Abhinav Mehrotra
Orcid: 0000-0001-6751-0302
According to our database1,
Abhinav Mehrotra
authored at least 41 papers
between 2014 and 2024.
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Bibliography
2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
MarcoPolo: A Zero-Permission Attack for Location Type Inference from the Magnetic Field Using Mobile Devices.
Proceedings of the Cryptology and Network Security - 23rd International Conference, 2024
2023
CoRR, 2023
2022
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022
2021
IEEE Trans. Software Eng., 2021
Designing Robust Models for Behaviour Prediction Using Sparse Data from Mobile Sensing: A Case Study of Office Workers' Availability for Well-being Interventions.
ACM Trans. Comput. Heal., 2021
Proceedings of the IMC '21: ACM Internet Measurement Conference, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Synthesis Lectures on Mobile and Pervasive Computing, Morgan & Claypool Publishers, ISBN: 978-3-031-02487-0, 2020
Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
PokeME: Applying Context-Driven Notifications to Increase Worker Engagement in Mobile Crowd-sourcing.
Proceedings of the CHIIR '20: Conference on Human Information Interaction and Retrieval, 2020
2019
Graph Input Representations for Machine Learning Applications in Urban Network Analysis.
CoRR, 2019
Evaluating Machine Learning Algorithms for Prediction of the Adverse Valence Index Based on the Photographic Affect Meter.
Proceedings of the 5th ACM Workshop on Mobile Systems for Computational Social Science, 2019
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019
2018
Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018
The hidden image of mobile apps: geographic, demographic, and cultural factors in mobile usage.
Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2018
2017
Interpretable Machine Learning for Mobile Notification Management: An Overview of PrefMiner.
GetMobile Mob. Comput. Commun., 2017
MyTraces: Investigating Correlation and Causation between Users' Emotional States and Mobile Phone Interaction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Understanding the Role of Places and Activities on Mobile Phone Interaction and Usage Patterns.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors.
EPJ Data Sci., 2017
Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges.
CoRR, 2017
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities.
CoRR, 2017
Designing Effective Movement Digital Biomarkers for Unobtrusive Emotional State Mobile Monitoring.
Proceedings of the 1st Workshop on Digital Biomarkers, 2017
Using human raters to characterize the psychological characteristics of GPS-based places.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017
2016
Towards multi-modal anticipatory monitoring of depressive states through the analysis of human-smartphone interaction.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
2015
Anticipatory Mobile Digital Health: Towards Personalised Proactive Therapies and Prevention Strategies.
CoRR, 2015
Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2015
Ask, but don't interrupt: the case for interruptibility-aware mobile experience sampling.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015
Designing content-driven intelligent notification mechanisms for mobile applications.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
2014
SenSocial: a middleware for integrating online social networks and mobile sensing data streams.
Proceedings of the 15th International Middleware Conference, 2014