coding Workshop, August 2005, Marburg, Germany
  
  
• F. Vialatte, A. Cichocki, G. Dreyfus, T. Musha, T. M. Rutkowski, R. Gervais
  Blind Source Separation and Sparse Bump Modelling of Time-Frequency Representation of EEG Signals: New Tools for Early Detection of Alzheimer's Disease
  Machine Learning for Signal Processing (MLSP 2005)
  
  
• F. Vialatte, A. Cichocki, G. Dreyfus, T. Musha, S. L. Shishkin, R. Gervais
  Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signals (invited presentation).
  Lecture Notes in Computer Science, vol. 3696, pp. 683-692, Springer (2005) .
  
  
• G. Dreyfus
  Model and variable selection for nonlinear model design: some developments and methodology (invited plenary presentation)
  Engineering Application of Neural Networks (EANN 2005)
  
  
• A .Goulon-Sigwalt-Abram, A. Duprat, G. Dreyfus
  Learning numbers from graphs
  Applied Statistical Modeling  and Data Analysis (2005)
  
  
• A .Goulon-Sigwalt-Abram, A. Duprat, G. Dreyfus
  Graph Machines
  International Workshop on Learning (2005), invited presentation.
  
  
• Y. Oussar, G. Dreyfus
  Generalized leverages and generalization error
  International Workshop on Learning (2004), invited presentation.
  
  
• G. Dreyfus, Y. Oussar
  Non-linear black-box model selection (invited plenary presentation)
  Neural Networks for Signal Processing (2003).
  
  
• F. Vialatte, C. Martin, N. Ravel, B. Quenet, G. Dreyfus, R. Gervais
  Oscillatory activity, behaviour and memory, new approaches for LFP signal analysis
  35th meeting of the European Brain and Behaviour Society, Barcelona (2003).
  
  
• B. Quenet, A. Wohrer, G. Horcholle-Bossavit, G. Dreyfus
  Biological Counterpart of a Multistate Neuron Matrix Synapse
  6th International Workshop on Neural Coding, Aulla, Italie (2003).
  
  
• R. Dubois, B. Quenet, Y. Faisandier, G. Dreyfus
  Modeling Beats with Bumps
  International Workshop on Learning, Snowbird (2003), invited presentation.
  
  
• B. Quenet, D. Horn, R. Dubois, S. Sirapian, G. Dreyfus
  Dynamic Neural Filter of Hodgkin-Huxley units
  International Workshop on Learning, Snowbird (2002)
  
  
• B. Quenet, S. Sirapian, R. Dubois, G. Dreyfus
  Generation of Olfactory Neural Codes by a Network of Hodgkin-Huxley Neurones
  4th International Workshop on Neural Coding, Plymouth, UK (2001)
  
  
• P. Roussel, F. Moncet, B. Barrieu, A. Viola
  Modélisation d'un processus dynamique a l'aide de réseaux de neurones bouclés. Application a la modélisation de la relation pluie-hauteur d'eau dans un réseau d'assainissement et a la détection de défaillance de capteur.
  Innovative technologies in urban drainage, 1, 919-926, G.R.A.I.E. (2001)
  
  
• C. Dreyfus, G. Dreyfus
  Machine Learning Approaches to Formulation
  FORMULA III, New Concepts and Strategies in Formulation : from Laboratory to Industry (2001)
  
  
• M. Stricker, F. Vichot, G. Dreyfus, F. Wolinski
  Training Context-Sensitive Neural Networks with Few Relevant Examples for the TREC-9 Routing
  Text REtrieval Conference 9, Gaithersburgh (2000)
  
  
• F. Wolinski, F. Vichot, M. Stricker
  Using Learning-Based Filters to Detect Rule-based Filtering Obsolescence
  RIAO'2000, Paris (2000).
  
  
• M. Stricker, F. Vichot, G. Dreyfus, F. Wolinski
  Towards the Automatic Design of Efficient Custom Filters
  RFIA'2000, Paris (2000).
  
  
• B. Quenet, D. Horn, G. Dreyfus
  Temporal Coding in an Olfactory Oscillatory Model
  Computation and Neural Systems, Bruges (2000).
  
  
• Y. Oussar, G. Dreyfus
  Training Complex Dynamic Knowledge-Based Models
  "Learning" Conference, Snowbird (2000), présentation invitée.
  
  
• B. Quenet, G. Dreyfus, D. Horn
  The Codes Observed in Oscillating Neural Assemblies of the Olfactory Pathway May Be Reproduced by a Simple Neural Network
  Neural Computing in Science and Technology, NCST'99, Tel Aviv (1999).
   
• M. Stricker, F. Vichot, G. Dreyfus, F. Wolinski
  Two-Step Feature Selection and Neural Network Classification for the TREC-8 Routing
  Eighth International Text REtrieval Conference (TREC-8), Gaithersburg (1999).
  
  
• G. Dreyfus, Y. Oussar, J.L. Ploix
  Knowledge-based Dynamic Neural Modeling of Industrial Processes
  Neural Computing in Science and Technology, NCST'99, Tel Aviv (1999), conférence invitée.
   
• B. Quenet, G. Dreyfus, D. Horn
  A Simple Neural Network with Adapted Synaptic Weights May Account for the Codes Observed in Oscillating Neural Assemblies of the Olfactory Pathway.
  "Learning" Conference, Snowbird (1999), présentation invitée.
  
  
• P. Roussel-Ragot, C. Graff
  La modélisation par des gaussiennes des décharges électriques de poissons Mormyridae permet d'étudier quels compromis ont conduit a la forme de ces décharges.
  4eme Colloque de la Société des Neurosciences, Marseille (1999).
  
  
• G. Monari, G. Dreyfus
  Local Linear least Squares: Performing Leave-One-Out Without Leaving Anything Out
  "Learning" Conference, Snowbird (1999), présentation invitée.
  
  
• B. Quenet, G. Dreyfus, D. Horn
  Codage spatio-temporel des odeurs par un modele du niveau glomérulaire de la voie olfactive.
  4eme colloque de la Société des Neurosciences, Marseille (1999).
  
  
• L. Constant, P. Lagarrigues, B. Dagues, I. Rivals, L. Personnaz
  Modeling of Electromechanical Systems Using Neural Networks
  Computational Intelligence and Applications, P. S. Szczepaniak (ed.), (Physica-Verlag, c/o Springer-Verlag, 1999).
  
  
• I. Opher, D. Horn, B. Quenet
  Clustering with Spiking Neurons
  International Conference on Artificial Neural Networks ICANN 99, IEE Conf. Publication 470, pp. 485-490 (1999)
  
  
• L. Constant, B. Dagues, I. Rivals, L. Personnaz
  Undersampling for the training of feedback neural networks on large sequences; application to the modeling of an induction machine
  6th IEEE International Conference on Electronics, Circuits and Systems ICECSS'99, Chypre (1999).
  
  
• B. Quenet, G. Dreyfus, C. Masson
  From Complex Signal to Adapted Behavior: a theoretical approach of the honeybee olfactory brain
  Neuronal Information Processing - From Biological Data to Modelling and Applications, O. Parodi, ed. (World Scientific, 1998).
   
• L. Constant, R. Ruelland, B. Dagues, I. Rivals, L. Personnaz
  Identification and validation of a neural network estimating the fluxes of an induction machine
  Proceedings of the 6th International Conference on Modelling and Simulation of Electric Machines, Converters and Systems ELECTRIMACS'99, Lisbonne (1999).
  
  
• G. Dreyfus
  Reducing the Complexity of Neural Nets for Industrial Applications and Biological Models
  Neuronal Information Processing - From Biological Data to Modelling and Applications, O. Parodi, ed. (World Scientific, 1998).
   
• L. Oukhellou, P. Aknin, H. Stoppiglia, G. Dreyfus
  A New Decision Criterion for Feature Selection: Application to the Classification of Non Destructive testing Signatures
  European SIgnal Processing COnference (EUSIPCO'98), Rhodes (1998)
   
• I. Rivals, L. Personnaz
  Construction of confidence intervals in neural modeling using a linear Taylor expansion.
  International Workshop on Advanced Black-Box Techniques for Nonlinear Modeling: Theory and Applications (Leuven-Belgium, 1998).
   
• B. Quenet, G. Dreyfus, V. Cerny
  The effects of internal noise, asynchrony and synaptic modifications on the coding properties of a simple model of the glomerular stage.
  International Workshop on "Machines that Learn" (1998), présentation invitée.
  
  
• L. Constant, P. Lagarrigues, B. Dagues, I. Rivals, L. Personnaz
  Neural Modeling of an Induction Machine
  9th International Symposium on System-Modeling-Control (SMC'98) (Zakopane-Poland, 1998).
   
• H. Stoppiglia, G. Dreyfus
  Model Selection by Random Variable Generation
  "Machines that Learn" (1998).
  
  
• JL. Ploix, G. Dreyfus
  Early fault detection in a distillation column: an industrial application of knowledge-based neural modelling
  Neural Networks: Best Practice in Europe, B. Kappen, S. Gielen, eds, pp. 21-31 (World Scientific, 1997).
   
• I. Rivals, L. Personnaz
  Internal Model Control using Neural Networks
  IEEE International Symposium on Industrial Electronics ISIE'96 (Warsaw, 1996).
   
• H. Gutowitz
  Cellular automata and the science of complexity,
  Complexity vol 1, nos 5, 6 (1996).
   
• Brigitte Quenet, Gérard Dreyfus, Pierre Roussel-Ragot et Vlado Cerny
  Propriétés de codage d'un modele de la voie olfactive : étude analytique, et simulations, de l'influence du bruit synaptique.
  Colloque de la Société des Neurosciences, Bordeaux (1997).
  
  
• G. Dreyfus, Y. Idan
  The Canonical Form of Nonlinear Discrete-time Models
  International Workshop on "Machines that Learn" (1997).
  
  
• B. Quenet, G. Dreyfus, V. Cerny
  The Effect of the Synaptic Noise on the Coding Properties of a Model of the Olfactory System: Analytical study and simulations
  International Workshop on "Machines that Learn" (1997).
  
  
• H. Stoppiglia, Y. Idan, G. Dreyfus
  Neural-Network-Aided Portfolio Management
  Industrial Applications of Neural Networks., F. Fogelman-Soulié, P. Gallinari, eds. (World Scientific, 1997).
   
• J.L. Ploix, G. Dreyfus
  Knowledge-based Neural Modeling: Principles and Industrial Applications
  Industrial Applications of Neural Networks., F. Fogelman-Soulié, P. Gallinari, eds. (World Scientific, 1997).
   
• B. Quenet, G. Dreyfus, C. Masson
  Towards an Analytically Tractable Model of the Olfactory System
  International Workshop on Neural Networks for Computing (1996). Invited presentation.
  
  
• I. Rivals, L. Personnaz, G. Dreyfus, J.L. Ploix
  Modélisation, classification et commande par réseaux de neurones : principes fondamentaux, méthodologie de conception et illustrations industrielles
  Les réseaux de neurones pour la modélisation et la commande de procédés, J.P. Corriou, coordonnateur (Lavoisier Tec & Doc, 1995).
   
• J.L. Ploix, G. Dreyfus
  Knowledge-Based Neural Networks for the Modeling of Complex Industrial Systems
  International Workshop on Neural Networks for Computing (1995).
  
  
• I. Rivals, L. Personnaz, G. Dreyfus
  From Conventional Control to Robust Neural Control: a Methodology
  International Workshop on Neural Networks for Computing (1995) (Présentation invitée).
  
  
• I. Rivals, L. Personnaz
  Black-box Modeling with State-Space Neural Networks
  in: Neural Adaptive Control Technology R. Zbikowski and K.J. Hunt, eds. (World Scientific, 1995).
  
  
• D. Price, S. Knerr, L. Personnaz, G. Dreyfus
  Pairwise Neural Network Classifiers with Probabilistic Outputs
  Neural Information Processing Systems 7 (1994).
  
  
• C. Linster, D. Marsan, C. Masson, M. Kerszberg
  Odor processing in the bee: a preliminary study of the role of central input to the antennal lobe
  In Advances in Neural Information Processing Systems 6, Cowan, J.D., Tesauro, G.,
  Alspector, J. (eds), Morgan Kaufmann Publishers: 527-534 (1994).
  
  
• I. Rivals, D. Canas, L. Personnaz, G. Dreyfus
  Modeling and Control of Mobile Robots and Intelligent Vehicles by Neural Networks
  IEEE Conference on Intelligent Vehicules (Paris , 1994).
   
• J.L. Ploix, G. Dreyfus, J.P. Corriou, D. Pascal
  From Knowledge-based Models to Recurrent Networks: an Application to an Industrial Distillation Process,
  Neuro-Nîmes'94.
   
• I. Rivals, L. Personnaz, G. Dreyfus, D. Canas
  Modeling and Control of a Wheeled Mobile Robot Using Recurrent Neural Networks : an Application to the Path Following Problem
  International Workshop on Neural Networks for Computing (1994).
  
  
• D. Urbani, P. Roussel-Ragot, L. Personnaz, G. Dreyfus
  The Selection of Neural Models of Non-linear Dynamical Systems by Statistical Tests
  Neural Networks for Signal Processing IV, 229-237 (IEEE, 1993).
   
• I. Rivals, L. Personnaz, G. Dreyfus, D. Canas
  Real-time Control of an Autonomous Vehicle : a Neural Network Approach to the Path Following Problem
  5th International Conference on Neural Networks and their Applications (Nîmes , 1993).
   
• C. Linster, D. Marsan, C. Masson, M. Kerszberg, G. Dreyfus, L. Personnaz
  A Formal Model of the Insect Olfactory Macroglomerulus: Simulations and Analytical Results
  Neural Information Processing Systems 5, S.J. Hanson, J.D.Cowan, C. Lee Giles, eds, pp 1022-1029 (Morgan Kaufmann Publishers, 1993).
   
• O. Nerrand, L. Personnaz G. Dreyfus
  Non-Linear Recursive Identification and Control by Neural Networks: a General Framework
  Proc. European Control Conference ECC'93, vol. 1, pp. 93-98 (Groningen, 1993).
   
• G. Dreyfus, O. Macchi, S. Marcos, O. Nerrand, L. Personnaz, P. Roussel-Ragot, D. Urbani, C. Vignat
  Adaptive Training of Feedback Neural Networks for Non-Linear Adaptive Filtering
  Neural Networks for Signal Processing II, 550 (IEEE, 1992).
   
• P. Roussel-Ragot, G. Dreyfus
  Parallel Annealing by Multiple Trials : an Experimental Study on a Transputer Network,
  Simulated Annealing : Parallelization Techniques, R. Azencott, ed. (Wiley, 1992).
   
• S. Knerr, L. Personnaz, G. Dreyfus
  From Theory to Silicon : an Efficient Procedure for the Design of "Neural" Classifiers and its Application to the Automatic Recognition of Handwritten Digits,
  4th International Conference on Neural Networks and their Applications Neuro-Nîmes'91 (Nîmes, 1991).
   
• O. Nerrand, P. Roussel-Ragot, L. Personnaz, G. Dreyfus, S. Marcos, O. Macchi, C. Vignat
  Feedback Neural Networks for Non-linear Adaptive Filtering,
  4th International Conference on Neural Networks and their Applications Neuro-Nîmes'91 (Nîmes, 1991).
  
  
• P.Y. Alla, G. Saucier, S. Knerr, L. Personnaz, G. Dreyfus
  Design and implementation of a dedicated neural network for handritten digit recognition
  Silicon Architectures for Neural Nets (Elsevier, 1991) 
  
  
• S. Knerr, L. Personnaz, G. Dreyfus
  A New Approach to the Design of Neural Network Classifiers and its Application to the Automatic Recognition of Handwritten Digits,
  International Joint Conference on Neural Networks (Seattle, 1991).
  
  
• P.Y. Alla, G. Dreyfus, J.D. Gascuel, A. Johannet, L. Personnaz, J. Roman, M. Weinfeld
  Silicon integration of learning algorithm and other auto-adaptive properties in a digital feedback neural network
  Microelectronics for Neural Networks, U. Ramacher, ed. (1991)
  
  
• O. Nerrand, P. Roussel-Ragot, L. Personnaz, G. Dreyfus, S. Marcos, O. Macchi, C. Vignat
  Neural Network Training Schemes for Non-linear Adaptive Filtering and Modelling,
  International Joint Conference on Neural Networks (Seattle, 1991).
   
• S. Knerr, L. Personnaz, G. Dreyfus
  Single-layer Learning Revisited : a Stepwise Procedure for Building and Training a Neural Network,
  Neuro Computing, Algorithms, Architectures and Applications (Elsevier, 1990).
  
  
• L. Personnaz, G. Dreyfus
  Neural network models and applications: an overview
  Modelling the innovation: communication, automation and information systems (North-Holland, 1990)
  
  
• A. Petrowski, L. Personnaz, G. Dreyfus, C. Girault
  Parallel implementations of neural network simulations
  Hypercube and distributed computers (North Holland, 1989)
  
  
• G. Dreyfus, L. Personnaz, E. Bienenstock
  What's wrong with neural networks ?
  Neuro-Nîmes (1989)
  
  
• L. Personnaz, A. Johannet, G. Dreyfus
  Problems and trends in integrated neural networks
  Connectionism in persepctive (Elesevier, 1989)
  
  
• G. Dreyfus, A. Zippelius
  Graph recognition by neural networks
  Neural Networks, from models to applications (IDSET, Paris, 1988).
  
  
• E. Bienenstock, R. Doursat
  Elastic matching and pattern recognition in neural networks
  Neural Networks, from models to applications (IDSET, Paris, 1988).
  
  
• L. Personnaz, A. Johannet, G. Dreyfus, M. Weinfeld
  Towards a neural network chip: a performance assessment and a simple example
  Neural Networks, from models to applications (IDSET, Paris, 1988).
  
  
• I. Guyon, L. Personnaz, G. Dreyfus
  Of points and loops
  Neural computers, NATO ASI Series vol. 41 (1988)
  
  
• I. Guyon, L. Personnaz, P. Siarry, G. Dreyfus
  Engineering applications of spin glass concepts
  Heidelberg Colloquium on glassy dynamics, Lecture notes in Physics vol. 275 (Springer, 1987)
  
  
• L. Personnaz, I. Guyon, G. Dreyfus
  Neural network design for efficient information retrieval
  Disorderd systems and biological organization, NATO ASI series vol. 20 (Springer, 1986)

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