Incorporating Feature Interactions and Contrastive Learning for Credit Prediction by Lisi Zhang, Qiancheng Yu, Beijing Zhou, Yifan Zhang, Zhiyong Hu

“…Addressing these limitations, we present a novel approach for credit default prediction that integrates feature interactions and contrastive learning. Specifically, we introduce second-order interactions atop standard linear models to achieve low-order feature interplay. …”
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Explicit Feature Interaction-Aware Graph Neural Network by Minkyu Kim, Hyun-Soo Choi, Jinho Kim

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Multi-feature Interaction for Aspect Sentiment Triplet Extraction by CHEN Linying, LIU Jianhua, ZHENG Zhixiong, LIN Jie, XU Ge, SUN Shuihua

“…Aiming at the above problems, multi-feature interaction for aspect sentiment triplet extraction (MFI-ASTE) is proposed. …”
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A Local and Nonlocal Feature Interaction Network for Pansharpening by Junru Yin, Jiantao Qu, Le Sun, Wei Huang, Qiqiang Chen

“…To solve this problem, a local and nonlocal feature interaction network (LNFIN) is proposed in this paper for pansharpening. …”
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Feature Selection with Conditional Mutual Information Considering Feature Interaction by Jun Liang, Liang Hou, Zhenhua Luan, Weiping Huang

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Multi-Scale Feature Interactive Fusion Network for RGBT Tracking by Xianbing Xiao, Xingzhong Xiong, Fanqin Meng, Zhen Chen

“…To solve this problem, this work proposes a new multi-scale feature interactive fusion network (MSIFNet) for RGBT tracking. …”
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Feature Interaction-Based Reinforcement Learning for Tabular Anomaly Detection by Yaoxun Liu, Liangli Ma, Muyuan Wang, Siyuan Zhang

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Deep Feature Interactive Aggregation Network for Single Image Deraining by Shaoli Cao, Liying Liu, Li Zhao, Yuewang Xu, Jiawei Xu, Xiaoqin Zhang

“…In this paper, we propose a deep feature interactive aggregation network for single image deraining to enhance long-range dependencies among features and realize the interaction of information. …”
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Multi-Scale Feature Interaction Network for Remote Sensing Change Detection by Chong Zhang, Yonghong Zhang, Haifeng Lin

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Feature-Interaction-Enhanced Sequential Transformer for Click-Through Rate Prediction by Quan Yuan, Ming Zhu, Yushi Li, Haozhe Liu, Siao Guo

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Credit risk assessment using the factorization machine model with feature interactions by Jing Quan, Xuelian Sun

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GFI-Net: Global Feature Interaction Network for Monocular Depth Estimation by Cong Zhang, Ke Xu, Yanxin Ma, Jianwei Wan

“…To solve these problems, we propose the Global Feature Interaction Network (GFI-Net), which aims to utilize geometric features, such as object locations and vanishing points, on a global scale. …”
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Two-Branch Feature Interaction Fusion Method Based on Generative Adversarial Network by Rong Chang, Junpeng Dang, Nanchuan Zhang, Shan Zhao, Shijin Hu, Lin Xing, Haicheng Bai, Chengjiang Zhou, Yang Yang

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A Recommendation Strategy Integrating Higher-Order Feature Interactions With Knowledge Graphs by Yanru Lin, Shiyu Du, Yiming Zhang, Kai Duan, Qing Huang, Peng An

“…This paper proposes a method that fuses higher order feature interactions and knowledge graphs and uses them for recommendation. …”
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HDGFI: Hierarchical Dual-Level Graph Feature Interaction Model for Personalized Recommendation by Xinxin Ma, Zhendong Cui

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Visualizing complex feature interactions and feature sharing in genomic deep neural networks by Liu, Ge, Zeng, Haoyang, Gifford, David K

“…CONCLUSIONS: DeepResolve is capable of visualizing complex feature contribution patterns and feature interactions that contribute to decision making in genomic deep convolutional networks. …”
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Hybrid Cross-Feature Interaction Attention Module for Object Detection in Intelligent Mobile Scenes by Di Tian, Yi Han, Yongtao Liu, Jiabo Li, Ping Zhang, Ming Liu

“…This paper proposes a hybrid cross-feature interaction (HCFI) attention module for object detection in intelligent mobile scenes. …”
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An Attention-Based Latent Information Extraction Network (ALIEN) for High-Order Feature Interactions by Ruo Huang, Shelby McIntyre, Meina Song, Haihong E, Zhonghong Ou

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GAIN: A Gated Adaptive Feature Interaction Network for Click-Through Rate Prediction by Yaoxun Liu, Liangli Ma, Muyuan Wang

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sDeepFM: Multi-Scale Stacking Feature Interactions for Click-Through Rate Prediction by Baohua Qiang, Yongquan Lu, Minghao Yang, Xianjun Chen, Jinlong Chen, Yawei Cao

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