Julian Andres Ramos Rojas

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Anind K. DeyUniversity of WashingtonVerified email at uw.edu
Jin-Hyuk HongGISTVerified email at gist.ac.kr
Tadashi OkoshiAssociate Professor, Faculty of Environment and Information Studies, Keio UniversityVerified email at sfc.keio.ac.jp
Hideyuki TokudaProfessor, Keio UniveristyVerified email at sfc.keio.ac.jp
Sha ZHAOZhejiang University; Carnegie Mellon UniversityVerified email at zju.edu.cn
Gang Pan (潘纲)Professor of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
Denzil FerreiraAdjunct Professor, Senior Research Fellow, University of OuluVerified email at oulu.fi
Katarzyna WacFull Professor, Quality of Life Lab Director, GSEM, University of Geneva, SwitzerlandVerified email at stanford.edu
Hongyi WenCornell Tech, Cornell UniversityVerified email at cornell.edu
Jennifer MankoffUniversity of WashingtonVerified email at cs.washington.edu
Nikola BanovicAssistant Professor at the University of Michigan, Ann ArborVerified email at umich.edu
Hristijan GjoreskiSs. Cyril and Methodius University in SkopjeVerified email at feit.ukim.edu.mk
Maurizio BoccaSr. System Architect (Connectivity), Amazon Lab126Verified email at amazon.com
Matjaz GamsJozef Stefan InstituteVerified email at ijs.si
Juan A. Álvarez-GarcíaAssociate Professor, Universidad de Sevilla, SpainVerified email at us.es
Neal PatwariProfessor, Washington University in St. LouisVerified email at wustl.edu
Mitja LuštrekArtificial intelligence researcher, Jožef Stefan InstituteVerified email at ijs.si
Simon KozinaJožef Stefan InstituteVerified email at ijs.si
Stephanie RosenthalCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Mary Beth KeryHCII, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Julian Andres Ramos Rojas

Ph.D. Candidate, Human-computer Interaction Institute, School of Computer Science, Carnegie Mellon

Verified email at andrew.cmu.edu - Homepage

Human-Computer Interaction Machine Learning Artificial Intelligence Mobile health


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Getting closer: an empirical investigation of the proximity of user to their smart phones AK Dey, K Wac, D Ferreira, K Tassini, JH Hong, J Ramos Proceedings of the 13th international conference on Ubiquitous computing …, 2011	238	2011
Serendipity: Finger Gesture Recognition using an Off-the-Shelf Smartwatch H Wen, J Ramos Rojas, AK Dey Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016	131	2016
Reducing users' perceived mental effort due to interruptive notifications in multi-device mobile environments T Okoshi, J Ramos, H Nozaki, J Nakazawa, AK Dey, H Tokuda Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015	122	2015
Discovering different kinds of smartphone users through their application usage behaviors S Zhao, J Ramos, J Tao, Z Jianh, S Li, Z Wu, G Pan, A Dey The 2016 ACM International Joint Conference on Pervasive and Ubiquitous …, 2016	115	2016
Attelia: Reducing user's cognitive load due to interruptive notifications on smart phones T Okoshi, J Ramos, H Nozaki, J Nakazawa, AK Dey, H Tokuda 2015 IEEE International Conference on Pervasive Computing and Communications …, 2015	79	2015
Toward personalized activity recognition systems with a semipopulation approach JH Hong, J Ramos, AK Dey IEEE Transactions on Human-Machine Systems 46 (1), 101-112, 2015	66	2015
Understanding physiological responses to stressors during physical activity JH Hong, J Ramos, AK Dey Proceedings of the 2012 ACM conference on ubiquitous computing, 270-279, 2012	66	2012
Towards attention-aware adaptive notification on smart phones T Okoshi, H Nozaki, J Nakazawa, H Tokuda, J Ramos, AK Dey Pervasive and Mobile Computing 26, 17-34, 2016	49	2016
Competitive live evaluations of activity-recognition systems H Gjoreski, S Kozina, M Gams, M Lustrek, JA Álvarez-García, JH Hong, ... IEEE Pervasive Computing 14 (1), 70-77, 2015	47	2015
Sampling techniques to improve big data exploration JAR Rojas, MB Kery, S Rosenthal, A Dey 2017 IEEE 7th symposium on large data analysis and visualization (LDAV), 26-35, 2017	34	2017
Stress Recognition: A step outside the lab J Ramos, JH Hong, AK Dey International Conference on Physiological Computing Systems, 107-118, 2014	27	2014
User profiling from their use of smartphone applications: A survey S Zhao, S Li, J Ramos, Z Luo, Z Jiang, AK Dey, G Pan Pervasive and Mobile Computing 59, 101052, 2019	19	2019
Leveraging human routine models to detect and generate human behaviors N Banovic, A Wang, Y Jin, C Chang, J Ramos, A Dey, J Mankoff Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017	15	2017
An activity recognition system for ambient assisted living environments JH Hong, J Ramos, C Shin, AK Dey Evaluating AAL Systems Through Competitive Benchmarking: International …, 2012	11	2012
Automatic state discovery for unstructured audio scene classification J Ramos, S Siddiqi, A Dubrawski, G Gordon, A Sharma 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010	8	2010
Who are the smartphone users? Identifying user groups with apps usage behaviors S Zhao, J Ramos, J Tao, Z Jiang, S Li, Z Wu, G Pan, AK Dey GetMobile: Mobile Computing and Communications 21 (2), 31-34, 2017	7	2017
Keyboard surface interaction: Making the keyboard into a pointing device J Ramos, Z Li, J Rosas, N Banovic, J Mankoff, A Dey arXiv preprint arXiv:1601.04029, 2016	7	2016
Exploring AI-based personalization of a mobile health intervention and its effects on behavior change, motivation, and adherence JAR ROJAS Carnegie Mellon University Pittsburgh, PA, 2021		2021
Activity Recommendation: Optimizing Life in the Long Term J Ramos, J Rosas, Y Shen, H Jin, AK Dey 2020 IEEE International Conference on Pervasive Computing and Communications …, 2020		2020
Beyond Steps: Challenges and Opportunities in Fitness Tracking R Khurana, A Bedri, P Carrington, DA Epstein, R Gouveia, J Meyer, ...		2018

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