Antti Airola - RankMe

99 papers A* 1B 4C 5Misc 2Journal 61Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluation metrics for temporal preservation in synthetic longitudinal patient data. CoRR Katariina Perkonoja, Parisa Movahedi, Antti Airola, Kari Auranen, Joni Virta
2026	J	`jnl`	Securing deep learning models with differential privacy for cardiovascular disease prediction. Biomed. Signal Process. Control. Zoher Orabe, Antti Vasankari, Tapio Pahikkala, Matti Kaisti, Antti Airola
2025	J	`jnl`	A Comprehensive Guide to Differential Privacy: From Theory to User Expectations. CoRR Napsu Karmitsa, Antti Airola, Tapio Pahikkala, Tinja Pitkämäki
2025	B	`conf`	Cross-Dataset Validation of a Sensor Agnostic Seismocardiography Peak Detection Method. CHASE Ismail Elnaggar, Sepehr Seifizarei, Jonas Sandelin, Olli Lahdenoja, Antti Airola, Matti Kaisti, Tero Koivisto
2025	J	`jnl`	Interaction Concordance Index: Performance Evaluation for Interaction Prediction Methods. CoRR Tapio Pahikkala, Riikka Numminen, Parisa Movahedi, Napsu Karmitsa, Antti Airola
2025	J	`jnl`	Limited memory bundle DC algorithm for sparse pairwise kernel learning. J. Glob. Optim. Napsu Karmitsa, Kaisa Joki, Antti Airola, Tapio Pahikkala
2025	J	`jnl`	Stochastic limited memory bundle algorithm for clustering in big data. Pattern Recognit. Napsu Karmitsa, Ville-Pekka Eronen, Marko M. Mäkelä, Tapio Pahikkala, Antti Airola
2025	—	`conf`	Towards Inclusive AI System Development for Disease Risk Prediction: Collecting, Prioritising and Incorporating User Stories from Heterogeneous Stakeholders. HCI (77) Nicholas Shopland, Andrew M. Burton, David J. Brown, Mufti Mahmud, Muhammad Arifur Rahman, David R. Baldwin, Antti Airola, Tapio Pahikkala, Elina Kontio, Jussi Salmi, Carlos Alexandre Nunes Ferreira, Tânia Pereira, Hélder Filipe Oliveira, Almudena Maceda Garcia, Christos Chatzichristos
2025	J	`jnl`	Towards practical federated learning and evaluation for medical prediction models. Int. J. Medical Informatics Andrei Kazlouski, Ileana Montoya Perez, Faiza Anan Noor, Mikael Högerman, Otto Ettala, Tapio Pahikkala, Antti Airola
2024	J	`jnl`	Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data. IEEE Access Parisa Movahedi, Valtteri Nieminen, Ileana Montoya Perez, Hiba Daafane, Dishant Sukhwal, Tapio Pahikkala, Antti Airola
2024	J	`jnl`	Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? CoRR Ileana Montoya Perez, Parisa Movahedi, Valtteri Nieminen, Antti Airola, Tapio Pahikkala
2024	J	`jnl`	Empirical investigation of multi-source cross-validation in clinical ECG classification. Comput. Biol. Medicine Tuija Leinonen, David Wong, Antti Vasankari, Ali Wahab, Ramesh Nadarajah, Matti Kaisti, Antti Airola
2024	J	`jnl`	Empirical investigation of multi-source cross-validation in clinical machine learning. CoRR Tuija Leinonen, David Wong, Ali Wahab, Ramesh Nadarajah, Matti Kaisti, Antti Airola
2024	J	`jnl`	Flexible framework for generating synthetic electrocardiograms and photoplethysmograms. CoRR Katri Karhinoja, Antti Vasankari, Jukka-Pekka Sirkiä, Antti Airola, David Wong, Matti Kaisti
2023	J	`jnl`	Accelerating Image Processing Using Reduced Precision Calculation Convolution Engines. J. Signal Process. Syst. Narayan Pokhrel, Sakari Snäll, Olli I. Heimo, Uruj Sarwar, Antti Airola, Tero Säntti
2023	J	`jnl`	Budget-Based Classification of Parkinson's Disease From Resting State EEG. IEEE J. Biomed. Health Informatics Ilkka Suuronen, Antti Airola, Tapio Pahikkala, Mika Murtojärvi, Valtteri Kaasinen, Henry Railo
2023	J	`jnl`	Domain randomization using synthetic electrocardiograms for training neural networks. Artif. Intell. Medicine Matti Kaisti, Juho Laitala, David Wong, Antti Airola
2023	—	`conf`	Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data. TKTP Valtteri Nieminen, Tapio Pahikkala, Antti Airola
2023	C	`conf`	Enhancing the Reliability of Wearable Cardiac Monitoring using Accelerometer Activity Data. BSN Katri Karhinoja, Tuukka Panula, Tuija Leinonen, Antti Airola, Sari Stenholm, Matti Kaisti
2023	B	`conf`	Evaluating Classifiers Trained on Differentially Private Synthetic Health Data. CBMS Parisa Movahedi, Valtteri Nieminen, Ileana Montoya Perez, Tapio Pahikkala, Antti Airola
2023	J	`jnl`	Quicksort leave-pair-out cross-validation for ROC curve analysis. Comput. Stat. Riikka Numminen, Ileana Montoya Perez, Ivan Jambor, Tapio Pahikkala, Antti Airola
2022	—	`conf`	Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups. CinC Ismail Elnaggar, Jouni Pykäri, Tero Hurnanen, Olli Lahdenoja, Antti Airola, Matti Kaisti, Tuija Vasankari, Mikko Savontaus, Tero Koivisto
2022	J	`jnl`	Generalized vec trick for fast learning of pairwise kernel models. Mach. Learn. Markus Viljanen, Antti Airola, Tapio Pahikkala
2022	—	`conf`	Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation. CinC Ismail Elnaggar, Tero Hurnanen, Jonas Sandelin, Olli Lahdenoja, Antti Airola, Matti Kaisti, Tero Koivisto
2022	B	`conf`	Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system. ICALT Samuli Laato, Mika Murtojärvi, Antti Airola, Jari Björne
2021	J	`jnl`	A Link between Coding Theory and Cross-Validation with Applications. CoRR Tapio Pahikkala, Parisa Movahedi, Ileana Montoya Perez, Havu Miikonen, Ivan Jambor, Antti Airola, László Major
2021	J	`jnl`	Adaptive risk prediction system with incremental and transfer learning. Comput. Biol. Medicine Aki Koivu, Mikko Sairanen, Antti Airola, Tapio Pahikkala, Wing-cheong Leung, Tsz-kin Lo, Daljit Singh Sahota
2021	—	`conf`	Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks. CinC Ismail Elnaggar, Tero Hurnanen, Olli Lahdenoja, Antti Airola, Matti Kaisti, Tuija Vasankari, Jouni Pykäri, Mikko Savontaus, Tero Koivisto
2021	J	`jnl`	Training neural networks with synthetic electrocardiograms. CoRR Matti Kaisti, Juho Laitala, Antti Airola
2020	B	`conf`	AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs. ICALT Samuli Laato, Ali Farooq, Henri Tenhunen, Tinja Pitkamaki, Antti Hakkala, Antti Airola
2020	J	`jnl`	Algebraic shortcuts for leave-one-out cross-validation in supervised network inference. Briefings Bioinform. Michiel Stock, Tapio Pahikkala, Antti Airola, Willem Waegeman, Bernard De Baets
2020	J	`jnl`	Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets. Int. J. Medical Informatics Mika Murtojärvi, Anni S. Halkola, Antti Airola, Teemu D. Laajala, Tuomas Mirtti, Tero Aittokallio, Tapio Pahikkala
2020	J	`jnl`	Generalized vec trick for fast learning of pairwise kernel models. CoRR Markus Viljanen, Antti Airola, Tapio Pahikkala
2020	J	`jnl`	Measuring Player Retention and Monetization Using the Mean Cumulative Function. IEEE Trans. Games Markus Viljanen, Antti Airola, Anne-Maarit Majanoja, Jukka Heikkonen, Tapio Pahikkala
2020	C	`conf`	Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module. FIE Samuli Laato, Henna Vilppu, Juho Heimonen, Antti Hakkala, Jari Björne, Ali Farooq, Tapio Salakoski, Antti Airola
2020	Misc	`conf`	Robust ECG R-peak detection using LSTM. SAC Juho Laitala, Mingzhe Jiang, Elise Syrjälä, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil D. Dutt, Pasi Liljeberg
2020	J	`jnl`	Synthetic minority oversampling of vital statistics data with generative adversarial networks. J. Am. Medical Informatics Assoc. Aki Koivu, Mikko Sairanen, Antti Airola, Tapio Pahikkala
2019	J	`jnl`	The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers. Data Min. Knowl. Discov. Antti Airola, Jonne Pohjankukka, Johanna Torppa, Maarit Middleton, Vesa Nykänen, Jukka Heikkonen, Tapio Pahikkala
2018	J	`jnl`	A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression. Neural Comput. Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
2018	J	`jnl`	A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression. CoRR Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
2018	J	`jnl`	Fast Kronecker Product Kernel Methods via Generalized Vec Trick. IEEE Trans. Neural Networks Learn. Syst. Antti Airola, Tapio Pahikkala
2018	J	`jnl`	Learning with multiple pairwise kernels for drug bioactivity prediction. Bioinform. Anna Cichonska, Tapio Pahikkala, Sándor Szedmák, Heli Julkunen, Antti Airola, Markus Heinonen, Tero Aittokallio, Juho Rousu
2018	J	`jnl`	Playtime Measurement With Survival Analysis. IEEE Trans. Games Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
2017	—	`conf`	A/B-Test of Retention and Monetization Using the Cox Model. AIIDE Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
2017	J	`jnl`	Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors. PLoS Comput. Biol. Anna Cichonska, Balaguru Ravikumar, Elina Parri, Sanna Timonen, Tapio Pahikkala, Antti Airola, Krister Wennerberg, Juho Rousu, Tero Aittokallio
2017	J	`jnl`	Playtime Measurement with Survival Analysis. CoRR Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
2016	J	`jnl`	Comparison of automatic summarisation methods for clinical free text notes. Artif. Intell. Medicine Hans Moen, Laura-Maria Peltonen, Juho Heimonen, Antti Airola, Tapio Pahikkala, Tapio Salakoski, Sanna Salanterä
2016	J	`jnl`	Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method. CoRR Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
2016	J	`jnl`	Fast Kronecker product kernel methods via sampled vec trick. CoRR Antti Airola, Tapio Pahikkala
2016	—	`conf`	Modelling user retention in mobile games. CIG Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
2016	J	`jnl`	RLScore: Regularized Least-Squares Learners. J. Mach. Learn. Res. Tapio Pahikkala, Antti Airola
2016	—	`conf`	User activity decay in mobile games determined by simple differential equations? CIG Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
2015	—	`conf`	A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips. NOCS Mohammad Fattah, Antti Airola, Rachata Ausavarungnirun, Nima Mirzaei, Pasi Liljeberg, Juha Plosila, Siamak Mohammadi, Tapio Pahikkala, Onur Mutlu, Hannu Tenhunen
2015	C	`conf`	Learning Low Cost Multi-target Models by Enforcing Sparsity. IEA/AIE Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala
2015	J	`jnl`	Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels. CoRR Tapio Pahikkala, Markus Viljanen, Antti Airola, Willem Waegeman
2015	J	`jnl`	Toward more realistic drug-target interaction predictions. Briefings Bioinform. Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Kumar Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio
2014	—	`conf`	A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction. ECML/PKDD (2) Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman
2014	J	`jnl`	A two-step learning approach for solving full and almost full cold start problems in dyadic prediction. CoRR Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman
2014	J	`jnl`	Fast and simple gradient-based optimization for semi-supervised support vector machines. Neurocomputing Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer
2014	J	`jnl`	Identification of Functionally Related Enzymes by Learning-to-Rank Methods. IEEE ACM Trans. Comput. Biol. Bioinform. Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
2014	J	`jnl`	Identification of functionally related enzymes by learning-to-rank methods. CoRR Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
2014	J	`jnl`	Multi-label learning under feature extraction budgets. Pattern Recognit. Lett. Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala
2014	—	`conf`	On Evaluation of Automatically Generated Clinical Discharge Summaries. PAHI Hans Moen, Juho Heimonen, Laura-Maria Murtola, Antti Airola, Tapio Pahikkala, Virpi Terävä, Riitta Danielsson-Ojala, Tapio Salakoski, Sanna Salanterä
2014	J	`jnl`	On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers. J. Comput. Sci. Technol. Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer
2014	J	`jnl`	Predicting patient acuity from electronic patient records. J. Biomed. Informatics Elina Kontio, Antti Airola, Tapio Pahikkala, Heljä Lundgrén-Laine, Kristiina Junttila, Heikki Korvenranta, Tapio Salakoski, Sanna Salanterä
2014	J	`jnl`	Statistical parsing of varieties of clinical Finnish. Artif. Intell. Medicine Veronika Laippala, Timo Viljanen, Antti Airola, Jenna Kanerva, Sanna Salanterä, Tapio Salakoski, Filip Ginter
2013	J	`jnl`	Efficient regularized least-squares algorithms for conditional ranking on relational data. Mach. Learn. Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman
2012	J	`jnl`	A Kernel-Based Framework for Learning Graded Relations From Data. IEEE Trans. Fuzzy Syst. Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets
2012	J	`jnl`	Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data CoRR Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman
2012	J	`jnl`	Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification. Evol. Intell. Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala
2012	—	`conf`	Implementation and Analysis of Block Dense Matrix Decomposition on Network-on-Chips. HPCC-ICESS Thomas Canhao Xu, Tapio Pahikkala, Antti Airola, Pasi Liljeberg, Juha Plosila, Tapio Salakoski, Hannu Tenhunen
2012	—	`conf`	Parallel Feature Selection for Regularized Least-Squares. PARA Sebastian Okser, Antti Airola, Tero Aittokallio, Tapio Salakoski, Tapio Pahikkala
2012	J	`jnl`	Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems. Int. J. Embed. Real Time Commun. Syst. Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski
2012	—	`conf`	Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. ICPRAM (1) Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer
2012	A*	`conf`	Unsupervised Multi-class Regularized Least-Squares Classification. ICDM Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer
2012	J	`jnl`	Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations. Algorithms Mol. Biol. Tapio Pahikkala, Sebastian Okser, Antti Airola, Tapio Salakoski, Tero Aittokallio
2011	—	`conf`	A Parallel Online Regularized Least-squares Machine Learning Algorithm for Future Multi-core Processors. PECCS Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski
2011	J	`jnl`	A kernel-based framework for learning graded relations from data CoRR Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets
2011	—	`conf`	An Improved Training Algorithm for the Linear Ranking Support Vector Machine. ICANN (1) Antti Airola, Tapio Pahikkala, Tapio Salakoski
2011	J	`jnl`	An experimental comparison of cross-validation techniques for estimating the area under the ROC curve. Comput. Stat. Data Anal. Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski
2011	J	`jnl`	Extracting Contextualized Complex Biological Events with Rich Graph-Based Feature Sets. Comput. Intell. Jari Björne, Juho Heimonen, Filip Ginter, Antti Airola, Tapio Pahikkala, Tapio Salakoski
2011	—	`conf`	Fast and parallelized greedy forward selection of genetic variants in Genome-wide association studies. GENSiPS Sebastian Okser, Tapio Pahikkala, Antti Airola, Tero Aittokallio, Tapio Salakoski
2011	—	`conf`	Greedy Regularized Least-Squares for Multi-task Learning. ICDM Workshops Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski
2011	—	`conf`	Learning Multi-Label Predictors under Sparsity Budget. SCAI Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski
2011	—	`conf`	Learning Valued Relations from Data. Eurofuse Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets
2011	J	`jnl`	On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix. Neural Process. Lett. Antti Airola, Tapio Pahikkala, Tapio Salakoski
2011	Misc	`conf`	Speedy Local Search for Semi-Supervised Regularized Least-Squares. KI Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala
2011	J	`jnl`	Training linear ranking SVMs in linearithmic time using red-black trees. Pattern Recognit. Lett. Antti Airola, Tapio Pahikkala, Tapio Salakoski
2010	—	`conf`	A comparison of AUC estimators in small-sample studies. MLSB Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski
2010	C	`conf`	Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection. ICMLA Antti Airola, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski
2010	—	`conf`	Conditional Ranking on Relational Data. ECML/PKDD (2) Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets
2010	C	`conf`	Speeding Up Greedy Forward Selection for Regularized Least-Squares. ICMLA Tapio Pahikkala, Antti Airola, Tapio Salakoski
2009	J	`jnl`	An efficient algorithm for learning to rank from preference graphs. Mach. Learn. Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Jouni Järvinen, Jorma Boberg
2009	—	`conf`	Extracting Complex Biological Events with Rich Graph-Based Feature Sets. BioNLP@HLT-NAACL (Shared Task) Jari Björne, Juho Heimonen, Filip Ginter, Antti Airola, Tapio Pahikkala, Tapio Salakoski
2008	—	`conf`	A Graph Kernel for Protein-Protein Interaction Extraction. BioNLP Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski
2008	—	`conf`	A Sparse Regularized Least-Squares Preference Learning Algorithm. SCAI Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski
2008	J	`jnl`	All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning. BMC Bioinform. Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski
2008	J	`jnl`	Comparative analysis of five protein-protein interaction corpora. BMC Bioinform. Sampo Pyysalo, Antti Airola, Juho Heimonen, Jari Björne, Filip Ginter, Tapio Salakoski
2008	—	`conf`	Efficient AUC Maximization with Regularized Least-Squares. SCAI Tapio Pahikkala, Antti Airola, Hanna Suominen, Jorma Boberg, Tapio Salakoski