| 2019 | 27th European Symposium on Artificial Neural Networks, ESANN 2019, Bruges, Belgium, April 24-26, 2019 |
| 2019 | A Simple and Effective Scheme for Data Pre-processing in Extreme Classification. Sujay Khandagale, Rohit Babbar |
| 2019 | A WNN model based on Probabilistic Quantum Memories. Priscila G. M. dos Santos, Rodrigo S. Sousa, Adenilton J. da Silva |
| 2019 | A best-first branch-and-bound search for solving the transductive inference problem using support vector machines. Hygor Xavier Araújo, Raul Fonseca Neto, Saulo Moraes Villela |
| 2019 | A document detection technique using convolutional neural networks for optical character recognition systems. Lorand Dobai, Mihai Teletin |
| 2019 | Active one-shot learning with Prototypical Networks. Rinu Boney, Alexander Ilin |
| 2019 | Adversarial robustness of linear models: regularization and dimensionality. István Megyeri, István Hegedüs, Márk Jelasity |
| 2019 | An evolutionary approach for optimizing weightless neural networks. Maurizio Giordano, Massimo De Gregorio |
| 2019 | Analyzing spatial dissimilarities in high-resolution geo-data : a case study of four European cities. Julien Randon-Furling, William Clark, Madalina Olteanu |
| 2019 | Application of deep neural networks for automatic planning in radiation oncology treatments. Ana M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve B. Jiang |
| 2019 | Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series Prediction. Matteo Maggiolo, Gerasimos Spanakis |
| 2019 | Beta Distribution Drift Detection for Adaptive Classifiers. Lukas Fleckenstein, Sebastian Kauschke, Johannes Fürnkranz |
| 2019 | Beyond Pham's algorithm for joint diagonalization. Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort |
| 2019 | Blind-spot network for image anomaly detection: A new approach to diabetic retinopathy screening. Shaon Sutradhar, José Rouco, Marcos Ortega |
| 2019 | Bridging face and sound modalities through domain adaptation metric learning. Christos Athanasiadis, Enrique Hortal, Stylianos Asteriadis |
| 2019 | Chasing the Echo State Property. Claudio Gallicchio |
| 2019 | Class-aware t-SNE: cat-SNE. Cyril de Bodt, Dounia Mulders, Daniel López Sánchez, Michel Verleysen, John A. Lee |
| 2019 | Committees as Artificial Organisms - Evolution and Adaptation. Roberto Alamino |
| 2019 | Comparison between DeepESNs and gated RNNs on multivariate time-series prediction. Claudio Gallicchio, Alessio Micheli, Luca Pedrelli |
| 2019 | Complex Valued Gated Auto-encoder for Video Frame Prediction. Niloofar Azizi, Nils Wandel, Sven Behnke |
| 2019 | Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans. Iago Otero Coto, Plácido Francisco Lizancos Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega |
| 2019 | Conditional BRUNO: a neural process for exchangeable labelled data. Iryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre |
| 2019 | Conditional WGAN for grasp generation. Florian Patzelt, Robert Haschke, Helge J. Ritter |
| 2019 | Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems. Krishna Mohan Mishra, Tomi Krogerus, Kalevi Huhtala |
| 2019 | Deep Embedded SOM: joint representation learning and self-organization. Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille |
| 2019 | Deep RL for autonomous robots: limitations and safety challenges. Olov Andersson, Patrick Doherty |
| 2019 | Deep Weisfeiler-Lehman assignment kernels via multiple kernel learning. Nils M. Kriege |
| 2019 | Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patients. Enrico Grisan, Alessandro Zandonà, Barbara Di Camillo |
| 2019 | Deep hybrid approach for 3D plane segmentation. Felipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé |
| 2019 | Defending against poisoning attacks in online learning settings. Greg Collinge, Emil C. Lupu, Luis Muñoz-González |
| 2019 | Design of Power-Efficient FPGA Convolutional Cores with Approximate Log Multiplier. Leonardo Tavares Oliveira, Min Soo Kim, Alberto A. Del Barrio García, Nader Bagherzadeh, Ricardo Menotti |
| 2019 | Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction. Francesco Crecchi, Davide Bacciu, Battista Biggio |
| 2019 | Detecting Ghostwriters in High Schools. Magnus Stavngaard, August Sørensen, Stephan Lorenzen, Niklas Hjuler, Stephen Alstrup |
| 2019 | Detecting adversarial examples with inductive Venn-ABERS predictors. Jonathan Peck, Bart Goossens, Yvan Saeys |
| 2019 | Dimensionality reduction in a hydraulic valve positioning application. Travis Wiens |
| 2019 | Direct calculation of out-of-sample predictions in multi-class kernel FDA. Matthias Treder |
| 2019 | DropConnect for Evaluation of Classification Stability in Learning Vector Quantization. Jensun Ravichandran, Sascha Saralajew, Thomas Villmann |
| 2019 | Dynamic fairness - Breaking vicious cycles in automatic decision making. Benjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang |
| 2019 | Efficient learning of email similarities for customer support. Jelle Bakker, Kerstin Bunte |
| 2019 | Embeddings and Representation Learning for Structured Data. Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti |
| 2019 | Experimental study of the neuron-level mechanisms emerging from backpropagation. Simon Carbonnelle, Christophe De Vleeschouwer |
| 2019 | Explaining classification systems using sparse dictionaries. Andrea Apicella, Francesco Isgrò, Roberto Prevete, Andrea Sorrentino, Guglielmo Tamburrini |
| 2019 | Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them? Charlotte Ducuing, Luca Oneto, Renzo Canepa |
| 2019 | Fast and reliable architecture selection for convolutional neural networks. Lukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs, Anton Kummert |
| 2019 | Feature and Algorithm Selection for Capacitated Vehicle Routing Problems. Jussi Rasku, Nysret Musliu, Tommi Kärkkäinen |
| 2019 | Feature relevance bounds for ordinal regression. Lukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer |
| 2019 | Frequency Domain Transformer Networks for Video Prediction. Hafez Farazi, Sven Behnke |
| 2019 | Fusing Features based on Signal Properties and TimeNet for Time Series Classification. Arijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam Shroff |
| 2019 | Graph generation by sequential edge prediction. Davide Bacciu, Alessio Micheli, Marco Podda |
| 2019 | Human feedback in continuous actor-critic reinforcement learning. Cristian Millán, Bruno J. T. Fernandes, Francisco Cruz |
| 2019 | Hybrid vibration signal monitoring approach for rolling element bearings. Jarno Kansanaho, Tommi Kärkkäinen |
| 2019 | Importance of user inputs while using incremental learning to personalize human activity recognition models. Pekka Siirtola, Heli Koskimäki, Juha Röning |
| 2019 | Improving Pedestrian Recognition using Incremental Cross Modality Deep Learning. Danut Ovidiu Pop, Alexandrina Rogozan, Fawzi Nashashibi, Abdelaziz Bensrhair |
| 2019 | Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results. Estelle M. Massart, Pierre-Yves Gousenbourger, Nguyen Thanh Son, Tatjana Stykel, Pierre-Antoine Absil |
| 2019 | Knowledge Discovery in Quarterly Financial Data of Stocks Based on the Prime Standard using a Hybrid of a Swarm with SOM. Michael C. Thrun |
| 2019 | L1-norm double backpropagation adversarial defense. Ismaïla Seck, Gaëlle Loosli, Stéphane Canu |
| 2019 | LEAP nets for power grid perturbations. Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer |
| 2019 | Learning Rich Event Representations and Interactions for Temporal Relation Classification. Onkar Arun Pandit, Pascal Denis, Liva Ralaivola |
| 2019 | Learning multimodal fixed-point weights using gradient descent. Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard |
| 2019 | Learning super-resolution 3D segmentation of plant root MRI images from few examples. Ali Oguz Uzman, Jannis Horn, Sven Behnke |
| 2019 | MAP best performances prediction for endurance runners. Ángel Campo, Marc Francaux, Laurent Baijot, Michel Verleysen |
| 2019 | Machine learning in research and development of new vaccines products: opportunities and challenges. Paul Smyth, Gaël de Lannoy, Moritz von Stosch, Alexander Pysik, Amin Khan |
| 2019 | Memory Efficient Weightless Neural Network using Bloom Filter. Leandro Santiago de Araújo, Letícia Dias Verona, Fábio Medeiros Rangel, Fabrício Firmino de Faria, Daniel Sadoc Menasché, Wouter Caarls, Maurício Breternitz, Sandip Kundu, Priscila Machado Vieira Lima, Felipe Maia Galvão França |
| 2019 | Metric learning with relational data. Jiajun Pan, Hoel Le Capitaine |
| 2019 | Metric learning with submodular functions. Jiajun Pan, Hoel Le Capitaine |
| 2019 | Minimax center to extract a common subspace from multiple datasets. Emilie Renard, Pierre-Antoine Absil, Kyle A. Gallivan |
| 2019 | Modal sense classification with task-specific context embeddings. Bo Li, Mathieu Dehouck, Pascal Denis |
| 2019 | Model selection for Extreme Minimal Learning Machine using sampling. Tommi Kärkkäinen |
| 2019 | Modeling Sparse Data as Input for Weightless Neural Network. Luis Filipe Kopp, José Barbosa-Filho, Priscila Machado Vieira Lima, Claudio M. de Farias |
| 2019 | Multi-target feature selection through output space clustering. Konstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas |
| 2019 | Multilingual short text categorization using convolutional neural network. Liriam Enamoto, Weigang Li |
| 2019 | Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-series. Babak Hosseini, Barbara Hammer |
| 2019 | Noise helps optimization escape from saddle points in the neural dynamics. Ying Fang, Zhaofei Yu, Feng Chen |
| 2019 | Nonnegative matrix factorization with polynomial signals via hierarchical alternating least squares. Cécile Hautecoeur, François Glineur |
| 2019 | On overfitting of multilayer perceptrons for classification. Joseph Rynkiewicz |
| 2019 | On the Speedup of Deep Reinforcement Learning Deep Q-Networks (RL-DQNs). Anas Albaghajati, Lahouari Ghouti |
| 2019 | On the definition of complex structured feature spaces. Nicolò Navarin, Dinh Van Tran, Alessandro Sperduti |
| 2019 | On-line learning dynamics of ReLU neural networks using statistical physics techniques. Michiel Straat, Michael Biehl |
| 2019 | Online Bayesian Shrinkage Regression. Waqas Jamil, Abdelhamid Bouchachia |
| 2019 | PAC-Bayes and Fairness: Risk and Fairness Bounds on Distribution Dependent Fair Priors. Luca Oneto, Michele Donini, Massimiliano Pontil |
| 2019 | Pixel-wise Conditioning of Generative Adversarial Networks. Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso |
| 2019 | Preconditioned conjugate gradient algorithms for graph regularized matrix completion. Shuyu Dong, Pierre-Antoine Absil, Kyle A. Gallivan |
| 2019 | Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions. Florian Mirus, Peter Blouw, Terrence C. Stewart, Jörg Conradt |
| 2019 | Prediction of palm oil production with an enhanced n-Tuple Regression Network. Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Aluizio S. Lima Filho, Gabriel P. Guarisa, Priscila Machado Vieira Lima, Felipe Maia Galvão França |
| 2019 | Privacy Preserving Synthetic Health Data. Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett |
| 2019 | Progress Towards Graph Optimization: Efficient Learning of Vector to Graph Space Mappings. Stefan Mautner, Rolf Backofen, Fabrizio Costa |
| 2019 | Reactive Soft Prototype Computing for frequent reoccurring Concept Drift. Christoph Raab, Moritz Heusinger, Frank-Michael Schleif |
| 2019 | Real-time Convolutional Neural Networks for emotion and gender classification. Matias Valdenegro-Toro, Octavio Arriaga, Paul Plöger |
| 2019 | Recent trends in streaming data analysis, concept drift and analysis of dynamic data sets. Albert Bifet, Barbara Hammer, Frank-Michael Schleif |
| 2019 | Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture. Florian Mirus, Benjamin Zorn, Jörg Conradt |
| 2019 | Societal Issues in Machine Learning: When Learning from Data is Not Enough. Davide Bacciu, Battista Biggio, Paulo Lisboa, José D. Martín, Luca Oneto, Alfredo Vellido |
| 2019 | Sparse minimal learning machine using a diversity measure minimization. Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen |
| 2019 | Statistical physics of learning and inference. Michael Biehl, Nestor Caticha, Manfred Opper, Thomas Villmann |
| 2019 | Systems with 'subjective feelings' - the perspective from weightless automata. Igor Aleksander, Helen Morton |
| 2019 | Tensor factorization to extract patterns in multimodal EEG data. Dounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, André Mouraux, Michel Verleysen |
| 2019 | Topic-based historical information selection for personalized sentiment analysis. Siwen Guo, Sviatlana Höhn, Christoph Schommer |
| 2019 | Towards a device-free passive presence detection system with Bluetooth Low Energy beacons. Maximilian Münch, Karsten Huffstadt, Frank-Michael Schleif |
| 2019 | TrIK-SVM : an alternative decomposition for kernel methods in Kreı̆n spaces. Gaëlle Loosli |
| 2019 | Transfer Learning for transferring machine-learning based models among hyperspectral sensors. Patrick Menz, Andreas Backhaus, Udo Seiffert |
| 2019 | Trust, law and ideology in a NN agent model of the US Appellate Courts. Nestor Caticha, Felippe Alves |
| 2019 | User-steering interpretable visualization with probabilistic principal components analysis. Viet Minh Vu, Benoît Frénay |
| 2019 | Using Deep Learning and Evolutionary Algorithms for Time Series Forecasting. Rafael Thomazi Gonzalez, Dante Augusto Couto Barone |
| 2019 | Variational auto-encoders with Student's t-prior. Najmeh Abiri, Mattias Ohlsson |
| 2019 | Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality. Luca Masera, Enrico Blanzieri |
| 2019 | Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest. Eduardo S. Ribeiro, Vitor A. M. F. Torres, Brayan James, Mateus T. Braga, Elcio H. Shiguemori, Haroldo F. de Campos Velho, Luiz C. B. Torres, Antônio P. Braga |
| 2019 | interpretable dynamics models for data-efficient reinforcement learning. Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek |
| 2019 | lightweight autonomous bayesian optimization of Echo-State Networks. Luca Cerina, Giuseppe Franco, Marco Domenico Santambrogio |
| 2019 | time series modelling of market price in real-time bidding. Manxing Du, Christian A. Hammerschmidt, Georgios Varisteas, Radu State, Mats Brorsson, Zhu Zhang |
| 2019 | training networks separately on static and dynamic obstacles improves collision avoidance during indoor robot navigation. Viktor Schmuck, David Meredith |
| 2019 | visualizing image classification in fourier domain. Florian Franzen, Chunrong Yuan |