TPCx-HS on the Cloud! - Nicholas Wakou; Michael Woodside; Arkady Kanevsky; Fazal E. Rehman Khan; Mofassir ul Islam Arif (TPCTC, 2016)

Directly Optimizing IoU for Bounding Box Localization. - Mofassir ul Islam Arif; Mohsan Jameel; Lars Schmidt-Thieme (ACPR (1), 2019)

Ring-Star: A Sparse Topology for Faster Model Averaging in Decentralized Parallel SGD. - Mohsan Jameel; Josif Grabocka; Mofassir ul Islam Arif; Lars Schmidt-Thieme (PKDD/ECML Workshops (1), 2019)

Phantom Embeddings: Using Embeddings Space for Model Regularization in Deep Neural Networks. - Mofassir ul Islam Arif; Mohsan Jameel; Josif Grabocka; Lars Schmidt-Thieme (LWDA, 2020)

Automation of Leasing Vehicle Return Assessment Using Deep Learning Models. - Mohsan Jameel; Mofassir ul Islam Arif; Andre Hintsches; Lars Schmidt-Thieme (ECML/PKDD (4), 2020)

Disturbing Target Values for Neural Network Regularization. - Yongho Kim; Hanna Lukashonak; Paweena Tarepakdee; Klavdia Zavalich; Mofassir ul Islam Arif (CoRR, 2021)

A.I. and Data-Driven Mobility at Volkswagen Financial Services AG. - Shayan Jawed; Mofassir ul Islam Arif; Ahmed Rashed; Kiran Madhusudhanan; Shereen Elsayed; Mohsan Jameel; Alexei Volk; Andre Hintsches; Marlies Kornfeld; Katrin Lange; Lars Schmidt-Thieme (CoRR, 2022)

ConvMix: Combining Intermediate Latent Features in Deep Convolutional Neural Networks. - Mofassir ul Islam Arif; Johannes Burchert; Lars Schmidt-Thieme (SCIA (2), 2023)

Phantom Embeddings: Using Embedding Space for Model Regularization in Deep Neural Networks. - Mofassir ul Islam Arif; Mohsan Jameel; Josif Grabocka; Lars Schmidt-Thieme (CoRR, 2023)