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Neishabouri, A., & Desmarais, M. C. (2024). An ensemble approach to determine the number of latent dimensions and assess its reliability. Communications in Statistics: Simulation and Computation, 2328166 (26 pages). Lien externe
Neishabouri, A. (2021). Techniques to Infer the Number of Latent Dimensions [Thèse de doctorat, Polytechnique Montréal]. Disponible
Neishabouri, A., & Desmarais, M. C. (septembre 2021). Estimating the number of latent topics through a combination of methods [Communication écrite]. 25th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2021), Szczecin, Poland. Publié dans Procedia Computer Science, 192. Lien externe
Neishabouri, A., & Desmarais, M. C. (septembre 2021). Inferring the number and order of embedded topics across documents [Communication écrite]. 25th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2021), Szczecin, Poland. Publié dans Procedia Computer Science, 192. Lien externe
Neishabouri, A., & Desmarais, M. C. (mai 2020). Reliability of perplexity to find number of latent topics [Communication écrite]. 33rd International Florida Artificial Intelligence Research Society Conference (FLAIRS 2020), North Miami Beach, FL, USA. Lien externe
