- Industrial applications of computational intelligence and multivariate statistical methods, soft sensors, application of predictive methods in the process industry
- Adaptation techniques: concept drift detection and handling, moving windows adaptation, recursive adaptive methods
- Advanced machine learning concepts: ensemble methods, local learning, meta learning
- Base level machine learning techniques: artificial neural networks, kernel methods, statistical predictive methods (PCA/PLS)
Publications:
Journal Papers
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Kadlec P., Gabrys B.: Local learning-based adaptive soft sensor for catalyst activation prediction
, 57(5):1288-1301, 2011.
In AIChE Journal
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Kadlec P., Grbic R., Gabrys B.: Review of adaptation mechanisms for data-driven soft sensors
, 35(1):1-24, 2011.
In Computers and Chemical Engineering
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Kadlec P., Gabrys B., Strandt S.: Data-driven Soft Sensor in the process industry
, 33(4):795-814, 2009.
In Computers and Chemical Engineering
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Kadlec P., Gabrys B.: Architecture for development of adaptive on-line prediction models
, 1(4):241-269, 2009.
In Memetic Computing
Book Chapters
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Kadlec P., Gabrys B.: Gating Artificial Neural Network Based Soft Sensor
In New Challenges in Applied Intelligence Technologies, Nguyen N. T., Katarzyniak R. (eds.), Springer-Verlag, 134:193-202, 2008 -
Kadlec P., Gabrys B.: Application of Computational Intelligence Techniques to Process Industry Problems
In Knowledge Processing and Reasoning for Information Society, Nguyen N.T., Kolaczek G., Gabrys B. (eds.), Academic Publishing House EXIT, 305-322, 2008
Conference Papers
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Eastwood M., Kadlec P.: Interpretable, Online Soft-Sensors for Process Control
International Conference on Data Mining (ICDM) 2011, The 2nd International Workshop on Handling Concept Drift in Adaptive Information Systems. Vancouver, Canada, 2011. -
Kadlec P.: Novel adaptive data-driven method for prediction of critical process values
8th European Congress of Chemical Engineering. Berlin, Germany, 2011. -
Kadlec P., Gabrys B.: Adaptive on-line prediction soft sensing without historical data
Proceedings of the IEEE World Congress on Computational Intelligence (WCCI). Barcelona, Spain, 2010. -
Kadlec P., Gabrys B.: Soft sensors: Where are we and what are the future challenges?
In Proceedings of the IFAC International Conference on Intelligent Control Systems and Signal Processing (ICONS), Istanbul, Turkey, 2009. -
Kadlec P., Gabrys B.: Evolving on-line prediction model dealing with industrial data sets
In 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems Proceedings. Nashville, USA, IEEE, pp. 24-31, 2009. -
Kadlec P., Gabrys B.: Soft Sensor based on adaptive local learning
In Proceedings of the International Conference On Neural Information Processing. Auckland, New Zealand, Springer, vol. 5506, pp. 1172-1179, 2008. -
Kadlec P., Gabrys B.: Adaptive Local Learning Soft Sensor for Inferential Control Support
In Proceedings of International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA'2008). Vienna, Austria, IEEE, pp. 243-248, 2008. -
Kadlec P., Gabrys B.: Learnt Topology Gating Artificial Neural Network
In Proceedings of the International Joint Conference on Neural Networks (IJCNN). Hong Kong, China, IEEE, pp. 2605-2612, 2008. -
Kadlec P., Dorffner G.: Learning of dynamic object representations
In Proceedings of Cybernetics and Systems. Vienna, Austria, Austrian Society for Cybernetic Studies, pp. 507-512, 2006. -
Weidmann C., Kadlec P.,Nemethova O.,Moghrabi A.: Combined sequential decoding and error concealment of H.264 video
In Proceedings of 2004 IEEE 6th Workshop on Multimedia Signal Processing. Sienna, Italy, IEEE, pp. 299-302 , 2004.
Workshops, Symposia, Posters, Talks
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Kadlec P.: To adapt, or not to adapt: adapt but with caution
Invited talk at International Conference on Data Mining (ICDM) 2011, The 2nd International Workshop on Handling Concept Drift in Adaptive Information Systems. Vancouver, Canada, 2011. -
Kadlec P.: Smart technology for the process industry
Presentation at Smart seminar series at Bournemouth University. Bournemouth, United Kingdom, 2010. -
Kadlec P.: Self-adapting and monitoring Soft Sensors for the Process Industry
Poster presented at Postgraduate student conference. Bournemouth, United Kingdom, 2008. -
Kadlec P., Gabrys B.: Nature-inspired Adaptive Architecture for Soft Sensor Modelling
In NiSIS'2007 Symposium: 3rd European Symposium on Nature-inspired Smart Information Systems. St. Julian, Malta, 2007. -
Kadlec P., Dorffner G.: Object recognition in a dynamic environment
In Second International Cognitive Vision Workshop. Graz, Austria, 2006.
PhD Thesis
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Kadlec P.: On robust and adaptive soft sensors.
PhD thesis, School of Design, Engineering & Computing, Bournemouth University, Bournemouth, 2009.