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Amir Hossein Yazdavar, PhD
Amir Hossein Yazdavar, PhD
Lead AI Engineer Optum, Former Visiting Research Scientist, Cornell University
Verified email at med.cornell.edu - Homepage
Title
Cited by
Cited by
Year
Feature engineering for machine learning and data analytics
G Dong, H Liu
CRC press, 2018
3352018
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
189*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
1782016
Challenges of sentiment analysis for dynamic events
M Ebrahimi, AH Yazdavar, A Sheth
IEEE Intelligent Systems 32 (5), 70-75, 2017
1582017
Multimodal mental health analysis in social media
AH Yazdavar, MS Mahdavinejad, G Bajaj, W Romine, A Sheth, ...
Plos one 15 (4), e0226248, 2020
982020
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
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
282018
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
262014
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
252018
Relatedness-based multi-entity summarization
K Gunaratna, AH Yazdavar, K Thirunarayan, A Sheth, G Cheng
IJCAI: proceedings of the conference 2017, 1060, 2017
252017
Fuzzy based implicit sentiment analysis on quantitative sentences
AH Yazdavar, M Ebrahimi, N Salim
arXiv preprint arXiv:1701.00798, 2017
232017
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
222016
Analyzing clinical depressive symptoms in twitter
AH Yazdavar, HS Al-Olimat, T Banerjee, K Thirunarayan, AP Sheth
102016
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
62012
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
52019
Identifying depressive disorder in the twitter population
G Bajaj, AH Yazdavar, K Thirunarayan, A Sheth
12017
Journal of Soft Computing and Decision Support Systems
H Darestani, WKW Ismail, LH Heng
Journal of Soft Computing and Decision 3 (5), 2016
12016
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
12016
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
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