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2020 – today
- 2024
[j5]Joachim de Curtò
, Irene de Zarzà:
Isomorphic Structures and Operator Analysis in Mimetic Discretizations. IEEE Access 12: 112482-112498 (2024)- 2023
- [j4]Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate:
LLM Adaptive PID Control for B5G Truck Platooning Systems. Sensors 23(13): 5899 (2023) - [j3]Irene de Zarzà, Joachim de Curtò, Gemma Roig, Carlos T. Calafate:
LLM Multimodal Traffic Accident Forecasting. Sensors 23(22): 9225 (2023) - [c5]Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate:
Decentralized Planning of Platoons in Road Transport using Reinforcement Learning. ICDCS Workshops 2023: 133-138 - [c4]Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate:
Decentralized Platooning Optimization for Trucks: A MILP and ADMM-based Convex Approach to Minimize Latency and Energy Consumption. ICDCS Workshops 2023: 139-144 - [c3]Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate:
Socratic Video Understanding on Unmanned Aerial Vehicles. KES 2023: 144-154 - [c2]Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate:
Area Estimation of Forest Fires using TabNet with Transformers. KES 2023: 553-563 - [c1]Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate:
UMAP for Geospatial Data Visualization. KES 2023: 1661-1671 - 2022
- [j2]Irene de Zarzà, Joachim de Curtò, Carlos T. Calafate:
Detection of glaucoma using three-stage training with EfficientNet. Intell. Syst. Appl. 16: 200140 (2022) - [j1]Joachim de Curtò, Irene de Zarzà, Hong Yan, Carlos T. Calafate:
On the applicability of the Hadamard as an input modulator for problems of classification. Softw. Impacts 13: 100325 (2022) - [i6]Joachim de Curtò, Irene de Zarzà, Hong Yan:
Signature and Log-signature for the Study of Empirical Distributions Generated with GANs. CoRR abs/2203.03226 (2022) - [i5]Joachim de Curtò, Irene de Zarzà, Hong Yan:
Learning with Signatures. CoRR abs/2204.07953 (2022) - 2021
- [b1]Irene de Zarzà:
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). ETH Zurich, Zürich, Switzerland, 2021
2010 – 2019
- 2019
- [i4]Joachim de Curtò, Irene C. Zarza:
Doctor of Crosswise: Reducing Over-parametrization in Neural Networks. CoRR abs/1905.10324 (2019) - 2017
- [i3]Joachim de Curtò, Irene Zarza, Feng Yang, Alexander J. Smola, Luc Van Gool:
F2F: A Library For Fast Kernel Expansions. CoRR abs/1702.08159 (2017) - [i2]Joachim de Curtò, Irene Zarza, Alexander J. Smola, Luc Van Gool:
HashBox: Hash Hierarchical Segmentation exploiting Bounding Box Object Detection. CoRR abs/1702.08160 (2017) - [i1]Joachim de Curtò, Irene C. Zarza, Fernando De la Torre, Irwin King, Michael R. Lyu:
High-Resolution Deep Convolutional Generative Adversarial Networks. CoRR abs/1711.06491 (2017)
Coauthor Index
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