Michiel Stock

According to our database, Michiel Stock authored at least 19 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data.

Michiel Stock, Dimitri Boeckaerts, Pieter Dewulf, Steff Taelman, Maxime Van Haeverbeke, Wim Van Criekinge, Bernard De Baets

CoRR, 2024

2023

Evaluating the potential of Distribution of Relaxation Times analysis for plant agriculture.

Maxime Van Haeverbeke, Bernard De Baets, Michiel Stock

Comput. Electron. Agric., October, 2023

The Hyperdimensional Transform for Distributional Modelling, Regression and Classification.

Pieter Dewulf, Bernard De Baets, Michiel Stock

CoRR, 2023

The Hyperdimensional Transform: a Holographic Representation of Functions.

Pieter Dewulf, Michiel Stock, Bernard De Baets

CoRR, 2023

2022

BioCCP.jl: collecting coupons in combinatorial biotechnology.

Kirsten Van Huffel, Michiel Stock, Bernard De Baets

Bioinform., 2022

Equivalent Electrical Circuits and Their Use Across Electrochemical Impedance Spectroscopy Application Domains.

Maxime Van Haeverbeke, Michiel Stock, Bernard De Baets

IEEE Access, 2022

2021

Practical Equivalent Electrical Circuit Identification for Electrochemical Impedance Spectroscopy Analysis With Gene Expression Programming.

Maxime Van Haeverbeke, Michiel Stock, Bernard De Baets

IEEE Trans. Instrum. Meas., 2021

Disentangling the Information in Species Interaction Networks.

Michiel Stock, Laura Hoebeke, Bernard De Baets

Entropy, 2021

Otolith identification using a deep hierarchical classification model.

Michiel Stock, Bac Nguyen, Wouter Courtens, Hilbran Verstraete, Eric W. M. Stienen, Bernard De Baets

Comput. Electron. Agric., 2021

2020

Gloxinia - An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants.

Olivier Pieters, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldán-Ruiz, Francis Wyffels

Sensors, 2020

Limitations of snapshot hyperspectral cameras to monitor plant response dynamics in stress-free conditions.

Olivier Pieters, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldán-Ruiz, Francis Wyffels

Comput. Electron. Agric., 2020

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

Michiel Stock, Tapio Pahikkala, Antti Airola, Willem Waegeman, Bernard De Baets

Briefings Bioinform., 2020

2018

A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression.

Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman

Neural Comput., 2018

2016

Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models.

Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman

Data Min. Knowl. Discov., 2016

Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method.

Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman

CoRR, 2016

2014

Identification of Functionally Related Enzymes by Learning-to-Rank Methods.

Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction.

Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013

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

Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman

Mach. Learn., 2013

2012

A Kernel-Based Framework for Learning Graded Relations From Data.

Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets

IEEE Trans. Fuzzy Syst., 2012