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ORCIDMaurits Kaptein
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- affiliation: Tilburg University
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2020 – today
- 2024
[c33]Danil Provodin, Maurits Clemens Kaptein, Mykola Pechenizkiy:
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling. ICML 2024- [i13]Danil Provodin, Maurits Kaptein, Mykola Pechenizkiy:
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling. CoRR abs/2405.19017 (2024) - [i12]Danil Provodin, Bram van den Akker, Christina Katsimerou, Maurits Kaptein, Mykola Pechenizkiy:
Rethinking Knowledge Transfer in Learning Using Privileged Information. CoRR abs/2408.14319 (2024) - 2023
- [i11]Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein:
Provably Efficient Exploration in Constrained Reinforcement Learning: Posterior Sampling Is All You Need. CoRR abs/2309.15737 (2023) - 2022
- [b1]Maurits Kaptein, Edwin R. van den Heuvel:
Statistics for Data Scientists - An Introduction to Probability, Statistics, and Data Analysis. Undergraduate Topics in Computer Science, Springer 2022, ISBN 978-3-030-10530-3, pp. 1-321 - [c32]Raluca-Maria Hampau, Maurits Kaptein, Robin van Emden, Thomas Rost, Ivano Malavolta
:
An empirical study on the Performance and Energy Consumption of AI Containerization Strategies for Computer-Vision Tasks on the Edge. EASE 2022: 50-59 - [c31]Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein:
The Impact of Batch Learning in Stochastic Linear Bandits. ICDM 2022: 1149-1154 - [i10]Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein:
The Impact of Batch Learning in Stochastic Linear Bandits. CoRR abs/2202.06657 (2022) - [i9]Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein:
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning. CoRR abs/2209.03596 (2022) - 2021
- [i8]Danil Provodin, Pratik Gajane, Mykola Pechenizkiy, Maurits Kaptein:
The Impact of Batch Learning in Stochastic Bandits. CoRR abs/2111.02071 (2021) - 2020
- [j19]Reza Mohammadi, Matthew T. Pratola, Maurits Kaptein:
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models. J. Mach. Learn. Res. 21: 201:1-201:26 (2020) - [c30]Zoltán Puha, Maurits Kaptein, Aurélie Lemmens:
Batch Mode Active Learning for Individual Treatment Effect Estimation. ICDM (Workshops) 2020: 859-866 - [c29]Bas Willemse, Maurits Kaptein, Nikolaos Batalas, Fleur Hasaart:
Health Telescope: System Design for Longitudinal Data Collection Using Mobile Applications. MobiHealth 2020: 145-165
2010 – 2019
- 2019
- [j18]Lianne Ippel, Maurits Clemens Kaptein, Jeroen K. Vermunt:
Online estimation of individual-level effects using streaming shrinkage factors. Comput. Stat. Data Anal. 137: 16-32 (2019) - [j17]Norbert A. Streitz, Dimitris Charitos, Maurits Kaptein, Marc Böhlen:
Grand challenges for ambient intelligence and implications for design contexts and smart societies. J. Ambient Intell. Smart Environ. 11(1): 87-107 (2019) - [j16]Parvaneh Parvin, Stefano Chessa, Maurits Kaptein, Fabio Paternò:
Personalized real-time anomaly detection and health feedback for older adults. J. Ambient Intell. Smart Environ. 11(5): 453-469 (2019) - [j15]Maurits Kaptein:
Personalization in biomedical-informatics: Methodological considerations and recommendations. J. Biomed. Informatics 90 (2019) - [i7]Reza Mohammadi, Matthew T. Pratola, Maurits Kaptein:
Continuous-Time Birth-Death MCMC for Bayesian Regression Tree Models. CoRR abs/1904.09339 (2019) - [i6]Jules Kruijswijk, Petri Parvinen, Maurits Kaptein:
Exploring Offline Policy Evaluation for the Continuous-Armed Bandit Problem. CoRR abs/1908.07808 (2019) - 2018
- [e2]Rita Orji, Maurits Kaptein, Jaap Ham, Kiemute Oyibo, Joshua C. Nwokeji:
Proceedings of the Third International Workshop on Personalization in Persuasive Technology co-located with the 13th International Conference on Persuasive Technology, PPT@PERSUASIVE 2018, Waterloo, Canada, April 16, 2018. CEUR Workshop Proceedings 2089, CEUR-WS.org 2018 [contents] - [i5]Maurits Kaptein, Paul Ketelaar:
Maximum likelihood estimation of a finite mixture of logistic regression models in a continuous data stream. CoRR abs/1802.10529 (2018) - [i4]Robin van Emden, Maurits Kaptein:
contextual: Evaluating Contextual Multi-Armed Bandit Problems in R. CoRR abs/1811.01926 (2018) - 2017
- [c28]Petri Parvinen, Maurits Kaptein, Essi Pöyry, Juho Hamari:
Introduction to Customer Analytics and Data-Led Omnichannel Commerce Minitrack. HICSS 2017: 1 - [c27]Essi Pöyry, Ninni Hietaniemi, Petri Parvinen, Juho Hamari, Maurits Kaptein:
Personalized Product Recommendations: Evidence from the Field. HICSS 2017: 1-9 - [e1]Rita Orji, Michaela Reisinger, Marc Busch, Arie Dijkstra, Maurits Kaptein, Elke E. Mattheiss:
Proceedings of the Second International Workshop on Personalization in Persuasive Technology co-located with the 12th International Conference on Persuasive Technology, PPT@PERSUASIVE 2017, Amsterdam, The Netherlands, April 4, 2017. CEUR Workshop Proceedings 1833, CEUR-WS.org 2017 [contents] - 2016
- [j14]Lianne Ippel, Maurits Clemens Kaptein, Jeroen K. Vermunt:
Estimating random-intercept models on data streams. Comput. Stat. Data Anal. 104: 169-182 (2016) - [c26]J. Siebelink, Peter van der Putten, Maurits Clemens Kaptein:
Do Warriors, Villagers and Scientists Decide Differently? The Impact of Role on Message Framing. INTETAIN 2016: 167-177 - [c25]Shlomo Berkovsky, Maurits Kaptein, Massimo Zancanaro:
Adaptivity and Personalization in Persuasive Technologies. PPT@PERSUASIVE 2016: 13-25 - [i3]Maurits Kaptein, Jules Kruijswijk:
StreamingBandit: Developing Adaptive Persuasive Systems. CoRR abs/1602.06700 (2016) - 2015
- [j13]Petri Parvinen, Harri Oinas-Kukkonen, Maurits Kaptein:
Special section on e-selling and online engagement. Electron. Commer. Res. Appl. 14(4): 213 (2015) - [j12]Petri Parvinen, Harri Oinas-Kukkonen, Maurits Kaptein:
E-selling: A new avenue of research for service design and online engagement. Electron. Commer. Res. Appl. 14(4): 214-221 (2015) - [j11]Maurits Kaptein, Petri Parvinen:
Advancing E-Commerce Personalization: Process Framework and Case Study. Int. J. Electron. Commer. 19(3): 7-33 (2015) - [j10]Maurits Kaptein, Petri Parvinen, Essi Pöyry:
The Danger of Engagement: Behavioral Observations of Online Community Activity and Service Spending in the Online Gaming Context. Int. J. Electron. Commer. 20(1): 50-75 (2015) - [j9]Maurits Kaptein, Panos Markopoulos, Boris E. R. de Ruyter, Emile H. L. Aarts:
Personalizing persuasive technologies: Explicit and implicit personalization using persuasion profiles. Int. J. Hum. Comput. Stud. 77: 38-51 (2015) - [c24]Petri Parvinen, Maurits Kaptein, Harri Oinas-Kukkonen, Christy M. K. Cheung:
Introduction to E-Commerce, Engagement, and Social Influence Minitrack. HICSS 2015: 3257 - [c23]Maurits Clemens Kaptein:
Formalizing Customization in Persuasive Technologies. PERSUASIVE 2015: 27-38 - [i2]Maurits Kaptein, Davide Ianuzzi:
Lock in Feedback in Sequential Experiment. CoRR abs/1502.00598 (2015) - 2014
- [j8]Maurits Kaptein, Deonne Castaneda, Nicole Fernandez, Clifford Nass:
Extending the Similarity-Attraction Effect: The Effects of When-Similarity in Computer-Mediated Communication. J. Comput. Mediat. Commun. 19(3): 342-357 (2014) - [j7]Maurits Kaptein:
RStorm: Developing and Testing Streaming Algorithms in R. R J. 6(1): 123 (2014) - [c22]Gary Hsieh, Sean A. Munson, Maurits Clemens Kaptein, Harri Oinas-Kukkonen, Oded Nov:
Personalizing behavior change technologies. CHI Extended Abstracts 2014: 107-110 - [c21]Petri Parvinen, Harri Oinas-Kukkonen, Maurits Kaptein:
Introduction to Customer Engagement and Webflow User Experience Minitrack. HICSS 2014: 3014 - [c20]Maurits Kaptein, Petri Parvinen:
Real-Time Adaptation of Influence Strategies in Online Selling. HICSS 2014: 3100-3109 - [i1]Dean Eckles, Maurits Kaptein:
Thompson sampling with the online bootstrap. CoRR abs/1410.4009 (2014) - 2013
- [j6]Maurits Kaptein, Aart van Halteren:
Adaptive persuasive messaging to increase service retention: using persuasion profiles to increase the effectiveness of email reminders. Pers. Ubiquitous Comput. 17(6): 1173-1185 (2013) - [c19]Maurits Kaptein, Clifford Nass, Petri Parvinen, Panos Markopoulos:
Nice to Know You: Familiarity and Influence in Social Networks. HICSS 2013: 2745-2752 - [c18]Maurits Kaptein, Petri Parvinen, Essi Pöyry:
Theory vs. Data-Driven Learning in Future E-Commerce. HICSS 2013: 2763-2772 - 2012
- [j5]Maurits Kaptein:
Personalized persuasion in Ambient Intelligence. J. Ambient Intell. Smart Environ. 4(3): 279-280 (2012) - [j4]Maurits Kaptein, Boris E. R. de Ruyter, Panos Markopoulos, Emile H. L. Aarts:
Adaptive Persuasive Systems: A Study of Tailored Persuasive Text Messages to Reduce Snacking. ACM Trans. Interact. Intell. Syst. 2(2): 10:1-10:25 (2012) - [c17]Maurits Kaptein, Judy Robertson:
Rethinking statistical analysis methods for CHI. CHI 2012: 1105-1114 - [c16]Jerry Lindholm, Maurits Kaptein, Petri Parvinen:
The Tradeoff between Online Community Activity and Consumption: Evidence from Online Poker. HICSS 2012: 3238-3246 - [c15]Matthijs Jan Zwinderman, Azadeh Shirzad, Xinyu Ma, Prina Bajracharya, Hans Sandberg, Maurits Clemens Kaptein:
Phone Row: A Smartphone Game Designed to Persuade People to Engage in Moderate-Intensity Physical Activity. PERSUASIVE 2012: 55-66 - 2011
- [j3]Maurits Kaptein, Panos Markopoulos, Boris E. R. de Ruyter, Emile H. L. Aarts:
Two acts of social intelligence: the effects of mimicry and social praise on the evaluation of an artificial agent. AI Soc. 26(3): 261-273 (2011) - [j2]Maurits Kaptein, Dean Eckles, Janet Davis:
Envisioning persuasion profiles: challenges for public policy and ethical practice. Interactions 18(5): 66-69 (2011) - [c14]Ryo Sakai, Sarah Van Peteghem, Leoni van de Sande, Peter Banach, Maurits Kaptein:
Personalized Persuasion in Ambient Intelligence: The APStairs System. AmI 2011: 205-209 - [c13]Maurits Kaptein, Steven Duplinsky, Panos Markopoulos:
Means based adaptive persuasive systems. CHI 2011: 335-344 - [c12]Samir Chatterjee, Joseph Petraglia, Harri Oinas-Kukkonen, Maurits Kaptein:
Panel: Persuasive technology for public health in the developed and developing world. ECIS 2011 - [c11]Maurits Kaptein:
Adaptive persuasive messages in an e-commerce setting: the use of persuasion profiles. ECIS 2011: 183 - 2010
- [j1]Maurits Clemens Kaptein, Panos Markopoulos, Boris E. R. de Ruyter, Emile H. L. Aarts:
Persuasion in ambient intelligence. J. Ambient Intell. Humaniz. Comput. 1(1): 43-56 (2010) - [c10]Tomaso Scherini, Paulo Melo, Toon van Craenendonck, Wenzhu Zou, Maurits Kaptein:
Enhancing the sleeping quality of partners living apart. Conference on Designing Interactive Systems 2010: 171-174 - [c9]Maurits Clemens Kaptein, Clifford Nass, Panos Markopoulos:
Powerful and consistent analysis of likert-type ratingscales. CHI 2010: 2391-2394 - [c8]Maurits Kaptein, Dean Eckles:
Selecting Effective Means to Any End: Futures and Ethics of Persuasion Profiling. PERSUASIVE 2010: 82-93 - [c7]Maurits Kaptein, Joyca Lacroix, Privender Saini:
Individual Differences in Persuadability in the Health Promotion Domain. PERSUASIVE 2010: 94-105
2000 – 2009
- 2009
- [c6]Iris Soute, Maurits Kaptein, Panos Markopoulos:
Evaluating outdoor play for children: virtual vs. tangible game objects in pervasive games. IDC 2009: 250-253 - [c5]Maurits Kaptein, Panos Markopoulos, Boris E. R. de Ruyter, Emile H. L. Aarts:
Can You Be Persuaded? Individual Differences in Susceptibility to Persuasion. INTERACT (1) 2009: 115-118 - [c4]Maurits Kaptein:
Measuring the Subjective User eXperience. INTERACT (2) 2009: 944-945 - 2007
- [c3]Natalia A. Romero, Agnieszka Matysiak Szóstek, Maurits Kaptein, Panos Markopoulos:
Behaviours and Preferences when Coordinating Mediated Interruptions: Social and System influence. ECSCW 2007: 351-370 - [c2]Abdullah Al Mahmud, Maurits Kaptein, Oliver Moran, Evelien van de Garde-Perik, Panos Markopoulos:
Understanding Compliance to Privacy Guidelines Using Text-and Video-Based Scenarios. INTERACT (2) 2007: 156-168 - [c1]Maurits Clemens Kaptein, Karin Slegers, H. Nelissen, A. Weisscher, Jacques M. B. Terken:
The digital workbook; using web 2.0 for generative research purposes. Mobile HCI 2007: 440-443
Coauthor Index
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