Search Results - "feature visualization"

Motion-based feature analysis for the design of full-body interactions in the context of computer vision and large volume spaces

Authors: Escamilla Pinilla, Antonio

Contributors: University/Department: Universitat Oberta de Catalunya. Escola de Doctorat

Thesis Advisors: Melenchón, Javier, Monzo, Carlos

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: informàtica centrada en l'ésser humà, disseny d'interacció, estudi empíric en disseny d'interacció, funció basada en el moviment, visualització de funcions, computación centrada en el ser humano, diseño de interacción, estudio empírico en diseño de interacción, función basada en movimiento, visualización de características, human-centered computing, interaction design, empirical study in interaction design, motion-based feature, feature visualization, Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/690873

Central India Medicinal Plant Dataset (CIMPD)

Authors: Singh, Rajeev Kumar Tiwari, Akhilesh Gupta, Rajendra Kumar et al.

Source: Data in Brief. 63

Subject Terms: Feature visualization, Image processing, Leaf images, Medicinal plant, Plant classification, ResNet18

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-372471
https://doi.org/10.1016/j.dib.2025.112154

Exploring the Impact of Skip Connection Structures on the Deep Neural Networks Feature Extraction Based on Feature Visualization

Authors: GUO Peilin, ZHANG De, WANG Huaixiu

Source: Jisuanji gongcheng, Vol 51, Iss 4, Pp 149-157 (2025)

Subject Terms: deep neural network, skip connection structures, feature visualization, activation maximization(am), perturbation method, interpretability, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20250415.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/3564a4426b95474bbee3115763cd994d

Interactive exploration of CNN interpretability via coalitional game theory

Authors: Lei Yang Lingmeng Lu Chao Liu et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Subject Terms: Explainable artificial intelligence, Convolutional neural network, Neuron feature visualization, Visual analytics, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/32c22fb6a263439dae24f7a1f6d1daae

IntActEval: A Continuous Framework for Quantitatively Evaluating Faithfulness of Feature Visualization Methods

Authors: Bradley Gathers Ian E. Nielsen Keith W. Soules et al.

Source: IEEE Access, Vol 13, Pp 196766-196782 (2025)

Subject Terms: Explainability, robustness, feature visualization, faithfulness, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11238242/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/95a069a2fbaf4fdcbf4e469b9fe5da2b

Semantic-guided Neural Network Critical Data Routing Path

Authors: ZHU Fukun, TENG Zhen, SHAO Wenze, GE Qi, SUN Yubao

Source: Jisuanji kexue, Vol 51, Iss 9, Pp 155-161 (2024)

Subject Terms: computer vision, deep neural networks, interpretability of neural networks, feature visualization, network pruning, heatmap, Computer software, QA76.75-76.765, Technology (General), T1-995

File Description: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-9-155.pdf; https://doaj.org/toc/1002-137X

Access URL: https://doaj.org/article/a991f693444840c2a42f1c286ad46d1d

Dynamic graph attention network based on multi-scale frequency domain features for motion imagery decoding in hemiplegic patients

Authors: Yinan Wang Lizhou Gong Yang Zhao et al.

Source: Front Neurosci
Frontiers in Neuroscience, Vol 18 (2024)

Subject Terms: brain-computer interfaces, 03 medical and health sciences, 0302 clinical medicine, feature visualization, dynamic graph attention network, motor imagery decoding, 0202 electrical engineering, electronic engineering, information engineering, Neurosciences. Biological psychiatry. Neuropsychiatry, 02 engineering and technology, stroke rehabilitaiton, RC321-571, Neuroscience

Access URL: https://pubmed.ncbi.nlm.nih.gov/39678535
https://doaj.org/article/b56ae9752bd442f088af6745a644a1eb

Comparative analysis of eukaryotic gene sequence features

Authors: Abril Ferrando, Josep Francesc

Contributors: University/Department: Universitat Pompeu Fabra. Departament de Ciències Experimentals i de la Salut

Thesis Advisors: Guigó Serra, Roderic

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: amino acid sequences, eukaryotic cells, cèl·lules, seqüències dels aminoàcids, genòmica, chicken, gallus gallus, rattus norvegicus, rat, mus musculus, mouse, gene prediction RT-PCR validation, SGP2, evaluation, geneid, comparative computational gene finding, anopheles gambiae, genome map, drosophila melanogaster, fruitfly, mosquito, human, compi, gff2aplot, gff2ps, feature visualization, U12, genome annotation, U2, splice sites, exonic gene structure, genomics, bioinformatics

File Description: application/pdf

Access URL: http://www.tdx.cat/TDX-1228107-174825
http://hdl.handle.net/10803/7108

Opening the black box: explainable deep-learning classification of wood microscopic image of endangered tree species

Authors: Chang Zheng Shoujia Liu Jiajun Wang et al.

Source: Plant Methods, Vol 20, Iss 1, Pp 1-11 (2024)

Subject Terms: Computer vision, Deep learning, Feature visualization, Image classification, Wood identification, Plant culture, SB1-1110, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://doaj.org/toc/1746-4811

Access URL: https://doaj.org/article/7e45c345971e44f3a00a70a4eb5ce0a5

Plant disease identification and pesticides recommendation using Dense Net

Authors: Srinu Banothu Karnam Madhavi K. M. V. Madan Kumar et al.

Source: Cogent Engineering, Vol 11, Iss 1 (2024)

Subject Terms: Image processing, genetic algorithm, plant disease detection, classification, feature visualization, crop diseases, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: https://doaj.org/toc/2331-1916

Access URL: https://doaj.org/article/24b3a6e4a8ec4d7c9d9cb16277a573b3

Accurate and visualiable discrimination of Chenpi age using 2D-CNN and Grad-CAM++ based on infrared spectral images

Authors: Li Jun Tang Xin Kang Li Yue Huang et al.

Source: Food Chemistry: X, Vol 23, Iss , Pp 101759- (2024)

Subject Terms: FTIR spectral image, Chenpi, 2D-CNN, Grad-CAM++, Feature visualization, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590157524006473; https://doaj.org/toc/2590-1575

Access URL: https://doaj.org/article/b620c5243d6f44799fe11b4601be7f97

Explainable AI for Enhanced Interpretation of Liver Cirrhosis Biomarkers

Authors: Greeshma Arya Ashish Bagwari Hiteshi Saini et al.

Source: IEEE Access, Vol 11, Pp 123729-123741 (2023)

Subject Terms: feature visualization, liver cirrhosis, Explainable AI, extreme gradient boosting, Electrical engineering. Electronics. Nuclear engineering, shapley additive explanations, invasive technique, TK1-9971

Access URL: https://doaj.org/article/3570a85a02c44a05a79b7aaf70e257db

The Mind’s Eye: Visualizing Class-Agnostic Features of CNNS

Authors: Stergiou, Alexandros Electronics and Informatics

Contributors: Stergiou, Alexandros Electronics and Informatics

Source: 2021 IEEE International Conference on Image Processing (ICIP). :2738-2742

Subject Terms: FOS: Computer and information sciences, Convolutional features, Feature visualization, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, CNN explainability, 02 engineering and technology

Access URL: http://arxiv.org/pdf/2101.12447
http://arxiv.org/abs/2101.12447
https://dblp.uni-trier.de/db/journals/corr/corr2101.html#abs-2101-12447
https://www.arxiv-vanity.com/papers/2101.12447/
https://arxiv.org/abs/2101.12447
https://arxiv.org/pdf/2101.12447
https://biblio.vub.ac.be/vubir/the-minds-eye-visualizing-classagnostic-features-of-cnns(73b11c57-b680-4ce0-85bb-3504dd1d8018).html

A Novel 3D Multi-Layer Convolutional Neural Networks for Lung Cancer Segmentation in CT Images

Authors: P L Chithra P Bhavani

Subject Terms: 3D Convolutional Neural Networks, Lung Cancer CT Images, K - Means Labeling, Feature Visualization, Deep Learning

Relation: https://zenodo.org/records/14557339; oai:zenodo.org:14557339; https://doi.org/10.17485/IJST/v17i13.2081

Availability: https://doi.org/10.17485/IJST/v17i13.2081
https://zenodo.org/records/14557339
https://indjst.org/articles/a-novel-3d-multi-layer-convolutional-neural-networks-for-lung-cancer-segmentation-in-ct-images

Sky-Scanning for Energy: Unveiling Rural Electricity Consumption Patterns through Satellite Imagery’s Convolutional Features

Authors: Yaofu Huang Weipan Xu Dongsheng Chen et al.

Source: ISPRS International Journal of Geo-Information, Vol 13, Iss 10, p 345 (2024)

Subject Terms: rural electricity consumption, deep convolutional features, feature visualization, geographical features, Geography (General), G1-922

Relation: https://www.mdpi.com/2220-9964/13/10/345; https://doaj.org/toc/2220-9964; https://doaj.org/article/eb6cbcbc3118403090652f13c0d86439

Availability: https://doi.org/10.3390/ijgi13100345
https://doaj.org/article/eb6cbcbc3118403090652f13c0d86439

Quantitative Monitoring Method for Conveyor Belt Deviation Status Based on Attention Guidance

Authors: Xi Zhang Zihao Yang Mengchao Zhang et al.

Source: Applied Sciences, Vol 14, Iss 16, p 6916 (2024)

Subject Terms: belt conveyor, supervised machine learning, intelligent digital monitoring, deviation detection, feature visualization, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/16/6916; https://doaj.org/toc/2076-3417; https://doaj.org/article/7153747abbbb4087939e18c877bd1faf

Availability: https://doi.org/10.3390/app14166916
https://doaj.org/article/7153747abbbb4087939e18c877bd1faf

Research on Contactless Detection of Sow Backfat Thickness Based on Segmented Images with Feature Visualization

Authors: Tingjin Cao Xuan Li Xiaolei Liu et al.

Source: Applied Sciences, Vol 14, Iss 2, p 752 (2024)

Subject Terms: backfat thickness, non-contact detection, feature visualization, residual network, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/2/752; https://doaj.org/toc/2076-3417; https://doaj.org/article/f8450ea7ca124eda8e5482349309d4a8

Availability: https://doi.org/10.3390/app14020752
https://doaj.org/article/f8450ea7ca124eda8e5482349309d4a8

User Clustering Visualization and Its Impact on Motion-Based Interaction Design

Authors: Escamilla Pinilla, Antonio Melenchón, Javier Monzo, Carlos et al.

Source: Lecture Notes in Computer Science ISBN: 9783031355950
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)

Subject Terms: machine learning, feature visualization, interaction design, motion-based feature, user clustering

File Description: application/pdf

Hidden Layer Interaction: A Co-Creative Design Fiction for Generative Models

Authors: Grabe, Imke Zhu, Jichen

Source: Grabe, I & Zhu, J 2023, 'Hidden Layer Interaction: A Co-Creative Design Fiction for Generative Models'. https://doi.org/10.48550/arXiv.2304.00266

Subject Terms: Co-creation, Generative models, Hidden layer interaction, Feature visualization, Neural network representation

Availability: https://pure.itu.dk/portal/da/publications/d7fc0a48-cc54-4ed6-acee-ae5ce9109db3
https://doi.org/10.48550/arXiv.2304.00266
https://arxiv.org/pdf/2304.00266.pdf

Unlocking Feature Visualization for Deeper Networks with Magnitude Constrained Optimization

Authors: Fel, Thomas Boissin, Thibaut Boutin, Victor et al.

Contributors: Fel, Thomas Boissin, Thibaut Boutin, Victor et al.

Source: Conference on Neural Information Processing Systems (NeurIPS), 2023 ; https://hal.science/hal-04391346 ; Conference on Neural Information Processing Systems (NeurIPS), 2023, Dec 2023, New Orleans (Louisiana), United States

Subject Terms: Explainability, Feature Visualization, XAI, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

Subject Geographic: New Orleans (Louisiana), United States

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2306.06805; hal-04391346; https://hal.science/hal-04391346; https://hal.science/hal-04391346/document; https://hal.science/hal-04391346/file/2306.06805.pdf; ARXIV: 2306.06805

Availability: https://hal.science/hal-04391346
https://hal.science/hal-04391346/document
https://hal.science/hal-04391346/file/2306.06805.pdf