Antti Airola
D.Sc. (Tech.)
ajairo@utu.fi +358 29 450 4193 +358 50 517 8711 Vesilinnantie 5 Turku : 456H |
artificial intelligence; data analytics; machine learning; health technology
Antti Airola, is an Associate Professor (tenure track) of data science in the area of Health Technology at the University of Turku. He has co-authored over 80 peer-reviewed articles, won multiple international data science competitions, and received several research excellence awards such as the the HATUTUS award for the best PhD thesis in the area of pattern recognition in Finland (2010 - 2011) and IEEE Computational Intelligence Society Outstanding Transactions on Fuzzy Systems Paper award (2015). He is currently working as responsible leader in several EU and Research Council of Finland funded research projects.
Airola's main research areas are in the area of machine learning and data science, especially their applications in the health domain.
Airola is currently responsible for teaching the course TKO_3103 Data Analysis and Knowledge Discovery, as well as thesis supervision work (BSc, MSc, PhD). He has developed materials for and taught in many courses in the area of data and computer science, is responsible for developing the curriculum for both national BSc and MSc Medical and health technology programmes, as well as the international MSc programme in Health technology, and directs the AI Academy that coordinates AI related teaching between the faculties.
- Identification of functionally related enzymes by learning-to-rank methods (2014)
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
- Multi-Label Learning under Feature Extraction Budgets (2014)
- Pattern Recognition Letters
- On evaluation of automatically generated clinical discharge summaries (2014)
- CEUR Workshop Proceedings
- On Parallel Online Learning for Adaptive Embedded Systems (2014) Advancing Embedded Systems and Real-Time Communications with Emerging Technologies Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski
- On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers (2014)
- Journal of Computer Science and Technology
- Predicting binding affinities between drug compounds and kinase targets (2014) The eighth International Workshop on Machine Learning in Systems Biology Anna Cichonska, Tapio Pahikkala, Antti Airola, Juho Rousu, Tero Aittokallio
- Predicting patient acuity from electronic patient records (2014)
- Journal of Biomedical Informatics
- Regularized Machine Learning in the Genetic Prediction of Complex Traits (2014)
- PLoS Genetics
- Statistical parsing of varieties of clinical Finnish (2014)
- Artificial Intelligence in Medicine
- A Machine Learning Approach Towards Early Detection of Frequent Health Care Users (2013) Proceedings of the 4th International Louhi Workshop on Health Document Text Mining and Information Analysis (Louhi 2013) Antti Airola, Tapio Pahikkala, Heljä Lundgrén-Laine, Anne Santalahti, Päivi Rautava, Sanna Salanterä, Tapio Salakoski
- Analyzing the Japanese Toxicogenomics Project Dataset with SVM and RLS Classifiers (2013) 13th Annual International Conference on Critical Assessment of Massive Data Analysis (CAMDA 2013) Björne J, Airola A, Pahikkala T, Salakoski T
- Efficient regularized least-squares algorithms for conditional ranking on relational data (2013)
- Machine Learning
- Pairwise kernel methods for predicting molecular interactions (2013) BeNeLux Bioinformatics Conference Stock M, Pahikkala T, Airola A, De Baets B, Waegeman W
- Parallel Feature Selection for Regularized Least-Squares (2013)
- Lecture Notes in Computer Science
- Statistical Parsing of Varieties of Clinical Finnish (2013) Proceedings of the 4th International Louhi Workshop on Health Document Text Mining and Information Analysis (Louhi 2013) Laippala V, Viljanen T, Airola A, Nyblom J, Salanterä S, Salakoski T, Ginter F
- A Kernel-Based Framework for Learning Graded Relations From Data (2012)
- IEEE Transactions on Fuzzy Systems
- Conditional Ranking Algorithms for Efficient Object Retrieval and Object Querying on Relational Data (2012) Proceedings of the 12th Dutch-Belgian Information Retrieval Workshop (DIR 2012) Waegeman W, Stock M, De Baets B, Pahikkala T, Airola A, Salakoski T
- Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification (2012)
- Evolutionary Intelligence
- Implementation and Analysis of Block Dense Matrix Decomposition on Network-on-Chips (2012) 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems Xu TC, Pahikkala T, Airola A, Liljeberg P, Plosila J, Salakoski T, Tenhunen H
- Learning Monadic and Dyadic Relations: Three Case Studies in Systems Biology (2012) ECML/PKDD 2012 Workshop on Learning and Discovery in Symbolic Systems Biology Stock M, Pahikkala T, Airola A, Salakoski T, De Baets B, Waegeman W
