Professor, Computer Science
My co-authors include
Prof. Tero Aittokallio
Christoph F Kurz
Mr Mehrad Mahmoudian
Kernel methods for pairwise learning
Estimating the Rut Depth by UAV Photogrammetry
A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through A...
ACM Transactions on Embedded Computing Systems
Assessment of metal ion concentration in water with structured feature selection
Switching maintenance infliximab therapy to biosimilar infliximab in inflammatory bowel...
Scandinavian Journal of Gastroenterology
Computational-experimental approach to drug-target interaction mapping: A case study on...
PLoS Computational Biology
A validation technique countering the effect of spatial auto-correlation
International Journal of Geographical Information Science
Luminometric Label Array for Counting and Differentiation of Bacteria
Fast Kronecker Product Kernel Methods via Generalized Vec Trick
IEEE Transactions on Neural Networks and Learning Systems
Playtime Measurement with Survival Analysis
IEEE Transactions on Computational Intelligence and AI in Games
Prediction of overall survival for patients with metastatic castration-resistant prosta...
The Lancet Oncology
Circulating Cytokines Predict the Development of Insulin Resistance in a Prospective Fi...
The Journal of Clinical Endocrinology & Metabolism
Modelling user retention in mobile games
User activity decay in mobile games determined by simple differential equations?
Detecting Terrain Stoniness From Airborne Laser Scanning Data †
Self-Adaptive Resource Management System in IaaS Clouds
Fitting methods for intravoxel incoherent motion imaging of prostate cancer on region o...
Magnetic Resonance in Medicine
Energy-aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model
IEEE Transactions on Cloud Computing
Detecting stony areas based on ground surface curvature distribution
A Low-Overhead, Fully-Distributed, Guaranteed-Delivery Routing Algorithm for Faulty Net...
Utilization Prediction Aware VM Consolidation Approach for Green Cloud Computing
Batch Steepest-Descent-Mildest-Ascent for Interactive Maximum Margin Clustering
Hierarchical VM Management Architecture for Cloud Data Centers
Regularized Machine Learning in the Genetic Prediction of Complex Traits
Predicting patient acuity from electronic patient records
Journal of Biomedical Informatics
Multi-agent Based Architecture for Dynamic VM Consolidation in Cloud Data Centers
Arctic Soil Hydraulic Conductivity and Soil Type Recognition Based on Aerial Gamma-Ray ...
Hierarchical Agent-Based Architecture for Resource Management in Cloud Data Centers
Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System
Multi-label learning under feature extraction budgets
Pattern Recognition Letters
Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training ...
On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers
Journal of Computer Science and Technology
Fast and simple gradient-based optimization for semi-supervised support vector machines
Energy Aware Consolidation Algorithm Based on K-Nearest Neighbor Regression for Cloud D...
Efficient regularized least-squares algorithms for conditional ranking on relational data
Comparison of chlorophyll fluorescence curves and texture analysis for automatic plant ...
Genetic variants and their interactions in disease risk prediction – machine learning a...
Optimized multicore architectures for data parallel fast Fourier transform
Unsupervised Multi-class Regularized Least-Squares Classification
Efficient cross-validation for kernelized least-squares regression with sparse basis ex...
Efficient recurrent local search strategies for semi- and unsupervised regularized leas...
EXTRACTING CONTEXTUALIZED COMPLEX BIOLOGICAL EVENTS WITH RICH GRAPH-BASED FEATURE SETS
Training linear ranking SVMs in linearithmic time using red–black trees
Pattern Recognition Letters
An Improved Training Algorithm for the Linear Ranking Support Vector Machine
Speeding Up Greedy Forward Selection for Regularized Least-Squares
On Learning and Cross-Validation with Decomposed Nyström Approximation of Kernel Matrix
Neural Processing Letters
Learning intransitive reciprocal relations with kernel methods
European Journal of Operational Research
Conditional Ranking on Relational Data
An efficient algorithm for learning to rank from preference graphs
Extracting complex biological events with rich graph-based feature sets
Fast evolutionary maximum margin clustering
Matrix representations, linear transformations, and kernels for disambiguation in natur...
A graph kernel for protein-protein interaction extraction
Computer-assisted identification of multitrace electrophoretic patterns in differential...
Regularized Least-Squares for Parse Ranking