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Combining Multiple Implicit-Explicit Interactions for Regression Analysis

https://doi.org/10.1109/bigdata50022.2020.9378402
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-32025-0_14openalex-snapshot
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1109/bigcomp48618.2020.0-108openalex-snapshot
A Wide & Deep Learning Sharing Input Data for Regression Analysis
inferredcites →https://doi.org/10.1109/ciel.2014.7015739openalex-snapshot
Ensemble deep learning for regression and time series forecasting
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot
Factorization Machines
inferredcites →https://doi.org/10.1111/j.1467-9868.2005.00503.xopenalex-snapshot
Regularization and Variable Selection Via the Elastic Net
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1145/2168752.2168771openalex-snapshot
Factorization Machines with libFM
inferredcites →https://doi.org/10.1145/2939672.2939704openalex-snapshot
Deep Crossing
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3077136.3080777openalex-snapshot
Neural Factorization Machines for Sparse Predictive Analytics
inferredcites →https://doi.org/10.1145/3124749.3124754openalex-snapshot
Deep & Cross Network for Ad Click Predictions
inferredcites →https://doi.org/10.1145/3219819.3220023openalex-snapshot
xDeepFM
inferredcites →https://doi.org/10.1145/3285029openalex-snapshot
Deep Learning Based Recommender System
inferredcites →https://doi.org/10.1609/aaai.v30i1.9967openalex-snapshot
Top-N Recommender System via Matrix Completion
inferredcites →https://doi.org/10.2307/1267351openalex-snapshot
Ridge Regression: Biased Estimation for Nonorthogonal Problems
inferredcites →https://doi.org/10.2307/1268529openalex-snapshot
Regression Analysis by Example
inferredcites →https://doi.org/10.2307/1271436openalex-snapshot
Ridge Regression: Biased Estimation for Nonorthogonal Problems
inferredcites →https://doi.org/10.2307/2287213openalex-snapshot
Regression Analysis by Example.
inferredcites →https://doi.org/10.24963/ijcai.2017/239openalex-snapshot
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
inferredcites →https://doi.org/10.24963/ijcai.2017/447openalex-snapshot
Deep Matrix Factorization Models for Recommender Systems
inferredcites →https://doi.org/10.48550/arxiv.1706.02263openalex-snapshot
Graph Convolutional Matrix Completion
inferredcites →https://doi.org/10.48550/arxiv.1804.07612openalex-snapshot
Revisiting Small Batch Training for Deep Neural Networks
inferredcites →https://doi.org/10.5220/0006900000510060openalex-snapshot
Graph Convolutional Matrix Completion for Bipartite Edge Prediction

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.5245662openalex-extracted
Breaking Barriers: Unveiling Gender Disparities in Corporate Board Career Paths Using Deep Learning
inferred← citeshttps://doi.org/10.1016/j.ces.2024.121164openalex-snapshot
Industrial process fault diagnosis using dilated convolutional stacking bidirectional gated recurrent unit with high and low-order feature fusion
inferred← citeshttps://doi.org/10.1109/access.2024.3357887openalex-snapshot
Explicit Feature Interaction-Aware Graph Neural Network
inferred← citeshttps://doi.org/10.1109/bigcomp60711.2024.00075openalex-snapshot
Deep Learning Model for Traffic Accident Prediction Using Multiple Feature Interactions
inferred← citeshttps://doi.org/10.1109/icdm65498.2025.00140openalex-snapshot
Higher-Order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
inferred← citeshttps://doi.org/10.1371/journal.pone.0295440openalex-snapshot
TMH: Two-Tower Multi-Head Attention neural network for CTR prediction
inferred← citeshttps://doi.org/10.3389/fcomp.2022.780580openalex-snapshot
Multimodal EEG and Eye Tracking Feature Fusion Approaches for Attention Classification in Hybrid BCIs
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