classifiers

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

A Zeek script to generate features based on timing, volume and metadata for traffic classification.

All Machine Learning Algorithms

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Fast and accurate sequence demultiplexing

Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.

ACL 2021 paper "Style is NOT a single variable: Case Studies for Cross-Style Language Understanding " by Dongyeop Kang and Eduard Hovy

Library for computing classifier Learning Curves & iPython notebooks to improve your learning curve for using Learning Curves for ML research and practice!

ObjectDetector uses OpenCV Haar cascade classifiers to detect different objects in images and videos with Python. For now, this repository includes my trained haar cascade classifier for detecting cars, the default haar cascade classifier for human faces (haarcascade_frontalface_default), a classifier for bananas from CodingRobin and a classifier for wallclocks which are used and tested in programs, detecting the objects from image/video, comparison between different human body parts classifiers and some other programs, which (will) help training the classifiers (for example, a program downloading the "cat box" synset images from ImageNet).

Machine Learning Modelling On Regression & Classification Problems

The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.

Deploy image classifier on a static website using javascript.

This is an official Leaderboard for the RuSentRel-1.1 dataset originally described in paper (arxiv:1808.08932)

Various classifiers using bayesian networks, for Knowledge Representation class at UNIBO

Making a dataset of poems and try categorising them in 4 genres using two different classifiers.

Fake News Detection on Liar dataset

Following tutorials from Josh Gordon.

🏀 Hardcoded ML classifiers from scratch to create predictive models on the outcomes of NBA games!

A convolutional neural network for human emotion classification

😨 Detects faces by using OpenCV which is computer vision interface library or platform like Matlab. OpenCV provides classifiers for detecting a different type of objects by using a different kind of sensors and cameras.