Junaid Qadir
Artificial Intelligence · 2016–2023
A researcher in the Science corpus: 10 papers; trusts 81 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 299 citations into it; #11,813 of 35,345 by trust here, #15,866 by citations
- Computer Vision and Pattern Recognition — 97 citations into it
- Computer Networks and Communications — 96 citations into it; #6,900 of 9,886 by trust here, #6,788 by citations
- Safety, Robustness & Interpretability — 81 citations into it
- Radiology, Nuclear Medicine and Imaging — 73 citations into it; #587 of 3,265 by trust here, #1,783 by citations
- Statistical and Nonlinear Physics — 72 citations into it
- Molecular Biology — 58 citations into it
- Health Informatics — 45 citations into it; #24 of 240 by trust here, #161 by citations
Whom Junaid Qadir trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Teo Sušnjak
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Ruslan Salakhutdinov
- Diederik P. Kingma
- Kaiming He
- Ilya Sutskever
- Radford M. Neal
Who trusts Junaid Qadir overall
- Cecilia Ka Yuk Chan
- Shakked Noy
- Louisa H.Y. Tsi
- Whitney Zhang
- Daisy Yan
- Chaoyun Zhang
- Firuz Kamalov
- Amr M. Mohamed
- Paul Patras
Papers from Junaid Qadir's perspective
Ordered by how strongly the researchers Junaid Qadir trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Neural networks in wireless networks: Techniques, applications and guidelines (2016) — 68 citations
- Community detection in networks: A multidisciplinary review (2018) — 449 citations
- Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education (2023) — 743 citations
- Intelligent Building Control Systems for Thermal Comfort and Energy-Efficiency: A Systematic Review of Artificial Intelligence-Assisted Techniques (2021) — 367 citations
- Explainable, trustworthy, and ethical machine learning for healthcare: A survey (2021) — 320 citations
- Leveraging Data Science to Combat COVID-19: A Comprehensive Review (2020) — 238 citations
- Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review (2020) — 323 citations
- Secure and Robust Machine Learning for Healthcare: A Survey (2020) — 471 citations
- Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges (2017) — 433 citations
- Big Data in the construction industry: A review of present status, opportunities, and future trends (2016) — 661 citations