David S. Ebert
Computer Vision and Pattern Recognition · 1994–2018
A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 30 citations into it; #15,413 of 21,575 by trust here, #12,689 by citations
- Artificial Intelligence — 24 citations into it
- Computer Graphics and Computer-Aided Design — 9 citations into it; #929 of 1,584 by trust here, #1,034 by citations
- Information Systems — 9 citations into it
- Natural Language Processing — 6 citations into it
Whom David S. Ebert trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts David S. Ebert overall
- Melanie Tory
- Hussein Hazimeh
- Li-Yi Wei
- Torsten Möller
- Klaus Engel
- Natalia Ponomareva
- Ruben Michaël Smelik
- Marc Levoy
- P. Mol
- Marco Tarini
Papers from David S. Ebert's perspective
Ordered by how strongly the researchers David S. Ebert trusts endorse each paper. Same corpus, a different order for every researcher.
- Et al
- Latent Dirichlet Allocation
- GloVe: Global Vectors for Word Representation
- Scikit-learn: Machine Learning in Python
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- Finding scientific topics
- Foundations of Statistical Natural Language Processing
- A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
- The steerable pyramid: a flexible architecture for multi-scale derivative computation
- ModelTracker: Redesigning Performance Analysis Tools for Machine Learning
Their papers
- Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models (2018) — 221 citations
- The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation (2010) — 381 citations
- Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition (2012) — 295 citations
- A Survey of Procedural Noise Functions (2010) — 220 citations
- Texturing & modeling : a procedural approach : 日本語版 (2009)
- Volume illustration: non-photorealistic rendering of volume models (2000) — 377 citations
- Texturing and Modeling: A Procedural Approach (1994)