Manar Amayri - RankMe

92 papers A* 1B 4C 6Misc 4Journal 37Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive deep clustering via disentangled hyperspherical VAEs with contrastive geometry optimization. Neurocomputing Zhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila
2026	A*	`conf`	Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms. AAAI Jiaxun Guo, Manar Amayri, Nizar Bouguila, Xin Liu, Wentao Fan
2026	J	`jnl`	Feed forward neural network for non-intrusive load monitoring. Neural Comput. Appl. Muhammad Asad, Manar Amayri, Nizar Bouguila
2026	J	`jnl`	Flexible priors for cross-collection topic modeling: an approach with generalized Dirichlet and Beta-Liouville distributions. Int. J. Data Sci. Anal. Zhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila
2026	J	`jnl`	Latent Code Description for Unsupervised AHU Fault Detection Using Adaptive Adversarial Autoencoder. IEEE Trans Autom. Sci. Eng. Viet Tra, Manar Amayri, Nizar Bouguila
2026	J	`jnl`	Unsupervised Domain Adaptation With Source Data for Estimating Occupancy and Recognizing Activities in Smart Buildings. IEEE Trans. Artif. Intell. Jawher Dridi, Manar Amayri, Nizar Bouguila
2025	J	`jnl`	Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings. Neural Networks Jiaxun Guo, Wentao Fan, Manar Amayri, Nizar Bouguila
2025	J	`jnl`	Dirichlet and Liouville-based normality scores for deep anomaly detection using transformations: applications to images and beyond images. Appl. Intell. Oussama Sghaier, Manar Amayri, Nizar Bouguila
2025	—	`conf`	Dynamic Deep Clustering of High-Dimensional Directional Data via Hyperspherical Embeddings with Bayesian Nonparametric Mixtures. KDD (1) Zhiwen Luo, Wentao Fan, Manar Amayri, Nizar Bouguila
2025	J	`jnl`	Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms. CoRR Jiaxun Guo, Manar Amayri, Nizar Bouguila, Xin Liu, Wentao Fan
2025	Misc	`conf`	Flexible Dirichlet Mixture Model for Multi-modal data Clustering. FLAIRS Seunghyun Hong, Fatma Najar, Manar Amayri, Nizar Bouguila
2025	—	`conf`	Smart Building Management Application: Unsupervised First and Second-Order Moments Domain Adaptation for Occupant Behaviour Prediction Using IoT Sensor Data. CCNC Jawher Dridi, Manar Amayri, Nizar Bouguila
2025	—	`conf`	Topological Attention and Deep Learning Integration for Electricity Consumption Forecasting. SMARTGREENS Ahmed Ben Salem, Manar Amayri
2025	J	`jnl`	Toward Efficient Federated Load Forecasting: Personalization Mechanisms and Their Impact. IEEE Internet Things J. Maher Dissem, Manar Amayri
2025	J	`jnl`	Transformer-based deep probabilistic network for load forecasting. Eng. Appl. Artif. Intell. Omar Bouhamed, Maher Dissem, Manar Amayri, Nizar Bouguila
2025	—	`conf`	Uniting Mcdonald's Beta and Liouville Distributions to Empower Anomaly Detection. ICEIS (1) Oussama Sghaier, Manar Amayri, Nizar Bouguila
2025	—	`conf`	Unsupervised Partial Domain Adaptation for Occupants Behavior Modeling in Smart Buildings. SMARTGREENS Jawher Dridi, Manar Amayri, Nizar Bouguila
2025	J	`jnl`	Unsupervised anomaly detection and imputation in noisy time series data for enhancing load forecasting. Appl. Intell. Maher Dissem, Manar Amayri
2024	Misc	`conf`	A hierarchical count data clustering based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework. FLAIRS Fares Alkhawaja, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	A scaled dirichlet-based predictive model for occupancy estimation in smart buildings. Appl. Intell. Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
2024	—	`conf`	Adaptive Constrained ICABMGGMM: Application to ECG Blind Source Separation. ICONIP (5) Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Affinity-Driven Transfer Learning for Load Forecasting. Sensors Ahmed Rebei, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Explainable finite mixture of mixtures of bounded asymmetric generalized Gaussian and Uniform distributions learning for energy demand management. ACM Trans. Intell. Syst. Technol. Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	FSNet: A Hybrid Model for Seasonal Forecasting. IEEE Trans. Emerg. Top. Comput. Intell. Ahmed Rebei, Manar Amayri, Nizar Bouguila
2024	—	`conf`	Federated Learning Based Sparse Coding for Non-Intrusive Load Monitoring. ICHMS Skander Chouchene, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Hidden Markov models with multivariate bounded asymmetric student's t-mixture model emissions. Pattern Anal. Appl. Ons Bouarada, Muhammad Azam, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Libby-Novick Beta-Liouville Distribution for Enhanced Anomaly Detection in Proportional Data. ACM Trans. Intell. Syst. Technol. Oussama Sghaier, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Multi-Source Domain Adaptation Using Ambient Sensor Data. Appl. Artif. Intell. Jawher Dridi, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	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. Maher Dissem, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Non intrusive load monitoring using additive time series modeling via finite mixture models aggregation. J. Ambient Intell. Humaniz. Comput. Soudabeh Tabarsaii, Manar Amayri, Nizar Bouguila, Ursula Eicker
2024	J	`jnl`	Novel mixture allocation models for topic learning. Comput. Intell. Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Parallel inference for cross-collection latent generalized Dirichlet allocation model and applications. Expert Syst. Appl. Zhiwen Luo, Manar Amayri, Wentao Fan, Koffi Eddy Ihou, Nizar Bouguila
2024	—	`conf`	Robust Clustering with McDonald's Beta-Liouville Mixture Models for Proportional Data. ANNPR Oussama Sghaier, Manar Amayri, Nizar Bouguila
2024	—	`conf`	Robust Interactive HMI for Occupancy Estimation in Smart Buildings (WIP). CCNC Maher Dissem, Manar Amayri, Nizar Bouguila
2024	Misc	`conf`	Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture. FLAIRS Fares Alkhawaja, Manar Amayri, Nizar Bouguila
2024	J	`jnl`	Unsupervised Fault Detection for Building Air Handling Unit Systems Using Deep Variational Mixture of Principal Component Analyzers. IEEE Trans Autom. Sci. Eng. Viet Tra, Manar Amayri, Nizar Bouguila
2023	—	`conf`	A Comprehensive Analysis of a Hybrid Deep Learning Model for Midterm Electric Load Forecasting. HPCC/DSS/SmartCity/DependSys Hamdi Barkous, Manar Amayri, Nizar Bouguila
2023	—	`conf`	A Selective Supervised Latent Beta-Liouville Allocation for Document Classification. IEA/AIE (1) Zhiwen Luo, Manar Amayri, Wentao Fan, Nizar Bouguila
2023	—	`conf`	Adaptive Constrained ICAMGGMM: An Improvement Over ICA. SNAMS Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Adaptive Priors for Burstiness Analysis in Topic Modeling with Generalized Dirichlet Distributions. HPCC/DSS/SmartCity/DependSys Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila, Manar Amayri
2023	—	`conf`	Addressing Load Forecasting Challenges in Industrial Environments Using Time Series Deep Models. CIIS Mohamed Bouzid, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Assessing the Effectiveness of Supervised and Semi-supervised NILM Approaches in an Industrial Context. CIIS Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila, Frédéric Wurtz, Benoit Delinchant
2023	J	`jnl`	Bayesian Matrix Factorization for Semibounded Data. IEEE Trans. Neural Networks Learn. Syst. Oumayma Dalhoumi, Nizar Bouguila, Manar Amayri, Wentao Fan
2023	J	`jnl`	Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications. Appl. Intell. Zhiwen Luo, Manar Amayri, Wentao Fan, Nizar Bouguila
2023	—	`conf`	Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring. IEA/AIE (2) Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Enhanced Energy Characterization and Feature Selection Using Explainable Non-parametric AGGMM. ACIIDS (Companion) Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	B	`conf`	Enhancing Human Action Recognition with Asymmetric Generalized Gaussian Mixture Model-Based Hidden Markov Models and Bounded Support. SMC Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	B	`conf`	Explainable Robust Smart Meter Data Clustering for Improved Energy Management. SMC Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	—	`conf`	HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings. SMARTGREENS Fatemeh Rezapoor Nikroo, Manar Amayri, Nizar Bouguila
2023	J	`jnl`	ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models. Eng. Appl. Artif. Intell. Ali Algumaei, Muhammad Azam, Manar Amayri, Nizar Bouguila
2023	J	`jnl`	Liouville-Based Predictive Models for Occupancy Estimation Using Small Training Data. IEEE Internet Things J. Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
2023	B	`conf`	Multivariate Beta Normality Scores Approach for Deep Anomaly Detection in Images Using Transformations. SMC Oussama Sghaier, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Novel Topic Models for Content Based Recommender Systems. ICEIS (1) Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Novel Topic Models for Parallel Topics Extraction from Multilingual Text. ACIIDS (2) Kamal Maanicshah, Narges Manouchehri, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Occupancy Estimation in Smart Buildings: Impact of Data Quality on Feature Selection. CIIS Manar Amayri, Yogesh Pawar
2023	J	`jnl`	Occupancy estimation in smart buildings using predictive modeling in imbalanced domains. J. Ambient Intell. Humaniz. Comput. Jiaxun Guo, Manar Amayri, Fatma Najar, Wentao Fan, Nizar Bouguila
2023	B	`conf`	Refining Nonparametric Mixture Models with Explainability for Smart Building Applications. SMC Hussein Al-Bazzaz, Kumar Prabhakaran Saravanakumar, Manar Amayri, Nizar Bouguila
2023	—	`conf`	Unsupervised Anomaly Detection using Deep Autoencoding Mixture of Probabilistic Principal Component Analyzers. ICIIT Viet Tra, Hussein Al-Bazzaz, Manar Amayri, Nizar Bouguila
2023	J	`jnl`	Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency. Sensors Hussein Al-Bazzaz, Muhammad Azam, Manar Amayri, Nizar Bouguila
2022	C	`conf`	A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data. IEA/AIE Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
2022	—	`conf`	Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data. SSCI Jiaxun Guo, Manar Amayri, Wentao Fan, Nizar Bouguila
2022	—	`conf`	Explainable K-Means Clustering for Occupancy Estimation. FNC/MobiSPC/SEIT Kumar Prabhakaran, Jawher Dridi, Manar Amayri, Nizar Bouguila
2022	—	`conf`	Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model. SSCI Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2022	—	`conf`	Interactive Generalized Dirichlet Mixture Allocation Model. S+SSPR Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2022	—	`conf`	Stochastic Expectation Propagation Learning for Unsupervised Feature Selection. ICCCI (CCIS Volume) Wentao Fan, Manar Amayri, Nizar Bouguila
2022	J	`jnl`	Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model. ACM Trans. Knowl. Discov. Data Koffi Eddy Ihou, Manar Amayri, Nizar Bouguila
2022	J	`jnl`	Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning. Sensors Omar Bouhamed, Manar Amayri, Nizar Bouguila
2021	J	`jnl`	A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings. IEEE Trans. Consumer Electron. Jiaxun Guo, Manar Amayri, Nizar Bouguila, Wentao Fan
2021	Misc	`conf`	Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model. FLAIRS Mohammad Sadegh Ahmadzadeh, Narges Manouchehri, Hafsa Ennajari, Nizar Bouguila, Manar Amayri, Wentao Fan
2021	—	`conf`	Inverted Dirichlet State Space Model for Time Series Forecasting. ISIE Omar Graja, Fatma Najar, Manar Amayri, Nizar Bouguila
2021	—	`conf`	Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model. EUSIPCO Zixiang Xian, Muhammad Azam, Manar Amayri, Nizar Bouguila
2021	J	`jnl`	On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach. IEEE Access Behnam Farsi, Manar Amayri, Nizar Bouguila, Ursula Eicker
2021	—	`conf`	Online Variational Learning of Shifted Scaled Dirichlet Mixture. ISIE Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila
2021	—	`conf`	Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models. ICIT Yogesh Pawar, Manar Amayri, Nizar Bouguila
2021	J	`jnl`	Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting. Wirel. Pers. Commun. Kamal Maanicshah, Manar Amayri, Nizar Bouguila, Wentao Fan
2021	C	`conf`	Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting. ISNCC Ahmed Rebei, Oumayma Dalhoumi, Narges Manouchehri, Ali Baghdadi, Manar Amayri, Nizar Bouguila
2020	J	`jnl`	A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models. Knowl. Based Syst. Rim Nasfi, Manar Amayri, Nizar Bouguila
2020	C	`conf`	Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation. ISNCC Yogesh Pawar, Manar Amayri, Nizar Bouguila
2020	—	`conf`	Variational learning of a shifted scaled Dirichlet model with component splitting approach. AI4I Narges Manouchehri, Oumayma Dalhoumi, Manar Amayri, Nizar Bouguila
2019	—	`conf`	A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings. ISC2 Hieu Nguyen, Maryam Rahmanpour, Narges Manouchehri, Kamal Maanicshah, Manar Amayri, Nizar Bouguila
2019	—	`conf`	A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings. SSCI Manar Amayri, Stéphane Ploix, Fatma Najar, Nizar Bouguila, Frédéric Wurtz
2019	C	`conf`	An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures. CoDIT Fahdah Alalyan, Nuha Zamzami, Manar Amayri, Nizar Bouguila
2019	C	`conf`	Beta-Liouville Regression and Applications. CoDIT Divya Ankam, Nizar Bouguila, Manar Amayri
2019	J	`jnl`	Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments. IEEE Access Manar Amayri, Stéphane Ploix, Nizar Bouguila, Frédéric Wurtz
2019	J	`jnl`	Estimating Occupancy from Measurements and Knowledge Using the Bayesian Network for Energy Management. J. Sensors Manar Amayri, Stéphane Ploix, Hussain Kazmi, Quoc-Dung Ngo, El Abed El Safadi
2019	—	`conf`	Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications. ISIE Narges Manouchehri, Jaspreet Singh Kalsi, Manar Amayri, Nizar Bouguila
2019	—	`conf`	Indicators for Evaluation of Energetic Performance of Net Zero Energy Buildings. ISC2 Nana Kofi Twum-Duah, Manar Amayri, Frédéric Wurtz, Stéphane Ploix
2019	—	`conf`	Indicators for Self-assessment of Human Practices in Homes. SMARTGREENS Manar Amayri, Helene Haller, Stéphane Ploix, Frédéric Wurtz, Gilles Debizet
2019	—	`conf`	Online Clustering for Estimating Occupancy in an Office Setting. ISIE Nuha Zamzami, Manar Amayri, Nizar Bouguila, Stéphane Ploix
2018	C	`conf`	Decision tree and Parametrized classifier for Estimating occupancy in energy management. CoDIT Manar Amayri, Stéphane Ploix
2017	—	`conf`	Bayesian network and Hidden Markov Model for estimating occupancy from measurements and knowledge. IDAACS Manar Amayri, Quoc-Dung Ngo, El Abed El Safadi, Stéphane Ploix
2017	—	`conf`	Smart Home Futures: Algorithmic Challenges and Opportunities. ISPAN-FCST-ISCC Hussain Kazmi, Fahad Mehmood, Manar Amayri