Abhinav Mehrotra

发表

FutureWare: Designing a Middleware for Anticipatory Mobile Computing

Mirco Musolesi, Veljko Pejovic, Abhinav Mehrotra, 2021, IEEE Transactions on Software Engineering.

Zero-Cost Proxies for Lightweight NAS pdf

Nicholas D. Lane, Abhinav Mehrotra, Mohamed S. Abdelfattah, 2021, ICLR.

A framework for intelligent mobile notifications

Abhinav Mehrotra, Abhinav Mehrotra, 2017 .

Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems

Sangjun Park, Samin Ishtiaq, Nicholas D. Lane, 2020, INTERSPEECH.

PrefMiner: mining user's preferences for intelligent mobile notification management

Mirco Musolesi, Abhinav Mehrotra, Robert J. Hendley, 2016, UbiComp.

Interpretable Machine Learning for Mobile Notification Management: An Overview of PrefMiner

Mirco Musolesi, Abhinav Mehrotra, Robert J. Hendley, 2017, GETMBL.

Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities pdf

Mirco Musolesi, Abhinav Mehrotra, Gatis Mikelsons, 2017, ArXiv.

SenSocial: a middleware for integrating online social networks and mobile sensing data streams

Mirco Musolesi, Veljko Pejovic, Abhinav Mehrotra, 2014, Middleware.

Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges pdf

Mirco Musolesi, Abhinav Mehrotra, Abhinav Mehrotra, 2017, ArXiv.

Intelligent Notification Systems

Mirco Musolesi, Abhinav Mehrotra, Abhinav Mehrotra, 2020, Synthesis Lectures on Mobile and Pervasive Computing.

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

Mirco Musolesi, Abhinav Mehrotra, Abhinav Mehrotra, 2017, ArXiv.

Iterative Compression of End-to-End ASR Model using AutoML

Daehyun Kim, Samin Ishtiaq, Nicholas D. Lane, 2020, INTERSPEECH.

Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States

Mirco Musolesi, Abhinav Mehrotra, Abhinav Mehrotra, 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones

Mirco Musolesi, Abhinav Mehrotra, Victor-Alexandru Darvariu, 2020, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Understanding the Role of Places and Activities on Mobile Phone Interaction and Usage Patterns

Samuel D. Gosling, Cecilia Mascolo, Mirco Musolesi, 2017, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Measures of Neural Similarity

Bradley C. Love, Sebastian Bobadilla-Suarez, Abhinav Mehrotra, 2020, Computational brain & behavior.

Graph Input Representations for Machine Learning Applications in Urban Network Analysis pdf

Mirco Musolesi, Abhinav Mehrotra, Alessio Pagani, 2019, ArXiv.

Using human raters to characterize the psychological characteristics of GPS-based places

Samuel D. Gosling, Cecilia Mascolo, Mirco Musolesi, 2017, UbiComp/ISWC Adjunct.

Towards multi-modal anticipatory monitoring of depressive states through the analysis of human-smartphone interaction

Mirco Musolesi, Abhinav Mehrotra, Robert J. Hendley, 2016, UbiComp Adjunct.

Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors

Mirco Musolesi, Bruno Lepri, Abhinav Mehrotra, 2017, EPJ Data Science.

The hidden image of mobile apps: geographic, demographic, and cultural factors in mobile usage

Sasu Tarkoma, Eemil Lagerspetz, Mirco Musolesi, 2018, MobileHCI.

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

Mirco Musolesi, Veljko Pejovic, Jo Vermeulen, 2016, CHI.

Anticipatory Mobile Digital Health: Towards Personalised Proactive Therapies and Prevention Strategies pdf

Mirco Musolesi, Veljko Pejovic, Abhinav Mehrotra, 2015, ArXiv.

Designing Effective Movement Digital Biomarkers for Unobtrusive Emotional State Mobile Monitoring

Mirco Musolesi, Abhinav Mehrotra, Abhinav Mehrotra, 2017, DigitalBioMarker@MobiSys.

PokeME: Applying Context-Driven Notifications to Increase Worker Engagement in Mobile Crowd-sourcing

Archan Misra, Mirco Musolesi, Shih-Fen Cheng, 2020, CHIIR.

Evaluating Machine Learning Algorithms for Prediction of the Adverse Valence Index Based on the Photographic Affect Meter

Mirco Musolesi, Nigel Shadbolt, Abhinav Mehrotra, 2019, MCSS '19.

Ask, but don't interrupt: the case for interruptibility-aware mobile experience sampling

Mirco Musolesi, Veljko Pejovic, Jo Vermeulen, 2015, UbiComp/ISWC Adjunct.

Designing content-driven intelligent notification mechanisms for mobile applications

Mirco Musolesi, Veljko Pejovic, Abhinav Mehrotra, 2015, UbiComp.

NotifyMeHere: Intelligent Notification Delivery in Multi-Device Environments

Mirco Musolesi, Abhinav Mehrotra, Robert J. Hendley, 2019, CHIIR.

MyTraces

Mirco Musolesi, Abhinav Mehrotra, Robert J. Hendley, 2017, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Investigating The Role of Task Engagement in Mobile Interruptibility

Mirco Musolesi, Veljko Pejovic, Abhinav Mehrotra, 2015, MobileHCI Adjunct.

Smart at what cost?: characterising mobile deep neural networks in the wild

Ilias Leontiadis, Nicholas D. Lane, Abhinav Mehrotra, 2021, Internet Measurement Conference.

Designing Robust Models for Behaviour Prediction Using Sparse Data from Mobile Sensing

Mirco Musolesi, Abhinav Mehrotra, Peter Tino, 2021, ACM Trans. Comput. Heal..

Inferring Facing Direction from Voice Signals pdf

Romit Roy Choudhury, Abhinav Mehrotra, Yu-Lin Wei, 2021, ArXiv.