Secure Two-Party Decision Tree Classification Based on Function Secret Sharing by Kun Liu, Chunming Tang

“…Experiments on benchmark datasets confirm that the approach achieves high accuracy with reasonable computation and communication costs. …”
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Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization by Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma

“…Our experiments were conducted on Office and Caltech10 datasets and verify the effectiveness of the model we proposed.…”
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Conversational Health Bots for Telemedicine Services: Survey by Sura Mahmood Abdullah, Abbas Mohsin Al-bakry, Alaa Kadhem Farhan

“…This study will discuss the objectives of developing chatbot systems, the fundamental methodologies and datasets used, the primary challenges and limitations of existing works, and insights into future trends in chatbot development.…”
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Exploration and Analysis of Collaborative Matching Algorithm Empowering Large Data Fiscal Budget by Rui Gong, Xu Zhang

“…Finally, the PSO-SA algorithm runs 10 rounds on the datasets with matching scales d=10 and 30, respectively. …”
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Long-Term Trends in Marriage Timing and the Impact of Migration, the Netherlands (1650-1899) by Charlotte Störmer, Corry Gellatly, Anita Boele, Tine De Moor

“…We make use of two new large historical datasets, namely an aggregation of Dutch genealogies and the transcribed marriage banns of Amsterdam. …”
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Data Mining Mycobacterium tuberculosis Pathogenic Gene Transcription Factors and Their Regulatory Network Nodes by Guangxin Yuan, Yu Bai, Yuhang Zhang, Guangyu Xu

“…In this study, using the National Center for Biotechnology Information (NCBI) GEO Datasets, whole blood gene expression profile data were obtained in patients with active pulmonary tuberculosis. …”
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The importance and challenges of data collection in risk assessment by Xekalakis Georgios, Fokaides Paris, Christou Petros

“…AI enhances data processing efficiency, crucial for handling extensive datasets and enabling rapid response capabilities. …”
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Log-Driven Behavior Discrimination of Process Robots Using Entropy Similarity by Lu Li, Huan Fang

“…Finally, a series of experiments are conducted on a set of publicly available datasets, validating the feasibility, generality, and effectiveness of the proposed method.…”
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Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model by Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad

“…To evaluate DuaSkinSeg’s effectiveness, we conducted experiments on three publicly available benchmark datasets: ISIC 2016, ISIC 2017, and ISIC 2018. The results demonstrate that DuaSkinSeg achieves competitive performance compared to existing methods, highlighting the potential of the dual encoder architecture for accurate skin lesion segmentation.…”
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A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs by Guido Bologna, Yoichi Hayashi

“…In fact, rules generated from decision stumps trained by modest boosting were, for almost all the 25 datasets, the simplest with the highest fidelity. Finally, in terms of average predictive accuracy and average ruleset complexity, the comparison of some of our results to those reported in the literature proved to be competitive.…”
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Extracting organs of interest from medical images based on convolutional neural network with auxiliary and refined constraints by Fenghui Lian, Yingjie Sun, Meiyu Li

“…The obtained results on public datasets sufficiently demonstrate the effectiveness of the proposed model for organ segmentation.…”
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PTF-SimCM: A Simple Contrastive Model with Polysemous Text Fusion for Visual Similarity Metric by Xinpan Yuan, Xinxin Mao, Wei Xia, Zhiqi Zhang, Shaojun Xie, Chengyuan Zhang

“…Experimental results on MSCOCO, Flickr 30k, and Pascal Sentence datasets show that our model overall outperforms all the compared methods in this work, which illustrates that the model can effectively address the issues faced and enhance the performances on unsupervised visual similarity measuring relatively.…”
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QUERY2BERT: Combining Knowledge Graph and Language Model for Reasoning on Logical Queries by Truong H. V. Phan, Phuc do

“…We tested our model on three benchmark knowledge graph datasets and showed that QUERY2BERT significantly improved accuracy and speed compared to other state-of-the-art models.…”
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GTA-Net: An IoT-integrated 3D human pose estimation system for real-time adolescent sports posture correction by Shizhe Yuan, Li Zhou

“…Experimental results show GTA-Net’s superior performance on Human3.6M, HumanEva-I, and MPI-INF-3DHP datasets, with Mean Per Joint Position Error (MPJPE) values of 32.2 mm, 15.0 mm, and 48.0 mm, respectively, significantly outperforming existing methods. …”
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Dual Embedding Transformer Network for Hyperspectral Unmixing by Huadong Yang, Chengbi Zhang

“…Experimental results on synthetic and real datasets demonstrates the generalization performance of the proposed method, and the ablation experiments confirm the effectiveness of the TVA and BGF modules.…”
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In Silico Analysis of Common Long Noncoding RNAs in Schistosoma mansoni and Schistosoma haematobium by Serhat Sirekbasan, Tugba Gurkok Tan

“…Methods. Assembled RNA-seq datasets belonging to S. mansoni and S. haematobium were obtained from the National Center for Biotechnology. …”
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PMEPA1 Serves as a Prognostic Biomarker and Correlates with Immune Infiltrates in Cervical Cancer by Jing Li, Wei-min Kong

“…In this study, we identified PMEPA1 as a survival-related gene in CC based on TCGA datasets. Univariate and multivariate analysis showed that PMEPA1 expression was an independent predictor for overall survival in CC patients. …”
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An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction by Shanchun Zhao, Xu Li

“…Experimental evaluations are conducted on two real traffic datasets, and the results demonstrate the effectiveness of the proposed model.…”
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Comprehensive evaluation of pure and hybrid collaborative filtering in drug repurposing by Clémence Réda, Jill-Jênn Vie, Olaf Wolkenhauer

“…We illustrate this method by comparing 11 models from the literature on eight diverse drug repurposing datasets. Based on this benchmark, we derive guidelines to ensure a fair and comprehensive evaluation of the performance of those models. …”
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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models. by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang

“…Empirical findings demonstrate that the suggested methodology surpasses the most advanced algorithms on the datasets that are accessible openly. Hence, the suggested approach may be regarded as a helpful tool for therapeutic processes.…”
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