Download List of publications

March 2012
List of publications
Wojtek Kowalczyk
[1]
W. Kowalczyk, C.N. van der Wal. Detecting changing emotions in natural speech.
Proceedings of the 25th International Conference on Industrial, Engineering & Other
Applications of Applied Intelligent Systems, Dalian, China. LNAI, Springer, 2012.
[2]
R. Konijn, W. Kowalczyk. Hunting for Fraudsters in Random Forests. Proceedings of
the 7th Conference on Hybrid Artificial Intelligent Systems (HAIS2012), Salamanca,
Spain. LNAI, Springer, 2012.
[3]
W. Kowalczyk, Z. Szlávik and M. C. Schut. The Impact of Recommender Systems on
Item-, User-, and Rating-Diversity. Agents and Data Mining Interaction. Lecture
Notes in Computer Science, 2012, Volume 7103/2012, pp. 261-287.
[4]
D. Samoocha, I.A.K. Snels, D. J. Bruinvels, J.R. Anema, W. Kowalczyk, and A. J.
van der Beek. Process evaluation of a web-based intervention aimed at empowerment
of disability benefit claimants. In BMC Medical Informatics and Decision Making
2011 11:10, pp. 1-11.
[5]
Z. Szlávik, W. Kowalczyk, and M.C. Schut. Diversity measurement of recommender
systems under different user choice models. Fifth International Conference on
Weblogs and Social Media, Barcelona, Spain. AAAI Press, 2011.
[6]
R. Konijn, W. Kowalczyk. An Interactive Approach to Outlier Detection. Rough Set
and Knowledge Technology, Lecture Notes in Computer Science, 2010, Volume
6401/2010, 379-385.
[7]
D. Hedge and W. Kowalczyk. Predicting Web User Behaviour with Mixture Models,
Proceedings of Benelearn 2007, Amsterdam, The Netherlands, May 14-15, 2007.
[8]
A.E. Eiben, M. Horvath, W. Kowalczyk, and M.C. Schut. Reinforcement Learning
for Online Control of Evolutionary Algorithms, Brueckner, Hassas, Jelasity, and
Yamins (eds.), Proceedings of the 4th International Workshop on Engineering SelfOrganizing Applications (ESOA'06), Springer, LNAI vol. 4335, Springer, pp. 151160, 2007.
[9]
J.P. Patist, W. Kowalczyk, E. Marchiori. Maintaining Gaussian Mixture Models of
Data Streams Under Block Evolution. International Conference on Computational
Science, Springer, 2006, pp. 1071-1074.
[10]
P.I. Hofgesang and W. Kowalczyk, Analysing Clickstream Data: From Anomaly
Detection to Visitor Profiling, Proceedings of the ECML/PKDD Discovery Challenge
Workshop, 2005, Porto, pp. 21-30. Also published as a book chapter in: User
Profiling: Concepts and Applications, B. Sujatha (editor), The ICFAI University
Press, pp. 27-38.
[11]
W. Kowalczyk and N. Vlassis, Newscast EM. In Advances in Neural Information
Processing Systems (NIPS 2004), Vol. 17, MIT Press, Cambridge, MA, 2005.
[12]
Vlassis, Sfakianakis, and Kowalczyk. Gossip-based greedy Gaussian mixture
learning. In Proc. 10th Panhellenic Conference on Informatics. Volos, Greece,
November, 2005. LNCS 3746, Springer, pp. 349-359.
[13]
Balog, Hofgesang, and Kowalczyk, Modeling Navigation Patterns of Visitors of
Unstructured Websites, The Twenty-fifth SGAI International Conference on
Innovative Techniques and Applications of Artificial Intelligence, 2005 Springer
Verlag, 2005, pp. 116-129.
[14]
M. Jelasity, M. van Steen, and W. Kowalczyk. An approach to massively distributed
aggregate computing on peer-to-peer networks. Proceedings of the 12th Euromicro
Conference on Parallel, Distributed and Network-based Processing, 200-207. IEEE
Computer Society, 2004.
[15]
W. Kowalczyk, M. Jelasity, and A.E. Eiben. Towards Data Mining in Large and Fully
Distributed Peer-to-Peer Overlay Networks. In T. Heskes, P. Lucas, L. Vuurpijl, and
W. Wiegerinck, editors, Proceedings of the 15th Belgium-Netherlands Conference on
Artificial Intelligence, 203-210 University of Nijmegen, 2003. Nominated for Best
Paper Award.
[16]
M. Jelasity, W. Kowalczyk, and M. van Steen. Newscast Computing, Technical
Report, IR-CS-006, Vrije Universiteit Amsterdam, 2003.
[17]
W. Kowalczyk. Inverting Multi-layer Perceptrons is Easy. In T. Heskes, P. Lucas, L.
Vuurpijl, and W. Wiegerinck, editors, Proceedings of the 15th Belgium-Netherlands
Conference on Artificial Intelligence, 195-202, University of Nijmegen, 2003.
Nominated for Best Paper Award.
[18]
W. Kowalczyk. An Approximate Algorithm for Reverse Engineering of Multi-layer
Perceptrons. In F. Coenen, A. Preece, and A.L. Macintosh, editors, Research and
Development in Intelligent Systems XX, Proceedings of AI 2003, the 23rd SGAI
International Conference on Innovative Techniques and Applications of Artificial
Intelligence, 55-66, Springer, 2003.
[19]
W. Kowalczyk. Heuristics for building scorecard trees. Credit Scoring and Credit
Control VIII, University of Edinburgh, Working Papers, September 2003.
[20]
Hoorn, J.F., Frank, S.L., Kowalczyk, W., & Ham, F. van der (1999). Neural
Network Identification of Poets Using Letter Sequences. Literary and
Linguistic Computing, 14(3), 313-340.
[21]
Kowalczyk, W. (1998). Rough Data Modeling: a new technique for analyzing data.
In: L. Polkowski and A. Skowron (eds.) Rough Sets in Knowledge Discovery, pp.
400-421, Physica--Verlag, 1998.
[22]
F.J. Jüngen and W. Kowalczyk. Approximate algorithms for generalized maximum
utility problems. Journal of Experimental and Theoretical Artificial Intelligence, vol.
10, (1998), 49-62.
[23]
Kowalczyk, W. and Piasta, Z. (1998). Rough sets-inspired approach to knowledge
discovery in business databases. In Proceedings of The Second Pacific-Asia
Conference on Knowledge Discovery and Data Mining, PAKDD-98, Melbourne,
Lecture Notes in Artificial Intelligence, vol. 1394, Springer-Verlag, 186-197.
[24]
Kowalczyk, W. An Empirical Evaluation of the Accuracy of Rough Data Models. In
Proceedings of the 7th International Conference on Information Processing and
Management of Uncertainty in Knowledge-based Systems, IPMU'98, Paris, La
Sorbonne, (1998), pp. 1534--1538.
[25]
G. Jahns, W. Kowalczyk, K. Walter. Sound Analysis to Recognize Individuals and
Animal Conditions. 13th International Congress on Agricultural Engineering, 2-6
February 1998, Rabat, Morocco, pp. 69-76.
[26]
A.E. Eiben, T.J. Euverman, W. Kowalczyk, F. Slisser. Modeling Customer Retention
with Statistical techniques, Rough Data Models, and Genetic Programming, in
S.K.Pal and A. Skowron (eds.), Rough Fuzzy Hybridization: A New Trend in
Decision-Making, Springer Verlag, pp. 330-345, 1998.
[27]
Kowalczyk, W. and Slisser, F. Analyzing customer retention with rough data models.
In Proceedings of the 1st European Symposium on Principles of Data Mining and
Knowledge Discovery, PKDD'97, Trondheim, Norway, Lecture Notes in AI 1263,
Springer-Verlag, pp. 4-13.
[28]
Kowalczyk, W. and Slisser, F. (1997). Analyzing customer behaviour with rough data
models. In Proceedings of the Ninth Dutch Conference on Artificial Intelligence,
NAIC'97, University of Antwerp, pp. 37-46.
[29]
Jahns, G., Kowalczyk, W., Walter, K. An application of sound processing techniques
for determining condition of cows, Published in Proceedings of the 4st International
Workshop on Systems, Signals and Image Processing, IWSSP'97, Poznan, Poland,
(M. Domanski and R. Stasinski ed.), Poznan University of Technology, ISBN 83906074-1-7, pp. 105-109.
[30]
Jahns, G.; W. Kowalczyk and K. Walter. Sound analysis to recognize different
animals. Proceedings of the Mathematical and Control applications in agriculture &
horticulture (IFAC/ISHS), (Munack, A. and Tantau, H.-J. eds.) Hannover, Pergamon
Press, 1997, pp 169-173.
[31]
Jahns, G.; W. Kowalczyk and K. Walter. Identification of animals and animal
conditions by sound analysis. Proceedings of the Joint International Conference on
Agriculture, Dhaka, 15.-18.Dec.97, page 670-675.
[32]
Kowalczyk, W., An Algorithm for training multilayer networks on non-numeric data,
Proceedings of the 4th European Symposium On Artificial Neural Networks, Bruges
(Belgium), 1996, pp. 279-284.
[33]
Kowalczyk, W., TRANCE: a Tool for Rough data ANalysis, Classification, and
clustEring. In Proceedings of the 4th International Workshop on Rough Sets, Fuzzy
Sets and Machine Discovery, RSFD'96.Tokyo, Tokyo University Press. November 68, 1996.
[34]
Kowalczyk, W. (1996). Analyzing temporal patterns with rough sets. In H.-J.
Zimmermann (ed.), Proceedings of the 4th European Congress on Intelligent
Techniques and Soft Computing, Verlag Mainz, Aachen. (pp. 139-143).
[35]
Kowalczyk, W. (1996). Analyzing Data with Rough Data Models. In Proceedings of
the 6th Belgian-Dutch Conference on Machine Learning, Maastricht, pp. 127-136.
[36]
A.E. Eiben, T.J. Euverman, W. Kowalczyk, E. Peelen, F. Slisser and J.A.M.
Wesseling. Comparing Adaptive and Traditional Techniques for Direct Marketing, in
H.-J. Zimmermann (ed.), Proceedings of the 4th European Congress on Intelligent
Techniques and Soft Computing, Verlag Mainz, Aachen, pp. 434-437, 1996.
[37]
W. Kowalczyk, Analyzing signals with AI techniques: two case studies. The winning
contribution to the International Competition for Signal Analysis and Processing by
Intelligent Techniques, EUFIT'96, Aachen.
[38]
Jüngen, F.J. and W. Kowalczyk, Approximate Algorithms for Maximum Utility
Problems, in Proceedings of the Principles and Practice of Constraint Programming
Conference, (Freuder, E.C. editor), Lecture Notes in Computer Science 1118,
Springer Verlag, 1996, pp.547-548.
[39]
Jüngen, F.J. and W. Kowalczyk, Approximate Algorithms for Generalized Maximum
Utility Problems, in Workshop Notes of the ECAI96 Workshop on Non-standard
Constraint Processing, (Hower, W. and Ruttkay, Zs. editors), Budapest, 1996, pp. 2536.
[40]
Jüngen, F.J. and W. Kowalczyk, Finding Approximate Solutions for Maximum Utility
Problems with an Expected Utility-based Heuristic, in Proceedings of the Eight Dutch
Conference on Artificial Intelligence}, (Meyer, J.-J.Ch. and Van der Gaag, L.C.
editors), Utrecht, 1996, pp. 235-244 (Best Paper Award).
[41]
Kowalczyk, W., Incremental Learning From Decision Tables: A Neural Network
Approach, in Proceedings of The Third International Workshop on Rough Sets and
Soft Computing, the Society for Computer Simulation, San Diego, 1995, pp. 324-331.
[42]
Jüngen, F.J., Kowalczyk, W., An Intelligent Interactive Project Management Support
System, European Journal of Operational Research, 84, 1995, pp. 60-81.
[43]
Eiben, A.E., Euverman, T.J., Kowalczyk, W., Peelen, E., Slisser, F., Wesseling,
J.A.M., Genetic Algorithms and Neural Networks vs. Statistical Techniques: A Case
Study in Marketing, in Proceedings of the 5'th International Workshop on Parallel
Applications in Statistics and Economics, PASE'95, ETH Zurich.
[44]
Eiben, A.E., Euverman, T.J., Kowalczyk, W., Peelen, E., Slisser, F., Wesseling,
J.A.M., Response modelling en doelgroepselectie in een business-to-business markt.
In Toepassing van neurale netwerken in marketing, Henry Stewart Conference
Studies/ Living Stones Foundation, Amsterdam, 1995.
[45]
Geelen P.A., Kowalczyk W., A Knowledge-Based System for the Routing of
International Payments, Proc. 12th International Avignon Conference on Artificial
Intelligence, Expert systems and Natural Language, Avignon-92, 1992, Vol. 2, pp.
669-677
[46]
Kowalczyk W., Neural Networks in Knowledge-based Systems, Proc. of the 2nd
Symposium on Neural Networks, Nijmegen 1992, pp. 47-49.
[47]
S.Bakker, F.J. Jungen, W. Kowalczyk, G.J. Moses, Towards Integration of OR and
AI. A case study: Critical Path Method, Proceedings Computing Science in the
Netherlands, CSN-91, pp. 47-61.
[48]
W. Kowalczyk, P.H.G. van Langen, T.P.J. van Rijn, Y.H. Tan, A generic task-model
for dynamic project scheduling, (in Dutch) Proc. Dutch Conference on AI
Applications, AIT-91, Amsterdam, pp. 15-26.
[49]
Kowalczyk, W., Treur , J., On the use of a formalized generic task model in
knowledge acquisition, in: B.J. Wielinga et al. (Eds.): Current Trends in Knowledge
Acquisition (Proceedings EKAW-90), pp. 198-221, IOS Press, Amsterdam, 1990.
[50]
Geelen, P.A., Kowalczyk, W. (1990), Een Kennissysteeem voor Routing van
Internationale Blanco Betalingsopdrachten, in Proceedings of the "AI
Toepassingen'90" Conference, Kerkrade, 1990, pp. 51-58 (Best Paper Award).
[51]
Kowalczyk, W., (1982), A sufficient condition for the consistency of P=NP with
Peano Arithmetic, Fundamenta Informaticae, V.2, 233-245.
[52]
Kowalczyk, W. (1984), Some connections between presentability of complexity
classes and the power of formal systems of reasoning, Proceedings of the 11th
Symposium on Mathematical Foundations of Computer Science, Lecture Notes in
Computer Science, 176, 364-369.
[53]
Kowalczyk, W., (1984), On the effectiveness of some operations on algorithms,
Proceedings of the 5th Symposium on Computation Theory, Lecture Notes in
Computer Science, 208, 127-133.
[54]
Kowalczyk, W., Urzyczyn, P., (1987), Verification of programs with higher order
arrays, in Proceedings of FCT'87 (Symposium on Fundamentals of Computation
Theory), Lecture Notes In Computer Science, 278.
[55]
Kowalczyk, W., (1989), On the time and space requirements for pushdown automata
of higher order, Fundamenta Informaticae, 1989.
[56]
Kowalczyk, W., Niwinski, D., Tiuryn, J., (1989), A generalization of Cook's
Auxiliary-Pushdown-Automata Theorem, Fundamenta Informaticae, 1989.
[57]
Kowalczyk, W. (1989), Complexity of decision problems under incomplete
information, Proceedings of the 14th Symposium on Mathematical Foundations of
Computer Science, Lecture Notes in Computer Science, 379, 364-369.