:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cheng, Yuzhong, Nguyen, Linh Thi Hoai, Ozaki, Akinori, Ta, Ton Viet
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2403.14918
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BioSEN: A Bio-acoustic Signal Enhancement Network for Animal Vocalizations
by: Song, Tianyu, et al.
Published: (2026)

Mathematical Models for Fish Schooling
by: Nguyen, Linh Thi Hoai, et al.
Published: (2025)

Stochastic forest transition model dynamics and parameter estimation via deep learning
by: Kumabe, Satoshi, et al.
Published: (2025)

Improving Graph Convolutional Networks with Transformer Layer in social-based items recommendation
by: Hoang, Thi Linh, et al.
Published: (2024)

Quantifying Fish School Fragmentation under Predation Using Stochastic Differential Equations
by: Qi, Junyi, et al.
Published: (2025)

A case study of spatiotemporal forecasting techniques for weather forecasting
by: Sofi, Shakir Showkat, et al.
Published: (2022)

Sequence Diffusion Model for Temporal Link Prediction in Continuous-Time Dynamic Graph
by: Duc, Nguyen Minh, et al.
Published: (2026)

Electricity price forecasting across Norway's five bidding zones in the post-crisis era
by: Phan, My Thi Diem, et al.
Published: (2026)

In silico study on the cytotoxicity against Hela cancer cells of xanthones bioactive compounds from Garcinia cowa: QSAR based on Graph Deep Learning, Network Pharmacology, and Molecular Docking
by: Son, Nguyen Manh, et al.
Published: (2025)

Combinations of Fast Activation and Trigonometric Functions in Kolmogorov-Arnold Networks
by: Ta, Hoang-Thang, et al.
Published: (2025)

A Non-Archimedean Second Main Theorem for Hypersurfaces in Subgeneral Position
by: An, Ta Thi Hoai, et al.
Published: (2024)

Exploring the design space of deep-learning-based weather forecasting systems
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2024)

Interpolation of mountain weather forecasts by machine learning
by: Iwase, Kazuma, et al.
Published: (2023)

Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)

Emergent spatial organization of competing species under environmental stress and cooperation
by: Ta, Ton Viet
Published: (2026)

Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
by: Hoang, Thao, et al.
Published: (2024)

Collaborative Learning for Cyberattack Detection in Blockchain Networks
by: Khoa, Tran Viet, et al.
Published: (2022)

A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2025)

Wind Speed Probability Distribution Based on Adaptive Bandwidth Kernel Density Estimation Model for Wind Farm Application
by: Tin Trung Chau, et al.
Published: (2025)

Toward Finding Strong Pareto Optimal Policies in Multi-Agent Reinforcement Learning
by: Le, Bang Giang, et al.
Published: (2024)

Explicit Credit Assignment through Local Rewards and Dependence Graphs in Multi-Agent Reinforcement Learning
by: Le, Bang Giang, et al.
Published: (2026)

Maximizing the Promptness of Metaverse Systems using Edge Computing by Deep Reinforcement Learning
by: Thi-Thanh, Tam Ninh, et al.
Published: (2025)

Provably data-driven projection method for quadratic programming
by: Nguyen, Anh Tuan, et al.
Published: (2025)

Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
by: Charlton-Perez, Andrew J., et al.
Published: (2023)

ToVo: Toxicity Taxonomy via Voting
by: Luong, Tinh Son, et al.
Published: (2024)

Improving regional weather forecasts with neural interpolation
by: Jackaman, James, et al.
Published: (2025)

FuXi Weather: A data-to-forecast machine learning system for global weather
by: Sun, Xiuyu, et al.
Published: (2024)

Learning Generalization and Regularization of Nonhomogeneous Temporal Poisson Processes
by: Van, Son Nguyen, et al.
Published: (2024)

Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization
by: Nguyen, Anh B. H., et al.
Published: (2026)

Improvements to the post-processing of weather forecasts using machine learning and feature selection
by: Iwase, Kazuma, et al.
Published: (2026)

Aardvark weather: end-to-end data-driven weather forecasting
by: Vaughan, Anna, et al.
Published: (2024)

A two-step machine learning approach to statistical post-processing of weather forecasts for power generation
by: Baran, Ágnes, et al.
Published: (2022)

MicroRicci: A Greedy and Local Ricci Flow Solver for Self-Tuning Mesh Smoothing
by: Anh, Le Vu, et al.
Published: (2025)

Learning more physically realistic dynamics in machine-learning based weather forecasting with latent-space constraints
by: Fan, Hang, et al.
Published: (2025)

Strong identifiability and parameter learning in regression with heterogeneous response
by: Do, Dat, et al.
Published: (2022)

A novel method for identifying rice seed purity based on hybrid machine learning algorithms
by: Thi-Thu-Hong, Phan, et al.
Published: (2024)

GenCast: Diffusion-based ensemble forecasting for medium-range weather
by: Price, Ilan, et al.
Published: (2023)

Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study
by: Schmid, Lena, et al.
Published: (2023)

Robustness of AI-based weather forecasts in a changing climate
by: Rackow, Thomas, et al.
Published: (2024)

Deep Learning for Automated Identification of Vietnamese Timber Species: A Tool for Ecological Monitoring and Conservation
by: Song, Tianyu, et al.
Published: (2025)