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.
- Modelling User Retention in Mobile Games (2016) Computational Intelligence and Games (CIG), 2016 IEEE Conference on Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - O-CDIO: Emphasizing Design Thinking in CDIO Engineering Cycle (2016)
- International Journal of Engineering Education
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - RLScore: Regularized Least-Squares Learners (2016)
- Journal of Machine Learning Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - User Activity Decay in Mobile Games Determined by Simple Differential Equations? (2016) Computational Intelligence and Games (CIG), 2016 IEEE Conference on Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips (2015) NOCS '15 Proceedings of the 9th International Symposium on Networks-on-Chip Mohammad Fattah, Antti Airola, Rachata Ausavarungnirun, Nima Mirzaei, Pasi Liljeberg, Juha Plosila, Siamak Mohammadi, Tapio Pahikkala, Onur Mutlu, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Learning Low Cost Multi-target Models by Enforcing Sparsity (2015) Current approaches in applied artificial intelligence Naula P, Airola A, Salakoski T, Pahikkala T
(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - Toward more realistic drug-target interaction predictions (2015)
- Briefings in Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - 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 )
