| 2020 | Data Fusion of Activity and CGM for Predicting Blood Glucose Levels. | Hoda Nemat, Heydar Khadem, Jackie Elliott, Mohammed Benaissa |
| 2020 | Learning Kernel-Based Embeddings in Graph Neural Networks. | Nicol Navarin, Dinh Van Tran, Alessandro Sperduti |
| 2020 | Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients. | Meike Nauta, Michel J. A. M. van Putten, Marleen C. Tjepkema-Cloostermans, Jeroen Bos, Maurice van Keulen, Christin Seifert |
| 2020 | Enhanced Foraging in Robot Swarms Using Collective Lvy Walks. | Johannes Nauta, Stef Van Havermaet, Pieter Simoens, Yara Khaluf |
| 2020 | Granular Computing and Incremental Classification. | Xenia A. Naidenova, Vladimir Parkhomenko |
| 2020 | Understanding Individual Behaviour: From Virtual to Physical Patterns. | Marco De Nadai, Bruno Lepri, Nuria Oliver |
| 2020 | Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms. | Jose M. Moyano, Eva L. Gibaja, Krzysztof J. Cios, Sebastin Ventura |
| 2020 | Towards Human-Based Models of Behaviour in Social Robots: Exploring Age-Related Differences in the Processing of Gaze Cues in Human-Robot Interaction. | Lucas Morillo-Mndez, scar Martnez Mozos |
| 2020 | Variational Objectives for Markovian Dynamics with Backward Simulation. | Antonio Khalil Moretti, Zizhao Wang, Luhuan Wu, Iddo Drori, Itsik Pe'er |
| 2020 | Assessing the Clinicians' Pathway to Embed Artificial Intelligence for Assisted Diagnostics of Fracture Detection. | Carlos Francisco Moreno-Garca, Truong Dang, Kyle Martin, Manish Patel, Andrew Thompson, Lesley Leishman, Nirmalie Wiratunga |
| 2020 | Multimodal Transfer Learning-Based Approaches for Retinal Vascular Segmentation. | Jos Morano, lvaro S. Hervella, Noelia Barreira, Jorge Novo, Jos Rouco |
| 2020 | SAI: A Sensible Artificial Intelligence That Plays with Handicap and Targets High Scores in 99 Go. | Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton |
| 2020 | Learning Conjunctive Information of Signals in Multi-Sensor Systems. | Seong-Eun Moon, Jong-Seok Lee |
| 2020 | Linking Actions to Value Categories - a First Step in Categorization for Easier Value Elicitation. | Djoshua D. M. Moonen, Myrthe L. Tielman |
| 2020 | LionForests: local interpretation of random forests. | Ioannis Mollas, Nick Bassiliades, Ioannis P. Vlahavas, Grigorios Tsoumakas |
| 2020 | Polynomial-Time Implicit Learnability in SMT. | Ionela G. Mocanu, Vaishak Belle, Brendan Juba |
| 2020 | Auction Description Language (ADL): General Framework for Representing Auction-Based Markets. | Munyque Mittelmann, Laurent Perrussel |
| 2020 | Learning Deterministic Automata on Infinite Words. | Jakub Michaliszyn, Jan Otop |
| 2020 | Learning Class-Based Graph Representation for Object Detection. | Shuyu Miao, Rui Feng, Yuejie Zhang, Weiguo Fan |
| 2020 | Building a Multi-Domain Neural Machine Translation Model Using Knowledge Distillation. | Idriss Mghabbar, Pirashanth Ratnamogan |
| 2020 | Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa. | Ole Jakob Mengshoel, Tong Yu, Ming Zeng |
| 2020 | Multi-Stage Transfer Learning with an Application to Selection Process. | Andre Mendes, Julian Togelius, Leandro dos Santos Coelho |
| 2020 | Comparison of Forecasting Algorithms for Type 1 Diabetic Glucose Prediction on 30 and 60-Minute Prediction Horizons. | Richard McShinsky, Brandon Marshall |
| 2020 | Online Blood Glucose Prediction Using Autoregressive Moving Average Model with Residual Compensation Network. | Ning Ma, Yuhang Zhao, Shuang Wen, Tao Yang, Ruikun Wu, Rui Tao, Xia Yu, Hongru Li |
| 2020 | General Supervision via Probabilistic Transformations. | Santiago Mazuelas, Aritz Prez |