Abstract is missing.
- Attacking Model Sets with Adversarial ExamplesIstván Megyeri, István Hegedüs, Márk Jelasity. 1-6 [doi]
- GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified ExamplesJulia Lust, Alexandru Paul Condurache. 7-12 [doi]
- Unsupervised Latent Space Translation NetworkMagda Friedjungová, Daniel Vasata, Tomás Chobola, Marcel Jirina. 13-18 [doi]
- Efficient computation of counterfactual explanations of LVQ modelsAndré Artelt, Barbara Hammer. 19-24 [doi]
- MultiMBNN: Matched and Balanced Causal Inference with Neural NetworksAnkit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff. 25-30 [doi]
- Learning Deep Fair Graph Neural NetworksLuca Oneto, Nicolò Navarin, Michele Donini. 31-36 [doi]
- Interpretation of Model Agnostic Classifiers via Local Mental ImagesAluizio Lima Filho, Gabriel P. Guarisa, Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Carlos Alberto Nunes Cosenza, Felipe M. G. França, Priscila M. V. Lima. 37-42 [doi]
- Estimating Individual Treatment Effects through Causal Populations IdentificationCéline Beji, Eric Benhamou, Michaël Bon, Florian Yger, Jamal Atif. 43-48 [doi]
- Towards Adversarial Attack Resistant Deep Neural NetworksTiago A. O. Alves, Sandip Kundu. 49-54 [doi]
- Fast and Stable Interval Bounds Propagation for Training Verifiably Robust ModelsPawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor. 55-60 [doi]
- Adversarial domain adaptation without gradient reversal layerAymen Cherif, Hugo Serieys. 61-66 [doi]
- ASAP - A Sub-sampling Approach for Preserving Topological StructuresAbolfazl Taghribi, Kerstin Bunte, Michele Mastropietro, Sven De Rijcke, Peter Tiño. 67-72 [doi]
- Image completion via nonnegative matrix factorization using B-splinesCécile Hautecoeur, François Glineur. 73-78 [doi]
- Motion Segmentation using Frequency Domain Transformer NetworksHafez Farazi, Sven Behnke. 79-84 [doi]
- Predicting low gamma- from lower frequency band activity in electrocorticographyMarc M. Van Hulle, Bob Van Dyck, Benjamin Wittevrongel, Flavio Camarrone, Ine Dauwe, Evelien Carrette, Alfred Meurs, Paul Boon 0001, Dirk Van Roost. 85-90 [doi]
- Lower bounds on the nonnegative rank using a nested polytopes formulationJulien Dewez, François Glineur. 91-96 [doi]
- Resume: A Robust Framework for Professional Profile Learning & EvaluationClara Gainon de Forsan de Gabriac, Constance Scherer, Amina Djelloul, Vincent Guigue, Patrick Gallinari. 97-102 [doi]
- Invariant Integration in Deep Convolutional Feature SpaceMatthias Rath, Alexandru Paul Condurache. 103-108 [doi]
- On Learning a Control System without Continuous FeedbackGeorgi Angelov, Bogdan Georgiev. 109-114 [doi]
- Time Series Prediction using Disentangled Latent FactorsPerrine Cribier-Delande, Raphaël Puget, Vincent Guigue, Ludovic Denoyer. 115-120 [doi]
- Biochemical Pathway Robustness Prediction with Graph Neural NetworksMarco Podda, Alessio Micheli, Davide Bacciu, Paolo Milazzo. 121-126 [doi]
- Graph Neural Networks for the Prediction of Protein-Protein InterfacesNiccolò Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, Pietro Bongini. 127-132 [doi]
- Embedding of FRPN in CNN architectureAlberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi. 133-138 [doi]
- Verifying Deep Learning-based Decisions for Facial Expression RecognitionInes Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid. 139-144 [doi]
- Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentationOscar J. Pellicer-Valero, María J. Rupérez-Moreno, José David Martín-Guerrero. 145-150 [doi]
- Linear Graph Convolutional NetworksNicolò Navarin, Wolfgang Erb, Luca Pasa, Alessandro Sperduti. 151-156 [doi]
- Deep Recurrent Graph Neural NetworksLuca Pasa, Nicolò Navarin, Alessandro Sperduti. 157-162 [doi]
- Investigating 3D-STDenseNet for Explainable Spatial Temporal Crime ForecastingBrian Maguire, Faisal Ghaffar. 163-168 [doi]
- Visualization of the Feature Space of Neural NetworksCarlos M. Alaíz, Ángela Fernández 0001, José R. Dorronsoro. 169-174 [doi]
- Theoretically Expressive and Edge-aware Graph LearningFederico Errica, Davide Bacciu, Alessio Micheli. 175-180 [doi]
- Random Signal Cut for Improving Multimodal CNN Robustness of 2D Road Object DetectionRobin Condat, Alexandrina Rogozan, Abdelaziz Bensrhair. 181-186 [doi]
- New Results on Sparse Autoencoders for Posture Classification and SegmentationDoreen Jirak, Stefan Wermter. 187-192 [doi]
- Fréchet Mean Computation in Graph Space through Projected Block Gradient DescentNicolas Boria, Benjamin Négrevergne, Florian Yger. 193-198 [doi]
- Improving Light-weight Convolutional Neural Networks for Face Recognition Targeting Resource Constrained PlatformsIulian-Ionut Felea, Radu Dogaru. 199-204 [doi]
- Variational MIxture of Normalizing FlowsGuilherme G. P. Freitas Pires, Mário A. T. Figueiredo. 205-210 [doi]
- Fast Deep Neural Networks Convergence using a Weightless Neural ModelAlan T. L. Bacellar, Brunno F. Goldstein, Victor da Cruz Ferreira, Leandro Santiago 0001, Priscila M. V. Lima, Felipe M. G. França. 211-216 [doi]
- An Empirical Study of Iterative Knowledge Distillation for Neural Network CompressionSharan Yalburgi, Tirtharaj Dash, Ramya Hebbalaguppe, Srinidhi Hegde, Ashwin Srinivasan 0001. 217-222 [doi]
- Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classificationMohammadreza Qaraei, Sujay Khandagale, Rohit Babbar. 223-228 [doi]
- Incorporating Human Priors into Deep Reinforcement Learning for Robotic ControlManon Flageat, Kai Arulkumaran, Anil A. Bharath. 229-234 [doi]
- Sparse K-means for mixed data via group-sparse clusteringMarie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu. 235-240 [doi]
- A Survey of Machine Learning applied to Computer NetworksAlexander Gepperth, Sebastian Rieger. 241-250 [doi]
- Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics SystemVladimir Muliukha, Alexey Lukashin, Lev V. Utkin, Mikhail Popov, Anna A. Meldo. 251-256 [doi]
- Quantum Machine LearningJosé David Martín-Guerrero, Lucas Lamata. 257-266 [doi]
- Machine learning framework for control in classical and quantum domainsArchismita Dalal, Eduardo J. Páez, Seyed Shakib Vedaie, Barry C. Sanders. 267-272 [doi]
- Understanding and improving unsupervised training of Boltzman machinesPrzemyslaw R. Grzybowski, Gorka Muñoz-Gil, Alejandro Pozas-Kerstjens, Miguel Angel Garcia-March, Maciej Lewenstein. 273-278 [doi]
- Quantum-Inspired Learning Vector Quantization for Classification LearningThomas Villmann, Jensun Ravichandran, Alexander Engelsberger, Andrea Villmann, Marika Kaden. 279-284 [doi]
- An quantum algorithm for feedforward neural networks tested on existing quantum hardwareDaniele Bajoni, Dario Gerace, Chiara Macchiavello, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli. 285-290 [doi]
- Approximating Archetypal Analysis Using Quantum AnnealingSebastian Feld, Christoph Roch, Katja Geirhos, Thomas Gabor. 292-296 [doi]
- Explorations in Quantum Neural Networks with Intermediate MeasurementsLukas Franken, Bogdan Georgiev. 297-302 [doi]
- A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal PredictionMatthias Karlbauer, Sebastian Otte, Hendrik P. A. Lensch, Thomas Scholten, Volker Wulfmeyer, Martin V. Butz. 303-308 [doi]
- Softmax Recurrent Unit: A new type of RNN cellLucas Vos, Twan van Laarhoven. 309-314 [doi]
- Language Grounded Task-Adaptation in Reinforcement LearningMatthias Hutsebaut-Buysse, Kevin Mets, Steven Latré. 315-320 [doi]
- Object-centered Fourier Motion Estimation and Segment-Transformation PredictionMoritz Wolter, Angela Yao, Sven Behnke. 321-326 [doi]
- Recurrent Feedback Improves Recognition of Partially Occluded ObjectsMarkus Roland Ernst, Jochen Triesch, Thomas Burwick. 327-332 [doi]
- Sequence Classification using Ensembles of Recurrent Generative Expert ModulesMarius Hobbhahn, Martin V. Butz, Sarah Fabi, Sebastian Otte. 333-338 [doi]
- Epistemic Risk-Sensitive Reinforcement LearningHannes Eriksson, Christos Dimitrakakis. 339-344 [doi]
- Tournament Selection Improves Cartesian Genetic Programming for Atari GamesTim Cofala, Lars Elend, Oliver Kramer. 345-350 [doi]
- Handling missing data in recurrent neural networks for air quality forecastingMichel Tokic, Anja von Beuningen, Christoph Tietz, Hans-Georg Zimmermann. 351-356 [doi]
- Self-organizing maps in manifolds with complex topologies: An application to the planning of closed path for indoor UAV patrolsHervé Frezza-Buet. 357-362 [doi]
- Detection of abnormal driving situations using distributed representations and unsupervised learningFlorian Mirus, Terrence C. Stewart, Jörg Conradt. 363-368 [doi]
- Comparison of Cluster Validity Indices and Decision Rules for Different Degrees of Cluster SeparationSara Kaczynska, Rebecca Marion, Rainer von Sachs. 369-374 [doi]
- Sparse Metric Learning in Prototype-based ClassificationJohannes Brinkrolf, Barbara Hammer. 375-380 [doi]
- Joint optimization of predictive performance and selection stabilityVictor Hamer, Pierre Dupont. 381-386 [doi]
- Perplexity-free Parametric t-SNEFrancesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu. 387-392 [doi]
- Explaining t-SNE Embeddings Locally by Adapting LIMEAdrien Bibal, Viet Minh Vu, Géraldin Nanfack, Benoît Frénay. 393-398 [doi]
- Do we need hundreds of classifiers or a good feature selection?Laura Morán-Fernández, Verónica Bolón-Canedo, Amparo Alonso-Betanzos. 399-404 [doi]
- Random Projection in supervised non-stationary environmentsMoritz Heusinger, Frank-Michael Schleif. 405-410 [doi]
- On Feature Selection Using Anisotropic General Regression Neural NetworkFederico Amato, Fabian Guignard, Philippe Jacquet, Mikhail Kanevski. 411-416 [doi]
- A preconditioned accelerated stochastic gradient descent algorithmAlexandru Onose, Seyed Iman Mossavat, Henk-Jan H. Smilde. 417-422 [doi]
- Improving the Union Bound: a Distribution Dependent ApproachLuca Oneto, Sandro Ridella, Davide Anguita. 423-428 [doi]
- Compressive Learning of Generative NetworksVincent Schellekens, Laurent Jacques. 429-434 [doi]
- Learning Step Size Adaptation in Evolution StrategiesOliver Kramer. 435-440 [doi]
- Tensor Decompositions in Deep LearningDavide Bacciu, Danilo P. Mandic. 441-450 [doi]
- Tensor Decompositions in Recursive Neural Networks for Tree-Structured DataDaniele Castellana, Davide Bacciu. 451-456 [doi]
- Mining Temporal Changes in Strengths and Weaknesses of Cricket Players Using Tensor DecompositionSwarup Ranjan Behera, Vijaya Saradhi Vedula. 457-462 [doi]
- 3D U-Net for Segmentation of Plant Root MRI Images in Super-ResolutionYi Zhao, Nils Wandel, Magdalena Landl, Andrea Schnepf, Sven Behnke. 463-468 [doi]
- Respiratory Pattern Recognition from Low-Resolution Thermal ImagingSalla Aario, Ajinkya Gorad, Miika Arvonen, Simo Särkkä. 469-474 [doi]
- Missing Image Data Imputation using Variational Autoencoders with Weighted LossRicardo Cardoso Pereira, Joana Cristo Santos, José Pereira Amorim, Pedro Pereira Rodrigues, Pedro Henriques Abreu. 475-480 [doi]
- Seq-to-NSeq model for multi-summary generationGuillaume Le Berre, Christophe Cerisara. 481-486 [doi]
- CNN Encoder to Reduce the Dimensionality of Data Image for Motion PlanningJanderson Ferreira, Agostinho A. F. Júnior, Yves M. Galvão, Bruno J. T. Fernandes, Pablo V. A. Barros. 487-492 [doi]
- Learning from partially labeled dataSiamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens. 493-502 [doi]
- Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networksBernardo Pérez Orozco, Stephen J. Roberts. 503-508 [doi]
- Domain Invariant Representations with Deep Spectral AlignmentChristoph Raab, Peter Meier, Frank-Michael Schleif. 509-514 [doi]
- Weighted Emprirical Risk Minimization: Transfer Learning based on Importance SamplingRobin Vogel, Mastane Achab, Stéphan Clémençon, Charles Tillier. 515-520 [doi]
- Modelling human sound localization with deep neural networksKiki van der Heijden, Siamak Mehrkanoon. 521-526 [doi]
- A Real-time PCB Defect Detector Based on Supervised and Semi-supervised LearningFan He, Sanli Tang, Siamak Mehrkanoon, Xiaolin Huang, Jie Yang 0002. 527-532 [doi]
- Machine learning in the biopharma industryGaël de Lannoy, Thibault Helleputte, Paul Smyth. 533-540 [doi]
- Deep Learning to Detect Bacterial Colonies for the Production of VaccinesPaul Smyth, John A. Lee, Gaël de Lannoy, Thomas Beznik. 541-546 [doi]
- A Systematic Assessment of Deep Learning Models for Molecule GenerationDavide Rigoni, Nicolò Navarin, Alessandro Sperduti. 547-552 [doi]
- An agile machine learning project in pharma - developing a Mask R-CNN-based web application for bacterial colony countingPaul Smyth, Tanguy Naets, Gaël de Lannoy, Laurent Sorber. 553-558 [doi]
- Frontiers in Reservoir ComputingClaudio Gallicchio, Mantas Lukosevicius, Simone Scardapane. 559-566 [doi]
- Reservoir memory machinesBenjamin Paassen, Alexander Schulz 0001. 567-572 [doi]
- Pyramidal Graph Echo State NetworksFilippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli. 573-578 [doi]
- Simplifying Deep Reservoir ArchitecturesClaudio Gallicchio, Alessio Micheli, Antonio Sisbarra. 579-584 [doi]
- Self-organized dynamic attractors in recurrent neural networksBenedikt Vettelschoss, Matthias Freiberger, Joni Dambre. 585-590 [doi]
- Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions RecognitionGin Chong Lee, Chu Kiong Loo, Wei Shiung Liew, Stefan Wermter. 591-596 [doi]
- Language processing in the era of deep learningIvano Lauriola, Alberto Lavelli, Fabio Aiolli. 597-606 [doi]
- Modular Length Control for Sentence GenerationKatya Kudashkina, Peter Wittek, Jamie Kiros, Graham W. Taylor. 607-612 [doi]
- Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical DomainFarrokh Mehryary, Hans Moen, Tapio Salakoski, Filip Ginter. 613-618 [doi]
- Adversarials-1 in Speech Recognition: Detection and DefenceNils Worzyk, Stefan Niewerth, Oliver Kramer. 619-624 [doi]
- On the long-term learning ability of LSTM LMsWim Boes, Robbe Van Rompaey, Lyan Verwimp, Joris Pelemans, Hugo Van Hamme, Patrick Wambacq. 625-630 [doi]
- Cross-Encoded Meta Embedding towards Transfer LearningGyörgy Kovács, Rickard Brännvall, Johan Öhman, Marcus Liwicki. 631-636 [doi]
- Exploring the feature space of character-level embeddingsIvano Lauriola, Stefano Campese, Alberto Lavelli, Fabio Rinaldi 0001, Fabio Aiolli. 637-642 [doi]
- Detection of elementary particles with the WiSARD n-tuple classifierPedro Xavier, Massimo De Gregorio, Felipe M. G. França, Priscila M. V. Lima. 643-648 [doi]
- Automatic Pain Intensity Recognition: Training Set Selection based on Outliers and CentroidsPeter Bellmann, Patrick Thiam, Friedhelm Schwenker. 649-654 [doi]
- Binary and Multi-label Defect Classification of Printed Circuit Board based on Transfer LearningGeorge O. de A. Azevedo, Leandro H. de S. Silva, Agostinho A. F. Júnior, Bruno J. T. Fernandes, Sergio C. Oliveira. 655-660 [doi]
- SDOstream: Low-Density Models for Streaming Outlier DetectionAlexander Hartl, Félix Iglesias, Tanja Zseby. 661-666 [doi]
- Locally Adaptive Nearest NeighborsJan Philip Göpfert, Heiko Wersing, Barbara Hammer. 667-672 [doi]
- Equilibrium Propagation for Complete Directed Neural NetworksMatilde Tristany, Sérgio Pequito, Pedro A. Santos, Mário A. T. Figueiredo. 673-678 [doi]
- On-edge adaptive acoustic models: an application to acoustic person presence detectionLode Vuegen, Peter Karsmakers. 679-684 [doi]
- Gaussian process regression for the estimation of stable univariate time-series processesGeorgios Birpoutsoukis, Julien M. Hendrickx. 685-690 [doi]
- Problem Transformation Methods with Distance-Based Learning for Multi-Target RegressionJoonas Hämäläinen, Tommi Kärkkäinen. 691-696 [doi]
- Adapting Random Forests to Cope with Heavily Censored Datasets in Survival AnalysisTossapol Pomsuwan, Alex Alves Freitas. 697-702 [doi]
- Model Variance for Extreme Learning MachineFabian Guignard, Mohamed Laib, Mikhail Kanevski. 703-708 [doi]
- Multi-Directional Laplacian Pyramids for Completion of Missing Data EntriesNeta Rabin. 709-714 [doi]
- Navigational Freespace Detection for Autonomous Driving in Fixed RoutesAparajit Narayan, Elio Tuci, William Xachiti, Aaron Parsons. 715-720 [doi]
- Similarities between policy gradient methods in reinforcement and supervised learningEric Benhamou, David Saltiel. 721-726 [doi]