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 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.
- Learning with multiple pairwise kernels for drug bioactivity prediction (2018)
- Bioinformatics
(A1 Refereed original research article in a scientific journal) - Playtime Measurement with Survival Analysis (2018)
- IEEE Transactions on Computational Intelligence and AI in Games
(A1 Refereed original research article in a scientific journal) - A/B-Test of Retention and Monetization Using the Cox Model (2017) Proceedings, The Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17) Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
(A4 Refereed article in a conference publication ) - A community challenge for inferring genetic predictors of gene essentialities through analysis of a functional screen of cancer cell lines (2017)
- Cell Systems
(A1 Refereed original research article in a scientific journal) - Assessment of metal ion concentration in water with structured feature selection (2017)
- Chemosphere
(A1 Refereed original research article in a scientific journal) - Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors (2017)
- PLoS Computational Biology
(A1 Refereed original research article in a scientific journal) - Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data (2017)
- Lancet Oncology
(A1 Refereed original research article in a scientific journal) - Circulating Cytokines Predict the Development of Insulin Resistance in a Prospective Finnish Population Cohort (2016)
- Journal of Clinical Endocrinology and Metabolism
(A1 Refereed original research article in a scientific journal) - Comparison of automatic summarisation methods for clinical free text notes (2016)
- Artificial Intelligence in Medicine
(A1 Refereed original research article in a scientific journal) - 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 Refereed article in a conference publication ) - O-CDIO: Emphasizing Design Thinking in CDIO Engineering Cycle (2016)
- International Journal of Engineering Education
(A1 Refereed original research article in a scientific journal) - RLScore: Regularized Least-Squares Learners (2016)
- Journal of Machine Learning Research
(A1 Refereed original research article in a scientific journal) - 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 Refereed article in a conference publication ) - 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 Refereed article in a conference publication ) - 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 Refereed book chapter or chapter in a compilation book) - Toward more realistic drug-target interaction predictions (2015)
- Briefings in Bioinformatics
(A1 Refereed original research article in a scientific journal) - A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)
- Lecture Notes in Computer Science
(A4 Refereed article in a conference publication ) - 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)