Tanzila Saba

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Radiology, Nuclear Medicine and Imaging — 8 citations into it

Whom Tanzila Saba trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. M. F. Elrawy
2. Nickolaos Koroniotis
3. Yuri Boykov
4. Mohammed Ali Al-Garadi
5. Stephen M. Smith
6. Ali Ismail Awad
7. Nour Moustafa

Who trusts Tanzila Saba overall

1. Jian Wang

Papers from Tanzila Saba's perspective

Ordered by how strongly the researchers Tanzila Saba trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet Large Scale Visual Recognition Challenge
4. ImageNet classification with deep convolutional neural networks
5. Identity Mappings in Deep Residual Networks
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Anomaly-based intrusion detection system for IoT networks through deep learning model (2022) — 378 citations
• Brain tumor detection using fusion of hand crafted and deep learning features (2020) — 371 citations
• A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks (2019) — 357 citations
• Medical Image Segmentation Methods, Algorithms, and Applications (2014) — 330 citations