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HW-Forest: Deep Forest with Hashing Screening and Window Screening

https://doi.org/10.1145/3532193
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What this work says

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

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GVFOM: a novel external force for active contour based image segmentation
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TWD-SFNN: Three-way decisions with a single hidden layer feedforward neural network
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Optimizing Semantic Deep Forest for tweet topic classification
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FP-ELM: An online sequential learning algorithm for dealing with concept drift
inferredcites →https://doi.org/10.1016/j.neucom.2017.07.019openalex-snapshot
Perceptual hash-based feature description for person re-identification
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DBC-Forest: Deep forest with binning confidence screening
inferredcites →https://doi.org/10.1016/j.patcog.2019.06.005openalex-snapshot
Deep forest hashing for image retrieval
inferredcites →https://doi.org/10.1016/j.patcog.2020.107499openalex-snapshot
Cost-sensitive deep forest for price prediction
inferredcites →https://doi.org/10.1016/j.saa.2019.117973openalex-snapshot
Hyperspectral imaging technology combined with deep forest model to identify frost-damaged rice seeds
inferredcites →https://doi.org/10.1016/j.ymeth.2019.02.009openalex-snapshot
Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response
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Random Forests
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Deep learning
inferredcites →https://doi.org/10.1093/nsr/nwy108openalex-snapshot
Deep forest
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/jbhi.2020.2995767openalex-snapshot
Emotion Recognition From Multi-Channel EEG via Deep Forest
inferredcites →https://doi.org/10.1109/jbhi.2020.3019505openalex-snapshot
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT
inferredcites →https://doi.org/10.1109/lgrs.2018.2793960openalex-snapshot
Ship Detection From Thermal Remote Sensing Imagery Through Region-Based Deep Forest
inferredcites →https://doi.org/10.1109/tcyb.2021.3082114openalex-snapshot
Top- k Self-Adaptive Contrast Sequential Pattern Mining
inferredcites →https://doi.org/10.1109/tkde.2020.2992485openalex-snapshot
Short Text Topic Modeling Techniques, Applications, and Performance: A Survey
inferredcites →https://doi.org/10.1109/tkde.2020.3038799openalex-snapshot
Improving Deep Forest by Screening
inferredcites →https://doi.org/10.1109/tmm.2020.2977459openalex-snapshot
Fast Nearest Subspace Search via Random Angular Hashing
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Learning Binary Hash Codes Based on Adaptable Label Representations
inferredcites →https://doi.org/10.1109/tpami.2019.2892371openalex-snapshot
Fast Cross-Validation for Kernel-based Algorithms
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A New Adaptive Weighted Deep Forest and Its Modifications
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/3178115openalex-snapshot
Deep Learning for Environmentally Robust Speech Recognition
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NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining
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BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data
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Multi-Feature Input Deep Forest for EEG-Based Emotion Recognition
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MLW-gcForest: A Multi-Weighted gcForest Model for Cancer Subtype Classification by Methylation Data

What points at this work

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

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WCDForest: a weighted cascade deep forest model toward the classification tasks
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Advancing Data-Driven Mineral Prospectivity Mapping: Benchmarking Deep Forest Against Deep Neural Network Models
inferred← citeshttps://doi.org/10.1007/s11053-024-10387-5openalex-snapshot
Toward Data-Driven Mineral Prospectivity Mapping from Remote Sensing Data Using Deep Forest Predictive Model
inferred← citeshttps://doi.org/10.1007/s12559-023-10238-0openalex-snapshot
Feature Analysis Network: An Interpretable Idea in Deep Learning
inferred← citeshttps://doi.org/10.1007/s13042-025-02655-4openalex-snapshot
Tree comprehensive diversity-based pruned deep forest
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.111027openalex-snapshot
Uncertainty aware neural network from similarity and sensitivity
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IAS-FET: An intelligent assistant system and an online platform for enhancing successful rate of in-vitro fertilization embryo transfer technology based on clinical features
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109681openalex-snapshot
Cross-domain sequential recommendation base on Fourier transform and contrastive variational augmentation
inferred← citeshttps://doi.org/10.1016/j.ins.2023.03.030openalex-snapshot
STWD-SFNN: Sequential three-way decisions with a single hidden layer feedforward neural network
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106488openalex-snapshot
Contrastive cross-domain sequential recommendation via emphasized intention features
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386844openalex-snapshot
RSP-gcForest: A Distributed Deep Forest via Random Sample Partition
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Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks
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MCoR-Miner: Maximal Co-Occurrence Nonoverlapping Sequential Rule Mining
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COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification
inferred← citeshttps://doi.org/10.1145/3658450openalex-snapshot
Co-occurrence Order-preserving Pattern Mining with Keypoint Alignment for Time Series
inferred← citeshttps://doi.org/10.3233/aic-230084openalex-snapshot
Dual cross-domain session-based recommendation with multi-channel integration
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A Review of Click-Through Rate Prediction Using Deep Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2304.14925openalex-snapshot
Uncertainty Aware Neural Network from Similarity and Sensitivity
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