DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. - Hassan Ghasemzadeh Mohammadi; Rahil Arshad; Sneha Rautmare; Suraj Manjunatha; Maurice Kuschel; Felix Paul Jentzsch; Marco Platzner; Alexander Boschmann; Dirk Schollbach (ETFA, 2020)

FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. - Hassan Ghasemzadeh Mohammadi; Felix Paul Jentzsch; Maurice Kuschel; Rahil Arshad; Sneha Rautmare; Suraj Manjunatha; Marco Platzner; Alexander Boschmann; Dirk Schollbach (PKDD/ECML Workshops (1), 2021)

Geodesic-Based Relaxation For Deep Canonical Correlation Analysis. - Maurice Kuschel; Timothy Marrinan; Tanuj Hasija (MLSP, 2023)

Developing a deep canonical correlation-based technique for seizure prediction. - Solveig Vieluf; Tanuj Hasija; Maurice Kuschel; Claus Reinsberger; Tobias Loddenkemper (Expert Syst. Appl., 2023)

Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning. - Maurice Kuschel; Tanuj Hasija; Timothy Marrinan (ICASSP, 2024)

Explaining Representations in Correlation-based Deep Multiview Representation Learning. - Maurice Kuschel; Amr Alkhatib; Tanuj Hasija; Henrik Boström (ICASSP, 2025)

Improving wearable-based seizure prediction by feature fusion using an explainable growing network. - Tanuj Hasija; Maurice Kuschel; Michele Jackson; Stephanie Dailey; Henric Menne; Claus Reinsberger; Solveig Vieluf; Tobias Loddenkemper (Artif. Intell. Medicine, 2025)