Papers Accepted for the Technical Stream

Best Technical Paper

On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models
K. Shen and M. Kejriwal (University of Southern California, USA)

Best Student Technical Paper

Generation of Human-aware Navigation Maps using Graph Neural Networks
Daniel Rodriguez-Criado (Aston University, UK), Pilar Bachiller (University of Extremadura, Spain) and Luis J. Manso (Aston University, UK)

T1: Machine Learning

Extended Category Learning with Spiking Nets and Spike Timing Dependent Plasticity
C. Huyck and C. Samey (Middlesex University, UK)

ORACLE: End-to-end Model Based Reinforcement Learning
Per-Arne Andersen, Morten Goodwin and Ole-Christoffer Granmo (University of Agder, Norway)

Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables
Aidan Wallace, Alexander E.I. Brownlee and David Cairns (University of Stirling, UK)

T2: AI Techniques

Assessing the Impact of Agents in Weighted Bipolar Argumentation Frameworks
Areski Himeur (LIRMM, Inria, Univ Montpellier, CNRS, Montpellier, France), Bruno Yun (University of Aberdeen, UK), Pierre Bisquert (IATE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France), and Madalina Croitoru (LIRMM, Inria, Univ Montpellier, CNRS, Montpellier, France)

Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms
Martin Fyvie, John A.W. McCall and Lee A. Christie (Robert Gordon University, UK)

AI Methods of Autonomous Geological Target Selection in the Hunt for Signs of Extraterrestrial Life
A. Tettenborn and A. Ellery (Carleton University, Canada)

Probabilistic Rule Induction for Transparent CBR under Uncertainty
Martin Jedwabny (LIRMM, Inria, Univ Montpellier, CNRS, Montpellier, France), Pierre Bisquert (IATE, Univ Montpellier, INRAE, Institut Agro, Montpellier, France), and Madalina Croitoru (LIRMM, Inria, Univ Montpellier, CNRS, Montpellier, France).

Short Technical Stream Papers

Detection of Brain Tumour using Deep Learning
W. Ahmed and S. Konur (University of Bradford, UK)

GaussianProductAttributes: Density-based Distributed Representations for Products
H. Ghodrati Noushahr, J. Levesley, S. Ahmadi and E. Mirkes (University of Leicester, UK)

Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes
A. Abouzeid, O.-C. Granmo and M. Goodwin (University of Agder, Norway)

Knowledge-Based Composable Inductive Programming
E. McDaid and S. McDaid (Zoea Ltd.)

Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with word2vec Embeddings and Transformer-based BERT Models
M. Arguello-Casteleiro (University of Manchester, UK), N. Maroto (Universidad Politécnica de Madrid, Spain), C. Wroe (BMJ, UK), C. Sevillano Torrado (Hospital do Salnés, Spain), C. Henson (Midcheshire Hospital Foundation Trust, UK), J. Des-Diz (Hospital do Salnés, Spain), M.J. Fernandez-Prieto (University of Salford, UK), T. Furmston (University of Manchester, UK), D. Maseda Fernandez, M. Kulshrestha (Midcheshire Hospital Foundation Trust, UK), R. Stevens, J. Keane and S. Peters (University of Manchester, UK)