Panagiotis Tzirakis

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Signal Processing — 53 citations into it
• Experimental and Cognitive Psychology — 44 citations into it
• Computer Vision and Pattern Recognition — 43 citations into it
• Model Architectures — 16 citations into it
• Optimization & Training — 5 citations into it

Whom Panagiotis Tzirakis trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Yoshua Bengio
5. Alex Krizhevsky
6. Yann LeCun
7. Karen Simonyan
8. Fabien Ringeval
9. Sepp Hochreiter
10. Alex Graves

Who trusts Panagiotis Tzirakis overall

1. Dimitrios Kollias
2. .. Mustaqeem
3. Ruhul Amin Khalil
4. Yan Wang
5. Muhammad Sajjad
6. Devamanyu Hazarika

Papers from Panagiotis Tzirakis's perspective

Ordered by how strongly the researchers Panagiotis Tzirakis 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017) — 648 citations
• An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era (2022) — 105 citations
• Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond (2018) — 518 citations