Papers Accepted for the Technical Stream

Best Technical Paper

Sparse Covariance Matrix Adaptation Techniques for Evolution Strategies
S. Meyer-Nieberg and E. Kropat (Universität der Bundeswehr München, Germany)

Other Technical papers (Oral Presentation)

Session T1: Knowledge Discovery and Data Mining

A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests
Khaled Fawagreh, Mohamed Medhat Gaber and Eyad Elyan (Robert Gordon University, UK)

A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification
Esra’a Alshdaifat, Frans Coenen and Keith Dures (University of Liverpool, UK)

CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests
Khaled Fawagreh, Mohamed Medhat Gaber and Eyad Elyan (Robert Gordon University, UK)

Session T2: Machine Learning and Knowledge Acquisition

Fast Handwritten Digit Recognition with Multilayer Ensemble Extreme Learning Machine
Hossein Ghodrati Noushahr, Samad Ahmadi and Arlene Casey (De Montfort University, UK)

Stylochronometry: Timeline Prediction in Stylometric Analysis
C. Klaussner and C. Vogel (Trinity College Dublin, Ireland)

Semantic Analysis for Document Similarity and Search Queries
Charlene Cassar and Samad Ahmadi (De Montfort University, UK)

Social Trust in a Familiar Community
Eseosa Oshodin, Francisco Chiclana and Samad Ahmadi (De Montfort University, UK)

Session T3: AI in Action

Surface Reconstruction From Point Clouds Using A Novel Variational Model
J.M. Duan, B. Haines, W.O.C. Ward and L. Bai (University of Nottingham, UK)

3D Spatial Reasoning Using the Clock Model
J. I. Olszewska (University of Gloucestershire, UK)

Scheduling with Structured Preferences
R. Micalizio and G. Torta (Università di Torino, Italy)

An Optimisation Algorithm Inspired by Dendritic Cells
N. M. Y. Lee and H. Y. K. Lau (University of Hong Kong, HKSAR)

Short Papers Accepted for Technical Stream (poster presentation)

Deterministic Assimilation Clustering
A. C. Lea (Primary Key Associates, England)

Graph-based multi-document summarization – An initial investigation
A. Al-Saleh and M. El Bachir Menai (King Saud University, Saudi Arabia)

Towards Expressive Rule Induction on IP Network Event Streams
Chris Wrench, Frederic Stahl and Giuseppe Di Fatta (University of Reading, UK), Vidhyalakshmi Karthikeyan and Detlef Nauck (BT Research and Innovation, UK)

A Hybrid Ensemble for Classifying & Repurposing Financial Entities
Peter John Hampton, Hui Wang, William Blackburn (Ulster University, UK)

Data Mining and Knowledge Discovery Approach for Manufacturing in Process Data Optimization
Raed S. Batbooti and R. S. Ransing (Swansea University, UK)