Herna L. Viktor
Orcid: 0000-0003-1914-5077Affiliations:
- University of Ottawa, School of Electrical Engineering and Computer Science, ON, Canada
- University of Pretoria, Department of Informatics, South Africa (former)
- Stellenbosch University, South Africa (PhD 1999)
According to our database1,
Herna L. Viktor
authored at least 110 papers
between 1995 and 2023.
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Bibliography
2023
Appl. Intell., November, 2023
Deep learning in the stock market - a systematic survey of practice, backtesting, and applications.
Artif. Intell. Rev., March, 2023
Deformable Protein Shape Classification Based on Deep Learning, and the Fractional Fokker-Planck and Kähler-Dirac Equations.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Measuring Improvement of F<sub>1</sub>-Scores in Detection of Self-Admitted Technical Debt.
CoRR, 2023
Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods.
IEEE Access, 2023
Proceedings of the 2023 ACM/IEEE International Conference on Technical Debt (TechDebt), 2023
ProVolOne - Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
2022
Displays, 2022
IEEE Access, 2022
Adapting to Complexity: Deep Learnable Architecture for Protein-protein Interaction Predictions.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
Similarity Embedded Temporal Transformers: Enhancing Stock Predictions with Historically Similar Trends.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
2021
Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning.
Expert Syst. Appl., 2021
Online Semi-supervised Learning from Evolving Data Streams with Meta-features and Deep Reinforcement Learning.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021
Paying Attention: Using a Siamese Pyramid Network for the Prediction of Protein-Protein Interactions with Folding and Self-Binding Primary Sequences.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Foundations and Practice of Security - 14th International Symposium, 2021
Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations.
Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021
2020
Multi-class imbalanced semi-supervised learning from streams through online ensembles.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Personalised Recommendation Systems and the Impact of COVID-19: Perspectives, Opportunities and Challenges.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020
2019
Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Active Learning and Deep Learning for the Cold-Start Problem in Recommendation System: A Comparative Study.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2019
Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019
2018
Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams.
Mach. Learn., 2018
J. Intell. Inf. Syst., 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2018
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018
Proceedings of the 2018 IEEE International Congress on Big Data, 2018
2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
2016
Trans. Large Scale Data Knowl. Centered Syst., 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016
Proceedings of the Discovery Science - 19th International Conference, 2016
2015
Intelligent Adaptive Ensembles for Data Stream Mining: A High Return on Investment Approach.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
SCUT: Multi-Class Imbalanced Data Classification using SMOTE and Cluster-based Undersampling.
Proceedings of the KDIR 2015, 2015
Proceedings of 25th Annual International Conference on Computer Science and Software Engineering, 2015
2014
Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014
A Quantum Particle Swarm Optimization and Genetic Algorithm approach to the correspondence problem.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014
Proceedings of the Data Warehousing and Knowledge Discovery, 2014
Physics-based measurements, reflective measurements and meta-measurements for nonrigid and deformable shapes with application to structural proteomics and macromolecular docking.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2014
2013
Reducing the size of databases for multirelational classification: a subgraph-based approach.
J. Intell. Inf. Syst., 2013
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), 2013
Artificial neural networks for predicting 3D protein shapes from amino acid sequences.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
A Personalized Location Aware Multi-Criteria Recommender System Based on Context-Aware User Preference Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013
Isometrically Invariant Description of Deformable Objects Based on the Fractional Heat Equation.
Proceedings of the Computer Analysis of Images and Patterns, 2013
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013
2012
Int. J. Data Min. Model. Manag., 2012
Proceedings of the Tenth Annual International Conference on Privacy, Security and Trust, 2012
Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
2011
J. Comput. Sci. Eng., 2011
Proceedings of the Modern Approaches in Applied Intelligence, 2011
To Aggregate or Not to Aggregate: That is the Question.
Proceedings of the KDIR 2011, 2011
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2011
A Comparative Evaluation of Proximity Measures for Spectral Clustering.
Proceedings of the KDIR 2011, 2011
Proceedings of the Center for Advanced Studies on Collaborative Research, 2011
Probability distributions from Riemannian geometry, generalized hybrid Monte Carlo sampling, and path integrals.
Proceedings of the Three-Dimensional Imaging, 2011
2010
Proceedings of the ICDMW 2010, 2010
Proceedings of the Fifth IEEE International Conference on Digital Information Management, 2010
Index spaces for 3D retrieval: toward a better understanding of their geometry and distribution.
Proceedings of the Three-Dimensional Image Processing (3DIP) and Applications, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Int. J. Digit. Libr., 2009
Explorative Data Mining for the Sizing of Population Groups.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009
Finding Protein Family Similarities in Real Time through Multiple 3D and 2D Representations, Indexing and Exhaustive Searching.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009
Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009
2008
Capri/MR: exploring protein databases from a structural and physicochemical point of view.
Proc. VLDB Endow., 2008
Proceedings of the Third IEEE International Conference on Digital Information Management (ICDIM), 2008
2007
Adjustment of Virtual Mannequins Through Anthropometric Measurements, Cluster Analysis, and Content-Based Retrieval of 3-D Body Scans.
IEEE Trans. Instrum. Meas., 2007
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007
Proceedings of the Second IEEE International Conference on Digital Information Management (ICDIM), 2007
2006
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Ann. des Télécommunications, 2005
2004
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach.
SIGKDD Explor., 2004
Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples.
Proceedings of the Structural, 2004
Boosting with Data Generation: Improving the Classification of Hard to Learn Examples.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004
2003
Proceedings of the 4th International Symposium on Virtual Reality, 2003
2002
The Virtual Boutique: a Synergic Approach to Virtualization, Content-based Management of 3D Information, 3D Data Mining an Virtual Reality for E-commerce.
Proceedings of the 1st International Symposium on 3D Data Processing Visualization and Transmission (3DPVT 2002), 2002
2000
Int. J. Comput. Syst. Signals, 2000
Dynamic knowledge-base construction through knowledge discovery.
Proceedings of the Challenges of Information Technology Management in the 21st Century, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000
Proceedings of the 8th European Conference on Information Systems, 2000
1999
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
Proceedings of the 32nd Annual Hawaii International Conference on System Sciences (HICSS-32), 1999
1998
1997
Learning by Co-operation: Combining Multiple Computationally Intelligent Programs into a Computational Network.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997
1995
Proceedings of the From Natural to Artificial Neural Computation, 1995
Reduction of symbolic rules from artificial neural networks using sensitivity analysis.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995