| 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 | 184 | 2016 |
| 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 | 145 | 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 | 105 | 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 | 51 | 2016 |
| 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 | 48 | 2014 |
| 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 | 40 | 2017 |
| 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 | 32 | 2015 |
| 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 | 31 | 2015 |
| 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 | 28 | 2018 |
| 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 | 28 | 2017 |
| 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 | 25 | 2017 |
| 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 | 23 | 2018 |
| Antiwear characteristics of additives: synergistic and adverse effects AK Misra, AK Mehrotra, RD Srivastava Wear 31 (2), 345-357, 1975 | 23 | 1975 |
| Intelligent notification systems: A survey of the state of the art and research challenges A Mehrotra, M Musolesi arXiv preprint arXiv:1711.10171, 2017 | 20 | 2017 |
| Designing effective movement digital biomarkers for unobtrusive emotional state mobile monitoring A Mehrotra, M Musolesi Proceedings of the 1st Workshop on Digital Biomarkers, 3-8, 2017 | 18 | 2017 |
| Anticipatory mobile digital health: Towards personalized proactive therapies and prevention strategies V Pejovic, A Mehrotra, M Musolesi Anticipation and Medicine, 253-267, 2017 | 18 | 2017 |
| 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 | 15 | 2017 |
| Measures of neural similarity S Bobadilla-Suarez, C Ahlheim, A Mehrotra, A Panos, BC Love Computational brain & behavior 3 (4), 369-383, 2020 | 14 | 2020 |
| Interpretable machine learning for mobile notification management: An overview of prefminer A Mehrotra, R Hendley, M Musolesi GetMobile: Mobile Computing and Communications 21 (2), 35-38, 2017 | 12 | 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 | 7 | 2020 |
Mirco MusolesiUniversity College LondonVerified email at ucl.ac.uk
