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A. J. M. M. Weijters Vis

Ton Weijters

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*2009
35EEAylin Koca, Mathias Funk, Evangelos Karapanos, Anne Rozinat, Wil M. P. van der Aalst, Henk Corporaal, Jean-Bernard Martens, Piet van der Putten, A. J. M. M. Weijters, Aarnout Brombacher: Soft reliability: an interdisciplinary approach with a user-system focus. Quality and Reliability Eng. Int. 25(1): 3-20 (2009)
2008
34EEAna Karla Alves de Medeiros, Wil M. P. van der Aalst, A. J. M. M. Weijters: Quantifying process equivalence based on observed behavior. Data Knowl. Eng. 64(1): 55-74 (2008)
2007
33EEAna Karla Alves de Medeiros, Antonella Guzzo, Gianluigi Greco, Wil M. P. van der Aalst, A. J. M. M. Weijters, Boudewijn F. van Dongen, Domenico Saccà: Process Mining Based on Clustering: A Quest for Precision. Business Process Management Workshops 2007: 17-29
32EEMalú Castellanos, Jan Mendling, Barbara Weber, Ton Weijters: Introduction to the Third Workshop on Business Process Intelligence (BPI 2007). Business Process Management Workshops 2007: 3-4
31EEAnne Rozinat, Ana Karla Alves de Medeiros, Christian W. Günther, A. J. M. M. Weijters, Wil M. P. van der Aalst: The Need for a Process Mining Evaluation Framework in Research and Practice. Business Process Management Workshops 2007: 84-89
30EEWil M. P. van der Aalst, Boudewijn F. van Dongen, Christian W. Günther, R. S. Mans, Ana Karla Alves de Medeiros, Anne Rozinat, Vladimir Rubin, Minseok Song, H. M. W. (Eric) Verbeek, A. J. M. M. Weijters: ProM 4.0: Comprehensive Support for Real Process Analysis. ICATPN 2007: 484-494
29EEAna Karla A. de Medeiros, A. J. M. M. Weijters, Wil M. P. van der Aalst: Genetic process mining: an experimental evaluation. Data Min. Knowl. Discov. 14(2): 245-304 (2007)
28EEWil M. P. van der Aalst, Hajo A. Reijers, A. J. M. M. Weijters, Boudewijn F. van Dongen, Ana Karla Alves de Medeiros, Minseok Song, H. M. W. (Eric) Verbeek: Business process mining: An industrial application. Inf. Syst. 32(5): 713-732 (2007)
2006
27EEWil M. P. van der Aalst, Ana Karla A. de Medeiros, A. J. M. M. Weijters: Process Equivalence: Comparing Two Process Models Based on Observed Behavior. Business Process Management 2006: 129-144
26EEMalú Castellanos, Domenico Saccà, Ton Weijters: Preface. Business Process Management Workshops 2006: 77-79
25EELaura Maruster, A. J. M. M. Weijters, Wil M. P. van der Aalst, Antal van den Bosch: A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs. Data Min. Knowl. Discov. 13(1): 67-87 (2006)
2005
24EEMalú Castellanos, Ton Weijters: Preface (BPI 2005). Business Process Management Workshops 2005: 159-161
23EEAna Karla A. de Medeiros, A. J. M. M. Weijters, Wil M. P. van der Aalst: Genetic Process Mining: A Basic Approach and Its Challenges. Business Process Management Workshops 2005: 203-215
22EEBoudewijn F. van Dongen, Ana Karla A. de Medeiros, H. M. W. Verbeek, A. J. M. M. Weijters, Wil M. P. van der Aalst: The ProM Framework: A New Era in Process Mining Tool Support. ICATPN 2005: 444-454
21EEWil M. P. van der Aalst, Ana Karla A. de Medeiros, A. J. M. M. Weijters: Genetic Process Mining. ICATPN 2005: 48-69
2004
20EEAna Karla A. de Medeiros, Boudewijn F. van Dongen, Wil M. P. van der Aalst, A. J. M. M. Weijters: Process Mining for Ubiquitous Mobile Systems: An Overview and a Concrete Algorithm. UMICS 2004: 151-165
19EEWil M. P. van der Aalst, Ton Weijters, Laura Maruster: Workflow Mining: Discovering Process Models from Event Logs. IEEE Trans. Knowl. Data Eng. 16(9): 1128-1142 (2004)
2003
18EEAna Karla A. de Medeiros, Wil M. P. van der Aalst, A. J. M. M. Weijters: Workflow Mining: Current Status and Future Directions. CoopIS/DOA/ODBASE 2003: 389-406
17EEWil M. P. van der Aalst, Boudewijn F. van Dongen, Joachim Herbst, Laura Maruster, Guido Schimm, A. J. M. M. Weijters: Workflow mining: A survey of issues and approaches. Data Knowl. Eng. 47(2): 237-267 (2003)
16EEW. H. M. Raaymakers, A. J. M. M. Weijters: Makespan estimation in batch process industries: A comparison between regression analysis and neural networks. European Journal of Operational Research 145(1): 14-30 (2003)
2002
15 Laura Maruster, Johan C. Wortmann, A. J. M. M. Weijters, Wil M. P. van der Aalst: Discovering Distributed Processes in Supply Chains. APMS 2002: 219-230
14EELaura Maruster, A. J. M. M. Weijters, Wil M. P. van der Aalst, Antal van den Bosch: Process Mining: Discovering Direct Successors in Process Logs. Discovery Science 2002: 364-373
13 Laura Maruster, Ton Weijters, Geerhard de Vries, Antal van den Bosch, Walter Daelemans: Logistic-based patient grouping for multi-disciplinary treatment. Artificial Intelligence in Medicine 26(1-2): 87-107 (2002)
12EETon Weijters, Jan Paredis: Genetic rule induction at an intermediate level. Knowl.-Based Syst. 15(1-2): 85-94 (2002)
1999
11EETon Weijters, Antal van den Bosch, Eric O. Postma: Learning Statistically Neutral Tasks without Expert Guidance. NIPS 1999: 73-79
1998
10EETon Weijters, Antal van den Bosch, H. Jaap van den Herik: Interpretable Neural Networks with BP-SOM. ECML 1998: 406-411
9 Ton Weijters, Antal van den Bosch: Interpretable Neural Networks with BP-SOM. IEA/AIE (Vol. 2) 1998: 564-573
8EEAntal van den Bosch, Ton Weijters, Walter Daelemans: Modularity in inductively-learned word pronunciation systems CoRR cmp-lg/9801004: (1998)
1997
7EEWalter Daelemans, Antal van den Bosch, Ton Weijters: Empirical Learning of Natural Language Processing Task. ECML 1997: 337-344
6 Ton Weijters, H. Jaap van den Herik, Antal van den Bosch, Eric O. Postma: Avoiding Overfitting with BP-SOM. IJCAI 1997: 1140-1145
5 Walter Daelemans, Antal van den Bosch, Ton Weijters: IGTree: Using Trees for Compression and Classification in Lazy Learning Algorithms. Artif. Intell. Rev. 11(1-5): 407-423 (1997)
4EEA. J. M. M. Weijters, Antal van den Bosch, H. Jaap van den Herik: Behavioural Aspects of Combining Backpropagation Learning and Self-organizing Maps. Connect. Sci. 9(3): 235-252 (1997)
1996
3EEAntal van den Bosch, Walter Daelemans, Ton Weijters: Morphological Analysis as Classification: an Inductive-Learning Approach CoRR cmp-lg/9607021: (1996)
1995
2 Peter J. Braspenning, F. Thuijsman, A. J. M. M. Weijters: Artificial Neural Networks: An Introduction to ANN Theory and Practice Springer 1995
1 A. J. M. M. Weijters, G. A. J. Hoppenbrouwers: Backpropagation Networks for Grapheme-Phoneme Conversion: a Non-Technical Introduction. Artificial Neural Networks 1995: 11-36

Coauthor Index

1Wil M. P. van der Aalst [14] [15] [17] [18] [19] [20] [21] [22] [23] [25] [27] [28] [29] [30] [31] [33] [34] [35]
2Antal van den Bosch [3] [4] [5] [6] [7] [8] [9] [10] [11] [13] [14] [25]
3Peter J. Braspenning [2]
4Aarnout Brombacher [35]
5Malú Castellanos [24] [26] [32]
6Henk Corporaal [35]
7Walter Daelemans [3] [5] [7] [8] [13]
8Boudewijn F. van Dongen [17] [20] [22] [28] [30] [33]
9Mathias Funk [35]
10Gianluigi Greco [33]
11Christian W. Günther [30] [31]
12Antonella Guzzo [33]
13Joachim Herbst [17]
14H. Jaap van den Herik [4] [6] [10]
15G. A. J. Hoppenbrouwers [1]
16Evangelos Karapanos [35]
17Aylin Koca [35]
18R. S. Mans (Ronny Mans) [30]
19Jean-Bernard Martens [35]
20Laura Maruster [13] [14] [15] [17] [19] [25]
21Ana Karla A. de Medeiros (Ana Karla Alves de Medeiros) [18] [20] [21] [22] [23] [27] [28] [29] [30] [31] [33] [34]
22Jan Mendling [32]
23Jan Paredis [12]
24Eric O. Postma [6] [11]
25Piet van der Putten [35]
26W. H. M. Raaymakers [16]
27Hajo A. Reijers [28]
28Anne Rozinat [30] [31] [35]
29Vladimir Rubin [30]
30Domenico Saccà [26] [33]
31Guido Schimm [17]
32Minseok Song [28] [30]
33F. Thuijsman [2]
34H. M. W. (Eric) Verbeek (H. M. W. Verbeek, Eric Verbeek) [22] [28] [30]
35Geerhard de Vries [13]
36Barbara Weber [32]
37Hans Wortmann (Johan C. Wortmann) [15]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)