Dr Georgina Cosma (@gcosma)
github

gcosma

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Top repositories

1

PSO-FS

Particle Swarm Optimisation for Feature Selection
MATLAB
17
star
2

Deep-FS

Deep-Feature Selection
MATLAB
14
star
3

GA-FS

Genetic Algorithm for Feature Selection
MATLAB
13
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4

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.
Python
9
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5

EBCS-FS

Extended Binary Cuckoo Search for Feature Selection
MATLAB
6
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6

ACO-FS

ACO Feature Selection
MATLAB
6
star
7

DeepLearningTutorials

Deep Learning Tutorials in Colab
Jupyter Notebook
6
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8

EnsembleVoltageStability

On-line voltage stability monitoring using an Ensemble AdaBoost classifier
HTML
5
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9

TAGA

TAGA: Tabu Asexual Genetic Algorithm Embedded in a Filter/Filter Feature Selection Approach for High-dimensional Data
MATLAB
5
star
10

CalcStatPowerInPy

Jupyter Notebook
3
star
11

ClanBasedCulturalAlgorithFS

Clan-based Cultural Algorithm for Feature Selection
MATLAB
3
star
12

DeepGesture

Hand gesture recognition using an adapted convolutional neural network with data augmentation
HTML
2
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13

SleepStageCNN

Interpreting the Filters in the First Layer of a Convolutional Neural Network for Sleep Stage Classification
MATLAB
2
star
14

BiomedDeepLearning

A Hybrid Model for Classification of Biomedical Data using Feature Filtering and a Convolutional Neural Network
HTML
2
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15

Neuro-FuzzyPCaPlosOne

Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model
MATLAB
1
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16

AIethics

AI ethics sources of info
1
star
17

GeneralisationPowerAnalysis

Generalisation Power Analysis for finding a stable set of features using evolutionary computation feature selection algorithms
MATLAB
1
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18

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
Jupyter Notebook
1
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