Martin C. Stumpe
Astronomy and Astrophysics · 2012–2019
A researcher in the Science corpus: 15 papers; trusts 44 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Astronomy and Astrophysics — 109 citations into it
- Computer Vision and Pattern Recognition — 82 citations into it
- Artificial Intelligence — 72 citations into it; #34,231 of 35,345 by trust here, #6,014 by citations
- Atomic and Molecular Physics, and Optics — 9 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Aerospace Engineering — 6 citations into it
Whom Martin C. Stumpe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jon M. Jenkins
- Donald B. Percival
- Alex Krizhevsky
- Geoffrey E. Hinton
- Jeffrey C. Smith
- Jianguo Zhang
- Christian Szegedy
- Matthew D. Zeiler
- Ilya Sutskever
- Andrew T. Walden
Who trusts Martin C. Stumpe overall
- A. McQuillan
- T. Reinhold
- Christopher J. Shallue
- Suzanne Aigrain
- T. Mazeh
- Laurent Gizon
- Andrew Vanderburg
- C. Burke
- E. Petigura
- Hiroyuki Maehara
Papers from Martin C. Stumpe's perspective
Ordered by how strongly the researchers Martin C. Stumpe trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Ontological supervision for fine grained classification of Street View storefronts (2015) — 84 citations
- Detecting Cancer Metastases on Gigapixel Pathology Images (2017) — 676 citations
- Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making (2019) — 468 citations
- Similar image search for histopathology: SMILY (2019) — 154 citations
- Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer (2018) — 410 citations
- Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer (2018) — 458 citations
- Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists. (2018) — 318 citations
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. (2016) — 6,915 citations
- Multiscale Systematic Error Correction via Wavelet-Based Bandsplitting in Kepler Data (2014) — 408 citations
- Kepler Presearch Data Conditioning I—Architecture and Algorithms for Error Correction in Kepler Light Curves (2012) — 590 citations
- The Derivation, Properties, and Value of Kepler’s Combined Differential Photometric Precision (2012) — 207 citations
- FUNDAMENTAL PROPERTIES OF STARS USING ASTEROSEISMOLOGY FROM KEPLER AND CoRoT AND INTERFEROMETRY FROM THE CHARA ARRAY (2012) — 188 citations
- Kepler Presearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction (2012) — 684 citations
- PLANETARY CANDIDATES OBSERVED BY KEPLER. III. ANALYSIS OF THE FIRST 16 MONTHS OF DATA (2012) — 937 citations
- Probing the core structure and evolution of red giants using gravity-dominated mixed modes observed with Kepler (2012) — 195 citations