European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning



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Program



The programme below is provisional: it is currently being checked for possible errors. Please come back to this page and check that this message has disappeared!

Disclaimer: the following conference program is generated automatically from the information entered by the authors in the ESANN submissions database. If you find any error or omission (title changed between the submission and the final version, missing authors, authors in incorrect order, etc.), please make the correction through your access to the submission page of your paper. There is one correction that cannot be made by the authors themselves: the details of an author already entered into the database cannot be edited (change of university, swapping between first and last name, etc.). If you have to change your details in the database, please send an e-mail to esann@dice.ucl.ac.be.

We cannot acomodate specific requests for changes in the programme (change of day of presentation, etc.); thank you for your understanding.


Wednesday 26 April 2017
 09h00 Opening

 09h10 Deep and kernel methods: best of two worlds
Organized by Lluís A. Belanche, Marta R. Costa-jussà (Universitat Politècnica de Catalunya, Barcelona, Spain)
 09h10 Bridging deep and kernel methods
 
  • Lluis Belanche, Universitat Politecnica de Catalunya (Spain)
  • Marta Costa-jussa, Universitat Politecnica de Catalunya (Spain)
 09h30 Structure optimization for deep multimodal fusion networks using graph-induced kernels
 
  • Dhanesh Ramachandram, University of Guelph (Canada)
  • Michal Lisicki, University of Guelph (Canada)
  • Timothy J. Shields, SRI International (USA)
  • Mohamed R. Amer, SRI International (USA)
  • Graham W. Taylor, University of Guelph (Canada)
 09h50 Scalable Hybrid Deep Neural Kernel Networks
 
  • Siamak Mehrkanoon, KU Leuven (Belgium)
  • Andreas Zell, University of Tuebingen (Germany)
  • Johan A. K. Suykens, KU Leuven (Belgium)
 10h10 Learning dot-product polynomials for multiclass problems
 
  • Ivano Lauriola, Department of Mathematics, University of Padova (Italy)
  • Michele Donini, Computational Statistics and Machine Learning (CSML) Istituto Italiano di Tecnologia (Italy)
  • Fabio Aiolli, Department of Mathematics, University of Padova (Italy)
 10h30 Support vector components analysis
 
  • Michiel van der Ree, Semiotic Labs (The Netherlands)
  • Jos Roerdink, Johann Bernoulli Institute for Mathematics and Computer Science - University of Groningen (The Netherlands)
  • Christophe Phillips, Cyclotron Research Centre - University of Liège (Belgium)
  • Gaëtan Garraux, Cyclotron Research Centre - University of Liège (Belgium)
  • Eric Salmon, Cyclotron Research Centre - University of Liège (Belgium)
  • Marco Wiering, University of Groningen - Institute for Artificial Intelligence and Cognitive Engineering (The Netherlands)

 10h50 Deep and kernel methods: best of two worlds
Poster spotlights
 10h50 Algebraic multigrid support vector machines
 
  • Ehsan Sadrfaridpour, School of Computing - Clemson University (USA)
  • Sandeep Jeereddy, Innovation Lab - BMW Group IT Research Center (United States)
  • Ken Kennedy, Innovation Lab - BMW Group IT Research Center (United States)
  • Andre Luckow, Innovation Lab - BMW Group IT Research Center (United States)
  • Talayeh Razzaghi, School of Computing - Clemson University (United States)
  • Ilya Safro, School of Computing - Clemson University (United States)
 10h51 Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks
 
  • Stephan Baier, Ludwig Maximilian University (Germany)
  • Sigurd Spieckermann, Siemens AG, Corporate Technology (Germany)
  • Volker Tresp, Siemens AG, Corporate Technology - Ludwig Maximilian University (Germany)
 10h52 Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks
 
  • Danut Ovidiu Pop, INRIA Paris, RITS Team - INSA de Rouen, Laboratoire LITIS - EA 4108 - Department of Computer Science Babes¸-Bolyai University (France, Romania)
  • Alexandrina Rogozan, INSA de Rouen - Laboratoire LITIS - EA 4108 (France)
  • Fawzi Nashashibi, INRIA Paris - RITS Team (France)
  • Abdelaziz Bensrhair, INSA de Rouen - Laboratoire LITIS - EA 4108 (France)
 10h53 Training convolutional networks with weight–wise adaptive learning rates
 
  • Alan Mosca, Birkbeck, University of London - Department of Computer Science and Information Systems (United Kingdom)
  • George Magoulas, Birkbeck, University of London - Department of Computer Science and Information Systems (United Kingdom)
 10h54 Invariant representations of images for better learning
 
  • Muthuvel Murugan Issakkimuthu, Chennai Mathematical Institute (India)
  • Subrahmanyam K. V., Chennai Mathematical Institute (India)
 10h55 Feature Extraction for On-Road Vehicle Detection Based on Support Vector Machine
 
  • Samuel Giatti Silva Filho, Pontifical Catholic University of Parana (PUCPR) - Industrial and Systems Graduate Program (PPGPS) - Polytechnic School (EP) (Brazil)
  • Roberto Freire, Pontifical Catholic University of Parana (PUCPR) - Industrial and Systems Graduate Program (PPGPS) - Polytechnic School (EP) (Brazil)
  • Leandro dos Santos Coelho, Pontifical Catholic University of Parana (PUCPR) - Industrial and Systems Engineering Graduate Program (PPGEPS) - Polytechnic School (EP) (Brazil)
 10h56 Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks
 
  • Wolfgang Groß, PSIORI GmbH (Deutschland)
  • Sascha Lange, PSIORI GmbH (Germany)
  • Joschka Bödecker, University of Freiburg - Machine Learning Lab (Germany)
  • Manuel Blum, PSIORI GmbH (Germany)

 10h57 Coffee break

 11h15 Randomized Machine Learning approaches: analysis and developments
Organized by Claudio Gallicchio (Univ. Pisa, Italy), José D. Martín-Guerrero (Univ. Valencia, Spain), Alessio Micheli (Univ. Pisa), Emilio Soria (Univ. Valencia)
 11h15 Randomized Machine Learning Approaches: Recent Developments and Challenges
 
  • Claudio Gallicchio, Department of Computer Science - University of Pisa (Italy)
  • José D. Martín-Guerrero, Universitat de València (Spain)
  • Alessio Micheli, Department of Computer Science - University of Pisa (Italy)
  • Emilio Soria-Olivas, Universitat de València (Spain)
 11h35 Fisher memory of linear Wigner echo state networks
 
  • Peter Tino, University of Birmingham (UK)
 11h55 Generalization Performances of Randomized Classifiers and Algorithms built on Data Dependent Distributions
 
  • Luca Oneto, University of Genoa - DIBRIS Department (Italy)
  • Sandro Ridella, University of Genoa - DITEN Department (Italy)
  • Davide Anguita, University of Genoa - DIBRIS Department (Italy)
 12h15 ELM Preference Learning for Physiological Data
 
  • Davide Bacciu, Università di Pisa (Italy)
  • Michele Colombo, BioBeats Group Ltd (UK)
  • Davide Morelli, Biobeats Group Ltd (UK)
  • David Plans, University of Surrey (UK)

 12h35 Randomized Machine Learning approaches: analysis and developments
Poster spotlights
 12h35 Advanced query strategies for Active Learning with Extreme Learning Machines
 
  • Anton Akusok, Aracada University of Applied Sciences (Finland)
  • Emil Eirola, Arcada University of Applied Sciences (Finland)
  • Yoan Miche, Nokia Bell Labs (Finland)
  • Andrey Gritsenko, The University of Iowa - Department of Mechanical and Industrial Engineering (USA)
  • Amaury Lendasse, The University of Iowa - Department of Mechanical and Industrial Engineering (USA)
 12h36 Random projection initialization for deep neural networks
 
  • Piotr Iwo Wójcik, AGH University of Science and Technology - Faculty of Computer Science, Electronics and Telecommunications - Department of Computer Science (Poland)
  • Marcin Kurdziel, AGH University of Science and Technology - Faculty of Computer Science, Electronics and Telecommunications - Department of Computer Science (Poland)

 12h37 Lunch

 14h05 Classification
 14h05 Fine-grained event learning of human-object interaction with LSTM-CRF
 
  • Tuan Do, Brandeis University - Brandeis University - Brandeis University (United States)
  • James Pustejovsky, Computer Science Department - Brandeis University (United States)
 14h25 Distance metric learning: a two-phase approach
 
  • Bac Nguyen, Ghent University (Belgium)
  • Carlos Morell, Universidad Central de Las Villas (Cuba)
  • Bernard De Baets, Ghent University (Belgium)
 14h45 An EM transfer learning algorithm with applications in bionic hand prostheses
 
  • Benjamin Paassen, Center of Excellence Cognitive Interaction Technology - Bielefeld University (Germany)
  • Alexander Schulz, Center of Excellence Cognitive Interaction Technology - Bielefeld University (Germany)
  • Janne Hahne, Neurorehabilitaiton Systems Research Group - Department of Trauma Surgery, Orthopedic Surgery and Hand Surgery - Universiy Medical Center Göttingen, Germany (Germany)
  • Barbara Hammer, Center of Excellence Cognitive Interaction Technology - Bielefeld University (Germany)

 15h05 Classification
Poster spotlights
 15h05 Dropout Prediction at University of Genoa: a Privacy Preserving Data Driven Approach
 
  • Luca Oneto, University of Genoa - DIBRIS Department (Italy)
  • Anna Siri, University of Genova - DIMA Department (Italy)
  • Gianvittorio Luria, University of Genova - DIMA Department (Italy)
  • Davide Anguita, University of Genoa - DIBRIS Department (Italy)
 15h06 Physical activity recognition from sub-bandage sensors using both feature selection and extraction
 
  • Eleonora D'Andrea, University of Pisa - Department of Information Engineering (Italy)
  • Fabio Di Francesco, University of Pisa - Department of Chemistry and Industrial Chemistry (Italy)
  • Valentina Dini, University of Pisa - Department of Dermatology, Wound Healing Research Unit (Italy)
  • Beatrice Lazzerini, University of Pisa - Dept. of Information Engineering (Italy)
  • Marco Romanelli, University of Pisa - Department of Dermatology, Wound Healing Research Unit (Italy)
  • Pietro Salvo, National Council of Research - Institute of Clinical Physiology (IFC-CNR) - University of Pisa - Department of Chemistry and Industrial Chemistry (Italy)
 15h07 A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets
 
  • Romero Morais, Universidade Federal de Pernambuco (Brasil)
  • Pericles Miranda, Universidade Federal de Pernambuco (Brasil)
  • Ricardo Silva, Universidade Federal de Pernambuco (Brasil)
 15h08 Large-scale nonlinear dimensionality reduction for network intrusion detection
 
  • Yasir Hamid, Department of C.S.E. - Pondicherry Engineering College (India)
  • Ludovic Journaux, LE2I UMR6306, CNRS, Univ. Bourgogne Franche-Comté, AgroSup Dijon, France (France)
  • John Aldo Lee, Université catholique de Louvain - Molecular Imaging, Radiotherapy, and Oncology (Belgium)
  • Lucile Sautot, AgroParistech, UMR TETIS , Maison de la télédétection (France)
  • Nabi Bushra, Department of Botany - University of Kashmir (Kashmir)
  • M. Sugumaran, Department of C.S.E., Pondicherry Engineering College (India)
 15h10 Acceleration of Prototype Based Models with Cascade Computation
 
  • Cem Karaoguz, ENSTA ParisTech - UIIS Lab (France)
  • Alexander Gepperth, University of Applied Sciences Fulda (Germany)
 15h11 Automatic crime report classi cation through a weightless neural network
 
  • Rafael Adnet Pinho, Universidade Federal do Rio de Janeiro - Programa de pós-graduação em Informática (Brazil)
  • Walkir Brito, Universidade Federal do Rio de Janeiro - Programa de pós-graduação em Informática (Brazil)
  • Claudia Motta, Universidade Federal do Rio de Janeiro - Programa de pós-graduação em Informática (Brazil)
  • Priscila Lima, Universidade Federal do Rio de Janeiro - Programa de pós-graduação em Informática (Brazil)
 15h12 Efficient Neural-based patent document segmentation with Term Order Probabilities
 
  • Danilo Silva de Carvalho, Japan Advanced Institute of Science and Technology (Japan)
  • Minh-Le Nguyen, Japan Advanced Institute of Science and Technology (Japan)

 15h14 Biomedical data analysis in translational research: integration of expert knowledge and interpretable models
Org. by G.Bhanot (Rutgers U., USA), M. Biehl (U. Groningen, NL), T. Villmann (U. Mittweida), D. Zühlke (7 Principles, Germany)
 15h14 Biomedical data analysis in translational research: integration of expert knowledge and interpretable models
 
  • Gyan Bhanot, Rutgers University, Department of Molecular Biology and Biochemistry, Piscataway, NJ 08854, USA (USA)
  • Michael Biehl, Intelligent Systems - Johann Bernoulli Institute for Mathematics and Computer Science - University of Groningen (The Netherlands)
  • Thomas Villmann, University of Applied Sciences Mittweida - Computational Intelligence and Technomathematics (Germany)
  • Dietlind Zühlke, Seven Principles AG (Germany)
 15h34 Feature Relevance Bounds for Linear Classification
 
  • Christina Göpfert, Bielefeld University - CITEC centre of excellence (Germany)
  • Lukas Pfannschmidt, DiDy IRTG - Bielefeld University (Germany)
  • Barbara Hammer, Center of Excellence Cognitive Interaction Technology - Bielefeld University (Germany)
 15h54 Prediction of preterm infant mortality with Gaussian process classification
 
  • Olli-Pekka Rinta-Koski, Aalto University School of Science - Department of Computer Science (Finland)
  • Simo Särkkä, Aalto University School of Electrical Engineering - Department of Electrical Engineering and Automation (Finland)
  • Jaakko Hollmén, Aalto University School of Science - Department of Computer Science (Finland)
  • Markus Leskinen, University of Helsinki, and Helsinki University Hospital (Finland)
  • Sture Andersson, University of Helsinki, and Helsinki University Hospital (Finland)

 16h14 Biomedical data analysis in translational research: integration of expert knowledge and interpretable models
Poster spotlights
 16h14 Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders
 
  • Sreejita Ghosh, Intelligent Systems - Johann Bernoulli Institute for Mathematics and Computer Science - University of Groningen (The Netherlands)
  • Elizabeth Sarah Baranowski, Institute of Metabolism and Systems Research - University of Birmingham (UK)
  • Rick van Veen, De Montfort University (UK)
  • Gert-Jan de Vries, Philips Research, Department of Chronic Disease Management (The Netherlands)
  • Michael Biehl, Intelligent Systems - Johann Bernoulli Institute for Mathematics and Computer Science - University of Groningen (The Netherlands)
  • Wiebke Arlt, Institute of Metabolism and Systems Research - University of Birmingham (United Kingdom)
  • Peter Tino, University of Birmingham (UK)
  • Kerstin Bunte, Intelligent Systems - Johann Bernoulli Institute for Mathematics and Computer Science - University of Groningen (The Netherlands)

 16h15 Coffee break and poster exhibition

 18h00 Guided visit of Bruges (walking tour)


Thursday 27 April 2017
 09h00 Environmental signal processing: new trends and applications
Organized by Gilles Delmaire, Matthieu Puigt, Gilles Roussel (Université du Littoral Côte d'Opale, France)
 09h00 Environmental signal processing: new trends and applications
 
  • Matthieu Puigt, Univ. Littoral Côte d'Opale - LISIC - EA 4491 (FRANCE)
  • Gilles Delmaire, Univ. Littoral Côte d'Opale - LISIC - EA 4491 (FRANCE)
  • Gilles Roussel, Univ. Littoral Côte d'Opale - LISIC - EA 4491 (FRANCE)
 09h20 Solving Inverse Source Problems for Sources with Arbitrary Shapes using Sensor Networks
 
  • John Murray-Bruce, Imperial College London (United Kingdom)
  • Pier Luigi Dragotti, Imperial College London (United Kingdom)
 09h40 Non-negative decomposition of geophysical dynamics
 
  • Manuel Lopez-Radcenco, Institut Mines-Télécom - Télécom Bretagne - UMR CNRS 6285 Lab-STICC ( France)
  • Abdeldjalil Aïssa-El-Bey, Institut Mines-Télécom - Télécom Bretagne - UMR CNRS 6285 Lab-STICC (France)
  • Pierre Ailliot, Université de Brest - UMR CNRS 6205 LMBA ( France)
  • Ronan Fablet, Institut Mines-Télécom - Télécom Bretagne - UMR CNRS 6285 Lab-STICC (France)
 10h00 Impact of the initialisation of a blind unmixing method dealing with intra-class variability
 
  • Charlotte REVEL, IRAP (FRANCE)
  • Yannick DEVILLE, Institut de Recherche en Astrophysique et Planetologie (IRAP) (FRANCE)
  • Véronique ACHARD, DOTA - ONERA Toulouse (FRANCE)
  • Xavier BRIOTTET, ONERA Toulouse (FRANCE)

 10h20 Environmental signal processing: new trends and applications
Poster spotlights
 10h20 Application of Tensor and Matrix Completion on Environmental Sensing Data
 
  • Michalis Giannopoulos, Department of Computer Science, University of Crete - Foundation for Research & Technology - Hellas (FORTH) (Greece)
  • Sofia Savvaki, Department of Computer Science, University of Crete - Foundation for Research & Technology - Hellas (FORTH) (Ελλάδα)
  • Grigorios Tsagkatakis, Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) (Greece)
  • Panagiotis Tsakalides, Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) - Department of Computer Science, University of Crete (Greece)
 10h21 Indoor air pollutant sources using Blind Source Separation Methods
 
  • Rachid OUARET, Université Paris Est, CERTES EA 3481 - (Centre d'Etudes et de Recherche en Thermique, Environnement et Systèmes) - Université Paris-Est Créteil (France)
  • Anda IONESCU, Université Paris Est, CERTES EA 3481 - (Centre d'Etudes et de Recherche en Thermique, Environnement et Systèmes) - Université Paris-Est Créteil (France)
  • Olivier RAMALHO, Université Paris Est, CSTB - Centre Scientifique et Technique du Bâtiment - Direction Santé Confort / Division Expologie - Observatoire de la qualité de l'air intérieur (France)
  • Yves CANDAU, Université Paris Est, CERTES EA 3481 - (Centre d'Etudes et de Recherche en Thermique, Environnement et Systèmes) - Université Paris-Est Créteil (France)
 10h22 High dimensionality voltammetric biosensor data processed with artificial neural networks
 
  • Andreu González-Calabuig, Universitat Autonoma de Barcelona (Spain)
  • Georgina Faura, Universitat Autonoma de Barcelona (Spain)
  • Manel del Valle, Universitat Autonoma de Barcelona (Spain)

 10h23 Coffee break

 10h45 Kernels, graphs and clustering
 10h45 Learning sparse models of diffusive graph signals
 
  • Shuyu Dong, Université catholique de Louvain - ICTEAM, INMA (Belgium)
  • Dorina Thanou, Ecole polytechnique fédérale de Lausanne - LTS4 (Switzerland)
  • Pierre-Antoine Absil, Université catholique de Louvain - ICTEAM (Belgium)
  • Pascal Frossard, Ecole polytechnique fédérale de Lausanne (Switzerland)
 11h05 The Conjunctive Disjunctive Node Kernel
 
  • Dinh Tran Van, Department of Mathematics, Padova University (Italy)
  • Alessandro Sperduti, Department of Mathematics, Padova University (Italy)
  • Fabrizio Costa, Albert-Ludwigs-Universität Freiburg (Germany)
 11h25 POKer: a Partial Order Kernel for Comparing Strings with Alternative Substrings
 
  • Maryam Abdollahyan, Queen Mary University of London (UK)
  • Fabrizio Smeraldi, Queen Mary University of London (UK)
 11h45 Accelerating stochastic kernel SOM
 
  • Jérôme Mariette, INRA (France)
  • Fabrice Rossi, SAMM, Université Paris 1 (France)
  • Madalina Olteanu, SAMM, Université Paris 1 (France)
  • Nathalie Villa-Vialaneix, INRA (France)
 12h05 Viral initialization for spectral clustering
 
  • Vahan Petrosyan, KTH Royal Institute of Technology (Sweden)
  • Alexandre Proutiere, KTH Royal Institute of Technology (Sweden)

 12h25 Kernels, graphs and clustering
Poster spotlights
 12h25 Approximated Neighbours MinHash Graph Node Kernel
 
  • Nicolò Navarin, Department of Mathematics - University of Padova (Italy)
  • Alessandro Sperduti, Department of Mathematics, Padova University (Italy)
 12h26 Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning
 
  • Michele Donini, Computational Statistics and Machine Learning (CSML) Istituto Italiano di Tecnologia (Italy)
  • Nicolò Navarin, Department of Mathematics - University of Padova (Italy)
  • Ivano Lauriola, Department of Mathematics, University of Padova (Italy)
  • Fabio Aiolli, Department of Mathematics, University of Padova (Italy)
  • Fabrizio Costa, Albert-Ludwigs-Universität Freiburg (Germany)
 12h27 A Simple Cluster Validation Index with Maximal Coverage
 
  • Susanne Jauhiainen, University of Jyvaskyla - Faculty of Information Technology (Finland)
  • Tommi Karkkainen, University of Jyvaskyla - Faculty of Information Technology (Finland)
 12h28 The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study
 
  • Patrick Glauner, Interdisciplinary Centre for Security, Reliability and Trust - University of Luxembourg (Luxembourg)
  • Manxing Du, Interdisciplinary Centre for Security, Reliability and Trust - University of Luxembourg (Luxembourg)
  • Victor Paraschiv, Numbers of others (United Kingdom)
  • Andrey Boytsov, Interdisciplinary Centre for Security, Reliability and Trust - University of Luxembourg (Luxembourg)
  • Isabel Lopez Andrade, American Express (United Kingdom)
  • Jorge Augusto Meira, Interdisciplinary Centre for Security, Reliability and Trust - University of Luxembourg (Luxembourg)
  • Petko Valtchev, Interdisciplinary Centre for Security, Reliability and Trust - University of Luxembourg (Luxembourg)
  • Radu State, Interdisciplinary Centre for Security, Reliability and Trust - University of Luxembourg (Luxembourg)

 12h30 Lunch

 14h00 Regression, robots and biological systems
 14h00 Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation
 
  • Pierre-Yves Gousenbourger, Université catholique de Louvain - ICTEAM (Belgium)
  • Estelle Massart, Université catholique de Louvain - ICTEAM (Belgium)
  • Antoni Musolas, MIT - Dept. of Aeronautics and Astronautics (USA)
  • Pierre-Antoine Absil, Université catholique de Louvain - ICTEAM (Belgium)
  • Julien M. Hendrickx, Université catholique de Louvain - ICTEAM (Belgium)
  • Laurent Jacques, Université catholique de Louvain - ICTEAM (Belgium)
  • Youssef Marzouk, MIT - Dept. of Aeronautics and Astronautics (USA)
 14h20 Reducing variance due to importance weighting in covariate shift bias correction
 
  • Van-Tinh Tran, University of Lyon 1 - Laboratoire d'InfoRmatique en Image et Systèmes d'information, UMR 5205 (France)
  • Alex Aussem, Université Lyon 1 - Laboratoire d'InfoRmatique en Image et Systèmes d'information - UMR 5205 (France)
 14h40 Complex activity patterns generated by short-term synaptic plasticity
 
  • Bulcsu Sandor, Institute for Theoretical Physics, Goethe University Frankfurt (Germany)
  • Claudius Gros, Institute for Theoretical Physics - Goethe University Frankfurt (Germany)
 15h00 Criticality in Biocomputation
 
  • Tjeerd olde Scheper, Department of Computing and Communication Technologies - Oxford Brookes University (United Kingdom)

 15h20 Regression, robots and biological systems
Poster spotlights
 15h20 Scholar Performance Prediction using Boosted Regression Trees Techniques
 
  • Bernardo Stearns, Universidade Federal do Rio de Janeiro (Brazil)
  • Fabio Rangel, Universidade Federal do Rio de Janeiro (Brazil)
  • Flavio Rangel, Universidade Federal do Rio de Janeiro (Brazil)
  • Fabrício Faria, Universidade Federal do Rio de Janeiro (Brazil)
  • Jonice Oliveira, Universidade Federal do Rio de Janeiro (Brazil)
 15h21 Imitation learning for a continuum trunk robot
 
  • Milad Malekzadeh Shafaroudi, Institute for Robotics and Process Control - Technische Universität Braunschweig (Germany)
  • Jeffrey F. Queißer, Research Institute of Cognition and Robotics - Bielefeld University - CoR-Lab, University of Bielefeld (Germany)
  • Jochen J. Steil, Institute for Robotics and Process Control (IRP) - Technische Universität Braunschweig (Germany)
 15h22 ELM vs. WiSARD: a performance comparison
 
  • Luiz Oliveira, PESC - COPPE - UFRJ (Brasil)
  • Felipe França, PESC/COPPE/UFRJ (Brazil)
 15h23 A novel principle for causal inference in data with small error variance
 
  • Patrick Blöbaum, Osaka University (Japan)
  • Shohei Shimizu, Osaka University (Japan)
  • Takashi Washio, Osaka University (Japan)
 15h24 Learning null space projections fast
 
  • Jeevan Manavalan, King's College London (United Kingdom)
  • Matthew Howard, King's College London (United Kingdom)
 15h25 Comparison of adaptive MCMC methods
 
  • Edna Milgo, Vrije Universiteit Brussel (Belgium)
  • Nixon Ronoh, Vrije Universiteit Brussel (Belgium)
  • Peter Waiganjo Wagacha, University of Nairobi (Kenya)
  • Bernard Manderick, Vrije Universiteit Brussel (Belgium)
 15h26 Pseudo-analytical solutions for stochastic options pricing using Monte Carlo simulation and Breeding PSO-trained neural networks
 
  • Sam Palmer, Department of Computer Science - University College London (UK)
  • Denise Gorse, Department of Computer Science - University College (UK)
 15h27 Spikes as regularizers
 
  • Anders Søgaard, University of Copenhagen - Dpt. of Computer Science (Denmark)
 15h28 Moving Least Squares Support Vector Machines for weather temperature prediction
 
  • Zahra Karevan, KU Leuven (Belgium)
  • Yunlong Feng, KU Leuven (Belgium)
  • Johan A. K. Suykens, KU Leuven (Belgium)
 15h29 A Robust Minimal Learning Machine based on the M-Estimator
 
  • João Gomes, Federal University of Ceará (Brazil)
  • Diego Mesquita, Federal University of Ceará (Brazil)
  • Ananda Freire, Federal Institute of Ceará (Brazil)
  • Amauri Souza Junior, Federal Institute of Technology (Brazil)
  • Tommi Karkkainen, University of Jyvaskyla - Faculty of Information Technology (Finland)

 15h30 Processing, Mining and Visualizing Massive Urban Data
Organized by Etienne Côme (UPE-Ifsttar, France), Pierre Borgnat (ENS Lyon, France), Latifa Oukhellou (UPE-Ifsttar, France)
 15h30 Processing, mining and visualizing massive urban data
 
  • Pierre Borgnat, Univ Lyon, Ens de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, France (France)
  • Etienne Côme, Ifsttar (France)
  • Latifa Oukhellou, Institut français des sciences et technologies des transports, - de l’aménagement et des réseaux (IFSTTAR) (France)
 15h50 Anomaly detection and characterization in smart card logs using NMF and Tweets
 
  • Emeric Tonnelier, UPMC - Sorbonne Université - LIP6 - CNRS (France)
  • Nicolas Baskiotis, UPMC - Sorbonne Université - LIP6 - CNRS (France)
  • Vincent Guigue, UPMC - Sorbonne Université - LIP6 - CNRS - UPMC - Sorbonne Université - LIP6 - CNRS - UPMC - Sorbonne Université - LIP6 - CNRS (France)
  • Patrick Gallinari, UPMC - Sorbonne Université - LIP6 - CNRS (France)
 16h10 Using degree constrained gravity null-models to understand the structure of journeys' networks in bicycle sharing systems
 
  • Remy Cazabet, UPMC (France)
  • Pierre Borgnat, Univ Lyon, Ens de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, France (France)
  • Pablo Jensen, Univ Lyon, Ens de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Physique, France (France)
 16h30 A neuro-symbolic approach to GPS trajectory classification
 
  • Diego Carvalho, Centro Federal de Educação Tecnológica Celso Suckow da Fonseca (Brazil)
  • Felipe França, PESC/COPPE/UFRJ (Brazil)
  • Raul Barbosa, PESC/COPPE - UFRJ (Brazil)
  • Douglas Cardoso, Centro Federal de Educação Tenológica Celso Suckow da Fonseca - Campus Petrópolis (Brazil)

 16h50 Processing, Mining and Visualizing Massive Urban Data
Poster spotlights
 16h50 Non-negative matrix factorization as a pre-processing tool for travelers temporal profiles clustering
 
  • Léna Carel, CREST, ENSAE, Université Paris Saclay and TransDev GROUP (France)
  • Pierre Alquier, CREST, ENSAE, Université Paris Saclay (France)
 16h51 Extracting urban water usage habits from smart meter data: a functional clustering approach
 
  • Nicolas Cheifetz, Veolia Eau d'Ile-de-France (France)
  • Allou Same, IFSTTAR (France)
  • Zineb Sabir, CEA - Commissariat à l'énergie atomique et aux énergies alternatives (France)
  • Anne-Claire Sandraz, Veolia Eau d'Ile de France (France)
  • Cédric Féliers, Veolia Eau d'Ile de France (France)
 16h52 Multiscale Spatio-Temporal Data Aggregation and Mapping for Urban Data Exploration
 
  • Anaïs Remy, SNCF Innovation & Recherche (France)
  • Etienne Côme, Ifsttar (France)
 16h53 Detection of non-recurrent road traffic events based on clustering indicators
 
  • Pierre-Antoine Laharotte, IFSTTAR Lyon (France)
  • Romain Billot, TELECOM Bretagne Lab-STICC (France)
  • Nour-Eddin El Faouzi, IFSTTAR Lyon (France)

 16h54 Coffee break and poster exhibition

 18h45 Visit of "De Halve Maan" brewery

 19h30 Conference dinner at "De Halve Maan" brewery


Friday 28 April 2017
 09h00 Signal and image processing, collaborative filtering
 09h00 Collaborative filtering with neural networks
 
  • Josef Feigl, University of Leipzig - Department of Computer Engineering (Germany)
  • Martin Bogdan, Leipzig University - Computer Engineering (Germany)
 09h20 Investigating optical transmission error correction using wavelet transforms
 
  • Weam Binjumah, The Community College - Department of Computer Science - Taibah University (KSA)
  • Alexey Redyuk, Institute of Computational Technologies SB RAS (Russia)
  • Rod Adams, The School of Computer Science - University of Hertfordshire (UK)
  • Neil Davey, The School of Computer Science - University of Hertfordshire (UK)
  • Yi Sun, Collage Lane (UK)
 09h40 WiSARDrp for Change Detection in Video Sequences
 
  • Massimo De Gregorio, Istituto di Scienze Applicate e Sistemi Intelligenti - CNR (Italy)
  • Giordano Maurizio, Istituto di Calcolo e Reti ad Alte Prestazioni - CNR (Italy)
 10h00 Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns
 
  • Eyal Ben Zion, Ben Gurion University of the Negev (Israel)
  • Boaz Lerner, Ben Gurion University of the Negev (Israel)

 10h20 Signal and image processing, collaborative filtering
Poster spotlights
 10h20 Hierarchical Combination of Video Features for Personalised Pain Level Recognition
 
  • Patrick Thiam, Institute of Neural Information Processing - University Ulm - Germany (Germany)
  • Viktor Kessler, Institute of Neural Information Processing - University Ulm - Germany (Germany)
  • Friedhelm Schwenker, Institute of Neural Information Processing - University Ulm - Germany (Germany)
 10h21 A performance acceleration algorithm of spectral unmixing via subset selection
 
  • Jing Ke, University of New South Wales - Commonwealth Scientific and Industrial Research Organization (CSIRO) (Australia)
  • Yi Guo, School of Computing, Engineering and Mathematics, Western Sydney University (Australia)
  • Arcot Sowmya, School of Computer Science and Engineering, University of New South Wales (Australia)
  • Tomasz Bednarz, Data 61, Commonwealth Scientific and Industrial Research Organization (Australia)
 10h22 Myoelectrical signal classification based on S transform and two-directional 2DPCA
 
  • Hong-Bo Xie, Queensland University of Technology (Australia)
  • Hui Liu, Jiangsu University (China)
 10h23 Hyper-spectral frequency selection for the classification of vegetation diseases
 
  • Klaas Dijkstra, NHL University of Applied Sciences (Netherlands)
  • Jaap van de Loosdrecht, NHL University of Applied Sciences - Centre of Expertise in Computer Vision (Nederland)
  • Lambert Schomaker, University of Groningen (Netherlands)
  • Marco Wiering, University of Groningen - Institute for Artificial Intelligence and Cognitive Engineering (The Netherlands)
 10h24 Outlining a simple and robust method for the automatic detection of EEG arousals
 
  • Isaac Fernández-Varela, Universidade da Coruña - Departamento de Computación (Spain)
  • Diego Álvarez-Estévez, Universidade da Coruña - Departamento de Computación (Spain)
  • Elena Hernández-Pereira, Universidade da Coruña - Departamento de Computación (Spain)
  • Vicente Moret-Bonillo, Universidade da Coruña - Departamento de Computación (Spain)
 10h25 A decision support system based on cellular automata to help the control of late blight in tomato cultures
 
  • Gizelle Vianna, Universidade Federal Rural do Rio de Janeiro - Department of Mathematics (Brazil)
  • Gustavo Oliveira, Universidade Federal Rural do Rio de Janeiro - Department of Mathematics (Brazil)
  • Gabriel Cunha, Universidade Federal Rural do Rio de Janeiro - Department of Mathematics (Brazil)
 10h26 Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features
 
  • Adrian Ion-Margineanu, KU Leuven (Belgium)
  • Sofie Van Cauter, UZ Leuven (Belgium)
  • Diana M Sima, KU Leuven (Belgium)
  • Frederik Maes, KU Leuven (Belgium)
  • Stefaan Sunaert, UZ Leuven (Belgium)
  • Uwe Himmelreich, KU Leuven (Belgium)
  • Sabine Van Huffel, KU Leuven (Belgium)
 10h27 Latent variable analysis in hospital electric power demand using non-negative matrix factorization
 
  • Diego García, University of Oviedo (SPAIN)
  • Ignacio Díaz, University of Oviedo (SPAIN)
  • Daniel Pérez, University of Oviedo (SPAIN)
  • Abel Cuadrado, University of Oviedo (SPAIN)
  • Manuel Domínguez, University of Leon (SPAIN)
 10h28 Supporting generative models of spatial behavior by user interaction
 
  • Ronny Hug, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) (Deutschland)
  • Wolfgang Hübner, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) (Deutschland)
  • Michael Arens, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) (Deutschland)

 10h30 Coffee break

 10h50 Algorithmic Challenges in Big Data Analytics
Org. by V. Bolon-Canedo, A. Alonso-Betanzos (Univ. A Coruña), B. Remeseiro (Univ. Barcelona, Spain), D. Martinez-Rego (U. College London, UK), K. Sechidis (Univ. Manchester, UK)
 10h50 Algorithmic challenges in big data analytics
 
  • Verónica Bolón-Canedo, Universidade da Coruña (Spain)
  • Beatriz Remeseiro, Universitat de Barcelona (Spain)
  • Konstantinos Sechidis, The University of Manchester (UK)
  • David Martínez-Rego, Universidade de A Coruña (Spain)
  • Amparo Alonso-Betanzos, Universidade de A Coruña (Spain)
 11h10 Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification
 
  • Xiang Jiang, Faculty of Computer Science, - Institute for Big Data Analytics - Dalhousie University (Canada)
  • Erico N de Souza, Faculty of Computer Science, - Institute for Big Data Analytics - Dalhousie University (Canada)
  • Xuan Liu, Faculty of Computer Science, - Institute for Big Data Analytics - Dalhousie University (Canada)
  • Behrouz Haji Soleimani, Faculty of Computer Science, - Institute for Big Data Analytics - Dalhousie University (Canada)
  • Xiaoguang Wang, Faculty of Computer Science, - Dalhousie University (Canada)
  • Daniel L. Silver, Jodrey School of Computer Science - Acadia University (Canada)
  • Stan Matwin, Faculty of Computer Science, Institute for Big Data Analytics, Dalhousie University - Institute of Computer Science, Polish Academy of Sciences (Canada)
 11h30 Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing
 
  • Carlos Eiras-Franco, Universidade de A Coruña (Spain)
  • Leslie Kanthan, University College of London (United Kingdom)
  • Amparo Alonso-Betanzos, Universidade de A Coruña (Spain)
  • David Martínez-Rego, Universidade de A Coruña (Spain)
 11h50 Degrees of Freedom in Regression Ensembles
 
  • Reeve Henry, University of Manchester (UK)
  • Gavin Brown, University of Manchester - School of Computer Science (United Kingdom)

 12h10 Algorithmic Challenges in Big Data Analytics
Poster spotlights
 12h10 Mutual information for improving the efficiency of the SCH algorithm
 
  • Diego Fernandez-Francos, University of A Coruña (Spain)
  • Oscar Fontenla-Romero, University of A Coruña (Spain)
  • Amparo Alonso-Betanzos, Universidade de A Coruña (Spain)
  • Gavin Brown, University of Manchester - School of Computer Science (United Kingdom)
 12h11 A distributed approach for classification using distance metrics
 
  • Laura Morán-Fernández, Universidade da Coruña (Spain)
  • Verónica Bolón-Canedo, Universidade da Coruña (Spain)
  • Amparo Alonso-Betanzos, Universidade de A Coruña (Spain)

 12h12 Lunch

 13h40 Deep learning
 13h40 Local Lyapunov Exponents of Deep RNN
 
  • Claudio Gallicchio, Department of Computer Science - University of Pisa (Italy)
  • Alessio Micheli, Department of Computer Science - University of Pisa (Italy)
  • Luca Silvestri, - (-)
 14h00 Learning Semantic Prediction using Pretrained Deep Feedforward Networks
 
  • Jörg Wagner, Robert Bosch GmbH (Germany)
  • Volker Fischer, Robert Bosch GmbH (Germany)
  • Michael Herman, Robert Bosch GmbH (Germany)
  • Sven Behnke, University of Bonn - Computer Science Institute VI - Autonomous Intelligent Systems (Germany)
 14h20 Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure
 
  • Bruno Ordozgoiti, Universidad Politécnica de Madrid (Spain)
  • Alberto Mozo, Universidad Politécnica de Madrid (Spain)
  • Sandra Gómez Canaval, Universidad Politécnica de Madrid (Spain)
  • Udi Margolin, Nokia Israel (Israel)
  • Elisha Rosensweig, Nokia Israel (Israel)
  • Itai Segall, Nokia Israel (Israel)
 14h40 Real-time convolutional networks for sonar image classification in low-power embedded systems
 
  • Matias Valdenegro-Toro, Heriot-Watt University (United Kingdom)

 15h00 Deep learning
Poster spotlights
 15h00 Approximate operations in Convolutional Neural Networks with RNS data representation
 
  • Valentina Arrigoni, Universita' degli Studi di Milano - Dipartimento di Matematica (Italy)
  • Beatrice Rossi, STMicroelectronics - AST (Italy)
  • Pasqualina Fragneto, STMicroelectronics - AST (Italy)
  • Giuseppe Desoli, STMicroelectronics - AST (Italy)
 15h01 Learning convolutional neural network to maximize Pos@Top performance measure
 
  • Yanyan Geng, Provincial Key Laboratory for Computer Information Processing Technology - Soochow University (China)
  • Liang Ru-Ze , King Abdullah University of Science and Technology (Saudi Arabia)
  • Weizhi Li, Suning Commerce R&D Center USA, Inc. (USA)
  • Jingbin Wang, Information Technology Service Center - Intermediate People's Court of Linyi City (China)
  • Liang Gaoyuan , Jiangsu University of Technology (China)
  • Xu Chenhao , New York University Abu Dhabi (United Arab Emirates)
  • Wang Jing-Yan, Provincial Key Laboratory for Computer Information Processing Technology - Soochow University (China)
 15h02 Active learning strategy for CNN combining batchwise Dropout and Query-By-Committee
 
  • Melanie Ducoffe, Univ. Nice Sophia Antipolis - UMR CNRS-UNS 7271 - Laboratoire I3S (France)
  • Frederic Precioso, Univ. Nice Sophia Antipolis - UMR CNRS-UNS 7271 - Laboratoire I3S (France)
 15h03 A Deep Q-Learning Agent for L-Game with Variable Batch Training
 
  • Petros Giannakopoulos, National and Kapodistrian University of Athens - Department of Informatics and Telecommunications (Greece)
  • Yannis Cotronis, National and Kapodistrian University of Athens - Dept of Informatics and Telecommunications (Greece)
 15h04 TimeNet: Pre-trained deep recurrent neural network for time series classification
 
  • Pankaj Malhotra, TCS Research (India)
  • VIshnu TV, TCS Research (India)
  • Lovekesh Vig, TCS Research (India)
  • Puneet Agarwal, TCS Research (India)
  • Gautam Shroff, TCS Research (India)
 15h06 Uncertain photometric redshifts via combining deep convolutional and mixture density networks
 
  • Antonio D'Isanto, HITS gGmbH - Heidelberg Institute for Theoretical Studies (Germany)
  • Kai Lars Polsterer, HITS gGmbH - Heidelberg Institute for Theoretical Studies (Germany)
 15h07 Feature Extraction and Learning for RSSI based Indoor Device Localization
 
  • Stavros Timotheatos, Institute of Computer Science - Foundation for Research and Technology Hellas (FORTH) - Department of Computer Science, University of Crete (Greece)
  • Grigorios Tsagkatakis, Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) (Greece)
  • Panagiotis Tsakalides, Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) - Department of Computer Science, University of Crete (Greece)
  • Panos Trahanias, Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH) - Department of Computer Science, University of Crete (Greece)

 15h08 Coffee break and poster exhibition

 16h45 End of conference




For any information: Michel Verleysen - esann@uclouvain.be