Abhinav Mehrotra

Orcid: 0000-0001-6751-0302

According to our database1, Abhinav Mehrotra authored at least 39 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fast Inference Through The Reuse Of Attention Maps In Diffusion Models.
CoRR, 2024

2023
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor.
CoRR, 2023

2022
Federated Self-supervised Speech Representations: Are We There Yet?
Proceedings of the Interspeech 2022, 2022

Conditioning Sequence-to-sequence Networks with Learned Activations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Handling Missing Data For Sleep Monitoring Systems.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021
FutureWare: Designing a Middleware for Anticipatory Mobile Computing.
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

Inferring Facing Direction from Voice Signals.
CoRR, 2021

Smart at what cost?: characterising mobile deep neural networks in the wild.
Proceedings of the IMC '21: ACM Internet Measurement Conference, 2021

NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition.
Proceedings of the 9th International Conference on Learning Representations, 2021

Zero-Cost Proxies for Lightweight NAS.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Intelligent Notification Systems
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

Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems.
Proceedings of the Interspeech 2020, 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

NotifyMeHere: Intelligent Notification Delivery in Multi-Device Environments.
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
A framework for intelligent mobile notifications.
PhD thesis, 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

Sensing and Modeling Human Behavior Using Social Media and Mobile Data.
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

PrefMiner: mining user's preferences for intelligent mobile notification management.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

My Phone and Me: Understanding People's Receptivity to Mobile Notifications.
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

Investigating The Role of Task Engagement in Mobile Interruptibility.
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


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