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  1. Kernel methods for pairwise learning

    Article • Neural Computation, August 2018, The MIT Press

    Tapio Pahikkala, Michiel Stock

  2. Estimating the Rut Depth by UAV Photogrammetry

    Article • Remote Sensing, December 2017, MDPI AG

    Tapio Pahikkala

  3. A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines

    Article • Cell Systems, November 2017, Elsevier

    Tapio Pahikkala, Professor Julio Saez-Rodriguez

  4. HiCH

    Article • ACM Transactions on Embedded Computing Systems, October 2017, ACM (Association for Computing Machinery)

    Tapio Pahikkala

  5. Assessment of metal ion concentration in water with structured feature selection

    Article • Chemosphere, October 2017, Elsevier

    Tapio Pahikkala

  6. Switching maintenance infliximab therapy to biosimilar infliximab in inflammatory bowel disease patients

    Article • Scandinavian Journal of Gastroenterology, August 2017, Taylor & Francis

    Tapio Pahikkala

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

    Article • PLoS Computational Biology, August 2017, PLOS

    Tapio Pahikkala

  8. A validation technique countering the effect of spatial auto-correlation

    Article • International Journal of Geographical Information Science, July 2017, Taylor & Francis

    Mr Paavo T. Nevalainen, Mr Paavo Nevalainen, Tapio Pahikkala

  9. Luminometric Label Array for Counting and Differentiation of Bacteria

    Article • Analytical Chemistry, February 2017, American Chemical Society (ACS)

    Tapio Pahikkala

  10. Fast Kronecker Product Kernel Methods via Generalized Vec Trick

    Article • IEEE Transactions on Neural Networks and Learning Systems, January 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

  11. Playtime Measurement with Survival Analysis

    Article • IEEE Transactions on Computational Intelligence and AI in Games, January 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

  12. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data

    Article • The Lancet Oncology, November 2016, Elsevier

    Christoph F Kurz, Tapio Pahikkala, Mr Mehrad Mahmoudian

  13. Circulating Cytokines Predict the Development of Insulin Resistance in a Prospective Finnish Population Cohort

    Article • The Journal of Clinical Endocrinology & Metabolism, September 2016, Endocrine Society

    Tapio Pahikkala

  14. Modelling user retention in mobile games

    Article • September 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

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

    Article • September 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

  16. Detecting Terrain Stoniness From Airborne Laser Scanning Data †

    Article • Remote Sensing, August 2016, MDPI AG

    Tapio Pahikkala

  17. Self-Adaptive Resource Management System in IaaS Clouds

    Article • June 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

  18. Fitting methods for intravoxel incoherent motion imaging of prostate cancer on region of interest level: Repeatability and gleason score prediction

    Article • Magnetic Resonance in Medicine, February 2016, Wiley

    Tapio Pahikkala

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

    Article • IEEE Transactions on Cloud Computing, January 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

  20. Detecting stony areas based on ground surface curvature distribution

    Article • November 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

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

    Article • September 2015, ACM (Association for Computing Machinery)

    Tapio Pahikkala

  22. Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing

    Article • June 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

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

    Article • January 2015, Springer Science + Business Media

    Tapio Pahikkala

  24. Hierarchical VM Management Architecture for Cloud Data Centers

    Article • December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

  25. Regularized Machine Learning in the Genetic Prediction of Complex Traits

    Article • PLoS Genetics, November 2014, PLOS

    Prof. Tero Aittokallio, Tapio Pahikkala

  26. Predicting patient acuity from electronic patient records

    Article • Journal of Biomedical Informatics, October 2014, Elsevier

    Tapio Pahikkala

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

    Article • August 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

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

    Article • August 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

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

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

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

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

  31. Multi-label learning under feature extraction budgets

    Article • Pattern Recognition Letters, April 2014, Elsevier

    Tapio Pahikkala

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

    Article • January 2014, Springer Science + Business Media

    Tapio Pahikkala

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

    Article • Journal of Computer Science and Technology, January 2014, Springer Science + Business Media

    Tapio Pahikkala

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

    Article • Neurocomputing, January 2014, Elsevier

    Tapio Pahikkala

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

    Article • December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

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

    Article • Machine Learning, June 2013, Springer Science + Business Media

    Tapio Pahikkala

  37. Comparison of chlorophyll fluorescence curves and texture analysis for automatic plant identification

    Article • Precision Agriculture, June 2013, Springer Science + Business Media

    Dr Esa Tyystjärvi, Tapio Pahikkala

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

    Article • BioData Mining, March 2013, Springer Science + Business Media

    Prof. Tero Aittokallio, Tapio Pahikkala

  39. Optimized multicore architectures for data parallel fast Fourier transform

    Article • January 2013, ACM (Association for Computing Machinery)

    Tapio Pahikkala

  40. Unsupervised Multi-class Regularized Least-Squares Classification

    Article • December 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

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

    Article • Machine Learning, April 2012, Springer Science + Business Media

    Tapio Pahikkala

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

    Article • Evolutionary Intelligence, March 2012, Springer Science + Business Media

    Tapio Pahikkala

  43. EXTRACTING CONTEXTUALIZED COMPLEX BIOLOGICAL EVENTS WITH RICH GRAPH-BASED FEATURE SETS

    Article • Computational Intelligence, November 2011, Wiley

    Tapio Pahikkala

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

    Article • Pattern Recognition Letters, July 2011, Elsevier

    Tapio Pahikkala

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

    Article • January 2011, Springer Science + Business Media

    Tapio Pahikkala

  46. Speeding Up Greedy Forward Selection for Regularized Least-Squares

    Article • December 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Tapio Pahikkala

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

    Article • Neural Processing Letters, December 2010, Springer Science + Business Media

    Tapio Pahikkala

  48. Learning intransitive reciprocal relations with kernel methods

    Article • European Journal of Operational Research, November 2010, Elsevier

    Tapio Pahikkala

  49. Conditional Ranking on Relational Data

    Article • January 2010, Springer Science + Business Media

    Tapio Pahikkala

  50. An efficient algorithm for learning to rank from preference graphs

    Article • Machine Learning, January 2009, Springer Science + Business Media

    Tapio Pahikkala

  51. Extracting complex biological events with rich graph-based feature sets

    Article • January 2009, Association for Computational Linguistics (ACL)

    Tapio Pahikkala

  52. Fast evolutionary maximum margin clustering

    Article • January 2009, ACM (Association for Computing Machinery)

    Tapio Pahikkala

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

    Article • Machine Learning, September 2008, Springer Science + Business Media

    Tapio Pahikkala

  54. A graph kernel for protein-protein interaction extraction

    Article • January 2008, Association for Computational Linguistics (ACL)

    Tapio Pahikkala

  55. Computer-assisted identification of multitrace electrophoretic patterns in differential display experiments

    Article • Electrophoresis, March 2007, Wiley

    Prof. Tero Aittokallio, Tapio Pahikkala

  56. Regularized Least-Squares for Parse Ranking

    Article • January 2005, Springer Science + Business Media

    Tapio Pahikkala