Iker Pastor-López

Orcid: 0000-0002-3068-6248

Affiliations:
  • University of Deusto, Faculty of Engineering, Bilbao, Biscay, Spain (PhD 2013)


According to our database1, Iker Pastor-López authored at least 34 papers between 2012 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Deep learning applications on cybersecurity: A practical approach.
Neurocomputing, January, 2024

Autoencoder-Enhanced Clustering: A Dimensionality Reduction Approach to Financial Time Series.
IEEE Access, 2024

2023
Let's do it right the first time: Survey on security concerns in the way to quantum software engineering.
Neurocomputing, June, 2023

A Practical Approach on Performance Assessment of Federated Learning Algorithms for Defect Detection in Industrial Applications.
IEEE Access, 2023

Efficient Machine Learning on Edge Computing Through Data Compression Techniques.
IEEE Access, 2023

Discovering Mathematical Patterns Behind HIV-1 Genetic Recombination: A New Methodology to Identify Viral Features.
IEEE Access, 2023

Validating by Deep Learning an Efficient Method for Genomic Sequence Analysis: Genomic Spectrograms.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Bytecode-Based Android Malware Detection Applying Convolutional Neural Networks.
Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023

2022
Time Series Forecasting Using Artificial Neural Networks - A Model for the IBEX 35 Index.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

On the creation of a robotics software architecture for AI-based advanced applications.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021
On Combining Convolutional Autoencoders and Support Vector Machines for Fault Detection in Industrial Textures.
Sensors, 2021

Detecting malicious Android applications based on the network packets generated.
Neurocomputing, 2021

Quality assessment methodology based on machine learning with small datasets: Industrial castings defects.
Neurocomputing, 2021

Optimizing Communication Data Streams in Edge Computing Systems Using Bayesian Algorithms.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

Content-Based Authorship Identification for Short Texts in Social Media Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Fight Detection in Images Using Postural Analysis.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Deep Learning Applications on Cybersecurity.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Hybrid Deep Learning Approach for Efficient Outdoor Parking Monitoring in Smart Cities.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

The Neverending Story: Memory Corruption 30 Years Later.
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021

A Repeated Mistake is a Choice: Considering Security Issues and Risks in Quantum Computing from Scratch.
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021

2020
Predicting Enamel Layer Defects in an Automotive Paint Shop.
IEEE Access, 2020

A Real Time Vision System Based on Deep Learning for Gesture Based Human Machine Interaction.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Effective Bin Picking Approach by Combining Deep Learning and Point Cloud Processing Techniques.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019
Territorial innovation models: to be or not to be, that's the question.
Scientometrics, 2019

How IoT and computer vision could improve the casting quality.
Proceedings of the 9th International Conference on the Internet of Things, 2019

Network Traffic Analysis for Android Malware Detection.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

Surface Defect Modelling Using Co-occurrence Matrix and Fast Fourier Transformation.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

Can BlockChain Technology Provide Information Systems with Trusted Database? The Case of HyperLedger Fabric.
Proceedings of the Flexible Query Answering Systems - 13th International Conference, 2019

2016
Anomaly-based user comments detection in social news websites using troll user comments as normality representation.
Log. J. IGPL, 2016

2014
Anomalous User Comment Detection in Social News Websites.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

2013
Social News Website Moderation through Semi-supervised Troll User Filtering.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013

Enhanced Image Segmentation Using Quality Threshold Clustering for Surface Defect Categorisation in High Precision Automotive Castings.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013

Filtering Trolling Comments through Collective Classification.
Proceedings of the Network and System Security - 7th International Conference, 2013

2012
Automatic categorisation of comments in social news websites.
Expert Syst. Appl., 2012


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