Borhan Molazem Sanandaji

Electrical and Electronic Engineering · 2013–2017

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 34 citations into it
• Computational Mechanics — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Control and Systems Engineering — 5 citations into it
• Global and Planetary Change — 5 citations into it
• Signal Processing — 5 citations into it

Whom Borhan Molazem Sanandaji trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Joel A. Tropp
2. Julija Tastu
3. A. Taşcıkaraoǧlu
4. Amanda S. Hering
5. Yonina C. Eldar
6. Alex Graves
7. Marc G. Genton
8. Johanna L. Mathieu
9. Ning Lu
10. Pierre Pinson

Who trusts Borhan Molazem Sanandaji overall

1. Amir Ghaderi
2. Linna Zhao
3. Faezeh Ghaderi
4. He Hao
5. Nikolaos G. Paterakis

Papers from Borhan Molazem Sanandaji's perspective

Ordered by how strongly the researchers Borhan Molazem Sanandaji trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. ImageNet: A large-scale hierarchical image database
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Generating Sequences With Recurrent Neural Networks
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Exploiting sparsity of interconnections in spatio-temporal wind speed forecasting using Wavelet Transform (2016) — 161 citations
• Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting (2017) — 115 citations
• Aggregate Flexibility of Thermostatically Controlled Loads (2015)
• Low-dimensional models in spatio-temporal wind speed forecasting (2015) — 26 citations
• Improved battery models of an aggregation of Thermostatically Controlled Loads for frequency regulation (2013) — 36 citations