Antti Airola

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 40

Top Topics

Differentially Private

Discharge Summaries

Survival Prediction

Top Venues

Artif. Intell. Medicine

Briefings Bioinform.

Publications

Ileana Montoya Perez, Parisa Movahedi, Valtteri Nieminen, Antti Airola, Tapio Pahikkala
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? CoRR (2024)
Tuija Leinonen, David Wong, Ali Wahab, Ramesh Nadarajah, Matti Kaisti, Antti Airola
Empirical investigation of multi-source cross-validation in clinical machine learning. CoRR (2024)
Ilkka Suuronen, Antti Airola, Tapio Pahikkala, Mika Murtojärvi, Valtteri Kaasinen, Henry Railo
Budget-Based Classification of Parkinson's Disease From Resting State EEG. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Valtteri Nieminen, Tapio Pahikkala, Antti Airola
Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data. TKTP (2023)
Matti Kaisti, Juho Laitala, David Wong, Antti Airola
Domain randomization using synthetic electrocardiograms for training neural networks. Artif. Intell. Medicine 143 (2023)
Katri Karhinoja, Tuukka Panula, Tuija Leinonen, Antti Airola, Sari Stenholm, Matti Kaisti
Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data. BSN (2023)
Parisa Movahedi, Valtteri Nieminen, Ileana Montoya Perez, Tapio Pahikkala, Antti Airola
Evaluating Classifiers Trained on Differentially Private Synthetic Health Data. CBMS (2023)
Narayan Pokhrel, Sakari Snäll, Olli I. Heimo, Uruj Sarwar, Antti Airola, Tero Säntti
Accelerating Image Processing Using Reduced Precision Calculation Convolution Engines. J. Signal Process. Syst. 95 (9) (2023)
Riikka Numminen, Ileana Montoya Perez, Ivan Jambor, Tapio Pahikkala, Antti Airola
Quicksort leave-pair-out cross-validation for ROC curve analysis. Comput. Stat. 38 (3) (2023)
Ismail Elnaggar, Tero Hurnanen, Jonas Sandelin, Olli Lahdenoja, Antti Airola, Matti Kaisti, Tero Koivisto
Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation. CinC (2022)
Samuli Laato, Mika Murtojärvi, Antti Airola, Jari Björne
Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system. ICALT (2022)
Markus Viljanen, Antti Airola, Tapio Pahikkala
Generalized vec trick for fast learning of pairwise kernel models. Mach. Learn. 111 (2) (2022)
Ismail Elnaggar, Jouni Pykäri, Tero Hurnanen, Olli Lahdenoja, Antti Airola, Matti Kaisti, Tuija Vasankari, Mikko Savontaus, Tero Koivisto
Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups. CinC (2022)
Aki Koivu, Mikko Sairanen, Antti Airola, Tapio Pahikkala, Wing-cheong Leung, Tsz-kin Lo, Daljit Singh Sahota
Adaptive risk prediction system with incremental and transfer learning. Comput. Biol. Medicine 138 (2021)
Tapio Pahikkala, Parisa Movahedi, Ileana Montoya Perez, Havu Miikonen, Ivan Jambor, Antti Airola, László Major
A Link between Coding Theory and Cross-Validation with Applications. CoRR (2021)
Ismail Elnaggar, Tero Hurnanen, Olli Lahdenoja, Antti Airola, Matti Kaisti, Tuija Vasankari, Jouni Pykäri, Mikko Savontaus, Tero Koivisto
Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks. CinC (2021)
Matti Kaisti, Juho Laitala, Antti Airola
Training neural networks with synthetic electrocardiograms. CoRR (2021)
Juho Laitala, Mingzhe Jiang, Elise Syrjälä, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil D. Dutt, Pasi Liljeberg
Robust ECG R-peak detection using LSTM. SAC (2020)
Samuli Laato, Ali Farooq, Henri Tenhunen, Tinja Pitkamaki, Antti Hakkala, Antti Airola
AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs. ICALT (2020)
Aki Koivu, Mikko Sairanen, Antti Airola, Tapio Pahikkala
Synthetic minority oversampling of vital statistics data with generative adversarial networks. J. Am. Medical Informatics Assoc. 27 (11) (2020)
Mika Murtojärvi, Anni S. Halkola, Antti Airola, Teemu D. Laajala, Tuomas Mirtti, Tero Aittokallio, Tapio Pahikkala
Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets. Int. J. Medical Informatics 133 (2020)
Markus Viljanen, Antti Airola, Anne-Maarit Majanoja, Jukka Heikkonen, Tapio Pahikkala
Measuring Player Retention and Monetization Using the Mean Cumulative Function. IEEE Trans. Games 12 (1) (2020)
Samuli Laato, Henna Vilppu, Juho Heimonen, Antti Hakkala, Jari Björne, Ali Farooq, Tapio Salakoski, Antti Airola
Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module. FIE (2020)
Michiel Stock, Tapio Pahikkala, Antti Airola, Willem Waegeman, Bernard De Baets
Algebraic shortcuts for leave-one-out cross-validation in supervised network inference. Briefings Bioinform. 21 (1) (2020)
Markus Viljanen, Antti Airola, Tapio Pahikkala
Generalized vec trick for fast learning of pairwise kernel models. CoRR (2020)
Antti Airola, Jonne Pohjankukka, Johanna Torppa, Maarit Middleton, Vesa Nykänen, Jukka Heikkonen, Tapio Pahikkala
The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers. Data Min. Knowl. Discov. 33 (3) (2019)
Anna Cichonska, Tapio Pahikkala, Sándor Szedmák, Heli Julkunen, Antti Airola, Markus Heinonen, Tero Aittokallio, Juho Rousu
Learning with multiple pairwise kernels for drug bioactivity prediction. Bioinform. 34 (13) (2018)
Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression. CoRR (2018)
Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
Playtime Measurement With Survival Analysis. IEEE Trans. Games 10 (2) (2018)
Antti Airola, Tapio Pahikkala
Fast Kronecker Product Kernel Methods via Generalized Vec Trick. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression. Neural Comput. 30 (8) (2018)
Anna Cichonska, Balaguru Ravikumar, Elina Parri, Sanna Timonen, Tapio Pahikkala, Antti Airola, Krister Wennerberg, Juho Rousu, Tero Aittokallio
Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors. PLoS Comput. Biol. 13 (8) (2017)
Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
A/B-Test of Retention and Monetization Using the Cox Model. AIIDE (2017)
Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
Playtime Measurement with Survival Analysis. CoRR (2017)
Tapio Pahikkala, Antti Airola
RLScore: Regularized Least-Squares Learners. J. Mach. Learn. Res. 17 (2016)
Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
Modelling user retention in mobile games. CIG (2016)
Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
User activity decay in mobile games determined by simple differential equations? CIG (2016)
Hans Moen, Laura-Maria Peltonen, Juho Heimonen, Antti Airola, Tapio Pahikkala, Tapio Salakoski, Sanna Salanterä
Comparison of automatic summarisation methods for clinical free text notes. Artif. Intell. Medicine 67 (2016)
Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method. CoRR (2016)
Antti Airola, Tapio Pahikkala
Fast Kronecker product kernel methods via sampled vec trick. CoRR (2016)
Tapio Pahikkala, Markus Viljanen, Antti Airola, Willem Waegeman
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels. CoRR (2015)
Mohammad Fattah, Antti Airola, Rachata Ausavarungnirun, Nima Mirzaei, Pasi Liljeberg, Juha Plosila, Siamak Mohammadi, Tapio Pahikkala, Onur Mutlu, Hannu Tenhunen
A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips. NOCS (2015)
Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala
Learning Low Cost Multi-target Models by Enforcing Sparsity. IEA/AIE (2015)
Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio
Toward more realistic drug-target interaction predictions. Briefings Bioinform. 16 (2) (2015)
Hans Moen, Juho Heimonen, Laura-Maria Murtola, Antti Airola, Tapio Pahikkala, Virpi Terävä, Riitta Danielsson-Ojala, Tapio Salakoski, Sanna Salanterä
On Evaluation of Automatically Generated Clinical Discharge Summaries. PAHI (2014)
Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
Identification of Functionally Related Enzymes by Learning-to-Rank Methods. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (6) (2014)
Veronika Laippala, Timo Viljanen, Antti Airola, Jenna Kanerva, Sanna Salanterä, Tapio Salakoski, Filip Ginter
Statistical parsing of varieties of clinical Finnish. Artif. Intell. Medicine 61 (3) (2014)
Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala
Multi-label learning under feature extraction budgets. Pattern Recognit. Lett. 40 (2014)
Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman
A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction. ECML/PKDD (2) (2014)
Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer
On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers. J. Comput. Sci. Technol. 29 (1) (2014)
Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer
Fast and simple gradient-based optimization for semi-supervised support vector machines. Neurocomputing 123 (2014)
Elina Kontio, Antti Airola, Tapio Pahikkala, Heljä Lundgrén-Laine, Kristiina Junttila, Heikki Korvenranta, Tapio Salakoski, Sanna Salanterä
Predicting patient acuity from electronic patient records. J. Biomed. Informatics 51 (2014)
Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman
A two-step learning approach for solving full and almost full cold start problems in dyadic prediction. CoRR (2014)
Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
Identification of functionally related enzymes by learning-to-rank methods. CoRR (2014)
Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman
Efficient regularized least-squares algorithms for conditional ranking on relational data. Mach. Learn. 93 (2-3) (2013)
Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets
A Kernel-Based Framework for Learning Graded Relations From Data. IEEE Trans. Fuzzy Syst. 20 (6) (2012)
Tapio Pahikkala, Sebastian Okser, Antti Airola, Tapio Salakoski, Tero Aittokallio
Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations. Algorithms Mol. Biol. 7 (2012)
Sebastian Okser, Antti Airola, Tero Aittokallio, Tapio Salakoski, Tapio Pahikkala
Parallel Feature Selection for Regularized Least-Squares. PARA (2012)
Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer
Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. ICPRAM (1) (2012)
Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data CoRR (2012)
Thomas Canhao Xu, Tapio Pahikkala, Antti Airola, Pasi Liljeberg, Juha Plosila, Tapio Salakoski, Hannu Tenhunen
Implementation and Analysis of Block Dense Matrix Decomposition on Network-on-Chips. HPCC-ICESS (2012)
Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski
Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems. Int. J. Embed. Real Time Commun. Syst. 3 (2) (2012)
Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala
Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification. Evol. Intell. 5 (3) (2012)
Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer
Unsupervised Multi-class Regularized Least-Squares Classification. ICDM (2012)
Sebastian Okser, Tapio Pahikkala, Antti Airola, Tero Aittokallio, Tapio Salakoski
Fast and parallelized greedy forward selection of genetic variants in Genome-wide association studies. GENSiPS (2011)
Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets
A kernel-based framework for learning graded relations from data CoRR (2011)
Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala
Speedy Local Search for Semi-Supervised Regularized Least-Squares. KI (2011)
Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets
Learning Valued Relations from Data. Eurofuse (2011)
Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski
An experimental comparison of cross-validation techniques for estimating the area under the ROC curve. Comput. Stat. Data Anal. 55 (4) (2011)
Antti Airola, Tapio Pahikkala, Tapio Salakoski
An Improved Training Algorithm for the Linear Ranking Support Vector Machine. ICANN (1) (2011)
Jari Björne, Juho Heimonen, Filip Ginter, Antti Airola, Tapio Pahikkala, Tapio Salakoski
Extracting Contextualized Complex Biological Events with Rich Graph-Based Feature Sets. Comput. Intell. 27 (4) (2011)
Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski
Learning Multi-Label Predictors under Sparsity Budget. SCAI (2011)
Antti Airola, Tapio Pahikkala, Tapio Salakoski
On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix. Neural Process. Lett. 33 (1) (2011)
Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski
Greedy Regularized Least-Squares for Multi-task Learning. ICDM Workshops (2011)
Antti Airola, Tapio Pahikkala, Tapio Salakoski
Training linear ranking SVMs in linearithmic time using red-black trees. Pattern Recognit. Lett. 32 (9) (2011)
Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski
A Parallel Online Regularized Least-squares Machine Learning Algorithm for Future Multi-core Processors. PECCS (2011)
Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski
A comparison of AUC estimators in small-sample studies. MLSB (2010)
Antti Airola, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski
Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection. ICMLA (2010)
Tapio Pahikkala, Antti Airola, Tapio Salakoski
Speeding Up Greedy Forward Selection for Regularized Least-Squares. ICMLA (2010)
Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets
Conditional Ranking on Relational Data. ECML/PKDD (2) (2010)
Jari Björne, Juho Heimonen, Filip Ginter, Antti Airola, Tapio Pahikkala, Tapio Salakoski
Extracting Complex Biological Events with Rich Graph-Based Feature Sets. BioNLP@HLT-NAACL (Shared Task) (2009)
Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Jouni Järvinen, Jorma Boberg
An efficient algorithm for learning to rank from preference graphs. Mach. Learn. 75 (1) (2009)
Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning. BMC Bioinform. 9 (S-11) (2008)
Sampo Pyysalo, Antti Airola, Juho Heimonen, Jari Björne, Filip Ginter, Tapio Salakoski
Comparative analysis of five protein-protein interaction corpora. BMC Bioinform. 9 (S-3) (2008)
Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski
A Graph Kernel for Protein-Protein Interaction Extraction. BioNLP (2008)
Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski
A Sparse Regularized Least-Squares Preference Learning Algorithm. SCAI (2008)
Tapio Pahikkala, Antti Airola, Hanna Suominen, Jorma Boberg, Tapio Salakoski
Efficient AUC Maximization with Regularized Least-Squares. SCAI (2008)