Amir Hossein Yazdavar
Amir Hossein Yazdavar
Ph.D Researcher at DaSe Lab, KSU, Visiting Research Scientist, Cornell Medicine, Cornell University
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Zitiert von
Zitiert von
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
Challenges of sentiment analysis for dynamic events
M Ebrahimi, AH Yazdavar, A Sheth
IEEE Intelligent Systems 32 (5), 70-75, 2017
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
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
Feature engineering for machine learning and data analytics
G Dong, H Liu
CRC Press, 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
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 35, 2017
Relatedness-based multi-entity summarization
K Gunaratna, AH Yazdavar, K Thirunarayan, A Sheth, G Cheng
IJCAI: proceedings of the conference 2017, 1060, 2017
Recognition of side effects as implicit-opinion words in drug reviews
M Ebrahimi, AH Yazdavar, N Salim, S Eltyeb
Online Information Review, 2016
Fuzzy based implicit sentiment analysis on quantitative sentences
AH Yazdavar, M Ebrahimi, N Salim
arXiv preprint arXiv:1701.00798, 2017
Analyzing clinical depressive symptoms in twitter
AH Yazdavar, HS Al-Olimat, T Banerjee, K Thirunarayan, AP Sheth
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, 0
Multimodal mental health analysis in social media
AH Yazdavar, MS Mahdavinejad, G Bajaj, W Romine, A Sheth, ...
Plos one 15 (4), e0226248, 2020
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
Controllable Optical Solitons in Optical Fiber System with Distributed Coefficients
IS Amiri, A Afroozeh, H Ahmad, F Abdullaev, J Garnier, P Absil, ...
Integrated Micro-Ring Photonics: Principles and Applications as Slow Light …, 2017
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
Identifying Depressive Disorder in the Twitter Population
G Bajaj, AH Yazdavar, K Thirunarayan, A Sheth
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
Measuring Gender-Based Violence Attitude on Twitter
G Bajaj, T Banerjee, AH Yazdavar, VL Shalin, A Sheth
Analyzing Depressive Symptoms in Twitter: Towards predicting depressive behavior through social media analysis
AH Yazdavar, H Al Olimat, T Banerjee, K Thirunarayan, J Pathak, ...
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