Panagiotis-Christos Kotsias

Journal of Cheminformatics · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Panagiotis-Christos Kotsias trusts overall

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

1. Andrew L. Maas

Papers from Panagiotis-Christos Kotsias's perspective

Ordered by how strongly the researchers Panagiotis-Christos Kotsias trusts endorse each paper. Same corpus, a different order for every researcher.

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Improved Training of Wasserstein GANs
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Adversarial Autoencoders
7. Gradient-based learning applied to document recognition
8. Scikit-learn: Machine Learning in Python
9. Rectifier Nonlinearities Improve Neural Network Acoustic Models
10. Progressive Growing of GANs for Improved Quality, Stability, and Variation

Their papers

• A de novo molecular generation method using latent vector based generative adversarial network (2019) — 356 citations