Manuel Pérez-Carrasco

About Manuel Pérez-Carrasco

Manuel Pérez-Carrasco, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Universidad de Concepción, specializes in the field of Machine Learning, Deep Learning, Computer Vision, Time Series.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hyperspectral shadow removal with Iterative Logistic Regression and latent Parametric Linear Combination of Gaussians

Alert Classification for the ALeRCE Broker System: The Anomaly Detector

Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts

Positional Encodings for Light Curve Transformers: Playing with Positions and Attention

Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories

Precision silviculture: Use of UAVs and comparison of deep learning models for the identification and segmentation of tree crowns in pine crops

Con DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations

The automatic learning for the rapid classification of events (ALeRCE) alert broker

Manuel Pérez-Carrasco Information

University

Position

Harvard IACS

Citations(all)

207

Citations(since 2020)

207

Cited By

13

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Manuel Pérez-Carrasco Skills & Research Interests

Machine Learning

Deep Learning

Computer Vision

Time Series

Top articles of Manuel Pérez-Carrasco

Hyperspectral shadow removal with Iterative Logistic Regression and latent Parametric Linear Combination of Gaussians

arXiv preprint arXiv:2312.15386

2023/12/24

Alert Classification for the ALeRCE Broker System: The Anomaly Detector

The Astronomical Journal

2021/2/23

Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts

arXiv preprint arXiv:2308.07538

2023/8/15

Positional Encodings for Light Curve Transformers: Playing with Positions and Attention

arXiv preprint arXiv:2308.06404

2023/8/11

Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories

arXiv preprint arXiv:2308.05011

2023

Precision silviculture: Use of UAVs and comparison of deep learning models for the identification and segmentation of tree crowns in pine crops

International Journal of Digital Earth

2022/12/31

Con DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations

2022/4/4

The automatic learning for the rapid classification of events (ALeRCE) alert broker

The Astronomical Journal

2021/4/27

Searching for changing-state agns in massive data sets. i. applying deep learning and anomaly-detection techniques to find agns with anomalous variability behaviors

The Astronomical Journal

2021/10/20

See List of Professors in Manuel Pérez-Carrasco University(Universidad de Concepción)