| 2020 | MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. | Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine |
| 2020 | Region Proposal Network for Lung Nodule Detection and Segmentation. | Mohammad Hesam Hesamian, Wenjing Jia, Sean He, Paul J. Kennedy |
| 2020 | A Logic of Explicit and Implicit Distributed Belief. | Andreas Herzig, Emiliano Lorini, Elise Perrotin, Fabin Romero, Franois Schwarzentruber |
| 2020 | AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues. | Jos Hernndez-Orallo, Fernando Martnez-Plumed, Shahar Avin, Jess Whittlestone, Sen higeartaigh |
| 2020 | Finite and Confident Teaching in Expectation: Sampling from Infinite Concept Classes. | Jos Hernndez-Orallo, Jan Arne Telle |
| 2020 | Modelling Temporal Relationships in Pseudomonas Aeruginosa Antimicrobial Resistance Prediction in Intensive Care Unit. | lvar Hernndez-Carnerero, Miquel Snchez-Marr, Inmaculada Mora-Jimnez, Cristina Soguero-Ruz, Sergio Martnez-Agero, Joaqun lvarez-Rodrguez |
| 2020 | Outside the Box: Abstraction-Based Monitoring of Neural Networks. | Thomas A. Henzinger, Anna Lukina, Christian Schilling |
| 2020 | Efficient Neural Network Verification via Adaptive Refinement and Adversarial Search. | Patrick Henriksen, Alessio R. Lomuscio |
| 2020 | Bias in machine learning - what is it good for? | Thomas Hellstrm, Virginia Dignum, Suna Bensch |
| 2020 | A Transparent Framework towards the Context-Sensitive Recognition of Conversational Engagement. | Alexander Heimerl, Tobias Baur, Elisabeth Andr |
| 2020 | Neural Networks in Evolutionary Dynamic Constrained Optimization: Computational Cost and Benefits. | Maryam Hasani-Shoreh, Renato Hermoza Aragons, Frank Neumann |
| 2020 | Investigating Potentials and Pitfalls of Knowledge Distillation Across Datasets for Blood Glucose Forecasting. | Hadia Hameed, Samantha Kleinberg |
| 2020 | Local to Global Learning of a Latent Dynamic Bayesian Network. | Dan Halbersberg, Boaz Lerner |
| 2020 | Search for Better Students to Learn Distilled Knowledge. | Jindong Gu, Volker Tresp |
| 2020 | Simplifying Graph Attention Networks with Source-Target Separation. | Hantao Guo, Rui Yan, Yansong Feng, Xuesong Gao, Zhanxing Zhu |
| 2020 | A Two-Stream Network with Image-to-Class Deep Metric for Few-Shot Classification. | Qinghua Gu, Zhengding Luo, Yuesheng Zhu |
| 2020 | Verification of Neural Networks: Enhancing Scalability Through Pruning. | Dario Guidotti, Francesco Leofante, Luca Pulina, Armando Tacchella |
| 2020 | Sensitivity Analysis for Dimensionality Reduction in Agent-Based Modeling. | Bianca Granato, Nicole Y. K. Li-Jessen |
| 2020 | Gradual Guaranteed Coordination in Repeated Win-Lose Coordination Games. | Valentin Goranko, Antti Kuusisto, Raine Rnnholm |
| 2020 | Towards Traceability of Decision-making in Intelligent Context-based Adaptive System Environments. | Mandy Goram, Dirk Veiel |
| 2020 | Generative Design for Social Manufacturing. | Carlos Gonzlez-Val, Santiago Muios-Landn |
| 2020 | Ontological Proxies to Augment the Expressiveness of Discourse Analysis. | Cesar Gonzalez-Perez |
| 2020 | Universal, Unsupervised (rule-based), Uncovered Sentiment Analysis. | Carlos Gmez |
| 2020 | Ontology Focusing: Knowledge-Enriched Databases on Demand. | Tomasz Gogacz, Vctor Gutirrez-Basulto, Yazmn Ibez-Garca, Filip Murlak, Magdalena Ortiz, Mantas Simkus |
| 2020 | CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators. | Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani, Marc Schoenauer |