Gaël de Lannoy

According to our database, Gaël de Lannoy authored at least 16 papers between 2008 and 2022.

Collaborative distances:

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

2022

Deep learning to detect bacterial colonies for the production of vaccines.

Thomas Beznik, Paul Smyth, Gaël de Lannoy, John A. Lee

Neurocomputing, 2022

2021

A Mask R-CNN approach to counting bacterial colony forming units in pharmaceutical development.

Tanguy Naets, Maarten Huijsmans, Paul Smyth, Laurent Sorber, Gaël de Lannoy

CoRR, 2021

2020

An agile machine learning project in pharma - developing a Mask R-CNN-based web application for bacterial colony counting.

Paul Smyth, Tanguy Naets, Gaël de Lannoy, Laurent Sorber

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Machine learning in the biopharma industry.

Gaël de Lannoy, Thibault Helleputte, Paul Smyth

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Machine learning in research and development of new vaccines products: opportunities and challenges.

Paul Smyth, Gaël de Lannoy, Moritz von Stosch, Alexander Pysik, Amin Khan

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2012

Weighted Conditional Random Fields for Supervised Interpatient Heartbeat Classification.

Gaël de Lannoy, Damien François, Jean Delbeke, Michel Verleysen

IEEE Trans. Biomed. Eng., 2012

2011

Feature Selection for Interpatient Supervised Heart Beat Classification.

Gauthier Doquire, Gaël de Lannoy, Damien François, Michel Verleysen

Comput. Intell. Neurosci., 2011

Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs.

Benoît Frénay, Gaël de Lannoy, Michel Verleysen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Class-Specific Feature Selection for One-Against-All Multiclass SVMs.

Gaël de Lannoy, Damien François, Michel Verleysen

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Feature Selection for Inter-patient Supervised Heart Beat Classification.

Gauthier Doquire, Gaël de Lannoy, Damien François, Michel Verleysen

Proceedings of the BIOSIGNALS 2011, 2011

2010

Weighted SVMs and Feature Relevance Assessment in Supervised Heart Beat Classification.

Gaël de Lannoy, Damien François, Jean Delbeke, Michel Verleysen

Proceedings of the Biomedical Engineering Systems and Technologies, 2010

Feature Relevance Assessment in Automatic Inter-patient Heart Beat Classification.

Gaël de Lannoy, Damien François, Jean Delbeke, Michel Verleysen

Proceedings of the BIOSIGNALS 2010, 2010

2009

Improving the transition modelling in hidden Markov models for ECG segmentation.

Benoît Frénay, Gaël de Lannoy, Michel Verleysen

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Assessment and Comparison of Time Realignment Methods for Supervised Heart Beat Classification.

Gaël de Lannoy, Michel Verleysen, Jean Delbeke

Proceedings of the BIOSIGNALS 2009, 2009

2008

A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs.

Gaël de Lannoy, Arnaud de Decker, Michel Verleysen

Proceedings of the Biomedical Engineering Systems and Technologies, 2008

A Supervised Learning Approach Based on the Continuous Wavelet Transform for R Spike Detection in ECG.

Gaël de Lannoy, Arnaud de Decker, Michel Verleysen

Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008