Javad R. Anaraki
Javad R. Anaraki
Sr. ML Researcher at Huawei
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
Rough Set Based Feature Selection: A Review
JR Anaraki, M Eftekhari
5th Conference on Information and Knowledge Technology (IKT 2013), 301-306, 2013
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
Balanced Fuzzy Particle Swarm Optimization
A Robati, GA Barani, H Nezam Abadi Pour, MJ Fadaee, ...
Applied Mathematical Modelling 36 (5), 2169-2177, 2012
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
Improving Fuzzy-Rough QuickReduct For Feature Selection
JR Anaraki, M Eftekhari
19th Iranian Conference on Electrical Engineering (ICEE 2011), 1502-1506, 2011
A Feature Selection Based on Perturbation Theory
JR Anaraki, H Usefi
Expert Systems with Applications 127, 1-8, 2019
Converting raw accelerometer data to activity counts using open-source code: Implementing a MATLAB code in Python and R, and comparing the results to ActiLife
R Brondeel, Y Kestens, JR Anaraki, K Stanley, B Thierry, D Fuller
Journal for the Measurement of Physical Behaviour 4 (3), 205-211, 2021
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
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting
S Bergsma, T Zeyl, JR Anaraki, L Guo
Advances in Neural Information Processing Systems, 2022
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
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
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
Predicting lying, sitting and walking at different intensities using smartphone accelerometers at three different wear locations: hands, pant pockets, backpack
SJ Khataeipour, JR Anaraki, A Bozorgi, M Rayner, FA Basset, D Fuller
BMJ Open Sport & Exercise Medicine 8, 1-8, 2022
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
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
Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets
JR Anaraki, J Moon, T Chau
arXiv preprint arXiv:2008.07660, 2020
A Fuzzy-Rough Feature Selection Based on Binary Shuffled Frog Leaping Algorithm
JR Anaraki, S Samet, M Eftekhari, C Wook Ahn
International Journal of Computer and Information Engineering 12 (9), 722-729, 2018
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 Deep Learning Approach to Tongue Detection for Pediatric Population
JR Anaraki, S Orlandi, T Chau
arXiv preprint arXiv:2009.02397, 2020
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