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2020 – today
- 2022
[j6]Jefrey Lijffijt, Dimitra Gkorou, Pieter Van Hertum, Alexander Ypma, Mykola Pechenizkiy
, Joaquin Vanschoren:
Introduction to the Special Section on AI in Manufacturing: Current Trends and Challenges. SIGKDD Explor. 24(2): 81-85 (2022)- 2020
- [c13]Dimitra Gkorou, Maialen Larrañaga, Alexander Ypma, Faegheh Hasibi, Robert Jan van Wijk:
Get a Human-In-The-Loop: Feature Engineering via Interactive Visualizations. IAL@PKDD/ECML 2020: 90-95
2010 – 2019
- 2019
- [c12]Marina Velikova, Carmen Bratosin, Alexander Ypma, Vera Lemmen, Robert Jan van Wijk:
Assisted Diagnostics Methodology for Complex High-Tech Applications. ICSRS 2019: 457-463 - 2018
- [c11]Maialen Larrañaga, Dimitra Gkorou, Thiago S. Guzella, Alexander Ypma, Faegheh Hasibi, Robert Jan van Wijk:
Towards Interactive Feature Selection with Human-in-the-loop. IAL@PKDD/ECML 2018: 85-88 - 2017
- [c10]Dimitra Gkorou, Alexander Ypma, George Tsirogiannis, Manuel Giollo, Dag Sonntag, Geert Vinken, Richard van Haren, Robert Jan van Wijk, Jelle Nije, Tom Hoogenboom:
Towards Big Data Visualization for Monitoring and Diagnostics of High Volume Semiconductor Manufacturing. Conf. Computing Frontiers 2017: 338-342
2000 – 2009
- 2009
- [c9]Xueru Zhang, Alexander Ypma, Bert de Vries:
Bayesian periodogram smoothing for speech enhancement. ESANN 2009 - 2008
- [j5]Alexander Ypma, Job Geurts, Serkan Özer, Erik van der Werf, Bert de Vries:
Online Personalization of Hearing Instruments. EURASIP J. Audio Speech Music. Process. 2008 (2008) - [j4]David Yuheng Zhao, W. Bastiaan Kleijn, Alexander Ypma, Bert de Vries:
Online Noise Estimation Using Stochastic-Gain HMM for Speech Enhancement. IEEE Trans. Speech Audio Process. 16(4): 835-846 (2008) - 2005
- [j3]Co Melissant, Alexander Ypma, Edward E. E. Frietman, Cornelis J. Stam:
A method for detection of Alzheimer's disease using ICA-enhanced EEG measurements. Artif. Intell. Medicine 33(3): 209-222 (2005) - [j2]Alexander Ypma, Tom Heskes:
Novel approximations for inference in nonlinear dynamical systems using expectation propagation. Neurocomputing 69(1-3): 85-99 (2005) - 2004
- [c8]Alexander Ypma, Tom Heskes:
Novel approximations for inference and learning in nonlinear dynamical systems. ESANN 2004: 361-366 - 2003
- [c7]Alexander Ypma, Tom Heskes:
Iterated extended Kalman smoothing with expectation-propagation. NNSP 2003: 219-228 - 2002
- [j1]Alexander Ypma, Amir Leshem, Robert P. W. Duin:
Blind separation of rotating machine sources: bilinear forms and convolutive mixtures. Neurocomputing 49(1-4): 349-368 (2002) - [c6]Alexander Ypma, Tom Heskes:
Automatic Categorization of Web Pages and User Clustering with Mixtures of Hidden Markov Models. WEBKDD 2002: 35-49 - 2001
- [c5]Alexander Ypma, Co Melissant, Ole Baunbæk-Jensen, Robert P. W. Duin:
Health Monitoring with Learning Methods. ICANN 2001: 547-553 - 2000
- [c4]Marina Skurichina, Alexander Ypma, Robert P. W. Duin:
The Role of Subclasses in Machine Diagnostics. ICPR 2000: 2668-2671
1990 – 1999
- 1999
- [c3]David M. J. Tax, Alexander Ypma, Robert P. W. Duin:
Pump Failure Detection Using Support Vector Data Descriptions. IDA 1999: 415-426 - 1997
- [c2]Alexander Ypma, Robert P. W. Duin:
Novelty Detection Using Self-Organizing Maps. ICONIP (2) 1997: 1322-1325 - 1996
- [c1]Rienk S. Venema, Alexander Ypma, J. A. G. Nijhuis, Lambert Spaanenburg:
Time series prediction using neural networks and its application to artificial human walking. ESANN 1996
Coauthor Index
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