8:00 Welcome Address

8:15 Session 1 – Fuzzy and Granular Computing (Chair: Neil Mac Parthaláin)

  • 8:15 A Study of Neuro-weighted Nearest-neighbour Classification
    Qianyi Zhang, Guanli Yue, Yanpeng Qu, and Ansheng Deng
  • 8:35 Rough-Fuzzy Rule Interpolation for Data-Driven Decision Making
    Chengyuan Chen and Qiang Shen
  • 8:55 An Evolving Feature Weighting Framework for Granular Fuzzy Logic Models
    Muhammad Zaiyad Muda and George Panoutsos
  • 9:15 Q-Routing with Multiple Soft Requirements
    Trevor Martin, Douglas Harewood-Gill, and Reza Nejabati
  • 9:35 Fuzzy Intelligent System for Improving High Availability of a Docker-Based Hybrid Cloud Infrastructure
    Nitin Naik

9:55 – 10:10 BREAK

10:10 Session 2 – Health Informatics (Chair: Dr. Otar Akanyeti)

  • 10:10 Assessing Significance of Cognitive Assessments for Diagnosing Alzheimer’s Disease with Fuzzy-Rough Feature Selection
    Tianhua Chen, Changjing Shang, Pan Su, Yinghua Shen, Mufti Mahmud, Raymond Moodley, Grigoris Antoniou, and Qiang Shen
  • 10:30 Towards Fuzzy Context-Aware Automatic Gait Assessments in Free-Living Environments
    Megan Taylor Bunker, Arshad Sher, Vera Akpokodje, Federico Villagra, Neil Mac Parthaláin, and Otar Akanyeti
  • 10:50 Proposing a Three-stage Model to Quantify Bradykinesia on a Symptom Severity Level Using Deep Learning
    Ramzi Jaber, Rami Qahwaji, Amr Abdullatif, John Buckley and Raed Abd- Alhameed
  • 11:10 Developing Prediction Models for Large for Gestational Age Infants Using Ethnically Diverse Data
    Sumaia Sabouni, Rami Qahwaji, Krzysztof Poterlowicz, and Anne M Graham
  • 11:30 ASD Children Adaption Behaviour Assessment via Hand Movement Properties: A RoadMap
    Dinghuang Zhang, Carrie M. Toptan, Shuwen Zhao, Gongyue Zhang, and Honghai Liu

11:50 – 12:00 BREAK

12:00 Keynote 1: Prof. Bernadette Bouchon-Meunier (Chair: Dr. Neil Mac Parthaláin)
“Fuzzy Artificial Intelligence for Explainable Artificial Intelligence”

Abstract: Explainable Artificial Intelligence has been at the core of many developments in Artificial Intelligence in the recent years, following the DARPA incentives to both produce more explainable artificial intelligence models while maintaining good learning performances, and enable the user to easily interact with intelligent systems. Several related concepts are inherent in the quality of intelligent systems, such as their understandability, their expressiveness or their interpretability. The latter has been in particular, extensively investigated in the construction and analysis of fuzzy intelligent systems. We will review several of these aspects, mainly dealing with the capacity of an intelligent system to explain how it obtains results, and to provide the user with easily understandable outcomes, in light of the fuzzy paradigm. We will show that fuzzy models participate effectively in solutions to achieve one or the other of these goals, going beyond classic fuzzy rule-based systems.

13:00 – 14:00 LUNCH BREAK

14:00 Session 3 – Evolutionary Algorithms (Chair: Dr. Thomas Jansen)

  • 14:00 ACO Inspired GA Mutation Applied to the TSP
    Darren Chitty
  • 14:20 Centralised and Decentralised Control of Video Game Agents
    Sam G. Robinson, Chloe M. Barnes, and Peter R. Lewis
  • 14:40 An Enhancement of the NSGA-II Reliability Optimization using Extended Kalman Filter Based Initialization
    Savas Yuce and Ke Li
  • 15:00 Stochasticity improves evolvability in artificial gene regulatory networks
    Alexander Turner and Katharina C. Wollenberg Valero
  • 15:20 Avoiding Excess Computation in Asynchronous Evolutionary Algorithms
    Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, and Kenneth A. De Jong

15:40 – 16:00 BREAK

16:00 Session 4 – Data Mining and Data-Driven Approaches I (Chair: Prof. Ahmad Lotfi)

  • 16:00 Markov Decision Processes with Contextual Nodes as a Method of Assessing Attacking Player Performance in Rugby League
    Thomas Sawczuk, Anna Palczewska, and Ben Jones
  • 16:20 Decentralised and Privacy Preserving Machine Learning for Multiple Distributed Data Resources
    Mona Alkhozae and Xiaojun Zeng
  • 16:40 Rule Base Structure and Influence of Existing Rules: An Initial Investigation
    Changhong Jiang, Changjing Shang and Qiang Shen
  • 17:00 Using AI Approaches for Predicting Tomato Growth in Hydroponic Systems
    Gadelhag Mohmed, Steven Grundy, Ahmad Lotfi, and Chungui Lu
  • 17:20 Interpretable Model for Artefact Detection in Local Field Potentials via Feature Extraction and Decision Trees
    Marcos I. Fabietti, Mufti Mahmud, Ahmad Lotfi, Alberto Averna, David Guggenmos, Randolph Nudo, and Michela Chiappalone

17:40 – CLOSE Day 1