E-LIB Suche - Ergebnisse für: Abdelhamid, Neda

1

Managerial insights for AI/ML implementation: a playbook fo..:

Abonamah, Abdullah A. ; Abdelhamid, Neda
Discover Artificial Intelligence. 4 (2024) 1 - p. , 2024

Link: https://doi.org/10.1007/..

2

Assessing Autistic Traits in Toddlers Using a Data-Driven A..:

Abdelhamid, Neda ; Thind, Rajdeep ; Mohammad, Heba.
Bioengineering. 10 (2023) 10 - p. 1131 , 2023

Link: https://doi.org/10.3390/..

3

Autism screening: an unsupervised machine learning approach:

Thabtah, Fadi ; Spencer, Robinson ; Abdelhamid, Neda...
Health Information Science and Systems. 10 (2022) 1 - p. , 2022

Link: https://doi.org/10.1007/..

4

Exploring feature selection and classification methods for ..:

Spencer, Robinson ; Thabtah, Fadi ; Abdelhamid, Neda.
DIGITAL HEALTH. 6 (2020) - p. 205520762091477 , 2020

Link: https://doi.org/10.1177/..

5

NBA Game Result Prediction Using Feature Analysis and Machi..:

Thabtah, Fadi ; Zhang, Li ; Abdelhamid, Neda
Annals of Data Science. 6 (2019) 1 - p. 103-116 , 2019

Link: https://doi.org/10.1007/..

6

Patient Discharge Classification Using Machine Learning Tec..:

Gramaje, Anthony ; Thabtah, Fadi ; Abdelhamid, Neda.
Annals of Data Science. 8 (2019) 4 - p. 755-767 , 2019

Link: https://doi.org/10.1007/..

7

A machine learning autism classification based on logistic ..:

Thabtah, Fadi ; Abdelhamid, Neda ; Peebles, David
Health Information Science and Systems. 7 (2019) 1 - p. , 2019

Link: https://doi.org/10.1007/..

8

A visualization cybersecurity method based on features' dis..:

AlShboul, Rabah ; Thabtah, Fadi ; Abdelhamid, Neda.
Computers & Security. 77 (2018) - p. 289-303 , 2018

Link: https://doi.org/10.1016/..

9

Multi-label rules for phishing classification:

Abdelhamid, Neda
Applied Computing and Informatics. 11 (2015) 1 - p. 29-46 , 2015

Link: https://doi.org/10.1016/..

10

Phishing detection based Associative Classification data mi..:

Abdelhamid, Neda ; Ayesh, Aladdin ; Thabtah, Fadi
Expert Systems with Applications. 41 (2014) 13 - p. 5948-5959 , 2014

Link: https://doi.org/10.1016/..

11

Autism screening: an unsupervised machine learning approach:

Thabtah, Fadi ; Spencer, Robinson ; Abdelhamid, Neda...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458819/. , 2022

Link: http://www.ncbi.nlm.nih...

12

Data Imbalance in Autism Pre-Diagnosis Classification Syste..:

Abdelhamid, Neda ; Padmavathy, Arun ; Peebles, David..
Abdelhamid , N , Padmavathy , A , Peebles , D , Thabtah , F & Goulder-Horobin , D 2020 , ' Data Imbalance in Autism Pre-Diagnosis Classification Systems : An Experimental Study ' , Journal of Information and Knowledge Management , vol. 19 , no. 1 , 2040014 . https://doi.org/10.1142/S0219649220400146. , 2020

Link: https://pure.hud.ac.uk/e..

13

Exploring feature selection and classification methods for ..:

Spencer, Robinson ; Thabtah, Fadi ; Abdelhamid, Neda.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133070/. , 2020

Link: http://www.ncbi.nlm.nih...

14

A machine learning autism classification based on logistic ..:

Thabtah, Fadi ; Abdelhamid, Neda ; Peebles, David
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545188/. , 2019

Link: http://www.ncbi.nlm.nih...

15

A machine learning autism classification based on logistic ..:

Thabtah, Fadi ; Abdelhamid, Neda ; Peebles, David
Thabtah , F , Abdelhamid , N & Peebles , D 2019 , ' A machine learning autism classification based on logistic regression analysis ' , Health Information Science and Systems , vol. 7 , no. 1 , 12 . https://doi.org/10.1007/s13755-019-0073-5. , 2019

Link: https://pure.hud.ac.uk/e..