Reinforcement learning based recommender systems: A survey MM Afsar, T Crump, B Far ACM Computing Surveys 55 (7), 1-38, 2022 | 344 | 2022 |
Supervised machine learning algorithms for credit card fraudulent transaction detection: a comparative study S Dhankhad, E Mohammed, B Far 2018 IEEE international conference on information reuse and integration (IRI …, 2018 | 203 | 2018 |
Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends EA Mohammed, BH Far, C Naugler BioData mining 7, 1-23, 2014 | 190 | 2014 |
A model-based approach for testing the performance of web applications M Shams, D Krishnamurthy, B Far Proceedings of the 3rd international workshop on Software quality assurance …, 2006 | 119 | 2006 |
Reinforcement learning in urban network traffic signal control: A systematic literature review M Noaeen, A Naik, L Goodman, J Crebo, T Abrar, ZSH Abad, ALC Bazzan, ... Expert Systems with Applications 199, 116830, 2022 | 100 | 2022 |
Emerging business intelligence framework for a clinical laboratory through big data analytics EA Mohammed, C Naugler, BH Far Emerging trends in computational biology, bioinformatics, and systems …, 2015 | 98 | 2015 |
An efficient technique for white blood cells nuclei automatic segmentation M Mohamed, B Far, A Guaily 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012 | 98 | 2012 |
A methodology for the selection of requirements engineering techniques L Jiang, A Eberlein, BH Far, M Mousavi Software & Systems Modeling 7, 303-328, 2008 | 89 | 2008 |
Natural language requirements analysis and class model generation using UCDA D Liu, K Subramaniam, A Eberlein, BH Far Innovations in Applied Artificial Intelligence: 17th International …, 2004 | 84 | 2004 |
Automating transition from use-cases to class model D Liu, K Subramaniam, BH Far, A Eberlein CCECE 2003-Canadian Conference on Electrical and Computer Engineering …, 2003 | 84 | 2003 |
Chronic lymphocytic leukemia cell segmentation from microscopic blood images using watershed algorithm and optimal thresholding EA Mohammed, MMA Mohamed, C Naugler, BH Far 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering …, 2013 | 77 | 2013 |
An ensemble learning approach to digital corona virus preliminary screening from cough sounds EA Mohammed, M Keyhani, A Sanati-Nezhad, SH Hejazi, BH Far Scientific Reports 11 (1), 15404, 2021 | 71 | 2021 |
Functional reasoning theories: problems and perspectives BH Far, AH Elamy AI EDAM 19 (2), 75-88, 2005 | 69 | 2005 |
Peripheral blood smear image analysis: A comprehensive review EA Mohammed, MMA Mohamed, BH Far, C Naugler Journal of pathology informatics 5 (1), 9, 2014 | 67 | 2014 |
A protocol for multi-agent negotiation in a group-choice decision making process T Wanyama, BH Far Journal of Network and Computer Applications 30 (3), 1173-1195, 2007 | 67 | 2007 |
Vehicle Trajectory Prediction with Gaussian Process Regression in Connected Vehicle Environment SA Goli, BH Far, AO Fapojuwo 2018 IEEE Intelligent Vehicles Symposium (IV), 550-555, 2018 | 65 | 2018 |
Combining requirements engineering techniques-theory and case study L Jiang, A Eberlein, BH Far 12th IEEE International Conference and Workshops on the Engineering of …, 2005 | 64 | 2005 |
Dynamic cloud resource allocation considering demand uncertainty S Mireslami, L Rakai, M Wang, BH Far IEEE Transactions on Cloud Computing 9 (3), 981-994, 2019 | 63 | 2019 |
Simultaneous cost and QoS optimization for cloud resource allocation S Mireslami, L Rakai, BH Far, M Wang IEEE Transactions on Network and Service Management 14 (3), 676-689, 2017 | 51 | 2017 |
Ontology-guided learning to improve communication between groups of agents M Afsharchi, BH Far, J Denzinger Proceedings of the fifth international joint conference on Autonomous agents …, 2006 | 50 | 2006 |