Nefertiti: A Query by Content Software for Three-Dimensional Models Databases Management. - Eric Paquet; Marc Rioux (3DIM, 1997)

Three-dimensional Polychromatic Objects Classification Based on Amplitude Modulation and Amplitude-shift Keying. - Eric Paquet (Real Time Imaging, 1997)

A Content-Based Search Engine for VRML Databases. - Eric Paquet; Marc Rioux (CVPR, 1998)

Content-Based Access of VRML Libraries. - Eric Paquet; Marc Rioux (Multimedia Information Analysis and Retrieval, 1998)

The MPEG-7 Standard and the Content-Based Management of Three-Dimensional Data: A Case Study. - Eric Paquet; Marc Rioux (ICMCS, Vol. 1, 1999)

Crawling, Indexing and Retrieval of Three-Dimensional Data on the Web in the Framework of MPEG-7. - Eric Paquet; Marc Rioux (VISUAL, 1999)

Nefertiti: a query by content system for three-dimensional model and image databases management. - Eric Paquet; Marc Rioux (Image Vis. Comput., 1999)

Management of three-dimensional and anthropometric databases: Alexandria and Cleopatra. - Eric Paquet; Kathleen M. Robinette; Marc Rioux (J. Electronic Imaging, 2000)

Description of shape information for 2-D and 3-D objects. - Eric Paquet; Marc Rioux; Anil M. Murching; Thumpudi Naveen; Ali J. Tabatabai (Signal Process. Image Commun., 2000)

The Virtual Boutique: a Synergic Approach to Virtualization, Content-based Management of 3D Information, 3D Data Mining an Virtual Reality for E-commerce. - Eric Paquet; Herna L. Viktor; Shawn Peter (3DPVT, 2002)

Visualisation of Highly Textured Surfaces. - Sabry F. El-Hakim; Lorenzo Gonzo; Michel Picard; Stefano Girardi; Andrea Simoni; Eric Paquet; Herna L. Viktor; Claus Brenner (VAST, 2003)

On the application of 3D technologies to the framework of cultural heritage. - Eric Paquet; Herna L. Viktor (Ann. des Télécommunications, 2005)

Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification. - Herna L. Viktor; Eric Paquet; Hongyu Guo (PKDD, 2006)

Invariant Robust 3-D Face Recognition based on the Hilbert Transform in Spectral Space. - Eric Paquet; Marc Rioux (J. Multim., 2006)

Long term digital preservation - An end user's perspective. - Julie Doyle; Herna L. Viktor; Eric Paquet (ICDIM, 2007)

Pruning Relations for Substructure Discovery of Multi-relational Databases. - Hongyu Guo; Herna L. Viktor; Eric Paquet (PKDD, 2007)

Representation of 3D and 4D Objects Based on an Associated Curved Space and a General Coordinate Transformation Invariant Description. - Eric Paquet (EURASIP J. Adv. Signal Process., 2007)

Adjustment of Virtual Mannequins Through Anthropometric Measurements, Cluster Analysis, and Content-Based Retrieval of 3-D Body Scans. - Eric Paquet; Herna L. Viktor (IEEE Trans. Instrum. Meas., 2007)

Preservation metadata - a framework for 3D data based on the Semantic Web. - Julie Doyle; Herna L. Viktor; Eric Paquet (ICDIM, 2008)

Capri/MR: exploring protein databases from a structural and physicochemical point of view. - Eric Paquet; Herna L. Viktor (Proc. VLDB Endow., 2008)

Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures. - Isis Peña; Herna L. Viktor; Eric Paquet (DaWaK, 2009)

Finding Protein Family Similarities in Real Time through Multiple 3D and 2D Representations, Indexing and Exhaustive Searching. - Eric Paquet; Herna Lydia Viktor (KDIR, 2009)

Explorative Data Mining for the Sizing of Population Groups. - Isis Peña; Herna Lydia Viktor; Eric Paquet (KDIR, 2009)

Long-term digital preservation: preserving authenticity and usability of 3-D data. - Julie Doyle; Herna L. Viktor; Eric Paquet (Int. J. Digit. Libr., 2009)

Visual Data Mining from Visualization to Visual Information Mining. - Herna L. Viktor; Eric Paquet (Encyclopedia of Data Warehousing and Mining, 2009)

Index spaces for 3D retrieval: toward a better understanding of their geometry and distribution. - Eric Paquet; Herna L. Viktor (Three-Dimensional Image Processing (3DIP) and Applications, 2010)

Preserving object-relational databases for the next generations. - Herna L. Viktor; Bo Wang; Eric Paquet; Julie Doyle (ICDIM, 2010)

Identifying and Preventing Data Leakage in Multi-relational Classification. - Hongyu Guo; Herna L. Viktor; Eric Paquet (ICDM Workshops, 2010)

Probability distributions from Riemannian geometry, generalized hybrid Monte Carlo sampling, and path integrals. - Eric Paquet; Herna L. Viktor (Three-Dimensional Imaging, Interaction, and Measurement, 2011)

Privacy leakage in multi-relational learning via unwanted classification models. - Hongyu Guo; Herna L. Viktor; Eric Paquet (CASCON, 2011)

To Aggregate or Not to Aggregate: That is the Question. - Eric Paquet; Herna L. Viktor; Hongyu Guo (KDIR, 2011)

Multimodal Representations, Indexing, Unexpectedness and Proteins. - Eric Paquet; Herna L. Viktor (IEA/AIE (1), 2011)

Privacy Disclosure and Preservation in Learning with Multi-Relational Databases. - Hongyu Guo; Herna L. Viktor; Eric Paquet (J. Comput. Sci. Eng., 2011)

Transductive Relational Classification in the Co-training Paradigm. - Michelangelo Ceci; Annalisa Appice; Herna L. Viktor; Donato Malerba; Eric Paquet; Hongyu Guo (MLDM, 2012)

Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation. - Eric Paquet; Herna Lydia Viktor; Hongyu Guo (NFMCP, 2012)

Aggregation and privacy in multi-relational databases. - Yasser Jafer; Herna L. Viktor; Eric Paquet (PST, 2012)

Who are our clients: consumer segmentation through explorative data mining. - Herna L. Viktor; Isis Peña; Eric Paquet (Int. J. Data Min. Model. Manag., 2012)

An isometry-invariant spectral approach for protein-protein docking. - Dela De Youngster; Eric Paquet; Herna L. Viktor; Emil M. Petriu (BIBE, 2013)

Isometrically Invariant Description of Deformable Objects Based on the Fractional Heat Equation. - Eric Paquet; Herna Lydia Viktor (CAIP (2), 2013)

Artificial neural networks for predicting 3D protein shapes from amino acid sequences. - Herna L. Viktor; Eric Paquet; Jing Zhao (IJCNN, 2013)

Reducing the size of databases for multirelational classification: a subgraph-based approach. - Hongyu Guo; Herna L. Viktor; Eric Paquet (J. Intell. Inf. Syst., 2013)

Physics-based measurements, reflective measurements and meta-measurements for nonrigid and deformable shapes with application to structural proteomics and macromolecular docking. - Eric Paquet; Dela De Youngster; Herna L. Viktor; Emil M. Petriu (CIVEMSA, 2014)

A Quantum Particle Swarm Optimization and Genetic Algorithm approach to the correspondence problem. - Hamid Hadavi; Herna L. Viktor; Eric Paquet (INISTA, 2014)

Graph Edit Distance Based on Triangle-Stars Decomposition for Deformable 3D Objects Recognition. - Kamel Madi; Eric Paquet; Hamida Seba; Hamamache Kheddouci (3DV, 2015)

SCUT: Multi-Class Imbalanced Data Classification using SMOTE and Cluster-based Undersampling. - Astha Agrawal; Herna L. Viktor; Eric Paquet (KDIR, 2015)

Intelligent Adaptive Ensembles for Data Stream Mining: A High Return on Investment Approach. - M. Kehinde Olorunnimbe; Herna L. Viktor; Eric Paquet (NFMCP, 2015)

A Framework for Classification in Data Streams Using Multi-strategy Learning. - Ali Pesaranghader; Herna L. Viktor; Eric Paquet (DS, 2016)

An Active Learning Approach for Ensemble-based Data Stream Mining. - Rabaa Alabdulrahman; Herna L. Viktor; Eric Paquet (KDIR, 2016)

Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams. - Sarah D'Ettorre; Herna L. Viktor; Eric Paquet (DS, 2017)

Exploring Mediatoil Imagery: A Content-based Approach. - Sahil Saroop; Herna L. Viktor; Patrick McCurdy; Eric Paquet (KDIR, 2017)

Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems. - Rabaa Alabdulrahman; Herna L. Viktor; Eric Paquet (KDIR, 2018)

HCC-Learn Framework for Hybrid Learning in Recommender Systems. - Rabaa Alabdulrahman; Herna L. Viktor; Eric Paquet (IC3K, 2018)

McDiarmid Drift Detection Methods for Evolving Data Streams. - Ali Pesaranghader; Herna L. Viktor; Eric Paquet (IJCNN, 2018)

Dynamic adaptation of online ensembles for drifting data streams. - M. Kehinde Olorunnimbe; Herna L. Viktor; Eric Paquet (J. Intell. Inf. Syst., 2018)

Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams. - Ali Pesaranghader; Herna L. Viktor; Eric Paquet (Mach. Learn., 2018)

New Graph Distance Based on Stable Marriage Formulation for Deformable 3D Objects Recognition. - Kamel Madi; Eric Paquet; Hamamache Kheddouci (AICCSA, 2019)

Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems. - Rabaa Alabdulrahman; Herna L. Viktor; Eric Paquet (KDIR, 2019)

Active Learning and Deep Learning for the Cold-Start Problem in Recommendation System: A Comparative Study. - Rabaa Alabdulrahman; Herna L. Viktor; Eric Paquet (IC3K, 2019)

New graph distance for deformable 3D objects recognition based on triangle-stars decomposition. - Kamel Madi; Eric Paquet; Hamamache Kheddouci (Pattern Recognit., 2019)

Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder - DeepBreath. - Farzan Soleymani; Eric Paquet (Expert Syst. Appl., 2020)

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 (IJCNN, 2021)

Online Semi-supervised Learning from Evolving Data Streams with Meta-features and Deep Reinforcement Learning. - Parsa Vafaie; Herna L. Viktor; Eric Paquet; Wojtek Michalowski (LOD, 2021)

Deep graph convolutional reinforcement learning for financial portfolio management - DeepPocket. - Farzan Soleymani; Eric Paquet (Expert Syst. Appl., 2021)

3D Deformable Protein Shapes Classification based on Triangles-Stars and Composite Deep Neural Networks. - Kamel Madi; Eric Paquet (AICCSA, 2022)

Adapting to Complexity: Deep Learnable Architecture for Protein-protein Interaction Predictions. - Junzheng Wu; Eric Paquet; Herna L. Viktor; Wojtek Michalowski (LOD (1), 2022)

Geometric Deep Learning for Protein-Protein Interaction Predictions. - Gabriel St-Pierre Lemieux; Eric Paquet; Herna L. Viktor; Wojtek Michalowski (IEEE Access, 2022)

Exact shape flattening by means of Weitzenböck geometry and teleparallel distance. - Eric Paquet; Herna L. Viktor; Gabriel St-Pierre Lemieux (Displays, 2022)

QuantumLeap: Hybrid quantum neural network for financial predictions. - Eric Paquet; Farzan Soleymani (Expert Syst. Appl., 2022)

ProVolOne - Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis. - Eric Paquet; Herna L. Viktor; Wojtek Michalowski; Gabriel St-Pierre Lemieux (LOD (1), 2023)

Deformable Protein Shape Classification Based on Deep Learning, and the Fractional Fokker-Planck and Kähler-Dirac Equations. - Eric Paquet; Herna L. Viktor; Kamel Madi; Junzheng Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Protein Sequence Generation Using Denoising Probabilistic Diffusion Model. - Jean-Luc Blais-Amyot; Farzan Soleymani; Eric Paquet; Herna Lydia Viktor (LOD (1), 2024)

Calo4pQVAE: Quantum-Assisted 4-Partite VAE Surrogate for High Energy Particle-Calorimeter Interactions. - Sebastian Gonzalez; Hao Jia; Javier Quetzalcóatl Toledo-Marín; Sehmimul Hoque; Abhishek Abhishek; Ian Lu; Deniz Sogutlu; Sören Anderson; Colin Gay; Eric Paquet; Roger G. Melko; Geoffrey C. Fox; et al. (QCE, 2024)

Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions. - Javier Quetzalcóatl Toledo-Marín; Sebastian Gonzalez; Hao Jia; Ian Lu; Deniz Sogutlu; Abhishek Abhishek; Colin Gay; Eric Paquet; Roger G. Melko; Geoffrey C. Fox; Maximilian Swiatlowski; Wojciech Fedorko (CoRR, 2024)

Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions. - Ian Lu; Hao Jia; Sebastian Gonzalez; Deniz Sogutlu; Javier Quetzalcóatl Toledo-Marín; Sehmimul Hoque; Abhishek Abhishek; Colin Gay; Roger G. Melko; Eric Paquet; Geoffrey C. Fox; Maximilian Swiatlowski; et al. (CoRR, 2024)