| Signal processing techniques for motor imagery brain computer interface: A review S Aggarwal, N Chugh Array 1, 100003, 2019 | 199 | 2019 |
| Review of machine learning techniques for EEG based brain computer interface S Aggarwal, N Chugh Archives of Computational Methods in Engineering 29 (5), 3001-3020, 2022 | 135 | 2022 |
| Neutrosophic classifier: An extension of fuzzy classifer AQ Ansari, R Biswas, S Aggarwal Applied soft computing 13 (1), 563-573, 2013 | 121 | 2013 |
| Proposal for applicability of neutrosophic set theory in medical AI AQ Ansari, R Biswas, S Aggarwal International Journal of Computer Applications 27 (5), 5-11, 2011 | 108 | 2011 |
| Neutrosophic modeling and control S Aggarwal, R Biswas, AQ Ansari 2010 International Conference on Computer and Communication Technology …, 2010 | 87 | 2010 |
| A computational approach to feature extraction for identification of suicidal ideation in tweets R Sawhney, P Manchanda, R Singh, S Aggarwal Proceedings of ACL 2018, Student Research Workshop, 91-98, 2018 | 82 | 2018 |
| Get it scored using autosas—an automated system for scoring short answers Y Kumar, S Aggarwal, D Mahata, RR Shah, P Kumaraguru, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 9662-9669, 2019 | 57 | 2019 |
| Hybrid model for medical diagnosis using Neutrosophic Cognitive Maps with Genetic Algorithms M Kumar, K Bhutani, S Aggarwal 2015 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-7, 2015 | 52 | 2015 |
| Predicting likelihood of psychological disorders in PlayerUnknown’s Battlegrounds (PUBG) players from Asian countries using supervised machine learning S Aggarwal, S Saluja, V Gambhir, S Gupta, SPS Satia Addictive behaviors 101, 106132, 2020 | 49 | 2020 |
| Hybrid model for data imputation: using fuzzy c means and multi layer perceptron S Azim, S Aggarwal 2014 IEEE international advance computing conference (IACC), 1281-1285, 2014 | 40 | 2014 |
| Extension to fuzzy logic representation: Moving towards neutrosophic logic-A new laboratory rat AQ Ansari, R Biswas, S Aggarwal 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013 | 37 | 2013 |
| Lstm based music generation with dataset preprocessing and reconstruction techniques S Agarwal, V Saxena, V Singal, S Aggarwal 2018 IEEE symposium series on computational intelligence (SSCI), 455-462, 2018 | 27 | 2018 |
| EEG based participant independent emotion classification using gradient boosting machines S Aggarwal, L Aggarwal, MS Rihal, S Aggarwal 2018 IEEE 8th International Advance Computing Conference (IACC), 266-271, 2018 | 22 | 2018 |
| Neutrosophication of fuzzy models AQ Ansari, R Biswas, S Aggarwal IEEE Workshop On Computational Intelligence: Theories, Applications and …, 2013 | 21 | 2013 |
| A preliminary investigation for assessing attention levels for massive online open courses learning environment using eeg signals: An experimental study S Aggarwal, M Lamba, K Verma, S Khuttan, H Gautam Human Behavior and emerging technologies 3 (5), 933-941, 2021 | 19 | 2021 |
| Assessing it projects success with extended fuzzy cognitive maps & neutrosophic cognitive maps in comparison to fuzzy cognitive maps K Bhutani, M Kumar, G Garg, S Aggarwal Neutrosophic Sets and Systems 12 (1), 9-19, 2016 | 19 | 2016 |
| Ethical implications of closed loop brain device: 10-year review S Aggarwal, N Chugh Minds and Machines 30 (1), 145-170, 2020 | 18 | 2020 |
| Stacked generalization with wrapper-based feature selection for human activity recognition A Bhavan, S Aggarwal 2018 IEEE symposium series on computational intelligence (SSCI), 1064-1068, 2018 | 16 | 2018 |
| Media bias detection and bias short term impact assessment S Aggarwal, T Sinha, Y Kukreti, S Shikhar Array 6, 100025, 2020 | 15 | 2020 |
| DL-GSA: a deep learning metaheuristic approach to missing data imputation A Garg, D Naryani, G Aggarwal, S Aggarwal Advances in Swarm Intelligence: 9th International Conference, ICSI 2018 …, 2018 | 13 | 2018 |
