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 | 683 | 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 | 72 | 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 | 46 | 2015 |
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), 1467, 2021 | 45 | 2021 |
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, 321-356, 2013 | 43 | 2013 |
Optimising predictive models to prioritise viral discovery in zoonotic reservoirs DJ Becker, GF Albery, AR Sjodin, T Poisot, LM Bergner, B Chen, ... The Lancet Microbe, 2022 | 39 | 2022 |
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 | 35 | 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 | 32 | 2016 |
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 | 30 | 2017 |
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 | 29 | 2017 |
Predicting wildlife hosts of betacoronaviruses for SARS-CoV-2 sampling prioritization D Becker, GF Albery, AR Sjodin, T Poisot, L Bergner, T Dallas, EA Eskew, ... | 25 | 2020 |
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 Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 25 | 2014 |
Predictive design of sigma factor-specific promoters M Van Brempt, J Clauwaert, F Mey, M Stock, J Maertens, W Waegeman, ... Nature communications 11 (1), 5822, 2020 | 24 | 2020 |
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 | 24 | 2018 |
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 | 22 | 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 | 14 | 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 | 14 | 2019 |
Predicting pharmaceutical particle size distributions using kernel mean embedding D Van Hauwermeiren, M Stock, T De Beer, I Nopens Pharmaceutics 12 (3), 271, 2020 | 12 | 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 | 12 | 2019 |
Machine learning techniques to characterize functional traits of plankton from image data EC Orenstein, SD Ayata, F Maps, ÉC Becker, F Benedetti, T Biard, ... Limnology and oceanography 67 (8), 1647-1669, 2022 | 11 | 2022 |