HashBox: Hash Hierarchical Segmentation exploiting Bounding Box Object Detection. - Joachim de Curtò; Irene Zarza; Alexander J. Smola; Luc Van Gool (CoRR, 2017)

F2F: A Library For Fast Kernel Expansions. - Joachim de Curtò; Irene Zarza; Feng Yang; Alexander J. Smola; Luc Van Gool (CoRR, 2017)

High-Resolution Deep Convolutional Generative Adversarial Networks. - Joachim de Curtò; Irene C. Zarza; Fernando De la Torre; Irwin King; Michael R. Lyu (CoRR, 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). - Joachim de Curtò (2017)

Doctor of Crosswise: Reducing Over-parametrization in Neural Networks. - Joachim de Curtò; Irene C. Zarza (CoRR, 2019)

Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from Chang'E-4. - Joachim de Curtò; R. Duvall (CoRR, 2020)

Vulcan Centaur: towards end-to-end real-time perception in lunar rovers. - Joachim de Curtò; R. Duvall (CoRR, 2020)

Signature and Log-signature for the Study of Empirical Distributions Generated with GANs. - Joachim de Curtò; Irene de Zarzà; Hong Yan 001 (CoRR, 2022)

Learning with Signatures. - Joachim de Curtò; Irene de Zarzà; Hong Yan 001 (CoRR, 2022)

Detection of glaucoma using three-stage training with EfficientNet. - Irene de Zarzà; Joachim de Curtò; Carlos T. Calafate (Intell. Syst. Appl., 2022)

On the applicability of the Hadamard as an input modulator for problems of classification. - Joachim de Curtò; Irene de Zarzà; Hong Yan 001; Carlos T. Calafate (Softw. Impacts, 2022)

Cycle-consistent Generative Adversarial Networks for Neural Style Transfer using data from CE-4. - Joachim de Curtò y Díaz; R. Duvall (IEEE DataPort, 2022)

Decentralized Planning of Platoons in Road Transport using Reinforcement Learning. - Irene de Zarzà; Joachim de Curtò; Carlos T. Calafate (ICDCS Workshops, 2023)

Decentralized Platooning Optimization for Trucks: A MILP and ADMM-based Convex Approach to Minimize Latency and Energy Consumption. - Irene de Zarzà; Joachim de Curtò; Carlos T. Calafate (ICDCS Workshops, 2023)

Socratic Video Understanding on Unmanned Aerial Vehicles. - Irene de Zarzà; Joachim de Curtò; Carlos T. Calafate (KES, 2023)

Area Estimation of Forest Fires using TabNet with Transformers. - Irene de Zarzà; Joachim de Curtò; Carlos T. Calafate (KES, 2023)

UMAP for Geospatial Data Visualization. - Irene de Zarzà; Joachim de Curtò; Carlos T. Calafate (KES, 2023)

LLM Adaptive PID Control for B5G Truck Platooning Systems. - Irene de Zarzà; Joachim de Curtò; Gemma Roig; Carlos T. Calafate (Sensors, 2023)

LLM Multimodal Traffic Accident Forecasting. - Irene de Zarzà; Joachim de Curtò; Gemma Roig; Carlos T. Calafate (Sensors, 2023)

Comparative Analysis of Reasoning Capabilities in Foundation Models. - Joachim de Curtò; Irene de Zarzà (FLLM, 2024)

Physics-Informed Neural Networks for Enhanced Thermal Regulation in a Spacecraft. - Joachim de Curtò; Irene de Zarzà (KES, 2024)

LLM Multi-agent Decision Optimization. - Joachim de Curtò; Irene de Zarzà; Carlos T. Calafate (KES-AMSTA, 2024)

Isomorphic Structures and Operator Analysis in Mimetic Discretizations. - Joachim de Curtò; Irene de Zarzà (IEEE Access, 2024)

Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum. - Joachim de Curtò; Irene C. Zarza; Juan-Carlos Cano; Carlos T. Calafate (Future Internet, 2024)

LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systems. - Joachim de Curtò; Irene de Zarzà (IEEE Access, 2025)

An Institutional Theory Framework for Leveraging Large Language Models for Policy Analysis and Intervention Design. - Joachim de Curtò; Irene de Zarzà; Leandro Sebastián Fervier; Victoria Sanagustín-Fons; Carlos T. Calafate (Future Internet, 2025)

Advanced System Engineering Approaches to Emerging Challenges in Planetary and Deep-Space Exploration. - Joachim de Curtò; Cristina LiCalzi; Julien Tubiana Warin; Jack Gehlert; Brian Langbein; Alexandre Gamboa; Chris Sixbey; William Maguire; Santiago Fernández; Álvaro Maestroarena; Alex Brenchley; Logan Maroclo; et al. (CoRR, 2025)