Cover Image

Semi-Supervised Ensemble Model For Semantic Segmentation Of Semi-Dark Images

Saved in:

Bibliographic Details
Main Author:	Memon, Mehak Maqbool
Format:	Thesis
Language:	English
Published:	2022
Online Access:	http://utpedia.utp.edu.my/id/eprint/27969/1/Mehak%20Maqbool%20Memon_19001057.pdf http://utpedia.utp.edu.my/id/eprint/27969/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid automation of student activity records in virtual learning environments in semi-dark scenarios
by: Hashmani, Manzoor Ahmed, et al.
Published: (2023)

Hybrid automation of student activity records in virtual learning environments in semi-dark scenarios
by: Hashmani, Manzoor Ahmed, et al.
Published: (2023)

Semi-supervised learning for sentiment classification with ensemble multi-classifier approach
by: Aribowo, Agus Sasmito, et al.
Published: (2022)

Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++)
by: Hashmani, M.A., et al.
Published: (2022)

Supervised, unsupervised, and semi-supervised feature selection: a review on gene selection
by: Ang, J. C., et al.
Published: (2016)

Semi-supervised topo-Bayesian ARTMAP for noisy data
by: Nooralishahi, Parham, et al.
Published: (2018)

Cross-lingual sentiment classification using semi-supervised learning
by: Hajmohammadi, Mohammad Sadegh
Published: (2015)

New ensemble models for shallow landslide susceptibility modeling in a semi-arid watershed
by: Bui, Dieu Tien, et al.
Published: (2019)

Semantic Segmentation for Visually Adverse Images - A Critical Review
by: Hashmani, M.A., et al.
Published: (2020)

Incorporating Informative Score For Instance Selection In Semi-supervised Sentiment Classification
by: Vivian, Lee Lay Shan
Published: (2022)

Mutual character dialogue generation with semi‑supervised multitask learners and awareness
by: Khalaf, Ayesheh Ahrari, et al.
Published: (2024)

Graph-based semi-supervised learning for cross-lingual sentiment classification
by: Hajmohammadi, M. S., et al.
Published: (2015)

Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
by: Ganesh , Krishnasamy
Published: (2019)

Unravelling social media racial discriminations through a semi-supervised approach
by: Balakrishnan, Vimala, et al.
Published: (2022)

Dynamic android malware category classification using semi-supervised deep learning
by: Mahdavifar, Samaneh, et al.
Published: (2020)

Hyper-heuristic framework for sequential semi-supervised classification based on core clustering
by: Adnan, Ahmed, et al.
Published: (2020)

APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN
by: SARI, YUNITA SARI
Published: (2011)

Biological-based semi-supervised clustering algorithm to improve gene function prediction
by: Kasim, Shahreen, et al.
Published: (2011)

Bi-view semi-supervised active learning for cross-lingual sentiment classification
by: Hajmohammadi, Mohammad Sadegh, et al.
Published: (2014)

Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification
by: Amin, I., et al.
Published: (2023)

Abnormal Transactions Detection In The Ethereum Network Using Semi-Supervised Generative Adversarial Networks
by: Mahmoud Al-Emari, Salam Radi
Published: (2022)

Prototype regularized manifold regularization technique for semi-supervised online extreme learning machine
by: Muhammad Zaly Shah, Muhammad Zafran, et al.
Published: (2022)

Controlled islanding strategy for power systems based on flexible semi-supervised spectral clustering
by: Azadian, Farshad
Published: (2014)

Controlled islanding strategy for power systems based on flexible semi-supervised spectral clustering
by: Azadian, Farshad, et al.
Published: (2013)

Alternate methods for anomaly detection in high-energy physics via semi-supervised learning
by: Md. Ali, Mohd. Adli, et al.
Published: (2020)

Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios
by: Zeinab Mahmoud, et al.
Published: (2023)

AUTOMATED GEOLOGICAL INTERPRETATION IN 3D SEISMIC DATA USING SEMI-SUPERVISED LEARNING
by: PRATAMA, HADYAN
Published: (2023)

A semi-supervised approach in detecting sentiment and emotion based on digital payment reviews
by: Balakrishnan, Vimala, et al.
Published: (2021)

U-ASD Net: supervised crowd counting based on semantic segmentation and adaptive scenario discovery
by: Hafeezallah, Adel, et al.
Published: (2021)

Urban Expansion Analysis Using Semi- Supervised Classification (SSIC) of Landsat-5 Image: A Case Study in Kuantan, Malaysia
by: Syeda Maria, Zaidi, et al.
Published: (2017)

Semi-supervise d GAN-base d radiomics model for data augmentation in breast ultrasound mass classification
by: Pang, Ting, et al.
Published: (2021)

Automated Geological Features Detection in 3D Seismic Data Using Semi-Supervised Learning
by: Pratama, H., et al.
Published: (2022)

Automated geological features detection in 3D seismic data using semi-supervised learning
by: Pratama, Hadyan, et al.
Published: (2022)

An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction
by: Abaei, Golnoush, et al.
Published: (2015)

Semi-Supervised Learning for limited medical data using Generative Adversarial Network and Transfer Learning
by: Amin, I., et al.
Published: (2020)

A hybrid approach to semi-supervised named entity recognition in health, safety and environment reports
by: Sari, Y., et al.
Published: (2009)

Indoor positioning using semi supervised fingerprint building technique based on crowd sourced information
by: Toh, Cornelius Dong Tou
Published: (2020)

Ontology-based semantic image segmentation using mixture models and multiple CRFs
by: Zand, Mohsen, et al.
Published: (2016)

Semi-supervised SVM-based feature selection for cancer classification using microarray gene expression data
by: Ang, Jun Chin, et al.
Published: (2015)

Analysis of parameters' effects in semi-automated knee cartilage segmentation model: Data from the osteoarthritis initiative
by: Gan, H. S., et al.
Published: (2016)