| 2025 | IJCNN | Protein structure generation using a variational autoencoder with Lvy noise and quantum graph transformer. | Eric Paquet, Herna L. Viktor, Wojtek Michalowski |
| 2024 | QCE | Calo4pQVAE: Quantum-Assisted 4-Partite VAE Surrogate for High Energy Particle-Calorimeter Interactions. | Sebastian Gonzalez, Hao Jia, Javier Quetzalcatl Toledo-Marn, Sehmimul Hoque, Abhishek Abhishek, Ian Lu, Deniz Sogutlu, Sren Anderson, Colin Gay, Eric Paquet, Roger G. Melko, Geoffrey C. Fox, Maximilian Swiatlowski, Wojciech Fedorko |
| 2022 | AICCSA | 3D Deformable Protein Shapes Classification based on Triangles-Stars and Composite Deep Neural Networks. | Kamel Madi, Eric Paquet |
| 2021 | IJCNN | Paying Attention: Using a Siamese Pyramid Network for the Prediction of Protein-Protein Interactions with Folding and Self-Binding Primary Sequences. | Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski |
| 2019 | AICCSA | New Graph Distance Based on Stable Marriage Formulation for Deformable 3D Objects Recognition. | Kamel Madi, Eric Paquet, Hamamache Kheddouci |
| 2019 | IC3K | Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems. | Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet |
| 2019 | IC3K | Active Learning and Deep Learning for the Cold-Start Problem in Recommendation System: A Comparative Study. | Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet |
| 2018 | IC3K | Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems. | Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet |
| 2018 | IC3K | HCC-Learn Framework for Hybrid Learning in Recommender Systems. | Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet |
| 2018 | IJCNN | McDiarmid Drift Detection Methods for Evolving Data Streams. | Ali Pesaranghader, Herna L. Viktor, Eric Paquet |
| 2017 | DIS | Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams. | Sarah D'Ettorre, Herna L. Viktor, Eric Paquet |
| 2017 | IC3K | Exploring Mediatoil Imagery: A Content-based Approach. | Sahil Saroop, Herna L. Viktor, Patrick McCurdy, Eric Paquet |
| 2016 | DIS | A Framework for Classification in Data Streams Using Multi-strategy Learning. | Ali Pesaranghader, Herna L. Viktor, Eric Paquet |
| 2016 | IC3K | An Active Learning Approach for Ensemble-based Data Stream Mining. | Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet |
| 2015 | IC3K | SCUT: Multi-Class Imbalanced Data Classification using SMOTE and Cluster-based Undersampling. | Astha Agrawal, Herna L. Viktor, Eric Paquet |
| 2014 | INISTA | A Quantum Particle Swarm Optimization and Genetic Algorithm approach to the correspondence problem. | Hamid Hadavi, Herna L. Viktor, Eric Paquet |
| 2013 | BIBE | An isometry-invariant spectral approach for protein-protein docking. | Dela De Youngster, Eric Paquet, Herna L. Viktor, Emil M. Petriu |
| 2013 | CAIP | Isometrically Invariant Description of Deformable Objects Based on the Fractional Heat Equation. | Eric Paquet, Herna Lydia Viktor |
| 2013 | IJCNN | Artificial neural networks for predicting 3D protein shapes from amino acid sequences. | Herna L. Viktor, Eric Paquet, Jing Zhao |
| 2012 | PST | Aggregation and privacy in multi-relational databases. | Yasser Jafer, Herna L. Viktor, Eric Paquet |
| 2011 | IC3K | To Aggregate or Not to Aggregate: That is the Question. | Eric Paquet, Herna L. Viktor, Hongyu Guo |
| 2010 | ICDM | Identifying and Preventing Data Leakage in Multi-relational Classification. | Hongyu Guo, Herna L. Viktor, Eric Paquet |
| 2009 | DaWaK | Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures. | Isis Pea, Herna L. Viktor, Eric Paquet |
| 2009 | IC3K | Finding Protein Family Similarities in Real Time through Multiple 3D and 2D Representations, Indexing and Exhaustive Searching. | Eric Paquet, Herna Lydia Viktor |
| 2009 | IC3K | Explorative Data Mining for the Sizing of Population Groups. | Isis Pea, Herna Lydia Viktor, Eric Paquet |
| 1998 | CVPR | A Content-Based Search Engine for VRML Databases. | Eric Paquet, Marc Rioux |