SURF (Speeded Up Robust Features)

Using features-matching algorithm for tracking object

Generalized Time Series Decomposition (GTSD) is an experimental method of generating and using large recurrence plots to self identify and segment away features of an unknown time series.

Kialo Scraper used for "Argumentative-debates" project. Edited by @FedeSpu

A solution for humor detection in binary data, using python and some classification algorithms such as Naive Bayes, KNN, SVM, Decision Trees.

Thesis: "Autocalibration of monocular cameras for autonomous driving scenarios", carried out in collaboration with Luxoft. This repository contains all the related code and the two implemented solution pipelines for Structure from Motion (SfM) implementation.

A Python library that allows easy extraction of a variety of text units within texts...

FeatVIS: High dimensional feature space visualization

Benchmarks on various datasets for music analysis of symbolic scores

Manipulation of the 102 flowers dataset

This repository contains all the code developed with the aim of training a machine learning model useful for recognizing whether a fingerprint image is a spoofed or original one.

Argument classification with BERT plus contextual and structural features as text for ICONIP 2022.

This sentiment analysis project extracts features such as content length, tokens, hashtags, bad words, and various emojis. It also includes word features. Preprocessing steps include removing stop words, non-Arabic characters, consecutive redundant characters, and stemming to improve the models' accuracy in classifying the tweets. Max accuracy 88%.

Little addon for Feature Detection and Image Tracking using OPENCV 3.4 and openFrameworks

The objective of this work is to detect the cell phone and/or camera used by a person in restricted areas. The paper is based on intensive image processing techniques, such as, features extraction and image classification. The dataset of images is generated with cell phone camera including positive (with cell phone) and negative (without cell ph…

Classifying a person's actions (opening right hand, opening left hand, opening both hands, closing both hands) based on real motor imagery electroencephalogram (EEG) data on an STM32 microcontroller and the Gapuino board using Python and C++, achieved classification accuracy of 40%

Developed an image search and retrieval system based on color, feature and shape.

Object Classification is one of the most significant tasks whose development is constantly growing in the field of deep learning research. The objective of this study is the development of neural architectures for the classification of images (of fruits and vegetables) contained within the Fruits-360 dataset. The methodological approach adopted …

machine learning

Spatio-temporal features extraction that measure the stabilty. The proposed method is based on a compression algorithm named Run Length Encoding. The workflow of the method is presented bellow.