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Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings
期刊论文
Neural Networks,2025, 卷号: 183
作者:
Guo,Jiaxun
;
Fan,Wentao
;
Amayri,Manar
;
Bouguila,Nizar
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2025/03/10
Clustering
Data augmentation
Gamma mixture models
VAE
Variational inference
A scaled dirichlet-based predictive model for occupancy estimation in smart buildings
期刊论文
Applied Intelligence,2024, 卷号: 54, 期号: 11-12, 页码: 6981-6996
作者:
Guo, Jiaxun
;
Amayri, Manar
;
Fan, Wentao
;
Bouguila, Nizar
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/09/04
Mixture models
Occupancy estimation
Predictive modelling
Scaled dirichlet
Small sensor data
Variational inference
Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data
期刊论文
IEEE Internet of Things Journal,2023, 卷号: 10, 期号: 21, 页码: 18876-18889
作者:
Guo, Jiaxun
;
Amayri, Manar
;
Fan, Wentao
;
Bouguila, Nizar
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/11/21
Mixture models
occupancy estimation
predictive modeling
small sensor data
variational inference
Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings
期刊论文
IEEE Transactions on Neural Networks and Learning Systems,2023, 卷号: 34, 期号: 9, 页码: 6303-6312
作者:
Yang, Lin
;
Fan, Wentao
;
Bouguila, Nizar
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2025/07/15
Clustering
data augmentation
dual variational autoencoder
mixture models
variational autoencoder (VAE)
variational inference
von Mises-Fisher mixture model
Occupancy estimation in smart buildings using predictive modeling in imbalanced domains
期刊论文
Journal of Ambient Intelligence and Humanized Computing,2023, 卷号: 14, 期号: 8, 页码: 10917-10929
作者:
Guo, Jiaxun
;
Amayri, Manar
;
Najar, Fatma
;
Fan, Wentao
;
Bouguila, Nizar
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2025/07/15
Imbalanced domains
Mixture models
Occupancy estimation
Over-sampling
Predictive modeling
Smart buildings
Variational learning
Hierarchical Dirichlet and Pitman-Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling
期刊论文
COMPUTATIONAL INTELLIGENCE,2022, 卷号: 38, 期号: 6, 页码: 2095-2115
作者:
Baghdadi, Ali
;
Manouchehri, Narges
;
Patterson, Zachary
;
Fan, Wentao
;
Bouguila, Nizar
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2025/07/24
batch variational learning
hierarchical Dirichlet process
hierarchical Pitman-Yor process
infinite mixture models
online variational learning
shifted-scaled Dirichlet distribution
Hierarchical Dirichlet and Pitman–Yor process mixtures of shifted-scaled Dirichlet distributions for proportional data modeling
期刊论文
Computational Intelligence,2022, 卷号: 38, 期号: 6, 页码: 2095-2115
作者:
Baghdadi, Ali
;
Manouchehri, Narges
;
Patterson, Zachary
;
Fan, Wentao
;
Bouguila, Nizar
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2025/07/15
batch variational learning
hierarchical Dirichlet process
hierarchical Pitman–Yor process
infinite mixture models
online variational learning
shifted-scaled Dirichlet distribution
Expectation propagation learning of finite multivariate Beta mixture models and applications
期刊论文
Neural Computing and Applications,2022, 卷号: 34, 期号: 17, 页码: 14275-14285
作者:
Manouchehri, Narges
;
Bouguila, Nizar
;
Fan, Wentao
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2025/07/15
EEG
Expectation propagation
Forgery detection
Human activity recognition
IoT
Mixture models
Multivariate beta distribution
Sentiment analysis
Unsupervised learning
Mixture regression for longitudinal data based on joint mean–covariance model
期刊论文
Journal of Multivariate Analysis,2022, 卷号: 190
作者:
Yu, Jing
;
Nummi, Tapio
;
Pan, Jianxin
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2022/02/23
Finite mixture models
Heterogeneity
Joint mean–covariance model
Modified Cholesky decomposition
Progression trajectory
A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data
会议论文
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Kitakyushu, JAPAN, JUL 19-22, 2022
作者:
Guo, Jiaxun
;
Amayri, Manar
;
Fan, Wentao
;
Bouguila, Nizar
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2025/07/15
Activity recognition
Mixture models
Predictive distribution
Small sensor data
Variational inference