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2020 – today
- 2024
[j39]Parisa Movahedi
, Valtteri Nieminen, Ileana Montoya Perez, Hiba Daafane, Dishant Sukhwal, Tapio Pahikkala, Antti Airola:
Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data. IEEE Access 12: 118637-118648 (2024)- [j38]Tuija Leinonen, David Wong, Antti Vasankari, Ali Wahab, Ramesh Nadarajah, Matti Kaisti, Antti Airola:
Empirical investigation of multi-source cross-validation in clinical ECG classification. Comput. Biol. Medicine 183: 109271 (2024) - [i15]Ileana Montoya Perez, Parisa Movahedi, Valtteri Nieminen, Antti Airola, Tapio Pahikkala:
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? CoRR abs/2403.13612 (2024) - [i14]Tuija Leinonen, David Wong, Ali Wahab, Ramesh Nadarajah, Matti Kaisti, Antti Airola:
Empirical investigation of multi-source cross-validation in clinical machine learning. CoRR abs/2403.15012 (2024) - [i13]Katri Karhinoja, Antti Vasankari, Jukka-Pekka Sirkiä, Antti Airola, David Wong, Matti Kaisti:
Flexible framework for generating synthetic electrocardiograms and photoplethysmograms. CoRR abs/2408.16291 (2024) - 2023
- [j37]Matti Kaisti, Juho Laitala, David Wong, Antti Airola:
Domain randomization using synthetic electrocardiograms for training neural networks. Artif. Intell. Medicine 143: 102583 (2023) - [j36]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): 1579-1595 (2023) - [j35]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): 3740-3747 (2023) - [j34]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): 1115-1126 (2023) - [c36]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: 1-4 - [c35]Parisa Movahedi, Valtteri Nieminen, Ileana Montoya Perez, Tapio Pahikkala, Antti Airola:
Evaluating Classifiers Trained on Differentially Private Synthetic Health Data. CBMS 2023: 748-753 - [c34]Valtteri Nieminen, Tapio Pahikkala, Antti Airola:
Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data. TKTP 2023: 72-81 - 2022
- [j33]Markus Viljanen, Antti Airola, Tapio Pahikkala:
Generalized vec trick for fast learning of pairwise kernel models. Mach. Learn. 111(2): 543-573 (2022) - [c33]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: 1-4 - [c32]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: 1-4 - [c31]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: 46-48 - 2021
- [j32]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: 104886 (2021) - [c30]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: 1-4 - [i12]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 abs/2103.11856 (2021) - [i11]Matti Kaisti, Juho Laitala, Antti Airola:
Training neural networks with synthetic electrocardiograms. CoRR abs/2111.06175 (2021) - 2020
- [j31]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): 262-271 (2020) - [j30]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) - [j29]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): 1667-1674 (2020) - [j28]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): 101-114 (2020) - [c29]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: 1-9 - [c28]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: 6-10 - [c27]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: 1104-1111 - [i10]Markus Viljanen, Antti Airola, Tapio Pahikkala:
Generalized vec trick for fast learning of pairwise kernel models. CoRR abs/2009.01054 (2020)
2010 – 2019
- 2019
- [j27]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): 730-747 (2019) - 2018
- [j26]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): i509-i518 (2018) - [j25]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) - [j24]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
Playtime Measurement With Survival Analysis. IEEE Trans. Games 10(2): 128-138 (2018) - [j23]Antti Airola, Tapio Pahikkala:
Fast Kronecker Product Kernel Methods via Generalized Vec Trick. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3374-3387 (2018) - [i9]Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression. CoRR abs/1803.01575 (2018) - 2017
- [j22]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) - [c26]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
A/B-Test of Retention and Monetization Using the Cox Model. AIIDE 2017: 248-254 - [i8]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
Playtime Measurement with Survival Analysis. CoRR abs/1701.02359 (2017) - 2016
- [j21]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: 25-37 (2016) - [j20]Tapio Pahikkala, Antti Airola:
RLScore: Regularized Least-Squares Learners. J. Mach. Learn. Res. 17: 221:1-221:5 (2016) - [c25]Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen:
Modelling user retention in mobile games. CIG 2016: 1-8 - [c24]Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen:
User activity decay in mobile games determined by simple differential equations? CIG 2016: 1-8 - [i7]Antti Airola, Tapio Pahikkala:
Fast Kronecker product kernel methods via sampled vec trick. CoRR abs/1601.01507 (2016) - [i6]Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman:
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method. CoRR abs/1606.04275 (2016) - 2015
- [j19]Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Kumar Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio:
Toward more realistic drug-target interaction predictions. Briefings Bioinform. 16(2): 325-337 (2015) - [c23]Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala:
Learning Low Cost Multi-target Models by Enforcing Sparsity. IEA/AIE 2015: 252-261 - [c22]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: 18:1-18:8 - [i5]Tapio Pahikkala, Markus Viljanen, Antti Airola, Willem Waegeman:
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels. CoRR abs/1506.05950 (2015) - 2014
- [j18]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): 131-136 (2014) - [j17]Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer:
Fast and simple gradient-based optimization for semi-supervised support vector machines. Neurocomputing 123: 23-32 (2014) - [j16]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: 35-40 (2014) - [j15]Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer:
On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers. J. Comput. Sci. Technol. 29(1): 90-104 (2014) - [j14]Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala:
Multi-label learning under feature extraction budgets. Pattern Recognit. Lett. 40: 56-65 (2014) - [j13]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): 1157-1169 (2014) - [c21]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: 101-114 - [c20]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: 517-532 - [i4]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 abs/1405.4394 (2014) - [i3]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 abs/1405.4423 (2014) - 2013
- [j12]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): 321-356 (2013) - 2012
- [j11]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: 11 (2012) - [j10]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): 189-205 (2012) - [j9]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): 73-91 (2012) - [j8]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): 1090-1101 (2012) - [c19]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: 516-523 - [c18]Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer:
Unsupervised Multi-class Regularized Least-Squares Classification. ICDM 2012: 585-594 - [c17]Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer:
Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. ICPRAM (1) 2012: 45-54 - [c16]Sebastian Okser, Antti Airola, Tero Aittokallio, Tapio Salakoski, Tapio Pahikkala:
Parallel Feature Selection for Regularized Least-Squares. PARA 2012: 280-294 - [i2]Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman:
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data. CoRR abs/1209.4825 (2012) - 2011
- [j7]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): 541-557 (2011) - [j6]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): 1828-1844 (2011) - [j5]Antti Airola, Tapio Pahikkala, Tapio Salakoski:
On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix. Neural Process. Lett. 33(1): 17-30 (2011) - [j4]Antti Airola, Tapio Pahikkala, Tapio Salakoski:
Training linear ranking SVMs in linearithmic time using red-black trees. Pattern Recognit. Lett. 32(9): 1328-1336 (2011) - [c15]Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets:
Learning Valued Relations from Data. Eurofuse 2011: 257-268 - [c14]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: 214-217 - [c13]Antti Airola, Tapio Pahikkala, Tapio Salakoski:
An Improved Training Algorithm for the Linear Ranking Support Vector Machine. ICANN (1) 2011: 134-141 - [c12]Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski:
Greedy Regularized Least-Squares for Multi-task Learning. ICDM Workshops 2011: 527-533 - [c11]Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala:
Speedy Local Search for Semi-Supervised Regularized Least-Squares. KI 2011: 87-98 - [c10]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: 590-599 - [c9]Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski:
Learning Multi-Label Predictors under Sparsity Budget. SCAI 2011: 30-39 - [i1]Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets:
A kernel-based framework for learning graded relations from data. CoRR abs/1111.6473 (2011) - 2010
- [c8]Tapio Pahikkala, Antti Airola, Tapio Salakoski:
Speeding Up Greedy Forward Selection for Regularized Least-Squares. ICMLA 2010: 325-330 - [c7]Antti Airola, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski:
Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection. ICMLA 2010: 989-994 - [c6]Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets:
Conditional Ranking on Relational Data. ECML/PKDD (2) 2010: 499-514 - [c5]Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski:
A comparison of AUC estimators in small-sample studies. MLSB 2010: 3-13
2000 – 2009
- 2009
- [j3]Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Jouni Järvinen, Jorma Boberg:
An efficient algorithm for learning to rank from preference graphs. Mach. Learn. 75(1): 129-165 (2009) - [c4]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: 10-18 - 2008
- [j2]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) - [j1]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) - [c3]Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski:
A Graph Kernel for Protein-Protein Interaction Extraction. BioNLP 2008: 1-9 - [c2]Tapio Pahikkala, Antti Airola, Hanna Suominen, Jorma Boberg, Tapio Salakoski:
Efficient AUC Maximization with Regularized Least-Squares. SCAI 2008: 12-19 - [c1]Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski:
A Sparse Regularized Least-Squares Preference Learning Algorithm. SCAI 2008: 76-83
Coauthor Index
[j39] [i15] [j36] [j35] [c35] [c34] [j33] [j32] [i12] [j31] [j30] [j29] [j28] [i10] [j27] [j26] [j25] [j24] [j23] [i9] [j22] [c26] [i8] [j21] [j20] [c25] [c24] [i7] [i6] [j19] [c23] [c22] [i5] [j17] [j16] [j15] [j14] [j13] [c21] [c20] [i4] [i3] [j12] [j11] [j10] [j9] [j8] [c19] [c18] [c17] [c16] [i2] [j7] [j6] [j5] [j4] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i1] [c8] [c7] [c6] [c5] [j3] [c4] [j2] [c3] [c2] [c1]
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