Institute of Computer Science, University of Wroclaw, ul. Joliot-Curie 15, 50-383 Wrocław, Poland, Room 203, Email: lipinski@ii.uni.wroc.pl

Publications


  1. Korczak, J., Lipinski, P., "Evolution Strategies: Principles & Prototypes", Research Report 2001/05, Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, CNRS, Université Louis Pasteur, Illkirch, France, 2001.
  2. Korczak, J., Lipinski, P., Roger, P., "New Approach to Problem of Portfolio Optimization", Research Report 2001/06, Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, CNRS, Université Louis Pasteur, Illkirch, France, 2001.
  3. Korczak, J., Lipinski, P., Roger, P., "Portfolio Design and Simulation using Evolution-based Strategy", [in] Proceedings of 5th Ogolnopolska Konferencja Zastosowania Rozwiazan Informatycznych w Instytucjach Finansowych, ed. A. Gospodarowicz, Prace Naukowe AE Nr 907, Wydawnictwo Akademii Ekonomicznej, Wroclaw, Poland, 2001, pp.131-142.
  4. Korczak, J., Lipinski, P., Roger, P., "Evolution Strategy in Portfolio Optimization", [in] Proceedings of 5th International Conference on Artificial Evolution, ed. P. Collet, Le Creusot, France, 2001, pp.225-236.
  5. Korczak, J., Lipinski, P., "Evolutionary Approach to Portfolio Optimization", [in] Proceedings of Workshop on Artificial Intelligence for Financial Time Series Analysis, 10th Portuguese Conference on Artificial Intelligence, Porto, Portugal, 2001.
  6. Korczak, J., Lipinski, P., Roger, P., "Evolution Strategy in Portfolio Optimization", [in] Artificial Evolution, ed. P. Collet, Lecture Notes in Computer Science, vol. 2310, Springer, 2002, pp.156-167.
  7. Korczak, J., Lipinski, P., "Inteligentni agenci : Teoria, metody i zastosowania", [in] Proceedings of 6th Ogolnopolska Konferencja Zastosowania Rozwiazan Informatycznych w Instytucjach Finansowych, ed. A. Gospodarowicz, Prace Naukowe AE Nr 954, Wydawnictwo Akademii Ekonomicznej, Wroclaw, Poland, 2002, pp.299-312.
  8. Lipinski, P., Korczak, J., "Design of Stock Trading System based on Intelligent Agents", [in] Proceedings of 9th International Multi-Conference on Advanced Computer Systems, Production System Design, Supply Chain Management and Logistics, ed. A. Dolgui, J. Soldek, O. Zaikin, Technical University of Szczecin, Szczecin, Poland, 2002, pp.177-186.
  9. Korczak, J., Lipinski, P., "Shortening of Evolutionary Agent Learning using Sequential Pattern Methods", [in] Proceedings of the AISB'03 Third Symposium on Adaptive Agents and Multi-Agent Systems, AAMAS, ed. D. Kazakov, D. Kudenko, E. Alonso, University of Wales, Aberystwyth, UK, 2003, pp.115-119.
  10. Lipinski, P., "Dependency Mining in Large Sets of Stock Market Trading Rules", [in] Proceedings of 10th International Multi-Conference on Advanced Computer Systems, Technical University of Szczecin, Szczecin, Poland, 2003 (electronic edition).
  11. Lipinski, P., Korczak, J., "Performance Measures in an Evolutionary Stock Trading Expert System", [in] Proceedings of the International Conference on Computational Science, ICCS 2004, ed. M. Bubak, G. van Albada, P. Sloot, J. Dongarra, Lecture Notes in Computer Science, vol. 3039, Springer, 2004, pp.835-842.
  12. Korczak, J., Lipinski, P., "Evolutionary Building of Stock Trading Experts in a Real-Time System", [in] Proceedings of the 2004 Congress on Evolutionary Computation, CEC 2004, Portland, IEEE, USA, 2004, pp.940-947.
  13. Lipinski, P., "Clustering of Large Number of Stock Market Trading Rules", [in] Proceedings of the 16th Symposium on Computational Statistics, CompStat 2004, ed. J. Antoch, Springer, 2004, pp.1397-1404.
  14. Michalak, K., Lipinski, P., "Prediction of High Increases in Stock Prices using Neural Networks", [in] Proceedings of the 16th Symposium on Computational Statistics, CompStat 2004, ed. J. Antoch, Springer, 2004, pp.1465-1472.
  15. Lipinski, P., "Dependency Mining in Large Sets of Stock Market Trading Rules", [in] Enhanced Methods in Computer Security, Biometric and Intelligent Systems, ed. J. Pejas, A. Piegat, Kluwer Academic Publishers, 2005, pp.329-336.
  16. Lipinski, P., Korczak, J., "Early Warning in On-line Stock Trading System", [in] Proceedings of the 5th International Conference on Intelligent Systems Design and Applications, ISDA 2005, ed. H. Kwasnicka, M. Paprzycki, IEEE, 2005, pp.538-543.
  17. Bartkowiak, A., Lipinski, P., "Remarks on evaluation of correlation dimension for 5 French stock data", [in] Proceedings of the 7th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2005, West University of Timisoara, Romania, 2005, pp.91-98.
  18. Bartkowiak, A., Lipinski, P., "Remarks on evaluation of correlation dimension for 5 French stock data", [in] Proceedings of the 7th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2005, IEEE, 2005.
  19. Lipinski, P., "Clustering of Large Number of Stock Market Trading Rules", [in] Neural Network World, International Journal on Neural and Mass-Parallel Computing and Information Systems, Vol. 15, No. 4, 2005, pp.351-357.
  20. Michalak, K., Lipinski, P., "Prediction of High Increases in Stock Prices using Neural Networks", [in] Neural Network World, International Journal on Neural and Mass-Parallel Computing and Information Systems, Vol. 15, No. 4, 2005, pp.359-366.
  21. Korczak, J., Lipinski, P., "Technology of Intelligent Agents used in Financial Data Analysis", [in] Proceedings of 5th Ogolnopolska Konferencja Naukowa Nowoczesne Technologie Informacyjne w Zarzadzaniu, NTIZ2006, Prace Naukowe AE, Wydawnictwo Akademii Ekonomicznej, Wroclaw, 2006.
  22. Shami, K., Magoni, D., Lipinski, P., Lorenz, P., "Scalable Distributed k-Resilient Name to Address Binding System for Overlays", [in] Proceedings of 5th International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, ICN/ICONS/MCL 2006, IEEE, 2006.
  23. Lipinski, P., Winczura, K., Wojcik, J., "Building Risk-Optimal Portfolio Using Evolutionary Strategies", [in] Proceedings of EvoWorkshops 2007, ed. M. Giacobini, Lecture Notes in Computer Science, vol. 4448, Springer, 2007, pp.208-217.
  24. Lipinski, P., "Discovering Stock Market Trading Rules using Multi-Layer Perceptrons", [in] Proceedings of 9th International Work Conference on Artificial Neural Networks, IWANN 2007, Lecture Notes in Computer Science, vol. 4507, Springer, 2007, pp.1114-1121.
  25. Lipinski, P., "ECGA vs. BOA in Discoverying Stock Market Trading Experts", [in] Proceedings of Genetic and Evolutionary Computation Conference, GECCO 2007, ACM, 2007, pp.531-538.
  26. Sobczynski, M., Mackiewicz, P., Lipinski, P., Cebrat, S., "Zastosowanie sieci Kohonena i algorytmów ewolucyjnych do różnicowania proteomów prokariotycznych", II Polski Kongres Genetyki, Warszawa, 2007, pp.283-284.
  27. Lipinski, P., "Evolutionary Strategies for Building Risk-Optimal Portfolios", [in] Natural Computing in Computational Finance, Studies in Computational Intelligence, vol. 100, Springer, 2008, pp. 53-65.
  28. Korczak, J., Lipinski, P., "Systemy agentowe we wspomaganiu decyzji na rynku papierów wartościowych", [in] Rozwój informatycznych systemów wieloagentowych w środowiskach społeczno-gospodarczych, Wydawnictwo PLACET, Warszawa, 2008, pp. 289-301.
  29. Lipinski, P., "Evolutionary Decision Support System for Stock Market Trading", [in] Artificial Intelligence: Methodology, Systems, and Applications, Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, vol. 5253, Springer, 2008, pp.405-409.
  30. Lipinski, P., "Neuro-evolutionary Decision Support System for Financial Time Series Analysis", [in] Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, vol. 5271, Springer, 2008, pp.180-187.
  31. Lipinski, P., "Evolutionary Algorithms Equipped with Internal Dimensionality Reduction", [in] Proceedings of Internation Multi-Conference on Advanced Computer Systems, ACS 2008, Miedzyzdroje, 2008.
  32. Sobczynski, M., Mackiewicz, P., Lipinski, P., Cebrat, S., "The application of Self Organizing Maps and evolutionary algorithms to distinguish bacterial proteomes", [in] Proceedings of 7th World Congress in Probability and Statistics, July 14 - 19, 2008, Singapore, pp. 188-189.
  33. Lipinski, P., "Knowledge Patterns in Evolutionary Decision Support Systems for Financial Time Series Analysis", [in] Applications of Evolutionary Computing, ed. M. Giacobini et al., Lecture Notes in Computer Science, vol. 5484, Springer, 2009, pp.203-212.
  34. Lipinski, P., Frequent Knowledge Patterns in Evolutionary Decision Support Systems for Financial Time Series Analysis, [in] Natural Computing in Computational Finance, ed. A. Brabazon et al., Studies in Computational Intelligence, vol. 293, Springer, 2010, pp. 131-145.
  35. Lipinski, P., Personalization of Text Information Retrieval with Bayesian Networks and Evolutionary Algorithms, [in] Proceedings of the Stochastic Modeling Techniques and Data Analysis International Conference, Chania, Greece, 2010.
  36. Lipinski, P., Brzychczy, E., Zimroz, R., Planetary Gearboxes Condition Monitoring under Non-stationary Operations by Adaptive Decision Trees based Classification of Vibration Data in Multidimensional Symptom Space, [in] Proceedings of 6th International Conference Mechatronic Systems and Materials, Opole, Poland, 2010.
  37. Lipinski, P., A Hybrid Evolutionary Algorithm to Quadratic Three-Dimensional Assignment Problem with Local Search for Many-Core Graphics Processors, [in] Intelligent Data Engineering and Automated Learning, ed. C. Fyfe et al., Lecture Notes in Computer Science, vol. 6283, Springer, 2010, pp.343–350.
  38. Lipinski, P., Evolution Strategies for Objective Functions with Locally Correlated Variables, [in] Intelligent Data Engineering and Automated Learning, ed. C. Fyfe et al., Lecture Notes in Computer Science, vol. 6283, Springer, 2010, pp.351–358.
  39. Lipinski, P., Signal Classification with Self-Organizing Mixture Networks, [in] Artificial Intelligence: Methodology, Systems, and Applications, ed. D. Dochev et al., Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence, vol. 6304, Springer, 2010, pp.275-276.
  40. Lipinski, P., A Stock Market Decision Support System with a Hybrid Evolutionary Algorithm for Many-Core Graphics Processors, [in] Euro-Par 2010 Parallel Processing Workshops, Lecture Notes in Computer Science, vol. 6586, Springer, 2011, pp. 455-462.
  41. Filipiak, P., Michalak, K., Lipinski, P., Infeasibility Driven Evolutionary Algorithm with ARIMA based Prediction Mechanism, [in] Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 6936, Springer, 2011, pp. 345-352.
  42. Lipinski, P., Parallel Evolutionary Algorithms for Stock Market Trading Rule Selection on Many-Core Graphics Processors, [in] Natural Computing in Computational Finance, ed. A. Brabazon et al., Studies in Computational Intelligence, vol. 380, Springer, 2012, pp.79-92.
  43. Filipiak, P., Michalak, K., Lipinski, P., A Predictive Evolutionary Algorithm for Dynamic Constrained Inverse Kinematics Problems, [in] Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 7208, Springer, 2012, pp.610-621.
  44. Filipiak, P., Lipinski, P., Parallel CHC Algorithm for Solving Dynamic Traveling Salesman Problem Using Many-Core GPU, [in] Artificial Intelligence: Methodology, Systems and Applications, LNCS, vol. 7557, Springer, 2012, pp. 305-314.
  45. Michalak, K., Filipiak, P., Lipinski, P., Usage Patterns of Trading Rules in Stock Market Trading Strategies Optimized with Evolutionary Methods, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 7835, Springer, 2013, pp. 234-243.
  46. Brzychczy, E., Lipinski, P., Zimroz, R., Filipiak, P., Artificial Immune Systems for Data Classification in Planetary Gearboxes Condition Monitoring, [in] Advances in Condition Monitoring of Machinery in Non-Stationary Operations, Lecture Notes in Mechanical Engineering, Springer, 2014, pp. 235-247.
  47. Lipinski, P., Training Complex Decision Support Systems with Differential Evolution Enhanced by Locally Linear Embedding, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 8602, Springer, 2014, pp. 125-137.
  48. Lipinski, P., Brabazon, A., Pattern Mining in Ultra-High Frequency Order Books with Self-Organizing Maps, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 8602, Springer, 2014, pp. 288-298.
  49. Filipiak, P., Lipinski, P., Infeasibility Driven Evolutionary Algorithm with Feed-Forward Prediction Strategy for Dynamic Constrained Optimization Problems, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 8602, Springer, 2014, pp. 817-828.
  50. Lipinski, P., Optimizing Objective Functions with Non-Linearly Correlated Variables Using Evolution Strategies with Kernel-Based Dimensionality Reduction, [in] Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 8480, 2014, Springer, pp. 342-353.
  51. Michalak, K., Filipiak, P., Lipinski, P., Multiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator, [in] Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 8669, 2014, pp. 199-206.
  52. Filipiak, P., Lipinski, P., Univariate Marginal Distribution Algorithm with Markov Chain Predictor in Continuous Dynamic Environments, [in] Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 8669, 2014, pp. 404-411.
  53. Lancucki, A., Chorowski, J., Michalak, K., Filipiak, P., Lipinski, P., Continuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems, [in] Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 8669, 2014, pp. 457-464.
  54. Lipinski, P., Training Financial Decision Support Systems with Thousands of Decision Rules Using Differential Evolution with Embedded Dimensionality Reduction, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 9028, Springer, 2015, pp. 289-301.
  55. Filipiak, P., Lipinski, P., Making IDEA-ARIMA Efficient in Dynamic Constrained Optimization Problems, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 9028, Springer, 2015, pp. 882-893.
  56. Lancucki, A., Saha, I., Lipinski, P., A New Evolutionary Gene Selection Technique, [in] Proceedings of IEEE Congress of Evolutionary Computation, 2015, pp. 1612-1619.
  57. Filipiak, P., Michalak, K., Lipinski, P., Infeasibility Driven Evolutionary Algorithm with the Anticipation Mechanism for the Reaching Goal in Dynamic Constrained Inverse Kinematics, [in] Proceedings of Genetic and Evolutionary Computation Conference, GECCO, ACM, 2015.
  58. Lipinski, Michalak, Lancucki, Improving Classification of Patterns in Ultra-High Frequency Time Series with Evolutionary Algorithms, [in] Proceedings of Genetic and Evolutionary Computation Conference, GECCO, ACM, 2016, pp. 127-128.
  59. Michalak, K., Lancucki, A., Lipinski, P., Multiobjective Optimization of Frequent Pattern Models in Ultra-High Frequency Time Series: Stability versus Universality, [in] Proceedings of IEEE Congress of Evolutionary Computation, 2016, pp.
  60. Lancucki, A., Bhowmick, S., Saha, I., Maulik, U., Lipinski, P., A New Evolutionary MicroRNA Marker Selection using Next-Generation Sequencing Data, [in] Proceedings of IEEE Congress of Evolutionary Computation, 2016, pp.
  61. Brabazon, A., Lipinski, P., Hamill, P., Characterising Order Book Evolution Using Self-Organising Maps, [in] Evolutionary Intelligence, vol. 9, no. 4, Springer, 2016, pp. 167-179.
  62. Filipiak, P., Lipinski, P., Dynamic Portfolio Optimization in Ultra-High Frequency Environment, [in] Applications of Evolutionary Computation, Lecture Notes in Computer Science, Springer, 2017 (to appear).
  63. Lipinski, P., Solving the Firefighter Problem with Two Elements using a Multi-modal Estimation of Distribution Algorithm, [in] Proceedings of IEEE Congress of Evolutionary Computation, IEEE, 2017 (to appear).
  64. Lipinski, P., Optimization of Representation for Extracting Knowledge from Ultra-High Frequency Time Series, [in] Proceedings of IEEE Congress of Evolutionary Computation, IEEE, 2017 (to appear).


others

  1. Korczak, J., Kustner, P., Lipinski, P., "Expertise boursičre en temps réel : le systčme Bourse-Experts", [in] Conférence Francophone d’Apprentissage, CAp'2002, posters session, Orléans, France, 2002.
  2. Korczak, J., Kustner, P., Lipinski, P., "Systčmes d’aide ŕ la décision boursičre", [in] Conférence Francophone d’Apprentissage, CAp'2002, posters session, Orléans, France, 2002.
  3. Lipinski, P., "Agents intelligents : découverte d’expertise boursičre ŕ partir de séries boursičres en temps réel", [in] Journée Posters, Ecole Doctorale des Sciences Pour l’Ingénieur, Université Louis Pasteur, Strasbourg, France, 2002.
  4. Lipinski, P., Korczak, J., "Architectural Issues of Evolutionary Learning Agents in Real-Time Stock Trading System", [in] AgentLink Meeting, European Inter-Network SIG on Agents that Learn, Adapt & Discover, ALAD SIG, Barcelone, Spain, 2003.