| On short-term load forecasting using machine learning techniques and a novel parallel deep LSTM-CNN approach B Farsi, M Amayri, N Bouguila, U Eicker IEEE access 9, 31191-31212, 2021 | 219 | 2021 |
| Estimating occupancy in heterogeneous sensor environment M Amayri, A Arora, S Ploix, S Bandhyopadyay, QD Ngo, VR Badarla Energy and Buildings 129, 46-58, 2016 | 155 | 2016 |
| A novel approach for modeling positive vectors with inverted dirichlet-based hidden markov models R Nasfi, M Amayri, N Bouguila Knowledge-Based Systems 192, 105335, 2020 | 43 | 2020 |
| A new workflow for detailed urban scale building energy modeling using spatial joining of attributes for archetype selection SS Abolhassani, M Amayri, N Bouguila, U Eicker Journal of Building Engineering 46, 103661, 2022 | 41 | 2022 |
| Improving residential building energy simulations through occupancy data derived from commercial off-the-shelf Wi-Fi sensing technology SS Abolhassani, A Zandifar, N Ghourchian, M Amayri, N Bouguila, ... Energy and Buildings 272, 112354, 2022 | 35 | 2022 |
| Database quality assessment for interactive learning: Application to occupancy estimation M Amayri, S Ploix, N Bouguila, F Wurtz Energy and Buildings 209, 109578, 2020 | 34 | 2020 |
| Occupancy estimation using non intrusive sensors in energy efficient buildings A Arora, M Amayri, V Badarla, S Ploix, S Bandyopadhyay 14th Conference of International Building Performance Simulation Association …, 2015 | 33 | 2015 |
| Estimating occupancy using interactive learning with a sensor environment: Real-time experiments M Amayri, S Ploix, N Bouguila, F Wurtz Ieee Access 7, 53932-53944, 2019 | 32 | 2019 |
| Outlier detection via multiclass deep autoencoding Gaussian mixture model for building chiller diagnosis V Tra, M Amayri, N Bouguila Energy and Buildings 259, 111893, 2022 | 27 | 2022 |
| Explainable K-means clustering for occupancy estimation K Prabhakaran, J Dridi, M Amayri, N Bouguila Procedia Computer Science 203, 326-333, 2022 | 25 | 2022 |
| Estimating occupancy from measurements and knowledge using the bayesian network for energy management M Amayri, S Ploix, H Kazmi, QD Ngo, ELAEL Safadi Journal of Sensors 2019 (1), 7129872, 2019 | 25 | 2019 |
| Flexibility characterization of residential electricity consumption: A machine learning approach M Amayri, CS Silva, H Pombeiro, S Ploix Sustainable Energy, Grids and Networks 32, 100801, 2022 | 24 | 2022 |
| A statistical approach for unsupervised occupancy detection and estimation in smart buildings H Nguyen, M Rahmanpour, N Manouchehri, K Maanicshah, M Amayri, ... 2019 IEEE International Smart Cities Conference (ISC2), 414-419, 2019 | 23 | 2019 |
| Bayesian network and Hidden Markov Model for estimating occupancy from measurements and knowledge M Amayri, QD Ngo, S Ploix 2017 9th IEEE International Conference on Intelligent Data Acquisition and …, 2017 | 23 | 2017 |
| Hidden Markov models and applications N Bouguila, W Fan, M Amayri Springer, 2022 | 22 | 2022 |
| Transfer learning for estimating occupancy and recognizing activities in smart buildings J Dridi, M Amayri, N Bouguila Building and Environment 217, 109057, 2022 | 21 | 2022 |
| Smart home futures: Algorithmic challenges and opportunities H Kazmi, F Mehmood, M Amayri 2017 14th International Symposium on Pervasive Systems, Algorithms and …, 2017 | 21 | 2017 |
| Decision tree and parametrized classifier for estimating occupancy in energy management M Amayri, S Ploix 2018 5th International Conference on Control, Decision and Information …, 2018 | 20 | 2018 |
| Online clustering for estimating occupancy in an office setting N Zamzami, M Amayri, N Bouguila, S Ploix 2019 IEEE 28th international symposium on industrial electronics (ISIE …, 2019 | 18 | 2019 |
| Towards interactive learning for occupancy estimation M Amayri, S Ploix, P Reignier, S Bandyopadhyay ICAI'16-International Conference on Artificial Intelligence (as part of …, 2016 | 17 | 2016 |
