Meysam Asgari-Chenaghlu

According to our database, Meysam Asgari-Chenaghlu authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Enhancing Language Learning through Technology: Introducing a New English-Azerbaijani (Arabic Script) Parallel Corpus.

Jalil Nourmohammadi-Khiarak, Ammar Ahmadi, Taher Ak-bari Saeed, Meysam Asgari-Chenaghlu, Togrul Atabay, Mohammad Reza Baghban Karimi, Ismail Ceferli, Farzad Hasanvand, Seyed Mahboub Mousavi, Morteza Noshad

CoRR, 2024

Large Language Models: A Survey.

Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao

CoRR, 2024

2023

A model to measure the spread power of rumors.

Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Taymaz Akan, Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Ali-Reza Feizi-Derakhshi, Mehrdad Ranjbar-Khadivi, Elnaz Zafarani-Moattar, Mohammad Ali Balafar

J. Ambient Intell. Humaniz. Comput., October, 2023

Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach.

Matej Vitek, Abhijit Das, Diego Rafael Lucio, Luiz A. Zanlorensi, David Menotti, Jalil Nourmohammadi-Khiarak, Mohsen Akbari Shahpar, Meysam Asgari-Chenaghlu, Farhang Jaryani, Juan E. Tapia, Andres Valenzuela, Caiyong Wang, Yunlong Wang, Zhaofeng He, Zhenan Sun, Fadi Boutros, Naser Damer, Jonas Henry Grebe, Arjan Kuijper, Kiran B. Raja, Gourav Gupta, Georgios Zampoukis, Lazaros T. Tsochatzidis, Ioannis Pratikakis, S. V. Aruna Kumar, B. S. Harish, Umapada Pal, Peter Peer, Vitomir Struc

IEEE Trans. Inf. Forensics Secur., 2023

ConvGenVisMo: Evaluation of Conversational Generative Vision Models.

Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Nabiha Asghar, Philipp Schaer, Dietlind Zühlke

CoRR, 2023

BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter.

Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Yang Li, Erik Cambria

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Text-based automatic personality prediction: a bibliographic review.

Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar, Zoleikha Jahanbakhsh-Nagadeh

J. Comput. Soc. Sci., November, 2022

Automatic personality prediction: an enhanced method using ensemble modeling.

Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad Ali Balafar, Meysam Asgari-Chenaghlu, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Taymaz Akan

Neural Comput. Appl., 2022

CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features.

Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, M. A. Balafar, Cina Motamed

Neural Comput. Appl., 2022

Deep Learning-based Text Classification: A Comprehensive Review.

Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao

ACM Comput. Surv., 2022

2021

Cy: Chaotic yolo for user intended image encryption and sharing in social media.

Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Ali-Reza Feizi-Derakhshi, Majid Ramezani, Zoleikha Jahanbakhsh-Nagadeh, Taymaz Rahkar-Farshi, Elnaz Zafarani-Moattar, Mehrdad Ranjbar-Khadivi, Mohammad Ali Balafar

Inf. Sci., 2021

The state-of-the-art in text-based automatic personality prediction.

Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar, Zoleikha Jahanbakhsh-Nagadeh

CoRR, 2021

Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding.

Narjes Nikzad-Khasmakhi, Mohammad-Reza Feizi-Derakhshi, Meysam Asgari-Chenaghlu, Mohammad Ali Balafar, Ali-Reza Feizi-Derakhshi, Taymaz Rahkar-Farshi, Majid Ramezani, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Mehrdad Ranjbar-Khadivi

CoRR, 2021

BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter.

Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Erik Cambria

CoRR, 2021

Topic Detection and Tracking Techniques on Twitter: A Systematic Review.

Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Mohammad Ali Balafar, Cina Motamed

Complex., 2021

2020

ComStreamClust: A communicative text clustering approach to topic detection in streaming data.

Ali Najafi, Araz Gholipour-Shilabin, Rahim Dehkharghani, Ali Mohammadpur-Fard, Meysam Asgari-Chenaghlu

CoRR, 2020

Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder.

Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Shervin Minaee

CoRR, 2020

TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection.

Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Mohammad Ali Balafar, Cina Motamed

CoRR, 2020

Multimodal price prediction.

Aidin Zehtab-Salmasi, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Saeideh Nabipour

CoRR, 2020

Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling.

Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad Ali Balafar, Meysam Asgari-Chenaghlu, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Taymaz Rahkar-Farshi

CoRR, 2020

A Model to Measure the Spread Power of Rumors.

Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Taymaz Rahkar-Farshi, Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Ali-Reza Feizi-Derakhshi, Mehrdad Ranjbar-Khadivi, Elnaz Zafarani-Moattar, Mohammad Ali Balafar

CoRR, 2020

A multimodal deep learning approach for named entity recognition from social media.

Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Cina Motamed

CoRR, 2020

SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment.

Matej Vitek, Abhijit Das, Y. Pourcenoux, A. Missler, C. Paumier, Sumanta Das, Ishita De Ghosh, Diego Rafael Lucio, Luiz A. Zanlorensi, David Menotti, Fadi Boutros, Naser Damer, Jonas Henry Grebe, Arjan Kuijper, Junxing Hu, Yong He, Caiyong Wang, H. Liu, Yunlong Wang, Zhenan Sun, Dailé Osorio Roig, Christian Rathgeb, Christoph Busch, Juan E. Tapia, Andres Valenzuela, Georgios Zampoukis, Lazaros T. Tsochatzidis, Ioannis Pratikakis, S. Nathan, R. Suganya, Vineet Mehta, Abhinav Dhall, Kiran B. Raja, Gourav Gupta, Jalil Nourmohammadi-Khiarak, M. Akbari-Shahper, Farhang Jaryani, Meysam Asgari-Chenaghlu, R. Vyas, S. Dakshit, Peter Peer, Umapada Pal, Vitomir Struc

Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

2019

A novel image encryption algorithm based on polynomial combination of chaotic maps and dynamic function generation.

Meysam Asgari-Chenaghlu, Mohammad Ali Balafar, Mohammad-Reza Feizi-Derakhshi

Signal Process., 2019