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Table of Contents
Technical Papers
Exposing Students to New Terminologies While Collecting Browsing Search Data
Neural Nets and Knowledge Management
Symbolic Explanation Module for Fuzzy Cognitive Map-based Reasoning Models
Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs
The Use of Max-Sat for Optimal Choice of Automated Theory Repairs
Machine Learning
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis using Tsetlin Machines
Personalised Meta-Learning for Human Activity Recognition with Few-data
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
Accelerating the Training of an LP-SVR over Large Datasets
Short Technical Stream Papers
Learning Categories with Spiking Nets and Spike Timing Dependent Plasticity
Developing Ensemble Methods for Detecting Anomalies in Water Level Data
Detecting Node Behaviour Changes in Subgraphs
ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units
Application Papers
Partial-ACO Mutation Strategies to Scale-up Fleet Optimisation and Improve Air Quality
Industrial Applications
A Metaheuristic Search Technique for Solving the Warehouse Stock Management Problem and the Routing Problem in a Real Company
Investigating the Use of Machine Learning for South African Edible Garnish Yield Prediction
Semantic Technologies Towards Accountable Artificial Intelligence: A Poultry Chain Management Use Case
Short-term Forecasting Methodology for Energy Demand in Residential Buildings and the Impact of the COVID-19 Pandemic on Forecasts
Weather Downtime Prediction in a South African Port Environment
Advances in Applied AI
Software Fault Localisation via Probabilistic Modelling
Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach
Ensemble-Based Relationship Discovery in Relational Databases
Intention-Aware Model to Support Agent Deliberation in a Large-Scale Dynamic Multi-Agent Application
Medical and Legal Applications
Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora
In-Bed Human Pose Classification Using Sparse Inertial Signals
Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience
What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing
Short Application Stream Papers
Using Sentence Embedding For Cross-Language Plagiarism Detection
Leveraging Anomaly Detection for Proactive Application Monitoring
Using Active Learning to Understand the Videoconference Experience: A Case Study
An Application of EDA and GA for Permutation Based Spare Part Allocation Problem
Do You Remember Me? Betty the Conversational Agent.
Exposing Students to New Terminologies While Collecting Browsing Search Data
Neural Nets and Knowledge Management
Symbolic Explanation Module for Fuzzy Cognitive Map-based Reasoning Models
Overlap Training to Mitigate Inconsistencies Caused by Image Tiling in CNNs
The Use of Max-Sat for Optimal Choice of Automated Theory Repairs
Machine Learning
Mining Interpretable Rules for Sentiment and Semantic Relation Analysis using Tsetlin Machines
Personalised Meta-Learning for Human Activity Recognition with Few-data
CostNet: An End-to-End Framework for Goal-Directed Reinforcement Learning
A Novel Multi-Step Finite-State Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
Accelerating the Training of an LP-SVR over Large Datasets
Short Technical Stream Papers
Learning Categories with Spiking Nets and Spike Timing Dependent Plasticity
Developing Ensemble Methods for Detecting Anomalies in Water Level Data
Detecting Node Behaviour Changes in Subgraphs
ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units
Application Papers
Partial-ACO Mutation Strategies to Scale-up Fleet Optimisation and Improve Air Quality
Industrial Applications
A Metaheuristic Search Technique for Solving the Warehouse Stock Management Problem and the Routing Problem in a Real Company
Investigating the Use of Machine Learning for South African Edible Garnish Yield Prediction
Semantic Technologies Towards Accountable Artificial Intelligence: A Poultry Chain Management Use Case
Short-term Forecasting Methodology for Energy Demand in Residential Buildings and the Impact of the COVID-19 Pandemic on Forecasts
Weather Downtime Prediction in a South African Port Environment
Advances in Applied AI
Software Fault Localisation via Probabilistic Modelling
Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach
Ensemble-Based Relationship Discovery in Relational Databases
Intention-Aware Model to Support Agent Deliberation in a Large-Scale Dynamic Multi-Agent Application
Medical and Legal Applications
Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora
In-Bed Human Pose Classification Using Sparse Inertial Signals
Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience
What Are We Depressed About When We Talk About COVID-19: Mental Health Analysis on Tweets Using Natural Language Processing
Short Application Stream Papers
Using Sentence Embedding For Cross-Language Plagiarism Detection
Leveraging Anomaly Detection for Proactive Application Monitoring
Using Active Learning to Understand the Videoconference Experience: A Case Study
An Application of EDA and GA for Permutation Based Spare Part Allocation Problem
Do You Remember Me? Betty the Conversational Agent.