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Tim van Kasteren
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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)
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