An additive penalty PP-Spline approach to derivative estimation. - Andrew J. Simpkin; John Newell (Comput. Stat. Data Anal., 2013)

A Supervised Learning Model for the Automatic Assessment of Language Levels Based on Learner Errors. - Nicolas Ballier; Thomas Gaillat; Andrew J. Simpkin; Bernardo Stearns; Manon Bouyé; Manel Zarrouk (EC-TEL, 2019)

Towards a Taxonomy for Evaluating Societal Concerns of Contact Tracing Apps. - Thomas Welsh; Kaavya Rekanar; Manzar Abbas; Muslim Chochlov; Brian Fitzgerald 001; Liam Glynn; Kevin Johnson; John Laffey; Bairbre McNicholas; Bashar Nuseibeh; James O'Connell; Derek T. O'Keeffe; et al. (BESC, 2020)

From Linguistic Research Projects to Language Technology Platforms: A Case Study in Learner Data. - Annanda Sousa; Nicolas Ballier; Thomas Gaillat; Bernardo Stearns; Manel Zarrouk; Andrew J. Simpkin; Manon Bouyé (IWLTP@LREC, 2020)

Un prototype en ligne pour la prédiction du niveau de compétence en anglais des productions écrites (A prototype for web-based prediction of English proficiency levels in writings). - Thomas Gaillat; Nicolas Ballier; Annanda Sousa; Manon Bouyé; Andrew J. Simpkin; Bernardo Stearns; Manel Zarrouk (JEP-TALN-RECITAL (Demos), 2020)

Toward a Compare and Contrast Framework for COVID-19 Contact Tracing Mobile Applications: A Look at Usability. - Cristiano Storni; Damyanka Tsvyatkova; Ita Richardson; Jim Buckley; Manzar Abbas; Sarah Beecham; Muslim Chochlov; Brian Fitzgerald 001; Liam Glynn; Kevin Johnson; John Laffey; Bairbre McNicholas; et al. (HEALTHINF, 2021)

A Sensitivity Analysis of Biophysiological Responses of Stress for Wearable Sensors in Connected Health. - Talha Iqbal; Pau Redon-Lurbe; Andrew J. Simpkin; Muhammad Adnan Elahi; Sandra Ganly; William Wijns; Atif Shahzad (IEEE Access, 2021)

Stress Monitoring Using Wearable Sensors: A Pilot Study and Stress-Predict Dataset. - Talha Iqbal; Andrew J. Simpkin; Davood Roshan; Nicola Glynn; John Killilea; Jane Walsh; Gerard Molloy; Sandra Ganly; Hannah Ryman; Eileen Coen; Muhammad Adnan Elahi; William Wijns; et al. (Sensors, 2022)

Exploring a New Grammatico-functional Type of Measure as Part of a Language Learning Expert System. - Cyriel Mallart; Andrew J. Simpkin; Rémi Venant; Nicolas Ballier; Bernardo Stearns; Jen-Yu Li; Thomas Gaillat (BEA@ACL, 2023)

A new learner language data set for the study of English for Specific Purposes at university. - Cyriel Mallart; Nicolas Ballier; Jen-Yu Li; Andrew J. Simpkin; Bernardo Stearns; Rémi Venant; Thomas Gaillat (LDK, 2023)

Soft robot-mediated autonomous adaptation to fibrotic capsule formation for improved drug delivery. - Rachel Beatty; Keegan L. Mendez; Lucien H. J. Schreiber; Ruth Tarpey; William Whyte; Yi-Fan Evan Chang; Scott T. Robinson; Joanne O'dwyer; Andrew J. Simpkin; Joseph Tannian; Peter Dockery; Eimear B. Dolan; et al. (Sci. Robotics, 2023)

Assessing the validity of new paradigmatic complexity measures as criterial features for proficiency in L2 writings in English. - Cyriel Mallart; Andrew J. Simpkin; Nicolas Ballier; Paula Lissón; Rémi Venant; Jen-Yu Li; Bernardo Stearns; Thomas Gaillat (CoRR, 2025)

Analysing kinematic data from recreational runners using functional data analysis. - Edward Gunning; Steven Golovkine; Andrew J. Simpkin; Aoife Burke; Sarah Dillon; Shane Gore; Kieran Moran; Siobhan O'Connor; Enda White; Norma Bargary (Comput. Stat., 2025)