Paper Citation Record · LEDGER

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification

As of 12 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.24160.

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pith.paper-citation-record.v1
2607.24160 v1

Coverage vector

measured 48 of 48 reference resolution

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Outbound references

Observation 24c5b75e-16a4-4f02-9a79-38b3ac20a486 · outbound

This paper cites doi:10.1109/ICMEW63481.2024.10645460.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification doi:10.1109/ICMEW63481.2024.10645460

Reference 9

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This paper cites Computers and Electronics in Agriculture 237, 110406.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Computers and Electronics in Agriculture 237, 110406

Reference 10

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This paper cites Hyperspectral and LiDAR data classification based on linear self-attention.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Hyperspectral and LiDAR data classification based on linear self-attention

Reference 14

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This paper cites The Annals of Statistics 29, 1189–1232.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification The Annals of Statistics 29, 1189–1232

Reference 15

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This paper cites Revisiting Deep Learning Models for Tabular Data.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Revisiting Deep Learning Models for Tabular Data

Reference 19

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This paper cites Vadose Zone Journal 17, 180061.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Vadose Zone Journal 17, 180061

Reference 24

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Observation 7dcf6736-4678-4b0f-b547-e144c0dfeea9 · outbound

This paper cites A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples

Reference 25

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This paper cites NormalView: tree species classification from backpack and aerial lidar data using geometric projections.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification NormalView: tree species classification from backpack and aerial lidar data using geometric projections

Reference 27

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This paper cites Lefsky, M.A., Cohen, W.B., Parker, G.G., Harding, D.J.,.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Lefsky, M.A., Cohen, W.B., Parker, G.G., Harding, D.J.,

Reference 28

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This paper cites Deep Learning for Hyperspectral Image Classification: An Overview.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Deep Learning for Hyperspectral Image Classification: An Overview

Reference 30

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This paper cites PCTreeS: 3D Point Cloud Tree Species Classification Using Airborne LiDAR Images.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification PCTreeS: 3D Point Cloud Tree Species Classification Using Airborne LiDAR Images

Reference 31

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Observation 123753ab-c2e7-4083-bbbe-1a142ad84c48 · outbound

This paper cites Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN).

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)

Reference 32

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This paper cites MethodsinEcologyandEvolution13,1866–1884.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification MethodsinEcologyandEvolution13,1866–1884

Reference 34

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This paper cites Ecography 40, 913–929.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Ecography 40, 913–929

Reference 37

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This paper cites Information Fusion 81, 84–90.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Information Fusion 81, 84–90

Reference 38

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Observation ea5e08a8-837b-452b-98da-700dac2a31a7 · outbound

This paper cites Information Processing & Management 45, 427–437.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Information Processing & Management 45, 427–437

Reference 39

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This paper cites Remote Sensing of Environment 231, 111199.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Remote Sensing of Environment 231, 111199

Reference 40

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification 2818–2826

Reference 41

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Observation 575577a5-6327-4d66-a65b-586973d7a34d · outbound

This paper cites Methods in Ecology and Evolution 10, 225–232.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Methods in Ecology and Evolution 10, 225–232

Reference 43

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This paper cites Continental-scale land cover mapping at 10 m resolution over Europe (ELC10).

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Continental-scale land cover mapping at 10 m resolution over Europe (ELC10)

Reference 44

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This paper cites HSLiNets: Evaluating Band Ordering Strategies in Hyperspectral and LiDAR Fusion.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification HSLiNets: Evaluating Band Ordering Strategies in Hyperspectral and LiDAR Fusion

Reference 47

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This paper cites Datta, D., Paul, M., Murshed, M., Teng, S.W., Schmidtke, L.M., 2023b.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Datta, D., Paul, M., Murshed, M., Teng, S.W., Schmidtke, L.M., 2023b

Reference 77

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This paper cites Valavi, R., Elith, J., Lahoz-Monfort, J.J., Guillera-Arroita, G.,.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Valavi, R., Elith, J., Lahoz-Monfort, J.J., Guillera-Arroita, G.,

Reference 1135

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This paper cites Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Tree species classification at the pixel-level using deep learning and multispectral time series in an imbalanced context

Reference 1947

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification The Annals of Statistics 7, 1–26

Reference 1979

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Neural Networks 5, 241–259

Reference 1992

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Remote Sensing of Environment 58, 257–266

Reference 1996

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Machine Learning 45, 5–32

Reference 2001

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification BioScience 52, 19–30

Reference 2002

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Computational Biology and Chemistry 28, 367–374

Reference 2004

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This paper cites Journal of the Royal Statistical Society: Series B 67, 301–320.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Journal of the Royal Statistical Society: Series B 67, 301–320

Reference 2005

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Machine Learning 63, 3–42

Reference 2006

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Journal of the American Statistical Association 102, 359–378

Reference 2007

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification IEEE Transactions on Knowledge and Data Engineering 21, 1263–1284

Reference 2009

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This paper cites Journal of Applied Remote Sensing 4, 043510.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Journal of Applied Remote Sensing 4, 043510

Reference 2010

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community

Reference 2017

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification URL:https://doi.org/10.15485/1602034, doi:10.15485/1602034

Reference 2018

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 41, 423–443.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification IEEE Transactions on Pattern Analysis and Machine Intelligence 41, 423–443

Reference 2019

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 2020

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification TabNet: Attentive Interpretable Tabular Learning

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Why do tree-based models still outperform deep learning on tabular data?

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Lidar-based Norwegian tree species detection using deep learning

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Image Fusion in Remote Sensing: An Overview and Meta Analysis

Reference 2024

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Ecology 106, e70078

Reference 2025

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification IEEE Transactions on Geoscience and Remote Sensing 64, 1–16

Reference 2026

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., et al.,

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Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Reference 4546

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