gcosma Goto Github PK

aco-fs

ACO Feature Selection

adaboostcnn

Taherkhani, A, Cosma, G, McGinnity, M (2020) AdaBoost-CNN: an adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning, Neurocomputing, 404, pp.351-366, ISSN: 0925-2312. DOI: 10.1016/j.neucom.2020.03.064.

ai-soco

Official FIRE 2020 Authorship Identification of SOurce COde (AI-SOCO) task repository containing dataset, evaluation tools and baselines

aiethics

AI ethics sources of info

bert-solr-search

Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU

bhi-missing-data

code for BHI missing data paper

biomeddeeplearning

A Hybrid Model for Classification of Biomedical Data using Feature Filtering and a Convolutional Neural Network

calcstatpowerinpy

clanbasedculturalalgorithfs

Clan-based Cultural Algorithm for Feature Selection

cprd_multimorbidity_codelists

deep-fs

Deep-Feature Selection

deepgesture

Hand gesture recognition using an adapted convolutional neural network with data augmentation

deeplearningtutorials

Deep Learning Tutorials in Colab

ebcs-fs

Extended Binary Cuckoo Search for Feature Selection

ensemblevoltagestability

On-line voltage stability monitoring using an Ensemble AdaBoost classifier

fyp-news-summary

A abstractive news summary generator. Taking the latest news from the internet and creating summary based on that.

ga-fs

Genetic Algorithm for Feature Selection

generalisationpoweranalysis

Generalisation Power Analysis for finding a stable set of features using evolutionary computation feature selection algorithms

hands-on-natural-language-processing-with-python

Hands On Natural Language Processing with Python, published by Packt

hands-on-python-natural-language-processing

PacKt NLP Book

i-sirchpapers

Code for the I-SIRch summarisation and topic modelling papers

ieee_access_mhealth

Python code for the paper entitled "Feature Extraction and Classification using Leading Eigenvectors: Applications to Biomedical and Multi-Modal mHealth Data", IEEE Access

inpars

Inquisitive Parrots for Search

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning-model-interrogation

Interrogate the performance of machine learning models using instance hardness measures and difficulty-based incremental evaluations.

medcattrainer

A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.

medsecid

Baseline model for the MedSecId paper

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

mmu

Source Code for Multi-Modal Unparing Framework

neuro-fuzzypcaplosone

Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model