Cover Image

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ali, Yousuf Moiz, Prilepsky, Jaroslaw E., Sambo, Nicola, Pedro, Joao, Hosseini, Mohammad M., Napoli, Antonio, Turitsyn, Sergei K., Freire, Pedro
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pre-, In-, and Post-Processing Class Imbalance Mitigation Techniques for Failure Detection in Optical Networks
by: Ali, Yousuf Moiz, et al.
Published: (2025)

Experimental Demonstration of Online Learning-Based Concept Drift Adaptation for Failure Detection in Optical Networks
by: Ali, Yousuf Moiz, et al.
Published: (2026)

Computational Complexity Evaluation of Neural Network Applications in Signal Processing
by: Freire, Pedro, et al.
Published: (2022)

Hardware-Oriented Inference Complexity of Kolmogorov-Arnold Networks
by: Khalid, Bilal, et al.
Published: (2026)

FPGA Implementation of Low-Power Multiplierless Pre-Processing Free Chromatic Dispersion Equalizer
by: Gomes, Geraldo, et al.
Published: (2024)

Efficient and Robust Semantic Image Communication via Stable Cascade
by: Khalid, Bilal, et al.
Published: (2025)

FPGA Implementation of Complex Value-based Clustering Filter for Chromatic Dispersion Compensation in Coherent Metro Links with Ultra-low Power Consumption
by: Gomes, Geraldo, et al.
Published: (2024)

Geometric Clustering for Hardware-Efficient Implementation of Chromatic Dispersion Compensation
by: Gomes, Geraldo, et al.
Published: (2024)

Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations
by: Duque, Alice, et al.
Published: (2024)

Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation
by: Freire, Pedro, et al.
Published: (2024)

PatchDenoiser: Parameter-efficient multi-scale patch learning and fusion denoiser for Low-dose CT imaging
by: Fartiyal, Jitindra, et al.
Published: (2026)

FPGA-Based Experimental Analysis of Fixed-Point Precision Impact on SOP Estimation in Coherent Communications Receivers
by: Gomes, Geraldo, et al.
Published: (2026)

Dual Path Learning -- learning from noise and context for medical image denoising
by: Fartiyal, Jitindra, et al.
Published: (2025)

Reverse energy flows: the physical mechanism underling dramatic reduction of loss in hollow-core fibers
by: Pryamikov, Andrey, et al.
Published: (2025)

Optical neuromorphic computing via temporal up-sampling and trainable encoding on a telecom device platform
by: Manuylovich, Egor, et al.
Published: (2025)

Periodic finite-band solutions to the focusing nonlinear Schrödinger equation by the Fokas method: inverse and direct problems
by: Shepelsky, Dmitry, et al.
Published: (2023)

Class Uncertainty: A Measure to Mitigate Class Imbalance
by: Baltaci, Z. S., et al.
Published: (2023)

A Feature Engineering‐Based NILM Framework for Appliance Recognition Considering Data Class Imbalance
by: Yanzhen Li, et al.
Published: (2024)

Comment on “Deep Learning for Staging Periodontitis Using Panoramic Radiographs”
by: Mohammad Reza Keivany, et al.
Published: (2025)

Early‐Stage Melanoma Cancer Diagnosis Framework for Imbalanced Data From Dermoscopic Images
by: Amjad Rehman Khan, et al.
Published: (2024)

Constraining dark matter self-interaction from kinetic heating in neutron stars
by: Sarkar, Sambo
Published: (2026)

Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction
by: Wen, Junzhi, et al.
Published: (2024)

Small-scale photonic Kolmogorov-Arnold networks using standard telecom nonlinear modules
by: Calçado, Luca Nogueira, et al.
Published: (2026)

Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?
by: Le, Triet H. M., et al.
Published: (2024)

The effect of Certificate‐of‐Need laws on physician earnings and labor supply
by: Moiz Bhai
Published: (2025)

Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models
by: Rios, Gaston Gustavo, et al.
Published: (2025)

Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
by: Hayes, Nicole, et al.
Published: (2024)

Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
by: Kaushik, Chiraag, et al.
Published: (2024)

Class Imbalance in Object Detection: An Experimental Diagnosis and Study of Mitigation Strategies
by: Crasto, Nieves
Published: (2024)

Comparing Importance Sampling Based Methods for Mitigating the Effect of Class Imbalance
by: Panigrahi, Indu, et al.
Published: (2024)

A Survey of Data Compression Algorithms and their Applications
by: Hosseini, Mohammad
Published: (2025)

Mitigating Data Imbalance in Automated Speaking Assessment
by: Tsai, Fong-Chun, et al.
Published: (2025)

CARTGen-IR: Synthetic Tabular Data Generation for Imbalanced Regression
by: Pinheiro, António Pedro, et al.
Published: (2025)

Ted Hughes’s ‘Hawk Roosting’: A Posthumanist Perspective
by: Yousuf Ali
Published: (2018)

A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation
by: Kalsoom, Atifa, et al.
Published: (2025)

Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation
by: Chen, Zhiyu, et al.
Published: (2024)

Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation
by: Han, Jiawei, et al.
Published: (2024)

CALF: A Conditionally Adaptive Loss Function to Mitigate Class-Imbalanced Segmentation
by: Alam, Bashir, et al.
Published: (2025)

Multitask Mayhem: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning
by: Jan, Essa, et al.
Published: (2024)

CAMO: A Class-Aware Minority-Optimized Ensemble for Robust Language Model Evaluation on Imbalanced Data
by: Ehab, Mohamed, et al.
Published: (2026)