Tapio Pahikkala

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 52

Top Venues

CoRR

Comput. Biol. Medicine

IEEE Trans. Games

Bioinform.

Publications

Ileana Montoya Perez, Parisa Movahedi, Valtteri Nieminen, Antti Airola, Tapio Pahikkala
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? CoRR (2024)
Dimitrios Iliadis, Bernard De Baets, Tapio Pahikkala, Willem Waegeman
A comparison of embedding aggregation strategies in drug-target interaction prediction. BMC Bioinform. 25 (1) (2024)
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) (2023)
Valtteri Nieminen, Tapio Pahikkala, Antti Airola
Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data. TKTP (2023)
Parisa Movahedi, Valtteri Nieminen, Ileana Montoya Perez, Tapio Pahikkala, Antti Airola
Evaluating Classifiers Trained on Differentially Private Synthetic Health Data. CBMS (2023)
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) (2023)
Markus Viljanen, Antti Airola, Tapio Pahikkala
Generalized vec trick for fast learning of pairwise kernel models. Mach. Learn. 111 (2) (2022)
Riikka Numminen, Markus Juhani Viljanen, Tapio Pahikkala
Bayesian Inference for Predicting the Monetization Percentage in Free-to-Play Games. IEEE Trans. Games 14 (1) (2022)
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 (2021)
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 (2021)
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 (2021)
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) (2021)
Markus Viljanen, Tapio Pahikkala
New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution. CoRR (2020)
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) (2020)
Markus Viljanen, Jukka Vahlo, Aki Koponen, Tapio Pahikkala
Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting. CoRR (2020)
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 (2020)
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)
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) (2020)
Markus Viljanen, Tapio Pahikkala
Predicting Unemployment with Machine Learning Based on Registry Data. RCIS (2020)
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) (2020)
Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen
Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation. CoRR (2020)
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 (2020)
Markus Viljanen, Ajay Byanjankar, Tapio Pahikkala
Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data. KES-IDT (2020)
Markus Viljanen, Antti Airola, Tapio Pahikkala
Generalized vec trick for fast learning of pairwise kernel models. CoRR (2020)
Elise Syrjälä, Mingzhe Jiang, Tapio Pahikkala, Sanna Salanterä, Pasi Liljeberg
Skin Conductance Response to Gradual-Increasing Experimental Pain. EMBC (2019)
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) (2019)
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) (2019)
Riikka Numminen, Markus Viljanen, Tapio Pahikkala
Predicting the monetization percentage with survival analysis in free-to-play games. CoG (2019)
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 (2019)
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 (2019)
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) (2018)
Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression. CoRR (2018)
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 (2018)
Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
Playtime Measurement With Survival Analysis. IEEE Trans. Games 10 (2) (2018)
Antti Airola, Tapio Pahikkala
Fast Kronecker Product Kernel Methods via Generalized Vec Trick. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
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)
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) (2017)
Paavo Nevalainen, Ivan Jambor, Jonne Pohjankukka, Jukka Heikkonen, Tapio Pahikkala
Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode. ICPRAM (2017)
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) (2017)
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)
Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
A/B-Test of Retention and Monetization Using the Cox Model. AIIDE (2017)
Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala
Playtime Measurement with Survival Analysis. CoRR (2017)
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) (2017)
Tapio Pahikkala, Antti Airola
RLScore: Regularized Least-Squares Learners. J. Mach. Learn. Res. 17 (2016)
Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
Modelling user retention in mobile games. CIG (2016)
Paavo Nevalainen, Maarit Middleton, Raimo Sutinen, Jukka Heikkonen, Tapio Pahikkala
Detecting Terrain Stoniness From Airborne Laser Scanning Data. Remote. Sens. 8 (9) (2016)
Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen
User activity decay in mobile games determined by simple differential equations? CIG (2016)
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 (2016)
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)
Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method. CoRR (2016)
Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala
Self-Adaptive Resource Management System in IaaS Clouds. CLOUD (2016)
Antti Airola, Tapio Pahikkala
Fast Kronecker product kernel methods via sampled vec trick. CoRR (2016)
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) (2015)
Tapio Pahikkala, Markus Viljanen, Antti Airola, Willem Waegeman
Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels. CoRR (2015)
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 (2015)
Shima Soroushnia, Masoud Daneshtalab, Tapio Pahikkala, Juha Plosila
Parallel Implementation of Fuzzified Pattern Matching Algorithm on GPU. PDP (2015)
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)
Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala
Learning Low Cost Multi-target Models by Enforcing Sparsity. IEA/AIE (2015)
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)
Paavo Nevalainen, Maarit Middleton, Ilkka Kaate, Tapio Pahikkala, Raimo Sutinen, Jukka Heikkonen
Detecting stony areas based on ground surface curvature distribution. IPTA (2015)
Parisa Movahedi, Paavo Nevalainen, Markus Viljanen, Tapio Pahikkala
Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems. ICPRAM (2) (2015)
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) (2015)
Fabian Gieseke, Tapio Pahikkala, Tom Heskes
Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering. IDA (2015)
Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio
Toward more realistic drug-target interaction predictions. Briefings Bioinform. 16 (2) (2015)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing. CLOUD (2015)
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)
Thomas Canhao Xu, Jussi Toivonen, Tapio Pahikkala, Ville Leppänen
BDMap: A Heuristic Application Mapping Algorithm for the Big Data Era. UIC/ATC/ScalCom (2014)
Tapio Pahikkala
Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels. S+SSPR (2014)
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) (2014)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
Hierarchical Agent-Based Architecture for Resource Management in Cloud Data Centers. IEEE CLOUD (2014)
Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala
Multi-label learning under feature extraction budgets. Pattern Recognit. Lett. 40 (2014)
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)
Juho Heimonen, Tapio Salakoski, Tapio Pahikkala
Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data. S+SSPR (2014)
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)
Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen
Hierarchical VM Management Architecture for Cloud Data Centers. CloudCom (2014)
Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer
On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers. J. Comput. Sci. Technol. 29 (1) (2014)
Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer
Fast and simple gradient-based optimization for semi-supervised support vector machines. Neurocomputing 123 (2014)
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 (2014)
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)
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 (2014)
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 (2014)
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)
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)
Shima Soroushnia, Masoud Daneshtalab, Juha Plosila, Tapio Pahikkala, Pasi Liljeberg
High Performance Pattern Matching on Heterogeneous Platform. J. Integr. Bioinform. 11 (3) (2014)
Fabian Gieseke, Tapio Pahikkala, Christian Igel
Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification. ACML (2013)
Thomas Canhao Xu, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen
Optimized multicore architectures for data parallel fast Fourier transform. CompSysTech (2013)
Sebastian Okser, Tapio Pahikkala, Tero Aittokallio
Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives. BioData Min. 6 (2013)
Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila
Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers. UCC (2013)
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) (2013)
Tapio Pahikkala, Hanna Suominen, Jorma Boberg
Efficient cross-validation for kernelized least-squares regression with sparse basis expansions. Mach. Learn. 87 (3) (2012)
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) (2012)
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 (2012)
Sebastian Okser, Antti Airola, Tero Aittokallio, Tapio Salakoski, Tapio Pahikkala
Parallel Feature Selection for Regularized Least-Squares. PARA (2012)
Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer
Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. ICPRAM (1) (2012)
Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data CoRR (2012)
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)
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) (2012)
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) (2012)
Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer
Unsupervised Multi-class Regularized Least-Squares Classification. ICDM (2012)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tapio Pahikkala