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2025	Hierarchical data modeling: A systematic comparison of statistical, tree-based, and neural network approaches Machine Learning with Applications Marzieh Amiri Shahbazi, Nasibeh Azadeh-Fard
2025	A novel, human-in-the-loop computational grounded theory framework for big social data Big Data & Society Lama Alqazlan, Zheng Fang, Michael Castelle, Rob Procter
2024	Topic models with elements of neural networks: investigation of stability, coherence, and determining the optimal number of topics PeerJ Computer Science Sergei Koltcov, Anton Surkov, Vladimir Filippov, Vera Ignatenko
2024	Revisiting Probabilistic Latent Semantic Analysis: Extensions, Challenges and Insights Technologies Pau Figuera, Pablo García Bringas
2024	Fine-Tuning Topic Modelling: A Coherence-Focused Analysis of Correlated Topic Models Infolitika Journal of Data Science Syahrial Syahrial, Razief Perucha Fauzie Afidh
2024	Uncovering lobbying strategies in sustainable finance disclosure regulations using machine learning Journal of Environmental Management Enrico Haase, Remmer Sassen
2023	Diagnostics of the Topic Model for a Collection of Text Messages Based on Hierarchical Clustering of Terms Lobachevskii Journal of Mathematics A. V. Sychev
2022	Trends in wildfire-related bills in California, 2001–2020 Environmental Research: Climate Rebecca K Miller, Lin Shi, David A Wulf, Katharine J Mach
2022	Optimized Multiscale Entropy Model Based on Resting-State fMRI for Appraising Cognitive Performance in Healthy Elderly Computational and Mathematical Methods in Medicine Fan Yang, Fuyi Zhang, Abdelkader Nasreddine Belkacem, Chong Xie, Ying Wang, Shenghua Chen, Zekun Yang, Zibo Song, Manling Ge, Chao Chen
2022	Communications in Computer and Information Science Sergei Koltcov