| Classifying Illegal Activities on Tor Network Based on Web Textual Contents MW Al Nabki, E Fidalgo, E Alegre, I de Paz Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 132 | 2017 |
| Torank: Identifying the most influential suspicious domains in the tor network MW Al-Nabki, E Fidalgo, E Alegre, L Fernández-Robles Expert Systems with Applications 123, 212-226, 2019 | 99 | 2019 |
| Phishing URL detection: A real-case scenario through login URLs M Sánchez-Paniagua, EF Fernández, E Alegre, W Al-Nabki, ... IEEE Access 10, 42949-42960, 2022 | 37 | 2022 |
| Improving named entity recognition in noisy user-generated text with local distance neighbor feature MW Al-Nabki, E Fidalgo, E Alegre, L Fernandez-Robles Neurocomputing 382, 1-11, 2020 | 28 | 2020 |
| File Name Classification Approach to Identify Child Sexual Abuse. MW Al Nabki, E Fidalgo, E Alegre, R Alaíz-Rodríguez ICPRAM, 228-234, 2020 | 22 | 2020 |
| Detecting Emerging Products in TOR Network Based on K-Shell Graph Decomposition MW Al Nabki, E Fidalgo, E Alegre, V González-Castro Actas de las Terceras Jornadas Nacionales de Investigación en Ciberseguridad …, 2017 | 17 | 2017 |
| Darkner: A platform for named entity recognition in tor darknet J Al-Nabki, M.W., Fidalgo, E. and Velasco Mata Jornadas Nacionales de Investigación en Ciberseguridad (JNIC2019) 1, 279--280, 2019 | 8* | 2019 |
| Building the European social innovation database with natural language processing and machine learning A Gök, R Antai, N Milošević, W Al-Nabki Scientific Data 9 (1), 697, 2022 | 6 | 2022 |
| Classifying Pastebin content through the generation of PasteCC labeled dataset A Riesco, E Fidalgo, MW Al-Nabki, F Jáñez-Martino, E Alegre Hybrid Artificial Intelligent Systems: 14th International Conference, HAIS …, 2019 | 6 | 2019 |
| Enhancing text recognition on Tor Darknet images P Blanco Medina, E Fidalgo, E Alegre, MW Al-Nabki, D Chaves XL Jornadas de Automática, 828-835, 2019 | 6 | 2019 |
| Detecting textual information in images from onion domains using text spotting PB Medina, EF Fernández, EA Gutiérrez, MW Al Nabki XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018, 975-982, 2018 | 6 | 2018 |
| Extractive text summarization in dark web: A preliminary study A Joshi, E Fidalgo, E Alegre, MW Al Nabki International Conference of Applications of Intelligent Systems, 2018 | 6 | 2018 |
| Improving named entity recognition in tor darknet with local distance neighbor feature MW Al-Nabki, F Janez-Martino, RA Vasco-Carofilis, E Fidalgo, ... arXiv preprint arXiv:2005.08746, 2020 | 5 | 2020 |
| Evaluating performance of an adult pornography classifier for child sexual abuse detection MW Al-Nabki, E Fidalgo, RA Vasco-Carofilis, F Janez-Martino, ... arXiv preprint arXiv:2005.08766, 2020 | 4 | 2020 |
| Content-based features to rank influential hidden services of the tor darknet MW Al-Nabki, E Fidalgo, E Alegre, D Chaves arXiv preprint arXiv:1910.02332, 2019 | 4 | 2019 |
| Short text classification approach to identify child sexual exploitation material MHDW Al-Nabki, E Fidalgo, E Alegre, R Alaiz-Rodriguez Scientific Reports 13 (1), 16108, 2023 | 2 | 2023 |
| Color SIFT descriptors to categorize illegal activities in images of onion domains D Matilla, V González Castro, L Fernández Robles, E Fidalgo, ... Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de Septiembre de 2018, 2018 | 2 | 2018 |
| Supervised ranking approach to identify infLuential websites in the darknet MHDW Al Nabki, E Fidalgo, E Alegre, D Chaves Applied Intelligence 53 (19), 22952-22968, 2023 | 1 | 2023 |
| Detecting textual information in images from onion domains using text spotting P Blanco, E Fidalgo, E Alegre, MW Al-Nabki XXXIX Jornadas de Automática, 982-975, 2018 | 1 | 2018 |
| Author Correction: Short text classification approach to identify child sexual exploitation material MHDW Al-Nabki, E Fidalgo, E Alegre, R Alaiz-Rodriguez Scientific Reports 13 (1), 17840, 2023 | | 2023 |
Eduardo FIDALGOAssociate Professor - Universidad de LeónDirección de correo verificada de unileon.es
