H. Viktor

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Fast Hoeffding Drift Detection Method for Evolving Data Streams

Herna L. Viktor, Ali Pesaranghader, Ali Pesaranghader, 2016, ECML/PKDD.

Segmentation and classification of anthropometric data for the apparel industry

E. Paquet, H. Viktor, 2014 .

Mining Imbalanced Classes in Multirelational Classification

Hongyu Guo, H. Viktor, 2007 .

Physics-based measurements, reflective measurements and meta-measurements for nonrigid and deformable shapes with application to structural proteomics and macromolecular docking

Dela De Youngster, E. Petriu, E. Paquet, 2014, 2014 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).

LONG-TERM PRESERVATION OF 3-D CULTURAL HERITAGE DATA RELATED TO ARCHITECTURAL SITES

E. Paquet, H. Viktor, 2005 .

Creating High Quality e-Data Warehouses for e-Business

H. Viktor, 2002 .

An Exhaustive Shape-Based Approach for Proteins' Secondary, Tertiary and Quaternary Structures Indexing, Retrieval and Docking

E. Paquet, H. Viktor, 2012 .

COVID-19 malicious domain names classification

H. Viktor, Paula Branco, Guy-Vincent Jourdan, 2022, Expert Systems with Applications.

Addressing the docking problem: finding similar 3-D protein envelopes for computer-aided drug design.

E. Paquet, H. Viktor, 2010, Advances in experimental medicine and biology.

Computational Methods for Ab Initio Molecular Dynamics

E. Paquet, H. Viktor, 2018 .

Deep learning in the stock market—a systematic survey of practice, backtesting, and applications

H. Viktor, Kenniy Olorunnimbe, 2022, Artificial Intelligence Review.

for Substructure Discovery of Multi-relational Databases

E. Paquet, Hongyu Guo, H. Viktor, 2019 .

Geometric Deep Learning for Protein–Protein Interaction Predictions

W. Michalowski, E. Paquet, H. Viktor, 2022, IEEE Access.

Protein–protein interaction prediction with deep learning: A comprehensive review

W. Michalowski, H. Viktor, D. Spinello, 2022, Computational and structural biotechnology journal.

Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

N. Japkowicz, H. Viktor, Evan Crothers, 2022, ArXiv.

Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers

N. Japkowicz, H. Viktor, Paula Branco, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

N. Japkowicz, H. Viktor, Evan Crothers, 2022, ArXiv.

Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams

E. Paquet, Ali Pesaranghader, H. Viktor, 2018, Machine Learning.

Exact shape flattening by means of Weitzenböck geometry and teleparallel distance

E. Paquet, H. Viktor, G. P. Lemieux, 2022, Displays.

In BLOOM: Creativity and Affinity in Artificial Lyrics and Art

N. Japkowicz, H. Viktor, Evan Crothers, 2023, ArXiv.

Exploring Mediatoil Imagery: A Content-based Approach

Herna L. Viktor, Eric Paquet, Sahil Saroop, 2017, KDIR.

Boosting with Data Generation: Improving the Classification of Hard to Learn Examples

Herna L. Viktor, Hongyu Guo, Hongyu Guo, 2004, IEA/AIE.

Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach

Herna L. Viktor, Hongyu Guo, Hongyu Guo, 2004, SKDD.

Molecular Dynamics, Monte Carlo Simulations, and Langevin Dynamics: A Computational Review

E. Paquet, H. Viktor, 2015, BioMed research international.

Intelligent Adaptive Ensembles for Data Stream Mining: A High Return on Investment Approach

Herna L. Viktor, Eric Paquet, M. Kehinde Olorunnimbe, 2015, NFMCP.

An Exploratory Study of Oral and Dental Health in Canada

Andrei Belcin, Sean Floyd, Areej Asiri, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Learning from Skewed Class Multi-relational Databases

Herna L. Viktor, Hongyu Guo, Hongyu Guo, 2008, Fundam. Informaticae.

Mining relational databases with multi-view learning

Hongyu Guo, Herna L. Viktor, Hongyu Guo, 2005, MRDM '05.

ProtInteract: A deep learning framework for predicting protein–protein interactions

W. Michalowski, H. Viktor, D. Spinello, 2023, Computational and structural biotechnology journal.

Personalised Recommendation Systems and the Impact of COVID-19: Perspectives, Opportunities and Challenges

H. Viktor, Rabaa Abdulrahman, 2020, KDIR.

Multi-label Classification of Anemia Patients

Nathalie Japkowicz, Herna Viktor, Colin Bellinger, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Paying Attention: Using a Siamese Pyramid Network for the Prediction of Protein-Protein Interactions with Folding and Self-Binding Primary Sequences

Herna L. Viktor, Wojtek Michalowski, Eric Paquet, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

McDiarmid Drift Detection Methods for Evolving Data Streams

Herna Viktor, Eric Paquet, Ali Pesaranghader, 2017, 2018 International Joint Conference on Neural Networks (IJCNN).

Isometrically invariant and allosterically aware description of deformable macromolecular surfaces: Application to the viral neuraminidase.

E. Paquet, H. Viktor, 2015, Vaccine.

Artificial neural networks for predicting 3D protein shapes from amino acid sequences

Herna L. Viktor, Jing Zhao, Eric Paquet, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Artificial neural networks for predicting 3D protein shapes from amino acid sequences

Jing Zhao, Eric Paquet, Herna L Viktor, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

N. Japkowicz, H. Viktor, Evan Crothers, 2022, ArXiv.

Clustering in the Presence of Concept Drift

Herna L. Viktor, João Gama, Nathalie Japkowicz, 2018, ECML/PKDD.

Use of Performance Metrics to Forecast Success in the National Hockey League

Diana Inkpen, Herna Viktor, Joshua Weissbock, 2013, MLSA@PKDD/ECML.

Combining data mining and human expertise for making decisions, sense and policies

Herna L. Viktor, Heidi Arndt, H. Viktor, 2000 .

Data mining in practice: from data to knowledge using a hybrid mining approach

Herna L. Viktor, Heidi Arndt, H. Viktor, 2000, Int. J. Comput. Syst. Signals.

Enhancing Government Decision Making Through Knowledge Discovery from Data

Herna L. Viktor, Mauritz Oberholzer, Heidi Arndt, 2000, ECIS.

Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

N. Japkowicz, H. Viktor, Evan Crothers, 2022, IEEE Access.

Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations

Nathalie Japkowicz, Evan Crothers, Herna Viktor, 2021, CSoNet.

Towards Ethical Content-Based Detection Of Online Influence Campaigns

Nathalie Japkowicz, Herna Viktor, Evan Crothers, 2019, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP).

Creating Informative Data Warehouses: Exploring Data and Information Quality through Data Mining

Herna L. Viktor, Wayne M. Motha, H. Viktor, 2002 .

Multirelational classification: a multiple view approach

Herna L. Viktor, Hongyu Guo, Hongyu Guo, 2008, Knowledge and Information Systems.

Aggregation and privacy in multi-relational databases

Herna L. Viktor, Eric Paquet, Yasser Jafer, 2012, 2012 Tenth Annual International Conference on Privacy, Security and Trust.

A Personalized Location Aware Multi-Criteria Recommender System Based on Context-Aware User Preference Models

Herna L. Viktor, Salvador Valencia Rodríguez, H. Viktor, 2013, AIAI.

Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams

Herna Viktor, Eric Paquet, Ali Pesaranghader, 2017, Machine Learning.

Data Mining in Finance: Current Advances and Future Challenges

Herna L. Viktor, Hongyu Guo, Eric Paquet, 2016 .

A Framework for Classification in Data Streams Using Multi-strategy Learning

Herna L. Viktor, Eric Paquet, Ali Pesaranghader, 2016, DS.

Instance-Based Integration of Multidimensional Data Models

Herna L. Viktor, Iluju Kiringa, Michael Mireku Kwakye, 2014 .

Contextual One-Class Classification in Data Streams pdf

Herna L. Viktor, Nathalie Japkowicz, Richard Hugh Moulton, 2019, ArXiv.

Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams

Herna L. Viktor, Eric Paquet, Sarah D'Ettorre, 2017, DS.

A data warehouse for policy making: a case study

Herna L. Viktor, J. F. Francois Weilbach, H. Viktor, 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

Visual Data Mining from Visualization to Visual Information Mining

Herna L. Viktor, Eric Paquet, E. Paquet, 2009, Encyclopedia of Data Warehousing and Mining.

Exploring Protein Architecture using 3D Shape-based Signatures

E. Paquet, E. Paquet, H. Viktor, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems

Eric Paquet, Herna Viktor, Rabaa Alabdulrahman, 2019, KDIR.

An Active Learning Approach for Ensemble-based Data Stream Mining

Herna Viktor, Eric Paquet, Rabaa Alabdulrahman, 2016, KDIR.

The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data

Herna L. Viktor, Nathalie Japkowicz, Daniel K. Antwi, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems

Herna Viktor, Eric Paquet, Rabaa Alabdulrahman, 2018, KDIR.

Deformable Protein Shape Classification Based on Deep Learning, and the Fractional Fokker–Planck and Kähler–Dirac Equations

E. Paquet, H. Viktor, K. Madi, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

COVID-19 malicious domain names classification

H. Viktor, Paula Branco, Guy-Vincent Jourdan, 2022, Expert systems with applications.

A systematic literature review of cyber-security data repositories and performance assessment metrics for semi-supervised learning

H. Viktor, Paula Branco, Guy-Vincent Jourdan, 2023, Discover data.

Evaluating Word Embedding Feature Extraction Techniques for Host-Based Intrusion Detection Systems

H. Viktor, Paula Branco, Guy-Vincent Jourdan, 2023, Discover data.

An isometry-invariant spectral approach for protein-protein docking

Herna L. Viktor, Emil M. Petriu, Eric Paquet, 2013, 13th IEEE International Conference on BioInformatics and BioEngineering.

Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning

Rabaa Alabdulrahman, Herna L. Viktor, H. Viktor, 2021, Expert Syst. Appl..

Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling

Stan Matwin, Parinaz Sobhani, Herna Viktor, 2014, NFMCP.

Improving the Competency of Classifiers through Data Generation

Herna L. Viktor, Iryna Skrypnik, H. Viktor, 2001 .

SCUT: Multi-class imbalanced data classification using SMOTE and cluster-based undersampling

Herna L. Viktor, Eric Paquet, Astha Agrawal, 2015, 2015 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K).

Transductive Relational Classification in the Co-training Paradigm

Herna L. Viktor, Michelangelo Ceci, Donato Malerba, 2012, MLDM.

Multi-view ANNs for Multi-relational Classification

Herna L. Viktor, Hongyu Guo, Hongyu Guo, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Prediction of Proteins ' Molecular Surfaces from their Corresponding Amino Acid Sequences

E. Paquet, H. Viktor, J. Zhao, 2012 .

DynaQ: online learning from imbalanced multi-class streams through dynamic sampling

H. Viktor, F. Sadeghi, P. Vafaie, 2023, Applied Intelligence.

Soft Voting Windowing Ensembles for Learning from Partially Labelled Streams

Herna L. Viktor, Sean L. A. Floyd, H. Viktor, 2019, NFMCP@PKDD/ECML.

HCC-Learn Framework for Hybrid Learning in Recommender Systems

Eric Paquet, Rabaa Alabdulrahman, Herna L. Viktor, 2018, IC3K.