The challenge of time series forecasting has been the focus of research in recent years, with
Transformer-based models using various self-attention mechanisms to uncover long-range …

As a prominent application of deep neural networks in financial literature, bank credit ratings
play a pivotal role in safeguarding global economic stability and preventing crises. In the …

Time series forecasting (TSF) is vital in fields like finance, economics, and meteorology. This
thesis extensively probes TSF, contributing to econometrics and deep learning. In this thesis …

Similar to many other journeys like Harry Potter's Hogwarts and Alice's wonderland, my Ph.
D. journey at the PRISME Laboratory, University of Orléans, INSA-CVL was full of …

I am delighted to submit my dissertation for accreditation to supervise research in the field of
signal processing. This dissertation provides an overview of the research I have conducted …