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Tablext: A combined neural network and heuristic based table extractor

https://doi.org/10.1016/j.array.2022.100220

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-46805-6openalex-snapshot

Shape, Contour and Grouping in Computer Vision

inferredcites →https://doi.org/10.1109/das38526.2016openalex-snapshot

2016 12th IAPR Workshop on Document Analysis Systems (DAS)

inferredcites →https://doi.org/10.1109/das42743.2018openalex-snapshot

2018 13th IAPR International Workshop on Document Analysis Systems (DAS)

inferredcites →https://doi.org/10.1109/icdar15793.2009openalex-snapshot

2009 10th International Conference on Document Analysis and Recognition

inferredcites →https://doi.org/10.1109/icdar31910.2013openalex-snapshot

2013 12th International Conference on Document Analysis and Recognition

inferredcites →https://doi.org/10.1109/icdar48486.2019openalex-snapshot

2019 International Conference on Document Analysis and Recognition (ICDAR)

inferredcites →https://doi.org/10.1109/tcsi.2021.3065332openalex-snapshot

Applications of Artificial Intelligence on the Modeling and Optimization for Analog and Mixed-Signal Circuits: A Review

inferredcites →https://doi.org/10.1145/1815330.1815339openalex-snapshot

Table detection in heterogeneous documents

inferredcites →https://doi.org/10.1145/331499.331504openalex-snapshot

Data clustering

inferredcites →https://doi.org/10.1145/860435.860479openalex-snapshot

Table extraction using conditional random fields

inferredcites →https://doi.org/10.3115/980432openalex-snapshot

Proceedings of the 17th international conference on Computational linguistics -

inferredcites →https://doi.org/10.4230/oasics.ng-res.2024.2openalex-snapshot

A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Machine-based identification system via optical character recognition

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An automatic selective PDF table-extraction method for collecting materials data from literature

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ResneSt-Transformer: Joint attention segmentation-free for end-to-end handwriting paragraph recognition model

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The future of libraries: Integrating pepper and computer vision for smart assistance

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An efficient extraction method of journal-article table data for data-driven applications

inferred← citeshttps://doi.org/10.1038/s41598-026-44325-7openalex-snapshot

SPARTAN: automated table detection and extraction from documents using advanced OpenCV heuristics and OCR techniques

inferred← citeshttps://doi.org/10.1080/00207543.2023.2225652openalex-snapshot

Waste reduction via image classification algorithms: beyond the human eye with an AI-based vision

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Autonomous data extraction from peer reviewed literature for training machine learning models of oxidation potentials

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Document Analysis using Deep Learning Techniques

inferred← citeshttps://doi.org/10.1109/punecon58714.2023.10450066openalex-snapshot

Automated Table Detection Using R-CNN: A Cloud-Based Approach

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FASCINET: A Fully Automated Single-Board Computer Generator Using Neural Networks

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SINA: A Circuit Schematic Image–to–Netlist Generator Using Artificial Intelligence

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Improving the Quality Indicators of Multilevel Data Sampling Processing Models Based on Unsupervised Clustering

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Ontology-Driven Semantic Analysis of Tabular Data: An Iterative Approach with Advanced Entity Recognition

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