Antti Airola
D.Sc. (Tech.)
ajairo@utu.fi +358 29 450 4193 +358 50 517 8711 Vesilinnantie 5 Turku Office: 456H ORCID identifier: https://orcid.org/0000-0002-1010-4386 |
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 100 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.
As of 2025, he is acting as a deputy head of the department of computing.
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 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.
- Efficient optimization approaches for pairwise ranking losses (2014)
- Dagstuhl Reports
(Other publication) - Enzyme annotation using conditional ranking algorithms (2014) 23rd annual Belgian-Dutch Conference on Machine Learning (Benelearn 2014) Michiel Stock, Bernard De Baets, Willem Waegeman, Thomas Fober, Eyke Hüllermeier, Tapio Pahikkala, Antti Airola
(A4 Refereed article in a conference publication ) - Fast and simple gradient-based optimization for semi-supervised support vector machines (2014)
- Neurocomputing
(A1 Refereed original research article in a scientific journal) - Identification of functionally related enzymes by learning-to-rank methods (2014)
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
(A1 Refereed original research article in a scientific journal) - Multi-Label Learning under Feature Extraction Budgets (2014)
- Pattern Recognition Letters
(A1 Refereed original research article in a scientific journal) - On evaluation of automatically generated clinical discharge summaries (2014)
- CEUR Workshop Proceedings
(A4 Refereed article in a conference publication ) - 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
(A3 Refereed book chapter or chapter in a compilation book) - On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers (2014)
- Journal of Computer Science and Technology
(A1 Refereed original research article in a scientific journal) - 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
(Other publication) - Predicting patient acuity from electronic patient records (2014)
- Journal of Biomedical Informatics
(A1 Refereed original research article in a scientific journal) - Regularized Machine Learning in the Genetic Prediction of Complex Traits (2014)
- PLoS Genetics
(A2 Refereed review article in a scientific journal ) - Statistical parsing of varieties of clinical Finnish (2014)
- Artificial Intelligence in Medicine
(A1 Refereed original research article in a scientific journal) - 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
(A4 Refereed article in a conference publication ) - 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
(Other publication) - Efficient regularized least-squares algorithms for conditional ranking on relational data (2013)
- Machine Learning
(A1 Refereed original research article in a scientific journal) - Pairwise kernel methods for predicting molecular interactions (2013) BeNeLux Bioinformatics Conference Stock M, Pahikkala T, Airola A, De Baets B, Waegeman W
(Other publication) - Parallel Feature Selection for Regularized Least-Squares (2013)
- Lecture Notes in Computer Science
(A4 Refereed article in a conference publication ) - 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
(A4 Refereed article in a conference publication ) - A Kernel-Based Framework for Learning Graded Relations From Data (2012)
- IEEE Transactions on Fuzzy Systems
(A1 Refereed original research article in a scientific journal) - 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
(A4 Refereed article in a conference publication )
