• ABCNet: Predicting Chromosomal Compartments Directly from Reference Genomes 

  Kirchhof, Matthew (2021-04)
• A Framework Based on Bag of Feature and CatBoost for Attack Detection and Attribution in Industrial Control Systems 

  Nakhodchi, Sanaz (2021)
• Keyword Extraction for Privacy Policy Analysis Using Topic Modelling Approaches 

  Chen, Sijie (2021-01)
• An effective positive-unlabeled learning method for detecting a large scale of malware variants 

  Khan, Mohammad Faham (IEEE, 2021-01)
• Inducing Grammar from Sparse Data Sets 

  Khan, Labeeb (2020-09)
• Barriers to Employment and Equal Pay for Disadvantaged Groups 

  Gatto, Laura E (Springer; Emerald, 2020-10)
• A Case Study in the Design and Development of a Community-Based Internet Assessment Initiative in Rigolet, Nunatsiavut, Canada 

  Durish, Nic (2020-08)
• An Analytical Timing Driven Placement Tool for Heterogeneous FPGA Architectures 

  Martin, Timothy (2020-09)
• Machine Learning Techniques to Identify Mind-Wandering and Predict Hazard Response Time in Fully Immersive Driving Simulation 

  Beninger, John (Springer, 2020-07)
• Exploring the Effects of Precision Livestock Farming Notification Mechanisms on Dairy Farmers 

  Islam, Muhammad Muhaiminul (2020-08)
• Mixing ICI and CSI Models for More Efficient Probabilistic Inference 

  Roher, Michael (2020)
• A Decision Support Framework for the Surveillance and Prediction of Avian Influenza Events 

  Yousefinaghani, Samira (2020-06-29)
• Deep Learning Based Computer Vision for Animal Re-Identification 

  Schneider, Stefan (2020-06)
• Investigating Device-Specific Visual Feedback for Cross-Device Transfer in Table-Centric Multi-Surface Environments 

  Scott, Stacey D.; Besacier, Guillaume; Goyal, Nippun; Cento, Frank (Wiley, 2016)
• A comparison of machine learning classifiers for use on historical record linkage 

  Kaur, Pavneet (2020-05)
• Investigating Perceptions, Motivations, and Challenges in the Adoption of Precision Livestock Farming in the Beef Industry 

  Makinde, Ayoola (2020-05)
• Learning Non-Impeding Noisy-AND Tree Model Based Bayesian Networks From Data 

  Wang, Qian (2020-02)
• A Hybrid Unsupervised Classification Technique for Automatic Brain MRI Tumor Recognition 

  Khan, Omar Irfan (2020-01)
• Analysis of Distracted Driver Behaviour using Self Organizing Maps 

  Samson, Matthew Immanuel (2020-01)
• A Semantic-based Approach to Reduce the Reading Time of Privacy Policies 

  Kaur, Jasmin (2020-01)

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