Daniel Gibert Llauradó
Descarregar PdfDades personals-contacte / Datos personales-contacto / Personal information-contact
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Nom/Nombre/Name: |
Daniel Gibert Llauradó |
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Categoria/Categoría/Category: |
Investigador predoctoral / Investigador predoctoral / Predoctoral researcher |
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Àrea/Área/Area: |
Intel·ligència artificial / Inteligencia Artificial / Artificial Intelligence |
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Departament/Departamento/Department: |
Enginyeria Informàtica i Disseny Digital / Ingeniería Informática y Diseño Digital / Computer Engineering and Digital Design |
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Centre/Centro/Center: |
Escola Politècnica Superior / Escuela Politécnica Superior/ Polytechnic School |
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Despaxt/Despacho/Office: |
Campus de Cappont. Edifici EPS. Despatx 3.24 / Campus de Cappont. Edificio EPS. Despacho 3.24/ Campus of Cappont. EPS Building. Office 3.24 |
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+34 973 70 32 64 |
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Code ORCID: |
Formació acadèmica / Formación académica / Academic training
- Engineria Informàtica (UdL)
- Màster en Intel·ligència Artificial (UPC)
- Ingeniería Informática (UdL)
- Màster en Intel·ligència Artificial (UPC)
- Computer Science Engineering (UdL)
- Master in Artificial Intelligence (UPC)
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Experiència professional / Experiencia profesional / Professional experience
- Analista de dades, Blueliv, 2017-2018
- Analista de datos, Blueliv, 2017-2018
Docència / Docencia / Teaching
- Grau en Enginyeria Informàtica
- Grado en Ingeniería Informática
Gestió / Gestión / Management
Recerca / Investigación / Research
Àmbit de recerca / Ambito de investigación / Research area
- ntel·ligència artificial, Aprenentatge automàtic
- Inteligencia artificial, Aprendizaje automático
- Artificial Intelligence, Machine Learning
Activitats de recerca / Actividades de investigación / Research activities
Participació en projectes d’investigació: TIN2015-71799-C2-2-P
Publications:
GIBERT, D., MATEU, C., PLANES, J., SOLIS, D., & VICENS, R.
(2017, October). Convolutional neural networks for classification of malware assembly code. In Recent Advances in Artificial Intelligence Research and Development: Proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence, Deltebre, Terres de L'Ebre, Spain, October 25-27, 2017 (Vol. 300, p. 221). IOS Press.
Gibert, D., Mateu, C., Planes, J., & Vicens, R. (2018, April). Classification of malware by using structural entropy on convolutional neural networks. In Thirty-Second AAAI Conference on Artificial Intelligence.
Gibert, D., Mateu, C., Planes, J., & Vicens, R. (2019). Using convolutional neural networks for classification of malware represented as images. Journal of Computer Virology and Hacking Techniques, 15(1), 15-28.
Gibert, D., Mateu, C., & Planes, J. (2018, October). An End-to- End Deep Learning Architecture for Classification of Malware’s Binary Content. In International Conference on Artificial Neural Networks (pp. 383-391). Springer, Cham.
Participación en projectos de investigación: TIN2015-71799-C2- 2-P
Publications:
GIBERT, D., MATEU, C., PLANES, J., SOLIS, D., & VICENS, R.
(2017, October). Convolutional neural networks for classification of malware assembly code. In Recent Advances in Artificial Intelligence Research and Development: Proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence, Deltebre, Terres de L'Ebre, Spain, October 25-27, 2017 (Vol. 300, p. 221). IOS Press.
Gibert, D., Mateu, C., Planes, J., & Vicens, R. (2018, April). Classification of malware by using structural entropy on convolutional neural networks. In Thirty-Second AAAI Conference on Artificial Intelligence.
Gibert, D., Mateu, C., Planes, J., & Vicens, R. (2019). Using convolutional neural networks for classification of malware represented as images. Journal of Computer Virology and Hacking Techniques, 15(1), 15-28.
Gibert, D., Mateu, C., & Planes, J. (2018, October). An End-to- End Deep Learning Architecture for Classification of Malware’s Binary Content. In International Conference on Artificial Neural Networks (pp. 383-391). Springer, Cham.
Participation in research projects: TIN2015-71799-C2-2-P
Publications:
GIBERT, D., MATEU, C., PLANES, J., SOLIS, D., & VICENS, R.
(2017, October). Convolutional neural networks for classification of malware assembly code. In Recent Advances in Artificial Intelligence Research and Development: Proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence, Deltebre, Terres de L'Ebre, Spain, October 25-27, 2017 (Vol. 300, p. 221). IOS Press.
Gibert, D., Mateu, C., Planes, J., & Vicens, R. (2018, April). Classification of malware by using structural entropy on convolutional neural networks. In Thirty-Second AAAI Conference on Artificial Intelligence.
Gibert, D., Mateu, C., Planes, J., & Vicens, R. (2019). Using convolutional neural networks for classification of malware represented as images. Journal of Computer Virology and Hacking Techniques, 15(1), 15-28.
Gibert, D., Mateu, C., & Planes, J. (2018, October). An End-to- End Deep Learning Architecture for Classification of Malware’s Binary Content. In International Conference on Artificial Neural Networks (pp. 383-391). Springer, Cham.
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