The Truth and Nothing But the Truth: Multimodal Analysis for Deception Detection. - Mimansa Jaiswal; Sairam Tabibu; Rajiv Bajpai (ICDM Workshops, 2016)

"Hang In There: " Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses. - Mimansa Jaiswal; Sairam Tabibu; Erik Cambria (FLAIRS, 2017)

The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild. - Soheil Khorram; Mimansa Jaiswal; John Gideon; Melvin G. McInnis; Emily Mower Provost (INTERSPEECH, 2018)

Muse-ing on the Impact of Utterance Ordering on Crowdsourced Emotion Annotations. - Mimansa Jaiswal; Zakaria Aldeneh; Cristian-Paul Bara; Yuanhang Luo; Mihai Burzo; Rada Mihalcea; Emily Mower Provost (ICASSP, 2019)

Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning. - Mimansa Jaiswal; Zakaria Aldeneh; Emily Mower Provost (ICMI, 2019)

Identifying Mood Episodes Using Dialogue Features from Clinical Interviews. - Zakaria Aldeneh; Mimansa Jaiswal; Michael Picheny; Melvin G. McInnis; Emily Mower Provost (INTERSPEECH, 2019)

Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns. - Mimansa Jaiswal (AAAI, 2020)

Privacy Enhanced Multimodal Neural Representations for Emotion Recognition. - Mimansa Jaiswal; Emily Mower Provost (AAAI, 2020)

MuSE: a Multimodal Dataset of Stressed Emotion. - Mimansa Jaiswal; Cristian-Paul Bara; Yuanhang Luo; Mihai Burzo; Rada Mihalcea; Emily Mower Provost (LREC, 2020)

Why Should I Trust a Model is Private? Using Shifts in Model Explanation for Evaluating Privacy-Preserving Emotion Recognition Model. - Mimansa Jaiswal; Emily Mower Provost (CoRR, 2021)

Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition "In the Wild". - Mimansa Jaiswal; Emily Mower Provost (CoRR, 2021)

Mind the gap: On the value of silence representations to lexical-based speech emotion recognition. - Matthew Perez; Mimansa Jaiswal; Minxue Niu; Cristina Gorrostieta; Matthew Roddy; Kye Taylor; Reza Lotfian; John Kane; Emily Mower Provost (INTERSPEECH, 2022)

Capturing Mismatch between Textual and Acoustic Emotion Expressions for Mood Identification in Bipolar Disorder. - Minxue Niu; Amrit Romana; Mimansa Jaiswal; Melvin G. McInnis; Emily Mower Provost (INTERSPEECH, 2023)

Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation. - Mimansa Jaiswal (CoRR, 2023)

Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation - Mimansa Jaiswal (2023)

From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs. - Minxue Niu; Mimansa Jaiswal; Emily Mower Provost (INTERSPEECH, 2024)

Lessons from the Trenches on Reproducible Evaluation of Language Models. - Stella Biderman; Hailey Schoelkopf; Lintang Sutawika; Leo Gao; Jonathan Tow; Baber Abbasi; Alham Fikri Aji; Pawan Sasanka Ammanamanchi; Sidney Black; Jordan Clive; Anthony DiPofi; Julen Etxaniz; et al. (CoRR, 2024)

The Future of Open Human Feedback. - Shachar Don-Yehiya; Ben Burtenshaw; Ramón Fernandez Astudillo; Cailean Osborne; Mimansa Jaiswal; Tzu-Sheng Kuo; Wenting Zhao; Idan Shenfeld; Andi Peng; Mikhail Yurochkin; Atoosa Kasirzadeh; Yangsibo Huang; et al. (CoRR, 2024)