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2020 – today
- 2024
[j60]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)- [j59]Dimitrios Iliadis, Bernard De Baets, Tapio Pahikkala, Willem Waegeman:
A comparison of embedding aggregation strategies in drug-target interaction prediction. BMC Bioinform. 25(1): 59 (2024) - [i16]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) - 2023
- [j58]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) - [j57]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) - [c63]Parisa Movahedi, Valtteri Nieminen, Ileana Montoya Perez, Tapio Pahikkala, Antti Airola:
Evaluating Classifiers Trained on Differentially Private Synthetic Health Data. CBMS 2023: 748-753 - [c62]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
- [j56]Markus Viljanen, Antti Airola, Tapio Pahikkala:
Generalized vec trick for fast learning of pairwise kernel models. Mach. Learn. 111(2): 543-573 (2022) - [j55]Riikka Numminen, Markus Juhani Viljanen, Tapio Pahikkala:
Bayesian Inference for Predicting the Monetization Percentage in Free-to-Play Games. IEEE Trans. Games 14(1): 13-22 (2022) - 2021
- [j54]Farhoud Hosseinpour, Ahmad Naebi, Seppo Virtanen, Tapio Pahikkala, Hannu Tenhunen, Juha Plosila:
A Resource Management Model for Distributed Multi-Task Applications in Fog Computing Networks. IEEE Access 9: 152792-152802 (2021) - [j53]Tianduanyi Wang, Sándor Szedmák, Haishan Wang, Tero Aittokallio, Tapio Pahikkala, Anna Cichonska, Juho Rousu:
Modeling drug combination effects via latent tensor reconstruction. Bioinform. 37(Supplement): 93-101 (2021) - [j52]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) - [i15]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) - 2020
- [j51]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) - [j50]Golnaz Sahebi, Parisa Movahedi, Masoumeh Ebrahimi, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen:
GeFeS: A generalized wrapper feature selection approach for optimizing classification performance. Comput. Biol. Medicine 125: 103974 (2020) - [j49]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) - [j48]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) - [j47]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) - [c61]Markus Viljanen, Ajay Byanjankar, Tapio Pahikkala:
Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data. KES-IDT 2020: 15-25 - [c60]Markus Viljanen, Tapio Pahikkala:
Predicting Unemployment with Machine Learning Based on Registry Data. RCIS 2020: 352-368 - [i14]Sándor Szedmák, Anna Cichonska, Heli Julkunen, Tapio Pahikkala, Juho Rousu:
A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction. CoRR abs/2005.01538 (2020) - [i13]Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen:
Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation. CoRR abs/2005.14263 (2020) - [i12]Markus Viljanen, Antti Airola, Tapio Pahikkala:
Generalized vec trick for fast learning of pairwise kernel models. CoRR abs/2009.01054 (2020) - [i11]Markus Viljanen, Jukka Vahlo, Aki Koponen, Tapio Pahikkala:
Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting. CoRR abs/2009.08947 (2020) - [i10]Markus Viljanen, Tapio Pahikkala:
New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution. CoRR abs/2012.11480 (2020)
2010 – 2019
- 2019
- [j46]Henri Tenhunen, Tapio Pahikkala, Olli Nevalainen, Jukka Teuhola, Heta Mattila, Esa Tyystjärvi:
Automatic detection of cereal rows by means of pattern recognition techniques. Comput. Electron. Agric. 162: 677-688 (2019) - [j45]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) - [j44]Iman Azimi, Tapio Pahikkala, Amir M. Rahmani, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg:
Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health. Future Gener. Comput. Syst. 96: 297-308 (2019) - [j43]Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen:
Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model. IEEE Trans. Cloud Comput. 7(2): 524-536 (2019) - [c59]Riikka Numminen, Markus Viljanen, Tapio Pahikkala:
Predicting the monetization percentage with survival analysis in free-to-play games. CoG 2019: 1-8 - [c58]Elise Syrjälä, Mingzhe Jiang, Tapio Pahikkala, Sanna Salanterä, Pasi Liljeberg:
Skin Conductance Response to Gradual-Increasing Experimental Pain. EMBC 2019: 3482-3485 - 2018
- [j42]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) - [j41]Aki Koivu, Teemu Korpimäki, Petri Kivelä, Tapio Pahikkala, Mikko Sairanen:
Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome. Comput. Biol. Medicine 98: 1-7 (2018) - [j40]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) - [j39]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
Playtime Measurement With Survival Analysis. IEEE Trans. Games 10(2): 128-138 (2018) - [j38]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
- [j37]Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen:
Estimating the prediction performance of spatial models via spatial k-fold cross validation. Int. J. Geogr. Inf. Sci. 31(10): 2001-2019 (2017) - [j36]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) - [j35]Paavo Nevalainen, Aura Salmivaara, Jari Ala-Ilomäki, Samuli Launiainen, Juuso Hiedanpää, Leena Finér, Tapio Pahikkala, Jukka Heikkonen:
Estimating the Rut Depth by UAV Photogrammetry. Remote. Sens. 9(12): 1279 (2017) - [j34]Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt:
HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT. ACM Trans. Embed. Comput. Syst. 16(5s): 174:1-174:20 (2017) - [c57]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
A/B-Test of Retention and Monetization Using the Cox Model. AIIDE 2017: 248-254 - [c56]Paavo Nevalainen, Ivan Jambor, Jonne Pohjankukka, Jukka Heikkonen, Tapio Pahikkala:
Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode. ICPRAM 2017: 684-692 - [i8]Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala:
Playtime Measurement with Survival Analysis. CoRR abs/1701.02359 (2017) - 2016
- [j33]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) - [j32]Tapio Pahikkala, Antti Airola:
RLScore: Regularized Least-Squares Learners. J. Mach. Learn. Res. 17: 221:1-221:5 (2016) - [j31]Paavo Nevalainen, Maarit Middleton, Raimo Sutinen, Jukka Heikkonen, Tapio Pahikkala:
Detecting Terrain Stoniness From Airborne Laser Scanning Data. Remote. Sens. 8(9): 720 (2016) - [c55]Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala:
Self-Adaptive Resource Management System in IaaS Clouds. CLOUD 2016: 553-560 - [c54]Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen:
Modelling user retention in mobile games. CIG 2016: 1-8 - [c53]Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen:
User activity decay in mobile games determined by simple differential equations? CIG 2016: 1-8 - [c52]Ileana Montoya Perez, Jussi Toivonen, Parisa Movahedi, Harri Merisaari, Marko Pesola, Pekka Taimen, Peter J. Boström, Aida Kiviniemi, Hannu J. Aronen, Tapio Pahikkala, Ivan Jambor:
Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions. IPTA 2016: 1-6 - [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
- [j30]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) - [j29]Tapio Pahikkala, Kim Kari, Heta Mattila, Anna Lepistö, Jukka Teuhola, Olli S. Nevalainen, Esa Tyystjärvi:
Classification of plant species from images of overlapping leaves. Comput. Electron. Agric. 118: 186-192 (2015) - [j28]Frans Vainio, Tapio Pahikkala, Mika Johnsson, Olli Nevalainen, Timo Knuutila:
Estimating the production time of a PCB assembly job without solving the optimised machine control. Int. J. Comput. Integr. Manuf. 28(8): 823-835 (2015) - [j27]Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen:
Using Ant Colony System to Consolidate VMs for Green Cloud Computing. IEEE Trans. Serv. Comput. 8(2): 187-198 (2015) - [c51]Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing. CLOUD 2015: 381-388 - [c50]Parisa Movahedi, Paavo Nevalainen, Markus Viljanen, Tapio Pahikkala:
Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems. ICPRAM (2) 2015: 264-269 - [c49]Thomas Canhao Xu, Jonne Pohjankukka, Paavo Nevalainen, Ville Leppänen, Tapio Pahikkala:
Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling. ICSOFT-EA 2015: 443-449 - [c48]Fabian Gieseke, Tapio Pahikkala, Tom Heskes:
Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering. IDA 2015: 95-107 - [c47]Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala:
Learning Low Cost Multi-target Models by Enforcing Sparsity. IEA/AIE 2015: 252-261 - [c46]Paavo Nevalainen, Maarit Middleton, Ilkka Kaate, Tapio Pahikkala, Raimo Sutinen, Jukka Heikkonen:
Detecting stony areas based on ground surface curvature distribution. IPTA 2015: 581-587 - [c45]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 - [c44]Shima Soroushnia, Masoud Daneshtalab, Tapio Pahikkala, Juha Plosila:
Parallel Implementation of Fuzzified Pattern Matching Algorithm on GPU. PDP 2015: 341-344 - [i5]Tapio Pahikkala, Markus Viljanen, Antti Airola, Willem Waegeman:
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels. CoRR abs/1506.05950 (2015) - 2014
- [j26]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) - [j25]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) - [j24]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) - [j23]Shima Soroushnia, Masoud Daneshtalab, Juha Plosila, Tapio Pahikkala, Pasi Liljeberg:
High Performance Pattern Matching on Heterogeneous Platform. J. Integr. Bioinform. 11(3) (2014) - [j22]Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala:
Multi-label learning under feature extraction budgets. Pattern Recognit. Lett. 40: 56-65 (2014) - [j21]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) - [c43]Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen:
Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System. IEEE CLOUD 2014: 104-111 - [c42]Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila:
Hierarchical Agent-Based Architecture for Resource Management in Cloud Data Centers. IEEE CLOUD 2014: 928-929 - [c41]Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen:
Hierarchical VM Management Architecture for Cloud Data Centers. CloudCom 2014: 306-311 - [c40]Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Multi-agent Based Architecture for Dynamic VM Consolidation in Cloud Data Centers. EUROMICRO-SEAA 2014: 111-118 - [c39]Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Pekka Hänninen, Eija Hyvönen, Raimo Sutinen, Jukka Heikkonen:
Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data. ICPR 2014: 1822-1827 - [c38]Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Eija Hyvönen, Pekka Hänninen, Raimo Sutinen, Jari Ala-Ilomäki, Jukka Heikkonen:
Predicting Water Permeability of the Soil Based on Open Data. AIAI 2014: 436-446 - [c37]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 - [c36]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 - [c35]Tapio Pahikkala:
Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels. S+SSPR 2014: 123-132 - [c34]Juho Heimonen, Tapio Salakoski, Tapio Pahikkala:
Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data. S+SSPR 2014: 384-393 - [c33]Thomas Canhao Xu, Jussi Toivonen, Tapio Pahikkala, Ville Leppänen:
BDMap: A Heuristic Application Mapping Algorithm for the Big Data Era. UIC/ATC/ScalCom 2014: 821-828 - [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
- [j20]Sebastian Okser, Tapio Pahikkala, Tero Aittokallio:
Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives. BioData Min. 6: 5 (2013) - [j19]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) - [c32]Fabian Gieseke, Tapio Pahikkala, Christian Igel:
Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification. ACML 2013: 62-71 - [c31]Thomas Canhao Xu, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen:
Optimized multicore architectures for data parallel fast Fourier transform. CompSysTech 2013: 75-82 - [c30]Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila:
Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers. UCC 2013: 256-259 - 2012
- [j18]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) - [j17]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) - [j16]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) - [j15]Tapio Pahikkala, Hanna Suominen, Jorma Boberg:
Efficient cross-validation for kernelized least-squares regression with sparse basis expansions. Mach. Learn. 87(3): 381-407 (2012) - [j14]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) - [c29]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 - [c28]Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer:
Unsupervised Multi-class Regularized Least-Squares Classification. ICDM 2012: 585-594 - [c27]Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer:
Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. ICPRAM (1) 2012: 45-54 - [c26]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
- [j13]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) - [j12]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) - [j11]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) - [j10]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) - [c25]Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets:
Learning Valued Relations from Data. Eurofuse 2011: 257-268 - [c24]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 - [c23]Antti Airola, Tapio Pahikkala, Tapio Salakoski:
An Improved Training Algorithm for the Linear Ranking Support Vector Machine. ICANN (1) 2011: 134-141 - [c22]