Cover Image

Enhanced Fish Freshness Classification with Incremental Handcrafted Feature Fusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hoang, Phi-Hung, Trinh, Nam-Thuan, Tran, Van-Manh, Phan, Thi-Thu-Hong
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence 68T05, 62H30
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Feature Optimization for Enhanced Fish Freshness Assessment
by: Hoang, Phi-Hung, et al.
Published: (2025)

A Tractography Analysis Framework Using Diffusion Maps to Study Thalamic Connectivity in Traumatic Brain Injury
by: Sharma, Akul, et al.
Published: (2025)

K-Means as a Radial Basis function Network: a Variational and Gradient-based Equivalence
by: Arredondo, Felipe de Jesus Felix, et al.
Published: (2026)

A Systematic Evaluation of Imbalance Handling Methods in Biomedical Binary Classification
by: Chen, Jiandong, et al.
Published: (2026)

Comparison of Machine Learning Classification Algorithms and Application to the Framingham Heart Study
by: Kahouadji, Nabil
Published: (2024)

Imbalanced Classification under Capacity Constraints
by: Fraiman, Daniel, et al.
Published: (2026)

Multi-objective hybrid knowledge distillation for efficient deep learning in smart agriculture
by: Hoang, Phi-Hung, et al.
Published: (2025)

Surjective Independence of Causal Influences for Local Bayesian Network Structures
by: Drury, Kieran, et al.
Published: (2025)

Unified Robust Boosting
by: Wang, Zhu
Published: (2021)

Proximity Measure of Information Object Features for Solving the Problem of Their Identification in Information Systems
by: Yuzefovych, Volodymyr
Published: (2026)

Complex Diffusion Maps with $ω$-Parameterized Kernels Revealing Inherent Harmonic Representations
by: Dang, Tongzhen, et al.
Published: (2026)

Mapping the Web of Science, a large-scale graph and text-based dataset with LLM embeddings
by: Kunt, Tim, et al.
Published: (2026)

Weak Signals and Heavy Tails: Learning Theory meets Extreme Value Analysis
by: Clémençon, Stephan, et al.
Published: (2025)

Symbolic Branch Networks: Tree-Inherited Neural Models for Interpretable Multiclass Classification
by: Rodríguez-Salas, Dalia
Published: (2025)

New Equivalences Between Interpolation and SVMs: Kernels and Structured Features
by: Kaushik, Chiraag, et al.
Published: (2023)

Leveraging Imperfection with MEDLEY A Multi-Model Approach Harnessing Bias in Medical AI
by: Abtahi, Farhad, et al.
Published: (2025)

Time Aggregation Features for XGBoost Models
by: Pinchuk, Mykola
Published: (2026)

Latent space configuration for improved generalization in supervised autoencoder neural networks
by: Gabdullin, Nikita
Published: (2024)

Comparative Analysis of OECD Countries Based on Energy Trilemma Index: A Clustering Approach
by: Akusta, Emre
Published: (2025)

Enhancing Diversity in Multi-objective Feature Selection
by: Miyandoab, Sevil Zanjani, et al.
Published: (2024)

Functional Random Forest with Adaptive Cost-Sensitive Splitting for Imbalanced Functional Data Classification
by: Mostafa, Fahad, et al.
Published: (2025)

On the Connection Between Non-negative Matrix Factorization and Latent Dirichlet Allocation
by: Geiger, Benedikt, et al.
Published: (2024)

FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning
by: Slessor, Jordan, et al.
Published: (2024)

Scalable Posterior Uncertainty for Flexible Density-Based Clustering
by: Bariletto, Nicola, et al.
Published: (2026)

Almost exact recovery in noisy semi-supervised learning
by: Avrachenkov, Konstantin, et al.
Published: (2020)

Adapting Altman's bankruptcy prediction model to the compositional data methodology
by: Keivani, Fatemeh, et al.
Published: (2026)

Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
by: Dai, Chi-Shian, et al.
Published: (2026)

How many samples to label for an application given a foundation model? Chest X-ray classification study
by: Nechaev, Nikolay, et al.
Published: (2025)

Drawing Lines in Psychological Space: What K-means Clustering Reveals in Simulated and Real Psychometric Data
by: Pinto, Pedro Henrique Ramos, et al.
Published: (2026)

Structural Refinement of Bayesian Networks for Efficient Model Parameterisation
by: Drury, Kieran, et al.
Published: (2025)

PurSAMERE: Reliable Adversarial Purification via Sharpness-Aware Minimization of Expected Reconstruction Error
by: Hoang, Vinh, et al.
Published: (2026)

Ranking of Multi-Response Experiment Treatments
by: Pebes-Trujillo, Miguel R., et al.
Published: (2024)

Statistical and Machine Learning Analysis of Traffic Accidents on US 158 in Currituck County: A Comparison with HSM Predictions
by: Sawyer, Jennifer, et al.
Published: (2025)

Multi-source Heterogeneous Public Opinion Analysis via Collaborative Reasoning and Adaptive Fusion: A Systematically Integrated Approach
by: Liu, Yi
Published: (2026)

G-Mapper: Learning a Cover in the Mapper Construction
by: Alvarado, Enrique, et al.
Published: (2023)

Permutation recovery of spikes in noisy high-dimensional tensor estimation
by: Arous, Gérard Ben, et al.
Published: (2024)

A Theoretical and Empirical Taxonomy of Imbalance in Binary Classification
by: Essomba, Rose Yvette Bandolo, et al.
Published: (2026)

Multi-Method Analysis of Mathematics Placement Assessments: Classical, Machine Learning, and Clustering Approaches
by: Allagan, Julian D., et al.
Published: (2025)

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
by: Ožbot, Miha, et al.
Published: (2025)

Interpretable Machine Learning-Derived Spectral Indices for Vegetation Monitoring
by: Lotfi, Ali, et al.
Published: (2025)