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ORCIDJoseph Gallego-Mejia
Person information
- affiliation: Drexel University, College of Computing and Informatics, Philadelphia, PA, USA
- affiliation: National University of Colombia, MindLab Research Group, Bogotá, Colombia
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2020 – today
- 2025
[j6]Joseph Gallego-Mejia
, Oscar A. Bustos-Brinez, Fabio A. González:
INQMAD: incremental streaming anomaly detection with density matrices, quantum measurement, and density estimation. Neural Comput. Appl. 37(32): 27475-27503 (2025)- [j5]Fabio A. González, Raúl Ramos-Pollán, Joseph A. Gallego-Mejia:
Kernel density matrices for probabilistic deep learning. Quantum Mach. Intell. 7(2): 94 (2025) - 2024
- [j4]Fabio A. González, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón:
Correction: Learning with density matrices and random features. Quantum Mach. Intell. 6(1): 30 (2024) - [c6]Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán:
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data. NeurIPS 2024 - [i17]Matthew J. Allen, Francisco Dorr, Joseph Alejandro Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán:
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data. CoRR abs/2406.04230 (2024) - [i16]Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González:
Latent Anomaly Detection Through Density Matrices. CoRR abs/2408.07623 (2024) - [i15]Grace Colverd, Jumpei Takami, Laura Schade, Karol Bot, Joseph A. Gallego-Mejia:
3D-SAR Tomography and Machine Learning for High-Resolution Tree Height Estimation. CoRR abs/2409.05636 (2024) - [i14]Grace Colverd, Laura Schade, Jumpei Takami, Karol Bot, Joseph Gallego-Mejia:
Tree Species Classification using Machine Learning and 3D Tomographic SAR - a case study in Northern Europe. CoRR abs/2411.12897 (2024) - [i13]Grace Colverd, Jumpei Takami, Laura Schade, Karol Bot, Joseph A. Gallego-Mejia:
Tomographic SAR Reconstruction for Forest Height Estimation. CoRR abs/2412.00903 (2024) - 2023
- [b1]Joseph Alejandro Gallego-Mejia:
Efficient Non-Parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection. National University of Colombia, 2023 - [j3]Joseph A. Gallego-Mejia, Fabio A. González:
DEMANDE: Density Matrix Neural Density Estimation. IEEE Access 11: 53062-53078 (2023) - [c5]Joseph A. Gallego-Mejia:
Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection. AAAI 2023: 16117-16118 - [c4]Joseph A. Gallego-Mejia, Oscar A. Bustos-Brinez, Fabio A. González:
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection (Student Abstract). AAAI 2023: 16210-16211 - [d2]Joseph A. Gallego-Mejia, Fabio A. González:
DEMANDE Dataset. Zenodo, 2023
- [i12]Fabio A. González, Raúl Ramos-Pollán, Joseph A. Gallego-Mejia:
Quantum Kernel Mixtures for Probabilistic Deep Learning. CoRR abs/2305.18204 (2023) - [i11]Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán:
Fewshot learning on global multimodal embeddings for earth observation tasks. CoRR abs/2310.00119 (2023) - [i10]Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán:
Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data. CoRR abs/2310.00826 (2023) - [i9]Laura Martínez-Ferrer, Anna Jungbluth, Joseph A. Gallego-Mejia, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán:
Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction. CoRR abs/2310.02048 (2023) - [i8]Joseph A. Gallego-Mejia, Anna Jungbluth, Laura Martínez-Ferrer, Matt Allen, Francisco Dorr, Freddie Kalaitzis, Raúl Ramos-Pollán:
Exploring DINO: Emergent Properties and Limitations for Synthetic Aperture Radar Imagery. CoRR abs/2310.03513 (2023) - 2022
- [j2]Fabio A. González, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón:
Learning with density matrices and random features. Quantum Mach. Intell. 4(2): 1-17 (2022) - [c3]Joseph Alejandro Gallego, Juan F. Osorio, Fabio A. González:
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features. IBERAMIA 2022: 160-172 - [c2]Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González:
InQMAD: Incremental Quantum Measurement Anomaly Detection. ICDM (Workshops) 2022: 787-796 - [c1]Joseph Gallego-Mejia, Daniela Martin-Vega, Fabio A. González:
Risk Automatic Prediction for Social Economy Companies Using Camels. WEA 2022: 66-76 - [d1]Joseph Alejandro Gallego, Juan F. Osorio, Fabio A. González:
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features Software. Zenodo, 2022 - [i7]Joseph Alejandro Gallego, Fabio A. González:
Quantum Adaptive Fourier Features for Neural Density Estimation. CoRR abs/2208.00564 (2022) - [i6]Joseph Alejandro Gallego, Juan F. Osorio, Fabio A. González:
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features. CoRR abs/2208.01206 (2022) - [i5]Joseph Gallego-Mejia, Daniela Martin-Vega, Fabio A. González:
Risk Automatic Prediction for Social Economy Companies using Camels. CoRR abs/2210.05052 (2022) - [i4]Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González:
InQMAD: Incremental Quantum Measurement Anomaly Detection. CoRR abs/2210.05061 (2022) - [i3]Oscar Bustos-Brinez, Joseph Gallego-Mejia, Fabio A. González:
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier Features. CoRR abs/2210.14796 (2022) - [i2]Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González:
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection. CoRR abs/2211.08525 (2022) - 2021
- [j1]Joseph Alejandro Gallego, Fabio A. González, Olfa Nasraoui:
Robust kernels for robust location estimation. Neurocomputing 429: 174-186 (2021) - [i1]Fabio A. González, Joseph Alejandro Gallego, Santiago Toledo-Cortés, Vladimir Vargas-Calderón:
Learning with Density Matrices and Random Features. CoRR abs/2102.04394 (2021)
Coauthor Index
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