| Description of shape information for 2-D and 3-D objects E Paquet, M Rioux, A Murching, T Naveen, A Tabatabai Signal processing: Image communication 16 (1-2), 103-122, 2000 | 456 | 2000 |
| The CAESAR project: a 3-D surface anthropometry survey KM Robinette, H Daanen, E Paquet Second international conference on 3-D digital imaging and modeling (cat. No …, 1999 | 394 | 1999 |
| Molecular dynamics, monte carlo simulations, and langevin dynamics: a computational review E Paquet, HL Viktor BioMed research international 2015 (1), 183918, 2015 | 207 | 2015 |
| Nefertiti: a query by content system for three-dimensional model and image databases management E Paquet, M Rioux Image and Vision Computing 17 (2), 157-166, 1999 | 142 | 1999 |
| Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder—DeepBreath F Soleymani, E Paquet Expert Systems with Applications 156, 113456, 2020 | 140 | 2020 |
| SCUT: Multi-class imbalanced data classification using SMOTE and cluster-based undersampling A Agrawal, HL Viktor, E Paquet 2015 7Th international joint conference on knowledge discovery, knowledge …, 2015 | 129 | 2015 |
| Nefertiti: a query by content software for three-dimensional models databases management E Paquet, M Rioux Proceedings. International Conference on Recent Advances in 3-D Digital …, 1997 | 109 | 1997 |
| McDiarmid drift detection methods for evolving data streams A Pesaranghader, HL Viktor, E Paquet 2018 International joint conference on neural networks (IJCNN), 1-9, 2018 | 107 | 2018 |
| Method of searching three-dimensional images M Rioux, E Paquet US Patent 6,016,487, 2000 | 89 | 2000 |
| Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams A Pesaranghader, H Viktor, E Paquet Machine Learning 107 (11), 1711-1743, 2018 | 88 | 2018 |
| Computational methods for ab initio molecular dynamics E Paquet, HL Viktor Advances in Chemistry 2018 (1), 9839641, 2018 | 79 | 2018 |
| Protein–protein interaction prediction with deep learning: A comprehensive review F Soleymani, E Paquet, H Viktor, W Michalowski, D Spinello Computational and Structural Biotechnology Journal 20, 5316-5341, 2022 | 72 | 2022 |
| Long-term preservation of 3-D cultural heritage data related to architectural sites E Paquet, HL Viktor Proceedings of the ISPRS Working Group 4, 1-8, 2005 | 72 | 2005 |
| Virtual reconstruction of heritage sites: opportunities and challenges created by 3D technologies JA Beraldin, M Picard, S El-Hakim, G Godin, L Borgeat, F Blais, E Paquet, ... the International workshop on recording, modeling and visualization of …, 2005 | 66 | 2005 |
| A content-based search engine for VRML databases E Paquet, M Rioux Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and …, 1998 | 65 | 1998 |
| Deep graph convolutional reinforcement learning for financial portfolio management–DeepPocket F Soleymani, E Paquet Expert Systems with Applications 182, 115127, 2021 | 57 | 2021 |
| Nefertiti: A tool for 3-D shape databases management E Paquet, M Rioux SAE transactions, 387-393, 1999 | 56 | 1999 |
| Method of searching 3-Dimensional images M Rioux, E Paquet US Patent 6,631,364, 2003 | 54 | 2003 |
| Management of three-dimensional and anthropometric databases: Alexandria and Cleopatra E Paquet, K Robinette, M Rioux Journal of Electronic Imaging 9 (4), 421-431, 2000 | 48 | 2000 |
| Modeling an Evolutionary Conserved Circadian Cis-Element ER Paquet, G Rey, F Naef PLoS computational biology 4 (2), e38, 2008 | 40 | 2008 |
