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.
- Drug-drug Interaction Extraction from Biomedical Texts with {SVM} and {RLS} Classifiers (2011) Proceedings of the SEPLN 2011 Workshop on First Challenge Task on Drug-Drug Interaction Extraction (DDIExtraction 2011) Björne J, Airola A, Pahikkala T, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Drug-Drug Interaction Extraction with RLS and SVM Classifiers (2011)
- CEUR Workshop Proceedings
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - EXTRACTING CONTEXTUALIZED COMPLEX BIOLOGICAL EVENTS WITH RICH GRAPH-BASED FEATURE SETS (2011)
- Computational Intelligence
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Fast and Parallelized Greedy Forward Selection of Genetic Variants in Genome-Wide Association Studies (2011) IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS 2011) Okser S, Pahikkala T, Airola A, Aittokallio T, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Greedy Regularized Least-Squares for Multi-Task Learning (2011) 11th IEEE International Conference on Data Mining Workshops (ICDMW'11) Naula P, Pahikkala T, Airola A, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Learning Multi-Label Predictors under Sparsity Budget (2011)
- Frontiers in Artificial Intelligence and Applications
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Learning Valued Relations from Data (2011)
- Advances in intelligent and soft computing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - On Learning and Cross-Validation with Decomposed Nystrom Approximation of Kernel Matrix (2011)
- Neural Processing Letters
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Speedy Local Search for Semi-Supervised Regularized Least-Squares (2011)
- Lecture Notes in Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Training linear ranking SVMs in linearithmic time using red-black trees (2011)
- Pattern Recognition Letters
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A comparison of {AUC} estimators in small-sample studies (2010)
- Journal of Machine Learning Research
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A comparison of AUC estimators in small-sample studies (2010)
- JMLR workshop and conference proceedings
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Applying permutation tests for assessing the statistical significance of wrapper based feature selection (2010) Proceedings of The Ninth International Conference on Machine Learning and Applications (ICMLA 2010) Airola A, Pahikkala T, Boberg J, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Conditional Ranking on Relational Data (2010)
- Lecture Notes in Computer Science
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Feature Selection for Regularized Least-Squares: New Computational Short-Cuts and Fast Algorithmic Implementations (2010) Proceedings of the Twentieth IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010) Pahikkala T, Airola A, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Greedy {RankRLS}: a Linear Time Algorithm for Learning Sparse Ranking Models (2010) SIGIR 2010 Workshop on Feature Generation and Selection for Information Retrieval Pahikkala T, Airola A, Naula P, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Large scale training methods for linear {RankRLS} (2010) Proceedings of the {ECML/PKDD} 2010 Workshop on Preference Learning {(PL-10)} Airola A, Pahikkala T, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Proceedings of the 14th Finnish Artificial Intelligence Conference, STeP 2010 (2010) Pahikkala T, Väyrynen J, Kortela J, Airola A (eds. )
(C2 Toimitustyö tieteelliselle kokoomateokselle) - Speeding up Greedy Forward Selection for Regularized Least-Squares (2010) Proceedings of The Ninth International Conference on Machine Learning and Applications (ICMLA 2010) Pahikkala T, Airola A, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - An efficient algorithm for learning to rank from preference graphs (2009)
- Machine Learning
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
