192 results on '"Amayri, Manar"'
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2. Hidden Markov models with multivariate bounded asymmetric student’s t-mixture model emissions
3. Dirichlet and Liouville-based normality scores for deep anomaly detection using transformations: applications to images and beyond images
4. Unsupervised anomaly detection and imputation in noisy time series data for enhancing load forecasting
5. A scaled dirichlet-based predictive model for occupancy estimation in smart buildings
6. Robust Clustering with McDonald’s Beta-Liouville Mixture Models for Proportional Data
7. A novel non-intrusive load monitoring technique using semi-supervised deep learning framework for smart grid
8. Explainable domain adaptation for imbalanced occupancy estimation
9. Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings
10. Occupancy estimation in smart buildings using predictive modeling in imbalanced domains
11. Evaluation of regression models and Bayes-Ensemble Regressor technique for non-intrusive load monitoring
12. Unsupervised clustering-based domain adaptation for estimating occupancy and recognizing activities in smart buildings
13. Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM
14. Novel Topic Models for Parallel Topics Extraction from Multilingual Text
15. A Selective Supervised Latent Beta-Liouville Allocation for Document Classification
16. Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring
17. Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications
18. Multivariate Beta-Based Hidden Markov Models Applied to Human Activity Recognition
19. A Novel Continuous Hidden Markov Model for Modeling Positive Sequential Data
20. Bounded Asymmetric Gaussian Mixture-Based Hidden Markov Models
21. Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications
22. ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models
23. Novel Topic Models for Parallel Topics Extraction from Multilingual Text
24. Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM
25. A Selective Supervised Latent Beta-Liouville Allocation for Document Classification
26. Interactive Generalized Dirichlet Mixture Allocation Model
27. Stochastic Expectation Propagation Learning for Unsupervised Feature Selection
28. A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data
29. Machine Learning for Activity Recognition in Smart Buildings: A Survey
30. Characterization of Energy Demand and Energy Services Using Model-Based and Data-Driven Approaches
31. Flexibility characterization of residential electricity consumption: A machine learning approach
32. A new workflow for detailed urban scale building energy modeling using spatial joining of attributes for archetype selection
33. Libby-Novick Beta-Liouville Distribution for Enhanced Anomaly Detection in Proportional Data.
34. Explainable K-Means Clustering for Occupancy Estimation
35. Occupant counting model development for urban building energy modeling using commercial off-the-shelf Wi-Fi sensing technology
36. Novel mixture allocation models for topic learning
37. Stochastic Expectation Propagation Learning for Unsupervised Feature Selection
38. A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data
39. Unsupervised Fault Detection for Building Air Handling Unit Systems Using Deep Variational Mixture of Principal Component Analyzers
40. Affinity-Driven Transfer Learning for Load Forecasting.
41. Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management.
42. A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models
43. Neural Architecture Search for Anomaly Detection in Time Series Data of Smart Buildings: A Reinforcement Learning Approach for Optimal Autoencoder Design
44. Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context
45. Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models
46. Adaptive Constrained ICAMGGMM: An Improvement Over ICA
47. Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency
48. Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications
49. Unsupervised domain adaptation with and without access to source data for estimating occupancy and recognizing activities in smart buildings
50. HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings
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