Joachim de Curtò

Orcid: 0000-0002-8334-4719

Affiliations:
  • Polytechnic University of Valencia, Department of Computer Engineering, Spain
  • ETH Zurich, Zürich, Switzerland (PhD 2017)


According to our database1, Joachim de Curtò authored at least 20 papers between 2017 and 2024.

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

2024
Isomorphic Structures and Operator Analysis in Mimetic Discretizations.
IEEE Access, 2024

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
Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from CE-4.
Dataset, January, 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

2020
Vulcan Centaur: towards end-to-end real-time perception in lunar rovers.
CoRR, 2020

Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4.
CoRR, 2020

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

2017
Vision and Learning in the Context of Exploratory Rovers. (Vision und Lernen im Kontext exploratorischer Rover / Vision et apprentissage dans le contexte des rovers planétaires).
PhD thesis, 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


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