Contextual motor feedback in cursor control. - Reinder Haakma (CHI Posters and Short Talks, 1992)

Layered protocols in user interfaces for consumer equipment. - J. H. Eggen; Reinder Haakma; Joyce H. D. M. Westerink (INTERCHI Adjunct Proceedings, 1993)

Expectations and Feedback in User-System Communication. - Frits L. Engel; Reinder Haakma (Int. J. Man Mach. Stud., 1993)

Improved efficiency through I- and E-feedback: a trackball with contextual force feedback. - Frits L. Engel; Peter Goossens; Reinder Haakma (Int. J. Hum. Comput. Stud., 1994)

Layered Protocols: hands-on experience. - J. H. Eggen; Reinder Haakma; Joyce H. D. M. Westerink (Int. J. Hum. Comput. Stud., 1996)

Towards explaining the behaviour of novice users. - Reinder Haakma (Int. J. Hum. Comput. Stud., 1999)

Usability Evaluation of Component-Based User Interfaces. - Willem-Paul Brinkman; Reinder Haakma; Don Bouwhuis (INTERACT, 2001)

Usability Testing of Interaction Components: Taking the Message Exchange as a Measure of Usability. - Willem-Paul Brinkman; Reinder Haakma; Don Bouwhuis (CADUI, 2004)

Empirical Usability Testing in a Component-Based Environment: Improving Test Efficiency with Component-Specific Usability Measures. - Willem-Paul Brinkman; Reinder Haakma; Don Bouwhuis (EHCI/DS-VIS, 2004)

Relation between DSIS and DSCQS for temporal and spatial video artifacts in a wireless home environment. - Nele Van den Ende; Lydia M. J. Meesters; Reinder Haakma (Human Vision and Electronic Imaging, 2007)

Towards an empirical method of efficiency testing of system parts: A methodological study. - Willem-Paul Brinkman; Reinder Haakma; Don Bouwhuis (Interact. Comput., 2007)

How to Improve the Production Process for interactive TV with semi-formal Methods. - Matthias Rauterberg; Michel Alders; Reinder Haakma (J. Virtual Real. Broadcast., 2007)

Component-Specific Usability Testing. - Willem-Paul Brinkman; Reinder Haakma; Don Bouwhuis (IEEE Trans. Syst. Man Cybern. Part A, 2008)

The theoretical foundation and validity of a component-based usability questionnaire. - Willem-Paul Brinkman; Reinder Haakma; Don Bouwhuis (Behav. Inf. Technol., 2009)

Using dynamic time warping for sleep and wake discrimination. - Xi Long; Pedro Fonseca 002; Jérôme Foussier; Reinder Haakma; Ronald M. Aarts (BHI, 2012)

Time-frequency analysis of heart rate variability for sleep and wake classification. - Xi Long; Pedro Fonseca 002; Reinder Haakma; Ronald M. Aarts; Jérôme Foussier (BIBE, 2012)

Respiration amplitude analysis for REM and NREM sleep classification. - Xi Long; Jérôme Foussier; Pedro Fonseca 002; Reinder Haakma; Ronald M. Aarts (EMBC, 2013)

Does Being Monitored during Sleep Affect People on a Cognitive and a Behavioral Level? - M. S. Goelema; Reinder Haakma; Panos Markopoulos 001 (HEALTHINF, 2014)

Automatic detection of overnight deep sleep based on heart rate variability: A preliminary study. - Xi Long; Pedro Fonseca 002; Reinder Haakma; Jérôme Foussier; Ronald M. Aarts (EMBC, 2014)

Analyzing respiratory effort amplitude for automated sleep stage classification. - Xi Long; Jérôme Foussier; Pedro Fonseca 002; Reinder Haakma; Ronald M. Aarts (Biomed. Signal Process. Control., 2014)

Spectral Boundary Adaptation on Heart Rate Variability for Sleep and Wake Classification. - Xi Long; Pedro Fonseca 002; Reinder Haakma; Ronald M. Aarts; Jérôme Foussier (Int. J. Artif. Intell. Tools, 2014)

Sleep and Wake Classification With Actigraphy and Respiratory Effort Using Dynamic Warping. - Xi Long; Pedro Fonseca 002; Jérôme Foussier; Reinder Haakma; Ronald M. Aarts (IEEE J. Biomed. Health Informatics, 2014)

Improving sleep/wake detection via boundary adaptation for respiratory spectral features. - Xi Long; Reinder Haakma; Jerome Rolink; Pedro Fonseca 002; Ronald M. Aarts (EMBC, 2015)

Effects of Between- and Within-Subject Variability on Autonomic Cardiorespiratory Activity during Sleep and Their Limitations on Sleep Staging: A Multilevel Analysis. - Xi Long; Reinder Haakma; Tim R. M. Leufkens; Pedro Fonseca 002; Ronald M. Aarts (Comput. Intell. Neurosci., 2015)

On the Reactivity of Sleep Monitoring with Diaries. - M. S. Goelema; M. M. Willems; Reinder Haakma; Panos Markopoulos 001 (HEALTHINF, 2016)

On Generation of Time-based Label Refinements. - Niek Tax; Emin Alasgarov; Natalia Sidorova; Reinder Haakma (CS&P, 2016)

Event Abstraction for Process Mining Using Supervised Learning Techniques. - Niek Tax; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (IntelliSys (1), 2016)

Log-based Evaluation of Label Splits for Process Models. - Niek Tax; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (KES, 2016)

Heuristic approaches for generating Local Process Models through log projections. - Niek Tax; Natalia Sidorova; Wil M. P. van der Aalst; Reinder Haakma (SSCI, 2016)

Mining local process models. - Niek Tax; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (J. Innov. Digit. Ecosyst., 2016)

Actigraphy-based sleep/wake detection for insomniacs. - Xi Long; Pedro Fonseca 002; Reinder Haakma; Ronald M. Aarts (BSN, 2017)

Time-Based Label Refinements to Discover More Precise Process Models. - Niek Tax; Emin Alasgarov; Natalia Sidorova; Wil M. P. van der Aalst; Reinder Haakma (CoRR, 2017)

Mining Process Model Descriptions of Daily Life through Event Abstraction. - Niek Tax; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (CoRR, 2017)

Detection of Nocturnal Slow Wave Sleep Based on Cardiorespiratory Activity in Healthy Adults. - Xi Long; Pedro Fonseca 002; Ronald M. Aarts; Reinder Haakma; Jerome Rolink; Steffen Leonhardt (IEEE J. Biomed. Health Informatics, 2017)

LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World. - Niek Tax; Natalia Sidorova; Wil M. P. van der Aalst; Reinder Haakma (Petri Nets, 2018)

Mining Local Process Models with Constraints Efficiently: Applications to the Analysis of Smart Home Data. - Niek Tax; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (Intelligent Environments, 2018)

Generating time-based label refinements to discover more precise process models. - Niek Tax; Emin Alasgarov; Natalia Sidorova; Reinder Haakma; Wil M. P. van der Aalst (J. Ambient Intell. Smart Environ., 2019)

The t linear mixed model: model formulation, identifiability and estimation. - Marta Regis; Alberto Brini; Nazanin Nooraee; Reinder Haakma; Edwin R. van den Heuvel (Commun. Stat. Simul. Comput., 2022)

Anomalous Change Point Detection Using Probabilistic Predictive Coding. - Roelof G. Hup; Julian P. Merkofer; Alex A. Bhogal; Ruud J. G. van Sloun; Reinder Haakma; Rik Vullings (CoRR, 2024)