Preictal onset detection through unsupervised clustering for epileptic seizure prediction. - Alessio Quercia; Thomas Frick; Fabian Emanuel Egli; Nicholas Pullen; Isabelle Dupanloup; Jianbin Tang; Umar Asif; Stefan Harrer; Thomas Brunschwiler (ICDH, 2021)

SGD Biased towards Early Important Samples for Efficient Training. - Alessio Quercia; Abigail Morrison; Hanno Scharr; Ira Assent (ICDM, 2023)

Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation. - Richard D. Paul; Alessio Quercia; Vincent Fortuin; Katharina Nöh; Hanno Scharr (CoRR, 2024)

Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations. - Xin Liu; Mario Rüttgers; Alessio Quercia; Romain Egele; Elisabeth Pfaehler; Rushikesh Shende; Marcel Aach; Wolfgang Schröder 001; Prasanna Balaprakash; Andreas Lintermann (Future Gener. Comput. Syst., 2024)

MRI Reconstruction with Regularized 3D Diffusion Model (R3DM). - Arya Bangun; Zhuo Cao; Alessio Quercia; Hanno Scharr; Elisabeth Pfaehler (WACV, 2025)

Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks. - Alessio Quercia; Erenus Yildiz; Zhuo Cao; Kai Krajsek; Abigail Morrison; Ira Assent; Hanno Scharr (WACV, 2025)

1LoRA: Summation Compression for Very Low-Rank Adaptation. - Alessio Quercia; Zhuo Cao; Arya Bangun; Richard D. Paul; Abigail Morrison; Ira Assent; Hanno Scharr (CoRR, 2025)