Hany Alashwal

Orcid: 0000-0002-5721-5104

According to our database1, Hany Alashwal authored at least 22 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Impairment of LTP, LTD and Metaplasticity During the Early Stages of Alzheimer'S Disease: a Computational Study.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

A Neurocomputational Analysis Review of Dorsolateral Prefrontal Cortex rTMS Treatments of Neurological Disorder.
Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics, 2023

Leveraging Nucleotide Dependencies for Improved mRNA Vaccine Degradation Prediction.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022
A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification.
Frontiers Artif. Intell., 2022

A Nonsynaptic Memory Based Neural Network for Hand-Written Digit Classification Using an Explainable Feature Extraction Method.
Proceedings of the ICISDM 2022: 2022 the 6th International Conference on Information System and Data Mining, Silicon Valley, CA, USA, May 27, 2022

Optimizing Ethanol Production in Escherichia Coli Using a Hybrid of Particle Swarm Optimization and Artificial Bee Colony.
Proceedings of the 2022 The 6th International Conference on Advances in Artificial Intelligence, 2022

Using Self-labeling and Co-Training to Enhance Bots Labeling in Twitter.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2021
Hybrid feature selection approach to identify optimal features of profile metadata to detect social bots in Twitter.
Soc. Netw. Anal. Min., 2021

Neural Substrates of the Drift-Diffusion Model in Brain Disorders.
Frontiers Comput. Neurosci., 2021

Real Time Detection of Social Bots on Twitter Using Machine Learning and Apache Kafka.
Proceedings of the 5th Cyber Security in Networking Conference, 2021

2020
Latent Class and Transition Analysis of Alzheimer's Disease Data.
Frontiers Comput. Sci., 2020

ECG-based Arrhythmia Classification & Clinical Suggestions: An Incremental Approach of Hyperparameter Tuning.
Proceedings of the SITA'20: Theories and Applications, 2020

Characteristics of Similar-Context Trending Hashtags in Twitter: A Case Study.
Proceedings of the Web Services - ICWS 2020, 2020

Feature Selection for the Classification of Alzheimer's Disease Data.
Proceedings of the ICSIM '20: The 3rd International Conference on Software Engineering and Information Management, 2020

Utilizing cost-sensitive machine learning classifiers to identify compounds that inhibit Alzheimer's APP translation.
Proceedings of the ICCBDC '20: 2020 4th International Conference on Cloud and Big Data Computing, 2020

2019
The Application of Unsupervised Clustering Methods to Alzheimer's Disease.
Frontiers Comput. Neurosci., 2019

2018
Applying Big Data Methods to Understanding Human Behavior and Health.
Frontiers Comput. Neurosci., 2018

Molecular Docking and Dynamic Simulation of AZD3293 and Solanezumab Effects Against BACE1 to Treat Alzheimer's Disease.
Frontiers Comput. Neurosci., 2018

Methods of Creating Knowledge Graph by Linking Biological Databases.
Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

Detecting Social Bots on Twitter: A Literature Review.
Proceedings of the 2018 International Conference on Innovations in Information Technology (IIT), 2018

Improving the Detection of Protein Complexes by Predicting Novel Missing Interactome Links in the Protein-Protein Interaction Network.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016
Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme.
Comput. Biol. Medicine, 2016


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