Eric Paquet

Refereed Journals

    2019

1. K. Madi, E. Paquet and H. Kheddoucia, “New Graph Edit Distance for Deformable 3D Objects Recognition based on Triangle-Stars Decomposition”, Journal of Pattern Recognition, 90, 297-307 (2019).

    2018

1. E. Paquet and H. L. Viktor, “Computational Methods for Ab Initio Molecular Dynamics – A Review”, Advances in Chemistry, ID 9839641, 14 pp. (2018).
2. A. Pesaranghader, H. L. Viktor and E. Paquet, “Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams”, Machine Learning, 107 (260), 1-33 (2018).

    2017

1. M. K. Olorunnimbe, H. L. Viktor and E. Paquet, “Dynamic Adaptation of Online Ensembles for Drifting Data Streams”, Journal of Intelligent Information Systems, 50 (2), 291-313 (2017).
2. A. P. Manceur, W. Zou, A. Marcil, E. Paquet, C. Gadoury, B. Jaentschke, X. Li, E. Petiot, Y. Durocher, J. Baardsnes, M. Rosa-Calatrava, S. Ansorge and A. A. Kamen, “Generation of Monoclonal Pan-Hemagglutinin Antibodies against Multiple Strains of Influenza”, PLoS ONE, 12 (6): e0118314, 18 pp. (2017).
3. E. Paquet, J.-A. Beraldin, H. L. Viktor and B. Benedetti, “The application of content-based indexing and retrieval of digital pictures and range images to the 3d virtual reconstruction of complex sites and architectures”, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 8 pp. (2017).

    2015

1. E. Paquet and H. L. Viktor, “Isometrically invariant and allosterically aware description of deformable macromolecular surfaces:  application to the viral neuraminidase”, Vaccine, 33 (48), 6930-7 (2015).
2. E. Paquet and H. L. Viktor, “Molecular Dynamics, Monte Carlo Simulations and Langevin Dynamics: a Computational Review”, Invited Paper, Special Issue on Influenza Vaccines and Immunotherapeutics, BioMed Research International, ID 183918, 18 pp. (2015).

    2013

1. E. Paquet, H. L. Viktor and H Guo, “Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation”, New Frontiers in Mining Complex Patterns, Lecture Notes in Computer Science, Vol. 7765, Springer Verlag, 49-63 (2013).
2. E. Paquet and H. L. Viktor, “Macromolecular Structure Comparison and Docking: an Algorithmic Review”, Special Issue on Molecular Modeling and QSAR Studies for Drug Design, Current Pharmaceutical Design 19 (12), 2183-2193 (2013).
3. H. Guo, H. L. Viktor and E. Paquet, “Reducing the Size of Databases for Multirelational Classification: a Subgraph-based Approach”, Springer Journal of Intelligent Information Systems, 40 (2), 349-374 (2013).

Publications in Refereed Conference Proceedings

    2018

1. A. Pesaranghader, H. L. Viktor and E. Paquet, “McDiarmid Drift Detection Methods for Evolving Data Streams”, Accepted in the IEEE World Congress on Computational Intelligence (WCCI), International Joint Conference on Neural Networks (IJCNN), 8-13 July, Rio de Janeiro, Brazil, 1-9 (2018).
2. R. Alabdulrahman, H. L. Viktor and E. Paquet, “Beyond kNN: Combining Cluster Analysis and Classification for Recommender Systems”, Accepted in the 10^th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 18-20 September, Seville, Spain, 10 pp. (2018).

    2017

1. S. Saroop, H. L. Viktor and E. Paquet, “Exploring MediaToil Imagery: A Content-based Approach”, 9^th International Conference on Knowledge Discovery and Information Retrieval (KDIR), 1-3 November, Funchal, Madeira – Portugal, 9 pp. (2017).
2. S. D'Ettorre, H. L. Viktor and E. Paquet, “Context-based abrupt change detection and adaptation for categorical data streams”, 20th International Conference on Discovery Science (DS), 15-17 October, Kyoto, Japan, 3-17 (2017).

    2016

1. M. K. Olorunnimbe, H. L. Viktor and E. Paquet, “Intelligent Adaptive Ensembles for Data Stream Mining: a High Return on Investment Approach”, PKDD-ECML 4th International Workshop on New Frontiers in Mining Complex Data, Lecture Notes in Computer Science, Springer, 7 September, Porto, Portugal, 12 pp. (2016).
2. A. Pesaranghader, H. L. Viktor, E. Paquet, “A Framework for Classification in Data Streams using Multi-strategy Learning ”, Discovery Science, 19-21 October, Bari, Italy, 15 pp. (2016).
3. R. Alabdulrahman, H. L. Viktor and E. Paquet, “An Active Learning Approach for Ensemble-based Data Stream Mining”,  8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KDIR), 9-11 November, Porto, Portugal, 8 pp. (2016).

    2015

1. K. Madi, E. Paquet, H. Seba and H. Kheddouci, “Graph Edit Distance based on Triangle-Stars Decomposition for Deformable 3D Objects Recognition”, International Conference on 3D Vision (3DV), 19-22 October, Lyon, France, 55-63 (2015).
2. M. K. Olorunnimbe, H. L. Viktor and E. Paquet, “Intelligent Adaptation of Ensemble Size in Data Streams Using Online Learning”, PKDD-ECML 4th International Workshop on New Frontiers in Mining Complex Data, 7 September, Porto, Portugal, 12 pp. (2015).
3. A. Agrawal, H. L. Viktor and E. Paquet, “w”, 7th International Joint Conference on Knowledge Discover (KDIR), 12-14 November, Lisbon, Portugal, 226-234 (2015).

    2014

1. E. Paquet, D. De Youngster,  H. L. Viktor and E. Petriu, “Physics-based Measurements, Reflective Measurements and Meta-Measurements for Nonrigid and Deformable Shapes - With Application to Structural Proteomics and Macromolecular Docking”, IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 5-7 May, Ottawa, Canada, 112-117, 978-1-4799-2614-5/14/  (2014).
2. Hamid Hadavi, Herna L. Viktor and Eric Paquet, “A Quantum Particle Swarm Optimization and Genetic Algorithm Approach to the Correspondence Problem”. IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 23-25 June, Alberobello, Italy, 226-233, 78-1-4799-3020-3/14/ (2014).
3. E. Paquet and H. L. Viktor, “Toward a better description of deformable macromolecular surfaces: isometrically invariant and allosterically aware shape signature based on the fractional Fokker-Planck equation”, 4th Computational Vaccinology Workshop at ISV, 25 October, Philadelphia, USA, 7 pp. (2014).

    2013

1. H. L. Viktor, E. Paquet and Paquet and J. Zhao, “Artificial Neural Networks for Predicting 3D Protein Structures from Amino Acid Sequences “, International Joint Conference on Neural Networks (IJCNN), 4-9 August, Dallas, TX, USA, 1790-1797 (2013).
2. E. Paquet and H. L. Viktor,” Isometrically Invariant Description of Deformable Objects based on the Fractional Heat Equation”, International Conference on Computer Analysis of Images and Patterns (CAIP), Lecture Notes in Computer Science, Vol. 8048, Springer, 27-29 August, York, UK, 135-143 (2013).
3. D. De Youngster, E. Paquet, H. L. Viktor and E. Petriu, “An Isometry-Invariant Spectral Approach for Protein-Protein Docking”, IEEE 13th International Conference on BioInformatics and BioEngineering (BIBE), 10-13 November, Chania, Greece, 1-6, 978-1-4799-3163-7/13/ (2013).

Chapters in Books

    2015

1. E. Paquet, H. L. Viktor and H. Guo,  “Data Mining in Finance: Current Advances and Future Challenges”, in Big Data Analysis: New Algorithms for a New Society, Invited Chapter, Nathalie Japkowicz and Jerzy Stefa Editors, Springer, Heidelberg, ISBN 978-3-319-26987-0,  159-175 (2015).

    2014

1. E. Paquet and H. L. Viktor, “Segmentation and classification of anthropometric data for the apparel industry”, in Anthropometry, apparel sizing and design, Invited Chapter, D. Gupta and N. Zakaria Editors, Woodhead Publishing, London, ISBN 978-0-85709-681-4, 123-140 (2014).