Irene Zarza

Orcid: 0000-0002-5844-7871

According to our database1, Irene Zarza authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
LLM Multimodal Traffic Accident Forecasting.
Sensors, November, 2023

LLM Adaptive PID Control for B5G Truck Platooning Systems.
Sensors, July, 2023

UMAP for Geospatial Data Visualization.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Area Estimation of Forest Fires using TabNet with Transformers.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Socratic Video Understanding on Unmanned Aerial Vehicles.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Decentralized Platooning Optimization for Trucks: A MILP and ADMM-based Convex Approach to Minimize Latency and Energy Consumption.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Decentralized Planning of Platoons in Road Transport using Reinforcement Learning.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

2022
On the applicability of the Hadamard as an input modulator for problems of classification.
Softw. Impacts, 2022

Detection of glaucoma using three-stage training with EfficientNet.
Intell. Syst. Appl., 2022

Learning with Signatures.
CoRR, 2022

Signature and Log-signature for the Study of Empirical Distributions Generated with GANs.
CoRR, 2022

2021
A Unifying Theory of Learning: DL Meets Kernel Methods. (Eine einheitliche Theorie des Lernens: DL trifft Kernel-Methoden / Une théorie unifiante de l'apprentissage: DL rencontre méthodes à noyaux).
PhD thesis, 2021

2019
Doctor of Crosswise: Reducing Over-parametrization in Neural Networks.
CoRR, 2019

2017
High-Resolution Deep Convolutional Generative Adversarial Networks.
CoRR, 2017

F2F: A Library For Fast Kernel Expansions.
CoRR, 2017

HashBox: Hash Hierarchical Segmentation exploiting Bounding Box Object Detection.
CoRR, 2017


  Loading...