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2012.02359
Cited By

Multimodal Privacy-preserving Mood Prediction from Mobile Data: A
Preliminary Study

Multimodal Privacy-preserving Mood Prediction from Mobile Data: A Preliminary Study

4 December 2020

Michal Muszynski

Randy P. Auerbach

Nicholas B. Allen

Louis-Philippe Morency

ArXiv (abs)PDF HTML

Papers citing "Multimodal Privacy-preserving Mood Prediction from Mobile Data: A Preliminary Study"

4 / 4 papers shown

Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG
Representative Learning

Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative LearningNeural Networks (NN), 2024

306

3

0

20 Sep 2024

FedTherapist: Mental Health Monitoring with User-Generated Linguistic
Expressions on Smartphones via Federated Learning

FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023

263

16

0

25 Oct 2023

Predicting and Visualizing Daily Mood of People Using Tracking Data of
Consumer Devices and Services

Predicting and Visualizing Daily Mood of People Using Tracking Data of Consumer Devices and Services

Christian Reiser

201

2

0

08 Feb 2022

LEAPMood: Light and Efficient Architecture to Predict Mood with Genetic
Algorithm driven Hyperparameter Tuning

LEAPMood: Light and Efficient Architecture to Predict Mood with Genetic Algorithm driven Hyperparameter TuningInternational Computer Science Conference (ICSC), 2022

Harichandana B S S

301

6

0

05 Feb 2022

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