A Graph Kernel for Protein-Protein Interaction Extraction. - Antti Airola; Sampo Pyysalo; Jari Björne; Tapio Pahikkala; Filip Ginter; Tapio Salakoski (BioNLP, 2008)

Efficient AUC Maximization with Regularized Least-Squares. - Tapio Pahikkala; Antti Airola; Hanna Suominen; Jorma Boberg; Tapio Salakoski (SCAI, 2008)

A Sparse Regularized Least-Squares Preference Learning Algorithm. - Evgeni Tsivtsivadze; Tapio Pahikkala; Antti Airola; Jorma Boberg; Tapio Salakoski (SCAI, 2008)

All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning. - Antti Airola; Sampo Pyysalo; Jari Björne; Tapio Pahikkala; Filip Ginter; Tapio Salakoski (BMC Bioinform., 2008)

Comparative analysis of five protein-protein interaction corpora. - Sampo Pyysalo; Antti Airola; Juho Heimonen; Jari Björne; Filip Ginter; Tapio Salakoski (BMC Bioinform., 2008)

Extracting Complex Biological Events with Rich Graph-Based Feature Sets. - Jari Björne; Juho Heimonen; Filip Ginter; Antti Airola; Tapio Pahikkala; Tapio Salakoski (BioNLP@HLT-NAACL (Shared Task), 2009)

An efficient algorithm for learning to rank from preference graphs. - Tapio Pahikkala; Evgeni Tsivtsivadze; Antti Airola; Jouni Järvinen; Jorma Boberg (Mach. Learn., 2009)

Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection. - Antti Airola; Tapio Pahikkala; Jorma Boberg; Tapio Salakoski (ICMLA, 2010)

Speeding Up Greedy Forward Selection for Regularized Least-Squares. - Tapio Pahikkala; Antti Airola; Tapio Salakoski (ICMLA, 2010)

Conditional Ranking on Relational Data. - Tapio Pahikkala; Willem Waegeman; Antti Airola; Tapio Salakoski; Bernard De Baets (ECML/PKDD (2), 2010)

A comparison of AUC estimators in small-sample studies. - Antti Airola; Tapio Pahikkala; Willem Waegeman; Bernard De Baets; Tapio Salakoski (MLSB, 2010)

Learning Valued Relations from Data. - Willem Waegeman; Tapio Pahikkala; Antti Airola; Tapio Salakoski; Bernard De Baets (Eurofuse, 2011)

Fast and parallelized greedy forward selection of genetic variants in Genome-wide association studies. - Sebastian Okser; Tapio Pahikkala; Antti Airola; Tero Aittokallio; Tapio Salakoski (GENSiPS, 2011)

An Improved Training Algorithm for the Linear Ranking Support Vector Machine. - Antti Airola; Tapio Pahikkala; Tapio Salakoski (ICANN (1), 2011)

Greedy Regularized Least-Squares for Multi-task Learning. - Pekka Naula; Tapio Pahikkala; Antti Airola; Tapio Salakoski (ICDM Workshops, 2011)

Speedy Local Search for Semi-Supervised Regularized Least-Squares. - Fabian Gieseke; Oliver Kramer 001; Antti Airola; Tapio Pahikkala (KI, 2011)

A Parallel Online Regularized Least-squares Machine Learning Algorithm for Future Multi-core Processors. - Tapio Pahikkala; Antti Airola; Thomas Canhao Xu; Pasi Liljeberg; Hannu Tenhunen; Tapio Salakoski (PECCS, 2011)

Learning Multi-Label Predictors under Sparsity Budget. - Pekka Naula; Tapio Pahikkala; Antti Airola; Tapio Salakoski (SCAI, 2011)

Extracting Contextualized Complex Biological Events with Rich Graph-Based Feature Sets. - Jari Björne; Juho Heimonen; Filip Ginter; Antti Airola; Tapio Pahikkala; Tapio Salakoski (Comput. Intell., 2011)

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve. - Antti Airola; Tapio Pahikkala; Willem Waegeman; Bernard De Baets; Tapio Salakoski (Comput. Stat. Data Anal., 2011)

On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix. - Antti Airola; Tapio Pahikkala; Tapio Salakoski (Neural Process. Lett., 2011)

Training linear ranking SVMs in linearithmic time using red-black trees. - Antti Airola; Tapio Pahikkala; Tapio Salakoski (Pattern Recognit. Lett., 2011)

Implementation and Analysis of Block Dense Matrix Decomposition on Network-on-Chips. - Thomas Canhao Xu; Tapio Pahikkala; Antti Airola; Pasi Liljeberg; Juha Plosila; Tapio Salakoski; Hannu Tenhunen (HPCC-ICESS, 2012)

Unsupervised Multi-class Regularized Least-Squares Classification. - Tapio Pahikkala; Antti Airola; Fabian Gieseke; Oliver Kramer 001 (ICDM, 2012)

Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. - Fabian Gieseke; Antti Airola; Tapio Pahikkala; Oliver Kramer 001 (ICPRAM (1), 2012)

Parallel Feature Selection for Regularized Least-Squares. - Sebastian Okser; Antti Airola; Tero Aittokallio; Tapio Salakoski; Tapio Pahikkala (PARA, 2012)

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations. - Tapio Pahikkala; Sebastian Okser; Antti Airola; Tapio Salakoski; Tero Aittokallio (Algorithms Mol. Biol., 2012)

Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification. - Fabian Gieseke; Oliver Kramer 001; Antti Airola; Tapio Pahikkala (Evol. Intell., 2012)

Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems. - Tapio Pahikkala; Antti Airola; Thomas Canhao Xu; Pasi Liljeberg; Hannu Tenhunen; Tapio Salakoski (Int. J. Embed. Real Time Commun. Syst., 2012)

A Kernel-Based Framework for Learning Graded Relations From Data. - Willem Waegeman; Tapio Pahikkala; Antti Airola; Tapio Salakoski; Michiel Stock; Bernard De Baets (IEEE Trans. Fuzzy Syst., 2012)

Efficient regularized least-squares algorithms for conditional ranking on relational data. - Tapio Pahikkala; Antti Airola; Michiel Stock; Bernard De Baets; Willem Waegeman (Mach. Learn., 2013)

On Evaluation of Automatically Generated Clinical Discharge Summaries. - Hans Moen; Juho Heimonen; Laura-Maria Murtola; Antti Airola; Tapio Pahikkala; Virpi Terävä; Riitta Danielsson-Ojala; Tapio Salakoski; Sanna Salanterä (PAHI, 2014)

A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction. - Tapio Pahikkala; Michiel Stock; Antti Airola; Tero Aittokallio; Bernard De Baets; Willem Waegeman (ECML/PKDD (2), 2014)

Statistical parsing of varieties of clinical Finnish. - Veronika Laippala; Timo Viljanen; Antti Airola; Jenna Kanerva; Sanna Salanterä; Tapio Salakoski; Filip Ginter (Artif. Intell. Medicine, 2014)

Fast and simple gradient-based optimization for semi-supervised support vector machines. - Fabian Gieseke; Antti Airola; Tapio Pahikkala; Oliver Kramer 001 (Neurocomputing, 2014)

Predicting patient acuity from electronic patient records. - Elina Kontio; Antti Airola; Tapio Pahikkala; Heljä Lundgrén-Laine; Kristiina Junttila; Heikki Korvenranta; Tapio Salakoski; Sanna Salanterä (J. Biomed. Informatics, 2014)

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers. - Tapio Pahikkala; Antti Airola; Fabian Gieseke; Oliver Kramer 001 (J. Comput. Sci. Technol., 2014)

Multi-label learning under feature extraction budgets. - Pekka Naula; Antti Airola; Tapio Salakoski; Tapio Pahikkala (Pattern Recognit. Lett., 2014)

Identification of Functionally Related Enzymes by Learning-to-Rank Methods. - Michiel Stock; Thomas Fober; Eyke Hüllermeier; Serghei Glinca; Gerhard Klebe; Tapio Pahikkala; Antti Airola; Bernard De Baets; Willem Waegeman (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Learning Low Cost Multi-target Models by Enforcing Sparsity. - Pekka Naula; Antti Airola; Tapio Salakoski; Tapio Pahikkala (IEA/AIE, 2015)

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

Toward more realistic drug-target interaction predictions. - Tapio Pahikkala; Antti Airola; Sami Pietilä; Sushil Kumar Shakyawar; Agnieszka Szwajda; Jing Tang 002; Tero Aittokallio (Briefings Bioinform., 2015)

Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels. - Tapio Pahikkala; Markus Viljanen; Antti Airola; Willem Waegeman (CoRR, 2015)

Modelling user retention in mobile games. - Markus Viljanen; Antti Airola; Tapio Pahikkala; Jukka Heikkonen (CIG, 2016)

User activity decay in mobile games determined by simple differential equations? - Markus Viljanen; Antti Airola; Tapio Pahikkala; Jukka Heikkonen (CIG, 2016)

Comparison of automatic summarisation methods for clinical free text notes. - Hans Moen; Laura-Maria Peltonen; Juho Heimonen; Antti Airola; Tapio Pahikkala; Tapio Salakoski; Sanna Salanterä (Artif. Intell. Medicine, 2016)

Fast Kronecker product kernel methods via sampled vec trick. - Antti Airola; Tapio Pahikkala (CoRR, 2016)

Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method. - Michiel Stock; Tapio Pahikkala; Antti Airola; Bernard De Baets; Willem Waegeman (CoRR, 2016)

RLScore: Regularized Least-Squares Learners. - Tapio Pahikkala; Antti Airola (J. Mach. Learn. Res., 2016)

A/B-Test of Retention and Monetization Using the Cox Model. - Markus Viljanen; Antti Airola; Jukka Heikkonen; Tapio Pahikkala (AIIDE, 2017)

Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors. - Anna Cichonska; Balaguru Ravikumar; Elina Parri; Sanna Timonen; Tapio Pahikkala; Antti Airola; Krister Wennerberg; Juho Rousu; Tero Aittokallio (PLoS Comput. Biol., 2017)

Learning with multiple pairwise kernels for drug bioactivity prediction. - Anna Cichonska; Tapio Pahikkala; Sándor Szedmák; Heli Julkunen; Antti Airola; Markus Heinonen; Tero Aittokallio; Juho Rousu (Bioinform., 2018)

A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression. - Michiel Stock; Tapio Pahikkala; Antti Airola; Bernard De Baets; Willem Waegeman (Neural Comput., 2018)

Playtime Measurement With Survival Analysis. - Markus Viljanen; Antti Airola; Jukka Heikkonen; Tapio Pahikkala (IEEE Trans. Games, 2018)

Fast Kronecker Product Kernel Methods via Generalized Vec Trick. - Antti Airola; Tapio Pahikkala (IEEE Trans. Neural Networks Learn. Syst., 2018)

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers. - Antti Airola; Jonne Pohjankukka; Johanna Torppa; Maarit Middleton; Vesa Nykänen; Jukka Heikkonen; Tapio Pahikkala (Data Min. Knowl. Discov., 2019)

Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module. - Samuli Laato; Henna Vilppu; Juho Heimonen; Antti Hakkala; Jari Björne; Ali Farooq 001; Tapio Salakoski; Antti Airola (FIE, 2020)

AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs. - Samuli Laato; Ali Farooq 001; Henri Tenhunen; Tinja Pitkamaki; Antti Hakkala; Antti Airola (ICALT, 2020)

Robust ECG R-peak detection using LSTM. - Juho Laitala; Mingzhe Jiang; Elise Syrjälä; Emad Kasaeyan Naeini; Antti Airola; Amir M. Rahmani; Nikil D. Dutt; Pasi Liljeberg (SAC, 2020)

Algebraic shortcuts for leave-one-out cross-validation in supervised network inference. - Michiel Stock; Tapio Pahikkala; Antti Airola; Willem Waegeman; Bernard De Baets (Briefings Bioinform., 2020)

Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets. - Mika Murtojärvi; Anni S. Halkola; Antti Airola; Teemu D. Laajala; Tuomas Mirtti; Tero Aittokallio; Tapio Pahikkala (Int. J. Medical Informatics, 2020)

Synthetic minority oversampling of vital statistics data with generative adversarial networks. - Aki Koivu; Mikko Sairanen; Antti Airola; Tapio Pahikkala (J. Am. Medical Informatics Assoc., 2020)

Measuring Player Retention and Monetization Using the Mean Cumulative Function. - Markus Viljanen; Antti Airola; Anne-Maarit Majanoja; Jukka Heikkonen; Tapio Pahikkala (IEEE Trans. Games, 2020)

Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks. - Ismail Elnaggar; Tero Hurnanen; Olli Lahdenoja; Antti Airola; Matti Kaisti; Tuija Vasankari; Jouni Pykäri; Mikko Savontaus; Tero Koivisto (CinC, 2021)

Adaptive risk prediction system with incremental and transfer learning. - Aki Koivu; Mikko Sairanen; Antti Airola; Tapio Pahikkala; Wing-cheong Leung; Tsz-kin Lo; Daljit Singh Sahota (Comput. Biol. Medicine, 2021)

A Link between Coding Theory and Cross-Validation with Applications. - Tapio Pahikkala; Parisa Movahedi; Ileana Montoya Perez; Havu Miikonen; Ivan Jambor; Antti Airola; László Major (CoRR, 2021)

Training neural networks with synthetic electrocardiograms. - Matti Kaisti; Juho Laitala; Antti Airola (CoRR, 2021)

Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation. - Ismail Elnaggar; Tero Hurnanen; Jonas Sandelin; Olli Lahdenoja; Antti Airola; Matti Kaisti; Tero Koivisto (CinC, 2022)

Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups. - Ismail Elnaggar; Jouni Pykäri; Tero Hurnanen; Olli Lahdenoja; Antti Airola; Matti Kaisti; Tuija Vasankari; Mikko Savontaus; Tero Koivisto (CinC, 2022)

Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system. - Samuli Laato; Mika Murtojärvi; Antti Airola; Jari Björne (ICALT, 2022)

Generalized vec trick for fast learning of pairwise kernel models. - Markus Viljanen; Antti Airola; Tapio Pahikkala (Mach. Learn., 2022)

Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data. - Katri Karhinoja; Tuukka Panula; Tuija Leinonen; Antti Airola; Sari Stenholm; Matti Kaisti (BSN, 2023)

Evaluating Classifiers Trained on Differentially Private Synthetic Health Data. - Parisa Movahedi; Valtteri Nieminen; Ileana Montoya Perez; Tapio Pahikkala; Antti Airola (CBMS, 2023)

Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data. - Valtteri Nieminen; Tapio Pahikkala; Antti Airola (TKTP, 2023)

Budget-Based Classification of Parkinson's Disease From Resting State EEG. - Ilkka Suuronen; Antti Airola; Tapio Pahikkala; Mika Murtojärvi; Valtteri Kaasinen; Henry Railo (IEEE J. Biomed. Health Informatics, 2023)

Domain randomization using synthetic electrocardiograms for training neural networks. - Matti Kaisti; Juho Laitala; David Wong 001; Antti Airola (Artif. Intell. Medicine, 2023)

Quicksort leave-pair-out cross-validation for ROC curve analysis. - Riikka Numminen; Ileana Montoya Perez; Ivan Jambor; Tapio Pahikkala; Antti Airola (Comput. Stat., 2023)

Accelerating Image Processing Using Reduced Precision Calculation Convolution Engines. - Narayan Pokhrel; Sakari Snäll; Olli I. Heimo; Uruj Sarwar; Antti Airola; Tero Säntti (J. Signal Process. Syst., 2023)

Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data. - Parisa Movahedi; Valtteri Nieminen; Ileana Montoya Perez; Hiba Daafane; Dishant Sukhwal; Tapio Pahikkala; Antti Airola (IEEE Access, 2024)

Empirical investigation of multi-source cross-validation in clinical ECG classification. - Tuija Leinonen; David Wong 001; Antti Vasankari; Ali Wahab; Ramesh Nadarajah; Matti Kaisti; Antti Airola (Comput. Biol. Medicine, 2024)

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? - Ileana Montoya Perez; Parisa Movahedi; Valtteri Nieminen; Antti Airola; Tapio Pahikkala (CoRR, 2024)

Empirical investigation of multi-source cross-validation in clinical machine learning. - Tuija Leinonen; David Wong 001; Ali Wahab; Ramesh Nadarajah; Matti Kaisti; Antti Airola (CoRR, 2024)

Flexible framework for generating synthetic electrocardiograms and photoplethysmograms. - Katri Karhinoja; Antti Vasankari; Jukka-Pekka Sirkiä; Antti Airola; David Wong 001; Matti Kaisti (CoRR, 2024)

Towards practical federated learning and evaluation for medical prediction models. - Andrei Kazlouski; Ileana Montoya Perez; Faiza Anan Noor; Mikael Högerman; Otto Ettala; Tapio Pahikkala; Antti Airola (Int. J. Medical Informatics, 2025)

Stochastic limited memory bundle algorithm for clustering in big data. - Napsu Karmitsa; Ville-Pekka Eronen; Marko M. Mäkelä; Tapio Pahikkala; Antti Airola (Pattern Recognit., 2025)

Limited memory bundle DC algorithm for sparse pairwise kernel learning. - Napsu Karmitsa; Kaisa Joki; Antti Airola; Tapio Pahikkala (J. Glob. Optim., 2025)