Aldo Hernandez-Suarez

Orcid: 0000-0002-4867-2717

According to our database1, Aldo Hernandez-Suarez authored at least 16 papers between 2016 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
ReinforSec: An Automatic Generator of Synthetic Malware Samples and Denial-of-Service Attacks through Reinforcement Learning.
Sensors, February, 2023

Methodological Approach for Identifying Websites with Infringing Content via Text Transformers and Dense Neural Networks.
Future Internet, 2023

2022
FASSVid: Fast and Accurate Semantic Segmentation for Video Sequences.
Entropy, 2022

2021
A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT.
Sensors, 2021

Efficient Face Recognition System for Operating in Unconstrained Environments.
J. Imaging, 2021

2020
A Fast-RCNN Implementation for Human Silhouette Detection in Video Sequences.
Proceedings of the Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques, 2020

2019
Vehicle Counting in Video Sequences: An Incremental Subspace Learning Approach.
Sensors, 2019

Using Twitter Data to Monitor Natural Disaster Social Dynamics: A Recurrent Neural Network Approach with Word Embeddings and Kernel Density Estimation.
Sensors, 2019

An Efficient Botnet Detection Methodology using Hyper-parameter Optimization Trough Grid-Search Techniques.
Proceedings of the 7th International Workshop on Biometrics and Forensics, 2019

Automatic Malware Clustering using Word Embeddings and Unsupervised Learning.
Proceedings of the 7th International Workshop on Biometrics and Forensics, 2019

A Semi-supervised Learning Methodology for Malware Categorization using Weighted Word Embeddings.
Proceedings of the 2019 IEEE European Symposium on Security and Privacy Workshops, 2019

2018
Social Sentiment Sensor in Twitter for Predicting Cyber-Attacks Using <i>ℓ</i><sub>1</sub> Regularization.
Sensors, 2018

A Web Scraping Methodology for Bypassing Twitter API Restrictions.
CoRR, 2018

Can Twitter API Be Bypassed? A New Methodology for Collecting Chronological Information Without Restrictions.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018

2017
Predicting political mood tendencies based on Twitter data.
Proceedings of the 5th International Workshop on Biometrics and Forensics, 2017

2016
Security attack prediction based on user sentiment analysis of Twitter data.
Proceedings of the IEEE International Conference on Industrial Technology, 2016


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