Antonio Liotta
Artificial Intelligence · 2014–2022
A researcher in the Science corpus: 11 papers; trusts 170 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 170 citations into it; #21,467 of 35,345 by trust here, #11,072 by citations
- Computer Vision and Pattern Recognition — 148 citations into it; #16,923 of 21,575 by trust here, #12,992 by citations
- Signal Processing — 55 citations into it
- Probabilistic & Bayesian Methods — 31 citations into it
- Media Technology — 23 citations into it
- Statistical and Nonlinear Physics — 22 citations into it
- Reinforcement Learning — 21 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
Whom Antonio Liotta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ruslan Salakhutdinov
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Diederik P. Kingma
- Hugo Larochelle
- Ilya Sutskever
- Radford M. Neal
Who trusts Antonio Liotta overall
Papers from Antonio Liotta's perspective
Ordered by how strongly the researchers Antonio Liotta 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- GENERATIVE ADVERSARIAL NETS
Their papers
- Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science (2017) — 750 citations
- Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data (2016) — 27 citations
- On-Line Building Energy Optimization Using Deep Reinforcement Learning (2017) — 552 citations
- An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0 (2019) — 305 citations
- Big IoT data mining for real-time energy disaggregation in buildings (2016) — 42 citations
- A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances (2022) — 552 citations
- Smart Anomaly Detection in Sensor Systems (2020) — 313 citations
- Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map (2019) — 299 citations
- Spatial anomaly detection in sensor networks using neighborhood information (2017) — 139 citations
- A topological insight into restricted Boltzmann machines (2016) — 102 citations
- Deep learning for objective quality assessment of 3D images (2014) — 38 citations