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)

SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment. - Matej Vitek; Abhijit Das 001; Yann Pourcenoux; Alexandre Missler; C. Paumier; Sumanta Das; Ishita De Ghosh; Diego Rafael Lucio; Luiz Antonio Zanlorensi; David Menotti; Fadi Boutros; Naser Damer; et al. (IJCB, 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)

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)

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)

Multimodal price prediction. - Aidin Zehtab-Salmasi; Ali-Reza Feizi-Derakhshi; Narjes Nikzad-Khasmakhi; Meysam Asgari-Chenaghlu; Saeideh Nabipour (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)

Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder. - Meysam Asgari-Chenaghlu; Narjes Nikzad-Khasmakhi; Shervin Minaee (CoRR, 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)

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)

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)

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)

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)

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)

Deep Learning-based Text Classification: A Comprehensive Review. - Shervin Minaee; Nal Kalchbrenner; Erik Cambria; Narjes Nikzad; Meysam Chenaghlu; Jianfeng Gao 001 (ACM Comput. Surv., 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)

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)

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., 2022)

BLM-17m: A Large-Scale Dataset for Black Lives Matter Topic Detection on Twitter. - Hasan Kemik; Nusret Özates; Meysam Asgari-Chenaghlu; Yang Li 055; Erik Cambria (ICDM (Workshops), 2023)

ConvGenVisMo: Evaluation of Conversational Generative Vision Models. - Narjes Nikzad-Khasmakhi; Meysam Asgari-Chenaghlu; Nabiha Asghar; Philipp Schaer; Dietlind Zühlke (CoRR, 2023)

Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach. - Matej Vitek; Abhijit Das 001; Diego Rafael Lucio; Luiz Antonio Zanlorensi; David Menotti; Jalil Nourmohammadi-Khiarak; Mohsen Akbari Shahpar; Meysam Asgari-Chenaghlu; Farhang Jaryani; Juan E. Tapia; Andres Valenzuela; Caiyong Wang; et al. (IEEE Trans. Inf. Forensics Secur., 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., 2023)

Large Language Models: A Survey. - Shervin Minaee; Tomás Mikolov; Narjes Nikzad; Meysam Chenaghlu; Richard Socher; Xavier Amatriain; Jianfeng Gao 001 (CoRR, 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)

Fact vs. Fiction: Are the Reportedly "Magical" LLM-Based Recommenders Reproducible? - Shirin Tahmasebi; Narjes Nikzad; Amir Hossein Payberah; Meysam Asgari-Chenaghlu; Mihhail Matskin (ECIR (4), 2025)