Joseph Gallego-Mejia

Santiago Toledo-Cortés

Vladimir Vargas-Calderón

Quantum Mach. Intell., June, 2024

Tomographic SAR Reconstruction for Forest Height Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Tree Species Classification using Machine Learning and 3D Tomographic SAR - a case study in Northern Europe.

[BibT_eX]

[DOI]

CoRR, 2024

3D-SAR Tomography and Machine Learning for High-Resolution Tree Height Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Latent Anomaly Detection Through Density Matrices.

[BibT_eX]

[DOI]

CoRR, 2024

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data.

[BibT_eX]

[DOI]

Matthew J. Allen

Joseph Alejandro Gallego-Mejia

CoRR, 2024

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data.

[BibT_eX]

[DOI]

Matthew J. Allen

Joseph Alejandro Gallego-Mejia

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

DEMANDE Dataset.

[BibT_eX]

[DOI]

Joseph Alejandro Gallego-Mejia

Dataset, April, 2023

Efficient Non-Parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection

[BibT_eX]

[DOI]

PhD thesis, 2023

Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data.

[BibT_eX]

[DOI]

Matt Allen

CoRR, 2023

Fewshot learning on global multimodal embeddings for earth observation tasks.

[BibT_eX]

[DOI]

Matt Allen

CoRR, 2023

Quantum Kernel Mixtures for Probabilistic Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

DEMANDE: Density Matrix Neural Density Estimation.

[BibT_eX]

[DOI]

IEEE Access, 2023

LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract).

[BibT_eX]

[DOI]

Oscar A. Bustos-Brinez

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Fast Kernel Density Estimation with Density Matrices and Random Fourier Features Software.

[BibT_eX]

[DOI]

Juan F. Osorio

Dataset, July, 2022

Learning with density matrices and random features.

[BibT_eX]

[DOI]

Santiago Toledo-Cortés

Vladimir Vargas-Calderón

Quantum Mach. Intell., 2022

LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2022

AD-DMKDE: Anomaly Detection through Density Matrices and Fourier Features.

[BibT_eX]

[DOI]

CoRR, 2022

Quantum Adaptive Fourier Features for Neural Density Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

Risk Automatic Prediction for Social Economy Companies Using Camels.

[BibT_eX]

[DOI]

Daniela Martin-Vega

Proceedings of the Applied Computer Sciences in Engineering, 2022

InQMAD: Incremental Quantum Measurement Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Fast Kernel Density Estimation with Density Matrices and Random Fourier Features.

[BibT_eX]

[DOI]

Juan F. Osorio

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022

2021

Robust kernels for robust location estimation.

[BibT_eX]

[DOI]