Giancarlo Fortino
Artificial Intelligence · 2013–2021
A researcher in the Science corpus: 11 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 127 citations into it
- Computer Vision and Pattern Recognition — 115 citations into it
- Computer Networks and Communications — 90 citations into it
- Electrical and Electronic Engineering — 23 citations into it; #11,254 of 16,539 by trust here, #14,827 by citations
- Media Technology — 11 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
Whom Giancarlo Fortino trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Giancarlo Fortino overall
Papers from Giancarlo Fortino's perspective
Ordered by how strongly the researchers Giancarlo Fortino 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)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Reinforcement Learning: An Introduction
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- A survey on deep learning in medicine: Why, how and when? (2021) — 306 citations
- Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges (2017) — 836 citations
- Wireless MEMS-Based Accelerometer Sensor Boards for Structural Vibration Monitoring: A Review (2017) — 276 citations
- An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0 (2019) — 305 citations
- Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges (2021) — 572 citations
- Smart Anomaly Detection in Sensor Systems (2020) — 313 citations
- A hybrid deep learning model for efficient intrusion detection in big data environment (2020) — 330 citations
- A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification (2019) — 376 citations
- Evaluating Critical Security Issues of the IoT World: Present and Future Challenges (2018) — 614 citations
- Security and trust issues in Fog computing: A survey (2018) — 313 citations
- Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications (2013) — 388 citations