Michiel Stock

31 papers Journal 29Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
The Hyperdimensional Transform: A Holographic Representation of Functions.
IEEE J. Sel. Top. Signal Process.
Pieter Dewulf, Michiel Stock, Bernard De Baets
2025 J jnl
The hyperdimensional transform for distributional modeling, regression and classification.
Neural Comput. Appl.
Pieter Dewulf, Bernard De Baets, Michiel Stock
2024 J jnl
DepoScope: Accurate phage depolymerase annotation and domain delineation using large language models.
PLoS Comput. Biol.
Robby Concha-Eloko, Michiel Stock, Bernard De Baets, Yves Briers, Rafael Sanjuán, Pilar Domingo-Calap, Dimitri Boeckaerts
2024 J jnl
Hyperdimensional computing: A fast, robust, and interpretable paradigm for biological data.
PLoS Comput. Biol.
Michiel Stock, Wim Van Criekinge, Dimitri Boeckaerts, Steff Taelman, Maxime Van Haeverbeke, Pieter Dewulf, Bernard De Baets
2024 J jnl
Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data.
CoRR
Michiel Stock, Dimitri Boeckaerts, Pieter Dewulf, Steff Taelman, Maxime Van Haeverbeke, Wim Van Criekinge, Bernard De Baets
2024 J jnl
Link Prediction in Stagewise Graphs.
IEEE Trans. Knowl. Data Eng.
Pieter Dewulf, Michiel Stock, Bernard De Baets
2024 — conf
Microelectrode-array-based sensing of bacterial biofilm antibiotic susceptibility using impedance spectroscopy and convolutional neural networks.
BioCAS
Maxime Van Haeverbeke, Charlotte Cums, Thijs Vackier, Dries Braeken, Michiel Stock, Hans Steenackers, Bernard De Baets
2023 J jnl
Evaluating the potential of Distribution of Relaxation Times analysis for plant agriculture.
Comput. Electron. Agric.
Maxime Van Haeverbeke, Bernard De Baets, Michiel Stock
2023 J jnl
The Hyperdimensional Transform for Distributional Modelling, Regression and Classification.
CoRR
Pieter Dewulf, Bernard De Baets, Michiel Stock
2023 J jnl
The Hyperdimensional Transform: a Holographic Representation of Functions.
CoRR
Pieter Dewulf, Michiel Stock, Bernard De Baets
2022 J jnl
BioCCP.jl: collecting coupons in combinatorial biotechnology.
Bioinform.
Kirsten Van Huffel, Michiel Stock, Bernard De Baets
2022 J jnl
Equivalent Electrical Circuits and Their Use Across Electrochemical Impedance Spectroscopy Application Domains.
IEEE Access
Maxime Van Haeverbeke, Michiel Stock, Bernard De Baets
2021 J jnl
Disentangling the Information in Species Interaction Networks.
Entropy
Michiel Stock, Laura Hoebeke, Bernard De Baets
2021 J jnl
Otolith identification using a deep hierarchical classification model.
Comput. Electron. Agric.
Michiel Stock, Bac Nguyen, Wouter Courtens, Hilbran Verstraete, Eric W. M. Stienen, Bernard De Baets
2021 J jnl
Practical Equivalent Electrical Circuit Identification for Electrochemical Impedance Spectroscopy Analysis With Gene Expression Programming.
IEEE Trans. Instrum. Meas.
Maxime Van Haeverbeke, Michiel Stock, Bernard De Baets
2020 J jnl
Algebraic shortcuts for leave-one-out cross-validation in supervised network inference.
Briefings Bioinform.
Michiel Stock, Tapio Pahikkala, Antti Airola, Willem Waegeman, Bernard De Baets
2020 J jnl
Gloxinia - An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants.
Sensors
Olivier Pieters, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldán-Ruiz, Francis Wyffels
2020 J jnl
Limitations of snapshot hyperspectral cameras to monitor plant response dynamics in stress-free conditions.
Comput. Electron. Agric.
Olivier Pieters, Tom De Swaef, Peter Lootens, Michiel Stock, Isabel Roldán-Ruiz, Francis Wyffels
2018 J jnl
A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression.
Neural Comput.
Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
2018 J jnl
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression.
CoRR
Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
2016 J jnl
Efficient Pairwise Learning Using Kernel Ridge Regression: an Exact Two-Step Method.
CoRR
Michiel Stock, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
2016 J jnl
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models.
CoRR
Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman
2016 J jnl
Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models.
Data Min. Knowl. Discov.
Michiel Stock, Krzysztof Dembczynski, Bernard De Baets, Willem Waegeman
2014 — conf
A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction.
ECML/PKDD (2)
Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman
2014 J jnl
A two-step learning approach for solving full and almost full cold start problems in dyadic prediction.
CoRR
Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman
2014 J jnl
Identification of Functionally Related Enzymes by Learning-to-Rank Methods.
IEEE ACM Trans. Comput. Biol. Bioinform.
Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
2014 J jnl
Identification of functionally related enzymes by learning-to-rank methods.
CoRR
Michiel Stock, Thomas Fober, Eyke Hüllermeier, Serghei Glinca, Gerhard Klebe, Tapio Pahikkala, Antti Airola, Bernard De Baets, Willem Waegeman
2013 J jnl
Efficient regularized least-squares algorithms for conditional ranking on relational data.
Mach. Learn.
Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman
2012 J jnl
A Kernel-Based Framework for Learning Graded Relations From Data.
IEEE Trans. Fuzzy Syst.
Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets
2012 J jnl
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data
CoRR
Tapio Pahikkala, Antti Airola, Michiel Stock, Bernard De Baets, Willem Waegeman
2011 J jnl
A kernel-based framework for learning graded relations from data
CoRR
Willem Waegeman, Tapio Pahikkala, Antti Airola, Tapio Salakoski, Michiel Stock, Bernard De Baets