Healthcare Systems and Other Applications. - 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; et al. (IEEE Pervasive Comput., 2007)

Recognizing Activities in Multiple Contexts using Transfer Learning. - Tim van Kasteren; Gwenn Englebienne; Ben J. A. Kröse (AAAI Fall Symposium: AI in Eldercare: New Solutions to Old Problems, 2008)

Accurate activity recognition in a home setting. - Tim van Kasteren; Athanasios K. Noulas; Gwenn Englebienne; Ben J. A. Kröse (UbiComp, 2008)

A Hybrid Generative-Discriminative Approach to Speaker Diarization. - Athanasios K. Noulas; Tim van Kasteren; Ben J. A. Kröse (MLMI, 2008)

Transferring Knowledge of Activity Recognition across Sensor Networks. - Tim van Kasteren; Gwenn Englebienne; Ben J. A. Kröse (Pervasive, 2010)

Activity recognition using semi-Markov models on real world smart home datasets. - Tim van Kasteren; Gwenn Englebienne; Ben J. A. Kröse (J. Ambient Intell. Smart Environ., 2010)

An activity monitoring system for elderly care using generative and discriminative models. - Tim van Kasteren; Gwenn Englebienne; Ben J. A. Kröse (Pers. Ubiquitous Comput., 2010)

Activity Monitoring Systems in Health Care. - Ben J. A. Kröse; Tim van Oosterhout; Tim van Kasteren (Computer Analysis of Human Behavior, 2011)

Using Active Learning to Allow Activity Recognition on a Large Scale. - Hande Özgür Alemdar; Tim van Kasteren; Cem Ersoy (AmI, 2011)

Hierarchical Activity Recognition Using Automatically Clustered Actions. - Tim van Kasteren; Gwenn Englebienne; Ben J. A. Kröse (AmI, 2011)

Effective Performance Metrics for Evaluating Activity Recognition Methods. - Tim van Kasteren; Hande Özgür Alemdar; Cem Ersoy (ARCS Workshops, 2011)

Complexity versus Page Hierarchy of a GUI for Elderly Homecare Applications. - Mustafa Torun; Tim van Kasteren; Özlem Durmaz Incel; Cem Ersoy (ICCHP (1), 2012)

Hierarchical modeling using automated sub-clustering for sound event recognition. - Maria E. Niessen; Tim van Kasteren; Andreas Merentitis (WASPAA, 2013)

Analyzing Tweets to Aid Situational Awareness. - Tim van Kasteren; Birte Ulrich; Vignesh Srinivasan; Maria E. Niessen (ECIR, 2014)

A Unified Model for Human Behavior Modeling Using a Hierarchy with a Variable Number of States. - Hande Özgür Alemdar; Tim van Kasteren; Maria E. Niessen; Andreas Merentitis; Cem Ersoy (ICPR, 2014)

In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models. - Francisco Javier Ordóñez; Gwenn Englebienne; Paula de Toledo; Tim van Kasteren; Araceli Sanchis; Ben J. A. Kröse (IEEE Pervasive Comput., 2014)

Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest. - 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; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Big Data Analysis. - John Domingue; Nelia Lasierra; Anna Fensel; Tim van Kasteren; Martin Strohbach; Andreas Thalhammer 001 (New Horizons for a Data-Driven Economy, 2016)

Versioning for End-to-End Machine Learning Pipelines. - Tom van der Weide; Dimitris Papadopoulos; Oleg Smirnov; Michal Zielinski; Tim van Kasteren (DEEM@SIGMOD, 2017)

Active learning with uncertainty sampling for large scale activity recognition in smart homes. - Hande Özgür Alemdar; T. L. M. van Kasteren; Cem Ersoy (J. Ambient Intell. Smart Environ., 2017)