Antti Airola

According to our database, Antti Airola authored at least 83 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Flexible framework for generating synthetic electrocardiograms and photoplethysmograms.

Katri Karhinoja, Antti Vasankari, Jukka-Pekka Sirkiä, Antti Airola, David Wong, Matti Kaisti

CoRR, 2024

Empirical investigation of multi-source cross-validation in clinical machine learning.

Tuija Leinonen, David Wong, Ali Wahab, Ramesh Nadarajah, Matti Kaisti, Antti Airola

CoRR, 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 ECG classification.

Tuija Leinonen, David Wong, Antti Vasankari, Ali Wahab, Ramesh Nadarajah, Matti Kaisti, Antti Airola

Comput. Biol. Medicine, 2024

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

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., September, 2023

Quicksort leave-pair-out cross-validation for ROC curve analysis.

Riikka Numminen, Ileana Montoya Perez, Ivan Jambor, Tapio Pahikkala, Antti Airola

Comput. Stat., September, 2023

Domain randomization using synthetic electrocardiograms for training neural networks.

Matti Kaisti, Juho Laitala, David Wong, Antti Airola

Artif. Intell. Medicine, September, 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, August, 2023

Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data.

Valtteri Nieminen, Tapio Pahikkala, Antti Airola

Proceedings of the Annual Symposium of Computer Science 2023 co-located with The International Conference on Evaluation and Assessment in Software Engineering (EASE 2023), 2023

Evaluating Classifiers Trained on Differentially Private Synthetic Health Data.

Parisa Movahedi, Valtteri Nieminen, Ileana Montoya Perez, Tapio Pahikkala, Antti Airola

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data.

Katri Karhinoja, Tuukka Panula, Tuija Leinonen, Antti Airola, Sari Stenholm, Matti Kaisti

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022

Generalized vec trick for fast learning of pairwise kernel models.

Markus Viljanen, Antti Airola, Tapio Pahikkala

Mach. Learn., 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

Proceedings of the International Conference on Advanced Learning Technologies, 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

Proceedings of the Computing in Cardiology, 2022

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

Proceedings of the Computing in Cardiology, 2022

2021

Training neural networks with synthetic electrocardiograms.

Matti Kaisti, Juho Laitala, Antti Airola

CoRR, 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

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

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

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

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

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

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

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

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

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs.

Samuli Laato, Ali Farooq, Henri Tenhunen, Tinja Pitkamaki, Antti Hakkala, Antti Airola

Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

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, Tapio Salakoski, Antti Airola

Proceedings of the IEEE Frontiers in Education Conference, 2020

2019

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

2018

Fast Kronecker Product Kernel Methods via Generalized Vec Trick.

Antti Airola, Tapio Pahikkala

IEEE Trans. Neural Networks Learn. Syst., 2018

Playtime Measurement With Survival Analysis.

Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala

IEEE Trans. Games, 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

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

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

A/B-Test of Retention and Monetization Using the Cox Model.

Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala

Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

2016

RLScore: Regularized Least-Squares Learners.

Tapio Pahikkala, Antti Airola

J. Mach. Learn. Res., 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

Fast Kronecker product kernel methods via sampled vec trick.

Antti Airola, Tapio Pahikkala

CoRR, 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

User activity decay in mobile games determined by simple differential equations?

Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Modelling user retention in mobile games.

Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015

Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels.

Tapio Pahikkala, Markus Viljanen, Antti Airola, Willem Waegeman

CoRR, 2015

Toward more realistic drug-target interaction predictions.

Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Kumar Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio

Briefings Bioinform., 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

Proceedings of the 9th International Symposium on Networks-on-Chip, 2015

Learning Low Cost Multi-target Models by Enforcing Sparsity.

Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala

Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

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

Multi-label learning under feature extraction budgets.

Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala

Pattern Recognit. Lett., 2014

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers.

Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer

J. Comput. Sci. Technol., 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

Fast and simple gradient-based optimization for semi-supervised support vector machines.

Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer

Neurocomputing, 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

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

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

Proceedings of the 2nd European Workshop on Practical Aspects of Health Informatics, 2014

2013

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

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

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

Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification.

Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala

Evol. Intell., 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

Parallel Feature Selection for Regularized Least-Squares.

Sebastian Okser, Antti Airola, Tero Aittokallio, Tapio Salakoski, Tapio Pahikkala

Proceedings of the Applied Parallel and Scientific Computing, 2012

Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines.

Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer

Proceedings of the ICPRAM 2012, 2012

Unsupervised Multi-class Regularized Least-Squares Classification.

Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

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

Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

2011

Training linear ranking SVMs in linearithmic time using red-black trees.

Antti Airola, Tapio Pahikkala, Tapio Salakoski

Pattern Recognit. Lett., 2011

On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix.

Antti Airola, Tapio Pahikkala, Tapio Salakoski

Neural Process. Lett., 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

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

Learning Multi-Label Predictors under Sparsity Budget.

Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski

Proceedings of the Eleventh Scandinavian Conference on Artificial Intelligence, 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

Proceedings of the PECCS 2011, 2011

Speedy Local Search for Semi-Supervised Regularized Least-Squares.

Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala

Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Greedy Regularized Least-Squares for Multi-task Learning.

Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski

Proceedings of the Data Mining Workshops (ICDMW), 2011

An Improved Training Algorithm for the Linear Ranking Support Vector Machine.

Antti Airola, Tapio Pahikkala, Tapio Salakoski

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 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

Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Learning Valued Relations from Data.

Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets

Proceedings of the Eurofuse 2011, 2011

2010

A comparison of AUC estimators in small-sample studies.

Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski

Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

Conditional Ranking on Relational Data.

Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Speeding Up Greedy Forward Selection for Regularized Least-Squares.

Tapio Pahikkala, Antti Airola, Tapio Salakoski

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection.

Antti Airola, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

An efficient algorithm for learning to rank from preference graphs.

Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Jouni Järvinen, Jorma Boberg

Mach. Learn., 2009

Extracting Complex Biological Events with Rich Graph-Based Feature Sets.

Jari Björne, Juho Heimonen, Filip Ginter, Antti Airola, Tapio Pahikkala, Tapio Salakoski

Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, BioNLP@HLT-NAACL 2009, 2009

2008

Comparative analysis of five protein-protein interaction corpora.

Sampo Pyysalo, Antti Airola, Juho Heimonen, Jari Björne, Filip Ginter, Tapio Salakoski

BMC Bioinform., 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

A Sparse Regularized Least-Squares Preference Learning Algorithm.

Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski

Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

Efficient AUC Maximization with Regularized Least-Squares.

Tapio Pahikkala, Antti Airola, Hanna Suominen, Jorma Boberg, Tapio Salakoski

Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

A Graph Kernel for Protein-Protein Interaction Extraction.

Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski

Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008