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TECHNICAL STREAM PAPERS
BEST TECHNICAL PAPER
Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation
MACHINE LEARNING AND NEURAL NETWORKS
Masked Conditional Neural Networks for Environmental Sound Classification
Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting
A Blackboard based Hybrid Multi-Agent System for Improving Classification Accuracy using Reinforcement Learning Techniques
MACHINE LEARNING, SPEECH AND VISION AND FUZZY LOGIC
Programming Without Program or How To Program in Natural Language Utterances
Capturing the Dynamics of Cellular Automata, for the Generation of Synthetic Persian Music, Using Conditional Restricted Boltzmann Machines
Measuring Relations between Concepts in Conceptual Spaces
Towards a Deep reinforcement learning approach for Tower Line Wars
Improving Modular Classification Rule Induction with G-Prism using Dynamic Rule Term Boundaries
SHORT TECHNICAL PAPERS
Inference and discovery in remote sensing data with features extracted using deep networks
Quantization Error-based Regularization in Neural Networks
Knowledge Transfer in Neural Language Models
Emotion Recognition in Text Using PPM
An experimental comparison of ensemble classifiers for evolving data streams
A learning automata Local Contribution Sampling applied to hydropower production optimization
Toward Component Based Self-Adaptive Multi-Strategic Pedagogical Agent
APPLICATION STREAM PAPERS
BEST APPLICATION PAPER
Cable Belief Networks
AI FOR HEALTHCARE
Towards the Integration of Prescription Analytics into Health Policy and General Practice
An Ontology to support Knowledge Management in Behaviour-based Healthcare
Using Semantic Web technologies to underpin the SNOMED CT query language
APPLICATIONS OF MACHINE LEARNING
Feature Level Ensemble Method for Classifying Multi-media Data
Reliability Based Bayesian Inference for Probabilistic Classification: An Overview of Sampling Schemes
Algorithms and Architecture for Real-time Recommendations at News UK
Customer Contact Journey Prediction
APPLICATIONS OF NEURAL NETWORKS AND FUZZY LOGIC
A Better Predictor of Marathon Race Times based on Neural Networks
Fuzzy Logic Based Personalized Task Recommendation System for Field Services
Application of Neural Network in Modeling Commuter Choice Behavior with a Novel Fuzzy Access Measure
CASE-BASED REASONING
Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning
Predicting Dust Storms Using Hybrid Intelligence System
AI TECHNIQUES
Decision support system for green real-life field scheduling problems
Multi-label Classification of Movie Posters into Genres with Rakel ensemble method
Parameter Search for a small swarm of AUVs using Particle Swarm Optimisation
SHORT APPLICATION PAPERS
Deep learning for classification of bi-lingual ads in online classifieds
Enhancing Symmetry in GAN Generated Fashion Images
Predicting Service Levels Using Neural Networks
Using Machine Learning for Dynamic Multicast Capacity Planning
Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data.
BEST TECHNICAL PAPER
Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation
MACHINE LEARNING AND NEURAL NETWORKS
Masked Conditional Neural Networks for Environmental Sound Classification
Ensembles of Recurrent Neural Networks for Robust Time Series Forecasting
A Blackboard based Hybrid Multi-Agent System for Improving Classification Accuracy using Reinforcement Learning Techniques
MACHINE LEARNING, SPEECH AND VISION AND FUZZY LOGIC
Programming Without Program or How To Program in Natural Language Utterances
Capturing the Dynamics of Cellular Automata, for the Generation of Synthetic Persian Music, Using Conditional Restricted Boltzmann Machines
Measuring Relations between Concepts in Conceptual Spaces
Towards a Deep reinforcement learning approach for Tower Line Wars
Improving Modular Classification Rule Induction with G-Prism using Dynamic Rule Term Boundaries
SHORT TECHNICAL PAPERS
Inference and discovery in remote sensing data with features extracted using deep networks
Quantization Error-based Regularization in Neural Networks
Knowledge Transfer in Neural Language Models
Emotion Recognition in Text Using PPM
An experimental comparison of ensemble classifiers for evolving data streams
A learning automata Local Contribution Sampling applied to hydropower production optimization
Toward Component Based Self-Adaptive Multi-Strategic Pedagogical Agent
APPLICATION STREAM PAPERS
BEST APPLICATION PAPER
Cable Belief Networks
AI FOR HEALTHCARE
Towards the Integration of Prescription Analytics into Health Policy and General Practice
An Ontology to support Knowledge Management in Behaviour-based Healthcare
Using Semantic Web technologies to underpin the SNOMED CT query language
APPLICATIONS OF MACHINE LEARNING
Feature Level Ensemble Method for Classifying Multi-media Data
Reliability Based Bayesian Inference for Probabilistic Classification: An Overview of Sampling Schemes
Algorithms and Architecture for Real-time Recommendations at News UK
Customer Contact Journey Prediction
APPLICATIONS OF NEURAL NETWORKS AND FUZZY LOGIC
A Better Predictor of Marathon Race Times based on Neural Networks
Fuzzy Logic Based Personalized Task Recommendation System for Field Services
Application of Neural Network in Modeling Commuter Choice Behavior with a Novel Fuzzy Access Measure
CASE-BASED REASONING
Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning
Predicting Dust Storms Using Hybrid Intelligence System
AI TECHNIQUES
Decision support system for green real-life field scheduling problems
Multi-label Classification of Movie Posters into Genres with Rakel ensemble method
Parameter Search for a small swarm of AUVs using Particle Swarm Optimisation
SHORT APPLICATION PAPERS
Deep learning for classification of bi-lingual ads in online classifieds
Enhancing Symmetry in GAN Generated Fashion Images
Predicting Service Levels Using Neural Networks
Using Machine Learning for Dynamic Multicast Capacity Planning
Asynchronous Population-Based Hill Climbing Applied to SPICE Model Generation from EM Simulation Data.