Manar Amayri
Orcid: 0000-0002-5610-8833
According to our database1,
Manar Amayri
authored at least 58 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications.
Expert Syst. Appl., March, 2024
Proceedings of the 21st IEEE Consumer Communications & Networking Conference, 2024
2023
Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency.
Sensors, October, 2023
Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications.
Appl. Intell., July, 2023
IEEE Trans. Neural Networks Learn. Syst., June, 2023
Occupancy estimation in smart buildings using predictive modeling in imbalanced domains.
J. Ambient Intell. Humaniz. Comput., 2023
Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data.
IEEE Internet Things J., 2023
ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models.
Eng. Appl. Artif. Intell., 2023
Proceedings of the Tenth International Conference on Social Networks Analysis, 2023
Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Refining Nonparametric Mixture Models with Explainability for Smart Building Applications.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings.
Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems, 2023
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2023
Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers.
Proceedings of the 2023 8th International Conference on Intelligent Information Technology, 2023
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023
Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023
A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023
Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models.
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023
Occupancy Estimation in Smart Buildings: Impact of Data Quality on Feature Selection.
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023
Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context.
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023
2022
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model.
ACM Trans. Knowl. Discov. Data, 2022
Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning.
Sensors, 2022
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022
Proceedings of the Advances in Computational Collective Intelligence, 2022
Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022
2021
Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting.
Wirel. Pers. Commun., 2021
A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings.
IEEE Trans. Consumer Electron., 2021
On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach.
IEEE Access, 2021
Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting.
Proceedings of the International Symposium on Networks, Computers and Communications, 2021
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021
Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021
Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models.
Knowl. Based Syst., 2020
Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation.
Proceedings of the 2020 International Symposium on Networks, Computers and Communications, 2020
Variational learning of a shifted scaled Dirichlet model with component splitting approach.
Proceedings of the Third International Conference on Artificial Intelligence for Industries, 2020
2019
Estimating Occupancy from Measurements and Knowledge Using the Bayesian Network for Energy Management.
J. Sensors, 2019
Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments.
IEEE Access, 2019
A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019
A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings.
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019
Proceedings of the 6th International Conference on Control, 2019
Proceedings of the 6th International Conference on Control, 2019
2018
Decision tree and Parametrized classifier for Estimating occupancy in energy management.
Proceedings of the 5th International Conference on Control, 2018
2017
Proceedings of the 14th International Symposium on Pervasive Systems, 2017
Bayesian network and Hidden Markov Model for estimating occupancy from measurements and knowledge.
Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017