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26th European Symposium On Artificial Neural Networks, Computational
Intelligence and Machine Learning
Bruges (Belgium), 25-26-27-28 April 2018 |
Programme
Wednesday 25 April 2018
| | 09h10 | | Deep learning and image processing | | | 09h10 | | A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition | | | - Henrique Siqueira, Knowledge Technology - Department of Informatics - University of Hamburg (Germany)
- Pablo Barros, Knowledge Technology - Department of Informatics - University of Hamburg (Germany)
- Sven Magg, Knowledge Technology - Department of Informatics - University of Hamburg (Germany)
- Cornelius Weber, University of Hamburg (Germany)
- Stefan Wermter, Department of Informatics, Universitaet Hamburg (Germany)
| | | 09h30 | | interpretation of convolutional neural networks for speech regression from electrocorticography | | | - Miguel Angrick, Cognitive Systems Lab - University of Bremen (Germany)
- Christian Herff, Cognitive Systems Lab. - University of Bremen (Germany)
- Garett Johnson, ASPEN Lab - Old Dominion University (USA)
- Jerry Shih, Epilepsy Center - UC San Diego Health (USA)
- Dean Krusienski, ASPEN Lab - Old Dominion University (USA)
- Tanja Schultz, Cognitive Systems Lab - University of Bremen (Germany)
| | | 09h50 | | transferring style in motion capture sequences with adversarial learning | | | - QI WANG, Ecole Centrale de Marseille (France)
- Mickael CHEN, Laboratoire d'Informatique de Paris 6 - Universit\'e Pierre et Marie Curie (France)
- Thierry Arti�res, Ecole Centrale de Marseille - LIF, AixMarseille Universit\'e - CNRS UMR 7279 (France)
- Ludovic Denoyer, Laboratoire d'Informatique de Paris 6 - Universit\'e Pierre et Marie Curie (France)
| | | 10h10 | | Properties of adv−1 � Adversarials of Adversarials | | | - Nils Worzyk, University of Oldenburg - Department of Computing Science - Computational Intelligence (Germany)
- Oliver Kramer, University of Oldenburg - Department of Computer Science - Computational Intelligence (Germany)
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| | 10h30 | | Deep learning and image processing
Poster spotlights | | | 10h30 | | An analysis of subtask-dependency in robot command interpretation with dilated CNNs | | | - Manfred Eppe, University of Hamburg (Germany)
- Tayfun Alpay, University of Hamburg (Germany)
- Fares Abawi, University of Hamburg (Germany)
- Stefan Wermter, Department of Informatics, Universitaet Hamburg (Germany)
| | | 10h31 | | Image retrieval and ranking through Deep Comparative Neural Networks | | | - Aymen Cherif, Eura Nova (Belgium)
- Salim Jouili, Eura Nova (Belgium)
| | | 10h32 | | Incremental learning with deep neural networks using a test-time oracle | | | - Alexander Gepperth, University of Applied Sciences Fulda (Germany)
- Saad Abdullah Gondal, University of Applied Sciences Fulda (Germany)
| | | 10h33 | | Image-to-Text Transduction with Spatial Self-Attention | | | - Sebastian Springenberg, Universit�t Hamburg - Department of Informatics - WTM (Germany)
- Egor Lakomkin, University of Hamburg - Department of Informatics - Knowledge Technology Research Group (Germany)
- Cornelius Weber, University of Hamburg (Germany)
- Stefan Wermter, Department of Informatics, Universitaet Hamburg (Germany)
| | | 10h34 | | Hierarchical Recurrent Filtering for Fully Convolutional DenseNets | | | - J�rg Wagner, Bosch Center for Artificial Intelligence (Germany)
- Volker Fischer, Bosch Center for Artificial Intelligence (Germany)
- Michael Herman, Bosch Center for Artificial Intelligence (Germany)
- Sven Behnke, University of Bonn - Computer Science Institute VI - Autonomous Intelligent Systems (Germany)
| | | 10h35 | | Towards cognitive automotive environment modelling: reasoning based on vector representations | | | - Florian Mirus, BMW Group - Research, New Technologies, Innovations (Germany)
- Terrence C. Stewart, University of Waterloo - Centre for Theoretical Neuroscience (Canada)
- J�rg Conradt, Technical University of Munich - Department of Electrical and Computer Engineering - Neuroscientific System Theory Group (Germany)
| | | 10h36 | | Inferencing based on unsupervised learning of disentangled representations | | | - Tobias Hinz, Department of Informatics, Universitaet Hamburg (Germany)
- Stefan Wermter, Department of Informatics, Universitaet Hamburg (Germany)
| | | 10h37 | | Dynamic autonomous image segmentation based on Grow Cut | | | - Alexandru-Ion Marinescu, Babeș-Bolyai University - Faculty of Mathematics and Computer Science (Romania)
- Zolt�n B�lint, Babeș-Bolyai University - Faculty of Physics (Romania)
- Laura Dioșan, Babeș-Bolyai University - Faculty of Mathematics and Computer Science (Romania)
- Anca Andreica, Babeș-Bolyai University - Faculty of Mathematics and Computer Science (Romania)
| | | 10h38 | | Continuous convolutional object tracking | | | - Peer Springst�be, Universit�t Hamburg - Dept. Informatics - Knowledge Technology Group (Germany)
- Stefan Heinrich, Universit�t Hamburg - Department of Informatics - Knowledge Technology Group (Germany)
- Stefan Wermter, Department of Informatics, Universitaet Hamburg (Germany)
| | | 10h39 | | Active Learning based on Transfer Learning Techniques for Image Classification | | | - Daniela Onita, Faculty of Science - 1 Decembrie 1918 University of Alba Iulia (Romania)
- Adriana Birlutiu, Faculty of Science - 1 Decembrie 1918 University of Alba Iulia (Romania)
| | | 10h40 | | Near-optimal facial emotion classification using a WiSARD-based weightless system | | | - Leopoldo Lusquino Filho, PESC/ COPPE/ Universidade Federal do Rio de Janeiro (Brazil)
- Felipe Fran�a, PESC/ COPPE/ Universidade Federal do Rio de Janeiro (Brazil)
- Priscila Lima, PPGI/NCE/Universidade Federal do Rio de Janeiro (Brazil)
| | | 10h41 | | Spatial pooling as feature selection method for object recognition | | | - Murat Kirtay, The BioRobotics Institute (Italy)
- Lorenzo Vannucci, The BioRobotics Institute (Italy)
- Ugo Albanese, The BioRobotics Institute (Italy)
- Alessandro Ambrosano, The BioRobotics Institute (Italy)
- Egidio Falotico, The BioRobotics Institute (Italy)
- Cecilia Laschi, The BioRobotics Institute (Italy)
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| | 11h05 | | Interaction and User Integration in Machine Learning for Information Visualisation
Organized by Bruno Dumas, Benoit Fr�nay (Universit� de Namur), John Lee (Universit� catholique de Louvain, Belgium) | | | 11h05 | | Information visualisation and machine learning: latest trends towards convergence | | | - Benoit Frenay, Universit� de Namur (Belgium)
- Bruno Dumas, Universit� de Namur (Belgium)
- John A. Lee, IREC/MIRO - Universit� catholique de Louvain (Belgique)
| | | 11h25 | | VisCoDeR: A tool for visually comparing dimensionality reduction algorithms | | | - Rene Cutura, University of Vienna - Department of Computer Science - Visualization and Data Analysis Group (Austria)
- Stefan Holzer, University of Vienna - Department of Computer Science - Visualization and Data Analysis Group (Austria)
- Micha�l Aupetit, Qatar Computing Research Institute - Computational Science and Engineering (Qatar)
- Michael Sedlmair, Jacobs University Bremen - Computer Science (Germany)
| | | 11h45 | | G-Rap: interactive text synthesis using recurrent neural network suggestions | | | - Udo Schlegel, University Konstanz (Germany)
- Eren Cakmak, University of Konstanz (Germany)
- Juri Buchm�ller, University of Konstanz (Germany)
- Daniel Keim, University of Konstanz (Germany)
| | | 12h05 | | Interactive dimensionality reduction of large datasets using interpolation | | | - Ignacio Diaz-Blanco, UNIVERSITY OF OVIEDO (SPAIN)
- Daniel Perez, UNIVERSITY OF OVIEDO (SPAIN)
- Abel A. Cuadrado, UNIVERSITY OF OVIEDO (SPAIN)
- Diego Garcia-Perez, UNIVERSITY OF OVIEDO (SPAIN)
- Dominguez Manuel, UNIVERSITY OF LEON (SPAIN)
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| | 12h25 | | Nonlinear dimensionality reduction | | | 12h25 | | Perplexity-free t-SNE and twice Student tt-SNE | | | - Cyril de Bodt, ICTEAM - Universit� catholique de Louvain (Belgique)
- Dounia Mulders, ICTEAM - Universit� catholique de Louvain (Belgique)
- Michel Verleysen, ICTEAM - Universit� catholique de Louvain (Belgique)
- John A. Lee, IREC/MIRO - Universit� catholique de Louvain (Belgique)
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| | 12h45 | | Nonlinear dimensionality reduction
Poster spotlights | | | 12h45 | | Generative Kernel PCA | | | - Joachim Schreurs, KU Leuven - Department of Electrical Engineering ESAT-STADIUS (Belgium)
- Johan Suykens, KU Leuven - Department of Electrical Engineering ESAT-STADIUS (Belgium)
| | | 12h46 | | Extensive assessment of Barnes-Hut t-SNE | | | - Cyril de Bodt, ICTEAM - Universit� catholique de Louvain (Belgique)
- Dounia Mulders, ICTEAM - Universit� catholique de Louvain (Belgique)
- Michel Verleysen, ICTEAM - Universit� catholique de Louvain (Belgique)
- John A. Lee, IREC/MIRO - Universit� catholique de Louvain (Belgique)
| | | 12h47 | | Understanding wafer patterns in semiconductor production with variational auto-encoders | | | - Tiago Santos, KNOW-CENTER - Research Center for Data-Driven Business & Big Data Analytics (Austria)
- Roman Kern, KNOW-CENTER - Research Center for Data-Driven Business & Big Data Analytics (Austria)
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| | 14h15 | | Classification | | | 14h15 | | Feature noise tuning for resource efficient Bayesian Network Classifiers | | | - Laura Isabel Galindez Olascoaga, MICAS, Department of Electrical Engineering. KU Leuven, Belgium (Belgium)
- Jonas Vlasselaer, MICAS, Department of Electrical Engineering. KU Leuven, Belgium (Belgium)
- Wannes Meert, DTAI, Department of Computer Science. KU Leuven, Belgium (Belgium)
- Marian Verhelst, MICAS, Department of Electrical Engineering. KU Leuven, Belgium (B)
| | | 14h35 | | Reliable Patient Classification in Case of Uncertain Class Labels Using a Cross-Entropy Approach | | | - Andrea Villmann, Berufliches Schulzentrum D�beln-Mittweida - Schulteil Mittweida (Deutschland)
- Marika Kaden, University of Applied Sciences Mittweida (Germany)
- Sascha Saralajew, Dr. h.c. F. Porsche AG - Electrical/Electronics Driver Assistance Platform/Systems (Germany)
- Wieland Hermann, Spitalregion Oberaargau - Spital Langenthal / Neurologie (Switzerland)
- Thomas Villmann, University of Applied Sciences Mittweida - Saxony Institute for Computational Intelligence and Machine Learning (Deutschland)
| | | 14h55 | | behaviour-based working memory capacity classification using recurrent neural networks | | | - Mazen Salous, Cognitive Systems lab - University of Bremen (Germany)
- Felix Putze, Cognitive Systems lab - University of Bremen (Germany)
| | | 15h15 | | Structuring and Solving Multi-Criteria Decision Making Problems using Artificial Neural Networks: a smartphone recommendation case | | | - Victor Amaral De Sousa, KU Leuven (Belgique)
- Anthony Simonofski, KU Leuven (Belgium)
- Monique Snoeck, KU Leuven (Belgium)
- Ivan Jureta, Universit� de Namur (Belgium)
| | | 15h35 | | Efficient accuracy estimation for instance-based incremental active learning | | | - Christian Limberg, Bielefeld University - CoR-Lab (Germany)
- Heiko Wersing, HONDA Research Institute Europe GmbH (Germany)
- Helge Ritter, Bielefeld University - CoR-Lab (Germany)
| | | 15h55 | | Boolean kernels for interpretable kernel machines | | | - Mirko Polato, University of Padova - Department of Mathematics (Italy)
- Fabio Aiolli, University of Padova - Department of Mathematics (Italy)
| | | 16h15 | | The minimum effort maximum output principle applied to Multiple Kernel Learning | | | - Ivano Lauriola, University of Padova, Department of Mathematics (Italy)
- Mirko Polato, University of Padova - Department of Mathematics (Italy)
- Fabio Aiolli, University of Padova - Department of Mathematics (Italy)
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| | 16h35 | | Classification
Poster spotlights | | | 16h35 | | One-class Autoencoder approach to classify Raman spectra outliers | | | - Katharina Hofer-Schmitz, Life Science Informatics - Fraunhofer Institute for Applied Information Technology FIT (Germany)
- Phuong-Ha Nguyen, Life Science Informatics - Fraunhofer Institute for Applied Information Technology FIT (Germany)
- Kristian Berwanger , Life Science Informatics - Fraunhofer Institute for Applied Information Technology FIT (Germany)
| | | 16h36 | | Radar Based Pedestrian Detection using Support Vector Machine and the Micro Doppler Effect | | | - Joao Victor Bruneti Severino, Pontifical Catholic University of Parana - PUCPR - Federal University of Parana (UFPR) - Technishce Hochschule Ingolstadt (Brazil)
- Alessandro Zimmer, Federal University of Parana (UFPR) (Brazil)
- Leandro dos Santos Coelho, Pontifical Catholic University of Parana (PUCPR) - Industrial and Systems Engineering Graduate Program - PPGEPS (Brazil)
- Roberto Zanetti Freire, Pontifical Catholic University of Parana - PUCPR (Brazil)
| | | 16h37 | | Opposite neighborhood: a new method to select reference points of minimal learning machines | | | - Madson Dias, Federal Institute of Cear�, Department of Teleinformatics (Brazil)
- Lucas Sousa, Federal Institute of Cear�, Department of Teleinformatics (Brazil)
- Ajalmar Rocha Neto, Federal Institute of Cear�, Department of Teleinformatics (Brazil)
- Amauri Souza J�nior, Federal Institute of Cear�, Department of Teleinformatics (Brazil)
| | | 16h38 | | A neural network cost function for highly class-imbalanced data sets | | | - David Twomey, Department of Computer Science - University College London (UK)
- Denise Gorse, Department of Computer Science - University College London (UK)
| | | 16h39 | | Self-learning assembly systems during ramp-up | | | - Ralf Sch�nherr, Otto-von-Guericke University - Dept. of Mechanical Engineering - BMW Group (Germany)
- Maximilian Knaller, Technical University of Munich - Dept. of Electrical and Computer Engineering (Germany)
- Markus Philipp, RWTH Aachen University �- Dept. of Mechanical Engineering (Germany)
| | | 16h40 | | Feasibility based Large Margin Nearest Neighbor metric learning | | | - Babak Hosseini, CITEC centre of excellence, - Bielefeld University (Germany)
- Barbara Hammer, Cluster of Excellence Cognitive Interaction Technology (CITEC) - Universit�t Bielefeld (Germany)
| | | 16h41 | | Combining latent tree modeling with a random forest-based approach, for genetic association studies | | | - Christine Sinoquet, University of Nantes - LS2N - UMR CNRS 6004 - Computer Science Institute of Nantes (France)
- Kamel MEKHNACHA, Probayes (France)
| | | 16h42 | | Graph based neural networks for automatic classification of multiple sclerosis clinical courses | | | - Francesco Calimeri, Department of Mathematics and Computer Science - University of Calabria (Italia)
- Aldo Marzullo, Department of Mathematics and Computer Science - University of Calabria (Italia)
- Claudio Stamile, CREATIS - Universit� Lyon 1 (Italy)
- Giorgio Terracina, Department of Mathematics and Computer Science - University of Calabria (Italy)
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| | 16h43 | | Coffee break and poster exhibition |
Thursday 26 April 2018
| | 09h00 | | Regression and recommendation systems | | | 09h00 | | Extreme Minimal Learning Machine | | | - Tommi K�rkk�inen, University of Jyv�skyl� - Faculty of Information Technology (Finland)
| | | 09h20 | | Learning with a Fisher surrogate loss in a small data regime | | | - Moussab Djerrab, Telecom Paris tech (France)
- Alexandre Garcia, Telecom Paris tech (France)
- Florence D'Alch�-Buc, Telecom Paris tech - LTCI - University of Paris Saclay (France)
| | | 09h40 | | Fast Power system security analysis with Guided Dropout | | | - Benjamin Donnot, R�seau de Transport d'Electricit� - RTE - INRIA (France)
- Isabelle Guyon, UPSud Paris-Saclay, LRI (France)
- Antoine MAROT, R�seau de Transport d'Electricit� - RTE (France)
- Marc Schoenauer, Laboratoire de Recherche en Informatique - LRI - INRIA (France)
- Patrick Panciatici, R�seau de Transport d'Electricit� - RTE (France)
| | | 10h00 | | Neural Networks for Implicit Feedback Datasets | | | - Josef Feigl, University of Leipzig - Department of Computer Engineering (Germany)
- Martin Bogdan, University of Leipzig (Germany)
| | | 10h20 | | Regularize and explicit collaborative filtering with textual attention | | | - Charles-Emmanuel Dias, LIP6 - UPMC - Sorbonne Universit�s (France)
- Vincent Guigue, LIP6 - UPMC - Sorbonne Universit�s (France)
- Patrick Gallinari, LIP6 - UPMC - Sorbonne Universit�s (France)
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| | 10h40 | | Regression and recommendation systems
Poster spotlights | | | 10h40 | | Adaptive random forests for data stream regression | | | - Heitor Murilo Gomes, T�l�com Paristech - Universit� Paris-Saclay (France)
- Jean Paul Barddal, PPGIa - Pontif�cia Universidade Cat�lica do Paran� (Brasil)
- Luis Eduardo Boiko, PPGIa - Pontif�cia Universidade Cat�lica do Paran� (Brasil)
- Albert Bifet, T�l�com Paristech - Universit� Paris-Saclay (France)
| | | 10h41 | | Cache-efficient Gradient Descent Algorithm | | | - imen chakroun, Exascience Life Lab - IMEC (Belgium)
- Tom Vander Aa, Exascience Life Lab - IMEC (Belgium)
- thomas ashby, Exascience Life Lab - IMEC (Belgium)
| | | 10h42 | | Sensitivity analysis for predictive uncertainty | | | - Stefan Depeweg, Technische Universit�t M�nchen (Germany)
- Jos� Miguel Hern�ndez-Lobato, University of Cambridge (United Kingdom)
- Steffen Udluft, Siemens AG (Germany)
- Thomas Runkler, Siemens AG (Germany)
| | | 10h43 | | Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path | | | - Alejandro Catalina, Universidad Aut�noma de Madrid - Dept. Computer Science - Machine Learning Group (Spain)
- Carlos M. Ala�z, Universidad Aut�noma de Madrid - Dept. Computer Science - Machine Learning Group (Spain)
- Jos� R. Dorronsoro, Universidad Aut�noma de Madrid - Dept. Computer Science - Machine Learning Group (Spain)
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| | 11h05 | | Shallow and Deep models for transfer learning and domain adaptation
Organized by Siamak Mehrkanoon, Matthew Blaschko, Johan Suykens (KU Leuven, Belgium) | | | 11h05 | | Shallow and Deep Models for Domain Adaptation problems | | | - Siamak Mehrkanoon, KU Leuven (Belgium)
- Matthew Blaschko , KU Leuven (Belgium)
- Johan Suykens, KU Leuven - Department of Electrical Engineering ESAT-STADIUS (Belgium)
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| | 11h25 | | Shallow and Deep models for transfer learning and domain adaptation
Poster spotlights | | | 11h25 | | Unsupervised domain adaptation of deep object detectors | | | - Debjeet Majumdar, Indian Institute of technology Kanpur (India)
- Vinay Namboodiri, Indian Institute of technology Kanpur (India)
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| | 11h26 | | Machine Learning and Data Analysis in Astroinformatics
Organized by Michael Biehl, Kerstin Bunte (University of Groningen, The Netherlands), Giuseppe Longo (University of Naples, Italy), Peter Tino (University of Birmingham, United Kingdom) | | | 11h26 | | Machine learning and data analysis in astroinformatics | | | - Michael Biehl, University of Groningen - Johann Bernoulli Institute for Mathematics and Computer Science (The Netherlands)
- Kerstin Bunte, University of Groningen (Netherlands)
- Giuseppe Longo, Universit� degli Studi di Napoli Federico II - Dipartimento di Fisica "Ettore Pancini" (Italy)
- Peter Tino, The University of Birmingham (UK)
| | | 11h46 | | Anomaly detection in star light curves using hierarchical Gaussian processes | | | - Haoyan Chen, University of Bristol - University of Bristol (United Kingdom)
- Tom Diethe, Amazon (United Kingdom)
- Niall Twomey, University of Bristol (United Kingdom)
- Peter Flach, Department of Computer Science - University of Bristol (UK)
| | | 12h06 | | Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders | | | - Pablo Huijse, Universidad de Chile (Chile)
- Nicolas Astorga, Universidad de Chile (Chile)
- Pablo Estevez, Universidad de Chile (Chile)
- Giuliano Pignata, Universidad Andr�s Bello - Dept. of Astrophysics (Chile)
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| | 12h26 | | Machine Learning and Data Analysis in Astroinformatics
Poster spotlights | | | 12h26 | | Globular Cluster Detection in the Gaia Survey | | | - Mohammad Mohammadi, University of Groningen (Netherlands)
- Reynier Peletier, University of Groningen (Netherlands)
- Frank-Michael Schleif, University of Applied Sciences Wuerzburg-Schweinfurt - Computer Science (Germany)
- Nicolai Petkov, University of Groningen (Netherlands)
- Kerstin Bunte, University of Groningen (Netherlands)
| | | 12h27 | | stellar formation rates in galaxies using machine learning models | | | - Michele Delli Veneri, Universit� degli Studi di Napoli Federico II - Dipartimento di Fisica (Italy)
- Stefano Cavuoti, Universit� degli Studi di Napoli Federico II - Dipartimento di Fisica (Italy)
- Massimo Brescia, INAF - Osservatorio Astronomico di Capodimonte (Italy)
- Giuseppe Riccio, INAF - Osservatorio Astronomico di Capodimonte (Italy)
- Giuseppe Longo, Universit� degli Studi di Napoli Federico II - Dipartimento di Fisica "Ettore Pancini" (Italy)
| | | 12h28 | | Prototype-based analysis of GAMA galaxy catalogue data | | | - Aleke Nolte , University of Groningen - Johann Bernoulli Institute for Mathematics and Computer Science (The Netherlands)
- Lingyu Wang, SRON Netherlands Institute for Space Research - and Kapteyn Astronomical Institute - University of Groningen (The Netherlands)
- Michael Biehl, University of Groningen - Johann Bernoulli Institute for Mathematics and Computer Science (The Netherlands)
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| | 14h00 | | Deep Learning in Bioinformatics and Medicine
Organized by M. Atencia (U. M�laga, Spain), D. Bacciu (U. Pisa, Italy), P. J. G. Lisboa (Liverpool John Moores U., UK), J. D. Martin, (U. Val�ncia, Spain), R. Stoean (Uni. Craiova, Romania), A. Vellido | | | 14h00 | | Bioinformatics and medicine in the era of deep learning | | | - Davide Bacciu, Dipartimento di Informatica - Universit� di Pisa (Italy)
- Paulo Lisboa, Liverpool John Moores University (UK)
- Jose D. Martin, Universitat de Val�ncia (Spain)
- Ruxandra Stoean, University of Craiova (Romania)
- Alfredo Vellido, Universidad Polit�cnica de Catalu�a (Spain)
| | | 14h20 | | Controlling biological neural networks with deep reinforcement learning | | | - Jan W�lfing, Albert-Ludwigs-Universit�t Freiburg - Department of Computer Science - Neurorobotics Lab (Germany)
- Sreedhar Saseendran Kumar, Albert-Ludwigs-Universit�t Freiburg - Dept. for Microsystems Engineering, and - Bernstein Center Freiburg (Germany)
- Joschka Boedecker, University of Freiburg - Department of Computer Science - Neurorobotics Lab (Germany)
- Martin Riedmiller, DeepMind (United Kingdom)
- Ulrich Egert, University of Freiburg - Bernstein Center Freiburg & Dept. of Microsystems Engineering - Laboratory for Biomicrotechnology (Germany)
| | | 14h40 | | Learning compressed representations of blood samples time series with missing data | | | - Filippo Maria Bianchi, UiT the Arctic University of Norway (Norway)
- Karl �yvind Mikalsen, UiT the Arctic University of Norway (Norway)
- Robert Jenssen, UiT the Arctic University of Norway (Norway)
| | | 15h00 | | Sleep staging with deep learning: a convolutional model | | | - Isaac Fern�ndez-Varela, Universidade da Coru�a (Spain)
- Dimitrios Athanasakis, Data Spartan (United Kingdom)
- Samuel Parsons, University College of London (United Kingdom)
- Elena Hern�ndez-Pereira, Universidade da Coru�a (Spain)
- Vicente Moret-Bonillo, Universidade da Coru�a (Spain)
| | | 15h20 | | Interpreting deep learning models for ordinal problems | | | - Jos� P. Amorim , Faculty of Sciences and Technology of Coimbra University - Department of Informatics Engineering (Portugal)
- In�s Domingues, Faculty of Sciences and Technology of Coimbra University - Department of Informatics Engineering (Portugal)
- Pedro Henriques Abreu, Faculty of Sciences and Technology of Coimbra University - Department of Informatics Engineering (Portugal)
- Jo�o Santos, IPO-Porto Research Centre (CI-IPOP) (Portugal)
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| | 15h40 | | Deep Learning in Bioinformatics and Medicine
Poster spotlights | | | 15h40 | | Non-negative Matrix Factorization for Medical Imaging | | | - Miguel Atencia, Universidad de M�laga (Spain)
- Ruxandra Stoean, University of Craiova (Romania)
| | | 15h41 | | Multi-omics data integration using cross-modal neural networks | | | - Ioana Bica, Department of Computer Science and Technology, University of Cambridge (United Kingdom)
- Petar Velickovic, Department of Computer Science and Technology, University of Cambridge (United Kingdom)
- Hui Xiao, Department of Computer Science and Technology, University of Cambridge (United Kingdom)
- Pietro Lio', Department of Computer Science and Technology, University of Cambridge (United Kingdom)
| | | 15h42 | | DEEP: decomposition feature enhancement procedure for graphs | | | - Van Dinh Tran, Department of Mathematics, Padova University (Italy)
- Nicol� Navarin, Department of Mathematics, Padova University (Italy)
- Alessandro Sperduti, Department of Mathematics, Padova University (Italy)
| | | 15h43 | | Deep Echo State Networks for Diagnosis of Parkinson's Disease | | | - Claudio Gallicchio, Department of Computer Science - University of Pisa (Italy)
- Alessio Micheli, Department of Computer Science, University of Pisa (Italy)
- Luca Pedrelli, Department of Computer Science, University of Pisa (Italy)
| | | 15h44 | | Capturing variabilities from Computed Tomography images with Generative Adversarial Networks (GANs) | | | - UMAIR JAVAID, Université catholique de Louvain - ICTEAM (Belgium)
- John A. Lee, IREC/MIRO - Universit� catholique de Louvain (Belgique)
| | | 15h45 | | Pollen grain recognition using convolutional neural network | | | - Natalia Khanzhina, ITMO University (Russia)
- Evgeny Putin, ITMO University (Russia)
- Andrey Filchenkov, ITMO University (Russia)
- Elena Zamyatina, National Research University Higher School of Economics - National Research Perm State University (Russia)
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| | 15h46 | | Randomized Neural Networks
Organized by Claudio Gallicchio, Alessio Micheli (University of Pisa, Italy), Peter Tino (University of Birmingham, United Kingdom) | | | 15h46 | | Randomized Recurrent Neural Networks | | | - Claudio Gallicchio, Department of Computer Science - University of Pisa (Italy)
- Alessio Micheli, Department of Computer Science, University of Pisa (Italy)
- Peter Tino, The University of Birmingham (UK)
| | | 16h06 | | Bidirectional deep-readout echo state networks | | | - Filippo Maria Bianchi, UiT the Arctic University of Norway (Norway)
- Simone Scardapane, Sapienza University of Rome (Italy)
- Sigurd L�kse, UiT the Arctic University of Norway (Norway)
- Robert Jenssen, UiT the Arctic University of Norway (Norway)
| | | 16h26 | | Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir | | | - Ali Rodan, The University of Jordan (Jordan)
- Pedro A. Castillo, University of Granada (Spain)
- Hossam Faris, The University of Jordan (Jordan)
- Ala' M. Al-Zoubi, The University of Jordan (Jordan)
- A.M. Mora, International University of La Rioja (UNIR) (Spain)
- Huthaifa Jawazneh, University of Granada (Spain)
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| | 16h46 | | Randomized Neural Networks
Poster spotlights | | | 16h46 | | Estimation of the Human Concentration using Echo State Networks | | | - Hikmat Dashdamirov, Department of Computer Science - Faculty of Electrical Engineering and Computer Science - VSB-Technical University of Ostrava (Czech Republic)
- Sebasti�n Basterrech, Department of Computer Science - Faculty of Electrical Engineering - Czech Technical University (Czech Republic)
| | | 16h47 | | Quantifying the Reservoir Quality using Dimensionality Reduction Techniques | | | - Tomas Burianek, Department of Computer Science - Faculty of Electrical Engineering and Computer Science - VSB-Technical University of Ostrava (Czech Republic)
- Sebasti�n Basterrech, Department of Computer Science - Faculty of Electrical Engineering - Czech Technical University (Czech Republic)
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| | 16h48 | | Clustering and feature selection
Poster spotlights | | | 16h48 | | Scalable robust clustering method for large and sparse data | | | - Joonas H�m�l�inen, University of Jyv�skyl�, Faculty of Information Technology (Finland)
- Tommi K�rkk�inen, University of Jyv�skyl� - Faculty of Information Technology (Finland)
- Tuomo Rossi, University of Jyv�skyl�, Faculty of Information Technology (Finland)
| | | 16h49 | | clustering with decision trees: divisive and agglomerative approach | | | - Lauriane Castin, Universit� de Namur - Faculty of Computer Science (Belgium)
- Benoit Frenay, Universit� de Namur (Belgium)
| | | 16h50 | | Comparison of cluster validation indices with missing data | | | - Marko Niemel�, University of Jyv�skyl� (Finland)
- Sami �yr�m�, University of Jyv�skyl� (Finland)
- Tommi K�rkk�inen, University of Jyv�skyl� - Faculty of Information Technology (Finland)
| | | 16h51 | | Efficient approximate representations for computationally expensive features | | | - Raul Santos-Rodriguez, University of Bristol (United Kingdom)
- Niall Twomey, University of Bristol (United Kingdom)
| | | 16h52 | | Regularised maximum-likelihood inference of mixture of experts for regression and clustering | | | - Bao Tuyen Huynh, Normandie Univ, UNICAEN, CNRS, LMNO (France)
- Faicel Chamroukhi, Universit� de Caen Normandie - LMNO (France)
| | | 16h53 | | Feature selection for label ranking | | | - Noelia S�nchez-Maro�o, Research Center on Information and Communication Technologies (CITIC) (Spain)
- Beatriz P�rez-S�nchez, CITIC-Research Center on Information and Communication Technologies - University of A Coru�a (Spain)
| | | 16h54 | | A novel filter algorithm for unsupervised feature selection based on a space filling measure | | | - Mohamed Laib, IDYST, FGSE - University of Lausanne (Switzerland)
- Mikhail Kanevski, IDYST, FGSE - University of Lausanne (Switzerland)
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| | 16h55 | | Coffee break and poster exhibition |
Friday 27 April 2018
| | 09h00 | | Mathematical aspects of learning, and reinforcement learning | | | 09h00 | | Asymptotic statistics for multilayer perceptron with ReLu hidden units | | | - Joseph Rynkiewicz, SAMM, Universit� de Paris 1 (France)
| | | 09h20 | | Local Rademacher Complexity Machine | | | - Luca Oneto, DIBRIS - University of Genoa (Italy)
- Sandro Ridella, DIBRIS - University of Genoa (Italy)
- Davide Anguita, DIBRIS - University of Genoa (Italy)
| | | 09h40 | | A sharper bound on the Rademacher complexity of margin multi-category classifiers | | | - Khadija Musayeva, University of Lorraine - LORIA (France)
- Fabien Lauer, University of Lorraine (France)
- Yann Guermeur, CNRS (France)
| | | 10h00 | | Slowness-based neural visuomotor control with an Intrinsically motivated Continuous Actor-Critic | | | - Muhammad Burhan Hafez, Universit�t Hamburg (Germany)
- Matthias Kerzel, Universit�t Hamburg (Germany)
- Cornelius Weber, University of Hamburg (Germany)
- Stefan Wermter, Department of Informatics, Universitaet Hamburg (Germany)
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| | 10h20 | | Mathematical aspects of learning, and reinforcement learning
Poster spotlights | | | 10h20 | | A variable projection method for block term decomposition of higher-order tensors | | | - Guillaume Olikier, Universit� catholique de Louvain (Belgium)
- Pierre-Antoine Absil, Universit� catholique de Louvain (Belgium)
- Lieven De Lathauwer, KU Leuven (Belgium)
| | | 10h21 | | Reinforcement Learning for High-Frequency Market Making | | | - Ye-Sheen Lim, University College London (UK)
- Denise Gorse, Department of Computer Science - University College London (UK)
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| | 10h45 | | Emerging trends in machine learning: beyond conventional methods and data
Organized by Luca Oneto (University of Genoa), Nicol� Navarin (Univ. of Padua), Michele Donini (Istituto Italiano di Tecnologia), Davide Anguita (Univ. of Genoa, Italy) | | | 10h45 | | Emerging trends in machine learning: beyond conventional methods and data | | | - Luca Oneto, DIBRIS - University of Genoa (Italy)
- Nicol� Navarin, Department of Mathematics, Padova University (Italy)
- Michele Donini, Istituto Italiano di Tecnologia - Computational Statistics and Machine Learning (Italy)
- Davide Anguita, DIBRIS - University of Genoa (Italy)
| | | 11h05 | | Finding the most interpretable MDS rotation for sparse linear models based on external features | | | - Adrien Bibal, University of Namur - Faculty of Computer Science - NADI Institute - PReCISE Research Center (Belgium)
- Rebecca Marion, Universit� catholique de Louvain - ISBA (Belgium)
- Benoit Frenay, Universit� de Namur (Belgium)
| | | 11h25 | | Mixture of Hidden Markov Model as Tree Encoder | | | - Davide Bacciu, Dipartimento di Informatica - Universit� di Pisa (Italy)
- Daniele Castellana, Dipartimento di Informatica - Universit� di Pisa (Italy)
| | | 11h45 | | Set point thresholds from topological data analysis and an outlier detector | | | - Alessio Carrega, aizoOn - Technology Consulting (Italy)
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| | 12h05 | | Emerging trends in machine learning: beyond conventional methods and data
Poster spotlights | | | 12h05 | | Differential private relevance learning | | | - Johannes Brinkrolf, Cluster of Excellence Cognitive Interaction Technology (CITEC) - Universit�t Bielefeld (Germany)
- Kolja Berger, Cluster of Excellence Cognitive Interaction Technology (CITEC) - Universit�t Bielefeld (Germany)
- Barbara Hammer, Cluster of Excellence Cognitive Interaction Technology (CITEC) - Universit�t Bielefeld (Germany)
| | | 12h06 | | On aggregation in ranking median regression | | | - Stephan Cl�men�on, T�l�com Paris Tech (France)
- Anna Korba, Telecom ParisTech - Telecom ParisTech (France)
| | | 12h07 | | Temporal transfer learning for drift adaptation | | | - Daegun Won, Language Technologies Institute - Carnegie Mellon University (USA)
- Peter Jansen, Language Technologies Institute - Carnegie Mellon University (USA)
- Jaime Carbonell, Language Technologies Institute - Carnegie Mellon University (USA)
| | | 12h08 | | LANN-DSVD: A privacy-preserving distributed algorithm for machine learning | | | - Oscar Fontenla-Romero, CITIC-Research Center on Information and Communication Technologies - University of A Coru�a (Spain)
- Bertha Guijarro-Berdi�as, CITIC-Research Center on Information and Communication Technologies - University of A Coru�a (Spain)
- Beatriz P�rez-S�nchez, CITIC-Research Center on Information and Communication Technologies - University of A Coru�a (Spain)
- Marcelo G�mez-Casal - University of A Coru�a (Spain)
| | | 12h09 | | Vector Field Based Neural Networks | | | - Daniel Vieira, Universidade Federal do Rio de Janeiro (Brazil)
- Fabio Rangel, Universidade Federal do Rio de Janeiro (Brazil)
- Fabr�cio Firmino, Universidade Federal do Rio de Janeiro (Brazil)
- Joao Paixao, Universidade Federal do Rio de Janeiro (Brazil)
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| | 13h40 | | Temporal data, sequences and incremental learning | | | 13h40 | | Non-Negative Tensor Dictionary Learning | | | - Abraham Traor�, University of Rouen (France)
- Maxime Berar, University of Rouen (France)
- Alain Rakotomamonjy, University of Rouen (France)
| | | 14h00 | | An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series | | | - Marcos Antonio Alves, Universidade Federal de Minas Gerais - Graduate Program in Electrical Engineering (Brazil)
- Petr�nio C�ndido de Lima e Silva, Instituto Federal do Norte de Minas Gerais (Brazil)
- Carlos Alberto Severiano Junior, Instituto Federal de Minas Gerais (IFMG) (Brazil)
- Gustavo Linhares Vieira, Universidade Federal de Minas Gerais - Graduate Program in Electrical Engineering (Brazil)
- Frederico Gadelha Guimar�es, Universidade Federal de Minas Gerais - Department of Electrical Engineering (Brazil)
- Hossein Javedani Sadaei, Universidade Federal de Minas Gerais (Brazil)
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| | 14h20 | | Temporal data, sequences and incremental learning
Poster spotlights | | | 14h20 | | Surprisal-based activation in recurrent neural networks | | | - Tayfun Alpay, University of Hamburg (Germany)
- Fares Abawi, University of Hamburg (Germany)
- Stefan Wermter, Department of Informatics, Universitaet Hamburg (Germany)
| | | 14h21 | | K-spectral centroid: extension and optimizations | | | - Brieuc Conan-Guez, LORIA Metz - University of Lorraine (France)
- Alain G�ly, LORIA Metz - University of Lorraine (France)
- Lydia Boudjeloud-Assala, LORIA Metz - University of Lorraine (France)
- Alexandre Blansch�, LORIA Metz - University of Lorraine (France)
| | | 14h22 | | Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm | | | - Aviv Nahon, Ben-Gurion University of the Negev (Israel)
- Boaz Lerner, Ben-Gurion University of the Negev (Israel)
| | | 14h23 | | Person Identification and Discovery With Wrist Worn Accelerometer Data | | | - Ryan McConville, University of Bristol (UK)
- Raul Santos-Rodriguez, University of Bristol (United Kingdom)
- Niall Twomey, University of Bristol (United Kingdom)
| | | 14h24 | | CDTW-based classification for Parkinson's Disease diagnosis | | | - Nicolas KHOURY , Paris-Est Creteil University - Laboratory of Image Signal and Intelligent Systems (France)
- Ferhat ATTAL, Paris-Est Creteil University - Laboratory of Image Signal and Intelligent Systems (France)
- Yacine AMIRAT, Paris-Est Creteil University - Laboratory of Image Signal and Intelligent Systems (France)
- Abdelghani CHIBANI - Laboratory of Image Signal and Intelligent Systems (UPEC) (France)
- Samer MOHAMMED, Paris-Est Creteil University - Laboratory of Image Signal and Intelligent Systems (France)
| | | 14h25 | | Personalizing human activity recognition models using incremental learning | | | - Pekka Siirtola, Biomimetics and Intelligent Systems Group - University of Oulu (Finland)
- Heli Koskim�ki, Biomimetics and Intelligent Systems Group - University of Oulu (Finland)
- Juha R�ning, Biomimetics and Intelligent Systems Group - University of Oulu (Finland)
| | | 14h26 | | Short-term Memory of Deep RNN | | | - Claudio Gallicchio, Department of Computer Science - University of Pisa (Italy)
| | | 14h27 | | Effect of context in swipe gesture-based continuous authentication on smartphones | | | - Pekka Siirtola, Biomimetics and Intelligent Systems Group - University of Oulu (Finland)
- Jukka Komulainen, Center for Machine Vision and Signal Analysis - University of Oulu - Finland (Finland)
- Vili Kellokumpu, Bittium Wireless Oy (Finland)
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| | 14h28 | | Impact of Biases in Big Data
Organized by Patrick Glauner (University of Luxembourg), Petko Valtchev (University of Quebec at Montreal, Canada), Radu State (University of Luxembourg) | | | 14h28 | | Impact of Biases in Big Data | | | - Patrick Glauner, Interdisciplinary Centre for Security, Reliability and Trust - University of Luxembourg (Luxembourg)
- Petko Valtchev, Department of Computer Science - University of Quebec in Montreal (Canada)
- Radu State, Interdisciplinary Centre for Security, Reliability and Trust - University of Luxembourg (Luxembourg)
| | | 14h48 | | Analysis of imputation bias for feature selection with missing data | | | - Borja Seijo-Pardo, University of A Coru�a, Spain (Spain)
- Amparo Alonso-Betanzos, Universidade da Coru�a (Spain)
- Kristin Bennett, Rensselaer Polytechnic Institute (USA)
- Veronica Bolon-Canedo, Universidade da Coru�a (Spain)
- Isabelle Guyon, UPSud Paris-Saclay, LRI (France)
- Julie Josse, �cole polytechnique (France)
- Mehreen Saeed, FAST, National University of Computer & Emerging Sciences (Pakistan)
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| | 15h08 | | Impact of Biases in Big Data
Poster spotlights | | | 15h08 | | Systematics aware learning : a case study in high energy physics | | | - Victor Estrade, Laboatoire de Recherche en Informatique - Universit� Paris Sud (France)
- C�cile Germain, Laboatoire de Recherche en Informatique - Universit� Paris Sud (France)
- Isabelle Guyon, UPSud Paris-Saclay, LRI (France)
- David Rousseau, IN2P3 (Institut national de physique nucl�aire et de physique des particules) (France)
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| | 15h09 | | Optimization and metaheuristics
Poster spotlights | | | 15h09 | | Evolutionary RL for Container Loading | | | - Sarmimala Saikia, TCS Research (India)
- Richa Verma, TCS Research (India)
- Puneet Agarwal, TCS Research (India)
- Gautam Shroff, TCS Research (India)
- Lovekesh Vig, TCS Research (India)
- Ashwin Srinivasan, Department of Computer Science, - BITS-Pilani Goa (India)
| | | 15h10 | | Enhancement of a stochastic Markov-blanket framework with ant colony optimization, to uncover epistasis in genetic association studies | | | - Christine Sinoquet, University of Nantes - LS2N - UMR CNRS 6004 - Computer Science Institute of Nantes (France)
- Cl�ment Niel, University of Nantes / LS2N - UMR CNRS 6004 (France)
| | | 15h11 | | Meerkats-inspired Algorithm for Global Optimization Problems | | | - Carlos Eduardo Klein, Federal University of Parana (UFPR) - Department of Electrical Engineering (Brazil)
- Leandro dos Santos Coelho, Pontifical Catholic University of Parana (PUCPR) - Industrial and Systems Engineering Graduate Program (Brazil)
| | | 15h12 | | Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence Paradigm | | | - Carlos Eduardo Klein, Federal University of Parana (UFPR) - Department of Electrical Engineering (Brazil)
- Viviana Cocco Mariani, Pontifical Catholic University of Parana (PUCPR) - Mechanical Engineering Graduate Program (PPGEM) (Brazil)
- Leandro dos Santos Coelho, Pontifical Catholic University of Parana (PUCPR) - Industrial and Systems Engineering Graduate Program (Brazil)
| | | 15h13 | | Evolutionary Composition of Customized Fault Localization Heuristics | | | - Diogo de-Freitas, Universidade Federal de Goi�s (UFG) - Instituto de Informatica (INF) (Brazil)
- Leitao-Junior Plinio, Universidade Federal de Goi�s (UFG) - Instituto de Informatica (INF) (Brazil)
- Celso Camilo-Junior, Universidade Federal de Goi�s (UFG) - Instituto de Informatica (INF) (Brazil)
- Rachel Harrison, Oxford Brookes - Dept of Computing and Communication Technologies (United Kingdom)
| | | 15h14 | | Order Crossover for the Inventory Routing Problem | | | - Mohamed Salim Amri Sakhri, Institut Sup�rieur de Gestion de Tunis (Tunisie)
- Mounira Tlili, Institut Sup�rieur de Transport et de la Logistique de Sousse (Tunisie)
- Hamid Allaoui, Universit� d'Artois (France)
- Ouajdi Korbaa, Institut Sup�rieur Informatique et Techniques de Communication de Sousse (Tunisie)
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| | 15h16 | | Coffee break and poster exhibition |
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