| Scheduled Conference | Title | |
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Finite Iterative Method Based Algorithm To Estimate Latent Variables In Partial Least Squares Structural Equation Modeling For Reflective Blocks | Abstract |
| Zouhair El Hadri | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Genetic algorithm as a feature selection tool in Psychological Sciences | Abstract |
| Hojjatollah Farahani, Nataša Kovač, Peter Watson | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | How Does that State Space Model Fit? Extending Structural Equation Model Fit Indices to State Space Models using RMSEAD | Abstract |
| Hyungeun Oh | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Impacts of Climate and Environmental Factors on Cognitive Performance: Assessments from Global Perspectives | Abstract |
| Fatima T. Zahra, Fatima T. Zahra, Mehdi Rajeb, Fatima T. Zahra, Purnachandra Anirudh Gajjala, Purnachandra Anirudh Gajjala, Purnachandra Anirudh Gajjala | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Interpretable Machine Learning vs. Deep Learning for Mental Health Detection on Social Media: A Comparative Study | Abstract |
| Yeyubei Zhang, Zhongyan Wang, Zhanyi Ding, Yexin Tian, Jianglai Dai, Xiaorui Shen, Yunchong Liu, Yuchen Cao | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Introduction to Explainable Machine Learning | Abstract |
| Aramayis Dallakyan | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Model Assumption Violations in Bayesian Latent Mediation Analysis: An Exploration of Bayesian SEM Fit Indices | Abstract |
| Haiyan Liu, Ihnwhi Heo, Aleksandr Ivanov, Sara Depaoli | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Multivariate Meta-Analysis of Vector Autoregressive Model Coefficients: A Two-Step Structural Equation Modeling Approach | Abstract |
| Ivan Jacob Agaloos Pesigan | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Prioritizing Bias in Regression: Ridge Parameter Selection and Performance compared to OLS | Abstract |
| Jing Wang | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Psychological Consequences of Environmental Change: A Longitudinal Study of Emotions Using Social Media Text Data | Abstract |
| Jiepeng Yuan, Xin Tong | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Reassessing nonstationary risk from heavy rainfall | Abstract |
| Vyacheslav Lyubchich, K. Halimeda Kilbourne | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Road damage detection algorithm based on bimodal images | Abstract |
| Xiyu Wang, Xiaoyan Wang | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | STRUCTURAL MODELLING OF FACTORS INFLUENCING BLENDED LEARNING INSTRUCTIONAL STRATEGY IN COLLEGES OF EDUCATION | Abstract |
| Maxwell Seyram Kumah | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | The Invariance Partial Pruning Approach to The Network Comparison in Longitudinal Data | Abstract |
| Xinkai Du, Sacha Epskamp | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | The Waves of US-China Technology Decoupling and Its Implication for MNCs: A VAR and ECM Approach | Abstract |
| Min Shi | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Time-varying Mediation Effects for Time-Varying Treatments with Covariates | Abstract |
| Jingwei Li, Donna Coffman | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Toward Adaptive Fit Assessment in Structural Equation Modeling: A Proposal for Machine Learning-Driven Dynamic Threshold | Abstract |
| Zeyuan Jing | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Understanding Large Language Models’ Performances on a Reading Comprehension Test | Abstract |
| Jiyun Zu, Ikkyu Choi | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Unsecured Debt and Psychological Well-Being Among Older Americans: The Role of Health Literacy | Abstract |
| Mary Ayobami Akinde | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Using artificial intelligence and data analytics to combat financial fraud | Abstract |
| Mitesh Bagwe | ||
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