Tapio Pahikkala

According to our database1, Tapio Pahikkala authored at least 124 papers between 2004 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2021
A Link between Coding Theory and Cross-Validation with Applications.
CoRR, 2021

Adaptive risk prediction system with incremental and transfer learning.
Comput. Biol. Medicine, 2021

Modeling drug combination effects via latent tensor reconstruction.
Bioinform., 2021

A Resource Management Model for Distributed Multi-Task Applications in Fog Computing Networks.
IEEE Access, 2021

2020
Measuring Player Retention and Monetization Using the Mean Cumulative Function.
IEEE Trans. Games, 2020

Synthetic minority oversampling of vital statistics data with generative adversarial networks.
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.
Int. J. Medical Informatics, 2020

New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution.
CoRR, 2020

Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting.
CoRR, 2020

Generalized vec trick for fast learning of pairwise kernel models.
CoRR, 2020

A Solution for Large Scale Nonlinear Regression with High Rank and Degree at Constant Memory Complexity via Latent Tensor Reconstruction.
CoRR, 2020

GeFeS: A generalized wrapper feature selection approach for optimizing classification performance.
Comput. Biol. Medicine, 2020

Algebraic shortcuts for leave-one-out cross-validation in supervised network inference.
Briefings Bioinform., 2020

Predicting Unemployment with Machine Learning Based on Registry Data.
Proceedings of the Research Challenges in Information Science, 2020

Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data.
Proceedings of the Intelligent Decision Technologies, 2020

2019
Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model.
IEEE Trans. Cloud Comput., 2019

Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health.
Future Gener. Comput. Syst., 2019

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers.
Data Min. Knowl. Discov., 2019

Automatic detection of cereal rows by means of pattern recognition techniques.
Comput. Electron. Agric., 2019

Skin Conductance Response to Gradual-Increasing Experimental Pain.
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.
Proceedings of the IEEE Conference on Games, 2019

2018
Fast Kronecker Product Kernel Methods via Generalized Vec Trick.
IEEE Trans. Neural Networks Learn. Syst., 2018

Playtime Measurement With Survival Analysis.
IEEE Trans. Games, 2018

A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression.
Neural Comput., 2018

Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome.
Comput. Biol. Medicine, 2018

Learning with multiple pairwise kernels for drug bioactivity prediction.
Bioinform., 2018

2017
HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT.
ACM Trans. Embed. Comput. Syst., 2017

Estimating the Rut Depth by UAV Photogrammetry.
Remote. Sens., 2017

Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors.
PLoS Comput. Biol., 2017

Estimating the prediction performance of spatial models via spatial k-fold cross validation.
Int. J. Geogr. Inf. Sci., 2017

Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

A/B-Test of Retention and Monetization Using the Cox Model.
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.
Remote. Sens., 2016

RLScore: Regularized Least-Squares Learners.
J. Mach. Learn. Res., 2016

Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method.
CoRR, 2016

Fast Kronecker product kernel methods via sampled vec trick.
CoRR, 2016

Comparison of automatic summarisation methods for clinical free text notes.
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.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

User activity decay in mobile games determined by simple differential equations?
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Modelling user retention in mobile games.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

Self-Adaptive Resource Management System in IaaS Clouds.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
Using Ant Colony System to Consolidate VMs for Green Cloud Computing.
IEEE Trans. Serv. Comput., 2015

Estimating the production time of a PCB assembly job without solving the optimised machine control.
Int. J. Comput. Integr. Manuf., 2015

Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels.
CoRR, 2015

Classification of plant species from images of overlapping leaves.
Comput. Electron. Agric., 2015

Toward more realistic drug-target interaction predictions.
Briefings Bioinform., 2015

Parallel Implementation of Fuzzified Pattern Matching Algorithm on GPU.
Proceedings of the 23rd Euromicro International Conference on Parallel, 2015

A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips.
Proceedings of the 9th International Symposium on Networks-on-Chip, 2015

Detecting stony areas based on ground surface curvature distribution.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Learning Low Cost Multi-target Models by Enforcing Sparsity.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Parallel Applications and On-chip Traffic Distributions: Observation, Implication and Modelling.
Proceedings of the ICSOFT-EA 2015, 2015

Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems.
Proceedings of the ICPRAM 2015, 2015

Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
Identification of Functionally Related Enzymes by Learning-to-Rank Methods.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Multi-label learning under feature extraction budgets.
Pattern Recognit. Lett., 2014

High Performance Pattern Matching on Heterogeneous Platform.
J. Integr. Bioinform., 2014

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers.
J. Comput. Sci. Technol., 2014

Predicting patient acuity from electronic patient records.
J. Biomed. Informatics, 2014

Fast and simple gradient-based optimization for semi-supervised support vector machines.
Neurocomputing, 2014

BDMap: A Heuristic Application Mapping Algorithm for the Big Data Era.
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.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

On Evaluation of Automatically Generated Clinical Discharge Summaries.
Proceedings of the 2nd European Workshop on Practical Aspects of Health Informatics, 2014

Predicting Water Permeability of the Soil Based on Open Data.
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.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Multi-agent Based Architecture for Dynamic VM Consolidation in Cloud Data Centers.
Proceedings of the 40th EUROMICRO Conference on Software Engineering and Advanced Applications, 2014

Hierarchical VM Management Architecture for Cloud Data Centers.
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.
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.
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.
Mach. Learn., 2013

Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives.
BioData Min., 2013

Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud Data Centers.
Proceedings of the IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013

Optimized multicore architectures for data parallel fast Fourier transform.
Proceedings of the Computer Systems and Technologies, 2013

Polynomial Runtime Bounds for Fixed-Rank Unsupervised Least-Squares Classification.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
A Kernel-Based Framework for Learning Graded Relations From Data.
IEEE Trans. Fuzzy Syst., 2012

Efficient cross-validation for kernelized least-squares regression with sparse basis expansions.
Mach. Learn., 2012

Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems.
Int. J. Embed. Real Time Commun. Syst., 2012

Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification.
Evol. Intell., 2012

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations.
Algorithms Mol. Biol., 2012

Parallel Feature Selection for Regularized Least-Squares.
Proceedings of the Applied Parallel and Scientific Computing, 2012

Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines.
Proceedings of the ICPRAM 2012, 2012

Unsupervised Multi-class Regularized Least-Squares Classification.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Implementation and Analysis of Block Dense Matrix Decomposition on Network-on-Chips.
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.
Pattern Recognit. Lett., 2011

On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix.
Neural Process. Lett., 2011

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve.
Comput. Stat. Data Anal., 2011

Extracting Contextualized Complex Biological Events with Rich Graph-Based Feature Sets.
Comput. Intell., 2011

Learning Multi-Label Predictors under Sparsity Budget.
Proceedings of the Eleventh Scandinavian Conference on Artificial Intelligence, 2011

A Parallel Online Regularized Least-squares Machine Learning Algorithm for Future Multi-core Processors.
Proceedings of the PECCS 2011, 2011

Speedy Local Search for Semi-Supervised Regularized Least-Squares.
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Greedy Regularized Least-Squares for Multi-task Learning.
Proceedings of the Data Mining Workshops (ICDMW), 2011

An Improved Training Algorithm for the Linear Ranking Support Vector Machine.
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.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

Learning Valued Relations from Data.
Proceedings of the Eurofuse 2011, 2011

2010
A comparison of AUC estimators in small-sample studies.
Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

Learning intransitive reciprocal relations with kernel methods.
Eur. J. Oper. Res., 2010

Conditional Ranking on Relational Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Speeding Up Greedy Forward Selection for Regularized Least-Squares.
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.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Co-Regularized Least-Squares for Label Ranking.
Proceedings of the Preference Learning., 2010

2009
An efficient algorithm for learning to rank from preference graphs.
Mach. Learn., 2009

Matrix representations, linear transformations, and kernels for disambiguation in natural language.
Mach. Learn., 2009

Locality kernels for sequential data and their applications to parse ranking.
Appl. Intell., 2009

Fast evolutionary maximum margin clustering.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Efficient Hold-Out for Subset of Regressors.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Extracting Complex Biological Events with Rich Graph-Based Feature Sets.
Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, BioNLP@HLT-NAACL 2009, 2009

2008
Kernels for Text Analysis.
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.
BMC Bioinform., 2008

A Sparse Regularized Least-Squares Preference Learning Algorithm.
Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

Efficient AUC Maximization with Regularized Least-Squares.
Proceedings of the Tenth Scandinavian Conference on Artificial Intelligence, 2008

A Graph Kernel for Protein-Protein Interaction Extraction.
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008

2007
Towards automated classification of intensive care nursing narratives.
Int. J. Medical Informatics, 2007

Inspiratory flow shape clustering: An automated method to monitor upper airway performance during sleep.
Comput. Methods Programs Biomed., 2007

2006
Evaluation of two dependency parsers on biomedical corpus targeted at protein-protein interactions.
Int. J. Medical Informatics, 2006

Relevance Ranking of Intensive Care Nursing Narratives.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Locality-Convolution Kernel and Its Application to Dependency Parse Ranking.
Proceedings of the Advances in Applied Artificial Intelligence, 2006

Incorporating External Information in Bayesian Classifiers Via Linear Feature Transformations.
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.
BMC Bioinform., 2005

Regularized Least-Squares for Parse Ranking.
Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004
Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

Analysis of Link Grammar on Biomedical Dependency Corpus Targeted at Protein-Protein Interactions.
Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications, 2004


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