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ORCIDEric Paquet
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2020 – today
- 2024
[c48]Sebastian Gonzalez, Hao Jia, J. Quetzalcóatl Toledo-Marín, Sehmimul Hoque, Abhishek Abhishek, Ian Lu, Deniz Sogutlu, Sören Anderson, Colin Gay, Eric Paquet, Roger G. Melko, Geoffrey C. Fox, Maximilian Swiatlowski, Wojciech Fedorko:
Calo4pQVAE: Quantum-Assisted 4-Partite VAE Surrogate for High Energy Particle-Calorimeter Interactions. QCE 2024: 109-113- [i5]J. 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:
Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions. CoRR abs/2410.22870 (2024) - [i4]Ian Lu, Hao Jia, Sebastian Gonzalez, Deniz Sogutlu, J. Quetzalcóatl Toledo-Marín, Sehmimul Hoque, Abhishek Abhishek, Colin Gay, Roger G. Melko, Eric Paquet, Geoffrey C. Fox, Maximilian Swiatlowski, Wojciech Fedorko:
Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions. CoRR abs/2412.04677 (2024) - 2023
- [j22]Eric Paquet
, Herna L. Viktor, Kamel Madi, Junzheng Wu:
Deformable Protein Shape Classification Based on Deep Learning, and the Fractional Fokker-Planck and Kähler-Dirac Equations. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 391-407 (2023) - [c47]Eric Paquet, Herna L. Viktor, Wojtek Michalowski, Gabriel St-Pierre Lemieux:
ProVolOne - Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis. LOD (1) 2023: 274-287 - 2022
- [j21]Gabriel St-Pierre Lemieux, Eric Paquet, Herna L. Viktor, Wojtek Michalowski:
Geometric Deep Learning for Protein-Protein Interaction Predictions. IEEE Access 10: 90045-90055 (2022) - [j20]Eric Paquet, Herna L. Viktor, Gabriel St-Pierre Lemieux:
Exact shape flattening by means of Weitzenböck geometry and teleparallel distance. Displays 75: 102323 (2022) - [j19]Eric Paquet, Farzan Soleymani:
QuantumLeap: Hybrid quantum neural network for financial predictions. Expert Syst. Appl. 195: 116583 (2022) - [c46]Kamel Madi, Eric Paquet:
3D Deformable Protein Shapes Classification based on Triangles-Stars and Composite Deep Neural Networks. AICCSA 2022: 1-8 - [c45]Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski:
Adapting to Complexity: Deep Learnable Architecture for Protein-protein Interaction Predictions. LOD (1) 2022: 528-542 - 2021
- [j18]Farzan Soleymani, Eric Paquet:
Deep graph convolutional reinforcement learning for financial portfolio management - DeepPocket. Expert Syst. Appl. 182: 115127 (2021) - [c44]Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski:
Paying Attention: Using a Siamese Pyramid Network for the Prediction of Protein-Protein Interactions with Folding and Self-Binding Primary Sequences. IJCNN 2021: 1-8 - [c43]Parsa Vafaie, Herna L. Viktor, Eric Paquet, Wojtek Michalowski:
Online Semi-supervised Learning from Evolving Data Streams with Meta-features and Deep Reinforcement Learning. LOD 2021: 70-85 - [i3]Farzan Soleymani, Eric Paquet:
Deep Graph Convolutional Reinforcement Learning for Financial Portfolio Management - DeepPocket. CoRR abs/2105.08664 (2021) - 2020
- [j17]Farzan Soleymani, Eric Paquet:
Financial portfolio optimization with online deep reinforcement learning and restricted stacked autoencoder - DeepBreath. Expert Syst. Appl. 156: 113456 (2020)
2010 – 2019
- 2019
- [j16]Kamel Madi, Eric Paquet, Hamamache Kheddouci:
New graph distance for deformable 3D objects recognition based on triangle-stars decomposition. Pattern Recognit. 90: 297-307 (2019) - [c42]Kamel Madi, Eric Paquet, Hamamache Kheddouci:
New Graph Distance Based on Stable Marriage Formulation for Deformable 3D Objects Recognition. AICCSA 2019: 1-8 - [c41]Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet:
Active Learning and Deep Learning for the Cold-Start Problem in Recommendation System: A Comparative Study. IC3K 2019: 24-53 - [c40]Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet:
Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems. KDIR 2019: 113-123 - 2018
- [j15]M. Kehinde Olorunnimbe, Herna L. Viktor, Eric Paquet:
Dynamic adaptation of online ensembles for drifting data streams. J. Intell. Inf. Syst. 50(2): 291-313 (2018) - [j14]Ali Pesaranghader, Herna L. Viktor, Eric Paquet:
Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams. Mach. Learn. 107(11): 1711-1743 (2018) - [c39]Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet:
HCC-Learn Framework for Hybrid Learning in Recommender Systems. IC3K 2018: 25-49 - [c38]Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet:
Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems. KDIR 2018: 80-89 - [c37]Ali Pesaranghader, Herna L. Viktor, Eric Paquet:
McDiarmid Drift Detection Methods for Evolving Data Streams. IJCNN 2018: 1-9 - 2017
- [c36]Sarah D'Ettorre, Herna L. Viktor, Eric Paquet:
Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams. DS 2017: 3-17 - [c35]Sahil Saroop, Herna L. Viktor, Patrick McCurdy, Eric Paquet:
Exploring Mediatoil Imagery: A Content-based Approach. KDIR 2017: 246-254 - [i2]Ali Pesaranghader, Herna L. Viktor, Eric Paquet:
Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams. CoRR abs/1709.02457 (2017) - [i1]Ali Pesaranghader, Herna L. Viktor, Eric Paquet:
McDiarmid Drift Detection Methods for Evolving Data Streams. CoRR abs/1710.02030 (2017) - 2016
- [c34]Ali Pesaranghader, Herna L. Viktor, Eric Paquet:
A Framework for Classification in Data Streams Using Multi-strategy Learning. DS 2016: 341-355 - [c33]Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet:
An Active Learning Approach for Ensemble-based Data Stream Mining. KDIR 2016: 275-282 - 2015
- [c32]Kamel Madi, Eric Paquet, Hamida Seba, Hamamache Kheddouci:
Graph Edit Distance Based on Triangle-Stars Decomposition for Deformable 3D Objects Recognition. 3DV 2015: 55-63 - [c31]Astha Agrawal, Herna L. Viktor, Eric Paquet:
SCUT: Multi-Class Imbalanced Data Classification using SMOTE and Cluster-based Undersampling. KDIR 2015: 226-234 - [c30]M. Kehinde Olorunnimbe, Herna L. Viktor, Eric Paquet:
Intelligent Adaptive Ensembles for Data Stream Mining: A High Return on Investment Approach. NFMCP 2015: 61-75 - 2014
- [c29]Eric Paquet, Dela De Youngster, Herna L. Viktor, Emil M. Petriu:
Physics-based measurements, reflective measurements and meta-measurements for nonrigid and deformable shapes with application to structural proteomics and macromolecular docking. CIVEMSA 2014: 112-117 - [c28]Hamid Hadavi, Herna L. Viktor, Eric Paquet:
A Quantum Particle Swarm Optimization and Genetic Algorithm approach to the correspondence problem. INISTA 2014: 226-233 - 2013
- [j13]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Reducing the size of databases for multirelational classification: a subgraph-based approach. J. Intell. Inf. Syst. 40(2): 349-374 (2013) - [c27]Dela De Youngster, Eric Paquet, Herna L. Viktor, Emil M. Petriu:
An isometry-invariant spectral approach for protein-protein docking. BIBE 2013: 1-6 - [c26]Eric Paquet, Herna Lydia Viktor:
Isometrically Invariant Description of Deformable Objects Based on the Fractional Heat Equation. CAIP (2) 2013: 135-143 - [c25]Herna L. Viktor, Eric Paquet, Jing Zhao:
Artificial neural networks for predicting 3D protein shapes from amino acid sequences. IJCNN 2013: 1-8 - 2012
- [j12]Herna L. Viktor, Isis Peña, Eric Paquet:
Who are our clients: consumer segmentation through explorative data mining. Int. J. Data Min. Model. Manag. 4(3): 286-308 (2012) - [c24]Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo:
Transductive Relational Classification in the Co-training Paradigm. MLDM 2012: 11-25 - [c23]Eric Paquet, Herna Lydia Viktor, Hongyu Guo:
Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation. NFMCP 2012: 49-63 - [c22]Yasser Jafer, Herna L. Viktor, Eric Paquet:
Aggregation and privacy in multi-relational databases. PST 2012: 67-74 - 2011
- [j11]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Privacy Disclosure and Preservation in Learning with Multi-Relational Databases. J. Comput. Sci. Eng. 5(3): 183-196 (2011) - [c21]Eric Paquet, Herna L. Viktor:
Probability distributions from Riemannian geometry, generalized hybrid Monte Carlo sampling, and path integrals. Three-Dimensional Imaging, Interaction, and Measurement 2011: 78640X - [c20]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Privacy leakage in multi-relational learning via unwanted classification models. CASCON 2011: 45-59 - [c19]Eric Paquet, Herna L. Viktor, Hongyu Guo:
To Aggregate or Not to Aggregate: That is the Question. KDIR 2011: 354-357 - [c18]Eric Paquet, Herna L. Viktor:
Multimodal Representations, Indexing, Unexpectedness and Proteins. IEA/AIE (1) 2011: 85-94 - 2010
- [c17]Eric Paquet, Herna L. Viktor:
Index spaces for 3D retrieval: toward a better understanding of their geometry and distribution. Three-Dimensional Image Processing (3DIP) and Applications 2010: 75260J - [c16]Herna L. Viktor, Bo Wang, Eric Paquet, Julie Doyle:
Preserving object-relational databases for the next generations. ICDIM 2010: 11-18 - [c15]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Identifying and Preventing Data Leakage in Multi-relational Classification. ICDM Workshops 2010: 458-465
2000 – 2009
- 2009
- [j10]Julie Doyle, Herna L. Viktor, Eric Paquet:
Long-term digital preservation: preserving authenticity and usability of 3-D data. Int. J. Digit. Libr. 10(1): 33-47 (2009) - [c14]Isis Peña, Herna L. Viktor, Eric Paquet:
Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures. DaWaK 2009: 216-228 - [c13]Eric Paquet, Herna Lydia Viktor:
Finding Protein Family Similarities in Real Time through Multiple 3D and 2D Representations, Indexing and Exhaustive Searching. KDIR 2009: 127-133 - [c12]Isis Peña, Herna Lydia Viktor, Eric Paquet:
Explorative Data Mining for the Sizing of Population Groups. KDIR 2009: 152-159 - [r1]Herna L. Viktor, Eric Paquet:
Visual Data Mining from Visualization to Visual Information Mining. Encyclopedia of Data Warehousing and Mining 2009: 2056-2061 - 2008
- [j9]Eric Paquet, Herna L. Viktor:
Capri/MR: exploring protein databases from a structural and physicochemical point of view. Proc. VLDB Endow. 1(2): 1504-1507 (2008) - [c11]Julie Doyle, Herna L. Viktor, Eric Paquet:
Preservation metadata - a framework for 3D data based on the Semantic Web. ICDIM 2008: 925-927 - 2007
- [j8]Eric Paquet:
Representation of 3D and 4D Objects Based on an Associated Curved Space and a General Coordinate Transformation Invariant Description. EURASIP J. Adv. Signal Process. 2007 (2007) - [j7]Eric Paquet, Herna L. Viktor:
Adjustment of Virtual Mannequins Through Anthropometric Measurements, Cluster Analysis, and Content-Based Retrieval of 3-D Body Scans. IEEE Trans. Instrum. Meas. 56(5): 1924-1929 (2007) - [c10]Julie Doyle, Herna L. Viktor, Eric Paquet:
Long term digital preservation - An end user's perspective. ICDIM 2007: 146-151 - [c9]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Pruning Relations for Substructure Discovery of Multi-relational Databases. PKDD 2007: 462-470 - 2006
- [j6]Eric Paquet, Marc Rioux:
Invariant Robust 3-D Face Recognition based on the Hilbert Transform in Spectral Space. J. Multim. 1(1): 9-15 (2006) - [c8]Herna L. Viktor, Eric Paquet, Hongyu Guo:
Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification. PKDD 2006: 395-406 - 2005
- [j5]Eric Paquet, Herna L. Viktor:
On the application of 3D technologies to the framework of cultural heritage. Ann. des Télécommunications 60(11-12): 1379-1393 (2005) - 2003
- [c7]Sabry F. El-Hakim, Lorenzo Gonzo, Michel Picard, Stefano Girardi, Andrea Simoni, Eric Paquet, Herna L. Viktor, Claus Brenner:
Visualisation of Highly Textured Surfaces. VAST 2003: 203-212 - 2002
- [c6]Eric Paquet, Herna L. Viktor, Shawn Peter:
The Virtual Boutique: a Synergic Approach to Virtualization, Content-based Management of 3D Information, 3D Data Mining an Virtual Reality for E-commerce. 3DPVT 2002: 268-276 - 2000
- [j4]Eric Paquet, Kathleen M. Robinette, Marc Rioux:
Management of three-dimensional and anthropometric databases: Alexandria and Cleopatra. J. Electronic Imaging 9(4): 421-431 (2000) - [j3]Eric Paquet, Marc Rioux, Anil M. Murching, Thumpudi Naveen, Ali J. Tabatabai:
Description of shape information for 2-D and 3-D objects. Signal Process. Image Commun. 16(1-2): 103-122 (2000)
1990 – 1999
- 1999
- [j2]Eric Paquet, Marc Rioux:
Nefertiti: a query by content system for three-dimensional model and image databases management. Image Vis. Comput. 17(2): 157-166 (1999) - [c5]Eric Paquet, Marc Rioux:
The MPEG-7 Standard and the Content-Based Management of Three-Dimensional Data: A Case Study. ICMCS, Vol. 1 1999: 375-380 - [c4]Eric Paquet, Marc Rioux:
Crawling, Indexing and Retrieval of Three-Dimensional Data on the Web in the Framework of MPEG-7. VISUAL 1999: 179-186 - 1998
- [c3]Eric Paquet, Marc Rioux:
A Content-Based Search Engine for VRML Databases. CVPR 1998: 541-546 - [c2]Eric Paquet, Marc Rioux:
Content-Based Access of VRML Libraries. Multimedia Information Analysis and Retrieval 1998: 20-32 - 1997
- [j1]Eric Paquet:
Three-dimensional Polychromatic Objects Classification Based on Amplitude Modulation and Amplitude-shift Keying. Real Time Imaging 3(6): 391-398 (1997) - [c1]Eric Paquet, Marc Rioux:
Nefertiti: A Query by Content Software for Three-Dimensional Models Databases Management. 3DIM 1997: 345-352
Coauthor Index
Herna L. Viktor
aka: Herna Lydia Viktor
aka: Herna Lydia Viktor
[j22] [c47] [j21] [j20] [c45] [c44] [c43] [c41] [c40] [j15] [j14] [c39] [c38] [c37] [c36] [c35] [i2] [i1] [c34] [c33] [c31] [c30] [c29] [c28] [j13] [c27] [c26] [c25] [j12] [c24] [c23] [c22] [j11] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j10] [c14] [c13] [c12] [r1] [j9] [c11] [j7] [c10] [c9] [c8] [j5] [c7] [c6]
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