Innovative Technical Creativity Methodology for Bio-Inspired Design. - Pierre-Emmanuel Fayemi; Martin Gilles; Claude Gazo (TFC, 2018)

Design Entity Recognition for Bio-inspired Design Supervised State of the Art. - Davide Russo; Pierre-Emmanuel Fayemi; Matteo Spreafico; Giacomo Bersano (TFC, 2018)

Application of TRIZ and Innovation Management Theory on Decision Support for Transport Infrastructure. - Giacomo Bersano; Pierre-Emmanuel Fayemi (TFC, 2019)

Challenges of Stream Learning for Predictive Maintenance in the Railway Sector. - Minh-Huong Le Nguyen; Fabien Turgis; Pierre-Emmanuel Fayemi; Albert Bifet (IoT Streams/ITEM@PKDD/ECML, 2020)

Continuous Health Monitoring of Machinery using Online Clustering on Unlabeled Data Streams. - Minh-Huong Le Nguyen; Fabien Turgis; Pierre-Emmanuel Fayemi; Albert Bifet (IEEE Big Data, 2022)

An ILP for scheduling rolling stock maintenance activities under operational and logistical constraints. - Pietro Folco; Abderrahim Sahli; Sana Belmokhtar Berraf; Laurent Bouillaut; Pierre-Emmanuel Fayemi; Fabien Turgis (CoDIT, 2023)

Exploring the potentials of online machine learning for predictive maintenance: a case study in the railway industry. - Minh-Huong Le Nguyen; Fabien Turgis; Pierre-Emmanuel Fayemi; Albert Bifet (Appl. Intell., 2023)