534 results on '"Bouguila, Nizar"'
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2. Bayesian Inference in Infinite Multivariate McDonald’s Beta Mixture Model
3. Finite Libby-Novick Beta Mixture Model: An MML-Based Approach
4. Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM
5. A Selective Supervised Latent Beta-Liouville Allocation for Document Classification
6. Hidden Variable Models in Text Classification and Sentiment Analysis
7. Unsupervised clustering-based domain adaptation for estimating occupancy and recognizing activities in smart buildings
8. Occupant counting model development for urban building energy modeling using commercial off-the-shelf Wi-Fi sensing technology
9. Novel mixture allocation models for topic learning
10. Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management
11. FishSegSSL: A Semi-Supervised Semantic Segmentation Framework for Fish-Eye Images
12. Big topic modeling based on a two-level hierarchical latent Beta-Liouville allocation for large-scale data and parameter streaming
13. Evaluation of Regression Models and Bayes-Ensemble Regressor Technique for Non-Intrusive Load Monitoring
14. Stochastic Expectation Propagation Learning for Unsupervised Feature Selection
15. Interactive Generalized Dirichlet Mixture Allocation Model
16. Knowledge-enhanced Spherical Representation Learning for Text Classification
17. A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data
18. Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach
19. Bounded Asymmetric Gaussian Mixture-Based Hidden Markov Models
20. Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation
21. Improved Training for 3D Point Cloud Classification
22. Multivariate Beta-Based Hierarchical Dirichlet Process Hidden Markov Models in Medical Applications
23. Neural Architecture Search for Anomaly Detection in Time Series Data of Smart Buildings: A Reinforcement Learning Approach for Optimal Autoencoder Design
24. PatchSVD: A Non-Uniform SVD-Based Image Compression Algorithm
25. Advancing Multinomial Regression and Topic Modeling with Beta-Liouville Distributions
26. Semantic Segmentation Using Transfer Learning on Fisheye Images
27. Iterative Feature Boosting for Explainable Speech Emotion Recognition
28. Perceptions of self-monitoring dietary intake according to a plate-based approach: A qualitative study
29. Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context
30. Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models
31. Adaptive Constrained ICAMGGMM: An Improvement Over ICA
32. Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach
33. Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model
34. Sparse Document Analysis Using Beta-Liouville Naive Bayes with Vocabulary Knowledge
35. Machine Learning for Activity Recognition in Smart Buildings: A Survey
36. Mixture-Based Unsupervised Learning for Positively Correlated Count Data
37. Finite multi-dimensional generalized Gamma Mixture Model Learning for feature selection
38. Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering
39. Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications
40. Clustering Count Data with Stochastic Expectation Propagation
41. Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model
42. Variational learning of finite shifted scaled Dirichlet mixture models
43. Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary Learning
44. List of contributors
45. Generalized Probabilistic Clustering Projection Models for Discrete Data
46. DualMLP: a two-stream fusion model for 3D point cloud classification
47. Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency
48. A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder
49. The use of GANs and transfer learning in model-order reduction of turbulent wake of an isolated high-rise building
50. Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks
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