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Steffen Pauws
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2020 – today
- 2024
- [p5]Emiel Krahmer, Felix J. Clouth, Saar Hommes, Ruben Vromans, Steffen Pauws, Jeroen K. Vermunt, Lonneke V. van de Poll-Franse, Xander Verbeek:
Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options. Commit2Data 2024: 3:1-3:20 - [i5]Niek den Teuling, Steffen Pauws, Edwin R. van den Heuvel:
latrend: A Framework for Clustering Longitudinal Data. CoRR abs/2402.14621 (2024) - 2023
- [j14]Niek den Teuling, Steffen C. Pauws, Edwin R. van den Heuvel:
A comparison of methods for clustering longitudinal data with slowly changing trends. Commun. Stat. Simul. Comput. 52(3): 621-648 (2023) - 2022
- [j13]Felix J. Clouth, Steffen Pauws, Floortje Mols, Jeroen K. Vermunt:
A new three-step method for using inverse propensity weighting with latent class analysis. Adv. Data Anal. Classif. 16(2): 351-371 (2022) - [j12]Ruben D. Vromans, Saar Hommes, Felix J. Clouth, Deborah N. N. Lo-Fo-Wong, Xander Verbeek, Lonneke V. van de Poll-Franse, Steffen Pauws, Emiel Krahmer:
Need for numbers: assessing cancer survivors' needs for personalized and generic statistical information. BMC Medical Informatics Decis. Mak. 22(1): 260 (2022) - 2021
- [i4]Niek den Teuling, Steffen Pauws, Edwin R. van den Heuvel:
Clustering of longitudinal data: A tutorial on a variety of approaches. CoRR abs/2111.05469 (2021) - 2020
- [j11]Sergio Consoli, Jan H. M. Korst, Steffen Pauws, Gijs Geleijnse:
Improved metaheuristics for the quartet method of hierarchical clustering. J. Glob. Optim. 78(2): 241-270 (2020) - [j10]Ruben D. Vromans, Steffen C. Pauws, Nadine Bol, Lonneke V. van de Poll-Franse, Emiel J. Krahmer:
Communicating tailored risk information of cancer treatment side effects: Only words or also numbers? BMC Medical Informatics Decis. Mak. 20(1): 277 (2020) - [c17]Simone Balloccu, Steffen Pauws, Ehud Reiter:
A NLG Framework for User Tailoring and Profiling in Healthcare. SmartPhil@IUI 2020: 13-32 - [i3]Cliff Laschet, Jorn op den Buijs, Mark H. M. Winands, Steffen Pauws:
Service Selection using Predictive Models and Monte-Carlo Tree Search. CoRR abs/2002.04852 (2020)
2010 – 2019
- 2019
- [j9]Sergio Consoli, Jan H. M. Korst, Gijs Geleijnse, Steffen Pauws:
An exact algorithm for the minimum quartet tree cost problem. 4OR 17(4): 401-425 (2019) - [p4]Steffen Pauws, Albert Gatt, Emiel Krahmer, Ehud Reiter:
Making Effective Use of Healthcare Data Using Data-to-Text Technology. Data Science for Healthcare 2019: 119-145 - [p3]Ana Kostadinovska, Muhammad Asim, Daniel Pletea, Steffen Pauws:
Overview of Data Linkage Methods for Integrating Separate Health Data Sources. Data Science for Healthcare 2019: 217-238 - [p2]Dieter Van de Craen, Daniele De Massari, Tobias Wirth, Jason Gwizdala, Steffen Pauws:
Leveraging Financial Analytics for Healthcare Organizations in Value-Based Care Environments. Data Science for Healthcare 2019: 347-367 - 2018
- [c16]Sergio Consoli, Jan H. M. Korst, Steffen Pauws, Gijs Geleijnse:
Improved Variable Neighbourhood Search Heuristic for Quartet Clustering. ICVNS 2018: 1-12 - [i2]Sergio Consoli, Jan H. M. Korst, Gijs Geleijnse, Steffen Pauws:
On the minimum quartet tree cost problem. CoRR abs/1807.00566 (2018) - [i1]Steffen Pauws, Albert Gatt, Emiel Krahmer, Ehud Reiter:
Making effective use of healthcare data using data-to-text technology. CoRR abs/1808.03507 (2018) - 2016
- [c15]Pantelis Natsiavas, Dimitris Filos, Ioanna Chouvarda, Christos Maramis, Remco van der Heijden, Helen Schonenberg, Steffen Pauws, Cristina Bescos, Nicos Maglaveras:
A data model to support the evaluation of coordinating care EU programmes in the context of the ACT programme. EMBC 2016: 2500-2503 - 2015
- [j8]Gert-Jan de Vries, Steffen C. Pauws, Michael Biehl:
Insightful stress detection from physiology modalities using Learning Vector Quantization. Neurocomputing 151: 873-882 (2015) - [j7]Gert-Jan de Vries, Paul Lemmens, Dirk Brokken, Steffen Pauws, Michael Biehl:
Towards Emotion Classification Using Appraisal Modeling. Int. J. Synth. Emot. 6(1): 40-59 (2015) - [c14]Gert-Jan de Vries, Steffen Pauws, Michael Biehl:
Facial Expression Recognition Using Learning Vector Quantization. CAIP (2) 2015: 760-771 - 2014
- [c13]Helen Schonenberg, Steffen Pauws, Cristina Bescos, Christoph Westerteicher, Christos Maramis, Dimitris Filos, Ioanna Chouvarda, Nicos Maglaveras, John G. F. Cleland, Josep Roca:
Evaluation Framework for Care Coordination & Telehealth Deployment. HEALTHINF 2014: 358-365 - [c12]Pantelis Natsiavas, Dimitris Filos, Christos Maramis, Ioanna Chouvarda, Helen Schonenberg, Steffen Pauws, Cristina Bescos, Christoph Westerteicher, Nicos Maglaveras:
A Computational Infrastructure for Evaluating Care-coordination and Telehealth Services in Europe. MIE 2014: 216-220 - 2011
- [j6]Bram Hendriks, Bernt Meerbeek, Stella Boess, Steffen Pauws, Marieke Sonneveld:
Robot Vacuum Cleaner Personality and Behavior. Int. J. Soc. Robotics 3(2): 187-195 (2011) - [p1]Xi Long, Steffen Pauws, Marten Pijl, Joyca Lacroix, Annelies Goris, Ronald M. Aarts:
Predicting Daily Physical Activity in a Lifestyle Intervention Program. Behaviour Monitoring and Interpretation 2011: 131-146 - 2010
- [j5]Sergio Consoli, Kenneth Darby-Dowman, Gijs Geleijnse, Jan H. M. Korst, Steffen Pauws:
Heuristic Approaches for the Quartet Method of Hierarchical Clustering. IEEE Trans. Knowl. Data Eng. 22(10): 1428-1443 (2010)
2000 – 2009
- 2008
- [j4]Steffen Pauws, Wim Verhaegh, Mark Vossen:
Music playlist generation by adapted simulated annealing. Inf. Sci. 178(3): 647-662 (2008) - [c11]Gijs Geleijnse, Dragan Sekulovski, Jan H. M. Korst, Steffen Pauws, Bram Kater, Fabio Vignoli:
Enriching music with synchronized lyrics, images and colored lights. AMBI-SYS 2008: 1 - 2007
- [c10]Marco Tiemann, Steffen Pauws, Fabio Vignoli:
Ensemble Learning for Hybrid Music Recommendation. ISMIR 2007: 179-180 - [c9]Marco Tiemann, Steffen Pauws:
Towards ensemble learning for hybrid music recommendation. RecSys 2007: 177-178 - 2006
- [j3]Tom De Mulder, Jean-Pierre Martens, Steffen Pauws, Fabio Vignoli, Micheline Lesaffre, Marc Leman, Bernard De Baets, Hans E. De Meyer:
Factors Affecting Music Retrieval in Query-by-Melody. IEEE Trans. Multim. 8(4): 728-739 (2006) - [c8]Steffen Pauws, Wim Verhaegh, Mark Vossen:
Fast Generation of Optimal Music Playlists using Local Search. ISMIR 2006: 138-143 - 2005
- [j2]G. Wijnalda, Steffen Pauws, Fabio Vignoli, Heiner Stuckenschmidt:
A personalized music system for motivation in sport performance. IEEE Pervasive Comput. 4(3): 26-32 (2005) - [c7]Fabio Vignoli, Steffen Pauws:
A Music Retrieval System Based on User Driven Similarity and Its Evaluation. ISMIR 2005: 272-279 - [c6]Steffen Pauws, Sander van de Wijdeven:
User Evaluation of a New Interactive Playlist Generation Concept. ISMIR 2005: 638-643 - 2004
- [c5]Steffen Pauws:
Musical key extraction from audio. ISMIR 2004 - 2003
- [c4]Steffen Pauws:
Effects of song familiarity, singing training and recent song exposure on the singing of melodies. ISMIR 2003 - 2002
- [c3]Steffen Pauws:
CubyHum: a fully operational "query by humming" system. ISMIR 2002 - [c2]Steffen Pauws, Berry Eggen:
PATS: Realization and user evaluation of an automatic playlist generator. ISMIR 2002 - 2000
- [c1]Steffen Pauws, Don Bouwhuis, Berry Eggen:
Programming and enjoying music with your eyes closed. CHI 2000: 376-383
1990 – 1999
- 1996
- [j1]Steffen Pauws, Yves Kamp, Lei F. Willems:
A hierarchical method of automatic speech segmentation for synthesis applications. Speech Commun. 19(3): 207-220 (1996)
Coauthor Index
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