Abebe Abeshu Diro

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #18,198 of 35,345 by trust here, #20,377 by citations

Whom Abebe Abeshu Diro trusts overall

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

1. Weizhong Yan
2. Lijie Yu
3. Ivan Stojmenovic
4. Mayu Sakurada
5. Yoshua Bengio
6. Mahbod Tavallaee
7. Li Deng

Who trusts Abebe Abeshu Diro overall

1. Daniel S. Berman
2. Syeda Manjia Tahsien
3. Mohammed Ali Al-Garadi
4. Anna L. Buczak
5. Nadia Chaabouni
6. H. Hua
7. Jeffrey S. Chavis
8. Fatima Hussain
9. Hadis Karimipour
10. Amr M. Mohamed

Papers from Abebe Abeshu Diro's perspective

Ordered by how strongly the researchers Abebe Abeshu Diro trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Learning Multiple Layers of Features from Tiny Images
9. A Fast Learning Algorithm for Deep Belief Nets
10. Going deeper with convolutions

Their papers

• Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing (2018) — 326 citations
• Distributed attack detection scheme using deep learning approach for Internet of Things (2017) — 901 citations