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Wojtek Kowalczyk
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2020 – today
- 2024
- [j7]Di Wu
, Renchi Zhang, Ameya Pore
A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going. Biomed. Signal Process. Control. 93: 106179 (2024) - 2023
- [c34]Hadar Shavit, Filip Jatelnicki, Pol Mor-Puigventós, Wojtek Kowalczyk:
From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search. ICPRAM 2023: 229-236 - 2022
- [i2]Hadar Shavit
From Xception to NEXcepTion: New Design Decisions and Neural Architecture Search. CoRR abs/2212.08448 (2022) - 2020
- [j6]Bas van Stein
Cluster-based Kriging approximation algorithms for complexity reduction. Appl. Intell. 50(3): 778-791 (2020) - [j5]Wouter B. Verschoof-van der Vaart
Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands. ISPRS Int. J. Geo Inf. 9(5): 293 (2020) - [c33]Jichen Wu, Maarten H. Lamers, Wojtek Kowalczyk:
Being Creative: A Cross-Domain Mapping Network. ICCC 2020: 220-227 - [c32]Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
On the Performance of Oversampling Techniques for Class Imbalance Problems. PAKDD (2) 2020: 84-96 - [c31]Jiawen Kong, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
Improving Imbalanced Classification by Anomaly Detection. PPSN (1) 2020: 512-523 - [d2]Jiawen Kong, Wojtek Kowalczyk
Hyperparameter Optimisation for Improving Classification under Class Imbalance. Zenodo, 2020 - [d1]Jiawen Kong, Thiago Rios, Wojtek Kowalczyk
On the Performance of Oversampling Techniques for Class Imbalance Problems. Zenodo, 2020
2010 – 2019
- 2019
- [c30]Mark Pijnenburg
Are Similar Cases Treated Similarly? A Comparison Between Process Workers. BIS (2) 2019: 162-176 - [c29]Mark Pijnenburg
Extending an Anomaly Detection Benchmark with Auto-encoders, Isolation Forests, and RBMs. ICIST 2019: 498-515 - [c28]Jiawen Kong, Wojtek Kowalczyk, Duc Anh Nguyen
Hyperparameter Optimisation for Improving Classification under Class Imbalance. SSCI 2019: 3072-3078 - 2018
- [c27]Bas van Stein
A Novel Uncertainty Quantification Method for Efficient Global Optimization. IPMU (3) 2018: 480-491 - [c26]Mark Pijnenburg
Singular Outliers: Finding Common Observations with an Uncommon Feature. IPMU (3) 2018: 492-503 - 2017
- [j4]Eelke B. Lenselink, Niels ten Dijke, Brandon J. Bongers
Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set. J. Cheminformatics 9(1): 45 (2017) - [c25]Mark Pijnenburg
Extending Logistic Regression Models with Factorization Machines. ISMIS 2017: 323-332 - [i1]Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck:
Cluster-based Kriging Approximation Algorithms for Complexity Reduction. CoRR abs/1702.01313 (2017) - 2016
- [c24]Bas van Stein
Fuzzy clustering for Optimally Weighted Cluster Kriging. FUZZ-IEEE 2016: 939-945 - [c23]Bas van Stein
An Incremental Algorithm for Repairing Training Sets with Missing Values. IPMU (2) 2016: 175-186 - [c22]Bas van Stein
Analysis and Visualization of Missing Value Patterns. IPMU (2) 2016: 187-198 - 2015
- [c21]Bas van Stein
Optimally Weighted Cluster Kriging for Big Data Regression. IDA 2015: 310-321 - 2013
- [j3]C. Natalie van der Wal
Detecting changing emotions in human speech by machine and humans. Appl. Intell. 39(4): 675-691 (2013) - [c20]Martine Coene, Annemiek Hammer, Wojtek Kowalczyk, Louis ten Bosch, Bart Vaerenberg, Paul Govaerts:
Quantifying cross-linguistic variation in grapheme-to-phoneme mapping. INTERSPEECH 2013: 1854-1857 - [c19]Bart Vaerenberg, Louis ten Bosch, Wojtek Kowalczyk, Martine Coene, Herwig De Smet, Paul J. Govaerts:
Language-universal speech audiometry with automated scoring. INTERSPEECH 2013: 3608-3612 - [c18]Annemiek Hammer, Bart Vaerenberg, Wojtek Kowalczyk, Louis ten Bosch, Martine Coene, Paul J. Govaerts:
Balancing word lists in speech audiometry through large spoken language corpora. INTERSPEECH 2013: 3613-3616 - [c17]Rob M. Konijn, Wouter Duivesteijn, Wojtek Kowalczyk, Arno J. Knobbe
Discovering Local Subgroups, with an Application to Fraud Detection. PAKDD (1) 2013: 1-12 - 2012
- [c16]Rob M. Konijn, Wojtek Kowalczyk:
Hunting for Fraudsters in Random Forests. HAIS (1) 2012: 174-185 - [c15]Wojtek Kowalczyk, C. Natalie van der Wal
Detecting Changing Emotions in Natural Speech. IEA/AIE 2012: 491-500 - 2011
- [j2]David Samoocha, Ingrid A. K. Snels, David J. Bruinvels
Process evaluation of a web-based intervention aimed at empowerment of disability benefit claimants. BMC Medical Informatics Decis. Mak. 11: 10 (2011) - [c14]Wojtek Kowalczyk, Zoltán Szlávik
The Impact of Recommender Systems on Item-, User-, and Rating-Diversity. ADMI 2011: 261-287 - [c13]Rob M. Konijn, Wojtek Kowalczyk:
Finding Fraud in Health Insurance Data with Two-Layer Outlier Detection Approach. DaWaK 2011: 394-405 - [c12]Zoltán Szlávik, Wojtek Kowalczyk, Martijn C. Schut:
Diversity Measurement of Recommender Systems under Different User Choice Models. ICWSM 2011 - 2010
- [c11]Rob M. Konijn, Wojtek Kowalczyk:
An Interactive Approach to Outlier Detection. RSKT 2010: 379-385
2000 – 2009
- 2006
- [c10]A. E. Eiben, Mark Horvath, Wojtek Kowalczyk, Martijn C. Schut:
Reinforcement Learning for Online Control of Evolutionary Algorithms. ESOA 2006: 151-160 - [c9]Jan Peter Patist, Wojtek Kowalczyk, Elena Marchiori:
Maintaining Gaussian Mixture Models of Data Streams Under Block Evolution. International Conference on Computational Science (1) 2006: 1071-1074 - 2005
- [c8]Nikos Vlassis, Yiannis Sfakianakis, Wojtek Kowalczyk:
Gossip-Based Greedy Gaussian Mixture Learning. Panhellenic Conference on Informatics 2005: 349-359 - [c7]Krisztian Balog, Peter Hofgesang, Wojtek Kowalczyk:
Modeling Navigation Patterns of Visitors of Unstructured Websites. SGAI Conf. 2005: 116-129 - 2004
- [c6]Wojtek Kowalczyk, Nikos Vlassis:
Newscast EM. NIPS 2004: 713-720 - [c5]Márk Jelasity
An Approach to Massively Distributed Aggregate Computing on Peer-to-Peer Networks. PDP 2004: 200-207 - 2003
- [c4]Wojtek Kowalczyk:
An Approximate Algorithm for Reverse Engineering of Multi-layer Perceptrons. SGAI Conf. 2003: 55-66
1990 – 1999
- 1998
- [j1]Frederik Jan Jüngen, Wojtek Kowalczyk:
Approximate algorithms for generalized maximum utility problems. J. Exp. Theor. Artif. Intell. 10(1): 49-62 (1998) - [c3]Wojtek Kowalczyk, Zdzislaw Piasta:
Rough-Set Inspired Approach to Knowledge Discovery in Business Databases. PAKDD 1998: 186-197 - 1996
- [c2]Frederik Jan Jüngen, Wojtek Kowalczyk:
Appriximate Algorithms for Maximum Utility Problems. CP 1996: 547-548 - [c1]Wojtek Kowalczyk:
An algorithm for training multilayer networks on non-numerical data. ESANN 1996
Coauthor Index
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last updated on 2024-10-22 21:14 CEST by the dblp team
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