D.Sc. (Tech.)
Antti Airola

University lecturer, Computer Science (Department of Future Technologies)
Adjunct professor, Department of Future Technologies (Department of Future Technologies)

ajairo@utu.fi
+358 2 333 8551
Vesilinnantie 5
Turku
Agora
Office: 450H



Areas of expertise
artificial intelligence; data analytics; machine learning

Publications
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A comparative study of pairwise learning methods based on Kernel ridge regression (2018)
Neural Computation
Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
(
A1 Journal article – refereed)

Learning with multiple pairwise kernels for drug bioactivity prediction (2018)
Bioinformatics
Cichonska A, Pahikkala T, Szedmak S, Julkunen H, Airola A, Heinonen M, Aittokallio T, Rousu J
(
A1 Journal article – refereed)

A/B-Test of Retention and Monetization Using the Cox Model (2017)Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
(
A4 Article in conference proceedings)

A community challenge for inferring genetic predictors of gene essentialities through analysis of a functional screen of cancer cell lines (2017)Gönen M, Weir Ba, Cowley GS, Vazquez F, Guan Y, Jaiswal A, Karasuyama M, Uzunangelov V, Wang T, Tsherniak A, Howell S, Marbach D, Hoff B, Norman TC, Airola A, Bivol A, Bunte K, Carlin D, Chopra S, Deran A, Ellrott K, Gopalacharyulu P, Graim K, Kaski S, Khan SA, Newton Y, Ng S, Pahikkala T, Paull E, Sokolov A, Tang H, Tang J, Wennerberg K, Xie Y, Zhan X, Zhu F, Aittokallio T, Mamitsuka H, Stuart JM, Boehm JS, Root DE, Xiao G, Stolovitzky G, Hahn WC, Margolin AA
(
A1 Journal article – refereed)

Assessment of metal ion concentration in water with structured feature selection (2017)
Chemosphere
Naula P, Airola A, Pihlasalo S, Perez IM, Salakoski T, Pahikkala T
(
A1 Journal article – refereed)

Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors (2017)
PLoS Computational Biology
Cichonska A, Ravikumar B, Parri E, Timonen S, Pahikkala T, Airola A, Wennerberg K, Rousu J, Aittokallio T
(
A1 Journal article – refereed)

Fast Kronecker Product Kernel Methods via Generalized Vec Trick (2017)
IEEE Transactions on Neural Networks and Learning Systems
Airola A, Pahikkala T
(
A1 Journal article – refereed)

How engineers perceive the importance of ethics in Finland (2017)
European Journal of Engineering Education
Ville Taajamaa, Anne-Maarit Majanoja, Diana Bairaktarova, Antti Airola, Tapio Pahikkala, Erkki Sutinen
(
A1 Journal article – refereed)

Playtime Measurement with Survival Analysis (2017)
IEEE Transactions on Computational Intelligence and AI in Games
Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
(
A1 Journal article – refereed)

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
Guinney J, Wang T, Laajala TD, Winner KK, Bare JC, Neto EC, Khan SA, Peddinti G, Airola A, Pahikkala T, Mirtti T, Yu T, Bot BM, Shen L, Abdallah K, Norman T, Friend S, Stolovitzky G, Soule H, Sweeney CJ, Ryan CJ, Scher HI, Sartor O, Xie Y, Aittokallio T, Zhou FL, Costello JC, and the Prostate Cancer Challenge DREAM Community
(
A1 Journal article – refereed)

Circulating Cytokines Predict the Development of Insulin Resistance in a Prospective Finnish Population Cohort (2016)
Journal of Clinical Endocrinology and Metabolism
Santalahti K, Maksimow M, Airola A, Pahikkala T, Hutri-Kähönen N, Jalkanen S, Raitakari OT, Salmi M
(
A1 Journal article – refereed)

Comparison of automatic summarisation methods for clinical free text notes (2016)
Artificial Intelligence in Medicine
Hans Moen, Laura-Maria Peltonen, Juho Heimonen, Antti Airola, Tapio Pahikkala, Tapio Salakoski, Sanna Salanterä
(
A1 Journal article – refereed)

Modelling User Retention in Mobile Games (2016)Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
(
A4 Article in conference proceedings)

O-CDIO: Emphasizing Design Thinking in CDIO Engineering Cycle (2016)
International Journal of Engineering Education
Ville Taajamaa, Mona Eskandari, Barbara Karanian, Antti Airola, Tapio Pahikkala, Tapio Salakoski
(
A1 Journal article – refereed)

RLScore: Regularized Least-Squares Learners (2016)
Journal of Machine Learning Research
Tapio Pahikkala, Antti Airola
(
A1 Journal article – refereed)

User Activity Decay in Mobile Games Determined by Simple Differential Equations? (2016)Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
(
A4 Article in conference proceedings)

A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips (2015)Mohammad Fattah, Antti Airola, Rachata Ausavarungnirun, Nima Mirzaei, Pasi Liljeberg, Juha Plosila, Siamak Mohammadi, Tapio Pahikkala, Onur Mutlu, Hannu Tenhunen
(
A4 Article in conference proceedings)

Learning Low Cost Multi-target Models by Enforcing Sparsity (2015)Naula P, Airola A, Salakoski T, Pahikkala T
(
A3 Book chapter)

Toward more realistic drug-target interaction predictions (2015)
Briefings in Bioinformatics
Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio
(
A1 Journal article – refereed)

A two-step learning approach for solving full and almost full cold start problems in dyadic prediction (2014)
Lecture Notes in Computer Science
Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman
(
A4 Article in conference proceedings)


Last updated on 2018-29-08 at 13:58