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Publikationen:

• Mofassir ul Islam Arif, Felix Wieland, Chiara Bianchin, Andre Hintsches, Katrin Lange, Mohsan Jameel, Lars Schmidt-Thieme (2022):
  Object Regression: Multi-Modal Data Enhanced Object Detection for Leasing Vehicle Return Assessment, in The International Conference on Digital Image Computing: Techniques and Applications (DICTA).
• 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 (2022):
  AI and Data-Driven Mobility at Volkswagen Financial Services AG, in arXiv.
• Yongho Kim, Hanna Lukashonak, Paweena Tarepakdee, Klavdia Zavalich, Mofassir ul Islam Arif (2021):
  Disturbing Target Values for Neural Network Regularization , in arXiv.
• Mofassir ul Islam Arif, Mohsan Jameel, Josif Grabocka , Lars Schmidt-Thieme (2020):
  Phantom Embeddings: Using Embeddings Space for Model Regularization in Deep Neural Networks , in LWDA.
• Mohsan Jameel, Mofassir ul Islam Arif, Andre Hintsches, Lars Schmidt-Thieme (2020):
  Automation of Leasing Vehicle Return Assessment Using Deep Learning Models, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020).
• Mofassir ul Islam Arif, Mohsan Jameel, Lars Schmidt-Thieme (2019):
  Directly Optimizing IoU for Bounding Box Localization, in 5th Asian Conference on Pattern Recognition.
• Mohsan Jameel, Josif Grabocka, Mofassir ul Islam Arif, Lars Schmidt-Thieme (2019):
  Ring-Star : A Sparse Topology for Faster ModelAveraging in Decentralized Parallel SGD , in In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (DMLE@ECML-PKDD 2019).
• Mofassir ul Islam Arif, Mauricio Camargo , Jan Forkel, Guilherme Holdack, Rafael Drumond, Nicolas Schilling, Tilman Hensch, Ulrich Hegerl, Lars Schmidt-Thieme (2018):
  Depression Diagnosis using Deep Convolutional Neural Networks , in Archives of Data Science, Series A.