Abhinav Mehrotra - Citegraph

Author Info

Name	Affiliation	Papers
ABHINAV MEHROTRA	University of Birmingham, UK	23
Collaborators	Citations	PageRank
29	169	11.69
Referers	Referees	References
404	512	273

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100512

Publications (23 rows)

Collaborators (29 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Zero-Cost Proxies for Lightweight NAS	0	0.34	2021
FutureWare: Designing a Middleware for Anticipatory Mobile Computing	0	0.34	2021
Designing Robust Models for Behaviour Prediction Using Sparse Data from Mobile Sensing: A Case Study of Office Workers’ Availability for Well-being Interventions	0	0.34	2021
Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones	1	0.35	2020
Evaluating Machine Learning Algorithms for Prediction of the Adverse Valence Index Based on the Photographic Affect Meter	0	0.34	2019
NotifyMeHere: Intelligent Notification Delivery in Multi-Device Environments	0	0.34	2019
Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States.	6	0.43	2018
Understanding the Role of Places and Activities on Mobile Phone Interaction and Usage Patterns.	4	0.38	2017
MyTraces: Investigating Correlation and Causation between Users' Emotional States and Mobile Phone Interaction.	4	0.44	2017
Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges.	2	0.39	2017
Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors.	3	0.41	2017
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities.	0	0.34	2017
Interpretable Machine Learning for Mobile Notification Management: An Overview of PrefMiner	0	0.34	2017
Designing Effective Movement Digital Biomarkers for Unobtrusive Emotional State Mobile Monitoring	0	0.34	2017
Using human raters to characterize the psychological characteristics of GPS-based places.	0	0.34	2017
Towards multi-modal anticipatory monitoring of depressive states through the analysis of human-smartphone interaction.	7	0.61	2016
My Phone and Me: Understanding People's Receptivity to Mobile Notifications.	43	1.29	2016
PrefMiner: mining user's preferences for intelligent mobile notification management.	22	0.74	2016
Ask, but don't interrupt: the case for interruptibility-aware mobile experience sampling	7	0.47	2015
Anticipatory Mobile Digital Health: Towards Personalised Proactive Therapies and Prevention Strategies	4	0.41	2015
Investigating The Role of Task Engagement in Mobile Interruptibility	10	0.61	2015
Designing content-driven intelligent notification mechanisms for mobile applications	41	1.30	2015
SenSocial: a middleware for integrating online social networks and mobile sensing data streams.	15	0.80	2014