Javad R. Anaraki

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• 2024
  • Anaraki, J. R., Kolokolova, A., Chau, T. (2024). Personalized Classifier Selection for EEG-based Brain-Computer Interfaces, Computers, 13(7), 158 [Link]
• 2022
  • Bergsma, S. A., Zeyl, T., Anaraki, J. R., Guo, L. (2022). C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting. In Annual Conference on Neural Information Processing Systems [Link]
  • Khataeipour, S. J., Anaraki, J. R., Bozorgi, A., Rayner, M., Basset, F., Fuller, D. (2022). Predicting Lying, Sitting, and Walking at Different Intensities Using Smartphone Accelerometers at Three Different Wear Locations; Hands, Pants Pocket, Backpack. BMJ Open Sport & Exercise Medicine [Link]
• 2021
  • Fuller, D., Anaraki, J. R., Simango, B., Rayner, M., Dorani, F., Bozorgi, A., Luan, H., Basset, F. (2021). Predicting Lying, Sitting, Walking and Running Using Apple Watch and Fitbit Data. BMJ Open Sport & Exercise Medicine, 7(1), e001004 [Link][Code][Data]
  • Brondeel, R., Kestens, Y., Anaraki, J. R., Stanley, K., Thierry, B., Fuller, D. (2021). Converting Raw Accelerometer Data to Activity Counts Using Open Source Code in MATLAB, Python, and R – A Comparison to Actilife Activity Counts. Journal for the Measurement of Physical Behaviour [Link][Code]
  • Anaraki, J. R., Rauh, C. A., Leung, J., & Chau, T. (2021). EmoconLite: Bridging the Gap Between Emotiv and Play for Children With Severe Disabilities. arXiv preprint arXiv:2101.02768 [arXiv][App]
• 2020
  • Kinney-Lang, E., Kelly, D., Floreani, E.D., Jadavji, Z., Rowley, D., Zewdie, E.T., Anaraki, J. R., Bahari, H., Beckers, K., Castelane, K. and Crawford, L. (2020). Advancing Brain Computer Interface Applications for Severely Disabled Children Through a Multidisciplinary National Network: Summary of the Inaugural Pediatric BCI Canada Meeting. Frontiers in Human Neuroscience, 14, p.530. [Link]
  • Anaraki, J. R., Orlandi, S., & Chau, T. (2020). A Deep Learning Approach to Tongue Detection for Pediatric Population. arXiv preprint arXiv:2009.02397 [arXiv]
  • Anaraki, J. R., Moon, J., & Chau, T. (2020). Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets. arXiv preprint arXiv:2008.07660 [arXiv]
  • Anaraki, J. R., & Samet, S. (2020). Privacy-preserving Feature Selection: A Survey and Proposing a New Set of Protocols. arXiv preprint arXiv:2008.07664 [arXiv]
• 2019
  • Anaraki, J. R., Samet, S., Shehata, M., Aubrey-Bassler, K., Karami, E., Samet, S., Smith, A., Detecting Relative Changes in Circulating Blood Volume using Ultrasound and Simulation, 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems, Cordoba, Spain, 2019 [Link]
  • Anaraki, J. R., Usefi, H., A Comparative Study of Feature Selection Methods on Genomic Datasets, 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems, Cordoba, Spain, 2019 [Link]
  • Anaraki, J. R., Usefi, H. (2019). A Feature Selection Based on Perturbation Theory, Expert Systems with Applications, 127(13), (pp. 1-8) [Link][Code]
• 2018
  • Anaraki, J. R., Samet, S., Eftekhari, M., & Ahn, C. W. (2018). A Fuzzy-Rough based Binary Shuffled Frog Leaping Algorithm for Feature Selection. arXiv preprint arXiv:1808.00068 [Link]
  • Fuller, D., Dorani, F., Luan, H., Anaraki, J. R., Mohtasham, M. B., Predicting Sleep, Sedentary Behaviour, and Physical Activity From Commercially Available Wearable Devices Using Rotation Forest Models, 7th International Society for Physical Activity and Health Congress (ISPAH), London, UK, 2018 [Link][Code]
• 2016
  • Anaraki, J. R., Samet, S., Banzhaf, W., & Eftekhari, M. (2016). A New Fuzzy-Rough Hybrid Merit to Feature Selection. In Transactions on Rough Sets XX (pp. 1-23). Springer Berlin Heidelberg [Link][Code]
  • Anaraki, J. R., SadeghiBoroujerdi, A., Bozorgi, A., Samet, S., HearMe: An Automated Transcripts, Sign Language, and Keywords Generator, e-Health Annual Conference & Tradeshow, Vancouver, BC, 2016 [Link][Website]
• 2015
  • Anaraki, J. R., Samet, S., Lee, J. H., & Ahn, C. W. (2015). SUFFUSE: Simultaneous Fuzzy-Rough Feature-Sample Selection. Journal of Advances in Information Technology, 6(3), (pp. 103-110) [Link]
  • Anaraki, J. R., Eftekhari, M., & Ahn, C. W. (2015). Novel Improvements on the Fuzzy-Rough QuickReduct Algorithm. IEICE TRANSACTIONS on Information and Systems, 98(2), (pp. 453-456) [Link]
  • Lee, J. H., Anaraki, J. R., Ahn, C. W., & An, J. (2015). Efficient Classification System Based on Fuzzy-Rough Feature Selection and Multitree Genetic Programming for Intension Pattern Recognition Using Brain Signal. Expert Systems with Applications, 42(3), (pp. 1644-1651) [Link]
• 2014
  • Anaraki, J. R., Ahn, C. W., Fuzzy-Rough Sample Selection, 4th International Workshop on Computer Science and Engineering (WCSE), Dubai, (pp. 22-29), 2014 [Link]
• 2013
  • Anaraki, J. R., & Eftekhari, M., Rough Set Based Feature Selection: A Review. In Information and Knowledge Technology (IKT), 2013 5th Conference on (pp. 301-306). IEEE [Link]
• 2012
  • Robati, A., Barani, G. A., Pour, H. N. A., Fadaee, M. J., & Anaraki, J. R. (2012). Balanced Fuzzy Particle Swarm Optimization. Applied Mathematical Modelling, 36(5), (pp. 2169-2177) [Link]
  • Kamyab, S., Eftekhari, M., & Anaraki, J. R. A Novel Rough Set Based Dissimilarity Measure and Its Application in Multimodal Optimization. In Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on (pp. 180-185). IEEE [Link]
• 2011
  • Anaraki, J. R., & Eftekhari, M. Improving Fuzzy-Rough Quick Reduct for Feature Selection. In 2011 19th Iranian Conference on Electrical Engineering (pp. 1-6). IEEE [Link][Code]
  • Anaraki, J. R., Nezam Abadi-pour, H. An Improved ACO Based Edge Detection, In 2011 19th Iranian Conference on Electrical Engineering (pp. 2173-2178). IEEE (in Persian) [Link]