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Programme

This is the programme for the 17th Annual UK Workshop on Computational Intelligence.

UKCI 2017 programme

17th Annual UK Workshop on Computational Intelligence programme

Accepted papers

Modelling and representation

  • John Heritage, Sharon McDonald and Ken McGarry: Integrating association rules mined from health-care data with ontological information for automated knowledge generation
  • Kai Lin, Dazhen Lin and Donglin Cao: Sentiment analysis model based on structure attention mechanism
  • Ratih Nur Esti Anggraini and Trevor P. Martin: Fuzzy representation for flexible requirement satisfaction
  • Yu Wan, Yidong Chen, Xiaodong Shi, Guorong Cai and Libai Cai: A multidisciplinary method for constructing and validating word similarity datasets
  • Zhenpeng Li, Changjing Shang and Qiang Shen: Fuzzy connected-triple for predicting inter-variable correlation
  • Ken McGarry and Ennock Assamoha: Data integration with self-organising neural network reveals chemical structure and therapeutic effects of drug ATC codes
  • Pu Zhang and Qiang Shen: A modified approach to inferring animal social networks from spatiotemporal data streams

Learning

  • Naohiro Ishii, Ippei Torii, Kazunori Iwata, Kazuya Odagiri and Toyoshiro Nakashima: Generation of reducts and threshold functions using discernibility and indiscernibility matrices
  • Qianqian Zhou, Chih-Min Lin and Fei Chao: Adaptive noise cancelation with fuzzy brain emotional learning network
  • John Butcher, Abigail Rutter, Adam Wootton, Charles Day and Josep Sulé-Suso: Artificial neural network analysis of volatile organic compounds for the detection of lung cancer
  • Emmanuel Smith, Jim Smith, Phil Legg and Simon Francis: Predicting the occurrence of world news events using recurrent neural networks and auto-regressive moving average models
  • Zirak Allaf, Mo Adda and Alexander Gegov: A comparison study on flush+reload prime+probe attacks on AES using machine learning approaches
  • Humphrey Sheil and Omer Rana: Classifying and recommending using gradient boosted machines and vector space models
  • Coral Walker and Hassan Alrehamy: SemCluster: unsupervised automatic keyphrase extraction using affinity propagation

Optimisation

  • Khaled Alrajhi, Jonathan Thompson and Wasin Padungwech: A heuristic approach for the dynamic frequency assignment problem
  • Darren Chitty: Applying ACO to large scale TSP instances
  • Twinkle Tripathy, Sarat Chandra Nagavarapu, Kaveh Azizian, Ramesh Pandi Ramasamy and Justin Dauwels: Solving dial-a-ride problems using multiple ant colony system with fleet size minimisation
  • Hui Li, Jianyong Sun, Yuanyuan Fan, Mingyang Wang and Qingfu Zhang: A new steady-state MOEA/D for sparse optimization
  • Şafak Topçu and A. Şima Etaner-Uyar: A multiobjective evolutionary algorithm approach for map sketch generation
  • Xiaogang Fu, Jianyong Sun and Qingfu Zhang: Reference-inspired many-objective evolutionary algorithm with subregion decomposition

Control and human-machine systems

  • Xiangqian Liu, Fei Chao, Min Jiang, Changle Zhou, Weifeng Ren and Minghui Shi: Towards low-cost P300-based BCI using Emotiv Epoc headset
  • Jiangqin Xu, Zhongqiang Huang, Minghui Shi and Min Jiang: Emotion detection in e-learning using expectation-maximization deep spatial-temporal inference network
  • David Ada Adama, Ahmad Lotfi, Caroline Langensiepen and Kevin Lee: Human activities transfer learning for assistive robotics
  • Yahya Qasim Al-Fadhili, Paul Chung, Baihua Li and Richard Bowman: 3D simulation of navigation problem of people with cerebral visual impairment
  • Ryan Cameron, Zheming Zuo, Graham Sexton and Longzhi Yang: A fall detection/recognition system and an empirical study of gradient-based feature extraction approaches
  • Owain Carpanini and Federico Cerutti: Towards an ontology of trust for situational understanding

Intelligent transportation

  • Shuru Wang, Donglin Cao, Dazhen Lin and Fei Chao: Traffic condition analysis based on users emotion tendency of microblog
  • Hejia Du, Hongguang Ma and Xiang Lin: Fuzzy bi-objective chance-constrained programming model for timetable optimization of a bus route
  • Haitao Yu, Hongguang Ma, Hejia Du, Xiaoran Dong and Yong Du: Bus scheduling timetable optimization based on hybrid bus sizes
  • Ye Wang, Wansheng Tang and Ruiqing Zhao: Supplier’s information strategy in the presence of a dominant retailer
  • Xiaofeng Xu and Jing Liu: Optimization allocation between multiple logistic tasks and logistic resources considered demand uncertainty
  • Wenyan Yuan, Jian Wang, Jian Li, Bailu Yan and Jun Wu: Two-stage heuristic algorithm for a new model of hazardous material multi-depot vehicle routing problem

Accepted abstracts (late-breaking results)

  • Christopher Hinde, Nandini Chakravorti, Tatiana Tambouratzis, and Andrew West: Reducing symbolic regression. [PDF]

The conference proceedings are available on Springer Link.