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ORCIDMeysam Asgari-Chenaghlu
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2020 – today
- 2024
[i14]Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao:
Large Language Models: A Survey. CoRR abs/2402.06196 (2024)- [i13]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:
Enhancing Language Learning through Technology: Introducing a New English-Azerbaijani (Arabic Script) Parallel Corpus. CoRR abs/2407.05189 (2024) - 2023
- [j9]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:
A model to measure the spread power of rumors. J. Ambient Intell. Humaniz. Comput. 14(10): 13787-13811 (2023) - [j8]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:
Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach. IEEE Trans. Inf. Forensics Secur. 18: 190-205 (2023) - [c2]Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Yang Li, Erik Cambria:
BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter. ICDM (Workshops) 2023: 736-743 - [i12]Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Nabiha Asghar, Philipp Schaer, Dietlind Zühlke:
ConvGenVisMo: Evaluation of Conversational Generative Vision Models. CoRR abs/2305.17784 (2023) - 2022
- [j7]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning-based Text Classification: A Comprehensive Review. ACM Comput. Surv. 54(3): 62:1-62:40 (2022) - [j6]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:
Text-based automatic personality prediction: a bibliographic review. J. Comput. Soc. Sci. 5(2): 1555-1593 (2022) - [j5]Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, M. A. Balafar, Cina Motamed:
CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features. Neural Comput. Appl. 34(3): 1905-1922 (2022) - [j4]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:
Automatic personality prediction: an enhanced method using ensemble modeling. Neural Comput. Appl. 34(21): 18369-18389 (2022) - 2021
- [j3]Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Mohammad Ali Balafar, Cina Motamed:
Topic Detection and Tracking Techniques on Twitter: A Systematic Review. Complex. 2021: 8833084:1-8833084:15 (2021) - [j2]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:
Cy: Chaotic yolo for user intended image encryption and sharing in social media. Inf. Sci. 542: 212-227 (2021) - [i11]Hasan Kemik, Nusret Özates, Meysam Asgari-Chenaghlu, Erik Cambria:
BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter. CoRR abs/2105.01331 (2021) - [i10]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:
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding. CoRR abs/2106.04939 (2021) - [i9]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:
The state-of-the-art in text-based automatic personality prediction. CoRR abs/2110.01186 (2021) - 2020
- [c1]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, J. Hu, Y. 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:
SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment. IJCB 2020: 1-10 - [i8]Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Cina Motamed:
A multimodal deep learning approach for named entity recognition from social media. CoRR abs/2001.06888 (2020) - [i7]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:
A Model to Measure the Spread Power of Rumors. CoRR abs/2002.07563 (2020) - [i6]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning Based Text Classification: A Comprehensive Review. CoRR abs/2004.03705 (2020) - [i5]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:
Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling. CoRR abs/2007.04571 (2020) - [i4]Aidin Zehtab-Salmasi, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Saeideh Nabipour:
Multimodal price prediction. CoRR abs/2007.05056 (2020) - [i3]Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Leili Farzinvash, Mohammad Ali Balafar, Cina Motamed:
TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection. CoRR abs/2008.06877 (2020) - [i2]Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Shervin Minaee:
Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder. CoRR abs/2009.03947 (2020) - [i1]Ali Najafi, Araz Gholipour-Shilabin, Rahim Dehkharghani, Ali Mohammadpur-Fard, Meysam Asgari-Chenaghlu:
ComStreamClust: A communicative text clustering approach to topic detection in streaming data. CoRR abs/2010.05349 (2020)
2010 – 2019
- 2019
- [j1]Meysam Asgari-Chenaghlu, Mohammad Ali Balafar, Mohammad-Reza Feizi-Derakhshi:
A novel image encryption algorithm based on polynomial combination of chaotic maps and dynamic function generation. Signal Process. 157: 1-13 (2019)
Coauthor Index
aka: Narjes Nikzad
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last updated on 2024-08-13 20:48 CEST by the dblp team
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