Arno J. Knobbe

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 27

Top Topics

Nonlinear Regression

Subgroup Discovery

Multivariate Time Series

Top Venues

Data Min. Knowl. Discov.

Publications

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) (2023)
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)
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) (2022)
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) (2022)
Marvin Meeng, Arno J. Knobbe
For real: a thorough look at numeric attributes in subgroup discovery. Data Min. Knowl. Discov. 35 (1) (2021)
D. B. Steffelbauer, E. J. M. Blokker, S. G. Buchberger, Arno J. Knobbe, E. Abraham
Dynamic Time Warping Clustering to Discover Socio-Economic Characteristics in Smart Water Meter Data. CoRR (2021)
Arie-Willem de Leeuw, Mathieu Heijboer, Mathijs Hofmijster, Stephan van der Zwaard, Arno J. Knobbe
Time Series Regression in Professional Road Cycling. DS (2020)
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 (2020)
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) (2020)
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) (2020)
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)
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)
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 (2019)
Arie-Willem de Leeuw, Aldo Hoekstra, Laurentius Antonius Meerhoff, Arno J. Knobbe
Tactical Analyses in Professional Tennis. PKDD/ECML Workshops (2) (2019)
Dylan te Lindert, Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe
Smart energy management as a means towards improved energy efficiency. CoRR (2018)
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)
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) (2018)
Arie-Willem de Leeuw, Laurentius Antonius Meerhoff, Arno J. Knobbe
Effects of Pacing Properties on Performance in Long-Distance Running. Big Data 6 (4) (2018)
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 (2018)
Ricardo Cachucho, Siegfried Nijssen, Arno J. Knobbe
Biclustering Multivariate Time Series. IDA (2017)
Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo Cortez
Label Ranking Forests. Expert Syst. J. Knowl. Eng. 34 (1) (2017)
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) (2017)
Cláudio Rebelo de Sá, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe
Exceptional Preferences Mining. DS (2016)
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)
Shengfa Miao, Ugo Vespier, Ricardo Cachucho, Marvin Meeng, Arno J. Knobbe
Predefined pattern detection in large time series. Inf. Sci. 329 (2016)
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) (2016)
Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe
Entropy-based discretization methods for ranking data. Inf. Sci. 329 (2016)
Miao He, Ricardo Cachucho, Arno J. Knobbe
Football Player's Performance and Market Value. MLSA@PKDD/ECML (2015)
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) (2015)
Cláudio Rebelo de Sá, Carla Rebelo, Carlos Soares, Arno J. Knobbe
Distance-Based Decision Tree Algorithms for Label Ranking. EPIA (2015)
Rob M. Konijn, Wouter Duivesteijn, Marvin Meeng, Arno J. Knobbe
Cost-based quality measures in subgroup discovery. J. Intell. Inf. Syst. 45 (3) (2015)
Ricardo Cachucho, Marvin Meeng, Ugo Vespier, Siegfried Nijssen, Arno J. Knobbe
Mining multivariate time series with mixed sampling rates. UbiComp (2014)
Jouke Witteveen, Wouter Duivesteijn, Arno J. Knobbe, Peter Grünwald
RealKrimp - Finding Hyperintervals that Compress with MDL for Real-Valued Data. IDA (2014)
Marvin Meeng, Wouter Duivesteijn, Arno J. Knobbe
ROCsearch - An ROC-guided Search Strategy for Subgroup Discovery. SDM (2014)
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) (2014)
Marvin Meeng, Wouter Duivesteijn, Arno J. Knobbe
ROCsearch - An ROC-Guided Search Strategy for Subgroup Discovery. LWA (2014)
Harm de Vries, George Azzopardi, André Koelewijn, Arno J. Knobbe
Parametric Nonlinear Regression Models for Dike Monitoring Systems. IDA (2014)
Ugo Vespier, Siegfried Nijssen, Arno J. Knobbe
Mining characteristic multi-scale motifs in sensor-based time series. CIKM (2013)
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)
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)
Rob M. Konijn, Wouter Duivesteijn, Wojtek Kowalczyk, Arno J. Knobbe
Discovering Local Subgroups, with an Application to Fraud Detection. PAKDD (1) (2013)
Rob M. Konijn, Wouter Duivesteijn, Marvin Meeng, Arno J. Knobbe
Cost-Based Quality Measures in Subgroup Discovery. PAKDD Workshops (2013)
Matthijs van Leeuwen, Arno J. Knobbe
Diverse subgroup set discovery. Data Min. Knowl. Discov. 25 (2) (2012)
Wouter Duivesteijn, Eneldo Loza Mencía, Johannes Fürnkranz, Arno J. Knobbe
Multi-label LeGo - Enhancing Multi-label Classifiers with Local Patterns. IDA (2012)
Ugo Vespier, Arno J. Knobbe, Siegfried Nijssen, Joaquin Vanschoren
MDL-Based Analysis of Time Series at Multiple Time-Scales. ECML/PKDD (2) (2012)
Geraldina Ribeiro, Wouter Duivesteijn, Carlos Soares, Arno J. Knobbe
Multilayer Perceptron for Label Ranking. ICANN (2) (2012)
Wouter Duivesteijn, Ad Feelders, Arno J. Knobbe
Different slopes for different folks: mining for exceptional regression models with cook's distance. KDD (2012)
Michael Mampaey, Siegfried Nijssen, Ad Feelders, Arno J. Knobbe
Efficient Algorithms for Finding Richer Subgroup Descriptions in Numeric and Nominal Data. ICDM (2012)
Ugo Vespier, Arno J. Knobbe, Joaquin Vanschoren, Shengfa Miao, Arne Koopman, Bas Obladen, Carlos Bosma
Traffic Events Modeling for Structural Health Monitoring. IDA (2011)
Matthijs van Leeuwen, Arno J. Knobbe
Non-redundant Subgroup Discovery in Large and Complex Data. ECML/PKDD (3) (2011)
Wouter Duivesteijn, Arno J. Knobbe
Exploiting False Discoveries - Statistical Validation of Patterns and Quality Measures in Subgroup Discovery. ICDM (2011)
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, Matthijs van Leeuwen
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach. ICDM (2010)
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)
Johannes Fürnkranz, Arno J. Knobbe
Guest Editorial: Global modeling using local patterns. Data Min. Knowl. Discov. 21 (1) (2010)
Richard Frank, Martin Ester, Arno J. Knobbe
A multi-relational approach to spatial classification. KDD (2009)
Dennis Leman, Ad Feelders, Arno J. Knobbe
Exceptional Model Mining. ECML/PKDD (2) (2008)
Arno J. Knobbe, Eric K. Y. Ho
Pattern Teams. PKDD (2006)
Arno J. Knobbe, Eric K. Y. Ho
Maximally informative k-itemsets and their efficient discovery. KDD (2006)
Arno J. Knobbe, Eric K. Y. Ho
Numbers in Multi-relational Data Mining. PKDD (2005)
Arno J. Knobbe, Arno Siebes, Bart Marseille
Involving Aggregate Functions in Multi-relational Search. PKDD (2002)
Arno J. Knobbe, Marc de Haas, Arno Siebes
Propositionalisation and Aggregates. PKDD (2001)
Arno J. Knobbe, Arno Siebes, Hendrik Blockeel, Danïel van der Wallen
Multi-Relational Data Mining, Using UML for ILP. PKDD (2000)
Arno J. Knobbe, Danïel van der Wallen, Lundy Lewis
Experiments with Data Mining in Enterprise Management. Integrated Network Management (1999)
Arno J. Knobbe, Arno Siebes, Danïel van der Wallen
Multi-relational Decision Tree Induction. PKDD (1999)
Arno J. Knobbe, Eelco den Heijer, Ronan Waldron
A practical view on data mining. PAKM (1996)
Arno J. Knobbe, Pieter W. Adriaans
Analysing Binary Associations. KDD (1996)