Antti Airola
D.Sc. (Tech.)
ajairo@utu.fi +358 29 450 4193 +358 50 517 8711 Vesilinnantie 5 Turku Työhuone: 456H ORCID-tunniste: https://orcid.org/0000-0002-1010-4386 |
data-analytiikka; koneoppiminen; tekoäly;terveysteknologia
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.
- A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)
- Lecture Notes in Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Efficient optimization approaches for pairwise ranking losses (2014)
- Dagstuhl Reports
(O2 Muu julkaisu ) - 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 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Fast and simple gradient-based optimization for semi-supervised support vector machines (2014)
- Neurocomputing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Identification of functionally related enzymes by learning-to-rank methods (2014)
- IEEE/ACM Transactions on Computational Biology and Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Multi-Label Learning under Feature Extraction Budgets (2014)
- Pattern Recognition Letters
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - On evaluation of automatically generated clinical discharge summaries (2014)
- CEUR Workshop Proceedings
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 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 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers (2014)
- Journal of Computer Science and Technology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - 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
(O2 Muu julkaisu ) - Predicting patient acuity from electronic patient records (2014)
- Journal of Biomedical Informatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Regularized Machine Learning in the Genetic Prediction of Complex Traits (2014)
- PLoS Genetics
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Statistical parsing of varieties of clinical Finnish (2014)
- Artificial Intelligence in Medicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - 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 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 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
(O2 Muu julkaisu ) - Efficient regularized least-squares algorithms for conditional ranking on relational data (2013)
- Machine Learning
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Pairwise kernel methods for predicting molecular interactions (2013) BeNeLux Bioinformatics Conference Stock M, Pahikkala T, Airola A, De Baets B, Waegeman W
(O2 Muu julkaisu ) - Parallel Feature Selection for Regularized Least-Squares (2013)
- Lecture Notes in Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 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 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A Kernel-Based Framework for Learning Graded Relations From Data (2012)
- IEEE Transactions on Fuzzy Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
