Deep learning--based text classification: a comprehensive review S Minaee, N Kalchbrenner, E Cambria, N Nikzad, M Chenaghlu, J Gao ACM computing surveys (CSUR) 54 (3), 1-40, 2021 | 1560 | 2021 |
A novel image encryption algorithm based on polynomial combination of chaotic maps and dynamic function generation M Asgari-Chenaghlu, MA Balafar, MR Feizi-Derakhshi Signal Processing 157, 1-13, 2019 | 126 | 2019 |
A novel keyed parallel hashing scheme based on a new chaotic system MA Chenaghlu, S Jamali, NN Khasmakhi Chaos, Solitons & Fractals 87, 216-225, 2016 | 65 | 2016 |
Large language models: A survey S Minaee, T Mikolov, N Nikzad, M Chenaghlu, R Socher, X Amatriain, ... arXiv preprint arXiv:2402.06196, 2024 | 59 | 2024 |
CWI: A multimodal deep learning approach for named entity recognition from social media using character, word and image features M Asgari-Chenaghlu, MR Feizi-Derakhshi, L Farzinvash, MA Balafar, ... Neural Computing and Applications, 1-18, 2022 | 38 | 2022 |
SSBC 2020: Sclera segmentation benchmarking competition in the mobile environment M Vitek, A Das, Y Pourcenoux, A Missler, C Paumier, S Das, I De Ghosh, ... 2020 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2020 | 35 | 2020 |
Cy: Chaotic yolo for user intended image encryption and sharing in social media M Asgari-Chenaghlu, MR Feizi-Derakhshi, N Nikzad-Khasmakhi, ... Information Sciences 542, 212-227, 2021 | 34 | 2021 |
TopicBERT: A cognitive approach for topic detection from multimodal post stream using BERT and memory–graph M Asgari-Chenaghlu, MR Feizi-Derakhshi, MA Balafar, C Motamed Chaos, Solitons & Fractals 151, 111274, 2021 | 32* | 2021 |
Topic detection and tracking techniques on Twitter: a systematic review M Asgari-Chenaghlu, MR Feizi-Derakhshi, L Farzinvash, MA Balafar, ... Complexity 2021 (1), 8833084, 2021 | 30 | 2021 |
Covid-transformer: Detecting trending topics on twitter using universal sentence encoder M Asgari-Chenaghlu, N Nikzad-Khasmakhi, S Minaee | 29* | 2020 |
Phraseformer: Multimodal key-phrase extraction using transformer and graph embedding N Nikzad-Khasmakhi, MR Feizi-Derakhshi, M Asgari-Chenaghlu, ... arXiv preprint arXiv:2106.04939, 2021 | 27 | 2021 |
Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques S Yıldırım, M Asgari-Chenaghlu Packt Publishing Ltd, 2021 | 25 | 2021 |
Text-based automatic personality prediction: A bibliographic review AR Feizi-Derakhshi, MR Feizi-Derakhshi, M Ramezani, ... Journal of Computational Social Science 5 (2), 1555-1593, 2022 | 17* | 2022 |
Automatic personality prediction: an enhanced method using ensemble modeling M Ramezani, MR Feizi-Derakhshi, MA Balafar, M Asgari-Chenaghlu, ... Neural Computing and Applications 34 (21), 18369-18389, 2022 | 15 | 2022 |
Exploring bias in sclera segmentation models: A group evaluation approach M Vitek, A Das, DR Lucio, LA Zanlorensi, D Menotti, JN Khiarak, ... IEEE Transactions on Information Forensics and Security 18, 190-205, 2022 | 13 | 2022 |
A model to measure the spread power of rumors Z Jahanbakhsh-Nagadeh, MR Feizi-Derakhshi, M Ramezani, T Akan, ... Journal of Ambient Intelligence and Humanized Computing 14 (10), 13787-13811, 2023 | 12* | 2023 |
Sepehr_RumTel01, Mendeley Data, V1 AR Feizi Derakhshi, MR Feizi Derakhshi, NKN Ranjbar Khadivi M, ... | 10 | 2019 |
Multimodal price prediction A Zehtab-Salmasi, AR Feizi-Derakhshi, N Nikzad-Khasmakhi, ... Annals of Data Science 10 (3), 619-635, 2023 | 8 | 2023 |
Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder. arXiv 2020 M Asgari-Chenaghlu, N Nikzad-Khasmakhi, S Minaee arXiv preprint arXiv:2009.03947, 2009 | 6 | 2009 |
ConvGenVisMo: Evaluation of Conversational Generative Vision Models NN Khasmakhi, M Asgari-Chenaghlu, N Asghar, P Schaer, D Zühlke ICML 2023 Workshop Artificial Intelligence and Human-Computer Interaction, 2023 | 2 | 2023 |