2019
A comprehensive keyword analysis of online privacy policies
Kaur, J., Dara, R., Obimbo, C., & Song, F. (2019). Information Security Journal: A Global Perspective, 27 (8), 1-16, doi: 10.1080/19393555.2019.1606368.
A Deep and Scalable Unsupervised Machine Learning System for Cyber-Attack Detection in Large-Scale Smart Grids
H Karimipour, A Dehghantaha, R Parizi, KKR Choo, H Leung. In proceedings IEEE Access, vol. 7, pp. 80778-80788, 2019, doi: 10.1109/ACCESS.2019.2920326 (IF: 4.098)
Applying an Adaptive Generative Representation to the Investigation of Affordances in Puzzle
Ashlock and J. Mongomery. In proceedings of the 2019 IEEE Congress on Evolutionary Computation, PP. 762-769.
Automatic Generation of Diverse Cavern Maps with Morphing Cellular Automata
Kreitzer, D. Ashlock, and R. Pereira. Proceedings of the 2019 IEEE Conference on Games, PP 1-8.
Automatic Generation of Level Maps with the Do What’s Possible Representation
Ashlock and C. Salge. Proceedings of the 2019 IEEE Conference on Games, PP 1-8.
Batch normalization is a cause of adversarial vulnerability.
Angus Galloway, Anna Golubeva, Thomas Tanay, Medhat Moussa, and Graham Taylor. arXiv preprint arXiv:1905.02161 bib
Nihal Murali, Jonathan Schneider, Joel Levine, and Graham Taylor. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2019. bib
Convolutional Classification of Pathogenicity in H5 Avian Influenza Strains
Chadha, A., Dara, R., Poljak, Z. (2019). 18th IEEE International Conference on Machine Learning and Applications, Boca Raton, Florida, USA.
Dilation Functions in Global Optimization
S. Nobile, P. Cazzaniga and D. Ashlock. To appear in the proceedings of the 2019 IEEE Congress on Evolutionary Computation, 2301-2308.
Effect of Alert Presentation Mode and Hazard Direction Driver Takeover from an Autonomous Vehicle
Benjamin Cortens, Blair Nonnecke, Lana M. Trick. In proceedings of the Tenth International Driving Symposium on Human Factors in Driver Assessment,
Training and Vehicle Design
Feature Extraction of Epileptic EEG in Spectral Domain via Functional Data Analysis
Shengkun Xie, Anna T Lawniczak. In Proceedings of ICPRAM 2019 – the 8th Int. Conference on Pattern Recognition Applications and Methods. ICPRAM 2019 – The 8th International Conference on Pattern Recognition Applications and Methods, Prague, Czech Republic (118 – 127), 10- pages.
Fuzzy Pattern Tree for Edge Malware Detection and Categorization in IoT
E Modiri, A Azmoodeh, A Dehghantanha, DE Newton, R Parizi, H Karimipour. (Elsevier) Journal of System Architecture, vol. 97, pp. 1-7, Aug 2019, https://doi.org/10.1016/j.sysarc.2019.01.017
Generative, Lattice Representation for Point Packing
Gilbert and D. Ashlock, A Greedy. In Proceedings of the 2019 IEEE Congress on Evolutionary Computation, PP 3182-3189.
Governance and ethical issues of genomic and other forms of personal data
Teng, J., Bentley, C., Burgess, M., M., O’Doherty, K., C., McGrail, K. M. (2019). Sharing linked data sets for research: results from a deliberative public engagement event in British Columbia, Canada. International Journal of Population Data Science, 4(1), 13.
Image classification with hierarchical multigraph networks.
Boris Knyazev, Xiao Lin, Mohamed Amer, and Graham Taylor. In British Machine Vision Conference (BMVC). bib
Impact of Domain Vector Representations on the Classification of Disease-related Tweets
Yousefi, S., Dara, R., & Sharif, S. (2019). The 19th ACM Symposium on Document Engineering, September 23 to 26, 2019, Berlin, Germany.
Implementing Phenotypic Plasticity with an Adaptive Generative Representation
Ashlock, W. Ashlock, and J. Montgomery. In proceedings IEEE 2019 Conference on Bioinformatics and Computational Biology, PP. 173-180.
Improving Data Explainability in Analysis of Designed Computer Simulation Experiments
Shengkun Xie, Anna T. Lawniczak, Junlin Hao, Chong Gan. In Proceeding of The 2019 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2019), 8 pages, accepted.
Large Block Matching Characters for Dehydrin Classification
Ashlock, S. Gillis, A. Saunders, and A. Riley. In Proceedings of the IEEE 2019 Conference on Bioinformatics and Computational Biology, PP 199-206.
Machine learning techniques to identify mind-wandering and predict hazard response time in fully immersive driving simulation
John Beninger, Andrew Hamilton-Wright,Heather Walker, Lana Trick.
Shengkun Xie, Anna T. Lawniczak, Chong Gan. Computation 2019, 7(3), 53: 21 pages
Modelling Standard Work with Simple Virtual Agents
Ashlock, A Saunders, J. Marshall and D. Calder. Proceedings of the 2019 IEEE Congress on Evolutionary Computation, PP 2999-3006.
On the evaluation of conditional GANs.
Terrance DeVries, Adriana Romero, Luis Pineda, Graham Taylor, and Michal Drozdal. arXiv preprint arXiv:1907.08175 bib
Pandemic: A Graph Evolution Story
Dube, S. Houghten, and D. Ashlock. In Proceedings of the IEEE 2019 Conference on Bioinformatics and Computational Biology, PP 157-164.
Parameter Tuning of a Peak Fitting Algorithm with an Evolved Experimental Design
Brown and D. Ashlock. In proceedings of the 2019 IEEE Congress on Evolutionary Computation, PP. 2379-2386.
Prisoner’s Dilemma Agents with Phenotypic Plasticity
Ashlock, A. Saunders, and E.Y. Kim. Proceedings of the 2019 IEEE Conference on Games, PP 1-8.
Representation for Evolution of Epidemic Models
Michael Dube, Sheridan Houghten, and D. Ashlock. In proceedings of the 2019 IEEE Congress on Evolutionary Computation, PP 2371-2378.
Strategies for Exploiting Fairness in N-player Ultimatum Games
Greenwood and D. Ashlock, Monte Carlo.Proceedings of the 2019 IEEE Conference on Games, PP 1-7.
Tell, draw, and repeat: Generating and modifying images based on continual linguistic instruction.
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, and Graham Taylor. In International Conference on Computer Vision (ICCV), 2019. Early version appeared at the Neural Information Processing Systems (NeurIPS) Workshop on Visually Grounded Interaction and Language (ViGIL). bib
Testing a Protocol for Characterizing Game Playing Agents Trained via Evolution on a New Game
Y. Kim and D. Ashlock. IEEE Transactions on Games, early electronic access.
The Riddle of Togelby
Ashlock and C. Salge. In Proceedings of the 2019 IEEE Conference on Games, PP 1-8.
Towards Image Classification with Machine Learning Methodologies for Smartphones
L. Zhu, P. Spachos, in Machine Learning and Knowledge Extraction, vol. 1, pp. 1039-1057
Transparency in food supply chains: A review of enabling technology solutions
Astill, J., Dara, R., Campbell, M., Farber, J., Fraser, E., et al. (2019). Trends in Food Science & Technology, 91, 240-247, doi: https://doi.org/10.1016/j.tifs.2019.07.024.
Understanding attention and generalization in graph neural networks.
Boris Knyazev, Graham Taylor, and Mohamed Amer. In Neural Information Processing Systems (NeurIPS), 2019. To appear. Early version appeared at the International Conference on Learning Representations (ICLR) Workshop on Representation Learning on Graphs and Manifolds. bib
Using Convolutional Neural Networks to Extract Keywords and Keyphrases: A Case Study for Foodborne Illnesses
Wang, J., Song, F., Walia, K., Farber, J., Dara, R. (2019). 18th IEEE International Conference on Machine Learning and Applications, Boca Raton, Florida, USA.
2018
A Deep Recurrent Neural Network Based Approach for Internet of Things Malware Threat Hunting
H HaddadPajouh, A Dehghantanha, R Khayami, KKR Choo (Elsevier) Journal of Future Generation Computer Systems (FGCS), 2018, DOI: https://DOI.org/10.1016/j.future.2018.03.007
W. Li, P. Spachos, M. ChignelL, A. Leon-Garcia, L. Zucherman, J. Jiang, in Elsevier Computer Networks, vol. 142, pp. 194-207
Adversarial examples as an input-fault tolerance problem
Angus Galloway, Anna Golubeva, and Graham Taylor. In Neural Information Processing Systems (NeurIPS) Workshop on Security in Machine Learning. bib
Adversarial training versus weight decay.
Angus Galloway, Thomas Tanay, and Graham Taylor. arXiv preprint arXiv:1802.04457 bib
Anna T. Lawniczak, Fei Yu, Mauri G, Yacoubi SEl, Dennunzio A, Nishinari K, Manzoni L. Cellular Automata. ACRI 2018. LNCS (11115): 8 pages
A Review of Knowledge Discovery Process in Control and Mitigation of Avian Influenza
Yousefi, S., Dara, R., Poljak, Z., & Sharif, S. (2018). Animal Health Research Reviews.
Attacking binarized neural networks.
Angus Galloway, Graham Taylor, and Medhat Moussa. In International Conference on Learning Representations (ICLR). bib
Can Drosophila melanogaster tell who’s who?
Jonathan Schneider, Nihal Murali, Graham Taylor, and Joel Levine bib
Children’s perspectives on the benefits and burdens of research participation
Barned, C., Dobson, J., Stinzi, A., Mack, D., & O’Doherty, K. C. (2018). AJOB Empirical Bioethics, 9(1), 19-28. DOI: 10.1080/23294515.2018.1430709
Data driven point packing for fast clustering
Stoodley, D. Ashlock, M. Graether. In the Proceedings of the 2018 IEEE Conference on Computational Intelligence in Bioiformatics and Computational Biology, Pages 1-8.
Detecting and Predicting Emerging Disease in Poultry With the Implementation of New Technologies and Big Data: A Focus on Avian Influenza Virus
Astill, J., Dara, R., Fraser, E., & Sharif, S. (2018). Frontiers in Veterinary Science., doi: 10.3389/fvets.2018.00337.
Designing Learned CO2-based Occupancy Estimation in Smart Buildings
C. Brennan, G. Taylor, P. Spachos, in IET Wireless Sensor Systems, vol. 8, no. 6, pp. 249-255
DRTHIS: Deep Dive into Ransomware Threat Hunting and Intelligence at Fog Layer
S Homayoun, A Dehghantanha, M Ahmadzadeh, S Hashemi, R Khayami, KKR Choo. (Elsevier) Journal of Future Generation Computer Systems (FGCS), 2019, https://DOI.org/10.1016/j.future.2018.07.045
Estimating Major Risk Factor Relativities In Rate Filings Using Generalized Linear Models
Shengkun Xie, Anna T. Lawniczak. International Journal of Financial Studies (2018), 6(4), 84: 14 pages, doi:10.3390/ijfs6040084
Evolving Number Sentence Morphing Puzzles
Ashlock and C. Kolthof. Proceedings of the 2018 IEEE Conference on Computational Intelligence in Games, PP 102-109.
Exploiting Fertility to Enable Automatic Content Generation to Ameliorate User Fatigue in Interactive Evolutionary Computation
Ashlock and J. A. Brown and L. Sulancva. In the Proceedings of the 2018 Congress on Evolutionary Computation, PP 1392-1398.
Forecasting Herd-Level Porcine Epidemic Diarrhea (PED) Frequency in Ontario (Canada)
Ajayi, T., Dara, R., & Poljak, Z. (2018). Preventive Veterinary Medicine (164), 15-22, doi: 10.1016/j.prevetmed.2019.01.005.
Glimpse clouds: Human activity recognition from unstructured feature points.
Fabien Baradel, Christian Wolf, Julien Mille, and Graham Taylor. In Proc. of the 31st IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR). bib
Human Microbiome and Learning Healthcare Systems: Integrating Research and Precision Medicine for Inflammatory Bowel Disease
Chuong, K. H., Mack, D. R., Stinzi, A., O’Doherty, K. C. (2018). OMICS A Journal of Integrative Biology, 22(2), 119-126. https://doi.org/10.1089/omi.2016.0185
Information Disclosure, Security, and Data Quality the 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems
Zaman, A., Obimbo, C., & Dara, R. (2018). 10868, 25-28 June, Montreal, Canada:, 768-779.
Learning confidence for out-of-distribution detection in neural networks.
Terrance DeVries and Graham Taylor. arXiv preprint arXiv:1802.04865 bib
Leveraging uncertainty estimates for predicting segmentation quality.
Terrance DeVries and Graham Taylor. arXiv preprint arXiv:1807.00502 bib
On the Evolution of Fairness in N-player Ultimatum Games
W. Greenwood and D. Ashlock. In the Proceedings of the 2018 Congress on Evolutionary Computation, PP 17-22.
Parameter selection for modeling of epidemic networks
Dube, S. Houghten, and D. Ashlock. In the Proceedings of the 2018 IEEE Conference on Computational Intelligence in Bioiformatics and Computational Biology, Pages 1-8.
Predicting adversarial examples with high confidence.
Angus Galloway, Graham Taylor, and Medhat Moussa. arXiv preprint arXiv:1802.04457 bib
Privacy Policy Annotation for Semi-Automated Analysis: A Cost-Effective Approach
Audich, D., Dara, R., & Nonnecke, B. (2018). Trust Management XII. IFIPTM 2018. IFIP Advances in Information and Communication Technology, 528, 9-13 July, Toronto, Canada:, 29-44.
Quantitatively evaluating GANs with divergences proposed for training
Daniel Jiwoong Im, He Ma, Graham Taylor, and Kristen Branson. In International Conference on Learning Representations (ICLR). bib
Region-Based Convolutional Networks for End-to-End Detection of Agricultural Mushrooms
Olpin, A., Dara, R., & Stacey, D. (2018). 8th International Conference on Image and Signal Processing, 10884, July 2-4, 2018, Cherbourg, France.:, 319-328.
Robust Malware Detection for Internet Of (Battlefield) Things Devices Using Deep Eigenspace Learning
A Azmoudeh, A Dehghantanha and KKR Choo. (IEEE) Transactions on Sustainable Computing, 2018, DOI: 10.1109/TSUSC.2018.2809665
Spectral multigraph networks for discovering and fusing relationships in molecules.
Boris Knyazev, Xiao Lin, Mohamed R. Amer, and Graham Taylor. In Neural Information Processing Systems (NeurIPS) Workshop on Machine Learning for Molecules and Materials. bib
Starch formation inside plastids of higher plants
Goren, D. Ashlock, and I. J. Tetlow. Protoplasma, 255(6), PP 1855-1876.
Stochastic layer-wise precision in deep neural networks.
Griffin Lacey, Graham Taylor, and Shawki Areibi. In Uncertainty in Artificial Intelligence (UAI). bib
Toward General Mathematical Game Playing Agents
Ashlock and E.Y. Kim and D. Perez-Lebana. Proceedings of the 2018 IEEE Conference on Computational Intelligence in Games, PP 110-116.
Two Population Studies of Evolving Game-Playing Agents
Ashlock and E. Y. Kim. In the Proceedings of the 2018 Congress on Evolutionary Computation, PP 23-29.
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