Pinned Repositories
Classification-on-Wine-dataset
Shallow learning analysis, comparison of some basic classifiers on the Wine dataset using Sklearn
Default-Credit-Card-Prediction
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
DL-Radar-Detector-for-Complex-Automotive-Scenarios
DL-RTD: End-to-end CNN Radar Target Detection in Complex Automotive Scenarios
Domain-Adaptation-on-PACS-dataset
Implementation of Domain adaptation on PACS dataset using a modified version of Alexnet.
Examination-Timetabling-Problem
This project presents a heuristic to solve a simplified version of the examination timetabling problem.
Image-classification-techniques
Comparison CNNs (Alexnet, VGG-16, ResNet) for image classification on dataset Caltech-101. Transfer learning and data augmentation applied and compared results with the training from scratch.
Incremental-learning-on-CIFAR100
Reproduction of popular methods for class-incremental learning in image recognition and proposal of a new variant.
Lung-Cancer-Subtyping-using-GANs
Implementation Subtype-GAN in PyTorch working on multi-omics data. Unsupervised Image segmentation applied to SVS images.
psnerf
PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo (ECCV 2022)
Sentiment-Analysis-on-Tripadvisor-reviews
Sentiment analysis, analyzing user’s textual reviews, to perform a binary classification task (positive or negative mood). Designed a machine learning pipeline able to achieve an F1 score of 96.7% on unseen reviews.
robertofranceschi's Repositories
robertofranceschi/Domain-Adaptation-on-PACS-dataset
Implementation of Domain adaptation on PACS dataset using a modified version of Alexnet.
robertofranceschi/Default-Credit-Card-Prediction
Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
robertofranceschi/Image-classification-techniques
Comparison CNNs (Alexnet, VGG-16, ResNet) for image classification on dataset Caltech-101. Transfer learning and data augmentation applied and compared results with the training from scratch.
robertofranceschi/Sentiment-Analysis-on-Tripadvisor-reviews
Sentiment analysis, analyzing user’s textual reviews, to perform a binary classification task (positive or negative mood). Designed a machine learning pipeline able to achieve an F1 score of 96.7% on unseen reviews.
robertofranceschi/DL-Radar-Detector-for-Complex-Automotive-Scenarios
DL-RTD: End-to-end CNN Radar Target Detection in Complex Automotive Scenarios
robertofranceschi/Incremental-learning-on-CIFAR100
Reproduction of popular methods for class-incremental learning in image recognition and proposal of a new variant.
robertofranceschi/Examination-Timetabling-Problem
This project presents a heuristic to solve a simplified version of the examination timetabling problem.
robertofranceschi/Classification-on-Wine-dataset
Shallow learning analysis, comparison of some basic classifiers on the Wine dataset using Sklearn
robertofranceschi/Lung-Cancer-Subtyping-using-GANs
Implementation Subtype-GAN in PyTorch working on multi-omics data. Unsupervised Image segmentation applied to SVS images.
robertofranceschi/psnerf
PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo (ECCV 2022)
robertofranceschi/robertofranceschi
robertofranceschi/robertofranceschi.github.io
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
robertofranceschi/simulation-and-performance-evaluation
Repo