Detection of Animal Movement from Weather Radar using Self-Supervised Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Haque, Mubin Ul, Dabrowski, Joel Janek, Rogers, Rebecca M., Parry, Hazel |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Comparative Evaluation of Weather Forecasting using Machine Learning Models
par: Rahman, Md Saydur, et autres
Publié: (2024)
par: Rahman, Md Saydur, et autres
Publié: (2024)
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
par: Bolt, Andrew, et autres
Publié: (2022)
par: Bolt, Andrew, et autres
Publié: (2022)
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning
par: Luo, Yuan, et autres
Publié: (2025)
par: Luo, Yuan, et autres
Publié: (2025)
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data
par: Veillette, Mark S., et autres
Publié: (2024)
par: Veillette, Mark S., et autres
Publié: (2024)
Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem
par: Haque, Shaan Ul, et autres
Publié: (2024)
par: Haque, Shaan Ul, et autres
Publié: (2024)
Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing
par: Sarkar, Eklavya, et autres
Publié: (2025)
par: Sarkar, Eklavya, et autres
Publié: (2025)
Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
par: Luthra, Achleshwar, et autres
Publié: (2025)
par: Luthra, Achleshwar, et autres
Publié: (2025)
Modeling Chaotic Pedestrian Behavior Using Chaos Indicators and Supervised Learning
par: Shahrier, Md. Muhtashim, et autres
Publié: (2025)
par: Shahrier, Md. Muhtashim, et autres
Publié: (2025)
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting
par: Liu, Yao
Publié: (2025)
par: Liu, Yao
Publié: (2025)
Few-Shot Radar Signal Recognition through Self-Supervised Learning and Radio Frequency Domain Adaptation
par: Huang, Zi, et autres
Publié: (2025)
par: Huang, Zi, et autres
Publié: (2025)
On the Alignment Between Supervised and Self-Supervised Contrastive Learning
par: Luthra, Achleshwar, et autres
Publié: (2025)
par: Luthra, Achleshwar, et autres
Publié: (2025)
Self-Supervised Learning from Structural Invariance
par: Zhang, Yipeng, et autres
Publié: (2026)
par: Zhang, Yipeng, et autres
Publié: (2026)
Federated Learning for Anomaly Detection in Maritime Movement Data
par: Graser, Anita, et autres
Publié: (2025)
par: Graser, Anita, et autres
Publié: (2025)
Self-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds
par: Schwarzer, Leon, et autres
Publié: (2025)
par: Schwarzer, Leon, et autres
Publié: (2025)
Self-Supervised Learning of Graph Representations for Network Intrusion Detection
par: Guerra, Lorenzo, et autres
Publié: (2025)
par: Guerra, Lorenzo, et autres
Publié: (2025)
How Accurately Can a Gaussian Approximate Stochastic Approximation Iterates?
par: Haque, Shaan Ul, et autres
Publié: (2026)
par: Haque, Shaan Ul, et autres
Publié: (2026)
Finite-Time Bounds for Two-Time-Scale Stochastic Approximation with Arbitrary Norm Contractions and Markovian Noise
par: Chandak, Siddharth, et autres
Publié: (2025)
par: Chandak, Siddharth, et autres
Publié: (2025)
Improving Credit Card Fraud Detection through Transformer-Enhanced GAN Oversampling
par: Emaan, Kashaf Ul
Publié: (2025)
par: Emaan, Kashaf Ul
Publié: (2025)
Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network
par: Nejad, Sareh Soltani, et autres
Publié: (2024)
par: Nejad, Sareh Soltani, et autres
Publié: (2024)
Valid Error Bars for Neural Weather Models using Conformal Prediction
par: Gopakumar, Vignesh, et autres
Publié: (2024)
par: Gopakumar, Vignesh, et autres
Publié: (2024)
Bayesian Self-Supervised Contrastive Learning
par: Liu, Bin, et autres
Publié: (2023)
par: Liu, Bin, et autres
Publié: (2023)
GraSSRep: Graph-Based Self-Supervised Learning for Repeat Detection in Metagenomic Assembly
par: Azizpour, Ali, et autres
Publié: (2024)
par: Azizpour, Ali, et autres
Publié: (2024)
Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection Systems
par: Koukoulis, Ippokratis, et autres
Publié: (2025)
par: Koukoulis, Ippokratis, et autres
Publié: (2025)
End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
par: Deforce, Boje, et autres
Publié: (2024)
par: Deforce, Boje, et autres
Publié: (2024)
Optimizing EEG Graph Structure for Seizure Detection: An Information Bottleneck and Self-Supervised Learning Approach
par: Li, Lincan, et autres
Publié: (2026)
par: Li, Lincan, et autres
Publié: (2026)
Prenatal Stress Detection from Electrocardiography Using Self-Supervised Deep Learning: Development and External Validation
par: Frasch, Martin G., et autres
Publié: (2026)
par: Frasch, Martin G., et autres
Publié: (2026)
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
par: Haque, Shaan Ul, et autres
Publié: (2023)
par: Haque, Shaan Ul, et autres
Publié: (2023)
On the Importance of Embedding Norms in Self-Supervised Learning
par: Draganov, Andrew, et autres
Publié: (2025)
par: Draganov, Andrew, et autres
Publié: (2025)
Self-Supervised Learning for Sparse Matrix Reordering
par: Li, Ziwei, et autres
Publié: (2026)
par: Li, Ziwei, et autres
Publié: (2026)
On the Out-of-Distribution Generalization of Self-Supervised Learning
par: Qiang, Wenwen, et autres
Publié: (2025)
par: Qiang, Wenwen, et autres
Publié: (2025)
Self-Supervised Dataset Distillation for Transfer Learning
par: Lee, Dong Bok, et autres
Publié: (2023)
par: Lee, Dong Bok, et autres
Publié: (2023)
On the Universality of Self-Supervised Learning
par: Qiang, Wenwen, et autres
Publié: (2024)
par: Qiang, Wenwen, et autres
Publié: (2024)
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
par: Islam, Md Shazid, et autres
Publié: (2024)
par: Islam, Md Shazid, et autres
Publié: (2024)
Deep Clustering with Self-Supervision using Pairwise Similarities
par: Sadeghi, Mohammadreza, et autres
Publié: (2024)
par: Sadeghi, Mohammadreza, et autres
Publié: (2024)
Self-Supervised Learning with Gaussian Processes
par: Duan, Yunshan, et autres
Publié: (2025)
par: Duan, Yunshan, et autres
Publié: (2025)
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification
par: Baig, Zuraiz, et autres
Publié: (2025)
par: Baig, Zuraiz, et autres
Publié: (2025)
Bridging Brain with Foundation Models through Self-Supervised Learning
par: Altaheri, Hamdi, et autres
Publié: (2025)
par: Altaheri, Hamdi, et autres
Publié: (2025)
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection
par: Chen, Yutong, et autres
Publié: (2024)
par: Chen, Yutong, et autres
Publié: (2024)
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection
par: Li, Zhong, et autres
Publié: (2025)
par: Li, Zhong, et autres
Publié: (2025)
Self-Supervised Learning for Android Malware Detection on a Time-Stamped Dataset
par: Fu, Annan, et autres
Publié: (2026)
par: Fu, Annan, et autres
Publié: (2026)
Documents similaires
-
Comparative Evaluation of Weather Forecasting using Machine Learning Models
par: Rahman, Md Saydur, et autres
Publié: (2024) -
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
par: Bolt, Andrew, et autres
Publié: (2022) -
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning
par: Luo, Yuan, et autres
Publié: (2025) -
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data
par: Veillette, Mark S., et autres
Publié: (2024) -
Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem
par: Haque, Shaan Ul, et autres
Publié: (2024)