Soteris A. Kalogirou
Model Architectures · 2000–2021
A researcher in the Science corpus: 13 papers; trusts 5 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Model Architectures — 9 citations into it
- Statistical Learning Theory — 8 citations into it
- Cognitive Science & Psychology — 5 citations into it
Whom Soteris A. Kalogirou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Simon S. Haykin
- Paul J. Werbos
- David E. Rumelhart
- Tomaso A. Poggio
- David E. Goldberg
- James L. McClelland
- Geoffrey E. Hinton
Who trusts Soteris A. Kalogirou overall
- M. Mohanraj
- S. Jayaraj
- Om Prakash
- Ilhan Asiltürk
- Hikmet Esen
- C. Muraleedharan
- Wenyan Wu
- Fazil Kaytez
- Dionysia S. Kolokotsa
- Saleh Seyedzadeh
Papers from Soteris A. Kalogirou's perspective
Ordered by how strongly the researchers Soteris A. Kalogirou trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
- Going deeper with convolutions
Their papers
- Machine learning methods for solar radiation forecasting: A review (2017) — 1,563 citations
- A review of the applications of nanofluids in solar energy (2013) — 1,291 citations
- Artificial neural networks in renewable energy systems applications: a review (2001) — 1,128 citations
- Artificial intelligence techniques for photovoltaic applications: A review (2008) — 951 citations
- Applications of artificial neural-networks for energy systems (2000) — 777 citations
- Machine learning technology in biodiesel research: A review (2021) — 361 citations
- Fault detection and diagnosis methods for photovoltaic systems: A review (2018) — 474 citations
- A review on pulsating heat pipes: From solar to cryogenic applications (2018) — 184 citations
- A detailed thermal model of a parabolic trough collector receiver (2012) — 300 citations
- Artificial intelligence techniques for sizing photovoltaic systems: A review (2009) — 423 citations
- Thermal performance, economic and environmental life cycle analysis of thermosiphon solar water heaters (2009) — 332 citations
- Artificial intelligence for the modeling and control of combustion processes: a review (2003) — 616 citations
- Measures used to lower building energy consumption and their cost effectiveness (2002) — 248 citations