Eduardo R. Hruschka
Artificial Intelligence · 2006–2014
A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 84 citations into it; #8,078 of 35,345 by trust here, #12,083 by citations
- Signal Processing — 22 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it; #13,152 of 21,575 by trust here, #15,162 by citations
- Statistics and Probability — 12 citations into it
- Computer Networks and Communications — 9 citations into it
- Computational Theory and Mathematics — 8 citations into it; #3,071 of 12,182 by trust here, #7,142 by citations
- Algorithms & Complexity — 6 citations into it
Whom Eduardo R. Hruschka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sanghamitra Bandyopadhyay
- Ujjwal Maulik
- David E. Goldberg
- Geoffrey G. Towell
- Kimmo Vehkalahti
- Anil K. Jain
- Ismail Abdel Hamid Taha
- Joydeep Ghosh
- Alexander Strehl
- Jude W. Shavlik
Who trusts Eduardo R. Hruschka overall
- Gethsiyal Augasta M
- Tameru Hailesilassie
- Vaishak Belle
- Thangairulappan Kathirvalavakumar
- Lale Özbakır
- Ioannis Papantonis
- Leandro Nunes de Castro
- Adil Baykasoglu
- Yongquan Yang
- Humar Kahramanli
Papers from Eduardo R. Hruschka's perspective
Ordered by how strongly the researchers Eduardo R. Hruschka trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Algorithms for Clustering Data
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
Their papers
- Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach (2006) — 94 citations
- Tweet sentiment analysis with classifier ensembles (2014) — 452 citations
- Data stream clustering: A survey (2013) — 571 citations
- Relative clustering validity criteria: A comparative overview (2010) — 365 citations
- A Survey of Evolutionary Algorithms for Clustering (2009) — 755 citations
- A fuzzy extension of the silhouette width criterion for cluster analysis (2006) — 300 citations