I am a research scientist at Wroclaw University of Science and Technology in the Department of Computer Engineering.

Roadmap

Links | Education | Research Interests | PhD Students | Activities | Publications | Teaching | Misc | Contact

Links

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Education

• Titular Professor (2020)
• Associate Professor of Wroclaw University of Science and Technology, Faculty of Electronics (2012)
• D.Sc. (Habilitation) in Computer Science, Faculty of Computer Science and Management, Wroclaw University of Technology (2011)
• Ph.D. in Computer Science, Faculty of Electronics, Wroclaw University of Technology (1994)
• M.Sc. in Control Engineering, Faculty of Electronics, Wroclaw University of Technology (1991)
• M.Sc. in Computer Engineering, Faculty of Electronics, Wroclaw University of Technology (1989)

Research Interests

• computational learning (evolutionary algorithms, learning classifier systems, fuzzy rule systems)
• machine learning (grammatical inference)
• bioinformatics
• DNA Computing
• natural language processing (finite-state formalisms and methods, syntactic parsing techniques)

PhD Students

• Ngoc Trung Nguyen. A method for assessing the compliance of system architectures with organizational rules and enterprise architectural standards using large language models, taking into account uncertainty, exceptions, and the auditability of decisions (2026-)
• Mateusz Łabędzki. Integration of Subgoal Generation and Experience Prioritization Methods in Anticipatory Learning Classifier Systems for Environments with Sparse Rewards (2025-)
• Dr. Wojciech Dobrowolski. Application of real-time machine learning for diagnostics and fault location in relay stations (BTS) (2025)
• Dr. Maciej Troć. Mechanisms of adaptation in learning classifier systems (2024)
• Dr. Zbigniew Pliszka. New methods of searching the binary vector space in solving selected optimization problems (2022)
• Dr. Norbert Kozłowski. Real-valued anticipatory learning classifier system (2020)
• Dr. Łukasz Cielecki. Application of an evolutionary induction system of grammar in the classification of objects (2014)

Activities

• Leading guest editor of the Special Issue on Grammatical Inference of the Machine Learning journal
• Member of Topics Board of Applied Sciences Journal
• Co-chair of ICGI 2018
• Principal Investigator of project no. 2016/21/B/ST6/02158 supported by National Science Centre Poland (NCN)
• Member of Polish Bioinformatics Society
• Member of Think Tank of World Federation on Soft Computing

Member of International Technical/Program/Scientific Committees:

• Genetic and Evolutionary Computation Conference GECCO-2026 - EML PC Member, July 13 - 17, 2026, San José, Costa Rica
• 18th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2025), 13-15 April 2026, Kaohsiung, Taiwan
• 17th International Conference on Grammatical Inference (ICGI 2026), TU Delft, the Netherlands
• 17th International Conference on Computational Collective Intelligence (ICCCI 2025), Tokushima, Japan from June 27-29, 2025
• 17th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2025), 23-25 April; Kitakyushu, Japan
• 16th International Conference on Computational Collective Intelligence (ICCCI 2024), Leipzig, Germany, September 9–11, 2024
• 15th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2023), 15-18 April; Ras Al Khaimah, United Arab Emirates
• 15th International Conference on Computational Collective Intelligence (ICCCI 2023), Budapest, Hungary, September 27-29, 2023
• The 16th International Conference on Grammatical Inference (ICGI), Rabat, Morocco on 10-13 July 2023
• 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022), 2022, 28-11-2022 - 30-11-2022, Ho Chi Minh City, Wietnam
• 13th International Conference on Computational Collective Intelligence (ICCCI 2021), 9 September – 1 October 2021. Rhodes, Greece
• 13th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2021), Phuket, Thailand, April 7–10, 2021
• The 13th International Conference on Computer Science and Information Technology (ICCSIT), Amsterdam, The Netherlands during October 14-16, 2020
• 12th International Conference on Computational Collective Intelligence (ICCCI 2020), Da Nang, Vietnam, November 30 – December 3, 2020
• 6th International Conference on machine Learning, Optimization and Data science (LOD 2020), 19th to 22nd July 2020. Siena, Tuscany, Italy
• the 15th International Conference on Grammatical Inference (ICGI) August 26-28, 2020, Manhattan, New-York, USA
• Intelligent Information and Database Systems. 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020
• LOD 2019 The Fifth International Conference on Machine Learning, Optimization, and Data Science, September 10-13, Siena – Tuscany, Italy, 2019
• ICCCI 2019 The 11th edition of the International Conference on Computational Collective Intelligence, 2019
• the Federated Conference on Computer Science and Information Systems (FedCSIS 2019),Leipzig, Germany, 1-4 September 2019
• the International Conference on Grammar Inference (ICGI) 2018,Wrocław, Polska, 2018
• 11th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2019), Yogyakarta, Indonesia 8-11 April 2019
• 12th IEEE International Conference on Human System Interaction IEEE HSI 2019, Richmond, USA, June 25-27, 2019
• SoCPaR 2018 10th International Conference on Soft Computing and Pattern Recognition, 2018
• HIS 2018 18th International Conference on Hybrid Intelligent Systems, 2018
• LOD 2018 4th International Conference on Machine Learning, Optimization and Data Science, 2018
• ICCCI 2018 10th International Conference on Computational Collective Intelligence, 2018
• the Federated Conference on Computer Science and Information Systems (FedCSIS 2018), Poznan, Poland, 9-12 September, 2018
• ICCSIT 2017 The 2017 10th International Conference on Computer Science and Information Technology, Florence, Italy October 23-25, 2017
• 10th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2018, 2018
• 12th International Symposium Advances in Artificial Intelligence and Applications, FedCSIS, 2017
• 3rd International Workshop, on Machine learning, Optimization and big Data MOD 2017, Volterra, Italy, 2017
• 9th International Conference on Computational Collective Intelligence, ICCCI 2017, 2017
• 9th Asian Conference on Intelligent Information and Database Systems ACIIDS 2017, Kanazawa, Japan, 2017
• International Conference on Pattern Recognition Applications and Methods ICPRAM 2017
• Symposium on Bioinformatics and Bioforensics (SBB’16), 2016
• the International Conference on Grammar Inference (ICGI) 2016, Delft, the Netherlands, 2016
• 11th International Symposium Advances in Artificial Intelligence and Applications, FedCSIS, Gdansk, Poland, 2016
• The Third European Network Intelligence Conference ENIC 2016, Wrocław, Polska, 2016
• International Conference on Pattern Recognition Applications and Methods ICPRAM 2016
• Conference on Computing, Management and Educational Tech , ComManTel 2015
• 10th International Symposium Advances in Artificial Intelligence and Applications, FedCSIS, Gdansk, Poland, 2015
• 7th International Conference on Computational Collective Intelligence ICCCI 2015, Madrid, 2015
• Technologies and Applications. International Workshop on Bio-inspired and Deep Learning Approaches to Advanced Computing and Communications 2015 (BIOADCOM’15), New York, NY.
• International Conference on Pattern Recognition Applications and Methods ICPRAM 2015
• Conference on Computing, Management and Educational Tech, ComManTel 2015, 2015
• The World Online Conference on Soft Computing in Industrial Applications (WSC 18), 2014
• Federated Conference on Computer Science and Information Systems (FedCSIS), 2014
• 6th International Conference on Computational Collective Intelligence (ICCCI 2014) Seoul, Korea, ICCCI 2014
• 6th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2014) Bangkok, Thailand, 2014
• International Conference on Advances in Computing, Communications and Informatics ICACCI 2014, 2014
• 8th International Symposium Advances in Artificial Intelligence and Applications (AAIA’13), Warsaw, Poland
• 11th Workshop on Bioinformatics, Wroclaw, Poland, 2013
• Federated Conference on Computer Science and Information Systems (FedCSIS), 2013
• 13th International Conference on Hybrid Intelligent Systems (HIS 2013), Tunis, Tunisia, 2013
• The International Conference on Intelligent Systems Design and Applications (ISDA 2013), Malaysia, 2013
• International Workshop on Bio-Inspired Computing (BioCom’13), Mysore, India, 2013
• Pan African International Conference on Information Science, Computing and Telecommunications (2013), 2013
• The 5th International Conference on Soft Computing and Pattern Recognition (SoCPaR’13), Hanoi, Vietnam, 2013
• The 5th International Conference on Management of Emergent Digital EcoSystems (MEDES 2013), Neumünster Abbey, Luxembourg, 2013
• The 5th Asian Conference on Intelligent Information and Database Systems 2013 (ACIIDS 2013), Kuala Lumpur, Malaysia, 2013
• Fourth International Conference of Soft Computing and Pattern Recognition SoCPaR 2012, Darussalam, Brunei 2012
• The 12th International Conference on Intelligent Systems Design and Applications ISDA’12, Kochi, India 2012
• International Conference on Hybrid Intelligent Systems HIS’12, Pune, India, 2012
• 7th International Conference on Hybrid Artificial Intelligence Systems HAIS12, Salamanka, Hiszpania 2012
• International Journal of Applied Mathematics and Computer Science, Special Issue on Hybrid and Ensemble Methods in Machine Learning, 2012
• WSC 2011 Online World Conference on Soft Computing in Industrial Applications, 2011
• the Special Session on Multiple Model Approach to Machine Learning MMAML 2011, Daegu, Korea 2011
• the International ACM Conference on Management of Emergent Digital EcoSystems MEDES’11, San Francisco, California 2011
• International Conference on Hybrid Intelligent Systems HIS’11, Mallaca, Malaysia 2011
• the Special Session on Multiple Model Approach to Machine Learning (MMAML 2011), Daegu, Korea, 2011
• WSC 2010 Online World Conference on Soft Computing in Industrial Applications, 2010
• Tenth International Conference on Hybrid Intelligent Systems” (HIS 2010), Atlanta, USA, 2010
• The World Congress on Nature and Biologically Inspired Computing (NaBIC 2010), Kitakyushu, Japan, 2010
• The International ACM conference on “Management of Emergent Digital EcoSystems (MEDES’10), Bangkok, Thailand, 2010
• WSC 2009 Online World Conference on Soft Computing, 2009
• the International Conference on Soft Computing and Pattern Recognition (SoCPaR 2009), Malacca, Malaysia, 2009
• 8th International Conference on Computer Information Systems and Industrial Management Applications (CISIM 2009), Coimbatore, India, 2009
• International ACM conference on “Management of Emergent Digital EcoSystems (MEDES’09), Lyon, France, 2009
• The Ninth International Conference on Hybrid Intelligent Systems (HIS09) Shenyang, LiaoNing, China, 2009
• WSC 2008 Online World Conference on Soft Computing, 2008
• The World Congress on Nature and Biologically Inspired Computing (NaBIC 2009), Bhubaneswar, Orissa, India, 2009
• The First IEEE International Conference on the Applications of Digital Information and Web Technologies ICADIWT 2008, Czech Republic, 2008
• Fifth IEEE International Conference on Soft Computing as Transdisciplinary Science and Technology CSTST’08, University of Cergy Pontoise, France, 2008
• Intelligent Systems Design and Application ISDA 2008, Kaohsiung, Taiwan, 2008
• 3rd WSEAS Int. Conf. on Mathematical Biology and Ecology MABE’07, Australia, 2007
• Hybrid Intelligent Systems HIS’08, Barcelona, Spain, 2008
• WSEAS Int. Conf. on Cellular and Molecular Biology, Biophysics and Bioengineering, Athens, Greece, 2006
• 7th WSEAS Int. Conf. on Mathematics and Computers in Biology and Chemistry MCBC’06, Croatia, 2006
• IEEE Int. Conf. on Engineering of Intelligent Systems ICEIS’2006, Islamabad, Pakistan, 2006
• Intelligent Systems Design and Application ISDA’05, Wroclaw, Poland, 2005
• Intelligent Processing and Manufacturing of Materials IPMM-2005, California, USA, 2005
• 6th WSEAS Int. Conf. on Acoustics and Music: Theory and Applications AMTA’05, Buenos Ayres, Argentina, 2005
• 6th WSEAS Int. Conf. on Mathematics and Computers in Biology and Chemistry MCBC’05, Buenos Ayres, Argentina, 2005
• 6th WSEAS Int. Conf. on Mathematics and Computers in Business and Economics MCBE’05, Buenos Ayres, Argentina, 2005
• 6th WSEAS Int. Conf. on Automation and Information ICAI’05, Buenos Ayres, Argentina, 2005
• 2005 WSEAS Int. Conf. on Dynamical Systems and Control CONTROL’05, San Diego, California, USA, 2005
• 2005 WSEAS Int. Conf. on Applied Electromagnetics, Wireless and Optical Communications ELECTROSCIENCE’05, San Diego, California, USA, 2005
• Intelligent Systems Design and Application ISDA’04, Budapest, Hungary, 2004
• Hybrid Intelligent Systems HIS’04, Kitakyushu, Japan, 2004
• 6th WSEAS Int. Conf. on Mathematical Methods and Computational Techniques in Electrical Engineering MMACTEE 2004, Vouliagmeni, Athens, Greece, 2004
• 3rd WSEAS Int. Conf. on Non-linear Analysis, non-linear Systems and Chaos NOLASC 2004, Vouliagmeni, Athens, Greece, 2004
• 4th WSEAS Int. Conf. on Wavelet Analysis and Multirate Systems WAMUS 2004, Vouliagmeni, Athens, Greece, 2004
• WSEAS Int. Conf. on Automation and Information ICAI’04, Venice, Italy, 2004
• WSEAS Int. Conf. on Engineering Education EE’04, Venice, Italy, 2004
• 4th WSEAS Int. Conf. on Soft Computing, Optimization, Simulation and Manufacturing Systems SOSM 2004, Miami, Florida, USA, 2004
• 4th WSEAS Int. Conf. on Information Science, Communications and Applications ISA 2004, Miami, Florida, USA, 2004
• 4th WSEAS Int. Conf. on Instrumentation, Measurement, Control, Circuits and Systems IMCCAS 2004, Miami, Florida, USA, 2004
• 5th WSEAS Int. Conf. on Applied Mathematics, Miami, Florida, USA, 2004
• Hybrid Intelligent Systems HIS’03, Melbourne, Australia, 2003
• Intelligent Processing and Manufacturing of Materials IPMM-2003, Sendai, Japan, 2003
• Intelligent Systems Design and Application ISDA’03, Tulsa, Oklahoma, USA, 2003
• Hybrid Intelligent Systems HIS’02, Chile, 2002
• Intelligent Processing and Manufacturing of Materials IPMM-2001, Vancouver, Canada, 2001
• Online World Conference on Soft Computing in Industrial Applications, 2001-On the Internet, 2001

Publications

Books

• Unold O. Ewolucyjne wnioskowanie gramatyczne (Evolutionary grammatical inference), Oficyna Wydawnicza Politechniki Wroclawskiej, Wroclaw, 2006 (in Polish)

ISI Master Journals

• Pieklik W., Unold O. (2026). Bagging folds using synthetic majority oversampling for imbalance classification. Applied Soft Computing, 116414.
• Danylenko I., Unold O. (2026), Common Pitfalls and Recommendations for Use of Machine Learning in Depression Severity Estimation: DAIC-WOZ Study. Applied Sciences, 16(1), 422.
• Szyc K., Hebda M., Dembiński K., Zdunek M., Unold O. (2025), Video-Based Automated Lameness Detection for Dairy Cows. Sensors, 25(18), 5771.
• Dobrowolski W., Iwach-Kowalski K., Nikodem M. , Unold O. (2024), Log-based fault localization with unsupervised log segmentation. Applied Sciences. vol. 14, nr 18, art. 8421, s. 1-14.
• Dobrowolski W., Libura M., Nikodem N., Unold O. (2024), Unsupervised log sequence segmentation. IEEE Access. vol. 12, s. 79003-79013.
• Łabędzki M., Unold O. (2023), D0L-System inference from a single sequence with a genetic algorithm. Information. vol. 14, nr 6, art. 343, s. 1-16.
• Dobrowolski W., Nikodem M., Unold O. (2023), Software failure log analysis for engineers - review. Electronics. vol. 12, nr 10, art. 2260, s. 1-21.
• Śmierzchała Ł., Kozłowski N., Unold O. (2023), Anticipatory classifier system with episode-based experience replay. IEEE Access. vol. 11, s. 41190-41204.
• Kozłowski N., Unold O. (2022), Internalizing knowledge for Anticipatory Classifier Systems in discretized real-valued environments. IEEE Access. vol. 10, s. 33816-33828.
• Kozłowski N., Unold O. (2021), Anticipatory classifier system with average reward criterion in discretized multi-step environments. Applied Sciences. vol. 16, nr 3, art. 1098, s. 1-16.
• Gabor M., Wieczorek W., Unold O. (2021), Split-based algorithm for weighted context-free grammar induction. Applied Sciences. vol. 11, nr 3, art. 1030, s. 1-13.
• Wieczorek W. Jastrząb T., Unold O. (2020), Answer set programming for regular inference. Applied Sciences. vol. 10, nr 21, art. 7700, s. 1-18.
• Wieczorek W., Unold O., Strąk L. (2020), Parsing expression grammars and their induction algorithm. Applied Sciences. vol. 10, nr 23, art. 8747, 1-16.
• Jureczko M., Ngoc Trung Nguyen, Szymczyk M. and Unold O. (2019), Towards implementing defect prediction in the software development process, Journal of Intelligent & Fuzzy Systems. vol. 37, nr 6, 7223-7238.
• Rorbach G., Unold O., Konopka B.M. (2018), Distinguishing mirtronsfrom canonical miRNAs with data exploration and machine learningmethods, Scientific Reports, vol. 8, art. 7560, 1–13.
• R. Ptak, B. Żygadło, O. Unold (2017), Projection-based text line segmentation with a variable threshold. International Journal of Applied Mathematics and Computer Science. vol. 27, nr 1, 195-206.
• Sikora, A. Rodak, O. Unold, P. Klapetek (2016), The development of the spatially correlated adjustment wavelet filter for atomic force microscopy data. Ultramicroscopy. vol. 171, 146-152.
• W. Wieczorek, O. Unold (2016), Use of a novel grammatical inference approach in classification of amyloidogenic hexapeptides. Computational and Mathematical Methods in Medicine., vol. 2016,1-8.
• E. Walkowicz, O. Unold, H. Maciejewski, P. Skrobanek (2014), The effect of selected factors on the length of gestation period in Silesian mares. Animal Science Papers and Reports. 2014, vol. 32, nr 1, 55-64.
• Stanisławski J., Kotulska M., Unold O. (2013), Machine learning methods are compatible with 3D profile classification of amylogenic hexapeptides, BMC Bioinformatics, vol. 14 (21), 1-19.
• M. Kotulska, O. Unold (2013), On the amyloid datasets used for training PAFIG - how (not) to extend the experimental dataset of hexapeptides. BMC Bioinformatics vol. 14, [art.] 351, 1-8.
• Walkowicz E., Maciejewski H., Unold O., Skrobanek P. (2012), The Influence of Schweres Warmblut breed stallions on Silesian breed horses exterior, J. Anim. Feed Sci., vo. 22 (3), 272-277.
• Walkowicz E., Unold O., Maciejewski H., Skrobanek P. (2011), Zoometric indices in Silesian horses in the years 1945-2005, Ann. Anim. Sci., 11(4), 555-565.
• Mężyk E., Unold O. (2011), Machine Learning Approach to Model Sport Training, Computers in Human Behavior, Elsevier, 27(5), 1499-1506.
• Troć M., Unold O. (2011), Self-adaptation of learning rate in XCS working in noisy and dynamic environments, Computers in Human Behavior, Elsevier, 27(5), 1535-1544.
• Mężyk E., Unold O. (2011), Mining Fuzzy Rules Using an Artificial Immune System with Fuzzy Partition Learning, Applied Soft Computing, Elsevier, 11(2), 1965-1974.
• Unold O. (2010) Self-adaptive learning classifier system, Journal of Circuits, Systems, and Computers, World Scientific Publishing, 19(1) 275-296.
• Unold O., Troć M. (2010) Self-adaptation of Parameters in a Learning Classifier System Ensemble Machine, Int. J. Appl. Math. Comput. Sci., University of Zielona Góra, 20(1), 157-174.
• Unold O., Jaworski M. (2010), Learning context-free grammar using improved tabular representation, Applied Soft Computing, Elsevier 10, 44-52.
• Unold O., Tuszyński K. (2008), Mining Knowledge from Data using Anticipatory Classifier System, Knowledge-Based Systems, Elsevier, 21 (5), 363-370.
• Cielecki L., Unold O. (2007), Real-valued GCS classifier system, Int. J. Appl. Math. Comput. Sci., University of Zielona Góra, 17(4), 539-547.
• Unold O. (2005), Playing a toy-grammar with GCS, [w:] Mira J., Álvarez J.R. (red.) IWINAC 2005, LNCS 3562, 300–309.

Chapters in books

• M. Chwedziak, O. Unold (2014), W poszukiwaniu efektywnego monitoringu działań konsumenckich internautów, czyli o zastosowaniu analityki internetowej w e-biznesie. W: Oblicza Internetu : sieciowe dyskursy : (roz)poznawanie cyfrowego świata / red. nauk. Marek Sokołowski. Elbląg : Wydawnictwo Państwowej Wyższej Szkoły Zawodowej, 2014. 399-408.
• Skrobanek P., Dobrowolski M., Walkowicz E., Unold O., Maciejewski H. (2011), Zastosowanie procesów ETL do integracji danych na przykładzie danych hodowlanych koni rasy śląskiej, rozdział w: Integracja systemów informatycznych: nowe wyzwania / red. Janusz Górski, Cezary Orłowski. Gdańsk: Pomorskie Wydawnictwo Naukowo-Techniczne PWNT, 65-76.
• Więcławek T., Unold O. (2010), Zastosowanie metod eksploracji danych w analizie sieci społecznych, [w:] Sokołowski M. (red.) Oblicza Internetu: (re)definiowanie sieci, Wydawnictwo Państwowej Wyższej Szkoły Zawodowej, Elbląg, 205-217.
• Mężyk E., Unold O. (2009), Improving Mining Fuzzy Rules with Artificial Immune Systems by Uniform Population [w:] Mehnen J. i in. (red.) Applications of Soft Computing, AISC 58, Springer-Verlag Berlin Heidelberg, 295-303.
• Unold O. (2009), Regular Language Induction with Grammar-based Classified System [w:] Soomro S. (red.) Engineering the Computer Science and IT, IN-TECH, Vienna, Austria Rijeka, Croatia, 13-22.
• Troć M., Unold O. (2008), Learning classifier system with self-adaptive discovery mechanism, [w:] Krasnogor N., Nicosia G., Pavone M., Pelta D. (red.) Studies in Computational Intelligence (SCI), vol. 129, Springer-Verlag Berlin Heidelberg, 273-283.
• Unold O., Niedźwiecki P. (2007), Bank data mining using SAS Enterprise Miner, [w:] Borzemski L. i in. (red.) Information Systems Architecture and Technology. Information Technology and Web Engineering Models, Concepts & Challenges, Wroclaw University of Technology, Wroclaw, 75-84.
• Unold O., Cielecki L. (2005), Grammar-based Classifier System, [w:] Hryniewicz O. i in. (red.) Issues in Intelligent Systems: Paradigms, EXIT, Warszawa, 273–286.
• Unold O. (2005), GCS – nowy model uczącego się systemu klasyfikującego, [w:] Zamojski W. (red.) Inżynieria Komputerowa, WKŁ, Warszawa, 60–72.
• Unold O., Troć M. (2005), Biomolekularne modele obliczeniowe, [w:] Zamojski W. (red.) Inżynieria Komputerowa, WKŁ, Warszawa, 73–85.
• Dulewicz G., Unold O. (2004), A Genetic Programming for the Induction of Natural Language Parser, [w:] Abraham A., Jain L.C., van der Zwaag, B. J. (red.) Innovations in Intelligent Systems, Studies in Fuzziness and Soft Computing, vol. 140, Springer, 435–455.

Journals

• Unold O., Kaczmarek A.M., Culer Ł. (2018), Visual report generation tool for grammar-based classifier system, International Journal of Machine Learning and Computing, 2018, vol. 8, nr 1, s. 80–84.
• Z. Pliszka, O. Unold (2014), O krzyżowaniu wieloosobniczym w algorytmach ewolucyjnych. Elektronika (Warszawa). 2014, R. 55, nr 9, 140-141
• O. Unold (2014), A GPU-based consensus clustering. Global Journal of Computer Science, vol. 4, nr 2, 65-69.
• E. Walkowicz, P. Skrobanek, O. Unold, H. Maciejewski, M. Dobrowolski (2012), Specyfika danych zootechnicznych z zakresu hodowli i użytkowania koni. Zeszyty Naukowe Uniwersytetu Przyrodniczego we Wrocławiu. Biologia i Hodowla Zwierząt. 2012, nr 64, 61-69.
• Z. Pliszka, O. Unold (2012), On some properties of binary chromosomes and states of artificial immune systems. International Journal of Data Analysis Techniques and Strategies. 2012, vol. 4, nr 3, 277-291.
• Pliszka Z., Unold O. (2011), Efektywny operator krzyżowania i mutacji w algorytmie genetycznym, Elektronika, 52(2), 166-170.
• Pliszka Z., Unold O. (2011), Efektywny operator inwersji w algorytmie genetycznym, Elektronika, 52(2), 171-172.
• Unold O. (2008), Jak liczy komputer DNA, Delta – matematyka, fizyka, astronomia, informatyka 7(410), Warszawa, 8–10.
• Unold O. (2008), Grammar-based Classifier System: A Universal Tool for Grammatical Inference, WSEAS Trans. on Computer, 7(10), 1584-1593.
• Mężyk E., Unold O. (2008), Accelerating improvement of fuzzy rules induction with artificial immune systems, WSEAS Trans. on Systems, 7(10), 900-909.
• Unold O. (2005), Context-free grammar induction with grammar-based classifier system, Archives of Control Science, 15(LI), 4, 681–690.
• Unold O., Troć M., Dobosz T., Trusewicz A. (2004), Extended molecular computing model, WSEAS Trans. Biol. Biomed., 1(1), 15–19.
• Unold O. (2003), Context–free grammar induction using evolutionary methods, WSEAS Trans. on Circuits and Systems, 3(2), 632–637.
• Köppen M., Franke K., Unold O. (2001), A survey on fuzzy morphology. Pattern Recognit. Image Anal., 11(1), 195–197.
• Unold O. (2005), Analiza wpływu wybranych parametrów na efektywność systemu GCS, Informatyka Teoretyczna i Stosowana 8(5), Częstochowa, 177–190.

Lecture Notes in Computer Science series

• Wieczorek W., Unold O. (2019), GP-Based Grammatical Inference for Classification of Amyloidogenic Sequences, Computational Intelligence Methods for Bioinformatics and Biostatistics, 14th International Meeting, CIBB 2017, Cagliari, Italy, September 7-9, 2017, Revised Selected Papers, Lecture Notes in Bioinformatics, vol. 10834, 81–91.
• Unold O., Tarnawski r. (2018), A parallel framework for multi-population cultural algorithm and its applications in TSP, [w:] Machine Learning, Optimization, and Big Data: third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017: revised selected papers, Giuseppe Nicosia [i in.] (Eds.), Cham: Springer, Lecture Notes in Computer Science, vol. 10710, cop. 2018. s. 470–482.
• Unold O., Tarnawski R. (2016) Cultural Ant Colony Optimization on GPUs for Travelling Salesman Problem. In: Pardalos P., Conca P., Giuffrida G., Nicosia G. (eds) Machine Learning, Optimization, and Big Data. MOD 2016. Lecture Notes in Computer Science, vol 10122. Springer, Cham, 317-329.
• Unold O., Tagowski T. (2015) A Parallel Consensus Clustering Algorithm. In: Pardalos P., Pavone M., Farinella G., Cutello V. (eds) Machine Learning, Optimization, and Big Data. Lecture Notes in Computer Science, vol 9432. Springer, Cham, 318-324.
• Unold O., Dobrowolski M., Maciejewski H., Skrobanek P., Walkowicz E. (2012), A GA-Based Wrapper Feature Selection for Animal Breeding Data Mining. In: Corchado E., Snášel V., Abraham A., Woźniak M., Graña M., Cho SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science, vol 7209. Springer, Berlin, Heidelberg, 200-209.
• Cielecki L., Unold O. (2012) 2D Discontinuous Function Approximation with Real-Valued Grammar-Based Classifier System. In: Huang DS., Jiang C., Bevilacqua V., Figueroa J.C. (eds) Intelligent Computing Technology. ICIC 2012. Lecture Notes in Computer Science, vol 7389. Springer, Berlin, Heidelberg, 10-17.
• Skrobanek P., Maciejewski H., Dobrowolski M., Unold O., Walkowicz E. (2012) Comparison of Data Exploration Methods and the BLUP Method in Application to the Animals Breeding. In: Huang DS., Ma J., Jo KH., Gromiha M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science, vol 7390. Springer, Berlin, Heidelberg, 74-81.
• Skrobanek P., Unold O., Walkowicz E., Maciejewski H., Dobrowolski M. (2012), Study on the impact of affinity on the results of data mining in biological populations, the 13th edition of the Ibero-American Conference on Artificial Intelligence IBERAMIA 2012, Cartagena de Indias, Colombia, LNCS 7637, 111-119.
• Maciejewski H.,Walkowicz E., Unold O., Skrobanek P. (2012), Enhancing recognition of a weak class comparative study based on biological population data mining, LNCS 7268, Springer-Verlag Berlin Heidelberg, 136-143.
• Unold O. (2011), Diagnosis of cardiac arrhytmia using fuzzy immune approach, LNCS 6594, Springer-Verlag Berlin Heidelberg, 265-274.
• Unold O. (2010), Learning fuzzy context-free grammar - a preliminary report, [w:] Sempere J.M., Garcia P. (red.) ICGI 2010, LNCS (LNAI) 6339, 309-312.
• Unold O. (2008), Inducing Regular Languages Using Grammar-Based Classifier System, [w:] Clark A., Coste F., Miclet L. (red.) ICGI 2008, LNCS (LNAI) 5278, 298–300.
• Cielecki L., Unold O. (2007), GCS with Real-Valued Input, [w:] Mira J., Alvarez J.R. (red.) IWINAC 2007, Part I, LNCS 4527, 488–497.
• Unold O. (2007), Learning classifier system approach to natural language grammar induction, [w:] Shi Y. i in. (red.) ICCS 2007, Part II, LNCS 4488, 1210–1213.
• Unold O. (2007), Grammar-based classifier system for recognition of promoter regions, [w:] Beliczynski B. i in. (red.) ICANNGA07, Part I, LNCS 4431, 798-805.
• Unold O., Troć M. (2007), Curve, Draft, and Style: Three Steps to the Image, [w:] Giacobini M. i in. (red.) EvoWorkshops 2007, LNCS 4448, 601–608.
• Unold O., Dąbrowski G. (2007), Use of learning classifier system for inferring natural language grammar, [w:] Llorà X. i in. (red.) IWLCS 2003-2005, LNCS 4399, 17-24.
• Unold O., Troć M. (2003), Restriction Enzyme Computation, 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, LNCS 2686, 686–693.
• Unold O., Troć M., Dobosz T., Trusewicz A. (2003), Finite-State Molecular Computing, Eighth International Conference on Implementation and Application of Automata CIAA 2003, Santa Barbara, CA, LNCS 2759, 309–310.

Conferences

• Słomiany M., Unold O. (2026). Architecture Matters for Attribution Quality: A Quantitative Evaluation of XAI Methods Across Deep Vision Architectures in Artistic Style Classification. In Proceedings of ECML PKDD.
• Gilewicz J., Unold O. (2026). Uncertainty-Aware Surrogate-Assisted Evolutionary Reinforcement Learning in Expensive Low-Data Regimes. In Proceedings of ECML PKDD.
• Unold O., Zemło, J. (2026). Value Consistency Prioritization for Accelerating Knowledge Discovery in Sparse Reward Anticipatory Classifier Systems. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 365-373).
• Unold O. (2026). A high-performance ACS2 based on vectorization and GPU. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 1212-1219).
• Łabędzki M., Unold O. (2026). Beyond Behavioral Sequences: Leveraging Short-Term Memory to Optimize Decision Policies in Anticipatory Learning Classifier System. In Proceedings of IEEE WCCI 2026.
• Najda M., Dudek M., Unold O., Jadczyk T., Swierz K., Swiatek G., & Hemmerling D. (2025), An Explainable AI-Integrated Diagnostic System for Voice Analysis in Heart Failure Patients. In AAAI Bridge Program on AI for Medicine and Healthcare (pp. 56-62). PMLR.
• Łabędzki Ł. Unold O. (2025), Why state differentiation in ACS2 is not enough in aliased environments. W: GECCO’25 Companion : Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion, ACM, cop. 2025. s. 2249-2257.
• Unold O., Kozłowski N., Śmierzchała Ł. (2022), Preliminary tests of an anticipatory classifier system with experience replay. W: GECCO’22 Companion : Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, July 09-13, 2022 Boston, Massachusetts / ed. Jonathan E. Fieldsend. New York, NY : ACM, cop. 2022. s. 2095-2103.
• Kozłowski N., Unold O. (2020), Investigating exploration techniques for ACS in discretized real-valued environments. W: GECCO ‘20 : Proceedings of the Genetic and Evolutionary Computation Conference Companion, Cancún, Mexico, July 08-12, 2020. New York, NY : ACM, cop. 2020. s. 1765-1773.
• Kozłowski N., Unold O. (2019), Preliminary tests of a real-valued Anticipatory Classifier System. W: GECCO ‘19 : Proceedings of the Genetic and Evolutionary Computation Conference Companion, Prague, Czech Republic, July 13-17, 2019. New York, NY : ACM, cop. 2019. s. 1289-1294.
• Unold O., Gabor M. (2019), How implicit negative evidence improve weighted context-free grammar induction, 18th International Conference on Artificial Intelligence and Soft Computing Web System, Lecture Notes in Artificial Intelligence, June 16–20, Zakopane, Poland.
• Unold O., Rogula E., Kozłowski N. (2019), Introducing Action Planning to the Anticipatory Classifier System ACS2, 11th International Conference on Computer Recognition Systems, Springer Series Advances in Intelligent Systems and Computing, May 20-22, 2019 Polanica-Zdroj, Poland.
• Kozłowski N., Unold O. (2018), Integrating anticipatory classifier systems with OpenAI Gym. W: GECCO ‘18 : Proceedings of the Genetic and Evolutionary Computation Conference Companion, Kyoto, Japan, July 15-19, 2018. New York, NY : ACM, cop. 2018. s. 1410-1417.
• Pliszka Z., Unold O. (2018), On transforming unit cube into tree by one–point mutation, [w:] Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology, ISAT 2018. Pt. 2, Jerzy Swiatek, Leszek Borzemski, Zofia Wilimowska (Eds), Cham: Springer, cop. 2019. s. 71–82.
• Unold O. [red.], Dyrka W. [red.], Wieczorek W. (red.) (2018), International Conference on Grammatical Inference, 5-7 September 2018, Proceedings of Machine Learning Research 93:1–2, 2018.
• Wieczorek W., Unold O., Strak Ł. (2018), Suffix Classification Trees, International Conference on Grammatical Inference, 5-7 September 2018, Proceedings of Machine Learning Research 93:44–53, 2018.
• Kozłowski N., Unold O. (2018), Integrating anticipatory classifier systems with OpenAI Gym, [w:] GECCO ’18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Kyoto, Japan, July 15-19, 2018. New York, NY: ACM, cop. 2018. s. 1410–1417.
• Ł. Culer, O. Unold (2017), Sentiment analysis of social networks statements for the polish language. W: The Third European Network Intelligence Conference, ENIC 2016 [Dokument elektroniczny] : 05-07 September 2016, Wrocław, Poland: proceedings. Piscataway, NJ : IEEE, cop. 2016, 134-139
• A.M. Kaczmarek, O. Unold (2017), Automatic correction of utterances from social network. W: The Third European Network Intelligence Conference, ENIC 2016 [Dokument elektroniczny] : 05-07 September 2016, Wrocław, Poland : proceedings. Piscataway, NJ : IEEE, cop. 2016., 140-144.
• O. Unold, M. Mianowski (2015), Real-valued ACS classifier system: a preliminary study. W: Proceedings of the 9th International Conference on Computer Recognition Systems, CORES 2015 / Robert Burduk, Konrad Jackowski, Marek Kurzyński, Michał Woźniak, Andrzej Żołnierek (Eds.). [Cham] : Springer, cop. 2016. s. 203-211.
• B. Kupisz, O. Unold (2015), Collaborative filtering recommendation algorithm based on Hadoop and Spark. W: 2015 IEEE International Conference on Industrial Technology (ICIT) [Dokument elektroniczny] : USB Proceedings, Seville, Spain, 17-19 March, 2015. Piscataway, NJ : IEEE, cop. 2015. 1510-1514.
• Z. Pliszka, O. Unold (2015), On the ability of the one-point crossover operator to search the space in genetic algorithms. W: Artificial intelligence and soft computing : 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015 : proceedings. Pt. 1 / Leszek Rutkowski [i in.] (eds.). Cham [i in.] : Springer, cop. 2015. 361-369.
• W. Wieczorek, O. Unold (2014), Induction of directed acyclic word graph in a bioinformatics task. W: The 12th International Conference on Grammatical Inference [Dokument elektroniczny] : Kyoto, September 17-19th, 2014 / eds. Alexander Clark, Makoto Kanazawa, Ryo Yoshinaka. [Cambridge, Mass. : MIT Press], cop. 2014. 207-217.
• Z. Pliszka, O. Unold (2013), Some remarks on dynamics of binary chromosomes population. W: Advances in artificial life [Dokument elektroniczny] : ECAL 2013 : proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems, 2-6 September 2013, Taormina, Italy / ed by Pietro Liò [i in.]. [B.m.]: MIT Press, [2013]. 663-664.
• H. Maciejewski, E. Walkowicz, O. Unold, P. Skrobanek (2012), Enhancing recognition of weak class - comparative study based on biological population data mining. W: Artificial intelligence and soft computing : 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29 - May 3, 2012 : proceedings. Pt. 2 / Leszek Rutkowski [i in.] (eds.). Berlin ; Heidelberg : Springer, 2012. 136-143.
• O. Unold (2012), How to support prediction of amyloidogenic regions - the use of a GA-based wrapper feature selections. W: DataSys 2012 [Dokument elektroniczny] : The Second International Conference on Advances in Information Mining and Management, IMMM 2012, October 21-26, 2012, Venice, Italy eds. Zari Dzalilov, Petre Dini. [B.m.] : IARIA, cop. 2012. 37-40.
• O. Unold (2012), Fuzzy grammar-based prediction of amyloidogenic regions. W: ICGI 2012: proceedings of the Eleventh International Conference on Grammatical Inference [Dokument elektroniczny] : College Park, Maryland, United States, September 5-8, 2012 / eds. Jeffrey Heinz, Colin de la Higuera, Tim Oates. [Cambridge, Mass. : MIT Press, 2012]. 210-219.
• Pliszka Z., Unold O. (2011), How to predict future in a world of antibody-antigen chromosomes, w: Proceedings of the Federated Conference on Computer Science and Information Systems, September 18-21, 2011, Szczecin, Poland / M. Ganzha, L. Maciaszek, M. Paprzycki (eds.). Los Alamitos : IEEE Computer Society Press; [Katowice] : Polskie Towarzystwo Informatyczne. Oddział Górnośląski, 91-96
• Pliszka Z., Unold O. (2010), Metric properties of populations in artificial immune systems, 5th International Symposium Advances in Artificial Intelligence and Applications (AAIA’10)
• Pietron P., Unold O. (2010), Language evolution, social phenomena, [in:] Proceedings of the IEEE World Congress on Computational Intelligence WCCI 2010 (CEC 2010), Barcelona, Spain, IEEE, 3089-3096.
• Rymczak K., Unold O. (2009), Improved (Non)fixed TSS methods for promoter prediction, 4th International Symposium Advances in Artificial Intelligence and Applications (AAIA’09), Mragowo, Poland
• Unold O. (2009), Fuzzy Immune Approach to Biomedical Data Processing, [in:] IEEE 2009 International Conference on Systems, Man, and Cybernetics (IEEE SMC 2009), San Antonio, USA
• Cielecki Ł., Unold O. (2008) 3D Function Approximation with rGCS Classifier System, [in:] Proc. of 8th International Conference on Intelligent Systems Design and Applications, Kaohsiung City, Taiwan, IEEE Computer Society Press.
• Cielecki Ł., Unold O. (2008), Modified Himmelblau function classification with rGCS system, [in:] 8th International Conference on Hybrid Intelligent Systems, Germany, IEEE Computer Society Press, 879–884.
• Mężyk E., Unold O. (2008), Improving Mining Fuzzy Rules with Artificial Immune Systems by Uniform Population, [in:] World Conference on Soft Computing in Industrial Applications 2008 (WSC-2008) http://www.wsc-2008.science-city.org
• Mężyk E., Unold O. (2008), Speed Boosting Induction of Fuzzy Rules with Artificial Immune Systems, [in:] 12th WSEAS International Conference on SYSTEMS, Heraklion, Greece, 704–706.
• Kalina A., Mężyk E., Unold O. (2008), Accuracy Boosting Induction of Fuzzy Rules with Artificial Immune Systems, [in:] Proceedings of the International Multiconference on Computer Science and Information Technology, Wisła, Poland, 155-159.
• Unold O. (2008), Grammatical Inference with Grammar-based Classifier System, [in:] 12th WSEAS International Conference on SYSTEMS, Heraklion, Greece, 707–712.
• Troć M., Unold O. (2008), Self-adaptation of Parameters in a XCS-based Ensemble Machine, [in:] 8th International Conference on Hybrid Intelligent Systems, Germany, IEEE Computer Society Press, 893–898.
• Unold O., Cielecki Ł. (2007), Learning Context-Free Grammars from Partially Structured Examples: Juxtaposition of GCS with TBL, [in:] 7th International Conference on Hybrid Intelligent Systems, Germany, IEEE Computer Society Press, 348–351.
• Jaworski M., Unold O. (2007), Improved TBL algorithm for learning context-free grammar, [in:] Proceedings of the International Multiconference on Computer Science and Information Technology, Wisła, Poland, 189 – 194.
• Unold O., Cielecki Ł. (2005), How to use crowding selection in Grammar-based Classifier System, [in:] Kwaśnicka H., Paprzycki M. (eds.) Proc. of 5th International Conference on Intelligent Systems Design and Applications, Los Alamitos, IEEE Computer Society Press, 126–129.
• Unold O. (2005), Learning context-free language using Grammar-based Classifier System, [in:] Vetulani Z. (eds.) Human language technologies as a challenge for computer science and linguistics, 2nd Language & Technology Conference, Poznań, Wydaw. Poznańskie, 423–426.
• Unold O., Dąbrowski G. (2003), Use of learning classifier system for inferring natural language grammar, [in:] Abraham A. i in. (eds.) Design and application of hybrid intelligent, Amsterdam, IOS Press, 272–278.
• Dulewicz G., Unold O. (2002), Evolving Natural Language Parser with Genetic Programming, [in:] Abraham A., Köppen M. (eds.) Hybrid Information Systems, Springer Physica, Germany, 361–377.
• Unold O., Dulewicz G. (2002), Use of edge encoding for induction of natural language parser, Proc. of 4th International Conference Recent Advances in Soft Computing RASC 2002, Nottingham, UK, 278–282.
• Chrobak M., Unold O. (2001), Natural language grammar inference by genetic search, Proc. of the Third International Conference on Intelligent Processing and Manufacturing of Materials IPMM–2001, University of British Columbia, Vancouver, Canada.
• Köppen M., Franke K., Unold O. (2000), A survey on fuzzy morphology, Proc. of the 5th International Conference on Pattern Recognition and Image Analysis: New Information Technologies PRIA-5-2000, Samara, Russia, 424–427.
• Unold O. (2000), An evolutionary approach for the design of natural language parser, [in:] Suzuki Y. i in. (eds.) Soft computing in industrial applications, London, Springer-Verlag, 293–297.
• Unold O. (1999), A brief sketch of an evolutionary method for developing architecture of natural language parser, Proc. of International Workshop on Soft Computing in Industry ‘99, IWSCI ‘99, IEEE Industrial Electronics Society, Muroran, Hokkaido, Japan, 411–415.
• Unold O. (1999), Toward a mechanics of self-learning parser of natural texts, Proc. of IASTED International Conference Artificial Intelligence and Soft Computing, Acta Press, Honolulu, Hawaii-USA, 453–456.
• Unold O. (1999), A genetically optimised fuzzy parser of natural language, Proc. of Second International Conf. on Intelligent Processing and Manufacturing of Materials IPMM’99, Vol. 1, Big Island, Hawaii, Piscataway, NJ: IEEE Operations Center, 277–280.
• Unold O. (1999), Toward fuzziness in natural language processing, [in:] Roy , Furuhashi T., Chawdhry P.K. (eds.) Advances in Soft Computing – Engineering Design and Manufacturing, Springer-Verlag, London, 554–567.
• Unold O. (1998), A Fuzzy Automaton Approach to Dialog Systems, Proc. of the IASTED International Conference-ASC’98, Acta Press, Cancun, Mexico, 215–218.
• Unold O. (1998), Application of Fuzzy Sets in Natural Language Processing, Proc. of the 6th Congress on Intelligent Techniques and Soft Computing EUFIT’98, Aachen, Germany, 1262–1266.
• Unold O. (1997), Automatic Analysis of Natural Language Texts in Man-Machine Communication, [in:] Wojtkowski G. i in. (eds.) Systems Development Methods for the Next Century, Plenum Publishing Corp., New York, 185–194.
• Unold O. (1992), For natural language processing, [w:] Systems Science XI. International Conference on Systems Science. Technical University of Wrocław, Institute of Control and Systems Engineering, Polish Academy of Sciences Committee of Automation, Polish Academy of Sciences Wrocław Branch. Wrocław, Abstracts of Papers. Wrocław: Wydaw. PWroc, 175.

in Polish

• Walkowicz E., Unold O., Maciejewski H., Skrobanek P. (2011), Czynniki wpływające na długość ciąży klaczy śląskich, Mat. Konf. LXXVI Zjazd PTZ “Znaczenie tradycji w chowie i hodowli zwierząt w dobie globalizacji”, Poznań, 14-16 IX.
• Walkowicz E., Unold O., Maciejewski H., Skrobanek P., Dobrowolski M. (2011), Specyfika danych zootechnicznych jako materiału badawczego w procesach eksploracji danych. Międzynarodowa Konferencja “Dobrostan koni”, Wrocław, 3-4 XII.
• Unold O., Dąbrowski G. (2003), Zastosowanie systemu klasyfikującego w uczeniu gramatyki języka naturalnego, [in:] Bubnicki Z. i Grzech A. (eds.) Inżynieria wiedzy i systemy ekspertowe, T.1., Oficyna Wydaw. PWroc , Wrocław, 288–295. (in Polish)
• Chrobak M., Unold O. (2000), Poszukiwanie gramatyki języka naturalnego jako zadanie optymalizacyjne, [in:] IV Krajowa konferencja naukowa nt. Sztuczna inteligencja. SzI - 15 ‘2000 (badania - zastosowania - rozwój), Wydaw. Akademii Podlas., Siedlce-Warszawa, 85–89. (in Polish)
• Chrobak M., Unold O. (2000), Adaptacyjne poszukiwanie gramatyki języka naturalnego, [in:] Bubnicki Z. i Grzech A. (eds.) Inżynieria wiedzy i systemy ekspertowe, T.1., Oficyna Wydaw. PWroc, Wrocław, 212–219. (in Polish)
• Unold O. (1999), Evolving analyzer of natural language using evolutionary computation, Proc. of the workshop Intelligent Information Systems, Ustroń-Warszawa, IPI PAN, 278–287. (in Polish)
• Unold O. (1998), Dialog system with self-learning analyzer of natural texts, Proc. of the Conference Intelligent Decision Support Systems in Management, Katowice-Wisła, Wydaw. Uczeln. AE, 115–121. (in Polish)
• Unold O. (1998), The automaton approach to systems gathering knowledge expressed in natural language, Proc. of the Conference Intelligent Decision Support Systems in Management, Katowice-Wisła, University Publ. Academy of Economics, 47–58. (in Polish)
• Kulawik M., Unold O. (1998), O pewnej implementacji rozmytego regułowego systemu ekspertowego w Prologu. [in:] III Ogólnopolska konferencja nt. Sztuczna inteligencja. CIR-13 ‘98 (cybernetyka - inteligencja - rozwój). ZG PTC, Instytut Informatyki WSRP w Siedlcach, Siedlce-Warszawa, 247–267. (in Polish)
• Cysewski P., Unold O., (1998), Informatyzacja zapisów na przedmioty ogólnouczelniane w Politechnice Wrocławskiej, [in:] Abramowicz W. (eds.) Business Information Systems ‘98, Poznań, 669–675. (in Polish)
• Unold O. (1998), Informatyzacja wyższej uczelni z etapem przejściowym [in:] Abramowicz W. (eds.) Business Information Systems ‘98, Poznań, 682–690. (in Polish)
• Unold O. (1997), Koncepcja komponentu strukturalno-semantycznego jako typ modelu redukcyjnego, [in:] Bubnicki Z. i Grzech A. (eds.) Inżynieria wiedzy i systemy ekspertowe, T.1., Oficyna Wydaw. PWroc., Wrocław, 334–340. (in Polish)
• Unold O. (1997), Zastosowanie automatu rozmytego w przetwarzaniu języka naturalnego, [in:] Mat. IV KK KOWBAN ‘97. Wrocław-Świeradów Zdrój, 523–528. (in Polish)
• Unold O. (1996), Stratyfikacyjny system reprezentacji wiedzy, [in:] Vetulani Z., Abramowicz W. (eds.) Język i Technologia, Akademicka Oficyna Wydawnicza PLJ, Warszawa, 177–182. (in Polish)
• Unold O. (1996), Wnioskowanie na symbolicznej reprezentacji wiedzy nabywanej ze zdań języka naturalnego, [in:] IX Ogólnopolskie konwersatorium nt. Sztuczna inteligencja i systemy hybrydowe CIR-11 ‘96 (cybernetyka-inteligencja-rozwój), ZG PTC Centrum Obsługi Badań Naukowych i Dydaktyki WSRP w Siedlcach, Instytut Badań Systemowych PAN, Siedlce-Warszawa, 37–45. (in Polish)
• Cysewski P., Unold O. (1996), Informatyzacja procesu dydaktyki na Politechnice Wrocławskiej, [in:] Informatyka na wyższych uczelniach dla gospodarki narodowej. II Konferencja. Tempus Joint European Project 9060, PGdań. Wydział Elektroniki Telekomunikacji i Informatyki Zakład Zastosowań Informatyki, Gdańsk, T. 2., 348–351. (in Polish)
• Cysewski P., Unold O. (1996), “STUDIUM”- Komputerowy system wspomagania i weryfikacji przebiegu procesu dydaktycznego w uczelni, [in:] Informatyka na wyższych uczelniach dla gospodarki narodowej. II Konferencja. Tempus Joint European Project 9060, PGdań. Wydział Elektroniki Telekomunikacji i Informatyki Zakład Zastosowań Informatyki, Gdańsk, T. 2., 344–347. (in Polish)
• Lichwa A., Unold O. (1996), Oszczędna metoda reprezentacji wybranych struktur składniowych języka naturalnego, [in:] IX Ogólnopolskie konwersatorium nt. Sztuczna inteligencja i systemy hydrydowe. CIR-11 ‘96 (cybernetyka-inteligencja-rozwój). ZG PTC, Centrum Obsługi Badań Naukowych i Dydaktyki WSRP w Siedlcach, Instytut Badań Systemowych PAN. Siedlce-Warszawa, 29–36. (in Polish)
• Unold O. (1995), Automatowa dekompozycja zdania języka naturalnego na elementy wiedzy w systemie dialogowym, [in:] Głosowa Komunikacja Człowiek-Kompute I Krajowa Konferencja, Wrocław, 111–116. (in Polish)
• Dagba T.K., Unold O. (1995), Getting the explicit content of an utterance, [in:] Głosowa komunikacja człowiek-kompute I Krajowa konferencja, Wrocław, 117–122. (in Polish)
• Unold O. (1995), Komputerowy model programowania w języku logiki, [in:] Sztuczna inteligencja i infrastruktura informatyczna. CIR-10 ‘95 (cybernetyka-inteligencja-rozwój). VIII Ogólnopolskie konwersatorium, Siedlce-Warszawa, 109–116. (in Polish)
• Unold O. (1994), Koncepcja lingwistycznego mechanizmu wnioskującego w systemie z dostępem w języku naturalnym, [in:] Mat. VII Ogólnopolskie Konwersatorium CIR’94 (cybernetyka-inteligencja-rozwój), Warszawa-Siedlce, 256–263. (in Polish)
• Klempous , Nikodem J., Unold O. (1994), Komputerowy system wspomagający pracę dziekanatu wyższej uczelni, [in:] Informatyka na wyższych uczelniach dla gospodarki narodowej. Konferencja. Tempus Joint European Project 3470. PGdań. Wydział Elektroniki Zakład Zastosowań Informatyki. Gdańsk, 47–51. (in Polish)
• Unold O. (1993), Reprezentacja wiedzy wyrażonej w zadaniach języka naturalnego z uwzględnieniem semantyki pojęć i możliwości dedukcji. Rozprawa doktorska, Raporty Inst. Cybern. PWroc. 1993 Se PRE nr 61. (in Polish)
• Unold O. (1993), Formalna reprezentacja angielskiej grupy werbalnej w bazie wiedzy systemu z dostępem w języku naturalnym, [in:] Inżynieria wiedzy i systemy ekspertowe. Materiały II krajowej konferencji naukowej. Instytut Sterowania i Techniki Systemów PWroc., T. 1. Wrocław: Wydaw. PWroc., 289–297. (in Polish)
• Unold O. (1992), Model formalny automatycznej dekompozycji zadań języka naturalnego na elementy bazy wiedzy dla systemu z bazowaniem wiedzy, [in:] Sztuczna inteligencja (cybernetyka-inteligencja-rozwój). II Ogólnopolska Konferencja CIR ‘92. Cybernetics ‘92. PTC Zarząd Główny, Warszawa-Siedlce, 55–63. (in Polish)

Teaching

teaching/dydaktyka website

Misc

Interview on Trwam TV on AI, 8.06.2024

Interview on Trwam TV on AI, 8.06.2024, in Polish

The 25th Poznań Marathon, 4.10.2026

Contact

Department of Computer Engineering K30W04D03
Wroclaw University of Science and Technology
Wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland

room: 324 bld: C-3

department office : +48 71 320 27 45
phone: + 48 71 320 20 15 fax: + 48 71 321 26 77

email: olgierd.unold@pwr.edu.pl
http: ounold.github.io

mobile phone +48 601 891 680

(last update 10.2026)