205 results on '"Pastor-López, Iker"'
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2. The Third Codon Nucleotide’s Role in Genetic Recombination Within SARS-CoV-2 Spike Protein: A Pilot Study
3. Use of GAN Models and CNN Heatmaps in Malware
4. Validating by Deep Learning an Efficient Method for Genomic Sequence Analysis: Genomic Spectrograms
5. Bytecode-Based Android Malware Detection Applying Convolutional Neural Networks
6. Deep learning applications on cybersecurity: A practical approach
7. The Neverending Story: Memory Corruption 30 Years Later
8. Hybrid Deep Learning Approach for Efficient Outdoor Parking Monitoring in Smart Cities
9. Fight Detection in Images Using Postural Analysis
10. Content-Based Authorship Identification for Short Texts in Social Media Networks
11. Detecting malicious Android applications based on the network packets generated
12. Quality assessment methodology based on machine learning with small datasets: Industrial castings defects
13. A Real Time Vision System Based on Deep Learning for Gesture Based Human Machine Interaction
14. Effective Bin Picking Approach by Combining Deep Learning and Point Cloud Processing Techniques
15. BlockChain Platforms in Financial Services: Current Perspective
16. Surface Defect Modelling Using Co-occurrence Matrix and Fast Fourier Transformation
17. Network Traffic Analysis for Android Malware Detection
18. Classification of SARS-CoV-2 sequences as recombinants via a pre-trained CNN and identification of a mathematical signature relative to recombinant feature at Spike, via interpretability.
19. An innovative framework for supporting content-based authorship identification and analysis in social media networks.
20. Territorial innovation models: to be or not to be, that’s the question
21. Anomalous User Comment Detection in Social News Websites
22. Social News Website Moderation through Semi-supervised Troll User Filtering
23. Enhanced Image Segmentation Using Quality Threshold Clustering for Surface Defect Categorisation in High Precision Automotive Castings
24. Filtering Trolling Comments through Collective Classification
25. An Objective Metallographic Analysis Approach Based on Advanced Image Processing Techniques
26. Discovering Mathematical Patterns Behind HIV-1 Genetic Recombination: A New Methodology to Identify Viral Features
27. Automatic categorisation of comments in social news websites
28. Estrategia de selección de hardware y algoritmos de inteligencia artificial en entornos ‘edge computing‘.
29. The Neverending Story: Memory Corruption 30 Years Later
30. On Combining Convolutional Autoencoders and Support Vector Machines for Fault Detection in Industrial Textures
31. Filtering Trolling Comments through Collective Classification
32. Heterogeneidad sectorial en la digitalización empresarial en Euskadi
33. How IoT and computer vision could improve the casting quality
34. Current Trends for Blockchain and Smart Contracts (In Financial Services)
35. Aplicaciones de aprendizaje profundo en procesos productivos.
36. How IoT and computer vision could improve the casting quality.
37. Anomaly-based user comments detection in social news websites using troll user comments as normality representation
38. Tendencias y barreras actuales de la inteligencia artificial aplicada.
39. Visión artificial basada en aprendizaje automático para la categorización de defectos superficiales en fundición.
40. Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods
41. Earthquake Prediction in California Using Feature Selection Techniques
42. HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting
43. Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach
44. Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology
45. Forecasting a Fashion Collection with the Optimization of Costs of Overestimation and Underestimation of Demand
46. Hybrid Orbit Propagator Based on Neural Networks. Multivariate Time Series Forecasting Approach
47. An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting
48. Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning
49. Discrete-Event-Simulation Based on Machine Learning Predictive Agents
50. Enhancing Short-Term Velocity Forecasting Models by Using ML Models and Traffic Patterns Information
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