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Tapio Pahikkala

Tapio Pahikkala | University of Turku

Introducing Tapio Pahikkala, Associate Professor at the Department of Computing, University of Turku – Turku

Tapio Pahikkala – Home

Thanks to the MTP Winner Parkin, Big Data changed the world – Millennium Technology Prize

Stream Tapio Pahikkala: Tekoälymenetelmien suorituskyvyn arviointi niiden tutkimuksessa ja kehityksessä by Turun yliopisto – University of Turku | Listen online for free on SoundCloud

Turun yliopiston video: Koneoppiminen ja lääketiede – Turkutuubi – Turun Sanomat

Big Data muutti maailman

Tapio Pahikkala

Uusia koneoppimismenetelmiä tiedonlouhintaan – Digitoday – Ilta-Sanomat

Mikä on suurin haaste tekoälyn kehittymiselle? – YouTube

Advances in Natural Language Processing: 5th International Conference, FinTAL 2006 Turku, Finland, August 23-25, 2006 Proceedings (Lecture Notes in Computer Science, 4139): Salakoski, Tapio, Ginter, Filip, Pyysalo, Sampo, Pahikkala, Tapio …

Tapio Pahikkala – Professor – Turun yliopisto – University of Turku | LinkedIn

New kernel functions and learning methods for text and data mining – UTUPub

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Speeding up Greedy Forward Selection for Regularized Least-Squares Tapio Pahikkala, Antti Airola, and Tapio Salakoski Department

Tapio Pahikkala – Professor – Turun yliopisto – University of Turku | LinkedIn

PDF) Learning Valued Relations from Data

PDF) A sparse regularized least-squares preference learning algorithm | Tapio Pahikkala

Tapio Pahikkala – Professor – Turun yliopisto – University of Turku | LinkedIn

A kernel-based framework for learning graded relations from data

PDF) Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks

PDF) Self-adaptive Resource Management System in IaaS Clouds | Fahimeh Farahnakian and Tapio Pahikkala

A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Network-on-Chips Mohammad Fattah 1, Antti Airola 1, Rachata Ausavarungnirun. – ppt download

PDF) Information Extraction from Biomedical Text: The BioText Project

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

RLScore: Regularized Least-Squares Learners

PDF) Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems | Tapio Pahikkala

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

Efficient Recurrent Local Search Strategies for Semi- and Unsupervised Regularized Least-Squares Classification

Tapio Pahikkala – Professor – Turun yliopisto – University of Turku | LinkedIn

Comparison of automatic summarisation methods for clinical free text notes – topic of research paper in Computer and information sciences. Download scholarly article PDF and read for free on CyberLeninka open science

Synthetic minority oversampling of vital statistics data with generative adversarial networks – UTUPub

Advances in Natural Language Processing: 5th International Conference, FinTAL 2006 Turku, Finland, August 23-25, 2006 Proceedings (Lecture Notes in Computer Science, 4139): Salakoski, Tapio, Ginter, Filip, Pyysalo, Sampo, Pahikkala, Tapio …

A Graph Kernel for Protein-Protein Interaction Extraction – ACL Anthology

PDF) Fast n-Fold Cross-Validation for Regularized Least-Squares

PDF) Predicting Water Permeability of the Soil Based on Open Data | Tapio Pahikkala

PDF) Predicting Unemployment with Machine Learning Based on Registry Data

PDF) Relevance Ranking of Intensive Care Nursing Narratives | Barbro Back and Tapio Pahikkala

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

EXACT AND EFFICIENT LEAVE-PAIR-OUT CROSS-VALIDATION FOR RANKING RLS Tapio Pahikkala, Antti Airola, Jorma Boberg, and Tapio Salak

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

PDF) An efficient algorithm for learning to rank from preference graphs

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

Detecting Terrain Stoniness From Airborne Laser Scanning Data

PDF) Regularized Least-Squares for Learning Non-Transitive Preferences between Strategies | Tapio Pahikkala

Improving compound–protein interaction prediction by building up highly credible negative samples Toward more realistic drug-target interaction predictions. – ppt download

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

Tapio Pahikkala – CatalyzeX

PDF) Sparse Quasi-Newton Optimization for Semi-Supervised Support Vector Machines

Curriculum Vitae of Prof. Tapio Pahikkala

Quicksort leave-pair-out cross-validation for ROC curve analysis,Computational Statistics – X-MOL

Effect of oat β-glucan of different molecular weights on fecal bile acids, urine metabolites and pressure in the digestive tract – A human cross over trial – ScienceDirect

Greedy RankRLS: a Linear Time Algorithm for Learning Sparse Ranking Models

PDF) Speeding up greedy forward selection for regularized least-squares | Tapio Pahikkala

Antti Airola | University of Turku

PDF) A graph kernel for protein-protein interaction extraction

All Research Groups – Page 10 – Drug Development and Diagnostics

BMC Bioinformatics

BioNLP09 Winners

FUTURE OF ROBOTICS IN FINLAND SEMINAR 2014 – IEEE Finland Section

Parallelized Online Regularized Least-Squares for Adaptive Embedded Systems

Tapio Pahikkala – CatalyzeX

A Machine Learning Approach Towards Early Detection of Frequent Health Care Users

PDF) Classification of plant species from images of overlapping leaves | Tapio Pahikkala

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

Efficient AUC Maximization with Regularized Least-Squares

PDF) Evaluation of two dependency parsers on biomedical corpus targeted at protein–protein interactions

PDF) Regularized machine learning in the genetic prediction of complex traits | Tapio Pahikkala

Bishwesvar Pratap Singh – Clinical Database Programmer – Freelance | LinkedIn

eHealth and Serious Games Our group uses well

arXiv: [] 5 Mar 2018

FUTURE OF ROBOTICS IN FINLAND SEMINAR 2014 – IEEE Finland Section

Automated quantification of Reuters news using a receiver operating characteristic curve analysis: The Western media image of Ch

Small data AUC estimation for machine learning methods: Pitfalls and remedies

Multi-Label Learning under Feature Extraction Budgets

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

Yhdistetyt!tietojenkäsittelyn!päivät!2012! ! Federated!Computer!Science!Event!2012!

Remote Sensing | Free Full-Text | Detecting Terrain Stoniness From Airborne Laser Scanning Data †

Tapio Pahikkala – CatalyzeX

Tapio Pahikkala: A Link between Coding Theory and Cross-Validation with Applications — FCAI

A comparative study of pairwise learning methods based on Kernel ridge regression – UTUPub

Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation | DeepAI

Learning Multi-Label Predictors under Sparsity Budget

Triangular Curvature Approximation of Surfaces

PDF) Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray Spectroscopy and Topographical Data | Tapio Pahikkala –

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

On Parallel Online Learning for Adaptive Embedded Systems

Paavo Kosonen (@TheKosonen) / Twitter

Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data

Topic / title of Dissertation: • Nonsmooth Optimization and Machine Learning Instructor(s), supervisor, sources of funding •

PDF) Evaluation of machine learning algorithms for improved risk assessment for Down’s syndrome

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

arXiv: [] 22 Mar 2021

Feature selection for regularized least-squares: New computational short-cuts and fast algorithmic implementations

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