Praveen Kumar Reddy Maddikunta
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 10 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 147 citations into it
- Radiology, Nuclear Medicine and Imaging — 59 citations into it
- Neurology — 8 citations into it
Whom Praveen Kumar Reddy Maddikunta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Urgen Schmidhuber
- Panagiotis I. Radoglou-Grammatikis
- Kenji Suzuki
- Arvid Lundervold
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Waseem Rawat
- Diederik P. Kingma
Papers from Praveen Kumar Reddy Maddikunta's perspective
Ordered by how strongly the researchers Praveen Kumar Reddy Maddikunta 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges (2020) — 448 citations
- An ensemble machine learning approach through effective feature extraction to classify fake news (2021) — 341 citations
- GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions (2023) — 391 citations
- Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions (2022) — 300 citations
- Industry 5.0: A survey on enabling technologies and potential applications (2021) — 1,399 citations
- Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions (2021) — 417 citations
- An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture (2020) — 394 citations
- A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU (2020) — 303 citations
- A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions (2020) — 484 citations
- Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey (2020) — 396 citations