Explained Learning and Hyperparameter Optimization of Ensemble Estimator on the Bio-Psycho-Social Features of Children and Adolescents by Franc Drobnič, Gregor Starc, Gregor Jurak, Andrej Kos, Matevž Pustišek

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Stock Price Movement Prediction Based on a Deep Factorization Machine and the Attention Mechanism by Xiaodong Zhang, Suhui Liu, Xin Zheng

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Click-Through Rate Prediction Model Based on Neural Architecture Search by SHUAI Jian-bo, WANG Jin-ce, HUANG Fei-hu, PENG Jian

Subjects: “…neural architecture search|click-through rate prediction|feature embedding|feature interacting|recommendation system…”
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SMIFormer: Learning Spatial Feature Representation for 3D Object Detection from 4D Imaging Radar via Multi-View Interactive Transformers by Weigang Shi, Ziming Zhu, Kezhi Zhang, Huanlei Chen, Zhuoping Yu, Yu Zhu

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Harnessing Causal Structure Alignment for Enhanced Cross-Domain Named Entity Recognition by Xiaoming Liu, Mengyuan Cao, Guan Yang, Jie Liu, Yang Liu, Hang Wang

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Disentangled self-attention neural network based on information sharing for click-through rate prediction by Yingqi Wang, Huiqin Ji, Xin He, Junyang Yu, Hongyu Han, Rui Zhai, Longge Wang

Subjects: “…Feature interactions…”
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Explainable features responsible for the high or low spread of SARS-CoV-2: Africa in view by Olalekan J. Akintande, Olusanya E. Olubusoye, OlaOluwa S. Yaya, Adeyinka O. Abiodun

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PDT-YOLO: A Roadside Object-Detection Algorithm for Multiscale and Occluded Targets by Ruoying Liu, Miaohua Huang, Liangzi Wang, Chengcheng Bi, Ye Tao

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Microblog Sentiment Analysis Based on Dynamic Character-Level and Word-Level Features and Multi-Head Self-Attention Pooling by Shangyi Yan, Jingya Wang, Zhiqiang Song

Subjects: “…multi-granularity feature interactive fusion…”
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Parallel Interactive Attention Network for Short-Term Origin–Destination Prediction in Urban Rail Transit by Wenzhong Zhou, Chunhai Gao, Tao Tang

“…Moreover, a simple yet effective feature interaction is proposed to improve the feature utilization. …”
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A Spectral–Spatial Transformer Fusion Method for Hyperspectral Video Tracking by Ye Wang, Yuheng Liu, Mingyang Ma, Shaohui Mei

“…The extracted features are further fused with the context fusion module based on a transformer with the hyperspectral self-attention (HSA) and hyperspectral cross-attention (HCA), which are designed to capture the self-context feature interaction and the cross-context feature interaction, respectively. …”
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Deep Adaptive Interest Network for CTR Prediction by Jianguo Wei, Lei Wang, Meiling Ge

“…Understanding sophisticated feature interactions behind users’ behaviors is essential for CTR prediction. …”
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Feature Importance of Acute Rejection among Black Kidney Transplant Recipients by Utilizing Random Forest Analysis: An Analysis of the UNOS Database by Charat Thongprayoon, Caroline C. Jadlowiec, Napat Leeaphorn, Jackrapong Bruminhent, Prakrati C. Acharya, Chirag Acharya, Pattharawin Pattharanitima, Wisit Kaewput, Boonphiphop Boonpheng, Wisit Cheungpasitporn

“…The feature importance and feature interaction network analysis framework of machine learning random forest (RF) analysis may provide an understanding of RF structures to design strategies to prevent acute rejection among Black recipients. …”
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Hierarchical graph-based text classification framework with contextual node embedding and BERT-based dynamic fusion by Aytuğ Onan

“…The fifth stage, Dynamic Text Sequential Feature Interaction, captures the sequential information of the text and generates dynamic features for each node. …”
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MFSynDCP: multi-source feature collaborative interactive learning for drug combination synergy prediction by Yunyun Dong, Yunqing Chang, Yuxiang Wang, Qixuan Han, Xiaoyuan Wen, Ziting Yang, Yan Zhang, Yan Qiang, Kun Wu, Xiaole Fan, Xiaoqiang Ren

“…To address this issue, we propose a drug combination synergy prediction model based on multi-source feature interaction learning, named MFSynDCP, aiming to predict the synergistic effects of anti-tumor drug combinations. …”
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Spatial and Temporal Variations on Air Quality Prediction Using Deep Learning Techniques by Vandhana S., Anuradha J.

“…Prediction of air quality is widespread and has become a challenging issue owing to the enormous environmental data with time-space nonlinearity and multi-dimensional feature interaction. There is a need to bring out the spatial and temporal factors that are influencing the prediction. …”
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Contextual Information Aided Generative Adversarial Network for Low-Light Image Enhancement by Shiyong Hu, Jia Yan, Dexiang Deng

“…Specifically, residual dense blocks are adopted in the generator to promote hierarchical feature interaction across multiple layers and enhance features at multiple depths in the network. …”
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Users’ Perceptions of Aesthetic Design Approach of Safavid Architecture, Iran by Bahram Shahedi, Nila Inangda Manyam Keumala Hj. Daud, Naziaty Mohd Yaacob

“…The first: structural honesty, expressions, identity, design feature, interaction as design values in the sense of aesthetic. …”
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Combined spatial and frequency dual stream network for face forgery detection by Hui Zhao, Xin Li, Bingxin Xu, Hongzhe Liu

“…Concretely, a cross self-attention (CSA) module is designed to improve frequency feature interaction and fusion at different scales. Moreover, to augment the semantic and contextual information, frequency guided spatial feature extraction module is proposed to extract and reconstruct the spatial information. …”
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Graph neural network recommendation algorithm based on improved dual tower model by Qiang He, Xinkai Li, Biao Cai

“…A heterogeneous graph is constructed containing different types of nodes, such as users, items, and attributes, extracting richer feature representations through meta-paths. To achieve feature interaction, an interactive learning mechanism is introduced to inject relevant features between the user and project towers. …”
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