Tapio Pahikkala

According to our database, Tapio Pahikkala authored at least 131 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A comparison of embedding aggregation strategies in drug-target interaction prediction.

Dimitrios Iliadis, Bernard De Baets, Tapio Pahikkala, Willem Waegeman

BMC Bioinform., December, 2024

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?

Ileana Montoya Perez, Parisa Movahedi, Valtteri Nieminen, Antti Airola, Tapio Pahikkala

CoRR, 2024

2023

Quicksort leave-pair-out cross-validation for ROC curve analysis.

Riikka Numminen, Ileana Montoya Perez, Ivan Jambor, Tapio Pahikkala, Antti Airola

Comput. Stat., September, 2023

Budget-Based Classification of Parkinson's Disease From Resting State EEG.

Ilkka Suuronen, Antti Airola, Tapio Pahikkala, Mika Murtojärvi, Valtteri Kaasinen, Henry Railo

IEEE J. Biomed. Health Informatics, August, 2023

Empirical Evaluation of Amplifying Privacy by Subsampling for GANs to Create Differentially Private Synthetic Tabular Data.

Valtteri Nieminen, Tapio Pahikkala, Antti Airola

Proceedings of the Annual Symposium of Computer Science 2023 co-located with The International Conference on Evaluation and Assessment in Software Engineering (EASE 2023), 2023

Evaluating Classifiers Trained on Differentially Private Synthetic Health Data.

Parisa Movahedi, Valtteri Nieminen, Ileana Montoya Perez, Tapio Pahikkala, Antti Airola

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Bayesian Inference for Predicting the Monetization Percentage in Free-to-Play Games.

Riikka Numminen, Markus Juhani Viljanen, Tapio Pahikkala

IEEE Trans. Games, 2022

Generalized vec trick for fast learning of pairwise kernel models.

Markus Viljanen, Antti Airola, Tapio Pahikkala

Mach. Learn., 2022

2021

A Link between Coding Theory and Cross-Validation with Applications.

Tapio Pahikkala, Parisa Movahedi, Ileana Montoya Perez, Havu Miikonen, Ivan Jambor, Antti Airola, László Major

CoRR, 2021

Adaptive risk prediction system with incremental and transfer learning.

Aki Koivu, Mikko Sairanen, Antti Airola, Tapio Pahikkala, Wing-cheong Leung, Tsz-kin Lo, Daljit Singh Sahota

Comput. Biol. Medicine, 2021

Modeling drug combination effects via latent tensor reconstruction.

Tianduanyi Wang, Sándor Szedmák, Haishan Wang, Tero Aittokallio, Tapio Pahikkala, Anna Cichonska, Juho Rousu

Bioinform., 2021

A Resource Management Model for Distributed Multi-Task Applications in Fog Computing Networks.

Farhoud Hosseinpour, Ahmad Naebi, Seppo Virtanen, Tapio Pahikkala, Hannu Tenhunen, Juha Plosila

IEEE Access, 2021

2020

Measuring Player Retention and Monetization Using the Mean Cumulative Function.

Markus Viljanen, Antti Airola, Anne-Maarit Majanoja, Jukka Heikkonen, Tapio Pahikkala

IEEE Trans. Games, 2020

Synthetic minority oversampling of vital statistics data with generative adversarial networks.

Aki Koivu, Mikko Sairanen, Antti Airola, Tapio Pahikkala

J. Am. Medical Informatics Assoc., 2020

Cost-effective survival prediction for patients with advanced prostate cancer using clinical trial and real-world hospital registry datasets.

Mika Murtojärvi, Anni S. Halkola, Antti Airola, Teemu D. Laajala, Tuomas Mirtti, Tero Aittokallio, Tapio Pahikkala

Int. J. Medical Informatics, 2020

New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution.

Markus Viljanen, Tapio Pahikkala

CoRR, 2020

Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting.

Markus Viljanen, Jukka Vahlo, Aki Koponen, Tapio Pahikkala

CoRR, 2020

A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction.

Sándor Szedmák, Anna Cichonska, Heli Julkunen, Tapio Pahikkala, Juho Rousu

CoRR, 2020

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance.

Golnaz Sahebi, Parisa Movahedi, Masoumeh Ebrahimi, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen

Comput. Biol. Medicine, 2020

Algebraic shortcuts for leave-one-out cross-validation in supervised network inference.

Michiel Stock, Tapio Pahikkala, Antti Airola, Willem Waegeman, Bernard De Baets

Briefings Bioinform., 2020

Predicting Unemployment with Machine Learning Based on Registry Data.

Markus Viljanen, Tapio Pahikkala

Proceedings of the Research Challenges in Information Science, 2020

Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data.

Markus Viljanen, Ajay Byanjankar, Tapio Pahikkala

Proceedings of the Intelligent Decision Technologies, 2020

2019

Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model.

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Nguyen Trung Hieu, Hannu Tenhunen

IEEE Trans. Cloud Comput., 2019

Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health.

Iman Azimi, Tapio Pahikkala, Amir M. Rahmani, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg

Future Gener. Comput. Syst., 2019

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers.

Antti Airola, Jonne Pohjankukka, Johanna Torppa, Maarit Middleton, Vesa Nykänen, Jukka Heikkonen, Tapio Pahikkala

Data Min. Knowl. Discov., 2019

Automatic detection of cereal rows by means of pattern recognition techniques.

Henri Tenhunen, Tapio Pahikkala, Olli Nevalainen, Jukka Teuhola, Heta Mattila, Esa Tyystjärvi

Comput. Electron. Agric., 2019

Skin Conductance Response to Gradual-Increasing Experimental Pain.

Elise Syrjälä, Mingzhe Jiang, Tapio Pahikkala, Sanna Salanterä, Pasi Liljeberg

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Predicting the monetization percentage with survival analysis in free-to-play games.

Riikka Numminen, Markus Viljanen, Tapio Pahikkala

Proceedings of the IEEE Conference on Games, 2019

2018

Fast Kronecker Product Kernel Methods via Generalized Vec Trick.

Antti Airola, Tapio Pahikkala

IEEE Trans. Neural Networks Learn. Syst., 2018

Playtime Measurement With Survival Analysis.

Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala

IEEE Trans. Games, 2018

A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression.

Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman

Neural Comput., 2018

Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome.

Aki Koivu, Teemu Korpimäki, Petri Kivelä, Tapio Pahikkala, Mikko Sairanen

Comput. Biol. Medicine, 2018

Learning with multiple pairwise kernels for drug bioactivity prediction.

Anna Cichonska, Tapio Pahikkala, Sándor Szedmák, Heli Julkunen, Antti Airola, Markus Heinonen, Tero Aittokallio, Juho Rousu

Bioinform., 2018

2017

HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT.

Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt

ACM Trans. Embed. Comput. Syst., 2017

Estimating the Rut Depth by UAV Photogrammetry.

Paavo Nevalainen, Aura Salmivaara, Jari Ala-Ilomäki, Samuli Launiainen, Juuso Hiedanpää, Leena Finér, Tapio Pahikkala, Jukka Heikkonen

Remote. Sens., 2017

Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors.

Anna Cichonska, Balaguru Ravikumar, Elina Parri, Sanna Timonen, Tapio Pahikkala, Antti Airola, Krister Wennerberg, Juho Rousu, Tero Aittokallio

PLoS Comput. Biol., 2017

Estimating the prediction performance of spatial models via spatial k-fold cross validation.

Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen, Jukka Heikkonen

Int. J. Geogr. Inf. Sci., 2017

Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode.

Paavo Nevalainen, Ivan Jambor, Jonne Pohjankukka, Jukka Heikkonen, Tapio Pahikkala

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

A/B-Test of Retention and Monetization Using the Cox Model.

Markus Viljanen, Antti Airola, Jukka Heikkonen, Tapio Pahikkala

Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

2016

Detecting Terrain Stoniness From Airborne Laser Scanning Data.

Paavo Nevalainen, Maarit Middleton, Raimo Sutinen, Jukka Heikkonen, Tapio Pahikkala

Remote. Sens., 2016

RLScore: Regularized Least-Squares Learners.

Tapio Pahikkala, Antti Airola

J. Mach. Learn. Res., 2016

Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method.

Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman

CoRR, 2016

Fast Kronecker product kernel methods via sampled vec trick.

Antti Airola, Tapio Pahikkala

CoRR, 2016

Comparison of automatic summarisation methods for clinical free text notes.

Hans Moen, Laura-Maria Peltonen, Juho Heimonen, Antti Airola, Tapio Pahikkala, Tapio Salakoski, Sanna Salanterä

Artif. Intell. Medicine, 2016

Diffusion weighted imaging of prostate cancer: Prediction of cancer using texture features from parametric maps of the monoexponential and kurtosis functions.

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

Proceedings of the Sixth International Conference on Image Processing Theory, 2016

User activity decay in mobile games determined by simple differential equations?

Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Modelling user retention in mobile games.

Markus Viljanen, Antti Airola, Tapio Pahikkala, Jukka Heikkonen

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Self-Adaptive Resource Management System in IaaS Clouds.

Fahimeh Farahnakian, Rami Bahsoon, Pasi Liljeberg, Tapio Pahikkala

Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015

Using Ant Colony System to Consolidate VMs for Green Cloud Computing.

Fahimeh Farahnakian, Adnan Ashraf, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Ivan Porres, Hannu Tenhunen

IEEE Trans. Serv. Comput., 2015

Estimating the production time of a PCB assembly job without solving the optimised machine control.

Frans Vainio, Tapio Pahikkala, Mika Johnsson, Olli Nevalainen, Timo Knuutila

Int. J. Comput. Integr. Manuf., 2015

Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels.

Tapio Pahikkala, Markus Viljanen, Antti Airola, Willem Waegeman

CoRR, 2015

Classification of plant species from images of overlapping leaves.

Tapio Pahikkala, Kim Kari, Heta Mattila, Anna Lepistö, Jukka Teuhola, Olli S. Nevalainen, Esa Tyystjärvi

Comput. Electron. Agric., 2015

Toward more realistic drug-target interaction predictions.

Tapio Pahikkala, Antti Airola, Sami Pietilä, Sushil Kumar Shakyawar, Agnieszka Szwajda, Jing Tang, Tero Aittokallio

Briefings Bioinform., 2015

Parallel Implementation of Fuzzified Pattern Matching Algorithm on GPU.

Shima Soroushnia, Masoud Daneshtalab, Tapio Pahikkala, Juha Plosila

Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips.

Mohammad Fattah, Antti Airola, Rachata Ausavarungnirun, Nima Mirzaei, Pasi Liljeberg, Juha Plosila, Siamak Mohammadi, Tapio Pahikkala, Onur Mutlu, Hannu Tenhunen

Proceedings of the 9th International Symposium on Networks-on-Chip, 2015

Detecting stony areas based on ground surface curvature distribution.

Paavo Nevalainen, Maarit Middleton, Ilkka Kaate, Tapio Pahikkala, Raimo Sutinen, Jukka Heikkonen

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Learning Low Cost Multi-target Models by Enforcing Sparsity.

Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala

Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering.

Fabian Gieseke, Tapio Pahikkala, Tom Heskes

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling.

Thomas Canhao Xu, Jonne Pohjankukka, Paavo Nevalainen, Ville Leppänen, Tapio Pahikkala

Proceedings of the ICSOFT-EA 2015, 2015

Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems.

Parisa Movahedi, Paavo Nevalainen, Markus Viljanen, Tapio Pahikkala

Proceedings of the ICPRAM 2015, 2015

Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing.

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

Identification of Functionally Related Enzymes by Learning-to-Rank Methods.

Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Multi-label learning under feature extraction budgets.

Pekka Naula, Antti Airola, Tapio Salakoski, Tapio Pahikkala

Pattern Recognit. Lett., 2014

High Performance Pattern Matching on Heterogeneous Platform.

Shima Soroushnia, Masoud Daneshtalab, Juha Plosila, Tapio Pahikkala, Pasi Liljeberg

J. Integr. Bioinform., 2014

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers.

Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer

J. Comput. Sci. Technol., 2014

Predicting patient acuity from electronic patient records.

Elina Kontio, Antti Airola, Tapio Pahikkala, Heljä Lundgrén-Laine, Kristiina Junttila, Heikki Korvenranta, Tapio Salakoski, Sanna Salanterä

J. Biomed. Informatics, 2014

Fast and simple gradient-based optimization for semi-supervised support vector machines.

Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer

Neurocomputing, 2014

BDMap: A Heuristic Application Mapping Algorithm for the Big Data Era.

Thomas Canhao Xu, Jussi Toivonen, Tapio Pahikkala, Ville Leppänen

Proceedings of the 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014

Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels.

Tapio Pahikkala

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data.

Juho Heimonen, Tapio Salakoski, Tapio Pahikkala

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction.

Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

On Evaluation of Automatically Generated Clinical Discharge Summaries.

Hans Moen, Juho Heimonen, Laura-Maria Murtola, Antti Airola, Tapio Pahikkala, Virpi Terävä, Riitta Danielsson-Ojala, Tapio Salakoski, Sanna Salanterä

Proceedings of the 2nd European Workshop on Practical Aspects of Health Informatics, 2014

Predicting Water Permeability of the Soil Based on Open Data.

Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Eija Hyvönen, Pekka Hänninen, Raimo Sutinen, Jari Ala-Ilomäki, Jukka Heikkonen

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data.

Jonne Pohjankukka, Paavo Nevalainen, Tapio Pahikkala, Pekka Hänninen, Eija Hyvönen, Raimo Sutinen, Jukka Heikkonen

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Multi-agent Based Architecture for Dynamic VM Consolidation in Cloud Data Centers.

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen

Proceedings of the 40th EUROMICRO Conference on Software Engineering and Advanced Applications, 2014

Hierarchical VM Management Architecture for Cloud Data Centers.

Fahimeh Farahnakian, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Hannu Tenhunen

Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

Hierarchical Agent-Based Architecture for Resource Management in Cloud Data Centers.

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System.

Fahimeh Farahnakian, Adnan Ashraf, Pasi Liljeberg, Tapio Pahikkala, Juha Plosila, Ivan Porres, Hannu Tenhunen

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013

Efficient regularized least-squares algorithms for conditional ranking on relational data.

Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman

Mach. Learn., 2013

Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives.

Sebastian Okser, Tapio Pahikkala, Tero Aittokallio

BioData Min., 2013

Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers.

Fahimeh Farahnakian, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila

Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013

Optimized multicore architectures for data parallel fast Fourier transform.

Thomas Canhao Xu, Tapio Pahikkala, Pasi Liljeberg, Juha Plosila, Hannu Tenhunen

Proceedings of the Computer Systems and Technologies, 2013

Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification.

Fabian Gieseke, Tapio Pahikkala, Christian Igel

Proceedings of the Asian Conference on Machine Learning, 2013

2012

A Kernel-Based Framework for Learning Graded Relations From Data.

Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets

IEEE Trans. Fuzzy Syst., 2012

Efficient cross-validation for kernelized least-squares regression with sparse basis expansions.

Tapio Pahikkala, Hanna Suominen, Jorma Boberg

Mach. Learn., 2012

Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems.

Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski

Int. J. Embed. Real Time Commun. Syst., 2012

Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification.

Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala

Evol. Intell., 2012

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations.

Tapio Pahikkala, Sebastian Okser, Antti Airola, Tapio Salakoski, Tero Aittokallio

Algorithms Mol. Biol., 2012

Parallel Feature Selection for Regularized Least-Squares.

Sebastian Okser, Antti Airola, Tero Aittokallio, Tapio Salakoski, Tapio Pahikkala

Proceedings of the Applied Parallel and Scientific Computing, 2012

Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines.

Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer

Proceedings of the ICPRAM 2012, 2012

Unsupervised Multi-class Regularized Least-Squares Classification.

Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Implementation and Analysis of Block Dense Matrix Decomposition on Network-on-Chips.

Thomas Canhao Xu, Tapio Pahikkala, Antti Airola, Pasi Liljeberg, Juha Plosila, Tapio Salakoski, Hannu Tenhunen

Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

2011

Training linear ranking SVMs in linearithmic time using red-black trees.

Antti Airola, Tapio Pahikkala, Tapio Salakoski

Pattern Recognit. Lett., 2011

On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix.

Antti Airola, Tapio Pahikkala, Tapio Salakoski

Neural Process. Lett., 2011

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve.

Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski

Comput. Stat. Data Anal., 2011

Extracting Contextualized Complex Biological Events with Rich Graph-Based Feature Sets.

Jari Björne, Juho Heimonen, Filip Ginter, Antti Airola, Tapio Pahikkala, Tapio Salakoski

Comput. Intell., 2011

Learning Multi-Label Predictors under Sparsity Budget.

Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski

Proceedings of the Eleventh Scandinavian Conference on Artificial Intelligence, 2011

A Parallel Online Regularized Least-squares Machine Learning Algorithm for Future Multi-core Processors.

Tapio Pahikkala, Antti Airola, Thomas Canhao Xu, Pasi Liljeberg, Hannu Tenhunen, Tapio Salakoski

Proceedings of the PECCS 2011, 2011

Speedy Local Search for Semi-Supervised Regularized Least-Squares.

Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala

Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Greedy Regularized Least-Squares for Multi-task Learning.

Pekka Naula, Tapio Pahikkala, Antti Airola, Tapio Salakoski

Proceedings of the Data Mining Workshops (ICDMW), 2011

An Improved Training Algorithm for the Linear Ranking Support Vector Machine.

Antti Airola, Tapio Pahikkala, Tapio Salakoski

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Fast and parallelized greedy forward selection of genetic variants in Genome-wide association studies.

Sebastian Okser, Tapio Pahikkala, Antti Airola, Tero Aittokallio, Tapio Salakoski

Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Learning Valued Relations from Data.

Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Bernard De Baets

Proceedings of the Eurofuse 2011, 2011

2010

A comparison of AUC estimators in small-sample studies.

Antti Airola, Tapio Pahikkala, Willem Waegeman, Bernard De Baets, Tapio Salakoski

Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

Learning intransitive reciprocal relations with kernel methods.

Tapio Pahikkala, Willem Waegeman, Evgeni Tsivtsivadze, Tapio Salakoski, Bernard De Baets

Eur. J. Oper. Res., 2010

Conditional Ranking on Relational Data.

Tapio Pahikkala, Willem Waegeman, Antti Airola, Tapio Salakoski, Bernard De Baets

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Speeding Up Greedy Forward Selection for Regularized Least-Squares.

Tapio Pahikkala, Antti Airola, Tapio Salakoski

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection.

Antti Airola, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Co-Regularized Least-Squares for Label Ranking.

Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski, Tom Heskes

Proceedings of the Preference Learning., 2010

2009

An efficient algorithm for learning to rank from preference graphs.

Tapio Pahikkala, Evgeni Tsivtsivadze, Antti Airola, Jouni Järvinen, Jorma Boberg

Mach. Learn., 2009

Matrix representations, linear transformations, and kernels for disambiguation in natural language.

Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Jouni Järvinen, Tapio Salakoski

Mach. Learn., 2009

Locality kernels for sequential data and their applications to parse ranking.

Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski

Appl. Intell., 2009

Fast evolutionary maximum margin clustering.

Fabian Gieseke, Tapio Pahikkala, Oliver Kramer

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Efficient Hold-Out for Subset of Regressors.

Tapio Pahikkala, Hanna Suominen, Jorma Boberg, Tapio Salakoski

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Extracting Complex Biological Events with Rich Graph-Based Feature Sets.

Jari Björne, Juho Heimonen, Filip Ginter, Antti Airola, Tapio Pahikkala, Tapio Salakoski

Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, BioNLP@HLT-NAACL 2009, 2009

2008

Kernels for Text Analysis.

Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski

Proceedings of the Advances of Computational Intelligence in Industrial Systems, 2008

All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning.

Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski

BMC Bioinform., 2008

A Sparse Regularized Least-Squares Preference Learning Algorithm.

Evgeni Tsivtsivadze, Tapio Pahikkala, Antti Airola, Jorma Boberg, Tapio Salakoski

Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

Efficient AUC Maximization with Regularized Least-Squares.

Tapio Pahikkala, Antti Airola, Hanna Suominen, Jorma Boberg, Tapio Salakoski

Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

A Graph Kernel for Protein-Protein Interaction Extraction.

Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski

Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008

2007

Towards automated classification of intensive care nursing narratives.

Marketta Hiissa, Tapio Pahikkala, Hanna Suominen, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Sanna Salanterä, Tapio Salakoski

Int. J. Medical Informatics, 2007

Inspiratory flow shape clustering: An automated method to monitor upper airway performance during sleep.

Tero Aittokallio, Jani S. Malminen, Tapio Pahikkala, Olli Polo, Olli Nevalainen

Comput. Methods Programs Biomed., 2007

2006

Evaluation of two dependency parsers on biomedical corpus targeted at protein-protein interactions.

Sampo Pyysalo, Filip Ginter, Tapio Pahikkala, Jorma Boberg, Jouni Järvinen, Tapio Salakoski

Int. J. Medical Informatics, 2006

Relevance Ranking of Intensive Care Nursing Narratives.

Hanna Suominen, Tapio Pahikkala, Marketta Hiissa, Tuija Lehtikunnas, Barbro Back, Helena Karsten, Sanna Salanterä, Tapio Salakoski

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Locality-Convolution Kernel and Its Application to Dependency Parse Ranking.

Evgeni Tsivtsivadze, Tapio Pahikkala, Jorma Boberg, Tapio Salakoski

Proceedings of the Advances in Applied Artificial Intelligence, 2006

Incorporating External Information in Bayesian Classifiers Via Linear Feature Transformations.

Tapio Pahikkala, Jorma Boberg, Aleksandr Mylläri, Tapio Salakoski

Proceedings of the Advances in Natural Language Processing, 2006

2005

Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation.

Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni Järvinen, Tapio Salakoski

BMC Bioinform., 2005

Regularized Least-Squares for Parse Ranking.

Evgeni Tsivtsivadze, Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Aleksandr Mylläri, Tapio Salakoski

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks.

Tapio Pahikkala, Sampo Pyysalo, Filip Ginter, Jorma Boberg, Jouni Järvinen, Tapio Salakoski

Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004

Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis.

Filip Ginter, Tapio Pahikkala, Sampo Pyysalo, Jorma Boberg, Jouni Järvinen, Tapio Salakoski

Proceedings of the Rough Sets and Current Trends in Computing, 2004

Analysis of Link Grammar on Biomedical Dependency Corpus Targeted at Protein-Protein Interactions.

Sampo Pyysalo, Filip Ginter, Tapio Pahikkala, Jorma Boberg, Jouni Järvinen, Tapio Salakoski, Jeppe Koivula

Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications, 2004