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Table of Contents
Technical Papers
On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models (Best Technical Paper)
Machine Learning
Generation of Human-aware Navigation Maps using Graph Neural Networks
Extended Category Learning with Spiking Nets and Spike Timing Dependent Plasticity
ORACLE: End-to-end Model Based Reinforcement Learning
Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables
AI Techniques
Assessing the Impact of Agents in Weighted Bipolar Argumentation Frameworks
Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms
AI Methods of Autonomous Geological Target Selection in the Hunt for Signs of Extraterrestrial Life
Probabilistic Rule Induction for Transparent CBR under Uncertainty
Short Technical Stream Papers
Detection of Brain Tumour using Deep Learning
GaussianProductAttributes: Density-based Distributed Representations for Products
Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes
Knowledge-Based Composable Inductive Programming
Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with word2vec Embeddings and Transformer-based BERT Models
Application Papers
Patients Forecasting in Emergency Services by using Machine Learning and Exogenous variables (Best Application Paper)
Applications of Machine Learning
Automatic Information Extraction from Electronic Documents using Machine Learning
Modelling Satellite Data for Automobile Insurance Risk
Ranking Pathology Data in the Absence of a Ground Truth
Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations
AI for Medicine
Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity
Addressing the Challenge of Data Heterogeneity using a Homogeneous Feature Vector Representation
Context-aware Support for Cardiac Health Monitoring using Federated Machine Learning
Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements
Advances in Applied AI
A Live-User Evaluation of a Visual Module Recommender & Advisory System for Undergraduate Students
AdverseGen: A Practical Tool for Generating Adversarial Examples to Deep Neural Networks Using Black-box Approaches
Adaptive Maneuver Planning for Autonomous Vehicles using Behavior Tree on Apollo Platform
Behavioural User Identification from Clickstream Data for Business Improvement
Short Application Stream Papers
AI enabled Bio Waste Contamination-Scanner
Parkinson's Disease Tremor Severity Classification
A Comparison Between ON and OFF Medication State
Towards Publishing Ontology-based Data Quality Metadata of Open Data
Towards a Brain Controller Interface for Generating Simple Berlin School Style Music with Interactive Genetic Algorithms.
On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models (Best Technical Paper)
Machine Learning
Generation of Human-aware Navigation Maps using Graph Neural Networks
Extended Category Learning with Spiking Nets and Spike Timing Dependent Plasticity
ORACLE: End-to-end Model Based Reinforcement Learning
Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables
AI Techniques
Assessing the Impact of Agents in Weighted Bipolar Argumentation Frameworks
Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms
AI Methods of Autonomous Geological Target Selection in the Hunt for Signs of Extraterrestrial Life
Probabilistic Rule Induction for Transparent CBR under Uncertainty
Short Technical Stream Papers
Detection of Brain Tumour using Deep Learning
GaussianProductAttributes: Density-based Distributed Representations for Products
Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes
Knowledge-Based Composable Inductive Programming
Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with word2vec Embeddings and Transformer-based BERT Models
Application Papers
Patients Forecasting in Emergency Services by using Machine Learning and Exogenous variables (Best Application Paper)
Applications of Machine Learning
Automatic Information Extraction from Electronic Documents using Machine Learning
Modelling Satellite Data for Automobile Insurance Risk
Ranking Pathology Data in the Absence of a Ground Truth
Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations
AI for Medicine
Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity
Addressing the Challenge of Data Heterogeneity using a Homogeneous Feature Vector Representation
Context-aware Support for Cardiac Health Monitoring using Federated Machine Learning
Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements
Advances in Applied AI
A Live-User Evaluation of a Visual Module Recommender & Advisory System for Undergraduate Students
AdverseGen: A Practical Tool for Generating Adversarial Examples to Deep Neural Networks Using Black-box Approaches
Adaptive Maneuver Planning for Autonomous Vehicles using Behavior Tree on Apollo Platform
Behavioural User Identification from Clickstream Data for Business Improvement
Short Application Stream Papers
AI enabled Bio Waste Contamination-Scanner
Parkinson's Disease Tremor Severity Classification
A Comparison Between ON and OFF Medication State
Towards Publishing Ontology-based Data Quality Metadata of Open Data
Towards a Brain Controller Interface for Generating Simple Berlin School Style Music with Interactive Genetic Algorithms.