| UR-FUNNY: A Multimodal Language Dataset for Understanding Humor MK Hasan, W Rahman, A Zadeh, J Zhong, MI Tanveer, LP Morency 2019 Conference on Empirical Methods in Natural Language Processing, 2019 | 159 | 2019 |
| Automated analysis and prediction of job interview performance I Naim, MI Tanveer, D Gildea, ME Hoque IEEE Transactions on Affective Computing 9 (2), 191-204, 2016 | 159 | 2016 |
| Automated prediction and analysis of job interview performance: The role of what you say and how you say it I Naim, MI Tanveer, D Gildea, ME Hoque 2015 11th IEEE international conference and workshops on automatic face and …, 2015 | 138 | 2015 |
| Rhema: A real-time in-situ intelligent interface to help people with public speaking MI Tanveer, E Lin, M Hoque Proceedings of the 20th international conference on intelligent user …, 2015 | 122 | 2015 |
| The effectiveness of pedagogical agents’ prompting and feedback in facilitating co-adapted learning with MetaTutor R Azevedo, RS Landis, R Feyzi-Behnagh, M Duffy, G Trevors, JM Harley, ... Intelligent Tutoring Systems: 11th International Conference, ITS 2012 …, 2012 | 89 | 2012 |
| Automanner: An automated interface for making public speakers aware of their mannerisms MI Tanveer, R Zhao, K Chen, Z Tiet, ME Hoque Proceedings of the 21st international conference on intelligent user …, 2016 | 62 | 2016 |
| Awe the audience: How the narrative trajectories affect audience perception in public speaking MI Tanveer, S Samrose, RA Baten, ME Hoque Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 38 | 2018 |
| Do you see what I see? Designing a sensory substitution device to access non-verbal modes of communication MI Tanveer, ASMI Anam, M Yeasin, M Khan Proceedings of the 15th International ACM SIGACCESS Conference on Computers …, 2013 | 24 | 2013 |
| Unsupervised Extraction of Human-Interpretable Nonverbal Behavioral Cues in a Public Speaking Scenario MI Tanveer, J Liu, ME Hoque ACM Multimedia, 2015 | 21 | 2015 |
| FEPS: a sensory substitution system for the blind to perceive facial expressions MI Tanveer, ASMI Anam, AKMM Rahman, S Ghosh, M Yeasin Proceedings of the 14th international ACM SIGACCESS conference on Computers …, 2012 | 18 | 2012 |
| A google glass app to help the blind in small talk MI Tanveer, ME Hoque Proceedings of the 16th international ACM SIGACCESS conference on Computers …, 2014 | 17 | 2014 |
| FairyTED: A Fair Rating Predictor for TED Talk Data R Acharyya, S Das, A Chattoraj, MI Tanveer Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 338-345, 2020 | 15 | 2020 |
| IMAPS: A smart phone based real-time framework for prediction of affect in natural dyadic conversation AKMM Rahman, MI Tanveer, AI Anam, M Yeasin 2012 Visual Communications and Image Processing, 1-6, 2012 | 10 | 2012 |
| A spatio-temporal probabilistic framework for dividing and predicting facial action units A Rahman, M Tanveer, M Yeasin Affective Computing and Intelligent Interaction, 598-607, 2011 | 10 | 2011 |
| TREC 2021 podcasts track overview J Karlgren, R Jones, B Carterette, A Clifton, M Eskevich, GJF Jones, ... NIST Special Publication 335, 2021 | 9 | 2021 |
| Visualization interface for voice input F Ture, MI Tanveer US Patent App. 16/041,405, 2020 | 9 | 2020 |
| Spotify at the TREC 2020 Podcasts Track: Segment Retrieval. Y Yu, J Karlgren, A Clifton, MI Tanveer, R Jones, HR Bonab TREC, 2020 | 7 | 2020 |
| Unsupervised Speaker Diarization that is Agnostic to Language, Overlap-Aware, and Tuning Free MI Tanveer, D Casabuena, J Karlgren, R Jones Proc. Interspeech 2022, 1481--1485, 2022 | 5 | 2022 |
| Persistence Homology of TEDtalk: Do Sentence Embeddings Have a Topological Shape? S Das, SA Haque, MI Tanveer arXiv preprint arXiv:2103.14131, 2021 | 4 | 2021 |
| A causality-guided prediction of the ted talk ratings from the speech-transcripts using neural networks MI Tanveer, MK Hasan, D Gildea, ME Hoque arXiv preprint arXiv:1905.08392, 2019 | 3 | 2019 |
Ehsan HoqueProfessor of Computer Science, University of Rochester在 cs.rochester.edu 的电子邮件经过验证
