EGMT-CD: Edge-Guided Multimodal Transformers Change Detection from Satellite and Aerial Images by Yunfan Xiang, Xiangyu Tian, Yue Xu, Xiaokun Guan, Zhengchao Chen

“…Previous studies used interpolation or shallow feature alignment before traditional homologous change detection methods, which ignored the high-level feature interaction and edge information. Therefore, we propose a new heterogeneous change detection model based on multimodal transformers combined with edge guidance. …”
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Computational Analysis of Pathological Image Enables Interpretable Prediction for Microsatellite Instability by Jin Zhu, Wangwei Wu, Yuting Zhang, Shiyun Lin, Yukang Jiang, Ruixian Liu, Heping Zhang, Xueqin Wang

“…Second, the feature-level interpretability is attained through feature importance and pathological feature interaction analysis. Interestingly, from both the image-level and feature-level interpretability, color and texture characteristics, as well as their interaction, are shown to be mostly contributed to the MSI prediction.InterpretationThe developed transparent machine learning pipeline is able to detect MSI efficiently and provide comprehensive clinical insights to pathologists. …”
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Robust SAR Image Despeckling by Deep Learning From Near-Real Datasets by Jianjun Guan, Rui Liu, Xin Tian, Xinming Tang, Song Li

“…Moreover, we establish another subnetwork (dual-branch denoising subnetwork) to conduct feature interaction and estimate the clean intensity image based on a specially designed cross-attention module. …”
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Use of Artificial Intelligence Methods for Predicting the Strength of Recycled Aggregate Concrete and the Influence of Raw Ingredients by Xinchen Pan, Yixuan Xiao, Salman Ali Suhail, Waqas Ahmad, Gunasekaran Murali, Abdelatif Salmi, Abdullah Mohamed

“…It was revealed from the SHAP analysis that the cement content had the highest positive influence on the splitting-tensile strength of the recycled aggregate concrete and the primary contact of cement is with water. The feature interaction plot shows that high water content has a negative impact on the recycled aggregate concrete (RAC) splitting-tensile strength, but the increased cement content had a beneficial effect.…”
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Simultaneous segmentation and classification of colon cancer polyp images using a dual branch multi-task learning network by Chenqian Li, Jun Liu, Jinshan Tang

“…Additionally, we have designed a feature interaction module (FIM) aimed at bridging the semantic gap between the two branches and facilitating the integration of diverse semantic information from both branches. …”
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ADT-Det: Adaptive Dynamic Refined Single-Stage Transformer Detector for Arbitrary-Oriented Object Detection in Satellite Optical Imagery by Yongbin Zheng, Peng Sun, Zongtan Zhou, Wanying Xu, Qiang Ren

“…Firstly, we propose a feature pyramid transformer (FPT) to enhance feature extraction of the rotated object detection framework through a feature interaction mechanism. This is beneficial for the detection of objects with diverse patterns in terms of scale, aspect ratio, visual appearance, and dense distributions. …”
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Text-Image Matching for Cross-Modal Remote Sensing Image Retrieval via Graph Neural Network by Hongfeng Yu, Fanglong Yao, Wanxuan Lu, Nayu Liu, Peiguang Li, Hongjian You, Xian Sun

“…Therefore, based on GNN, this article proposes a new cross-modal RS feature matching network, which can avoid the degradation of retrieval performance caused by information misalignment by learning the feature interaction in query text and RS image, respectively, and modeling the feature association between the two modes. …”
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New Fusion Network with Dual-Branch Encoder and Triple-Branch Decoder for Remote Sensing Image Change Detection by Cong Zhai, Liejun Wang, Jian Yuan

“…The middle branch utilizes triple-branch aggregation (TA) to realize the feature interaction of the three branches in the decoder, which enhances the integrated features and provides abundant and supplementary bitemporal feature information to improve the CD performance. …”
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Thermodynamics-Inspired Multi-Feature Network for Infrared Small Target Detection by Mingjin Zhang, Handi Yang, Ke Yue, Xiaoyu Zhang, Yuqi Zhu, Yunsong Li

“…The DMA and CFF modules achieve self-feature-guided multi-scale feature fusion and cross-layer feature interaction by utilizing semantic features from different stages in the encoding process. …”
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TCUNet: A Lightweight Dual-Branch Parallel Network for Sea–Land Segmentation in Remote Sensing Images by Xuan Xiong, Xiaopeng Wang, Jiahua Zhang, Baoxiang Huang, Runfeng Du

“…Furthermore, a feature interaction module is designed to achieve information exchange, and complementary advantages of features, between the two branches. …”
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Ensemble deep learning enhanced with self-attention for predicting immunotherapeutic responses to cancers by Wenyi Jin, Qian Yang, Hao Chi, Kongyuan Wei, Pengpeng Zhang, Guodong Zhao, Shi Chen, Zhijia Xia, Xiaosong Li

“…In each trial, ELISE selected multiple models for integration based on add or concatenate stacking strategies, including deep neural network, automatic feature interaction learning via self-attentive neural networks, deep factorization machine, compressed interaction network, and linear neural network, then adopted the best trial to generate a final approach. …”
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Evolutionary approach for combinatorial testing of software product lines by Sahid, Mohd Zanes

“…Two salient obstacles in SPL testing are identified; (1) time required to cover feature configuration testing for large scale Feature Models and higher strength of t-wise testing, and (2) insufficient coverage of feature interaction towards higher fault detection due to uniform strength of feature combination. …”
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Multi-scenario pear tree inflorescence detection based on improved YOLOv7 object detection algorithm by Zhen Zhang, Zhen Zhang, Zhen Zhang, Xiaohui Lei, Xiaohui Lei, Kai Huang, Kai Huang, Yuanhao Sun, Yuanhao Sun, Jin Zeng, Jin Zeng, Tao Xyu, Tao Xyu, Quanchun Yuan, Quanchun Yuan, Yannan Qi, Yannan Qi, Andreas Herbst, Xiaolan Lyu, Xiaolan Lyu

“…YOLOv7 incorporates an efficient multi-scale attention mechanism (EMA) to enable cross-channel feature interaction through parallel processing strategies, thereby maximizing the retention of pixel-level features and positional information on the feature maps. …”
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Attentional factorization machine with review-based user–item interaction for recommendation by Zheng Li, Di Jin, Ke Yuan

“…Then we adopt AFM to learn user–item feature interactions to distinguish the importance of different user–item feature interactions and further to obtain more accurate rating prediction, so as to promote recommendation. …”
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A lightweight CNN-based knowledge graph embedding model with channel attention for link prediction by Xin Zhou, Jingnan Guo, Liling Jiang, Bo Ning, Yanhao Wang

“…To further enhance favorable features from increased feature interactions, we propose a lightweight CNN-based KGE model called IntSE in this paper. …”
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Interpretable trading pattern designed for machine learning applications by Artur Sokolovsky, Luca Arnaboldi, Jaume Bacardit, Thomas Gross

“…Finally, we propose an approach for obtaining feature interactions directly from tree-based models and compare the outcomes to those of the SHAP method. …”
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TMH: Two-Tower Multi-Head Attention neural network for CTR prediction. by Zijian An, Inwhee Joe

“…To reduce the dependence on feature interactions, this paper proposes a fusion model that combines explicit and implicit feature interactions, called the Two-Tower Multi-Head Attention Neural Network (TMH) approach. …”
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(RE)PRESENTING HISTORIES : EXPERIENCES & PERSPECTIVES FROM THE NATIONAL MUSEUM OF SINGAPORE / by Chua, Priscilla, 1982-, contributor 633011, Chung, May Khuen, contributor 633018, Goh, Ngee Hui, contributor 633019, Ismail, Iman, contributor 633020, Lim, Sharon, contributor 633021, Murthy, Vidya, contributor 633022, Mydin, Iskandar, contributor 633023, Shihui, Ong, contributor 633024, Phua, Jay, contributor 633025, Teo, Angelita, contributor 633026, Tham, Daniel, contributor 633027, Soo, Ei Yap, contributor 633028, Yeo, Stephanie, editor 632993, National Museum of Singapore 632992

“…In celebration of the nation's Golden Jubilee, the National Museum of Singapore re-opened in September 2015 after an extensive revamp of its permanent galleries. Featuring interactive, contextual displays and immersive experiences, the updated galleries seek to both represent and re-present Singapore's rich culture and history, and to encourage meaningful connections and conversations with its visitors. …”

Integrating animation and video materials into virtual reality interface-a case study of Islamic architectural heritage complex by Jahn Kassim, Puteri Shireen

“…This paper present the development of an e-learning application combining virtual reality (VR) and multimedia techniques which features interactive real time walkthroughs of highly accurate 3D architectural and ancient city models for the development of an innovative tool in teaching of history and prototypical development combines multimedia, architectural and information technology specialists.…”
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Measuring and classifying IP usage scenarios: a continuous neural trees approach by Zhenhui Li, Fan Zhou, Zhiyuan Wang, Xovee Xu, Leyuan Liu, Guangqiang Yin

“…A novel continuous neural tree-based ensemble model is proposed to learn IP assignment rules and complex feature interactions. We conduct extensive experiments to evaluate our model in terms of classification accuracy and generalizability. …”
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