| Cooperative caching: Using remote client memory to improve file system performance MD Dahlin, RY Wang, TE Anderson, DA Patterson Proceedings of the 1st USENIX conference on Operating Systems Design and …, 1994 | 1121* | 1994 |
| Automatic anomaly detection in the cloud via statistical learning J Hochenbaum, OS Vallis, A Kejariwal arXiv preprint arXiv:1704.07706, 2017 | 254 | 2017 |
| The machine orchestra: An ensemble of human laptop performers and robotic musical instruments A Kapur, M Darling, D Diakopoulos, JW Murphy, J Hochenbaum, O Vallis, ... Computer Music Journal 35 (4), 49-63, 2011 | 77 | 2011 |
| Arduino in action M Evans, JJ Noble, J Hochenbaum Manning, 2013 | 69 | 2013 |
| User identity authentication techniques for on-line content or access PR Cook, A Kapur, OS Vallis, J Hochenbaum US Patent 10,095,850, 2018 | 40 | 2018 |
| Bricktable: A musical tangible multi-touch interface J Hochenbaum, O Vallis Proceedings of the Berlin Open, 2009 | 36 | 2009 |
| 21st Century Electronica: MIR Techniques for Classification and Performance. D Diakopoulos, O Vallis, J Hochenbaum, JW Murphy, A Kapur ISMIR, 465-470, 2009 | 33 | 2009 |
| Designing Expressive Musical Interfaces for Tabletop Surfaces. J Hochenbaum, O Vallis, D Diakopoulos, JW Murphy, A Kapur NIME, 315-318, 2010 | 23 | 2010 |
| The KarmetiK NotomotoN: A New Breed of Musical Robot for Teaching and Performance. A Kapur, M Darling, JW Murphy, J Hochenbaum, D Diakopoulos, ... NIME, 228-231, 2011 | 22 | 2011 |
| Drum Stroke Computing: Multimodal Signal Processing for Drum Stroke Identification and Performance Metrics. J Hochenbaum, A Kapur NIME, 2012 | 18 | 2012 |
| A Shift Towards Iterative and Open-Source Design for Musical Interfaces. O Vallis, J Hochenbaum, A Kapur NIME, 1-6, 2010 | 18 | 2010 |
| Feature extraction and machine learning for evaluation of image-or video-type, media-rich coursework A Kapur, PR Cook, J Hochenbaum, CB Honigman, OS Vallis, CA Wagner, ... US Patent 9,792,553, 2017 | 17 | 2017 |
| AnomalyDetection: Anomaly Detection Using Seasonal Hybrid Extreme Studentized Deviate Test OS Vallis, J Hochenbaum, A Kejariwal, B Rudis, Y Tang R package version 1, 2014 | 16 | 2014 |
| Automatic anomaly detection in the cloud via statistical learning. arXiv 2017 J Hochenbaum, OS Vallis, A Kejariwal arXiv preprint arXiv:1704.07706, 0 | 16 | |
| Building on the Foundations of Network Music: Exploring interaction contexts and shared robotic instruments O Vallis, D Diakopoulos, J Hochenbaum, A Kapur Organised Sound 17 (1), 62-72, 2012 | 14 | 2012 |
| Self Organizing Maps (SOMS) for Organizing, Categorizing, Browsing and/or Grading Large Collections of Assignments for Massive Online Education Systems JN Hochenbaum, A Kapur, OS Vallis, PR Cook, C Honigman, C Wagner US Patent App. 14/524,913, 2015 | 13 | 2015 |
| Feature Extraction and Machine Learning for Evaluation of Audio-Type, Media-Rich Coursework A Kapur, PR Cook, J Hochenbaum, OS Vallis, CA Wagner, EC Heep US Patent App. 14/448,579, 2015 | 13 | 2015 |
| Techniques in Swept Frequency Capacitive Sensing: An Open Source Approach. C Honigman, J Hochenbaum, A Kapur Nime, 74-77, 2014 | 11 | 2014 |
| Multimodal Musician Recognition J Hochenbaum, A Kapur, M Wright | 11* | |
| Automatic anomaly detection in the cloud via statistical learning. 2017 J Hochenbaum, OS Vallis, A Kejariwal arXiv preprint arXiv:1704.07706, 2017 | 10 | 2017 |
owen vallisProfessor of Music Technology, California Institute of the ArtsVerified email at calarts.edu
