Subjective versus objective: classifying analytical models for productive heterogeneous performance prediction. - Vivek K. Pallipuram; Melissa C. Smith; Nilim Sarma; Ranajeet Anand; Edwin Weill; Karan Sapra (J. Supercomput., 2015)

Deep learning in the automotive industry: Applications and tools. - André Luckow; Matthew Cook 004; Nathan Ashcraft; Edwin Weill; Emil Djerekarov; Bennie Vorster (IEEE BigData, 2016)

Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing. - André Luckow; Ken Kennedy; Marcin Ziolkowski; Emil Djerekarov; Matthew Cook 004; Edward B. Duffy; Michael Schleiss; Bennie Vorster; Edwin Weill; Ankit Kulshrestha; Melissa C. Smith (IEEE BigData, 2018)

Vehicle Re-identification: an Efficient Baseline Using Triplet Embedding. - Ratnesh Kumar 004; Edwin Weill; Farzin Aghdasi; Parthasarathy Sriram (IJCNN, 2019)

A Strong and Efficient Baseline for Vehicle Re-Identification Using Deep Triplet Embedding. - Ratnesh Kumar 004; Edwin Weill; Farzin Aghdasi; Parthasarathy Sriram (J. Artif. Intell. Soft Comput. Res., 2020)