Javad Rahimipour Anaraki
Javad Rahimipour Anaraki
Postdoctoral Fellow, University of Toronto
Verified email at - Homepage
Cited by
Cited by
Efficient Classification System Based on Fuzzy-Rough Feature Selection and Multitree Genetic Programming for Intension Pattern Recognition using Brain Signal
JH Lee, JR Anaraki, CW Ahn, J An
Expert Systems with Applications, 2014
Balanced Fuzzy Particle Swarm Optimization
A Robati, GA Barani, H Nezam Abadi Pour, MJ Fadaee, ...
Applied Mathematical Modelling 36 (5), 2169-2177, 2012
Improving Fuzzy-Rough QuickReduct For Feature Selection
JR Anaraki, M Eftekhari
19th Iranian Conference on Electrical Engineering (ICEE 2011), 1502-1506, 2011
Rough Set Based Feature Selection: A Review
JR Anaraki, M Eftekhari
5th Conference on Information and Knowledge Technology (IKT 2013), 301-306, 2013
A Feature Selection Based on Perturbation Theory
JR Anaraki, H Usefi
Expert Systems with Applications 127, 1-8, 2019
Novel Improvements on the Fuzzy-Rough QuickReduct Algorithm
JR Anaraki, M Eftekhari, CW Ahn
IEICE TRANSACTIONS on Information and Systems 98 (2), 453-456, 2015
A new fuzzy-rough hybrid merit to feature selection
JR Anaraki, S Samet, W Banzhaf, M Eftekhari
Transactions on Rough Sets XX, 1-23, 2016
A Novel Rough Set Based Dissimilarity Measure and Its Application in Multimodal Optimization
S Kamyab, M Eftekhari, JR Anaraki
16th CSI International Symposium on Artificial Intelligence and Signal …, 2012
A Fuzzy-Rough based Binary Shuffled Frog Leaping Algorithm for Feature Selection
JR Anaraki, S Samet, M Eftekhari, CW Ahn
arXiv preprint arXiv:1808.00068, 2018
Advancing Brain Computer Interface Applications for Severely Disabled Children Through a Multidisciplinary National Network: Summary of the Inaugural Pediatric BCI Canada Meeting
A Kinney-Lang, E. Kelly, D., Floreani E., Jadavji, Z., Rowley D., Zewdie, E ...
Frontiers in Human Neuroscience, 2020
A Comparative Study of Feature Selection Methods on Genomic Datasets
JR Anaraki, H Usefi
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019
SUFFUSE: Simultaneous Fuzzy-Rough Feature-Sample Selection
JR Anaraki, S Samet, JH Lee, CW Ahn
Journal of Advances in Information Technology 6 (3), 103-110, 2015
Fuzzy-Rough Sample Selection
JR Anaraki, CW Ahn
The 4th International Workshop on Computer Science and Engineering (WCSE …, 2014
Predicting lying, sitting, walking and running using Apple Watch and Fitbit data
D Fuller, JR Anaraki, B Simango, M Rayner, F Dorani, A Bozorgi, H Luan, ...
BMJ Open Sport & Exercise Medicine 7 (1), e001004, 2021
EmoconLite: Bridging the Gap Between Emotiv and Play for Children With Severe Disabilities
JR Anaraki, CA Rauh, J Leung, T Chau
arXiv preprint arXiv:2101.02768, 2021
A Deep Learning Approach to Tongue Detection for Pediatric Population
JR Anaraki, S Orlandi, T Chau
arXiv preprint arXiv:2009.02397, 2020
Privacy-preserving feature selection: A survey and proposing a new set of protocols
JR Anaraki, S Samet
arXiv preprint arXiv:2008.07664, 2020
Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets
JR Anaraki, J Moon, T Chau
arXiv preprint arXiv:2008.07660, 2020
Using machine learning methods to predict physical activity types with Apple Watch and Fitbit data using indirect calorimetry as the criterion.
D Fuller, JR Anaraki, B Simango, F Dorani, A Bozorgi, H Luan, F Basset
From Fuzzy-Rough to Crisp Feature Selection
JR Anaraki
Memorial University of Newfoundland, 2019
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