AICS 2017
Artificial Intelligence and Cognitive Science

Table of Contents

Full Paper Track

• Approaches and Techniques for Analysing WiFi Location Data 1 - 12
  Clement Roux, John McAuley, James Little
• Assessing the Usefulness of Different Feature Sets for Predicting the Comprehension Difficulty of Text 12- 25
  Brian Mac Namee, John D. Kelleher, Noel Fitzpatrick
• Finding Niche Topics using Semi-Supervised Topic Modeling via Word Embeddings 36 - 48
  Gerald Conheady, Derek Greene
• Running with Cases: A CBR Approach to Running Your Best Marathon (abstract) 49
  Pádraig Cunningham, Barry Smyth
• A Comparison on the Classification of Short-text Documents Using Latent Dirichlet Allocation and Formal Concept Analysis 50 - 62
  Noel Rogers, Luca Longo
• Synthetic Dataset Generation for Online Topic Modeling 63 - 75
  Mark Belford, Brian Mac Namee, Derek Greene
• Extending Jensen Shannon Divergence to Compare Multiple Corpora (abstract) 76 - 88
  Jinghui Lu, Maeve Henchion, Brian Mac Namee
• Pinyin as Subword Unit for Chinese-Sourced Neural Machine Translation (abstract) 89 - 101
  Jinhua Du, Andy Way
• How Short is a Piece of String? : The Impact of Text Length and Text Augmentation on Short-text Classification 102 - 114
  Austin Mccartney, Svetlana Hensman, Luca Longo
• Semi-Supervised Overlapping Community Finding with Pairwise Constraints 115 - 127
  Elham Alghamdi, Derek Greene
• How Do Distance Runners Experience Inner Speech? An Empirical Investigation 128 - 138
  Brendan Duggan
• A Cognitive Learning Model that Combines Feature Formation and Event Prediction 139 - 151
  Eman Awad, Fintan Costello
• Personalised Recommendations for Modes of Transport: A Sequence-based Approach (abstract) 152
  Gunjan Kumar, Houssem Jerbi , Michael P. O'Mahony
• Inferring Destination from Mobility Data 153 - 165
  Ali Naeem, Kenneth Brown
• Inferring Waypoints in the Absence of Knowledge of Driving Style 166 - 178
  Daniel A. Desmond, Ken Brown
• On the Relationship between Sampling Rate and Hidden Markov Models Accuracy in Non-Intrusive Load Monitoring 180 - 192
  Steven Lynch, Luca Longo
• Multi-Resolution Forecast Aggregation for Time Series in Agri Datasets 193 - 205
  Fouad Bahrpeyma, Mark Roantree, Andrew McCarren
• Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction 206 - 218
  Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong
• Evaluation of Data Mining Techniques for Two Child-related Social Problems 219 - 231
  James Little, Hayder Abdulabbas Waheed, Andy Rixon
• Adoption, Architecture and Technology of Enterprise IoT Systems – Towards a Framework of Concerns in IoT Environments 232 - 244
  Popescu Mirona, Dumitriu Dan, Helfert Markus
• A Computational Lymph Tissue Model for Long Term HIV Infection Progression and Immune Fitness 245 - 257
  Andreas Hillmann, Martin Crane, Heather Ruskin
• Abusive Text Detection Using Neural Networks 258 - 260
  Hao Chen, Susan McKeever, Sarah Jane Delany

MSc Track

• DNS Traffic Analysis for Botnet Detection 261-271
  Monika Wielogorska, Darragh O'Brien
• Sentiment Analysis of Online Reviews Using Bag-of-Words and LSTM Approaches 272-274
  James Barry
• Colwell's Castle Defence: A Custom Game Using Dynamic Difficulty Adjustment to Increase Player Enjoyment 275-282
  Anthony Colwell, Frank Glavin
• Sentiment Evaluation: User, Business Assessment and Hashtag Analysis 283-294
  Chetan Jha, Ray Walshe
• Building High Usability Consumer-oriented Linked Data Mobile Apps 295-307
  Ying Wang, Rob Brennan
• Supervised and Unsupervised Approaches to the Ontology-Based Disambiguation of JSON Documents 295-307
  Chinmay Choudhary, Matthias Nickles, Colm O’Riordan,