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 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.
- 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 ) - Extracting Complex Biological Events with Rich Graph-Based Feature Sets (2009) Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task Björne J, Heimonen J, Ginter F, Airola A, Pahikkala T, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - A Graph Kernel for Protein-Protein Interaction Extraction (2008) Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP 2008) Airola A, Pyysalo S, Björne J, Pahikkala T, Ginter F, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning (2008)
- BMC Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A Sparse Regularized Least-Squares Preference Learning Algorithm (2008)
- Frontiers in Artificial Intelligence and Applications
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Comparative analysis of five protein-protein interaction corpora (2008)
- BMC Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Efficient AUC Maximization with Regularized Least-Squares (2008)
- Frontiers in Artificial Intelligence and Applications
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Exact and Efficient Leave-Pair-Out Cross-Validation for Ranking RLS (2008) Proceedings of the 2nd International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (AKRR 2008) Pahikkala T, Airola A, Boberg J, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Machine Learning to Automate the Assignment of Diagnosis Codes to Free-text Radiology Reports: a Method Description (2008) Proceedings of the ICML/UAI workshop on Machine Learning in health care applications Suominen H, Ginter F, Pyysalo S, Airola A, Pahikkala T, Salanterä S, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Regularized Least-Squares for Learning Non-Transitive Preferences between Strategies (2008)
- Publications of the Finnish Artificial Intelligence Society
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Learning to Rank with Pairwise Regularized Least-Squares (2007) SIGIR 2007 Workshop on Learning to Rank for Information Retrieval Pahikkala T, Tsivtsivadze E, Airola A, Boberg J, Salakoski T
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Intelligent Recommendation of Products (2006) Airola Antti
(G2 Pro gradu, diplomityö, YAMK-opinnäytetyö)
