Machine Learning Identifies the Emotion Climate During Naturalistic Conversations Using Speech Features and Affect Dynamics by Ghada Alhussein, Mohanad Alkhodari, Leontios J. Hadjileontiadis

“…Here, for the first time, we consider the concept of emotion climate (EC), that is, the emotion reciprocally established by the peers during a naturalistic conversation, and we introduce machine learning (ML) models that efficiently perform emotion climate recognition (ECR). …”
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Single-cell analysis reveals transcriptomic features and therapeutic targets in primary pulmonary lymphoepithelioma-like carcinoma by Binghua Tan, Ke Xu, Yingcheng Lyu, Yicheng Liang, Ruihao Liang, Kai Lei, Jialu Liang, Jing Huang, Kefeng Wang, Duoguang Wu, Wenjian Wang, Xueting Hu, Kexi Wang, Minghui Wang, Huayue Lin

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KRAS amplification in colorectal cancer: correlations with clinicopathological features and prognosis in patients and prediction of response to targeted therapy by Xuanhua Yang, Shiwei Feng, Qi Zhang, Wenxin Li, Shujuan Li, Min Zhi, Ping Lan, Sijing Cheng

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COVID-19 detection from chest CT images using optimized deep features and ensemble classification by Muhammad Minoar Hossain, Md. Abul Ala Walid, S.M. Saklain Galib, Mir Mohammad Azad, Wahidur Rahman, A.S.M. Shafi, Mohammad Motiur Rahman

“…For the composition of the system, this approach constructs a feature vector from the CT images through the features fusion of two Convolutional neural network (CNN) models namely VGG-19 and ResNet-50. …”
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Distinct structural features of the peroxide response regulator from group A Streptococcus drive DNA binding. by Chang Sheng-Huei Lin, Shi-Yu Chao, Michal Hammel, Jay C Nix, Hsiao-Ling Tseng, Chih-Cheng Tsou, Chun-Hsien Fei, Huo-Sheng Chiou, U-Ser Jeng, Yee-Shin Lin, Woei-Jer Chuang, Jiunn-Jong Wu, Shuying Wang

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In vivo variability of MRI radiomics features in prostate lesions assessed by a test-retest study with repositioning by Kevin Sun Zhang, Christian Jan Oliver Neelsen, Markus Wennmann, Thomas Hielscher, Balint Kovacs, Philip Alexander Glemser, Magdalena Görtz, Albrecht Stenzinger, Klaus H. Maier-Hein, Johannes Huber, Heinz-Peter Schlemmer, David Bonekamp

“…Radiomics feature (RF) extraction was performed from MRI segmentations accounting for intra-rater and inter-rater effects, and three different image normalization methods were compared. …”
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Bipolar disorder at mixed states and major depressive disorder with mixed features differ in peripheral biochemical parameters by Xiaohui Wu, Shuo Wang, Zhiang Niu, Yuncheng Zhu, Ping Sun, Wenxi Sun, Jun Chen, Yiru Fang

“…Network analysis and Principal Component Analysis (PCA) was also performed to investigate the relationships among these parameters. …”
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Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

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MSTCNet: Toward Generalization Improving for Multiframe Infrared Small Target Detection by Ruining Cui, Na Li, Junfu Liu, Huijie Zhao

“…When facing scenarios with complex backgrounds and diverse changes, the generalization performance of the model is insufficient, leading to a decrease in detection accuracy and an increase in false alarms rate. …”
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Cause Analysis of Rail Corrugation in Metro Lines Based on System Vibration Characteristics by Zhiqiang Wang, Zhenyu Lei, Yanyun Luo

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Parametric matrix models by Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean Lee

“…After introducing the underlying theory, we apply parametric matrix models to a series of different challenges that show their performance for a wide range of problems. …”
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Modeling and Parameter Extraction of PV Cell Using Single- and Two-Diode Model by bouchra benabdelkrim

“…The present study proposes a comparison between single and double diode models of solar PV system and ensures the best suited model under specific environmental condition for accurate performance prediction. …”
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Modeling Short-Term Drought for SPEI in Mainland China Using the XGBoost Model by Fanchao Zeng, Qing Gao, Lifeng Wu, Zhilong Rao, Zihan Wang, Xinjian Zhang, Fuqi Yao, Jinwei Sun

“…This study develops a methodological framework for short-term drought forecasting using SPEI time series (1979–2020) and evaluates three predictive models: (1) a baseline XGBoost model (XGBoost1), (2) a feature-optimized XGBoost variant incorporating Pearson correlation analysis (XGBoost2), and (3) an enhanced CPSO-XGBoost model integrating hybrid particle swarm optimization with dual mechanisms of binary feature selection and parameter tuning. …”
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High‐order multilayer attention fusion network for 3D object detection by Baowen Zhang, Yongyong Zhao, Chengzhi Su, Guohua Cao

“…To enhance the expressive power between different modality features, we introduce a high‐order feature fusion module that performs multi‐level convolution operations on the element‐wise summed features. …”
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Multi-center study: ultrasound-based deep learning features for predicting Ki-67 expression in breast cancer by Qishan Cen, Man Wang, Siying Zhou, Hong Yang, Ye Wang

“…The SVM algorithm exhibited superior performance in both internal and external test sets when validated the fusion model integrating depth features from tumor and peritumoral area. …”
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Dual branch guided contrastive learning for unsupervised pedestrian re-identification by REN Hangjia, LIANG Fengmei

“…Finally, a contrastive learning module was proposed to perform contrastive learning on refined labels and improve the robustness of the model. …”
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Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study by Neus Torra-Ferrer, Maria Montserrat Duh, Queralt Grau-Ortega, Daniel Cañadas-Gómez, Juan Moreno-Vedia, Meritxell Riera-Marín, Melanie Aliaga-Lavrijsen, Mateu Serra-Prat, Javier García López, Miguel Ángel González-Ballester, Maria Teresa Fernández-Planas, Júlia Rodríguez-Comas

“…Feature selection was performed using Least Absolute Shrinkage and Selection Operator (LASSO) regression, followed by classification with an Adaptive Boosting (AdaBoost) model trained on the optimized feature set. …”
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Battery System Fault Detection: A Data-Driven Aggregation and Augmentation Strategy by Zhiming Zhang, Dan Zhang, Dejun Li, Yi Liu, Jiong Yang

“…Subsequently, an advanced feature augmentation process is employed to enhance feature separability through multi-dimensional transformation techniques. …”
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Recognition of Conus species using a combined approach of supervised learning and deep learning-based feature extraction. by Noshaba Qasmi, Rimsha Bibi, Sajid Rashid

“…After applying a deep learning approach (Visual Geometry Group with a 16-layer deep model architecture) for feature extraction, model specificity was further assessed by including multiple related and unrelated seashell images. …”
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Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia by Krisan Aprian Widagdo, Kusworo Adi, Rahmat Gernowo

“…The other hand, this combination compared with original features model and FScore model. Experimental result shows the combination of Fscore PCA produced the best performance (Accuracy 0.964±0.006, Sensitivity 0.990±0.005 and Specificity 0.889±0.009). …”
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