Copertina

Using deep learning to enhance electronic service quality: Application to real estate websites

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Elnagar, Samaa
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
di: Oliveira, Guilherme C., et al.
Pubblicazione: (2022)

Automatic location detection based on deep learning
di: Karangiya, Anjali, et al.
Pubblicazione: (2024)

Knowledge Distillation Approach for SOS Fusion Staging: Towards Fully Automated Skeletal Maturity Assessment
di: Milani, Omid Halimi, et al.
Pubblicazione: (2025)

An inclusive review on deep learning techniques and their scope in handwriting recognition
di: Singh, Sukhdeep, et al.
Pubblicazione: (2024)

Revising deep learning methods in parking lot occupancy detection
di: Martynova, Anastasia, et al.
Pubblicazione: (2023)

Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
di: Mumuni, Fuseinin, et al.
Pubblicazione: (2024)

Progressive Deep Learning for Automated Spheno-Occipital Synchondrosis Maturation Assessment
di: Milani, Omid Halimi, et al.
Pubblicazione: (2026)

Interpretable deformable image registration: A geometric deep learning perspective
di: Sideri-Lampretsa, Vasiliki, et al.
Pubblicazione: (2024)

Probabilistic road classification in historical maps using synthetic data and deep learning
di: Mühlematter, Dominik J., et al.
Pubblicazione: (2024)

BenthicNet: A global compilation of seafloor images for deep learning applications
di: Lowe, Scott C., et al.
Pubblicazione: (2024)

The effect of variable labels on deep learning models trained to predict breast density
di: Squires, Steven, et al.
Pubblicazione: (2022)

Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning
di: Baniecki, Hubert, et al.
Pubblicazione: (2025)

Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets
di: Milani, Omid Halimi, et al.
Pubblicazione: (2025)

Buffer replay enhances the robustness of multimodal learning under missing-modality
di: Zhu, Hongye, et al.
Pubblicazione: (2025)

InfoGNN: End-to-end deep learning on mesh via graph neural networks
di: Gao, Ling, et al.
Pubblicazione: (2025)

Bridging visual saliency and large language models for explainable deep learning in medical imaging
di: Nguezet, Paul Valery, et al.
Pubblicazione: (2026)

Importance of realism in procedurally-generated synthetic images for deep learning: case studies in maize and canola
di: Khan, Nazifa Azam, et al.
Pubblicazione: (2024)

Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging
di: Zheng, Guangyao, et al.
Pubblicazione: (2023)

Automated detection of motion artifacts in brain MR images using deep learning and explainable artificial intelligence
di: Jimeno, Marina Manso, et al.
Pubblicazione: (2024)

LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart
di: Narayanan, Arjun, et al.
Pubblicazione: (2023)

Searching for internal symbols underlying deep learning
di: Lee, Jung H., et al.
Pubblicazione: (2024)

Binocular Model: A deep learning solution for online melt pool temperature analysis using dual-wavelength Imaging Pyrometry
di: Akhavan, Javid, et al.
Pubblicazione: (2024)

SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data
di: Wielgosz, Maciej, et al.
Pubblicazione: (2024)

Leaf diseases detection using deep learning methods
di: Fatimi, El Houcine El
Pubblicazione: (2024)

Extracting real estate values of rental apartment floor plans using graph convolutional networks
di: Takizawa, Atsushi
Pubblicazione: (2023)

Applications of deep generative models to DNA reaction kinetics and to cryogenic electron microscopy
di: Zhang, Chenwei
Pubblicazione: (2026)

DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery
di: Alisjahbana, Irene, et al.
Pubblicazione: (2024)

Detecting spills using thermal imaging, pretrained deep learning models, and a robotic platform
di: Yeghiyan, Gregory, et al.
Pubblicazione: (2025)

Mapping waterways worldwide with deep learning
di: Pierson, Matthew, et al.
Pubblicazione: (2024)

Challenges in explaining deep learning models for data with biological variation
di: Tětková, Lenka, et al.
Pubblicazione: (2024)

A deep learning framework for glomeruli segmentation with boundary attention
di: Elhaminia, Behnaz, et al.
Pubblicazione: (2026)

Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis
di: Sellner, Jan, et al.
Pubblicazione: (2024)

Adaptive few-shot learning for robust part quality classification in two-photon lithography
di: Jia, Sixian, et al.
Pubblicazione: (2026)

Towards agricultural autonomy: crop row detection under varying field conditions using deep learning
di: de Silva, Rajitha, et al.
Pubblicazione: (2021)

Hybrid deep convolution model for lung cancer detection with transfer learning
di: Saxena, Sugandha, et al.
Pubblicazione: (2025)

A weakly-supervised deep learning model for fast localisation and delineation of the skeleton, internal organs, and spinal canal on Whole-Body Diffusion-Weighted MRI (WB-DWI)
di: Candito, A., et al.
Pubblicazione: (2025)

Domain-randomized deep learning for neuroimage analysis
di: Hoffmann, Malte
Pubblicazione: (2025)

Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
di: Gallone, Guglielmo, et al.
Pubblicazione: (2024)

On margin-based generalization prediction in deep neural networks
di: Mouton, Coenraad
Pubblicazione: (2024)

Are classical deep neural networks weakly adversarially robust?
di: Sun, Nuolin, et al.
Pubblicazione: (2025)