Antti Airola

Orcid: 0000-0002-1010-4386

According to our database1, Antti Airola authored at least 78 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Accelerating Image Processing Using Reduced Precision Calculation Convolution Engines.
J. Signal Process. Syst., September, 2023

Quicksort leave-pair-out cross-validation for ROC curve analysis.
Comput. Stat., September, 2023

Domain randomization using synthetic electrocardiograms for training neural networks.
Artif. Intell. Medicine, September, 2023

Budget-Based Classification of Parkinson's Disease From Resting State EEG.
IEEE J. Biomed. Health Informatics, August, 2023

Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data.
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.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022
Generalized vec trick for fast learning of pairwise kernel models.
Mach. Learn., 2022

Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system.
Proceedings of the International Conference on Advanced Learning Technologies, 2022

Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups.
Proceedings of the Computing in Cardiology, 2022

Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation.
Proceedings of the Computing in Cardiology, 2022

2021
Training neural networks with synthetic electrocardiograms.
CoRR, 2021

A Link between Coding Theory and Cross-Validation with Applications.
CoRR, 2021

Adaptive risk prediction system with incremental and transfer learning.
Comput. Biol. Medicine, 2021

Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Measuring Player Retention and Monetization Using the Mean Cumulative Function.
IEEE Trans. Games, 2020

Synthetic minority oversampling of vital statistics data with generative adversarial networks.
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.
Int. J. Medical Informatics, 2020

Algebraic shortcuts for leave-one-out cross-validation in supervised network inference.
Briefings Bioinform., 2020

Robust ECG R-peak detection using LSTM.
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.
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.
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.
Data Min. Knowl. Discov., 2019

2018
Fast Kronecker Product Kernel Methods via Generalized Vec Trick.
IEEE Trans. Neural Networks Learn. Syst., 2018

Playtime Measurement With Survival Analysis.
IEEE Trans. Games, 2018

A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression.
Neural Comput., 2018

Learning with multiple pairwise kernels for drug bioactivity prediction.
Bioinform., 2018

2017
Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors.
PLoS Comput. Biol., 2017

A/B-Test of Retention and Monetization Using the Cox Model.
Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

2016
RLScore: Regularized Least-Squares Learners.
J. Mach. Learn. Res., 2016

Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method.
CoRR, 2016

Fast Kronecker product kernel methods via sampled vec trick.
CoRR, 2016

Comparison of automatic summarisation methods for clinical free text notes.
Artif. Intell. Medicine, 2016

User activity decay in mobile games determined by simple differential equations?
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Modelling user retention in mobile games.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels.
CoRR, 2015

Toward more realistic drug-target interaction predictions.
Briefings Bioinform., 2015

A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips.
Proceedings of the 9th International Symposium on Networks-on-Chip, 2015

Learning Low Cost Multi-target Models by Enforcing Sparsity.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

2014
Identification of Functionally Related Enzymes by Learning-to-Rank Methods.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Multi-label learning under feature extraction budgets.
Pattern Recognit. Lett., 2014

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers.
J. Comput. Sci. Technol., 2014

Predicting patient acuity from electronic patient records.
J. Biomed. Informatics, 2014

Fast and simple gradient-based optimization for semi-supervised support vector machines.
Neurocomputing, 2014

Statistical parsing of varieties of clinical Finnish.
Artif. Intell. Medicine, 2014

A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

On Evaluation of Automatically Generated Clinical Discharge Summaries.
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.
Mach. Learn., 2013

2012
A Kernel-Based Framework for Learning Graded Relations From Data.
IEEE Trans. Fuzzy Syst., 2012

Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems.
Int. J. Embed. Real Time Commun. Syst., 2012

Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification.
Evol. Intell., 2012

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations.
Algorithms Mol. Biol., 2012

Parallel Feature Selection for Regularized Least-Squares.
Proceedings of the Applied Parallel and Scientific Computing, 2012

Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines.
Proceedings of the ICPRAM 2012, 2012

Unsupervised Multi-class Regularized Least-Squares Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Implementation and Analysis of Block Dense Matrix Decomposition on Network-on-Chips.
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.
Pattern Recognit. Lett., 2011

On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix.
Neural Process. Lett., 2011

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve.
Comput. Stat. Data Anal., 2011

Extracting Contextualized Complex Biological Events with Rich Graph-Based Feature Sets.
Comput. Intell., 2011

Learning Multi-Label Predictors under Sparsity Budget.
Proceedings of the Eleventh Scandinavian Conference on Artificial Intelligence, 2011

A Parallel Online Regularized Least-squares Machine Learning Algorithm for Future Multi-core Processors.
Proceedings of the PECCS 2011, 2011

Speedy Local Search for Semi-Supervised Regularized Least-Squares.
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Greedy Regularized Least-Squares for Multi-task Learning.
Proceedings of the Data Mining Workshops (ICDMW), 2011

An Improved Training Algorithm for the Linear Ranking Support Vector Machine.
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.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Learning Valued Relations from Data.
Proceedings of the Eurofuse 2011, 2011

2010
A comparison of AUC estimators in small-sample studies.
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

Conditional Ranking on Relational Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Speeding Up Greedy Forward Selection for Regularized Least-Squares.
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.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
An efficient algorithm for learning to rank from preference graphs.
Mach. Learn., 2009

Extracting Complex Biological Events with Rich Graph-Based Feature Sets.
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.
BMC Bioinform., 2008

All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning.
BMC Bioinform., 2008

A Sparse Regularized Least-Squares Preference Learning Algorithm.
Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

Efficient AUC Maximization with Regularized Least-Squares.
Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

A Graph Kernel for Protein-Protein Interaction Extraction.
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008


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