The effects of topological features on convolutional neural networks—an explanatory analysis via Grad-CAM

The effects of topological features on convolutional neural networks—an explanatory analysis via Grad-CAM

Topological data analysis (TDA) characterizes the global structure of data based on topological invariants such as persistent homology, whereas convolutional neural networks (CNNs) are capable of characterizing local features in the global structure of the data. In contrast, a combined model of TDA...

Full description

Bibliographic Details
Main Authors:	Dongjin Lee, Seong-Heon Lee, Jae-Hun Jung
Format:	Article
Language:	English
Published:	IOP Publishing 2023-01-01
Series:	Machine Learning: Science and Technology
Subjects:	convolutional neural network topological data analysis Grad-CAM analysis CNN-TDA Net transient vs bogus classification pigmented skin classification
Online Access:	https://doi.org/10.1088/2632-2153/ace6f3

Similar Items

Breast Cancer Classification With Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
by: Suxing Liu, et al.
Published: (2024-01-01)

The Usefulness of Gradient-Weighted CAM in Assisting Medical Diagnoses
by: Jong-Chih Chien, et al.
Published: (2022-08-01)

COVID-19 Detection Algorithm Combining Grad-CAM and Convolutional Neural Network
by: ZHU Bingyu, LIU Zhen, ZHANG Jingxiang
Published: (2022-09-01)

XAI-BO: an architecture using Grad-CAM technique to evaluate Bayesian optimization algorithms on deep learning models
by: Luyl-Da Quach, et al.
Published: (2025-01-01)

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
by: Ioannis E. Livieris, et al.
Published: (2023-10-01)

Cavitation recognition of axial piston pumps in noisy environment based on Grad‐CAM visualization technique
by: Qun Chao, et al.
Published: (2023-03-01)

Advanced grad-CAM extensions for interpretable aphasia speech keyword classification: Bridging the gap in impaired speech with XAI
by: Gowri Prasood Usha, et al.
Published: (2024-12-01)

Combining Convolutional Neural Network (CNN) and Grad-CAM for Parkinson’s Disease Prediction and Visual Explanation
by: Reyhaneh Dehghan, et al.
Published: (2024-09-01)

Grad-CAM-Based Feature Selection and Dementia Classification Algorithm Using Voice Data
by: Hansol Ko, et al.
Published: (2024-01-01)

Classification of PRPD Pattern in Cast- Resin Transformers Using CNN and Implementation of Explainable AI (XAI) With Grad-CAM
by: Ho-Seung Kim, et al.
Published: (2024-01-01)

Accurate and visualiable discrimination of Chenpi age using 2D-CNN and Grad-CAM++ based on infrared spectral images
by: Li Jun Tang, et al.
Published: (2024-10-01)

An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network for a Smart Healthcare System
by: Krishna Mridha, et al.
Published: (2023-01-01)

MaskAppendix: Backbone-Enriched Mask R-CNN Based on Grad-CAM for Automatic Appendix Segmentation
by: Emre Dandıl, et al.
Published: (2024-10-01)

Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM
by: Md. Jawadul Karim, et al.
Published: (2024-07-01)

NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM
by: Nicola Altini, et al.
Published: (2022-09-01)

Bearing Fault Diagnosis Using Grad-CAM and Acoustic Emission Signals
by: JaeYoung Kim, et al.
Published: (2020-03-01)

Grad-CAM-Based Explainable Artificial Intelligence Related to Medical Text Processing
by: Hongjian Zhang, et al.
Published: (2023-09-01)

Adaptation of Grad-CAM Method to Neural Network Architecture for LiDAR Pointcloud Object Detection
by: Daniel Dworak, et al.
Published: (2022-06-01)

Classification and Model Explanation of Traditional Dwellings Based on Improved Swin Transformer
by: Shangbo Miao, et al.
Published: (2024-05-01)

Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning
by: Lara Visuña, et al.
Published: (2022-10-01)

An Explainable Classification Method of SPECT Myocardial Perfusion Images in Nuclear Cardiology Using Deep Learning and Grad-CAM
by: Nikolaos I. Papandrianos, et al.
Published: (2022-07-01)

Topological Forest
by: Murat Ali Bayir, et al.
Published: (2022-01-01)

Evaluation of highly sensitive vibration states of nanomechanical resonators in liquid using a convolutional neural network
by: Kazuki Bessho, et al.
Published: (2024-09-01)

Object Detection via Gradient-Based Mask R-CNN Using Machine Learning Algorithms
by: Alphonse Inbaraj Xavier, et al.
Published: (2022-05-01)

Explainable AI (XAI) Techniques for Convolutional Neural Network-Based Classification of Drilled Holes in Melamine Faced Chipboard
by: Alexander Sieradzki, et al.
Published: (2024-08-01)

Leveraging compact convolutional transformers for enhanced COVID-19 detection in chest X-rays: a grad-CAM visualization approach
by: Aravinda C. V, et al.
Published: (2024-12-01)

Machine Learning Approaches for Real-Time Mineral Classification and Educational Applications
by: Paraskevas Tsangaratos, et al.
Published: (2025-02-01)

Explainability agreement between dermatologists and five visual explanations techniques in deep neural networks for melanoma AI classification
by: Mara Giavina-Bianchi, et al.
Published: (2023-08-01)

A plum selection system that uses a multi-class Convolutional Neural Network (CNN)
by: Yesid Fonseca, et al.
Published: (2023-12-01)

Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50
by: Mohamed Musthafa M, et al.
Published: (2024-05-01)

Yielding Multi-Fold Training Strategy for Image Classification of Imbalanced Weeds
by: Vo Hoang Trong, et al.
Published: (2021-04-01)

Topological Data Analysis Combined with High-Throughput Computational Screening of Hydrophobic Metal–Organic Frameworks: Application to the Adsorptive Separation of C3 Components
by: Yujuan Yang, et al.
Published: (2024-01-01)

AdvancingTire Safety: Explainable Artificial Intelligence-Powered Foreign Object Defect Detection with Xception Networks and Grad-CAM Interpretation
by: Radhwan A. A. Saleh, et al.
Published: (2024-05-01)

Coffee Disease Visualization and Classification
by: Milkisa Yebasse, et al.
Published: (2021-06-01)

Saliency Map and Deep Learning in Binary Classification of Brain Tumours
by: Wojciech Chmiel, et al.
Published: (2023-05-01)

Explainable AI in Scene Understanding for Autonomous Vehicles in Unstructured Traffic Environments on Indian Roads Using the Inception U-Net Model with Grad-CAM Visualization
by: Suresh Kolekar, et al.
Published: (2022-12-01)

TDA SegUNet: Topological Data Analysis-Based Shape-Aware Brain Tumor Segmentation
by: Ansar Rahman, et al.
Published: (2025-01-01)

Tomato Health Monitoring System: Tomato Classification, Detection, and Counting System Based on YOLOv8 Model With Explainable MobileNet Models Using Grad-CAM++
by: Luyl-Da Quach, et al.
Published: (2024-01-01)

Explainable Automated TI-RADS Evaluation of Thyroid Nodules
by: Alisa Kunapinun, et al.
Published: (2023-08-01)

Solar Wind Prediction Using Deep Learning
by: Vishal Upendran, et al.
Published: (2020-09-01)