U-DepPLLaMA: Universal Dependency Parsing via Auto-regressive Large Language Models by Claudiu Daniel Hromei, Danilo Croce, Roberto Basili

“…The results are on par with current state-of-the-art methods and demonstrate resilience across varying sentence complexities and lengths.…”
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The Prediction of Soybean Price in China Based on a Mixed Data Sampling–Support Vector Regression Model by Xing Liu, Wenhuan Zhou, Zhihang Gao, Dongqing Zhang, Kaiping Ma

“…In order to incorporate mixed-frequency data into a forecasting model, the Mixed Data Sampling (MIDAS) model was employed. Given the complexity and nonlinearity of soybean price fluctuations, machine learning techniques were adopted. …”
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Prevalence of autoimmune diseases is strongly associated with average annual temperatures: systematic review and linear regression analysis by Konstantinos Voskarides, Sofia Philippou, Mariam Hamam, Konstantinos Parperis

“…Conclusions These findings underscore the complexity of interactions between environmental, and genetic factors in the development of autoimmune diseases. …”
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Maximum likelihood estimation of matrix exponential spatial specification on seemingly unrelated regression-spatial autoregressive model by Marsono, Setiawan, Heri Kuswanto

“…Spatial Seemingly unrelated regression estimation with matrix exponential specification (abbreviated as SUR-MESS(1,0)) is a new alternative when estimation of a spatial seemingly unrelated regression model with spatial autoregressive (abbreviated as SUR-SAR) has difficulty using large data. …”
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Analytical Inertia Identification of Doubly Fed Wind Farm with Limited Control Information Based on Symbolic Regression by Mengxuan Shi, Yang Li, Xingyu Shi, Dejun Shao, Mujie Zhang, Duange Guo, Yijia Cao

“…Case studies show that the proposed method can fully utilize prior model knowledge and operational data to accurately assess the system’s inertia level with low computational complexity.…”
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ANALYSIS OF THE EXISTENCE OF THE AGRICULTURAL SECTOR IN MODELING POVERTY IN BENGKULU PROVINCE USING GAUSSIAN COPULA MARGINAL REGRESSION by Sigit Nugroho, Dyah Setyo Rini, Pepi Novianti, Riki Crisdianto, Elisabeth Evelin Karuna, Athaya Fairuzindah

“…Therefore, in general, it can be concluded that either positive or negative dependencies identified by the Copula model can influence the resulting GCMR model by providing more profound complexity regarding the relationship between the variables analyzed.…”
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Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels by Pavan Hiremath, Krishnamurthy D. Ambiger, Shilpa Suresh, Ranjan Kumar Ghadai, Ramakrishna Vikas Sadanand, G. Divya Deepak

“…Abstract This study presents an integrated framework combining supervised classification and composition-driven regression modeling for automated phase identification and quantification in steel microstructures. …”
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Zoning and Identification of Factors Affecting Illegal Livestock Grazing in Golestan National Park Using Logistic Regression by Meysam Madadi, HamidReza Rezaei, Alireza Mohammadi, Bagher Nezami Balochi, Maryam Shahbazi

“…Moreover, it can inform environmental policymakers and political and judicial officials. Owing to the complexity inherent in identifying and locating instances of illegal livestock grazing and the influence of diverse environmental and anthropogenic factors, a logistic regression model was employed to delineate crime zones within the study area. …”
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Determination of Effective Weather Parameters on Rainfed Wheat Yield Using Backward Multiple Linear Regressions Based on Relative Importance Metrics by Mehdi Bahrami, Ali Shabani, Mohammad Reza Mahmoudi, Shohreh Didari

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Metrics of Genomic Complexity in the Evolution of Bacterial Endosymbiosis by Pablo Román-Escrivá, Moisès Bernabeu, Eleonora Paganin, Wladimiro Díaz-Villanueva, Miguel Verdú, José L. Oliver, Vicente Arnau, Andrés Moya

“…In the present work, we contrasted whether two proposed metrics for measuring genomic complexity in both types of bacteria, <i>GS</i> and <i>BB</i>, reflect their complexity, expecting higher values in free-living bacteria than in endosymbionts. …”
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Does Higher Grade Indicate More Complex Language Usage? Exploring Syntactic Complexity Development Among High School EFL Learners by Weiran Wang (王威然), Wenjuan Qin (秦文娟), Linyi Wang (王琳艺)

“…Purpose This article aims to investigate the longitudinal Syntactic Complexity (SC) development of English as a Foreign Language (EFL) learners and the variations by grade level. …”
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Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression model by Yilin Zhu, Shuangyun Peng, Zhiqiang Lin, Bangmei Huang, Ting Li, Rui Zhang, Rong Jin

“…To address these issues, this study proposes a GeoDetector-based Weighted Information Value-Logistic Regression (WIV-LR) model for Yunnan Province, combined with the Geographical Convergent Cross Mapping (GCCM) method to explore the complex causal relationships between susceptibility and influencing factors. …”
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Residual XGBoost regression-Based individual moving range control chart for Gross Domestic Product growth monitoring. by Rahida Rihhadatul Aisy, Latifatuz Zulfa, Yolanda Rahim, Muhammad Ahsan

“…By effectively capturing complex nonlinear relationships and mitigating autocorrelation, the proposed model offers enhanced predictive accuracy compared to conventional methods. …”
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Based on the Logistic regression analysis method, the carbon emission indicators of a certain province are analyzed Analysis and research by Hu Zhengxi

“…At the same time, as the world’s largest net exporter of carbon emissions, the huge trade carbon deficit has also had serious negative impacts on the country. In a diverse and complex context, China faces dual pressures of carbon emission reduction and economic development. …”
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The impact of climate variability on chickpea production in the central highlands of ethiopia using auto regressive distributive lag model by Tariku Tirfeessa, Adeba Gemechu, Lama Zemedu

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Exploring the non-linear association of daily cigarette consumption behavior and food security- An application of CMP GAM regression. by Shafeel Umam, Rubaiya Binte Razzak, Munniara Yesmin Munni, Azizur Rahman

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Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression by Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang

“…The economic indicators showed complex regional and temporal patterns underscoring the need for tailored interventions. …”
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Comparison of Trivariate Copula-Based Conditional Quantile Regression Versus Machine Learning Methods for Estimating Copper Recovery by Heber Hernández, Martín Alberto Díaz-Viera, Elisabete Alberdi, Aitor Goti

“…This approach is compared with six supervised machine learning regression methods, namely, Decision Tree, Extra Tree, Support Vector Regression (linear and epsilon), Multilayer Perceptron, and Random Forest. …”
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Investigating factors influencing PM2.5 threshold exceedance in Nigeria using multivariate logistic regression analysis by Tertsea Igbawua, Aondongu Alexander Tyovenda, Terver Sombo, Idugba Mathias Echi, Fanan Ujoh

“…The output of the study revealed complex relationships between aerosol emissions, climate, and other environmental variables driving the PTE in Nigeria. …”
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Modified Two-Parameter Ridge Estimators for Enhanced Regression Performance in the Presence of Multicollinearity: Simulations and Medical Data Applications by Muteb Faraj Alharthi, Nadeem Akhtar

“…Predictive regression models often face a common challenge known as multicollinearity. …”
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