| Privacy enhanced multimodal neural representations for emotion recognition M Jaiswal, EM Provost Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7985-7993, 2020 | 78 | 2020 |
| The truth and nothing but the truth: Multimodal analysis for deception detection M Jaiswal, S Tabibu, R Bajpai 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 60 | 2016 |
| The priori emotion dataset: Linking mood to emotion detected in-the-wild S Khorram, M Jaiswal, J Gideon, M McInnis, EM Provost arXiv preprint arXiv:1806.10658, 2018 | 55 | 2018 |
| Muse: a multimodal dataset of stressed emotion M Jaiswal, CP Bara Proceedings of the Twelfth Language Resources and Evaluation Conference, 2020 | 34 | 2020 |
| Muse-ing on the impact of utterance ordering on crowdsourced emotion annotations M Jaiswal, Z Aldeneh, CP Bara, Y Luo, M Burzo, R Mihalcea, EM Provost ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 18 | 2019 |
| Identifying mood episodes using dialogue features from clinical interviews Z Aldeneh, M Jaiswal, M Picheny, M McInnis, EM Provost arXiv preprint arXiv:1910.05115, 2019 | 15 | 2019 |
| Controlling for confounders in multimodal emotion classification via adversarial learning M Jaiswal, Z Aldeneh, E Mower Provost 2019 International conference on multimodal interaction, 174-184, 2019 | 14 | 2019 |
| Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition" In the Wild" M Jaiswal, E Mower Provost arXiv e-prints, arXiv: 2104.08806, 2021 | 9* | 2021 |
| Mind the gap: On the value of silence representations to lexical-based speech emotion recognition. M Perez, M Jaiswal, M Niu, C Gorrostieta, M Roddy, K Taylor, R Lotfian, ... INTERSPEECH, 156-160, 2022 | 6 | 2022 |
| Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation M Jaiswal arXiv preprint arXiv:2309.03238, 2023 | 3* | 2023 |
| “Hang In There:" Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses M Jaiswal, S Tabibu, E Cambria The Thirtieth International Flairs Conference, 2017 | 2 | 2017 |
| Lessons from the Trenches on Reproducible Evaluation of Language Models S Biderman, H Schoelkopf, L Sutawika, L Gao, J Tow, B Abbasi, AF Aji, ... arXiv preprint arXiv:2405.14782, 2024 | 1 | 2024 |
| Capturing Mismatch between Textual and Acoustic Emotion Expressions for Mood Identification in Bipolar Disorder M Niu, A Romana, M Jaiswal, M McInnis, EM Provost Interspeech, 1718-1722, 2023 | 1 | 2023 |
| The Curious Case of LLM Evaluations M Jaiswal https://mimansajaiswal.github.io/notes/case-of-llm-evals.html, 2023 | | 2023 |
| Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge M Jaiswal, EM Provost arXiv preprint arXiv:2104.08792, 2021 | | 2021 |
| The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection R Bajpai, S Tabibu, M Jaiswal | | 2019 |
Emily Mower ProvostProfessor of Computer Science, University of Michigan在 umich.edu 的电子邮件经过验证
