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ORCIDArno J. Knobbe
Person information
- affiliation: University of Leiden, The Netherlands
- affiliation (former): Utrecht University, The Netherlands
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2020 – today
- 2023
[j19]Arie-Willem de Leeuw
, Mathieu Heijboer, Tim Verdonck, Arno J. Knobbe, Steven Latré:
Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring. Data Min. Knowl. Discov. 37(3): 1125-1153 (2023)- 2022
- [j18]Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, P. Eline Slagboom, Marian Beekman, Arno J. Knobbe:
A recurrent neural network architecture to model physical activity energy expenditure in older people. Data Min. Knowl. Discov. 36(1): 477-512 (2022) - [j17]Arie-Willem de Leeuw, Rick van Baar, Arno J. Knobbe, Stephan van der Zwaard:
Modeling Match Performance in Elite Volleyball Players: Importance of Jump Load and Strength Training Characteristics. Sensors 22(20): 7996 (2022) - [c43]Arie-Willem de Leeuw, Tobias Oberkofler, Mathieu Heijboer, Arno J. Knobbe:
Athlete Monitoring in Professional Road Cycling Using Similarity Search on Time Series Data. MLSA@PKDD/ECML 2022: 115-126 - 2021
- [j16]Marvin Meeng, Arno J. Knobbe:
For real: a thorough look at numeric attributes in subgroup discovery. Data Min. Knowl. Discov. 35(1): 158-212 (2021) - [i4]David Bernhard Steffelbauer, E. J. M. Blokker, Steven G. Buchberger, Arno J. Knobbe, Edo Abraham:
Dynamic Time Warping Clustering to Discover Socio-Economic Characteristics in Smart Water Meter Data. CoRR abs/2112.13778 (2021) - 2020
- [j15]Marvin Meeng, Harm de Vries, Peter A. Flach, Siegfried Nijssen, Arno J. Knobbe:
Uni- and multivariate probability density models for numeric subgroup discovery. Intell. Data Anal. 24(6): 1403-1439 (2020) - [j14]Stylianos Paraschiakos, Ricardo Cachucho, Matthijs Moed, Diana van Heemst, Simon Mooijaart, P. Eline Slagboom, Arno J. Knobbe, Marian Beekman:
Activity recognition using wearable sensors for tracking the elderly. User Model. User Adapt. Interact. 30(3): 567-605 (2020) - [c42]Arie-Willem de Leeuw, Mathieu Heijboer, Mathijs Hofmijster, Stephan van der Zwaard, Arno J. Knobbe:
Time Series Regression in Professional Road Cycling. DS 2020: 689-703 - [e5]Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11906, Springer 2020, ISBN 978-3-030-46149-2 [contents] - [e4]Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11907, Springer 2020, ISBN 978-3-030-46146-1 [contents] - [e3]Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11908, Springer 2020, ISBN 978-3-030-46132-4 [contents] - [i3]Stylianos Paraschiakos, Cláudio Rebelo de Sá, Jeremiah Okai, P. Eline Slagboom, Marian Beekman, Arno J. Knobbe:
RNNs on Monitoring Physical Activity Energy Expenditure in Older People. CoRR abs/2006.01169 (2020)
2010 – 2019
- 2019
- [c41]Jeremiah Okai, Stylianos Paraschiakos, Marian Beekman, Arno J. Knobbe, Cláudio Rebelo de Sá:
Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks. EMBC 2019: 2486-2491 - [c40]Laurentius Antonius Meerhoff, Floris R. Goes, Arie-Willem de Leeuw, Arno J. Knobbe:
Exploring Successful Team Tactics in Soccer Tracking Data. PKDD/ECML Workshops (2) 2019: 235-246 - [c39]Arie-Willem de Leeuw, Aldo Hoekstra, Laurentius Antonius Meerhoff, Arno J. Knobbe:
Tactical Analyses in Professional Tennis. PKDD/ECML Workshops (2) 2019: 258-269 - [i2]Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe:
Preference rules for label ranking: Mining patterns in multi-target relations. CoRR abs/1903.08504 (2019) - 2018
- [j13]Arie-Willem de Leeuw, Laurentius Antonius Meerhoff, Arno J. Knobbe:
Effects of Pacing Properties on Performance in Long-Distance Running. Big Data 6(4): 248-261 (2018) - [j12]Cláudio Rebelo de Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe:
Preference rules for label ranking: Mining patterns in multi-target relations. Inf. Fusion 40: 112-125 (2018) - [j11]Cláudio Rebelo de Sá, Wouter Duivesteijn, Paulo J. Azevedo, Alípio Mário Jorge, Carlos Soares, Arno J. Knobbe:
Discovering a taste for the unusual: exceptional models for preference mining. Mach. Learn. 107(11): 1775-1807 (2018) - [c38]Ricardo Cachucho, Stylianos Paraschiakos, Kaihua Liu, Benjamin van der Burgh, Arno J. Knobbe:
ClaRe: Classification and Regression Tool for Multivariate Time Series. ECML/PKDD (3) 2018: 682-686 - [i1]Dylan te Lindert, Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe:
Smart energy management as a means towards improved energy efficiency. CoRR abs/1802.04128 (2018) - 2017
- [j10]Arno J. Knobbe, Jac Orie, Nico Hofman, Benjamin van der Burgh, Ricardo Cachucho:
Sports analytics for professional speed skating. Data Min. Knowl. Discov. 31(6): 1872-1902 (2017) - [j9]Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo Cortez:
Label Ranking Forests. Expert Syst. J. Knowl. Eng. 34(1) (2017) - [c37]Ricardo Cachucho, Siegfried Nijssen, Arno J. Knobbe:
Biclustering Multivariate Time Series. IDA 2017: 27-39 - 2016
- [j8]Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe:
Exceptional Model Mining - Supervised descriptive local pattern mining with complex target concepts. Data Min. Knowl. Discov. 30(1): 47-98 (2016) - [j7]Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe:
Entropy-based discretization methods for ranking data. Inf. Sci. 329: 921-936 (2016) - [j6]Shengfa Miao, Ugo Vespier, Ricardo Cachucho, Marvin Meeng, Arno J. Knobbe:
Predefined pattern detection in large time series. Inf. Sci. 329: 950-964 (2016) - [c36]Cláudio Rebelo de Sá, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe:
Exceptional Preferences Mining. DS 2016: 3-18 - [c35]Ricardo Cachucho, Kaihua Liu, Siegfried Nijssen, Arno J. Knobbe:
Bipeline: A Web-Based Visualization Tool for Biclustering of Multivariate Time Series. ECML/PKDD (3) 2016: 12-16 - [e2]Henrik Boström, Arno J. Knobbe, Carlos Soares, Panagiotis Papapetrou:
Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings. Lecture Notes in Computer Science 9897, 2016, ISBN 978-3-319-46348-3 [contents] - 2015
- [j5]Rob M. Konijn, Wouter Duivesteijn, Marvin Meeng, Arno J. Knobbe:
Cost-based quality measures in subgroup discovery. J. Intell. Inf. Syst. 45(3): 337-355 (2015) - [j4]Michael Mampaey, Siegfried Nijssen, Ad Feelders, Rob M. Konijn, Arno J. Knobbe:
Efficient algorithms for finding optimal binary features in numeric and nominal labeled data. Knowl. Inf. Syst. 42(2): 465-492 (2015) - [c34]Cláudio Rebelo de Sá, Carla Rebelo, Carlos Soares, Arno J. Knobbe:
Distance-Based Decision Tree Algorithms for Label Ranking. EPIA 2015: 525-534 - [c33]Miao He, Ricardo Cachucho, Arno J. Knobbe:
Football Player's Performance and Market Value. MLSA@PKDD/ECML 2015: 87-95 - [p1]Kleanthi Georgala, Benjamin van der Burgh, Marvin Meeng, Arno J. Knobbe:
Record Linkage in Medieval and Early Modern Text. Population Reconstruction 2015: 173-195 - 2014
- [j3]Nanlin Jin, Peter A. Flach, Tom Wilcox, Royston Sellman, Joshua Thumim, Arno J. Knobbe:
Subgroup Discovery in Smart Electricity Meter Data. IEEE Trans. Ind. Informatics 10(2): 1327-1336 (2014) - [c32]Ricardo Cachucho, Marvin Meeng, Ugo Vespier, Siegfried Nijssen, Arno J. Knobbe:
Mining multivariate time series with mixed sampling rates. UbiComp 2014: 413-423 - [c31]Harm de Vries, George Azzopardi, André Koelewijn, Arno J. Knobbe:
Parametric Nonlinear Regression Models for Dike Monitoring Systems. IDA 2014: 345-355 - [c30]Jouke Witteveen, Wouter Duivesteijn, Arno J. Knobbe, Peter Grünwald:
RealKrimp - Finding Hyperintervals that Compress with MDL for Real-Valued Data. IDA 2014: 368-379 - [c29]Marvin Meeng, Wouter Duivesteijn, Arno J. Knobbe:
ROCsearch - An ROC-Guided Search Strategy for Subgroup Discovery. LWA 2014: 180 - [c28]Marvin Meeng, Wouter Duivesteijn, Arno J. Knobbe:
ROCsearch - An ROC-guided Search Strategy for Subgroup Discovery. SDM 2014: 704-712 - 2013
- [c27]Ugo Vespier, Siegfried Nijssen, Arno J. Knobbe:
Mining characteristic multi-scale motifs in sensor-based time series. CIKM 2013: 2393-2398 - [c26]Helen Petrie, Sarah Rees Jones, Christopher Power, Roger Evans, Lynne J. Cahill, Arno J. Knobbe, Michael Gervers, Robin Sutherland-Harris, Adam Kosto, Jon Crump:
ChartEx: a project to extract information from the content of medieval charters and create a virtual workbench for historians to work with this information. DH 2013: 340-342 - [c25]Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo J. Azevedo, Alípio Mário Jorge:
Multi-interval Discretization of Continuous Attributes for Label Ranking. Discovery Science 2013: 155-169 - [c24]Rob M. Konijn, Wouter Duivesteijn, Wojtek Kowalczyk, Arno J. Knobbe:
Discovering Local Subgroups, with an Application to Fraud Detection. PAKDD (1) 2013: 1-12 - [c23]Rob M. Konijn, Wouter Duivesteijn, Marvin Meeng, Arno J. Knobbe:
Cost-Based Quality Measures in Subgroup Discovery. PAKDD Workshops 2013: 404-415 - 2012
- [j2]Matthijs van Leeuwen, Arno J. Knobbe:
Diverse subgroup set discovery. Data Min. Knowl. Discov. 25(2): 208-242 (2012) - [c22]Geraldina Ribeiro, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe:
Multilayer Perceptron for Label Ranking. ICANN (2) 2012: 25-32 - [c21]Michael Mampaey, Siegfried Nijssen, Ad Feelders, Arno J. Knobbe:
Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data. ICDM 2012: 499-508 - [c20]Wouter Duivesteijn, Eneldo Loza Mencía, Johannes Fürnkranz, Arno J. Knobbe:
Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. IDA 2012: 114-125 - [c19]Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe:
Different slopes for different folks: mining for exceptional regression models with cook's distance. KDD 2012: 868-876 - [c18]Ugo Vespier, Arno J. Knobbe, Siegfried Nijssen, Joaquin Vanschoren:
MDL-Based Analysis of Time Series at Multiple Time-Scales. ECML/PKDD (2) 2012: 371-386 - 2011
- [c17]Wouter Duivesteijn, Arno J. Knobbe:
Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery. ICDM 2011: 151-160 - [c16]Ugo Vespier, Arno J. Knobbe, Joaquin Vanschoren, Shengfa Miao, Arne Koopman, Bas Obladen, Carlos Bosma:
Traffic Events Modeling for Structural Health Monitoring. IDA 2011: 376-387 - [c15]Matthijs van Leeuwen, Arno J. Knobbe:
Non-redundant Subgroup Discovery in Large and Complex Data. ECML/PKDD (3) 2011: 459-474 - 2010
- [j1]Johannes Fürnkranz, Arno J. Knobbe:
Guest Editorial: Global modeling using local patterns. Data Min. Knowl. Discov. 21(1): 1-8 (2010) - [c14]Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen:
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach. ICDM 2010: 158-167 - [c13]Arno J. Knobbe, Hendrik Blockeel, Arne Koopman, Toon Calders, Bas Obladen, Carlos Bosma, Hessel Galenkamp, Eddy Koenders, Joost N. Kok:
InfraWatch: Data Management of Large Systems for Monitoring Infrastructural Performance. IDA 2010: 91-102
2000 – 2009
- 2009
- [c12]Richard Frank, Martin Ester, Arno J. Knobbe:
A multi-relational approach to spatial classification. KDD 2009: 309-318 - 2008
- [c11]Dennis Leman, Ad Feelders, Arno J. Knobbe:
Exceptional Model Mining. ECML/PKDD (2) 2008: 1-16 - 2006
- [c10]Arno J. Knobbe, Eric K. Y. Ho:
Maximally informative k-itemsets and their efficient discovery. KDD 2006: 237-244 - [c9]Arno J. Knobbe, Eric K. Y. Ho:
Pattern Teams. PKDD 2006: 577-584 - 2005
- [c8]Arno J. Knobbe, Eric K. Y. Ho:
Numbers in Multi-relational Data Mining. PKDD 2005: 544-551 - [e1]Arno J. Knobbe:
Multi-Relational Data Mining. Frontiers in Artificial Intelligence and Applications 145, IOS Press 2005, ISBN 978-1-58603-661-4, pp. 1-118 - 2002
- [c7]Arno J. Knobbe, Arno Siebes, Bart Marseille:
Involving Aggregate Functions in Multi-relational Search. PKDD 2002: 287-298 - 2001
- [c6]Arno J. Knobbe, Marc de Haas, Arno Siebes:
Propositionalisation and Aggregates. PKDD 2001: 277-288 - 2000
- [c5]Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen:
Multi-Relational Data Mining, Using UML for ILP. PKDD 2000: 1-12
1990 – 1999
- 1999
- [c4]Arno J. Knobbe, Danïel van der Wallen, Lundy Lewis:
Experiments with Data Mining in Enterprise Management. Integrated Network Management 1999: 353-366 - [c3]Arno J. Knobbe, Arno Siebes, Danïel van der Wallen:
Multi-relational Decision Tree Induction. PKDD 1999: 378-383 - 1996
- [c2]Arno J. Knobbe, Pieter W. Adriaans:
Analysing Binary Associations. KDD 1996: 311-314 - [c1]Arno J. Knobbe, Eelco den Heijer, Ronan Waldron:
A practical view on data mining. PAKM 1996: 20:1-20:8
Coauthor Index
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