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2010 – 2019
- 2017
[j6]Hande Özgür Alemdar
, T. L. M. van Kasteren, Cem Ersoy:
Active learning with uncertainty sampling for large scale activity recognition in smart homes. J. Ambient Intell. Smart Environ. 9(2): 209-223 (2017)- [c12]Tom van der Weide, Dimitris Papadopoulos, Oleg Smirnov, Michal Zielinski, Tim van Kasteren:
Versioning for End-to-End Machine Learning Pipelines. DEEM@SIGMOD 2017: 2:1-2:9 - 2016
- [p2]John Domingue, Nelia Lasierra, Anna Fensel, Tim van Kasteren, Martin Strohbach, Andreas Thalhammer:
Big Data Analysis. New Horizons for a Data-Driven Economy 2016: 63-86 - 2014
- [j5]Francisco Javier Ordóñez, Gwenn Englebienne, Paula de Toledo, Tim van Kasteren, Araceli Sanchis, Ben J. A. Kröse:
In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models. IEEE Pervasive Comput. 13(3): 67-75 (2014) - [j4]Christian Debes, Andreas Merentitis, Roel Heremans, Jürgen T. Hahn, Nikolaos Frangiadakis, Tim van Kasteren, Wenzhi Liao, Rik Bellens, Aleksandra Pizurica, Sidharta Gautama, Wilfried Philips, Saurabh Prasad, Qian Du, Fabio Pacifici:
Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2405-2418 (2014) - [c11]Tim van Kasteren, Birte Ulrich, Vignesh Srinivasan, Maria E. Niessen:
Analyzing Tweets to Aid Situational Awareness. ECIR 2014: 700-705 - [c10]Hande Özgür Alemdar, Tim van Kasteren, Maria E. Niessen, Andreas Merentitis, Cem Ersoy:
A Unified Model for Human Behavior Modeling Using a Hierarchy with a Variable Number of States. ICPR 2014: 3804-3809 - 2013
- [c9]Maria E. Niessen, Tim van Kasteren, Andreas Merentitis:
Hierarchical modeling using automated sub-clustering for sound event recognition. WASPAA 2013: 1-4 - 2012
- [c8]Mustafa Torun, Tim van Kasteren, Özlem Durmaz Incel, Cem Ersoy:
Complexity versus Page Hierarchy of a GUI for Elderly Homecare Applications. ICCHP (1) 2012: 689-696 - 2011
- [c7]Tim van Kasteren, Gwenn Englebienne, Ben J. A. Kröse:
Hierarchical Activity Recognition Using Automatically Clustered Actions. AmI 2011: 82-91 - [c6]Hande Özgür Alemdar, Tim van Kasteren, Cem Ersoy:
Using Active Learning to Allow Activity Recognition on a Large Scale. AmI 2011: 105-114 - [c5]Tim van Kasteren, Hande Özgür Alemdar, Cem Ersoy:
Effective Performance Metrics for Evaluating Activity Recognition Methods. ARCS Workshops 2011 - [p1]Ben J. A. Kröse, Tim van Oosterhout, Tim van Kasteren:
Activity Monitoring Systems in Health Care. Computer Analysis of Human Behavior 2011: 325-346 - 2010
- [j3]Tim van Kasteren, Gwenn Englebienne, Ben J. A. Kröse:
Activity recognition using semi-Markov models on real world smart home datasets. J. Ambient Intell. Smart Environ. 2(3): 311-325 (2010) - [j2]Tim van Kasteren, Gwenn Englebienne, Ben J. A. Kröse:
An activity monitoring system for elderly care using generative and discriminative models. Pers. Ubiquitous Comput. 14(6): 489-498 (2010) - [c4]Tim van Kasteren, Gwenn Englebienne, Ben J. A. Kröse:
Transferring Knowledge of Activity Recognition across Sensor Networks. Pervasive 2010: 283-300
2000 – 2009
- 2008
- [c3]Tim van Kasteren, Gwenn Englebienne, Ben J. A. Kröse:
Recognizing Activities in Multiple Contexts using Transfer Learning. AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems 2008: 142-149 - [c2]Tim van Kasteren, Athanasios K. Noulas, Gwenn Englebienne, Ben J. A. Kröse:
Accurate activity recognition in a home setting. UbiComp 2008: 1-9 - [c1]Athanasios K. Noulas, Tim van Kasteren, Ben J. A. Kröse:
A Hybrid Generative-Discriminative Approach to Speaker Diarization. MLMI 2008: 98-109 - 2007
- [j1]Rose-Marie Dröes, Maurice D. Mulvenna, Chris D. Nugent, Dewar D. Finlay, Mark P. Donnelly, Marius Mikalsen, Ståle Walderhaug, Tim van Kasteren, Ben J. A. Kröse, Stefano Puglia, Fabio Scanu, Marco Oreste Migliori, Erdem Uçar, Cenk Atlig, Yilmaz Kiliçaslan, Özlem Uçar, Jennifer C. Hou:
Healthcare Systems and Other Applications. IEEE Pervasive Comput. 6(1): 59-63 (2007)
Coauthor Index
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