Mimansa Jaiswal

According to our database1, Mimansa Jaiswal authored at least 13 papers between 2016 and 2023.

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Bibliography

2023
Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation.
CoRR, 2023

2022
Mind the gap: On the value of silence representations to lexical-based speech emotion recognition.
Proceedings of the Interspeech 2022, 2022

2021
Best Practices for Noise-Based Augmentation to Improve the Performance of Emotion Recognition "In the Wild".
CoRR, 2021

Why Should I Trust a Model is Private? Using Shifts in Model Explanation for Evaluating Privacy-Preserving Emotion Recognition Model.
CoRR, 2021

2020
MuSE: a Multimodal Dataset of Stressed Emotion.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Privacy Enhanced Multimodal Neural Representations for Emotion Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Identifying Mood Episodes Using Dialogue Features from Clinical Interviews.
Proceedings of the Interspeech 2019, 2019

Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning.
Proceedings of the International Conference on Multimodal Interaction, 2019

Muse-ing on the Impact of Utterance Ordering on Crowdsourced Emotion Annotations.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
The PRIORI Emotion Dataset: Linking Mood to Emotion Detected In-the-Wild.
Proceedings of the Interspeech 2018, 2018

2017
"Hang In There: " Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
The Truth and Nothing But the Truth: Multimodal Analysis for Deception Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016


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