| 2020 | Missing Image Data Imputation using Variational Autoencoders with Weighted Loss. | Ricardo Cardoso Pereira, Joana Cristo Santos, Jos Pereira Amorim, Pedro Pereira Rodrigues, Pedro Henriques Abreu |
| 2020 | Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentation. | Oscar J. Pellicer-Valero, Mara J. Ruprez-Moreno, Jos David Martn-Guerrero |
| 2020 | Deep Recurrent Graph Neural Networks. | Luca Pasa, Nicol Navarin, Alessandro Sperduti |
| 2020 | Graph Neural Networks for the Prediction of Protein-Protein Interfaces. | Niccol Pancino, Alberto Rossi, Giorgio Ciano, Giorgia Giacomini, Simone Bonechi, Paolo Andreini, Franco Scarselli, Monica Bianchini, Pietro Bongini |
| 2020 | Reservoir memory machines. | Benjamin Paassen, Alexander Schulz |
| 2020 | Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks. | Bernardo Prez Orozco, Stephen J. Roberts |
| 2020 | A preconditioned accelerated stochastic gradient descent algorithm. | Alexandru Onose, Seyed Iman Mossavat, Henk-Jan H. Smilde |
| 2020 | Improving the Union Bound: a Distribution Dependent Approach. | Luca Oneto, Sandro Ridella, Davide Anguita |
| 2020 | Learning Deep Fair Graph Neural Networks. | Luca Oneto, Nicol Navarin, Michele Donini |
| 2020 | Linear Graph Convolutional Networks. | Nicol Navarin, Wolfgang Erb, Luca Pasa, Alessandro Sperduti |
| 2020 | Navigational Freespace Detection for Autonomous Driving in Fixed Routes. | Aparajit Narayan, Elio Tuci, William Xachiti, Aaron Parsons |
| 2020 | Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System. | Vladimir Muliukha, Alexey Lukashin, Lev V. Utkin, Mikhail Popov, Anna A. Meldo |
| 2020 | Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models. | Pawel Morawiecki, Przemyslaw Spurek, Marek Smieja, Jacek Tabor |
| 2020 | Do we need hundreds of classifiers or a good feature selection? | Laura Morn-Fernndez, Vernica Boln-Canedo, Amparo Alonso-Betanzos |
| 2020 | Detection of abnormal driving situations using distributed representations and unsupervised learning. | Florian Mirus, Terrence C. Stewart, Jrg Conradt |
| 2020 | Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain. | Farrokh Mehryary, Hans Moen, Tapio Salakoski, Filip Ginter |
| 2020 | Learning from partially labeled data. | Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens |
| 2020 | Attacking Model Sets with Adversarial Examples. | Istvn Megyeri, Istvn Hegeds, Mrk Jelasity |
| 2020 | Quantum Machine Learning. | Jos David Martn-Guerrero, Lucas Lamata |
| 2020 | Investigating 3D-STDenseNet for Explainable Spatial Temporal Crime Forecasting. | Brian Maguire, Faisal Ghaffar |
| 2020 | GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples. | Julia Lust, Alexandru Paul Condurache |
| 2020 | Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition. | Gin Chong Lee, Chu Kiong Loo, Wei Shiung Liew, Stefan Wermter |
| 2020 | Language processing in the era of deep learning. | Ivano Lauriola, Alberto Lavelli, Fabio Aiolli |
| 2020 | Exploring the feature space of character-level embeddings. | Ivano Lauriola, Stefano Campese, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli |
| 2020 | Machine learning in the biopharma industry. | Gal de Lannoy, Thibault Helleputte, Paul Smyth |