Eric A. Stone

Orcid: 0000-0002-1647-9808

According to our database1, Eric A. Stone authored at least 10 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Spatial transcriptomics analysis of gene expression prediction using exemplar guided graph neural network.
Pattern Recognit., January, 2024

Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction.
CoRR, 2024

Topological deep learning: a review of an emerging paradigm.
Artif. Intell. Rev., 2024

Convolutional Masked Image Modeling for Dense Prediction Tasks on Pathology Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers.
CoRR, 2022

Biomass Prediction with 3D Point Clouds from LiDAR.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

ISG: I can See Your Gene Expression.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2014
Structural properties of the minimum cut of partially-supplied graphs.
Discret. Appl. Math., 2014

2007
Constructing a meaningful evolutionary average at the phylogenetic center of mass.
BMC Bioinform., 2007


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