Tapio Pahikkala

149 papers A* 2B 7C 9Misc 4Journal 82Unranked 42

Year	Rank	Type	Title / Venue / Authors
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	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`	A comparison of embedding aggregation strategies in drug-target interaction prediction. BMC Bioinform. Dimitrios Iliadis, Bernard De Baets, Tapio Pahikkala, Willem Waegeman
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
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	—	`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	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	J	`jnl`	Bayesian Inference for Predicting the Monetization Percentage in Free-to-Play Games. IEEE Trans. Games Riikka Numminen, Markus Juhani Viljanen, Tapio Pahikkala
2022	J	`jnl`	Generalized vec trick for fast learning of pairwise kernel models. Mach. Learn. Markus Viljanen, Antti Airola, Tapio Pahikkala
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`	A Resource Management Model for Distributed Multi-Task Applications in Fog Computing Networks. IEEE Access Farhoud Hosseinpour, Ahmad Naebi, Seppo Virtanen, Tapio Pahikkala, Hannu Tenhunen, Juha Plosila
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	J	`jnl`	Modeling drug combination effects via latent tensor reconstruction. Bioinform. Tianduanyi Wang, Sándor Szedmák, Haishan Wang, Tero Aittokallio, Tapio Pahikkala, Anna Cichonska, Juho Rousu
2020	J	`jnl`	A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction. CoRR Sándor Szedmák, Anna Cichonska, Heli Julkunen, Tapio Pahikkala, Juho Rousu
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`	Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting. CoRR Markus Viljanen, Jukka Vahlo, Aki Koponen, Tapio Pahikkala
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`	Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation. CoRR Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen
2020	J	`jnl`	GeFeS: A generalized wrapper feature selection approach for optimizing classification performance. Comput. Biol. Medicine Golnaz Sahebi, Parisa Movahedi, Masoumeh Ebrahimi, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen
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	J	`jnl`	New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution. CoRR Markus Viljanen, Tapio Pahikkala
2020	—	`conf`	Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data. KES-IDT Markus Viljanen, Ajay Byanjankar, Tapio Pahikkala
2020	B	`conf`	Predicting Unemployment with Machine Learning Based on Registry Data. RCIS Markus Viljanen, Tapio Pahikkala
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`	Automatic detection of cereal rows by means of pattern recognition techniques. Comput. Electron. Agric. Henri Tenhunen, Tapio Pahikkala, Olli Nevalainen, Jukka Teuhola, Heta Mattila, Esa Tyystjärvi
2019	J	`jnl`	Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model. IEEE Trans. Cloud Comput. Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen
2019	J	`jnl`	Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health. Future Gener. Comput. Syst. Iman Azimi, Tapio Pahikkala, Amir M. Rahmani, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg
2019	C	`conf`	Predicting the monetization percentage with survival analysis in free-to-play games. CoG Riikka Numminen, Markus Viljanen, Tapio Pahikkala
2019	—	`conf`	Skin Conductance Response to Gradual-Increasing Experimental Pain. EMBC Elise Syrjälä, Mingzhe Jiang, Tapio Pahikkala, Sanna Salanterä, Pasi Liljeberg
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`	Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome. Comput. Biol. Medicine Aki Koivu, Teemu Korpimäki, Petri Kivelä, Tapio Pahikkala, Mikko Sairanen
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`	Estimating the Rut Depth by UAV Photogrammetry. Remote. Sens. Paavo Nevalainen, Aura Salmivaara, Jari Ala-Ilomäki, Samuli Launiainen, Juuso Hiedanpää, Leena Finér, Tapio Pahikkala, Jukka Heikkonen
2017	J	`jnl`	Estimating the prediction performance of spatial models via spatial k-fold cross validation. Int. J. Geogr. Inf. Sci. Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen
2017	J	`jnl`	HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT. ACM Trans. Embed. Comput. Syst. Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt
2017	J	`jnl`	Playtime Measurement with Survival Analysis. CoRR Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
2017	C	`conf`	Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode. ICPRAM Paavo Nevalainen, Ivan Jambor, Jonne Pohjankukka, 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`	Detecting Terrain Stoniness From Airborne Laser Scanning Data. Remote. Sens. Paavo Nevalainen, Maarit Middleton, Raimo Sutinen, Jukka Heikkonen, Tapio Pahikkala
2016	—	`conf`	Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions. IPTA 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
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	B	`conf`	Self-Adaptive Resource Management System in IaaS Clouds. CLOUD Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala
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	B	`conf`	Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering. IDA Fabian Gieseke, Tapio Pahikkala, Tom Heskes
2015	J	`jnl`	Classification of plant species from images of overlapping leaves. Comput. Electron. Agric. Tapio Pahikkala, Kim Kari, Heta Mattila, Anna Lepistö, Jukka Teuhola, Olli S. Nevalainen, Esa Tyystjärvi
2015	—	`conf`	Detecting stony areas based on ground surface curvature distribution. IPTA Paavo Nevalainen, Maarit Middleton, Ilkka Kaate, Tapio Pahikkala, Raimo Sutinen, Jukka Heikkonen
2015	J	`jnl`	Estimating the production time of a PCB assembly job without solving the optimised machine control. Int. J. Comput. Integr. Manuf. Frans Vainio, Tapio Pahikkala, Mika Johnsson, Olli Nevalainen, Timo Knuutila
2015	—	`conf`	Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems. ICPRAM (2) Parisa Movahedi, Paavo Nevalainen, Markus Viljanen, Tapio Pahikkala
2015	C	`conf`	Learning Low Cost Multi-target Models by Enforcing Sparsity. IEA/AIE Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala
2015	—	`conf`	Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling. ICSOFT-EA Thomas Canhao Xu, Jonne Pohjankukka, Paavo Nevalainen, Ville Leppänen, Tapio Pahikkala
2015	C	`conf`	Parallel Implementation of Fuzzified Pattern Matching Algorithm on GPU. PDP Shima Soroushnia, Masoud Daneshtalab, Tapio Pahikkala, Juha Plosila
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
2015	J	`jnl`	Using Ant Colony System to Consolidate VMs for Green Cloud Computing. IEEE Trans. Serv. Comput. Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen
2015	B	`conf`	Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing. CLOUD Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
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	B	`conf`	Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data. ICPR Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Pekka Hänninen, Eija Hyvönen, Raimo Sutinen, Jukka Heikkonen
2014	—	`conf`	BDMap: A Heuristic Application Mapping Algorithm for the Big Data Era. UIC/ATC/ScalCom Thomas Canhao Xu, Jussi Toivonen, Tapio Pahikkala, Ville Leppänen
2014	—	`conf`	Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System. IEEE CLOUD Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen
2014	—	`conf`	Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels. S+SSPR Tapio Pahikkala
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	—	`conf`	Hierarchical Agent-Based Architecture for Resource Management in Cloud Data Centers. IEEE CLOUD Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
2014	C	`conf`	Hierarchical VM Management Architecture for Cloud Data Centers. CloudCom Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen
2014	J	`jnl`	High Performance Pattern Matching on Heterogeneous Platform. J. Integr. Bioinform. Shima Soroushnia, Masoud Daneshtalab, Juha Plosila, Tapio Pahikkala, Pasi Liljeberg
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	—	`conf`	Multi-agent Based Architecture for Dynamic VM Consolidation in Cloud Data Centers. EUROMICRO-SEAA Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
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	Misc	`conf`	Predicting Water Permeability of the Soil Based on Open Data. AIAI Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Eija Hyvönen, Pekka Hänninen, Raimo Sutinen, Jari Ala-Ilomäki, Jukka Heikkonen
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	—	`conf`	Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data. S+SSPR Juho Heimonen, Tapio Salakoski, Tapio Pahikkala
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
2013	Misc	`conf`	Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers. UCC Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
2013	J	`jnl`	Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives. BioData Min. Sebastian Okser, Tapio Pahikkala, Tero Aittokallio
2013	—	`conf`	Optimized multicore architectures for data parallel fast Fourier transform. CompSysTech Thomas Canhao Xu, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
2013	C	`conf`	Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification. ACML Fabian Gieseke, Tapio Pahikkala, Christian Igel
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 cross-validation for kernelized least-squares regression with sparse basis expansions. Mach. Learn. Tapio Pahikkala, Hanna Suominen, Jorma Boberg
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	—	`ch.`	Co-Regularized Least-Squares for Label Ranking. Preference Learning Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, Tom Heskes
2010	—	`conf`	Conditional Ranking on Relational Data. ECML/PKDD (2) Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets
2010	J	`jnl`	Learning intransitive reciprocal relations with kernel methods. Eur. J. Oper. Res. Tapio Pahikkala, Willem Waegeman, Evgeni Tsivtsivadze, 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`	Efficient Hold-Out for Subset of Regressors. ICANNGA Tapio Pahikkala, Hanna Suominen, Jorma Boberg, Tapio Salakoski
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
2009	A*	`conf`	Fast evolutionary maximum margin clustering. ICML Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
2009	J	`jnl`	Locality kernels for sequential data and their applications to parse ranking. Appl. Intell. Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski
2009	J	`jnl`	Matrix representations, linear transformations, and kernels for disambiguation in natural language. Mach. Learn. Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Jouni Järvinen, 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	—	`conf`	Efficient AUC Maximization with Regularized Least-Squares. SCAI Tapio Pahikkala, Antti Airola, Hanna Suominen, Jorma Boberg, Tapio Salakoski
2008	—	`ch.`	Kernels for Text Analysis. Advances of Computational Intelligence in Industrial Systems Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski
2007	J	`jnl`	Inspiratory flow shape clustering: An automated method to monitor upper airway performance during sleep. Comput. Methods Programs Biomed. Tero Aittokallio, Jani S. Malminen, Tapio Pahikkala, Olli Polo, Olli Nevalainen
2007	J	`jnl`	Towards automated classification of intensive care nursing narratives. Int. J. Medical Informatics Marketta Hiissa, Tapio Pahikkala, Hanna Suominen, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Sanna Salanterä, Tapio Salakoski
2006	—	`ed.`	Advances in Natural Language Processing, 5th International Conference on NLP, FinTAL 2006, Turku, Finland, August 23-25, 2006, Proceedings FinTAL Tapio Salakoski, Filip Ginter, Sampo Pyysalo, Tapio Pahikkala
2006	J	`jnl`	Evaluation of two dependency parsers on biomedical corpus targeted at protein-protein interactions. Int. J. Medical Informatics Sampo Pyysalo, Filip Ginter, Tapio Pahikkala, Jorma Boberg, Jouni Järvinen, Tapio Salakoski
2006	—	`conf`	Incorporating External Information in Bayesian Classifiers Via Linear Feature Transformations. FinTAL Tapio Pahikkala, Jorma Boberg, Aleksandr Mylläri, Tapio Salakoski
2006	C	`conf`	Locality-Convolution Kernel and Its Application to Dependency Parse Ranking. IEA/AIE Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski
2006	—	`conf`	Relevance Ranking of Intensive Care Nursing Narratives. KES (1) Hanna Suominen, Tapio Pahikkala, Marketta Hiissa, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Sanna Salanterä, Tapio Salakoski
2006	—	`conf`	Towards Automated Classification of Intensive Care Nursing Narratives. MIE Marketta Hiissa, Tapio Pahikkala, Hanna Suominen, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Sanna Salanterä, Tapio Salakoski
2005	J	`jnl`	Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation. BMC Bioinform. Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni Järvinen, Tapio Salakoski
2005	Misc	`conf`	Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks. FLAIRS Tapio Pahikkala, Sampo Pyysalo, Filip Ginter, Jorma Boberg, Jouni Järvinen, Tapio Salakoski
2005	B	`conf`	Regularized Least-Squares for Parse Ranking. IDA Evgeni Tsivtsivadze, Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Aleksandr Mylläri, Tapio Salakoski
2004	—	`conf`	Analysis of Link Grammar on Biomedical Dependency Corpus Targeted at Protein-Protein Interactions. NLPBA/BioNLP Sampo Pyysalo, Filip Ginter, Tapio Pahikkala, Jorma Boberg, Jouni Järvinen, Tapio Salakoski, Jeppe Koivula
2004	—	`conf`	Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis. Rough Sets and Current Trends in Computing Filip Ginter, Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Jouni Järvinen, Tapio Salakoski