Table of Contents

• Analyzing spatial dissimilarities in high-resolution geo-data : a case study of four European citiesJulien Randon-Furling, William Clark, Madalina Olteanu. [doi]
• Privacy Preserving Synthetic Health DataAndrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett. [doi]
• L1-norm double backpropagation adversarial defenseIsmaïla Seck, Gaëlle Loosli, Stéphane Canu. [doi]
• Experimental study of the neuron-level mechanisms emerging from backpropagationSimon Carbonnelle, Christophe De Vleeschouwer. [doi]
• Pixel-wise Conditioning of Generative Adversarial NetworksCyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso. [doi]
• Towards a device-free passive presence detection system with Bluetooth Low Energy beaconsMaximilian Münch, Karsten Huffstadt, Frank-Michael Schleif. [doi]
• Comparison between DeepESNs and gated RNNs on multivariate time-series predictionClaudio Gallicchio, Alessio Micheli, Luca Pedrelli. [doi]
• Design of Power-Efficient FPGA Convolutional Cores with Approximate Log MultiplierLeonardo Tavares Oliveira, Min Soo Kim 0003, Alberto A. Del Barrio García, Nader Bagherzadeh, Ricardo Menotti. [doi]
• Model selection for Extreme Minimal Learning Machine using samplingTommi Kärkkäinen. [doi]
• Complex Valued Gated Auto-encoder for Video Frame PredictionNiloofar Azizi, Nils Wandel, Sven Behnke. [doi]
• A document detection technique using convolutional neural networks for optical character recognition systemsLorand Dobai, Mihai Teletin. [doi]
• On overfitting of multilayer perceptrons for classificationJoseph Rynkiewicz. [doi]
• Adversarial robustness of linear models: regularization and dimensionalityIstván Megyeri, István Hegedüs, Márk Jelasity. [doi]
• Deep Autoencoder Feature Extraction for Fault Detection of Elevator SystemsKrishna Mohan Mishra, Tomi Krogerus, Kalevi Huhtala. [doi]
• Importance of user inputs while using incremental learning to personalize human activity recognition modelsPekka Siirtola, Heli Koskimäki, Juha Röning. [doi]
• Minimax center to extract a common subspace from multiple datasetsEmilie Renard, Pierre-Antoine Absil, Kyle A. Gallivan. [doi]
• Modal sense classification with task-specific context embeddingsBo Li, Mathieu Dehouck, Pascal Denis. [doi]
• Machine learning in research and development of new vaccines products: opportunities and challengesPaul Smyth, Gaël de Lannoy, Moritz von Stosch, Alexander Pysik, Amin Khan. [doi]
• Statistical physics of learning and inferenceMichael Biehl, Nestor Caticha, Manfred Opper, Thomas Villmann. [doi]
• Learning Rich Event Representations and Interactions for Temporal Relation ClassificationOnkar Arun Pandit, Pascal Denis, Liva Ralaivola. [doi]
• Progress Towards Graph Optimization: Efficient Learning of Vector to Graph Space MappingsStefan Mautner, Rolf Backofen, Fabrizio Costa. [doi]
• Human feedback in continuous actor-critic reinforcement learningCristian Millán, Bruno J. T. Fernandes, Francisco Cruz 0002. [doi]
• Beta Distribution Drift Detection for Adaptive ClassifiersLukas Fleckenstein, Sebastian Kauschke, Johannes Fürnkranz. [doi]
• Multilingual short text categorization using convolutional neural networkLiriam Enamoto, Weigang Li. [doi]
• Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scansIago Otero Coto, Plácido Francisco Lizancos Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega. [doi]
• Deep Weisfeiler-Lehman assignment kernels via multiple kernel learningNils M. Kriege. [doi]
• Beyond Pham's algorithm for joint diagonalizationPierre Ablin, Jean-François Cardoso, Alexandre Gramfort. [doi]
• Tensor factorization to extract patterns in multimodal EEG dataDounia Mulders, Cyril de Bodt, Nicolas Lejeune, John A. Lee, André Mouraux, Michel Verleysen. [doi]
• training networks separately on static and dynamic obstacles improves collision avoidance during indoor robot navigationViktor Schmuck, David Meredith 0001. [doi]
• Bridging face and sound modalities through domain adaptation metric learningChristos Athanasiadis, Enrique Hortal, Stylianos Asteriadis. [doi]
• An evolutionary approach for optimizing weightless neural networksMaurizio Giordano, Massimo De Gregorio. [doi]
• Fusing Features based on Signal Properties and TimeNet for Time Series ClassificationArijit Ukil, Pankaj Malhotra, Soma Bandyopadhyay, Tulika Bose, Ishan Sahu, Ayan Mukherjee, Lovekesh Vig, Arpan Pal, Gautam M. Shroff. [doi]
• Learning multimodal fixed-point weights using gradient descentLukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard. [doi]
• Embeddings and Representation Learning for Structured DataBenjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Alessandro Sperduti. [doi]
• Multi-target feature selection through output space clusteringKonstantinos Sechidis, Eleftherios Spyromitros Xioufis, Ioannis P. Vlahavas. [doi]
• Fairness and Accountability of Machine Learning Models in Railway Market: are Applicable Railway Laws Up to Regulate Them?Charlotte Ducuing, Luca Oneto, Renzo Canepa. [doi]
• Deep convolutional neural network for survival estimation of Amyotrophic Lateral Sclerosis patientsEnrico Grisan, Alessandro Zandonà, Barbara Di Camillo. [doi]
• Application of deep neural networks for automatic planning in radiation oncology treatmentsAna M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve Jiang. [doi]
• Feature relevance bounds for ordinal regressionLukas Pfannschmidt, Jonathan Jakob, Michael Biehl, Peter Tiño, Barbara Hammer. [doi]
• Feature and Algorithm Selection for Capacitated Vehicle Routing ProblemsJussi Rasku, Nysret Musliu, Tommi Kärkkäinen. [doi]
• Metric learning with submodular functionsJiajun Pan, Hoel Le Capitaine. [doi]
• Frequency Domain Transformer Networks for Video PredictionHafez Farazi, Sven Behnke. [doi]
• DropConnect for Evaluation of Classification Stability in Learning Vector QuantizationJensun Ravichandran, Sascha Saralajew, Thomas Villmann. [doi]
• Deep hybrid approach for 3D plane segmentationFelipe Gomez Marulanda, Pieter Libin, Timothy Verstraeten, Ann Nowé. [doi]
• Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series PredictionMatteo Maggiolo, Gerasimos Spanakis. [doi]
• Detecting adversarial examples with inductive Venn-ABERS predictorsJonathan Peck, Bart Goossens, Yvan Saeys. [doi]
• On-line learning dynamics of ReLU neural networks using statistical physics techniquesMichiel Straat, Michael Biehl. [doi]
• Dynamic fairness - Breaking vicious cycles in automatic decision makingBenjamin Paaßen, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang. [doi]
• interpretable dynamics models for data-efficient reinforcement learningMarkus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek. [doi]
• Trust, law and ideology in a NN agent model of the US Appellate CourtsNestor Caticha, Felippe Alves. [doi]
• Sparse minimal learning machine using a diversity measure minimizationMadson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen. [doi]
• Explaining classification systems using sparse dictionariesAndrea Apicella, Francesco Isgrò, Roberto Prevete, Andrea Sorrentino, Guglielmo Tamburrini. [doi]
• Nonnegative matrix factorization with polynomial signals via hierarchical alternating least squaresCécile Hautecoeur, François Glineur. [doi]
• Modeling Sparse Data as Input for Weightless Neural NetworkLuis Filipe Kopp, José Barbosa-Filho, Priscila Machado Vieira Lima, Claudio M. de Farias. [doi]
• Prediction of palm oil production with an enhanced n-Tuple Regression NetworkLeopoldo Lusquino Filho, Luiz Oliveira, Aluizio Lima Filho, Gabriel Guarisa, Priscila Machado Vieira Lima, Felipe Maia Galvão França. [doi]
• Active one-shot learning with Prototypical NetworksRinu Boney, Alexander Ilin. [doi]
• On the Speedup of Deep Reinforcement Learning Deep Q-Networks (RL-DQNs)Anas Albaghajati, Lahouari Ghouti. [doi]
• Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forestEduardo 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. [doi]
• Real-time Convolutional Neural Networks for emotion and gender classificationMatias Valdenegro-Toro, Octavio Arriaga, Paul Plöger. [doi]
• Class-aware t-SNE: cat-SNECyril de Bodt, Dounia Mulders, Daniel López Sánchez, Michel Verleysen, John A. Lee. [doi]
• lightweight autonomous bayesian optimization of Echo-State NetworksLuca Cerina, Giuseppe Franco, Marco Domenico Santambrogio. [doi]
• Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positionsFlorian Mirus, Peter Blouw, Terrence C. Stewart, Jörg Conradt. [doi]
• PAC-Bayes and Fairness: Risk and Fairness Bounds on Distribution Dependent Fair PriorsLuca Oneto, Michele Donini, Massimiliano Pontil. [doi]
• Online Bayesian Shrinkage RegressionWaqas Jamil, Abdelhamid Bouchachia. [doi]
• Detecting Black-box Adversarial Examples through Nonlinear Dimensionality ReductionFrancesco Crecchi, Davide Bacciu, Battista Biggio. [doi]
• Using Deep Learning and Evolutionary Algorithms for Time Series ForecastingRafael Thomazi Gonzalez, Dante Augusto Couto Barone. [doi]
• User-steering interpretable visualization with probabilistic principal components analysisViet Minh Vu, Benoît Frénay. [doi]
• Metric learning with relational dataJiajun Pan, Hoel Le Capitaine. [doi]
• Systems with 'subjective feelings' - the perspective from weightless automataIgor Aleksander, Helen Morton. [doi]
• Hybrid vibration signal monitoring approach for rolling element bearingsJarno Kansanaho, Tommi Kärkkäinen. [doi]
• Memory Efficient Weightless Neural Network using Bloom FilterLeandro 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. [doi]
• A best-first branch-and-bound search for solving the transductive inference problem using support vector machinesHygor Xavier Araújo, Raul Fonseca Neto, Saulo Moraes Villela. [doi]
• Variational auto-encoders with Student's t-priorNajmeh Abiri, Mattias Ohlsson. [doi]
• Preconditioned conjugate gradient algorithms for graph regularized matrix completionShuyu Dong, Pierre-Antoine Absil, Kyle A. Gallivan. [doi]
• Deep RL for autonomous robots: limitations and safety challengesOlov Andersson, Patrick Doherty 0001. [doi]
• Topic-based historical information selection for personalized sentiment analysisSiwen Guo, Sviatlana Höhn, Christoph Schommer. [doi]
• Short-term trajectory planning using reinforcement learning within a neuromorphic control architectureFlorian Mirus, Benjamin Zorn, Jörg Conradt. [doi]
• Graph generation by sequential edge predictionDavide Bacciu, Alessio Micheli, Marco Podda. [doi]
• Fast and reliable architecture selection for convolutional neural networksLukas Hahn, Lutz Roese-Koerner, Klaus Friedrichs, Anton Kummert. [doi]
• On the definition of complex structured feature spacesNicolò Navarin, Dinh Van Tran, Alessandro Sperduti. [doi]
• Blind-spot network for image anomaly detection: A new approach to diabetic retinopathy screeningShaon Sutradhar, José Rouco, Marcos Ortega. [doi]
• Learning super-resolution 3D segmentation of plant root MRI images from few examplesAli Oguz Uzman, Jannis Horn, Sven Behnke. [doi]
• Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary resultsEstelle M. Massart, Pierre-Yves Gousenbourger, Nguyen Thanh Son, Tatjana Stykel, Pierre-Antoine Absil. [doi]
• Improving Pedestrian Recognition using Incremental Cross Modality Deep LearningDanut Ovidiu Pop, Alexandrina Rogozan, Fawzi Nashashibi, Abdelaziz Bensrhair. [doi]
• time series modelling of market price in real-time biddingManxing Du, Christian A. Hammerschmidt, Georgios Varisteas, Radu State, Mats Brorsson, Zhu Zhang. [doi]
• Societal Issues in Machine Learning: When Learning from Data is Not EnoughDavide Bacciu, Battista Biggio, Paulo Lisboa, José D. Martín, Luca Oneto, Alfredo Vellido. [doi]
• Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and localityLuca Masera, Enrico Blanzieri. [doi]
• Reactive Soft Prototype Computing for frequent reoccurring Concept DriftChristoph Raab, Moritz Heusinger, Frank-Michael Schleif. [doi]
• Noise helps optimization escape from saddle points in the neural dynamicsYing Fang, Zhaofei Yu, Feng Chen 0007. [doi]
• A Simple and Effective Scheme for Data Pre-processing in Extreme ClassificationSujay Khandagale, Rohit Babbar. [doi]
• Deep Embedded SOM: joint representation learning and self-organizationFlorent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille. [doi]
• Detecting Ghostwriters in High SchoolsMagnus Stavngaard, August Sørensen, Stephan Lorenzen, Niklas Hjuler, Stephen Alstrup. [doi]
• Knowledge Discovery in Quarterly Financial Data of Stocks Based on the Prime Standard using a Hybrid of a Swarm with SOMMichael C. Thrun. [doi]
• MAP best performances prediction for endurance runnersÁngel Campo, Marc Francaux, Laurent Baijot, Michel Verleysen. [doi]
• Recent trends in streaming data analysis, concept drift and analysis of dynamic data setsAlbert Bifet, Barbara Hammer, Frank-Michael Schleif. [doi]
• Defending against poisoning attacks in online learning settingsGreg Collinge, Emil C. Lupu, Luis Muñoz-González. [doi]
• Conditional BRUNO: a neural process for exchangeable labelled dataIryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre. [doi]
• Dimensionality reduction in a hydraulic valve positioning applicationTravis Wiens. [doi]
• Efficient learning of email similarities for customer supportJelle Bakker, Kerstin Bunte. [doi]
• LEAP nets for power grid perturbationsBenjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer. [doi]
• Transfer Learning for transferring machine-learning based models among hyperspectral sensorsPatrick Menz, Andreas Backhaus, Udo Seiffert. [doi]
• A WNN model based on Probabilistic Quantum MemoriesPriscila G. M. dos Santos, Rodrigo S. Sousa, Adenilton J. da Silva. [doi]
• Direct calculation of out-of-sample predictions in multi-class kernel FDAMatthias Treder. [doi]
• Committees as Artificial Organisms - Evolution and AdaptationRoberto Alamino. [doi]
• Conditional WGAN for grasp generationFlorian Patzelt, Robert Haschke, Helge J. Ritter. [doi]
• Chasing the Echo State PropertyClaudio Gallicchio. [doi]
• visualizing image classification in fourier domainFlorian Franzen, Chunrong Yuan. [doi]
• Multiple-Kernel dictionary learning for reconstruction and clustering of unseen multivariate time-seriesBabak Hosseini, Barbara Hammer. [doi]
• TrIK-SVM : an alternative decomposition for kernel methods in Kreı̆n spacesGaëlle Loosli. [doi]