| Feature engineering for machine learning and data analytics G Dong, H Liu CRC press, 2018 | 401 | 2018 |
| Semi-supervised approach to monitoring clinical depressive symptoms in social media AH Yazdavar, HS Al-Olimat, M Ebrahimi, G Bajaj, T Banerjee, ... Proceedings of the 2017 IEEE/ACM international conference on advances in …, 2017 | 206* | 2017 |
| Rock strength estimation: a PSO-based BP approach ET Mohamad, DJ Armaghani, E Momeni, AH Yazdavar, M Ebrahimi Neural Computing and Applications, 1-12, 2016 | 193 | 2016 |
| Challenges of sentiment analysis for dynamic events M Ebrahimi, AH Yazdavar, A Sheth IEEE Intelligent Systems 32 (5), 70-75, 2017 | 169 | 2017 |
| Multimodal mental health analysis in social media AH Yazdavar, MS Mahdavinejad, G Bajaj, W Romine, A Sheth, ... Plos one 15 (4), e0226248, 2020 | 119 | 2020 |
| Transmission of data with orthogonal frequency division multiplexing technique for communication networks using GHz frequency band soliton carrier IS Amiri, M Ebrahimi, AH Yazdavar, S Ghorbani, SE Alavi, SM Idrus, J Ali IET Communications 8 (8), 1364-1373, 2014 | 57* | 2014 |
| Mental health analysis via social media data AH Yazdavar, MS Mahdavinejad, G Bajaj, K Thirunarayan, J Pathak, ... 2018 IEEE International Conference on Healthcare Informatics (ICHI), 459-460, 2018 | 28 | 2018 |
| Feature engineering for Twitter-based applications S Wijeratne, A Sheth, S Bhatt, L Balasuriya, HS Al-Olimat, M Gaur, ... Feature Engineering for Machine Learning and Data Analytics, 359-393, 2018 | 28 | 2018 |
| Analytical modeling and simulation of I–V characteristics in carbon nanotube based gas sensors using ANN and SVR methods E Akbari, Z Buntat, A Enzevaee, M Ebrahimi, AH Yazdavar, R Yusof Chemometrics and Intelligent Laboratory Systems 137, 173-180, 2014 | 26 | 2014 |
| Relatedness-based multi-entity summarization K Gunaratna, AH Yazdavar, K Thirunarayan, A Sheth, G Cheng IJCAI: proceedings of the conference 2017, 1060, 2017 | 25 | 2017 |
| Recognition of side effects as implicit-opinion words in drug reviews M Ebrahimi, AH Yazdavar, N Salim, S Eltyeb Online Information Review 40 (7), 1018-1032, 2016 | 24 | 2016 |
| Fuzzy based implicit sentiment analysis on quantitative sentences AH Yazdavar, M Ebrahimi, N Salim arXiv preprint arXiv:1701.00798, 2017 | 23 | 2017 |
| Analyzing clinical depressive symptoms in twitter AH Yazdavar, HS Al-Olimat, T Banerjee, K Thirunarayan, AP Sheth | 10 | 2016 |
| Identifying pragmatic functions in social media indicative of gender-based violence beliefs T Banerjee, AH Yazdavar, A Hampton, H Purohit, VL Shalin, AP Sheth Manuscript submitted for publication, 2012 | 6 | 2012 |
| Fusing visual, textual and connectivity clues for studying mental health AH Yazdavar, MS Mahdavinejad, G Bajaj, W Romine, A Monadjemi, ... arXiv preprint arXiv:1902.06843, 2019 | 5 | 2019 |
| Identifying depressive disorder in the twitter population G Bajaj, AH Yazdavar, K Thirunarayan, A Sheth | 1 | 2017 |
| Journal of Soft Computing and Decision Support Systems H Darestani, WKW Ismail, LH Heng Journal of Soft Computing and Decision 3 (5), 2016 | 1 | 2016 |
| Research Article Drug Side Effect Detection as Implicit Opinion from Medical Reviews M Ebrahimi, AH Yazdavar, NB Salim, S Noekhah, DL Paris Research Journal of Applied Sciences, Engineering and Technology 12 (11 …, 2016 | 1 | 2016 |
| Towards employing social media for studying mental health AH Yazdavar Kansas State University, 2021 | | 2021 |
| Measuring Gender-Based Violence Attitude on Twitter G Bajaj, T Banerjee, AH Yazdavar, VL Shalin, A Sheth | | 2017 |
Monireh EbrahimiPhD, AI Engineer @ MetaVerified email at ksu.edu
