Michiel Stock
Michiel Stock
Post doctoral researcher in machine learning, Ghent Univerisy
Verified email at ugent.be
Cited by
Cited by
A community effort to assess and improve drug sensitivity prediction algorithms
JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ...
Nature biotechnology 32 (12), 1202-1212, 2014
Exploration and prediction of interactions between methanotrophs and heterotrophs
M Stock, S Hoefman, FM Kerckhof, N Boon, P De Vos, B De Baets, ...
Research in microbiology 164 (10), 1045-1054, 2013
Efficient regularized least-squares algorithms for conditional ranking on relational data
T Pahikkala, A Airola, M Stock, B De Baets, W Waegeman
Machine Learning 93 (2-3), 321-356, 2013
A decoy-free approach to the identification of peptides
G Gonnelli, M Stock, J Verwaeren, D Maddelein, B De Baets, L Martens, ...
Journal of proteome research 14 (4), 1792-1798, 2015
A kernel-based framework for learning graded relations from data
W Waegeman, T Pahikkala, A Airola, T Salakoski, M Stock, B De Baets
IEEE Transactions on Fuzzy Systems 20 (6), 1090-1101, 2012
Data-driven recipe completion using machine learning methods
M De Clercq, M Stock, B De Baets, W Waegeman
Trends in Food Science & Technology 49, 1-13, 2016
A two-step learning approach for solving full and almost full cold start problems in dyadic prediction
T Pahikkala, M Stock, A Airola, T Aittokallio, B De Baets, W Waegeman
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
miSTAR: miRNA target prediction through modeling quantitative and qualitative miRNA binding site information in a stacked model structure
G Van Peer, A De Paepe, M Stock, J Anckaert, PJ Volders, ...
Nucleic Acids Research 45 (7), e51-e51, 2017
Linear filtering reveals false negatives in species interaction data
M Stock, T Poisot, W Waegeman, B De Baets
Scientific reports 7 (1), 1-8, 2017
A comparative study of pairwise learning methods based on kernel ridge regression
M Stock, T Pahikkala, A Airola, B De Baets, W Waegeman
Neural computation 30 (8), 2245-2283, 2018
Predicting wildlife hosts of betacoronaviruses for SARS-CoV-2 sampling prioritization: a modeling study
D Becker, GF Albery, AR Sjodin, T Poisot, T Dallas, EA Eskew, MJ Farrell, ...
bioRxiv, 2020
Liquid‐to‐solid ratio control as an advanced process control solution for continuous twin‐screw wet granulation
N Nicolaď, F De Leersnyder, D Copot, M Stock, CM Ionescu, KV Gernaey, ...
AIChE Journal 64 (7), 2500-2514, 2018
Algebraic shortcuts for leave-one-out cross-validation in supervised network inference
M Stock, T Pahikkala, A Airola, W Waegeman, B De Baets
Briefings in bioinformatics 21 (1), 262-271, 2020
EcologicalNetworks. jl: analysing ecological networks of species interactions
T Poisot, Z Bélisle, L Hoebeke, M Stock, P Szefer
Ecography 42 (11), 1850-1861, 2019
Efficient pairwise learning using kernel ridge regression: an exact two-step method
M Stock, T Pahikkala, A Airola, B De Baets, W Waegeman
arXiv preprint arXiv:1606.04275, 2016
Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteins
D Boeckaerts, M Stock, B Criel, H Gerstmans, B De Baets, Y Briers
Scientific reports 11 (1), 1-14, 2021
Predictive design of sigma factor-specific promoters
M Van Brempt, J Clauwaert, F Mey, M Stock, J Maertens, W Waegeman, ...
Nature communications 11 (1), 1-13, 2020
X-ray microtomography and linear discriminant analysis enable detection of embolism-related acoustic emissions
NJF De Baerdemaeker, M Stock, J Van den Bulcke, B De Baets, ...
Plant methods 15 (1), 1-18, 2019
Identification of functionally related enzymes by learning-to-rank methods
M Stock, T Fober, E Hüllermeier, S Glinca, G Klebe, T Pahikkala, A Airola, ...
IEEE/ACM transactions on computational biology and bioinformatics 11 (6 …, 2014
Predicting pharmaceutical particle size distributions using kernel mean embedding
D Van Hauwermeiren, M Stock, T De Beer, I Nopens
Pharmaceutics 12 (3), 271, 2020
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