| Toward a combined tool to assist dermatologists in melanoma detection from dermoscopic images of pigmented skin lesions G Capdehourat, A Corez, A Bazzano, R Alonso, P Musé Pattern Recognition Letters 32 (16), 2187-2196, 2011 | 137 | 2011 |
| Deepmal-deep learning models for malware traffic detection and classification G Marín, P Caasas, G Capdehourat Data science–analytics and applications: proceedings of the 3rd …, 2021 | 85 | 2021 |
| Deep in the dark-deep learning-based malware traffic detection without expert knowledge G Marín, P Casas, G Capdehourat 2019 IEEE Security and Privacy Workshops (SPW), 36-42, 2019 | 43 | 2019 |
| Rawpower: Deep learning based anomaly detection from raw network traffic measurements G Marín, P Casas, G Capdehourat Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos, 75-77, 2018 | 41 | 2018 |
| Pigmented skin lesions classification using dermatoscopic images G Capdehourat, A Corez, A Bazzano, P Musé Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2009 | 38 | 2009 |
| DeepSec meets RawPower-deep learning for detection of network attacks using raw representations G Marín, P Casas, G Capdehourat ACM SIGMETRICS Performance Evaluation Review 46 (3), 147-150, 2019 | 17 | 2019 |
| Aguara: An improved face recognition algorithm through gabor filter adaptation C Aguerrebere, G Capdehourat, M Delbracio, M Mateu, A Fernández, ... 2007 IEEE Workshop on Automatic Identification Advanced Technologies, 74-79, 2007 | 14 | 2007 |
| Indoor localization using graph neural networks F Lezama, GG González, F Larroca, G Capdehourat 2021 IEEE URUCON, 51-54, 2021 | 13 | 2021 |
| Decentralized robust spectrum allocation for cognitive radio wireless mesh networks G Capdehourat, F Larroca, P Belzarena Ad Hoc Networks 36, 1-20, 2016 | 11 | 2016 |
| A nation-wide Wi-Fi RSSI dataset: Statistical analysis and resulting insights G Capdehourat, F Larroca, G Morales 2020 IFIP Networking Conference (Networking), 370-378, 2020 | 9 | 2020 |
| Large-scale Internet user behavior analysis of a nationwide K-12 education network based on DNS queries A Arriola, M Pastorini, G Capdehourat, E Grampín, A Castro International Conference on Computational Science and Its Applications, 776-791, 2020 | 8 | 2020 |
| MLSEC-benchmarking shallow and deep machine learning models for network security P Casas, G Marín, G Capdehourat, M Korczynski 2019 IEEE Security and Privacy Workshops (SPW), 230-235, 2019 | 8 | 2019 |
| Predictive Estimation of Wireless Link Performance from Medium Physical Parameters Using Support Vector Regression and k-Nearest Neighbors G Kremer, P Owezarski, P Berthou, G Capdehourat Traffic Monitoring and Analysis: 6th International Workshop, TMA 2014 …, 2014 | 8 | 2014 |
| Federated learning for data analytics in education C Fachola, A Tornaría, P Bermolen, G Capdehourat, L Etcheverry, ... Data 8 (2), 43, 2023 | 7 | 2023 |
| Predicting wireless rssi using machine learning on graphs C Rattaro, F Larroca, G Capdehourat 2021 IEEE URUCON, 372-376, 2021 | 7 | 2021 |
| Managing devices of a one-to-one computing educational program using an IoT infrastructure F Osimani, B Stecanella, G Capdehourat, L Etcheverry, E Grampín Sensors 19 (1), 70, 2018 | 7 | 2018 |
| Performance Analysis of Wi-Fi Networks based on IEEE 802.11 ax and the Coexistence with Legacy IEEE 802.11 n Standard F Frommel, G Capdehourat, B Rodríguez 2021 IEEE URUCON, 492-495, 2021 | 6 | 2021 |
| Mind the (QoE) gap: On the incompatibility of web and video QoE models in the wild M Seufert, N Wehner, V Wieser, P Casas, G Capdehourat 2020 16th International Conference on Network and Service Management (CNSM), 1-5, 2020 | 6 | 2020 |
| Museum accessibility through wi-fi indoor positioning A Bracco, F Grunwald, A Navcevich, G Capdehourat, F Larroca arXiv preprint arXiv:2008.11340, 2020 | 6 | 2020 |
| Análisis y diseño de Call centers G Capdehourat Santiago de Chile: IIEE, 2006 | 6 | 2006 |
