A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP
Lightweight Machine Learning Classics with R (Book Draft)
Star Tracker without a Star Database
My thesis 🏅
Numerical Linear Algebra meets Machine Learning - PSE Project
BSc Thesis at FER-2019/20 led by doc. dr. sc. Marko Čupić
Subject classification of texts in Polish
Classifies time series data using ARMA modelling and kernel techniques on the Grassmann manifold
Classification on gene chips
My PhD thesis: Regression modelling using priors depending on Fisher information covariance kernels (I-priors)
LaTex source code for the research paper "Systematic Misestimation of Machine Learning Performance in Neuroimaging Studies of Depression" from Flint, Cearns, et al. 2021.
Classification of EEG signals using different AI/ML models
Classification on gene diseases using machine learning
Signs Detector is a project created for master's thesis entitled Road sign recognition for mobile devices
Progetto sviluppato per il corso di Data Mining and Organization basato sullo studio di un database legato ad alcuni studenti iscritti al corso di Informatica dell'Università di Firenze.
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