Julia Handl

Artificial Intelligence · 2005–2011

A researcher in the Science corpus: 5 papers; trusts 57 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #7,251 of 35,345 by trust here, #13,163 by citations
• Molecular Biology — 28 citations into it; #4,642 of 17,773 by trust here, #9,727 by citations
• Computational Theory and Mathematics — 18 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Signal Processing — 8 citations into it
• Statistics and Probability — 8 citations into it
• Model Architectures — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Julia Handl trusts overall

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

1. Robert Tibshirani
2. Anil K. Jain
3. Peter J. Rousseeuw
4. Martin Ester
5. Joshua D. Knowles
6. Alexander P. Topchy
7. David Ruppert
8. Alexander Strehl
9. Geoffrey J. McLachlan
10. Carlos Artemio Coello Coello

Who trusts Julia Handl overall

1. Clara Pizzuti
2. David Broadhurst
3. Satyasai Jagannath Nanda
4. Douglas B. Kell
5. Laith Mohammad Abualigah
6. A. Chaimani
7. Maximilian Hüttenrauch
8. Sandro Vega-Pons
9. Sophia Ananiadou
10. Ganapati Panda

Papers from Julia Handl's perspective

Ordered by how strongly the researchers Julia Handl 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. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Ant-based and swarm-based clustering (2007) — 169 citations
• Computational cluster validation in post-genomic data analysis (2005) — 988 citations
• Multiobjective Optimization in Bioinformatics and Computational Biology (2007) — 304 citations
• The dual role of fragments in fragment-assembly methods for de novo protein structure prediction (2011) — 51 citations
• An Evolutionary Approach to Multiobjective Clustering (2007) — 671 citations