| 2020 | Detection of elementary particles with the WiSARD n-tuple classifier. | Pedro Xavier, Massimo De Gregorio, Felipe M. G. Frana, Priscila M. V. Lima |
| 2020 | Adversarials-1 in Speech Recognition: Detection and Defence. | Nils Worzyk, Stefan Niewerth, Oliver Kramer |
| 2020 | Object-centered Fourier Motion Estimation and Segment-Transformation Prediction. | Moritz Wolter, Angela Yao, Sven Behnke |
| 2020 | On-edge adaptive acoustic models: an application to acoustic person presence detection. | Lode Vuegen, Peter Karsmakers |
| 2020 | Softmax Recurrent Unit: A new type of RNN cell. | Lucas Vos, Twan van Laarhoven |
| 2020 | Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling. | Robin Vogel, Mastane Achab, Stphan Clmenon, Charles Tillier |
| 2020 | Quantum-Inspired Learning Vector Quantization for Classification Learning. | Thomas Villmann, Jensun Ravichandran, Alexander Engelsberger, Andrea Villmann, Marika Kaden |
| 2020 | Self-organized dynamic attractors in recurrent neural networks. | Benedikt Vettelschoss, Matthias Freiberger, Joni Dambre |
| 2020 | Equilibrium Propagation for Complete Directed Neural Networks. | Matilde Tristany, Srgio Pequito, Pedro A. Santos, Mrio A. T. Figueiredo |
| 2020 | Handling missing data in recurrent neural networks for air quality forecasting. | Michel Tokic, Anja von Beuningen, Christoph Tietz, Hans-Georg Zimmermann |
| 2020 | ASAP - A Sub-sampling Approach for Preserving Topological Structures. | Abolfazl Taghribi, Kerstin Bunte, Michele Mastropietro, Sven De Rijcke, Peter Tio |
| 2020 | An agile machine learning project in pharma - developing a Mask R-CNN-based web application for bacterial colony counting. | Paul Smyth, Tanguy Naets, Gal de Lannoy, Laurent Sorber |
| 2020 | Deep Learning to Detect Bacterial Colonies for the Production of Vaccines. | Paul Smyth, John A. Lee, Gal de Lannoy, Thomas Beznik |
| 2020 | MultiMBNN: Matched and Balanced Causal Inference with Neural Networks. | Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff |
| 2020 | Compressive Learning of Generative Networks. | Vincent Schellekens, Laurent Jacques |
| 2020 | Embedding of FRPN in CNN architecture. | Alberto Rossi, Markus Hagenbuchner, Franco Scarselli, Ah Chung Tsoi |
| 2020 | A Systematic Assessment of Deep Learning Models for Molecule Generation. | Davide Rigoni, Nicol Navarin, Alessandro Sperduti |
| 2020 | Verifying Deep Learning-based Decisions for Facial Expression Recognition. | Ines Rieger, Rene Kollmann, Bettina Finzel, Dominik Seuss, Ute Schmid |
| 2020 | Invariant Integration in Deep Convolutional Feature Space. | Matthias Rath, Alexandru Paul Condurache |
| 2020 | Multi-Directional Laplacian Pyramids for Completion of Missing Data Entries. | Neta Rabin |
| 2020 | Domain Invariant Representations with Deep Spectral Alignment. | Christoph Raab, Peter Meier, Frank-Michael Schleif |
| 2020 | Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification. | Mohammadreza Qaraei, Sujay Khandagale, Rohit Babbar |
| 2020 | Adapting Random Forests to Cope with Heavily Censored Datasets in Survival Analysis. | Tossapol Pomsuwan, Alex Alves Freitas |
| 2020 | Biochemical Pathway Robustness Prediction with Graph Neural Networks. | Marco Podda, Alessio Micheli, Davide Bacciu, Paolo Milazzo |
| 2020 | Variational MIxture of Normalizing Flows. | Guilherme G. P. Freitas Pires, Mrio A. T. Figueiredo |