| Deep learning for critical infrastructure resilience K Dick, L Russell, Y Souley Dosso, F Kwamena, JR Green Journal of Infrastructure Systems 25 (2), 05019003, 2019 | 65 | 2019 |
| Reciprocal perspective for improved protein-protein interaction prediction K Dick, JR Green Scientific reports 8 (1), 1-12, 2018 | 23 | 2018 |
| Algorithmic thinking in the public interest: navigating technical, legal, and ethical hurdles to web scraping in the social sciences A Luscombe, K Dick, K Walby Quality & Quantity 56 (3), 1023-1044, 2022 | 19 | 2022 |
| Pipe4: Fast ppi predictor for comprehensive inter-and cross-species interactomes K Dick, B Samanfar, B Barnes, ER Cober, B Mimee, LH Tan, SJ Molnar, ... Scientific reports 10 (1), 1390, 2020 | 19 | 2020 |
| Designing anti-Zika virus peptides derived from predicted human-Zika virus protein-protein interactions T Kazmirchuk, K Dick, DJ Burnside, B Barnes, H Moteshareie, ... Computational biology and chemistry 71, 180-187, 2017 | 19 | 2017 |
| RPmirDIP: Reciprocal Perspective improves miRNA targeting prediction DG Kyrollos, B Reid, K Dick, JR Green Scientific reports 10 (1), 11770, 2020 | 14 | 2020 |
| Positome: A method for improving protein-protein interaction quality and prediction accuracy K Dick, F Dehne, A Golshani, JR Green 2017 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2017 | 11 | 2017 |
| In silico engineering of synthetic binding proteins from random amino acid sequences D Burnside, A Schoenrock, H Moteshareie, M Hooshyar, P Basra, ... Iscience 11, 375-387, 2019 | 9 | 2019 |
| Chaos game representations & deep learning for proteome-wide protein prediction K Dick, JR Green 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 6 | 2020 |
| Computational prediction of the comprehensive SARS-CoV-2 vs. human Interactome to guide the design of therapeutics K Dick, KK Biggar, JR Green BioRxiv, 2020.03. 29.014381, 2020 | 6 | 2020 |
| Comparison of sequence-and structure-based protein-protein interaction sites K Dick, J Green 2016 IEEE EMBS International Student Conference (ISC), 1-4, 2016 | 6 | 2016 |
| Gas prices of America: The machine-augmented crowd-sourcing era K Dick, F Charih, J Woo, JR Green 2020 17th Conference on Computer and Robot Vision (CRV), 158-165, 2020 | 5 | 2020 |
| Insights into the suitability of utilizing brown rats (Rattus norvegicus) as a model for healing spinal cord injury with epidermal growth factor and fibroblast growth factor-II … N Grigg, A Schoenrock, K Dick, JR Green, A Golshani, A Wong, F Dehne, ... Computers in Biology and Medicine 104, 220-226, 2019 | 5 | 2019 |
| Systematic street view sampling: High quality annotation of power infrastructure in rural ontario K Dick, F Charih, YS Dosso, L Russell, JR Green 2018 15th Conference on Computer and Robot Vision (CRV), 134-141, 2018 | 5 | 2018 |
| Human–Soybean allergies: Elucidation of the seed proteome and comprehensive protein–protein interaction prediction K Dick, A Pattang, J Hooker, N Nissan, M Sadowski, B Barnes, LH Tan, ... Journal of Proteome Research 20 (11), 4925-4947, 2021 | 4 | 2021 |
| High quality annotations of power infrastructure in Rural Ontario K Dick, F Charih, J Green Dick, Kevin, 2018 | 4 | 2018 |
| The information theory of aging: Hacking immortality? A Vujin, K Dick Health Science Inquiry 11 (1), 148-154, 2020 | 3 | 2020 |
| Identifying unvaccinated individuals in Canada: A predictive model K Dick, A Nordstrom arXiv preprint arXiv:1607.08656, 2016 | 3 | 2016 |
| Machine learning pedagogy to support the research community K Dick, DG Kyrollos, JR Green Proceedings of the 2021 ACM SIGPLAN International Symposium on SPLASH-E, 43-48, 2021 | 2 | 2021 |
| To Keystone or Not to Keystone, that is the Correction K Dick, JB Tanner, JR Green 2021 18th Conference on Robots and Vision (CRV), 142-150, 2021 | 2 | 2021 |
James R GreenProfessor, Systems and Computer Engineering, Carleton UniversityVerified email at sce.carleton.ca
