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Manar Amayri
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2020 – today
- 2024
- [j23]Jiaxun Guo
, Manar Amayri, Wentao Fan, Nizar Bouguila:
A scaled dirichlet-based predictive model for occupancy estimation in smart buildings. Appl. Intell. 54(11-12): 6981-6996 (2024) - [j22]Zhiwen Luo
Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications. Expert Syst. Appl. 238(Part A): 121720 (2024) - [j21]Maher Dissem
Neural Architecture Search for Anomaly Detection in Time-Series Data of Smart Buildings: A Reinforcement Learning Approach for Optimal Autoencoder Design. IEEE Internet Things J. 11(10): 18059-18073 (2024) - [j20]Soudabeh Tabarsaii, Manar Amayri, Nizar Bouguila
Non intrusive load monitoring using additive time series modeling via finite mixture models aggregation. J. Ambient Intell. Humaniz. Comput. 15(9): 3359-3378 (2024) - [j19]Ons Bouarada, Muhammad Azam, Manar Amayri, Nizar Bouguila
Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions. Pattern Anal. Appl. 27(4): 117 (2024) - [j18]Ahmed Rebei
Affinity-Driven Transfer Learning for Load Forecasting. Sensors 24(17): 5802 (2024) - [j17]Viet Tra, Manar Amayri, Nizar Bouguila:
Unsupervised Fault Detection for Building Air Handling Unit Systems Using Deep Variational Mixture of Principal Component Analyzers. IEEE Trans Autom. Sci. Eng. 21(4): 6787-6803 (2024) - [j16]Ahmed Rebei
FSNet: A Hybrid Model for Seasonal Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1167-1180 (2024) - [j15]Hussein Al-Bazzaz
Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management. ACM Trans. Intell. Syst. Technol. 15(4): 64:1-64:26 (2024) - [c47]Oussama Sghaier
Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data. ANNPR 2024: 49-60 - [c46]Maher Dissem
Robust Interactive HMI for Occupancy Estimation in Smart Buildings (WIP). CCNC 2024: 202-205 - [c45]Fares Alkhawaja, Manar Amayri, Nizar Bouguila:
A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework. FLAIRS 2024 - [c44]Fares Alkhawaja, Manar Amayri, Nizar Bouguila:
Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture. FLAIRS 2024 - [c43]Skander Chouchene, Manar Amayri, Nizar Bouguila:
Federated Learning Based Sparse Coding for Non-Intrusive Load Monitoring. ICHMS 2024: 1-6 - 2023
- [j14]Zhiwen Luo
Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications. Appl. Intell. 53(14): 17824-17848 (2023) - [j13]Ali Algumaei, Muhammad Azam
ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models. Eng. Appl. Artif. Intell. 123(Part B): 106345 (2023) - [j12]Jiaxun Guo
Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data. IEEE Internet Things J. 10(21): 18876-18889 (2023) - [j11]Jiaxun Guo, Manar Amayri, Fatma Najar, Wentao Fan, Nizar Bouguila
Occupancy estimation in smart buildings using predictive modeling in imbalanced domains. J. Ambient Intell. Humaniz. Comput. 14(8): 10917-10929 (2023) - [j10]Hussein Al-Bazzaz
Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency. Sensors 23(19): 8296 (2023) - [j9]Oumayma Dalhoumi
Bayesian Matrix Factorization for Semibounded Data. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3111-3123 (2023) - [c42]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. ACIIDS (Companion) 2023: 145-156 - [c41]Kamal Maanicshah
Novel Topic Models for Parallel Topics Extraction from Multilingual Text. ACIIDS (2) 2023: 297-309 - [c40]Mohammad Kaosain Akbar
Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context. CIIS 2023: 7-13 - [c39]Mohamed Bouzid
Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models. CIIS 2023: 52-58 - [c38]Manar Amayri
Occupancy Estimation in Smart Buildings: Impact of Data Quality on Feature Selection. CIIS 2023: 91-97 - [c37]Hamdi Barkous, Manar Amayri, Nizar Bouguila:
A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting. HPCC/DSS/SmartCity/DependSys 2023: 795-800 - [c36]Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila, Manar Amayri:
Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions. HPCC/DSS/SmartCity/DependSys 2023: 926-933 - [c35]Kamal Maanicshah, Manar Amayri, Nizar Bouguila:
Novel Topic Models for Content Based Recommender Systems. ICEIS (1) 2023: 138-145 - [c34]Viet Tra
Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers. ICIIT 2023: 203-208 - [c33]Zhiwen Luo
A Selective Supervised Latent Beta-Liouville Allocation for Document Classification. IEA/AIE (1) 2023: 37-48 - [c32]Mohammad Kaosain Akbar
Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring. IEA/AIE (2) 2023: 59-65 - [c31]Fatemeh Rezapoor Nikroo
HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings. SMARTGREENS 2023: 81-88 - [c30]Oussama Sghaier, Manar Amayri, Nizar Bouguila:
Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations. SMC 2023: 3428-3433 - [c29]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support. SMC 2023: 3446-3451 - [c28]Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Explainable Robust Smart Meter Data Clustering for Improved Energy Management. SMC 2023: 5194-5199 - [c27]Hussein Al-Bazzaz, Kumar Prabhakaran Saravanakumar, Manar Amayri, Nizar Bouguila:
Refining Nonparametric Mixture Models with Explainability for Smart Building Applications. SMC 2023: 5212-5217 - [c26]Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila:
Adaptive Constrained ICAMGGMM: An Improvement Over ICA. SNAMS 2023: 1-7 - 2022
- [j8]Omar Bouhamed
Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning. Sensors 22(9): 3186 (2022) - [j7]Koffi Eddy Ihou, Manar Amayri
Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model. ACM Trans. Knowl. Discov. Data 16(5): 84:1-84:48 (2022) - [c25]Kumar Prabhakaran, Jawher Dridi
Explainable K-Means Clustering for Occupancy Estimation. FNC/MobiSPC/SEIT 2022: 326-333 - [c24]Wentao Fan
Stochastic Expectation Propagation Learning for Unsupervised Feature Selection. ICCCI (CCIS Volume) 2022: 674-686 - [c23]Jiaxun Guo, Manar Amayri
A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data. IEA/AIE 2022: 431-442 - [c22]Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila:
Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data. SSCI 2022: 223-230 - [c21]Kamal Maanicshah, Manar Amayri, Nizar Bouguila:
Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model. SSCI 2022: 1143-1148 - [c20]Kamal Maanicshah
Interactive Generalized Dirichlet Mixture Allocation Model. S+SSPR 2022: 33-42 - 2021
- [j6]Behnam Farsi
On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach. IEEE Access 9: 31191-31212 (2021) - [j5]Jiaxun Guo, Manar Amayri
A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings. IEEE Trans. Consumer Electron. 67(4): 285-293 (2021) - [j4]Kamal Maanicshah
Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting. Wirel. Pers. Commun. 119(2): 1817-1844 (2021) - [c19]Zixiang Xian, Muhammad Azam, Manar Amayri
Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model. EUSIPCO 2021: 1436-1440 - [c18]Mohammad Sadegh Ahmadzadeh, Narges Manouchehri
Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. FLAIRS 2021 - [c17]Yogesh Pawar, Manar Amayri
Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models. ICIT 2021: 913-918 - [c16]Omar Graja, Fatma Najar, Manar Amayri
Inverted Dirichlet State Space Model for Time Series Forecasting. ISIE 2021: 1-6 - [c15]Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri
Online Variational Learning of Shifted Scaled Dirichlet Mixture. ISIE 2021: 1-6 - [c14]Ahmed Rebei
Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting. ISNCC 2021: 1-6 - 2020
- [j3]Rim Nasfi, Manar Amayri
A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models. Knowl. Based Syst. 192: 105335 (2020) - [c13]Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri
Variational learning of a shifted scaled Dirichlet model with component splitting approach. AI4I 2020: 75-78 - [c12]Yogesh Pawar
Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation. ISNCC 2020: 1-6
2010 – 2019
- 2019
- [j2]Manar Amayri
Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments. IEEE Access 7: 53932-53944 (2019) - [j1]Manar Amayri
Estimating Occupancy from Measurements and Knowledge Using the Bayesian Network for Energy Management. J. Sensors 2019: 7129872:1-7129872:12 (2019) - [c11]Fahdah Alalyan, Nuha Zamzami, Manar Amayri
An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures. CoDIT 2019: 1723-1728 - [c10]Divya Ankam, Nizar Bouguila, Manar Amayri:
Beta-Liouville Regression and Applications. CoDIT 2019: 1740-1745 - [c9]Nana Kofi Twum-Duah
Indicators for Evaluation of Energetic Performance of Net Zero Energy Buildings. ISC2 2019: 136-142 - [c8]Hieu Nguyen, Maryam Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri
A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings. ISC2 2019: 414-419 - [c7]Narges Manouchehri, Jaspreet Singh Kalsi, Manar Amayri
Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications. ISIE 2019: 1407-1412 - [c6]Nuha Zamzami
Online Clustering for Estimating Occupancy in an Office Setting. ISIE 2019: 2195-2200 - [c5]Manar Amayri
Indicators for Self-assessment of Human Practices in Homes. SMARTGREENS 2019: 116-122 - [c4]Manar Amayri, Stéphane Ploix, Fatma Najar, Nizar Bouguila, Frédéric Wurtz:
A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings. SSCI 2019: 1729-1734 - 2018
- [c3]Manar Amayri, Stéphane Ploix:
Decision tree and Parametrized classifier for Estimating occupancy in energy management. CoDIT 2018: 397-402 - 2017
- [c2]Manar Amayri, Quoc-Dung Ngo, El Abed El Safadi, Stéphane Ploix
Bayesian network and Hidden Markov Model for estimating occupancy from measurements and knowledge. IDAACS 2017: 690-695 - [c1]Hussain Syed Kazmi
Smart Home Futures: Algorithmic Challenges and Opportunities. ISPAN-FCST-ISCC 2017: 441-448
Coauthor Index
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last updated on 2024-10-30 20:32 CET by the dblp team
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