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2020 – today
- 2024
[i8]Roelof G. Hup, Julian P. Merkofer, Alex A. Bhogal, Ruud J. G. van Sloun, Reinder Haakma, Rik Vullings:
Anomalous Change Point Detection Using Probabilistic Predictive Coding. CoRR abs/2405.15727 (2024)- 2022
- [j16]Marta Regis
, Alberto Brini, Nazanin Nooraee, Reinder Haakma, Edwin R. van den Heuvel:
The t linear mixed model: model formulation, identifiability and estimation. Commun. Stat. Simul. Comput. 51(5): 2318-2342 (2022)
2010 – 2019
- 2019
- [j15]Niek Tax, Emin Alasgarov, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst:
Generating time-based label refinements to discover more precise process models. J. Ambient Intell. Smart Environ. 11(2): 165-182 (2019) - 2018
- [c20]Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma:
LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World. Petri Nets 2018: 374-384 - [c19]Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst:
Mining Local Process Models with Constraints Efficiently: Applications to the Analysis of Smart Home Data. Intelligent Environments 2018: 56-63 - 2017
- [j14]Xi Long, Pedro Fonseca, Ronald M. Aarts, Reinder Haakma, Jerome Rolink, Steffen Leonhardt:
Detection of Nocturnal Slow Wave Sleep Based on Cardiorespiratory Activity in Healthy Adults. IEEE J. Biomed. Health Informatics 21(1): 123-133 (2017) - [c18]Xi Long, Pedro Fonseca, Reinder Haakma, Ronald M. Aarts:
Actigraphy-based sleep/wake detection for insomniacs. BSN 2017: 1-4 - [i7]Niek Tax, Emin Alasgarov, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma:
Time-Based Label Refinements to Discover More Precise Process Models. CoRR abs/1705.09359 (2017) - [i6]Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst:
Mining Process Model Descriptions of Daily Life through Event Abstraction. CoRR abs/1705.10202 (2017) - 2016
- [j13]Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst:
Mining local process models. J. Innov. Digit. Ecosyst. 3(2): 183-196 (2016) - [c17]M. S. Goelema, M. M. Willems, Reinder Haakma, Panos Markopoulos:
On the Reactivity of Sleep Monitoring with Diaries. HEALTHINF 2016: 240-247 - [c16]Niek Tax, Emin Alasgarov, Natalia Sidorova, Reinder Haakma:
On Generation of Time-based Label Refinements. CS&P 2016: 25-36 - [c15]Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst:
Event Abstraction for Process Mining Using Supervised Learning Techniques. IntelliSys (1) 2016: 251-269 - [c14]Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst:
Log-based Evaluation of Label Splits for Process Models. KES 2016: 63-72 - [c13]Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma:
Heuristic approaches for generating Local Process Models through log projections. SSCI 2016: 1-8 - [i5]Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst:
Mining Local Process Models. CoRR abs/1606.06066 (2016) - [i4]Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst:
Log-based Evaluation of Label Splits for Process Models. CoRR abs/1606.07259 (2016) - [i3]Niek Tax, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst:
Event Abstraction for Process Mining using Supervised Learning Techniques. CoRR abs/1606.07283 (2016) - [i2]Niek Tax, Emin Alasgarov, Natalia Sidorova, Reinder Haakma:
On Generation of Time-based Label Refinements. CoRR abs/1609.03333 (2016) - [i1]Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst, Reinder Haakma:
Heuristic Approaches for Generating Local Process Models through Log Projections. CoRR abs/1610.02876 (2016) - 2015
- [j12]Xi Long, Reinder Haakma, Tim R. M. Leufkens, Pedro Fonseca, Ronald M. Aarts:
Effects of Between- and Within-Subject Variability on Autonomic Cardiorespiratory Activity during Sleep and Their Limitations on Sleep Staging: A Multilevel Analysis. Comput. Intell. Neurosci. 2015: 583620:1-583620:17 (2015) - [c12]Xi Long, Reinder Haakma, Jerome Rolink, Pedro Fonseca, Ronald M. Aarts:
Improving sleep/wake detection via boundary adaptation for respiratory spectral features. EMBC 2015: 374-377 - 2014
- [j11]Xi Long, Jérôme Foussier, Pedro Fonseca, Reinder Haakma, Ronald M. Aarts:
Analyzing respiratory effort amplitude for automated sleep stage classification. Biomed. Signal Process. Control. 14: 197-205 (2014) - [j10]Xi Long, Pedro Fonseca, Reinder Haakma, Ronald M. Aarts, Jérôme Foussier:
Spectral Boundary Adaptation on Heart Rate Variability for Sleep and Wake Classification. Int. J. Artif. Intell. Tools 23(3) (2014) - [j9]Xi Long, Pedro Fonseca, Jérôme Foussier, Reinder Haakma, Ronald M. Aarts:
Sleep and Wake Classification With Actigraphy and Respiratory Effort Using Dynamic Warping. IEEE J. Biomed. Health Informatics 18(4): 1272-1284 (2014) - [c11]M. S. Goelema, Reinder Haakma, Panos Markopoulos:
Does Being Monitored during Sleep Affect People on a Cognitive and a Behavioral Level? HEALTHINF 2014: 27-33 - [c10]Xi Long, Pedro Fonseca, Reinder Haakma, Jérôme Foussier, Ronald M. Aarts:
Automatic detection of overnight deep sleep based on heart rate variability: A preliminary study. EMBC 2014: 50-53 - 2013
- [c9]Xi Long, Jérôme Foussier, Pedro Fonseca, Reinder Haakma, Ronald M. Aarts:
Respiration amplitude analysis for REM and NREM sleep classification. EMBC 2013: 5017-5020 - 2012
- [c8]Xi Long, Pedro Fonseca, Jérôme Foussier, Reinder Haakma, Ronald M. Aarts:
Using dynamic time warping for sleep and wake discrimination. BHI 2012: 886-889 - [c7]Xi Long, Pedro Fonseca, Reinder Haakma, Ronald M. Aarts, Jérôme Foussier:
Time-frequency analysis of heart rate variability for sleep and wake classification. BIBE 2012: 85-90
2000 – 2009
- 2009
- [j8]Willem-Paul Brinkman, Reinder Haakma, Don Bouwhuis:
The theoretical foundation and validity of a component-based usability questionnaire. Behav. Inf. Technol. 28(2): 121-137 (2009) - 2008
- [j7]Willem-Paul Brinkman, Reinder Haakma, Don Bouwhuis:
Component-Specific Usability Testing. IEEE Trans. Syst. Man Cybern. Part A 38(5): 1143-1155 (2008) - 2007
- [j6]Willem-Paul Brinkman, Reinder Haakma, Don Bouwhuis:
Towards an empirical method of efficiency testing of system parts: A methodological study. Interact. Comput. 19(3): 342-356 (2007) - [j5]Matthias Rauterberg, Michel Alders, Reinder Haakma:
How to Improve the Production Process for interactive TV with semi-formal Methods. J. Virtual Real. Broadcast. 4 (2007) - [c6]Nele Van den Ende, Lydia M. J. Meesters, Reinder Haakma:
Relation between DSIS and DSCQS for temporal and spatial video artifacts in a wireless home environment. Human Vision and Electronic Imaging 2007: 64920L - 2004
- [c5]Willem-Paul Brinkman, Reinder Haakma, Don Bouwhuis:
Usability Testing of Interaction Components: Taking the Message Exchange as a Measure of Usability. CADUI 2004: 157-168 - [c4]Willem-Paul Brinkman, Reinder Haakma, Don Bouwhuis:
Empirical Usability Testing in a Component-Based Environment: Improving Test Efficiency with Component-Specific Usability Measures. EHCI/DS-VIS 2004: 20-37 - 2001
- [c3]Willem-Paul Brinkman, Reinder Haakma, Don Bouwhuis:
Usability Evaluation of Component-Based User Interfaces. INTERACT 2001: 767-768
1990 – 1999
- 1999
- [j4]Reinder Haakma:
Towards explaining the behaviour of novice users. Int. J. Hum. Comput. Stud. 50(6): 557-570 (1999) - 1996
- [j3]J. H. Eggen, Reinder Haakma, Joyce H. D. M. Westerink:
Layered Protocols: hands-on experience. Int. J. Hum. Comput. Stud. 44(1): 45-72 (1996) - 1994
- [j2]Frits L. Engel, Peter Goossens, Reinder Haakma:
Improved efficiency through I- and E-feedback: a trackball with contextual force feedback. Int. J. Hum. Comput. Stud. 41(6): 949-974 (1994) - 1993
- [j1]Frits L. Engel, Reinder Haakma:
Expectations and Feedback in User-System Communication. Int. J. Man Mach. Stud. 39(3): 427-452 (1993) - [c2]J. H. Eggen, Reinder Haakma, Joyce H. D. M. Westerink:
Layered protocols in user interfaces for consumer equipment. INTERCHI Adjunct Proceedings 1993: 165-166 - 1992
- [c1]Reinder Haakma:
Contextual motor feedback in cursor control. CHI Posters and Short Talks 1992: 61
Coauthor Index
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last updated on 2024-06-25 21:54 CEST by the dblp team
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