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ORCIDAbhinav Mehrotra
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2020 – today
- 2024
[c23]Beatrice Perez, Abhinav Mehrotra, Mirco Musolesi:
MarcoPolo: A Zero-Permission Attack for Location Type Inference from the Magnetic Field Using Mobile Devices. CANS (2) 2024: 3-24- [c22]Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Abhinav Mehrotra, Nicholas Donald Lane, Hongkai Wen:
Towards Neural Architecture Search through Hierarchical Generative Modeling. ICML 2024 - [i13]Rosco Hunter, Lukasz Dudziak, Mohamed S. Abdelfattah, Abhinav Mehrotra, Sourav Bhattacharya, Hongkai Wen:
Fast Inference Through The Reuse Of Attention Maps In Diffusion Models. CoRR abs/2401.01008 (2024) - 2023
- [i12]Hrushikesh Loya, Lukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernández-Marqués, Nicholas D. Lane, Hongkai Wen:
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor. CoRR abs/2311.18451 (2023) - 2022
- [c21]Shkurta Gashi, Lidia Alecci, Martin Gjoreski, Elena Di Lascio, Abhinav Mehrotra, Mirco Musolesi, Maike E. Debus, Francesca Gasparini, Silvia Santini:
Handling Missing Data For Sleep Monitoring Systems. ACII 2022: 1-8 - [c20]Alberto Gil Couto Pimentel Ramos, Abhinav Mehrotra, Nicholas Donald Lane, Sourav Bhattacharya:
Conditioning Sequence-to-sequence Networks with Learned Activations. ICLR 2022 - [c19]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane:
Federated Self-supervised Speech Representations: Are We There Yet? INTERSPEECH 2022: 3809-3813 - [i11]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane:
Federated Self-supervised Speech Representations: Are We There Yet? CoRR abs/2204.02804 (2022) - 2021
- [j8]Seyma Kucukozer Cavdar, Tugba Taskaya-Temizel
, Abhinav Mehrotra, Mirco Musolesi, Peter Tino:
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. 2(4): 29:1-29:33 (2021) - [j7]Abhinav Mehrotra, Veljko Pejovic, Mirco Musolesi:
FutureWare: Designing a Middleware for Anticipatory Mobile Computing. IEEE Trans. Software Eng. 47(10): 2107-2124 (2021) - [c18]Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas Donald Lane:
Zero-Cost Proxies for Lightweight NAS. ICLR 2021 - [c17]Abhinav Mehrotra, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Lukasz Dudziak, Ravichander Vipperla, Thomas Chau, Mohamed S. Abdelfattah, Samin Ishtiaq, Nicholas Donald Lane:
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition. ICLR 2021 - [c16]Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane:
Smart at what cost?: characterising mobile deep neural networks in the wild. Internet Measurement Conference 2021: 658-672 - [i10]Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas D. Lane:
Zero-Cost Proxies for Lightweight NAS. CoRR abs/2101.08134 (2021) - [i9]Yu-Lin Wei, Rui Li, Abhinav Mehrotra, Romit Roy Choudhury, Nicholas D. Lane:
Inferring Facing Direction from Voice Signals. CoRR abs/2109.13094 (2021) - [i8]Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane:
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild. CoRR abs/2109.13963 (2021) - 2020
- [b2]Abhinav Mehrotra, Mirco Musolesi:
Intelligent Notification Systems. Synthesis Lectures on Mobile and Pervasive Computing, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01359-1 - [j6]Victor-Alexandru Darvariu, Laura Convertino, Abhinav Mehrotra, Mirco Musolesi:
Quantifying the Relationships between Everyday Objects and Emotional States through Deep Learning Based Image Analysis Using Smartphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 7:1-7:21 (2020) - [c15]Thivya Kandappu, Abhinav Mehrotra, Archan Misra, Mirco Musolesi, Shih-Fen Cheng, Lakmal Meegahapola:
PokeME: Applying Context-Driven Notifications to Increase Worker Engagement in Mobile Crowd-sourcing. CHIIR 2020: 3-12 - [c14]Abhinav Mehrotra, Lukasz Dudziak, Jinsu Yeo, Young-Yoon Lee, Ravichander Vipperla, Mohamed S. Abdelfattah, Sourav Bhattacharya, Samin Ishtiaq, Alberto Gil C. P. Ramos, SangJeong Lee, Daehyun Kim, Nicholas D. Lane:
Iterative Compression of End-to-End ASR Model Using AutoML. INTERSPEECH 2020: 3361-3365 - [c13]Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane:
Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems. INTERSPEECH 2020: 3565-3569 - [i7]Abhinav Mehrotra, Lukasz Dudziak, Jinsu Yeo, Young-Yoon Lee, Ravichander Vipperla, Mohamed S. Abdelfattah, Sourav Bhattacharya, Samin Ishtiaq, Alberto Gil C. P. Ramos, SangJeong Lee, Daehyun Kim, Nicholas D. Lane:
Iterative Compression of End-to-End ASR Model using AutoML. CoRR abs/2008.02897 (2020) - [i6]Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane:
Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems. CoRR abs/2008.04574 (2020)
2010 – 2019
- 2019
- [c12]Abhinav Mehrotra, Robert J. Hendley, Mirco Musolesi:
NotifyMeHere: Intelligent Notification Delivery in Multi-Device Environments. CHIIR 2019: 103-111 - [c11]Gatis Mikelsons, Abhinav Mehrotra, Mirco Musolesi, Nigel Shadbolt:
Evaluating Machine Learning Algorithms for Prediction of the Adverse Valence Index Based on the Photographic Affect Meter. MCSS@MobiSys 2019: 5-10 - [i5]Alessio Pagani, Abhinav Mehrotra, Mirco Musolesi:
Graph Input Representations for Machine Learning Applications in Urban Network Analysis. CoRR abs/1912.07662 (2019) - 2018
- [j5]Abhinav Mehrotra, Mirco Musolesi:
Using Autoencoders to Automatically Extract Mobility Features for Predicting Depressive States. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 127:1-127:20 (2018) - [c10]Ella Peltonen, Eemil Lagerspetz, Jonatan Hamberg, Abhinav Mehrotra, Mirco Musolesi, Petteri Nurmi, Sasu Tarkoma:
The hidden image of mobile apps: geographic, demographic, and cultural factors in mobile usage. MobileHCI 2018: 10:1-10:12 - 2017
- [b1]Abhinav Mehrotra:
A framework for intelligent mobile notifications. University of Birmingham, UK, 2017 - [j4]Gianni Barlacchi, Christos Perentis, Abhinav Mehrotra, Mirco Musolesi, Bruno Lepri:
Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors. EPJ Data Sci. 6(1): 27 (2017) - [j3]Abhinav Mehrotra, Fani Tsapeli, Robert J. Hendley, Mirco Musolesi:
MyTraces: Investigating Correlation and Causation between Users' Emotional States and Mobile Phone Interaction. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 83:1-83:21 (2017) - [j2]Abhinav Mehrotra, Sandrine R. Müller, Gabriella M. Harari, Samuel D. Gosling, Cecilia Mascolo, Mirco Musolesi, Peter J. Rentfrow:
Understanding the Role of Places and Activities on Mobile Phone Interaction and Usage Patterns. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 84:1-84:22 (2017) - [j1]Abhinav Mehrotra, Robert J. Hendley, Mirco Musolesi:
Interpretable Machine Learning for Mobile Notification Management: An Overview of PrefMiner. GetMobile Mob. Comput. Commun. 21(2): 35-38 (2017) - [c9]Sandrine R. Müller, Gabriella M. Harari, Abhinav Mehrotra, Sandra C. Matz, Poruz Khambatta, Mirco Musolesi, Cecilia Mascolo, Samuel D. Gosling, Peter J. Rentfrow:
Using human raters to characterize the psychological characteristics of GPS-based places. UbiComp/ISWC Adjunct 2017: 157-160 - [c8]Abhinav Mehrotra, Mirco Musolesi:
Designing Effective Movement Digital Biomarkers for Unobtrusive Emotional State Mobile Monitoring. DigitalBioMarker@MobiSys 2017: 3-8 - [i4]Abhinav Mehrotra, Mirco Musolesi:
Sensing and Modeling Human Behavior Using Social Media and Mobile Data. CoRR abs/1702.01181 (2017) - [i3]Gatis Mikelsons, Matthew Smith, Abhinav Mehrotra, Mirco Musolesi:
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities. CoRR abs/1711.06350 (2017) - [i2]Abhinav Mehrotra, Mirco Musolesi:
Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges. CoRR abs/1711.10171 (2017) - 2016
- [c7]Abhinav Mehrotra, Veljko Pejovic, Jo Vermeulen, Robert J. Hendley, Mirco Musolesi:
My Phone and Me: Understanding People's Receptivity to Mobile Notifications. CHI 2016: 1021-1032 - [c6]Abhinav Mehrotra, Robert J. Hendley, Mirco Musolesi:
Towards multi-modal anticipatory monitoring of depressive states through the analysis of human-smartphone interaction. UbiComp Adjunct 2016: 1132-1138 - [c5]Abhinav Mehrotra, Robert J. Hendley, Mirco Musolesi:
PrefMiner: mining user's preferences for intelligent mobile notification management. UbiComp 2016: 1223-1234 - 2015
- [c4]Abhinav Mehrotra, Jo Vermeulen, Veljko Pejovic, Mirco Musolesi:
Ask, but don't interrupt: the case for interruptibility-aware mobile experience sampling. UbiComp/ISWC Adjunct 2015: 723-732 - [c3]Abhinav Mehrotra, Mirco Musolesi, Robert J. Hendley, Veljko Pejovic:
Designing content-driven intelligent notification mechanisms for mobile applications. UbiComp 2015: 813-824 - [c2]Veljko Pejovic, Mirco Musolesi, Abhinav Mehrotra:
Investigating The Role of Task Engagement in Mobile Interruptibility. MobileHCI Adjunct 2015: 1100-1105 - [i1]Veljko Pejovic, Abhinav Mehrotra, Mirco Musolesi:
Anticipatory Mobile Digital Health: Towards Personalised Proactive Therapies and Prevention Strategies. CoRR abs/1508.03722 (2015) - 2014
- [c1]Abhinav Mehrotra, Veljko Pejovic, Mirco Musolesi:
SenSocial: a middleware for integrating online social networks and mobile sensing data streams. Middleware 2014: 205-216
Coauthor Index
aka: Nicholas Donald Lane
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last updated on 2024-10-10 21:17 CEST by the dblp team
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