Paul Smyth

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Structural Similarity

Web Based Systems

Subcellular Localization

Top Venues

Publications

Aleix Lafita, Ferran Gonzalez, Mahmoud Hossam, Paul Smyth, Jacob Deasy, Ari Allyn-Feuer, Daniel Seaton, Stephen Young
Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction. CoRR (2024)
Thomas Beznik, Paul Smyth, Gaël de Lannoy, John A. Lee
Deep learning to detect bacterial colonies for the production of vaccines. Neurocomputing 470 (2022)
Stephen Price, Stéphane Tombeur, Alexander Hudson, Nanda Kumar Sathiyamoorthy, Paul Smyth, Anjana Singh, Mara Peccianti, Elisa Baroncelli, Ahmed Essaghir, Ilaria Ferlenghi, Sanjay Kumar Phogat, Gurpreet Singh
TMQuery: a database of precomputed template modeling scores for assessment of protein structural similarity. Bioinform. 38 (7) (2022)
Tanguy Naets, Maarten Huijsmans, Paul Smyth, Laurent Sorber, Gaël de Lannoy
A Mask R-CNN approach to counting bacterial colony forming units in pharmaceutical development. CoRR (2021)
Paul Smyth, John A. Lee, Gaël de Lannoy, Thomas Beznik
Deep Learning to Detect Bacterial Colonies for the Production of Vaccines. ESANN (2020)
Paul Smyth, Tanguy Naets, Gaël de Lannoy, Laurent Sorber
An agile machine learning project in pharma - developing a Mask R-CNN-based web application for bacterial colony counting. ESANN (2020)
Thomas Beznik, Paul Smyth, Gaël de Lannoy, John A. Lee
Deep Learning to Detect Bacterial Colonies for the Production of Vaccines. CoRR (2020)
Gaël de Lannoy, Thibault Helleputte, Paul Smyth
Machine learning in the biopharma industry. ESANN (2020)
Paul Smyth, Gaël de Lannoy, Moritz von Stosch, Alexander Pysik, Amin Khan
Machine learning in research and development of new vaccines products: opportunities and challenges. ESANN (2019)