| My phone and me: understanding people's receptivity to mobile notifications A Mehrotra, V Pejovic, J Vermeulen, R Hendley, M Musolesi Proceedings of the 2016 CHI conference on human factors in computing systems …, 2016 | 330 | 2016 |
| Zero-cost proxies for lightweight nas MS Abdelfattah, A Mehrotra, Ł Dudziak, ND Lane arXiv preprint arXiv:2101.08134, 2021 | 304 | 2021 |
| Designing content-driven intelligent notification mechanisms for mobile applications A Mehrotra, M Musolesi, R Hendley, V Pejovic Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015 | 238 | 2015 |
| PrefMiner: Mining user's preferences for intelligent mobile notification management A Mehrotra, R Hendley, M Musolesi Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016 | 174 | 2016 |
| Towards multi-modal anticipatory monitoring of depressive states through the analysis of human-smartphone interaction A Mehrotra, R Hendley, M Musolesi Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016 | 100 | 2016 |
| MyTraces: Investigating correlation and causation between users’ emotional states and mobile phone interaction A Mehrotra, F Tsapeli, R Hendley, M Musolesi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 96 | 2017 |
| NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition A Mehrotra, AGCP Ramos, S Bhattacharya, Ł Dudziak, R Vipperla, ... International Conference on Learning Representations, 2021 | 78 | 2021 |
| Using autoencoders to automatically extract mobility features for predicting depressive states A Mehrotra, M Musolesi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 67 | 2018 |
| The hidden image of mobile apps: geographic, demographic, and cultural factors in mobile usage E Peltonen, E Lagerspetz, J Hamberg, A Mehrotra, M Musolesi, P Nurmi, ... Proceedings of the 20th International Conference on Human-Computer …, 2018 | 64 | 2018 |
| Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors G Barlacchi, C Perentis, A Mehrotra, M Musolesi, B Lepri EPJ data science 6, 1-15, 2017 | 59 | 2017 |
| SenSocial: a middleware for integrating online social networks and mobile sensing data streams A Mehrotra, V Pejovic, M Musolesi Proceedings of the 15th international middleware conference, 205-216, 2014 | 59 | 2014 |
| Understanding the role of places and activities on mobile phone interaction and usage patterns A Mehrotra, SR Müller, GM Harari, SD Gosling, C Mascolo, M Musolesi, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 57 | 2017 |
| Measures of neural similarity S Bobadilla-Suarez, C Ahlheim, A Mehrotra, A Panos, BC Love Computational brain & behavior 3, 369-383, 2020 | 55 | 2020 |
| Investigating the role of task engagement in mobile interruptibility V Pejovic, M Musolesi, A Mehrotra Proceedings of the 17th International Conference on Human-Computer …, 2015 | 52 | 2015 |
| Ask, but don't interrupt: the case for interruptibility-aware mobile experience sampling A Mehrotra, J Vermeulen, V Pejovic, M Musolesi Adjunct Proceedings of the 2015 ACM International Joint Conference on …, 2015 | 47 | 2015 |
| Smart at what cost? characterising mobile deep neural networks in the wild M Almeida, S Laskaridis, A Mehrotra, L Dudziak, I Leontiadis, ND Lane Proceedings of the 21st ACM Internet Measurement Conference, 658-672, 2021 | 43 | 2021 |
| Towards deep learning models for psychological state prediction using smartphone data: Challenges and opportunities G Mikelsons, M Smith, A Mehrotra, M Musolesi arXiv preprint arXiv:1711.06350, 2017 | 32 | 2017 |
| Bunched lpcnet: Vocoder for low-cost neural text-to-speech systems R Vipperla, S Park, K Choo, S Ishtiaq, K Min, S Bhattacharya, A Mehrotra, ... arXiv preprint arXiv:2008.04574, 2020 | 26 | 2020 |
| Anticipatory mobile digital health: Towards personalized proactive therapies and prevention strategies V Pejovic, A Mehrotra, M Musolesi Anticipation and Medicine, 253-267, 2017 | 25 | 2017 |
| Quantifying the relationships between everyday objects and emotional states through deep learning based image analysis using smartphones VA Darvariu, L Convertino, A Mehrotra, M Musolesi Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 24 | 2020 |
Mirco MusolesiUniversity College LondonVerified email at ucl.ac.uk
