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  • Publikacje Pracowni Inteligencji Obliczeniowej w roku 2017

    1. P. Wnuk-Lipiński, K. Michalak, A. Łańcucki, Improving classification of patterns in ultra-high frequency time series with evolutionary algorithms, W: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion (GECCO '16 Companion) / Tobias Friedrich (ed.). - New York : ACM, 2017. - S. 127-128. (http://dx.doi.org/10.1145/2908961.2909042)
  • Publikacje Pracowni Inteligencji Obliczeniowej w roku 2016

    1. A. Kaczmarek, M. Marcińczuk, Evaluation of coreference resolution tools for Polish from the information extraction perspective, BSNLP 2015 : 5th Workshop on Balto-Slavic Natural Language : associated with the 10th International Conference on Recent Advances in Natural Language Processing, RANLP 2015, Hissar, Bulgaria, September 10-11, 2015; proceedings / sponsored by SIGSLAV. - Shumen : INCOMA Ltd, 2016.- S. 24-33. (http://aclweb.org/anthology/W/W15/W15-53.pdf).
    2. J. Chorowski, D. Bahdanau, D. Serdyuk, K. Cho, Y. Bengio, Attention-based models for speech recognition, W: 29th Annual Conference on Neural Information Processing Systems 2015, December 7-12, 2015, Montreal, Quebec, Canada / Corinna Cortes, Neil D. Lawrence, Daniel D. Lee, Masashi Sugiyama, Roman Garnett (eds.). - Red Hook, N.Y : Curran, 2016. - (Advances in Neural Information Processing Systems ; 28).- S. 577-585. (http://tinyurl.com/jpb3jkz)
    3. D. Bahdanau, J. Chorowski, D. Serdyuk, P. Brakel, Y. Bengio, End-to-end attention-based large vocabulary speech recognition, W: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016. - [Piscataway] : Institute of Electrical and Electronics Engineers, 2016. - S. 4945-4949. (http://dx.doi.org/10.1109/ICASSP.2016.7472618)
    4. P. Filipiak, B. Golenko, C. Dołęga, NSGA-II based auto-calibration of automatic number plate recognition camera for vehicle speed measurement, // W: Applications of Evolutionary Computation : 19th European Conference, EvoApplications 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings, Part I / Giovanni Squillero, Paolo Burelli (eds.). - Cham : Springer International Publishing - Springer, 2016. - (Lecture Notes in Computer Science ; 9597).- S. 803-818. (http://dx.doi.org/10.1007/978-3-319-31204-0_51)
    5. A. Łańcucki, I. Saha, S. S. Bhowmick, U. Maulik, P. Wnuk-Lipiński, A new evolutionary microRNA marker selection using next-generation sequencing data, W: 2016 IEEE Congress on Evolutionary Computation (CEC), 24 - 29 July 2016, Vancouver, Canada. - Piscataway : IEEE, 2016. - S. 2752-2759. (http://dx.doi.org/10.1109/CEC.2016.7744136)
    6. A. Brabazon, P. Wnuk-Lipiński, P. Hamill, Characterising order book evolution using self-organising maps, Evolutionary Intelligence. - Vol. 9, iss. 4 (2016), s. 167-179. (http://dx.doi.org/10.1007/s12065-016-0149-y)
    7. K. Michalak, A. Łańcucki, P. Wnuk-Lipiński, Multiobjective optimization of frequent pattern models in ultra-high frequency time series: stability versus universality, W: 2016 IEEE Congress on Evolutionary Computation (CEC), 24 - 29 July 2016, Vancouver, Canada. - Piscataway : IEEE, 2016. - S. 3491-3498. (http://dx.doi.org/10.1109/CEC.2016.7744232)
  • Publikacje Zakładu Inteligencji Obliczeniowej w roku 2015

    1. J. Chorowski, J.M. Zurada, Learning understandable neural networks with nonnegative weight constraints, IEEE Transactions on Neural Networks and Learning Systems . - Vol.26, iss.1 (2015), s. 62 - 69. (http://dx.doi.org/10.1109/TNNLS.2014.2310059).
    2. A. Faleńska, A. Björkelund, Ö. Cetinoglu, W. Seeker, Stacking or supertagging for dependency parsing - what's the difference, IWPT 2015 : proceedings of the 14th International Conference on Parsing Technologies, July 22-24, 2015, Bilbao, Spain / John Carroll, Koldo Gojenola, Stephan Oepen (chairs). - Stroudsburg : Association for Computational Linguistics, 2015. - S. 118-129. (http://www.aclweb.org/anthology/W15-2215).
    3. A. Kaczmarek, M. Marcińczuk, Heuristic algorithm for zero subject detection in Polish, Text, speech, and dialogue : 18th international conference, TSD 2015, Pilsen, Czech Republic, September 14-17, 2015 ; proceedings / Pavel Král, Václav Matoušek (eds.). - Cham : Springer, 2015. - (Lecture notes in computer science ; 9302). - S. 378-386. (http://dx.doi.org/10.1007/978-3-319-24033-6_43).
    4. P. Filipiak, K. Michalak, P. Wnuk-Lipiński, Infeasibility driven evolutionary algorithm with the anticipation mechanism for the reaching goal in dynamic constrained inverse kinematics, GECCO Companion '15 : proceedings of the companion publication of the 2015 Annual Conference on Genetic and Evolutionary Computation ; July 11 - 15, Madrid, Spain / Sara Silva (ed.). - New York : ACM, 2015.- S. 1389-1390. (http://dx.doi.org/10.1145/2739482.2764683).
    5. P. Filipiak, P. Wnuk-Lipiński, Making IDEA-ARIMA efficient in dynamic constrained optimization problems, Applications of Evolutionary Computation : 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings / Antonio M. Mora, Giovanni Squillero (eds.). - Cham : Springer International Publishing, 2015. - (Lecture Notes in Computer Science ; 9028).- S. 882-893. (http://dx.doi.org/10.1007/978-3-319-16549-3_71).
    6. I. Saha, P. Wnuk-Lipiński, A. Łańcucki, A new evolutionary gene selection technique, IEEE Congress on Evolutionary Computation (CEC), 2015 : 25-28 May 2015, Sendai, Japan ; proceedings. - Piscataway : IEEE, 2015. - S. 1612-1619. (http://dx.doi.org/10.1109/CEC.2015.7257080).
    7. P. Wnuk-Lipiński, Training financial decision support systems with thousands of decision rules using differential evolution with embedded dimensionality reduction, Applications of Evolutionary Computation : 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings / Antonio M. Mora, Giovanni Squillero (eds.). - Cham : Springer International Publishing, 2015. - (Lecture Notes in Computer Science ; 9028). - S. 289-301. (http://dx.doi.org/10.1007/978-3-319-16549-3_24).
  • Publikacje Zakładu Inteligencji Obliczeniowej w roku 2014

    1. P. Filipiak, P. Wnuk-Lipiński, E. Brzychczy, R. Zimroz, Artificial Immune Systems for Data Classification in Planetary Gearboxes Condition Monitoring, Advances in Condition Monitoring of Machinery in Non-Stationary Operations, Lecture Notes in Mechanical Engineering, Springer, 2014, pp. 235-247. (http://dx.doi.org/10.1007/978-3-642-39348-8_20).
    2. P. Wnuk-Lipiński, Training Complex Decision Support Systems with Differential Evolution Enhanced by Locally Linear Embedding, Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 8602, Springer, 2014, pp. 125-137. (http://dx.doi.org/10.1007/978-3-662-45523-4_11).
    3. A. Brabazon, P. Wnuk-Lipiński, Pattern Mining in Ultra-High Frequency Order Books with Self-Organizing Maps, Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 8602, Springer, 2014, pp. 288-298. (http://dx.doi.org/10.1007/978-3-662-45523-4_24).
    4. P. Filipiak, P. Wnuk-Lipiński, Infeasibility Driven Evolutionary Algorithm with Feed-Forward Prediction Strategy for Dynamic Constrained Optimization Problems, Applications of Evolutionary Computation, Lecture Notes in Computer Science, vol. 8602, Springer, 2014, pp. 817-828. (http://dx.doi.org/10.1007/978-3-662-45523-4_66).
    5. P. Wnuk-Lipiński, Optimizing Objective Functions with Non-Linearly Correlated Variables Using Evolution Strategies with Kernel-Based Dimensionality Reduction, Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 8480, 2014, Springer, pp. 342-353. (http://dx.doi.org/10.1007/978-3-319-07617-1_31).
    6. P. Filipiak, K. Michalak, P. Wnuk-Lipiński, Multiobjective Dynamic Constrained Evolutionary Algorithm for Control of a Multi-segment Articulated Manipulator, Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 8669, 2014, pp. 199-206. (http://dx.doi.org/10.1007/978-3-319-10840-7_25).
    7. P. Filipiak, P. Wnuk-Lipiński, Univariate Marginal Distribution Algorithm with Markov Chain Predictor in Continuous Dynamic Environments, Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 8669, 2014, pp. 404-411. (http://dx.doi.org/10.1007/978-3-319-10840-7_49).
    8. J. Chorowski, P. Filipiak, K. Michalak, P. Wnuk-Lipiński, A. Łańcucki, Continuous Population-Based Incremental Learning with Mixture Probability Modeling for Dynamic Optimization Problems, Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, vol. 8669, 2014, pp. 457-464. (http://dx.doi.org/10.1007/978-3-319-10840-7_55).
    9. J. Chorowski, J. Wang, J.M. Zurada, Review and performance comparison of SVM- and ELM-based classifiers, Neurocomputing 128, 507-516. (http://dx.doi.org/10.1016/j.neucom.2013.08.009).
    10. J. Chorowski, J.M. Zurada, Learning Understandable Neural Networks With Nonnegative Weight Constraints, Transactions on Neural Networks and Learning Systems PP, 1-1. (http://dx.doi.org/doi:10.1109/TNNLS.2014.2310059).
    11. S. Dey, U. Maulik, S. Bhattacharyya, I. Saha, Multi-level Thresholding using Quantum Inspired Meta-heuristics, Knowledge-Based Systems, Vol. 67, pp. 373-400, 2014. (http://dx.doi.org/10.1016/j.knosys.2014.04.006).
    12. A. Faleńska, A. Björkelund, Ö. Cetinoglu, R. Farkas, T. Mueller, W. Seeker, Z. Szántó, Introducing the IMS-Wrocław-Szeged-CIS entry at the SPMRL 2014 Shared Task: Reranking and Morpho-syntax meet Unlabeled, Proceedings of the First Joint Workshop on Statistical Parsing of Morphologically Rich Languages and Syntactic Analysis of Non-Canonical Languages. (http://www.aclweb.org/anthology/W14-6110).
  • Publikacje Zakładu Inteligencji Obliczeniowej w roku 2013

    P. Filipiak, K. Michalak, P. Wnuk-Lipiński, Usage Patterns of Trading Rules in Stock Market Trading Strategies Optimized with Evolutionary Methods, Applications of Evolutionary Computation, Springer 2013, (Lecture Notes in Computer Science, vol. 7835), s.234-243. (http://dx.doi.org/10.1007/978-3-642-37192-9_24).