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Algorithmics and Computational Intelligence Group (ACI)

The research of the laboratory is centered around techniques and methods for algorithm design and computational intelligence, with the emphasis on both theory and applications. The foundations of the research are discrete mathematics, probabilistic inference, and theoretical computer science. In particular, the research of probabilistic and information-theoretical modeling, combinatorial algorithms, parallel algorithms, intelligent systems, Bayesian analysis, and algorithms for computer games has been pursued. The laboratory is based on the long tradition of active co-operation with companies and academic partners on solving real-life problems by the use of combinatorial optimization and latest techniques on software development and computational intelligence methods. The following key areas are covered:

Leader of the unit

Jukka Heikkonen Olli Nevalainen

Senior Researchers

Lassi Bergroth Stefan Emet Timo Knuutila Ville Leppänen Tapio Pahikkala Jussi Salmi Jouni Smed Jukka Teuhola

Projects 

Optimization of the control of component assembly in printed circuit board manufacturing systems

Minimum description length and stochastic complexity

Probabilistic modeling and Bayesian analysis with applications

Neural networks, theory and applications

Data analysis in proteomics

PET image analysis

Compression of media data

Publications 

Click here to see the full list of publications from the TUCS Publication Database

The latest updated publications:

Antti Airola, Tapio Pahikkala, Heljä Lundgrén-Laine, Anne Santalahti, Päivi Rautava, Sanna Salanterä, Tapio Salakoski, A Machine Learning Approach Towards Early Detection of Frequent Health Care Users. In: Hanna Suominen (Ed.), Proceedings of the 4th International Louhi Workshop on Health Document Text Mining and Information Analysis, –, National ICT Australia, 2013.

Sasu Tarkoma, Joni-Kristian Kämäräinen, Tapio Pahikkala (Eds.), The Federated Computer Science Event, Unigrafia Oy, 2012.

Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala, Efficient Recurrent Local Search Strategies for Semi- and Unsupervised Regularized Least-Squares Classification. Evolutionary Intelligence 5(3), 189–205, 2012.

Kai Kallio, Mika Johnsson, Olli S. Nevalainen, Estimating the Operation Time of Flexible Surface Mount Placement Machines. Production Engineering, Research and Development , 1–10, 2012.

Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski, Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems. International Journal of Embedded and Real-Time Communication Systems 3(2), 73–91, 2012.

Tapio Pahikkala, Sebastian Okser, Antti Airola, Tapio Salakoski, Tero Aittokallio, Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations. Algorithms for Molecular Biology 7, 1–11, 2012.

Tapio Pahikkala, Hanna Suominen, Jorma Boberg, Efficient Cross-Validation for Kernelized Least-Squares Regression with Sparse Basis Expansions. Machine Learning 87(3), 381–407, 2012.

Robert D. Scott, Jukka Heikkonen, Estimating Age at First Maturity in Fish from Change-Points in Growth Rate. Marine Ecology-Progress Series 450, 147–157, 2012.

Maaria Tringham, Johanna Kurko, Laura Tanner, Johannes Tuikkala, Olli S. Nevalainen, Harri Niinikoski, Kirsti Näntö-Salonen, Marja Hietala, Olli Simell, Juha Mykkänen, Exploring the Transcriptomic Variation Caused by the Finnish Founder Mutation of Lysinuric Intolerance (LPI). Molecular genetics and metabolism (IF3.539) 105, 408-415, 2012.

Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets, A Kernel-based Framework for Learning Graded Relations from Data. IEEE TRANSACTIONS ON FUZZY SYSTEMS 20(6), 1090–1101, 2012.

Amr Elmasry, Jyrki Katajainen, Jukka Teuhola, Improved Address-Calculation Coding of Integer Arrays. In: Liliana Calderón-Benavides, Cristina González-Caro, Edgar Chávez, Nivio Ziviani (Eds.), String Processing and Information Retrieval, 19th International Symposium, SPIRE 2012, Cartagena de Indias, Colombia, October 21-25, 2012. Proceedings, LNCS 7608, 205–216, Springer, 2012.

Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer, Sparse Quasi-Newton Optimization for Semi-Supervised Support Vector Machines. In: Pedro Latorre Carmona, J. Salvador Sánchez, Ana L. N. Fred (Eds.), Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM), 45–54, SciTePress, 2012.

Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer, Unsupervised Multi-Class Regularized Least-Squares Classification. In: Mohammed J. Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoff Webb, Xindong Wu (Eds.), The 12th IEEE International Conference on Data Mining (ICDM 2012), 585–594, IEEE Computer Society, 2012.

Michiel Stock, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets, Willem Waegeman, Learning Monadic and Dyadic Relations: Three Case Studies in Systems Biology. In: Oliver Ray, Katsumi Inoue (Eds.), Proceedings of the ECML/PKDD 2012 Workshop on Learning and Discovery in Symbolic Systems Biology, 74–84, ECML/PKDD 2012 Workshop on Learning and Discovery in Symbolic Systems Biology, 2012.

Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets, Learning Valued Relations from Data. In: Pedro Melo-Pinto, Pedro Couto, Carlos Serôdio, János Fodor, Bernard De Baets (Eds.), Eurofuse 2011, Advances in Soft Computing 107, 257–268, Springer, 2012.

Willem Waegeman, Michiel Stock, Bernard De Baets, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Conditional Ranking Algorithms for Efficient Object Retrieval and Object Querying on Relational Data. In: Thomas Demeester, Johannes Deleu, Laurent Mertens, Dieter Plaetinck, An De Moor, Thong Hoang, Tim Wauters, Chris Develder, Brecht Vermeulen, Piet Demeester (Eds.), Proceedings of the 12th Dutch-Belgian Information Retrieval Workshop (DIR 2012), 59–60, Ghent University, 2012.

Jukka Heikkonen, Domenico Perrotta, Marco Riani, Francesca Torti, Issues on Clustering and Data Gridding. In: Antonio Giusti, Gunter Ritter, Vichi Maurizio (Eds.), Classification and Data Mining, Studies in classification, Data analysis and knowledge organization, 37–44, Springer, 2012.

Jussi Laasonen, Jouni Smed, Co-ordinating Formations: A Comparison of Methods. In: Ashok Kumar, Jim Etheredge, Aaron Boudreaux (Eds.), Algorithmic and Architectural Gaming Design: Implementation and Development, 1–22, IGI Global, 2012.

Lasse Bergroth, Kahden merkkijonon pisimmän yhteisen alijonon ongelma ja sen ratkaiseminen. TUCS Dissertations 146. University of Turku, 2012.