| Scheduled Conference | Title | |
| 2025 Meeting of ISDSA - Data Science and Machine Learning | "Determinants of Annual Bank Income in the United States: A Predictive Empirical Analysis of Banking Data from 1984 to 2023 using regression analysis; | Abstract |
| ANGELA OMOGBEME | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | A Simulation-Based Evaluation of Incremental Recall for Accurate Network Density Estimation | Abstract |
| Chad Davis, Cai Liu | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | A structural equation modelling approach to measuring women empowerment in Namibia | Abstract |
| Immanuel Shipanga | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Addressing estimation issues of structural equation models for massive data with a divide-and-conquer approach to Bayesian synthesis | Abstract |
| Xinyu Liu, Katerina M Marcoulides, Hannah Hamling | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Analysis of self-rated health and its influencing factors among the elderly in China | Abstract |
| Yong Wen | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Analyzing the Relationships between Different Forms of Friendship Using Network-Based Methods | Abstract |
| Ziqian Xu, Zhiyong Zhang | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Anomaly Detection in Automotive Network Traffic for Cybersecurity Using Machine Learning: A Focus on Zero-Day Vulnerability Detection | Abstract |
| Victoria Elizabeth Frederickson | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Automating Data Science Pipelines with AI Agents: How AI agents powered by LLM can optimize machine learning workflow | Abstract |
| Nkechi Endalyne Okereke-Tony | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Batch Service Queueing Systems with Matched Customers | Abstract |
| Jiashan Tang | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Building a Personalized Mental Health Treatment Recommender Using Convex Generalized Structured Component Analysis and Bayesian Networks | Abstract |
| Gyeongcheol Cho, Younyoung Choi | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Causal Inference Methods to Assess Mediating Mechanisms of Heterogeneity in Treatment Effects | Abstract |
| Xiao Liu | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Comparative Analysis of Regularized Regression Models for Predicting Commercial Vehicle Miles Traveled | Abstract |
| Steve Chung | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Comparing Exploratory Factor Analysis and Network Community Detection: A Machine Learning Approach to Clustering | Abstract |
| Jingyang Li, Laura Lu | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Composite Key Conditions: A New Method for Defining High-Risk Thresholds in Risk Screening | Abstract |
| Yueqin Hu, Qingshan Liu | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Controlled Feature Selection for Survival Data Using Knockoffs | Abstract |
| Daoji Li | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Correcting Cohen’s d and Pearson r Conversion for Imperfect Experimental Manipulations | Abstract |
| Zijun Ke, Siyang Luo | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Couple-Type Compatibility and Marital Stability: A Data-Driven Framework for Predicting Divorce Probability | Abstract |
| Adeniyi Adewale Osilaja | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Cutting-Edge Brain Tumor Detection with AI: Combining Machine Learning and Computer Vision, A Dual-Approach Methodology | Abstract |
| Onyinyechi Ihesiulo | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Data Disaggregation in Action: Scaling Solutions Across Global Utility Markets | Abstract |
| Adetokunbo Kosile-Palmer | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Designing Experiments to Evaluate Bias in Large Language Models | Abstract |
| Zhiyong Zhang | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Documents are People and Words are Items: A Psychometric Approach to Textual Data with Contextual Embeddings | Abstract |
| Jinsong Chen | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Emotion detection AI deceived by two-faced images | Abstract |
| Austin Wyman | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Error Control and Estimation of Average Treatment Effect in Mixture Models with Auxiliary Variables: Integrating BCH Bias Correction and Propensity Score Weighting | Abstract |
| Hawjeng Chiou | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Explainable Reinforcement Learning for Mechanical Ventilation Weaning: A Multi-Dataset Validation and Cost-Effectiveness Analysis | Abstract |
| Thomas Wiese | ||
| 2025 Meeting of ISDSA - Data Science and Machine Learning | Exploring Class Enumeration in Growth Mixture Modeling Base on Individual Residuals | Abstract |
| Dan Wei | ||
| 1 - 25 of 45 Items | 1 2 > >> | |
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