Dr. Fernando Benites

Beruflicher Abschluss

• Dr. rer. nat. , Universität Konstanz
• Dipl. Inf., Universität Bielefeld

Weitere Angaben

Fachliche Schwerpunkte

• Neuronale Netze
• Large Language Models
• Natural Language Processing/Sprachverarbeitung
• Multi-modale Neuronale Netze
• Data Science/Machine Learning

Spezialisierung

• RAG Systeme
• Agenten Systeme

Aktuelle Projekte

• DeepMaxwell: Automatic Design Tool for Radiofrequency PCB Footprint Design

Berufspraxis

• - Senior Wissenschaftlicher Mitarbeiter Ostschweizer Fachhochschule
• - 2020-2025 Dozent FHNW
• - 2016-2020 Senior Wissenschaftlicher Mitarbeiter ZHAW

Fachzeitschrift

• (2022) Work-in-progress: Data Science Challenge-X: self-directed, competence-based, project-based learning, in: 2022 IEEE Global Engineering Education Conference (EDUCON). : 10.1109/EDUCON52537.2022.9766710
• Dirk Von Gruenigen; Fernando Benites; Beatrice Pradarelli; Amani Magid; Mark Cieliebak (2018) Best practices in e-assessments with a special focus on cheating prevention, in: 2018 IEEE global engineering education conference (EDUCON)
• Fernando Benites; Shervin Malmasi; Marcos Zampieri (2018) Classifying patent applications with ensemble methods, in: arXiv:1811.04695
• Fernando Benites; Elena Sapozhnikova (2015) Haram: a hierarchical aram neural network for large-scale text classification, in: 2015 IEEE international conference on data mining workshop (ICDMW)
• Florian Bruckner; Fernando Benites; Elena Sapozhnikova (2011) Multi-label classification and extracting predicted class hierarchies, in: Pattern Recognition, S. 724-738. https://doi.org/10.1016/j.patcog.2010.09.010

Buchkapitel

• Fernando Benites; Alice Delorme Benites; Chris M Anson (2023) Automated Text Generation and Summarization for Academic Writing, in: Springer International Publishing (Hrsg.), S. 279-301, Digital Writing Technologies in Higher Education: Theory, Research, and Practice