Herna L. Viktor

120 papers A* 1B 15C 13Misc 1Journal 37Unranked 52
YearRankTypeTitle / Venue / Authors
2025 — conf
CUE-X: A Framework for the Automatic Evaluation of Clinical Usefulness of Explanations for the Multimorbidity Problem.
AIME (1)
Martin Michalowski, Szymon Wilk, Jenny M. Bauer, Marc Carrier, Herna L. Viktor, Wojtek Michalowski
2025 B conf
Protein structure generation using a variational autoencoder with Lévy noise and quantum graph transformer.
IJCNN
Eric Paquet, Herna L. Viktor, Wojtek Michalowski
2025 — conf
Towards Interpretable Fairness-Aware Online Machine Learning Through Local Surrogate Models.
IC3K (KDIR)
Farnaz Sadeghi, Capri Paquet, Herna L. Viktor
2025 J jnl
X-HEART: eXplainable heterogeneous log anomaly detection using robust transformers.
Knowl. Inf. Syst.
Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
2024 C conf
Enhancing Temporal Transformers for Financial Time Series via Local Surrogate Interpretability.
ISMIS
Kenniy Olorunnimbe, Herna L. Viktor
2024 J jnl
Ensemble of temporal Transformers for financial time series.
J. Intell. Inf. Syst.
Kenniy Olorunnimbe, Herna L. Viktor
2024 J jnl
Knowledge transfer in lifelong machine learning: a systematic literature review.
Artif. Intell. Rev.
Pouya Khodaee, Herna L. Viktor, Wojtek Michalowski
2024 J jnl
Multi-Label Lifelong Machine Learning: A Scoping Review of Algorithms, Techniques, and Applications.
IEEE Access
Mohammed Awal Kassim, Herna L. Viktor, Wojtek Michalowski
2024 J jnl
Primary sequence based protein-protein interaction binder generation with transformers.
Complex Intell. Syst.
Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski
2024 — conf
Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading.
LOD (1)
Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
2023 J jnl
Deep learning in the stock market - a systematic survey of practice, backtesting, and applications.
Artif. Intell. Rev.
Kenniy Olorunnimbe, Herna L. Viktor
2023 J jnl
Deformable Protein Shape Classification Based on Deep Learning, and the Fractional Fokker-Planck and Kähler-Dirac Equations.
IEEE Trans. Pattern Anal. Mach. Intell.
Eric Paquet, Herna L. Viktor, Kamel Madi, Junzheng Wu
2023 J jnl
DynaQ: online learning from imbalanced multi-class streams through dynamic sampling.
Appl. Intell.
Farnaz Sadeghi, Herna L. Viktor, Parsa Vafaie
2023 J jnl
Faithful to Whom? Questioning Interpretability Measures in NLP.
CoRR
Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
2023 B conf
HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers.
DS
Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
2023 J jnl
In BLOOM: Creativity and Affinity in Artificial Lyrics and Art.
CoRR
Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
2023 J jnl
Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods.
IEEE Access
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
2023 J jnl
Measuring Improvement of F
CoRR
William Aiken, Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor
2023 — conf
Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt.
TechDebt@ICSE
William Aiken, Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor
2023 — conf
ProVolOne - Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis.
LOD (1)
Eric Paquet, Herna L. Viktor, Wojtek Michalowski, Gabriel St-Pierre Lemieux
2022 — conf
Adapting to Complexity: Deep Learnable Architecture for Protein-protein Interaction Predictions.
LOD (1)
Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski
2022 B conf
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers.
IJCNN
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
2022 J jnl
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers.
CoRR
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
2022 J jnl
COVID-19 malicious domain names classification.
Expert Syst. Appl.
Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
2022 J jnl
Exact shape flattening by means of Weitzenböck geometry and teleparallel distance.
Displays
Eric Paquet, Herna L. Viktor, Gabriel St-Pierre Lemieux
2022 J jnl
Geometric Deep Learning for Protein-Protein Interaction Predictions.
IEEE Access
Gabriel St-Pierre Lemieux, Eric Paquet, Herna L. Viktor, Wojtek Michalowski
2022 B conf
MQ-OFL: Multi-sensitive Queue-based Online Fair Learning.
DS
Farnaz Sadeghi, Herna L. Viktor
2022 J jnl
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods.
CoRR
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
2022 C conf
Similarity Embedded Temporal Transformers: Enhancing Stock Predictions with Historically Similar Trends.
ISMIS
Kenniy Olorunnimbe, Herna L. Viktor
2021 — conf
An Extensive Comparison of Systems for Entity Extraction from Log Files.
FPS
Anubhav Chhabra, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
2021 J jnl
Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning.
Expert Syst. Appl.
Rabaa Alabdulrahman, Herna L. Viktor
2021 — conf
Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations.
CSoNet
Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
2021 — conf
Online Semi-supervised Learning from Evolving Data Streams with Meta-features and Deep Reinforcement Learning.
LOD
Parsa Vafaie, Herna L. Viktor, Eric Paquet, Wojtek Michalowski
2021 — conf
Online-MC-Queue: Learning from Imbalanced Multi-Class Streams.
LIDTA@ECML/PKDD
Farnaz Sadeghi, Herna L. Viktor
2021 B conf
Paying Attention: Using a Siamese Pyramid Network for the Prediction of Protein-Protein Interactions with Folding and Self-Binding Primary Sequences.
IJCNN
Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski
2020 — conf
Multi-class imbalanced semi-supervised learning from streams through online ensembles.
ICDM (Workshops)
Parsa Vafaie, Herna L. Viktor, Wojtek Michalowski
2020 — conf
Personalised Recommendation Systems and the Impact of COVID-19: Perspectives, Opportunities and Challenges.
KDIR
Rabaa Abdulrahman, Herna L. Viktor
2019 C conf
Active Learning and Deep Learning for the Cold-Start Problem in Recommendation System: A Comparative Study.
IC3K
Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet
2019 — conf
Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems.
KDIR
Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet
2019 J jnl
Contextual One-Class Classification in Data Streams.
CoRR
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama
2019 B conf
Improved Programming-Language Independent MapReduce on Shared-Memory Systems.
DaWaK
Erik G. Selin, Herna L. Viktor
2019 B conf
Sensory Data-Driven Modeling of Adversaries in Mobile Crowdsensing Platforms.
GLOBECOM
Kyle Quintal, Ertugrul Kara, Murat Simsek, Burak Kantarci, Herna L. Viktor
2019 — conf
Soft Voting Windowing Ensembles for Learning from Partially Labelled Streams.
NFMCP@PKDD/ECML
Sean L. A. Floyd, Herna L. Viktor
2019 — conf
Towards Ethical Content-Based Detection Of Online Influence Campaigns.
MLSP
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
2019 J jnl
Towards Ethical Content-Based Detection of Online Influence Campaigns.
CoRR
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
2018 — conf
Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems.
KDIR
Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet
2018 — conf
Clustering in the Presence of Concept Drift.
ECML/PKDD (1)
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama
2018 J jnl
Dynamic adaptation of online ensembles for drifting data streams.
J. Intell. Inf. Syst.
M. Kehinde Olorunnimbe, Herna L. Viktor, Eric Paquet
2018 C conf
HCC-Learn Framework for Hybrid Learning in Recommender Systems.
IC3K
Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet
2018 B conf
McDiarmid Drift Detection Methods for Evolving Data Streams.
IJCNN
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
2018 J jnl
Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams.
Mach. Learn.
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
2018 C conf
SCUT-DS: Learning from Multi-class Imbalanced Canadian Weather Data.
ISMIS
Olubukola M. Olaitan, Herna L. Viktor
2018 — conf
XRT: Programming-Language Independent MapReduce on Shared-Memory Systems.
BigData Congress
Erik G. Selin, Herna L. Viktor
2017 C conf
An Exploratory Study of Oral and Dental Health in Canada.
ICMLA
Andrei Belcin, Sean Floyd, Areej Asiri, Herna L. Viktor
2017 B conf
Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams.
DS
Sarah D'Ettorre, Herna L. Viktor, Eric Paquet
2017 — conf
Exploring Mediatoil Imagery: A Content-based Approach.
KDIR
Sahil Saroop, Herna L. Viktor, Patrick McCurdy, Eric Paquet
2017 J jnl
McDiarmid Drift Detection Methods for Evolving Data Streams.
CoRR
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
2017 J jnl
Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams.
CoRR
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
2016 B conf
A Framework for Classification in Data Streams Using Multi-strategy Learning.
DS
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
2016 — conf
An Active Learning Approach for Ensemble-based Data Stream Mining.
KDIR
Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet
2016 J jnl
Dynamic Materialization for Building Personalized Smart Cubes.
Trans. Large Scale Data Knowl. Centered Syst.
Daniel K. Antwi, Herna L. Viktor
2016 — conf
Fast Hoeffding Drift Detection Method for Evolving Data Streams.
ECML/PKDD (2)
Ali Pesaranghader, Herna L. Viktor
2015 — conf
Data science workshop: experience driven analytics.
CASCON
Joanna Ng, Frank Dehne, Stan Matwin, Herna L. Viktor, Olga Baysal
2015 — conf
Intelligent Adaptive Ensembles for Data Stream Mining: A High Return on Investment Approach.
NFMCP
M. Kehinde Olorunnimbe, Herna L. Viktor, Eric Paquet
2015 C conf
Multi-label Classification of Anemia Patients.
ICMLA
Colin Bellinger, Ali Amid, Nathalie Japkowicz, Herna L. Viktor
2015 — conf
SCUT: Multi-Class Imbalanced Data Classification using SMOTE and Cluster-based Undersampling.
KDIR
Astha Agrawal, Herna L. Viktor, Eric Paquet
2015 C conf
Tweets as a Vote: Exploring Political Sentiments on Twitter for Opinion Mining.
ISMIS
Muhammed K. Olorunnimbe, Herna L. Viktor
2014 C conf
A Quantum Particle Swarm Optimization and Genetic Algorithm approach to the correspondence problem.
INISTA
Hamid Hadavi, Herna L. Viktor, Eric Paquet
2014 B conf
Building Smart Cubes for Reliable and Faster Access to Data.
DaWaK
Daniel K. Antwi, Herna L. Viktor
2014 — conf
Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling.
NFMCP
Parinaz Sobhani, Herna L. Viktor, Stan Matwin
2014 — conf
Physics-based measurements, reflective measurements and meta-measurements for nonrigid and deformable shapes with application to structural proteomics and macromolecular docking.
CIVEMSA
Eric Paquet, Dela De Youngster, Herna L. Viktor, Emil M. Petriu
2013 C conf
An isometry-invariant spectral approach for protein-protein docking.
BIBE
Dela De Youngster, Eric Paquet, Herna L. Viktor, Emil M. Petriu
2013 B conf
Artificial neural networks for predicting 3D protein shapes from amino acid sequences.
IJCNN
Herna L. Viktor, Eric Paquet, Jing Zhao
2013 J jnl
Reducing the size of databases for multirelational classification: a subgraph-based approach.
J. Intell. Inf. Syst.
Hongyu Guo, Herna L. Viktor, Eric Paquet
2013 — conf
Use of Performance Metrics to Forecast Success in the National Hockey League.
MLSA@PKDD/ECML
Joshua Weissbock, Herna L. Viktor, Diana Inkpen
2012 C conf
Aggregation and privacy in multi-relational databases.
PST
Yasser Jafer, Herna L. Viktor, Eric Paquet
2012 — conf
The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data.
ICDM Workshops
Daniel K. Antwi, Herna L. Viktor, Nathalie Japkowicz
2012 — conf
Transductive Relational Classification in the Co-training Paradigm.
MLDM
Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo
2012 J jnl
Who are our clients: consumer segmentation through explorative data mining.
Int. J. Data Min. Model. Manag.
Herna L. Viktor, Isis Peña, Eric Paquet
2011 — conf
A Comparative Evaluation of Proximity Measures for Spectral Clustering.
KDIR
Nadia Farhanaz Azam, Herna L. Viktor
2011 — conf
Multimodal Representations, Indexing, Unexpectedness and Proteins.
IEA/AIE (1)
Eric Paquet, Herna L. Viktor
2011 J jnl
Privacy Disclosure and Preservation in Learning with Multi-Relational Databases.
J. Comput. Sci. Eng.
Hongyu Guo, Herna L. Viktor, Eric Paquet
2011 — conf
Privacy leakage in multi-relational learning via unwanted classification models.
CASCON
Hongyu Guo, Herna L. Viktor, Eric Paquet
2011 — conf
Probability distributions from Riemannian geometry, generalized hybrid Monte Carlo sampling, and path integrals.
Three-Dimensional Imaging, Interaction, and Measurement
Eric Paquet, Herna L. Viktor
2011 C conf
Spectral Clustering: An Explorative Study of Proximity Measures.
IC3K
Nadia Farhanaz Azam, Herna L. Viktor
2011 — conf
To Aggregate or Not to Aggregate: That is the Question.
KDIR
Eric Paquet, Herna L. Viktor, Hongyu Guo
2010 — conf
Identifying and Preventing Data Leakage in Multi-relational Classification.
ICDM Workshops
Hongyu Guo, Herna L. Viktor, Eric Paquet
2010 — conf
Index spaces for 3D retrieval: toward a better understanding of their geometry and distribution.
Three-Dimensional Image Processing (3DIP) and Applications
Eric Paquet, Herna L. Viktor
2010 — conf
Preserving object-relational databases for the next generations.
ICDIM
Herna L. Viktor, Bo Wang, Eric Paquet, Julie Doyle
2009 B conf
Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures.
DaWaK
Isis Peña, Herna L. Viktor, Eric Paquet
2009 J jnl
Long-term digital preservation: preserving authenticity and usability of 3-D data.
Int. J. Digit. Libr.
Julie Doyle, Herna L. Viktor, Eric Paquet
2009 — ch.
Visual Data Mining from Visualization to Visual Information Mining.
Encyclopedia of Data Warehousing and Mining
Herna L. Viktor, Eric Paquet
2008 J jnl
Capri/MR: exploring protein databases from a structural and physicochemical point of view.
Proc. VLDB Endow.
Eric Paquet, Herna L. Viktor
2008 J jnl
Learning from Skewed Class Multi-relational Databases.
Fundam. Informaticae
Hongyu Guo, Herna L. Viktor
2008 J jnl
Multirelational classification: a multiple view approach.
Knowl. Inf. Syst.
Hongyu Guo, Herna L. Viktor
2008 — conf
Preservation metadata - a framework for 3D data based on the Semantic Web.
ICDIM
Julie Doyle, Herna L. Viktor, Eric Paquet
2007 J jnl
Adjustment of Virtual Mannequins Through Anthropometric Measurements, Cluster Analysis, and Content-Based Retrieval of 3-D Body Scans.
IEEE Trans. Instrum. Meas.
Eric Paquet, Herna L. Viktor
2007 — conf
Long term digital preservation - An end user's perspective.
ICDIM
Julie Doyle, Herna L. Viktor, Eric Paquet
2007 — conf
Pruning Relations for Substructure Discovery of Multi-relational Databases.
PKDD
Hongyu Guo, Herna L. Viktor, Eric Paquet
2006 — conf
Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification.
PKDD
Herna L. Viktor, Eric Paquet, Hongyu Guo
2006 A* conf
Mining relational data through correlation-based multiple view validation.
KDD
Hongyu Guo, Herna L. Viktor
2006 B conf
Multi-view ANNs for Multi-relational Classification.
IJCNN
Hongyu Guo, Herna L. Viktor
2005 J jnl
On the application of 3D technologies to the framework of cultural heritage.
Ann. des Télécommunications
Eric Paquet, Herna L. Viktor
2004 C conf
Boosting with Data Generation: Improving the Classification of Hard to Learn Examples.
IEA/AIE
Hongyu Guo, Herna L. Viktor
2004 J jnl
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach.
SIGKDD Explor.
Hongyu Guo, Herna L. Viktor
2004 — conf
Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples.
SSPR/SPR
Herna L. Viktor, Hongyu Guo
2003 — conf
Visualisation of Highly Textured Surfaces.
VAST
Sabry F. El-Hakim, Lorenzo Gonzo, Michel Picard, Stefano Girardi, Andrea Simoni, Eric Paquet, Herna L. Viktor, Claus Brenner
2002 — conf
The Virtual Boutique: a Synergic Approach to Virtualization, Content-based Management of 3D Information, 3D Data Mining an Virtual Reality for E-commerce.
3DPVT
Eric Paquet, Herna L. Viktor, Shawn Peter
2000 — conf
Cooperating to Learn: Knowledge Discovery through Intelligent Learning Agents.
ICMAS
Herna L. Viktor
2000 J jnl
Data mining in practice: from data to knowledge using a hybrid mining approach.
Int. J. Comput. Syst. Signals
Herna L. Viktor, Heidi Arndt
2000 — conf
Dynamic knowledge-base construction through knowledge discovery.
IRMA Conference
Heidi Arndt, Herna L. Viktor
2000 — conf
Enhancing Government Decision Making Through Knowledge Discovery from Data.
ECIS
Herna L. Viktor, Heidi Arndt, Mauritz Oberholzer
2000 — conf
Generating New Patterns for Information Gain and Improved Neural Network Learning.
IJCNN (4)
Herna L. Viktor
1999 B conf
Improved generalisation using cooperative learning and rule extraction.
IJCNN
Herna L. Viktor, Ian Cloete
1999 — conf
Rule Improvement Through Decision Boundary Detection Using Sensitivity Analysis.
IWANN (2)
Andries P. Engelbrecht, Herna L. Viktor
1999 — conf
The Development of a Data Warehouse for Policy Making: A Case Study.
HICSS
J. F. Francois Weilbach, Herna L. Viktor
1998 J jnl
Inductive Learning with a Computational Network.
J. Intell. Robotic Syst.
Herna L. Viktor, Ian Cloete
1997 — conf
Learning by Co-operation: Combining Multiple Computationally Intelligent Programs into a Computational Network.
ICANNGA
Herna L. Viktor, Ian Cloete
1995 Misc conf
Extracting DNF Rules from Artificial Neural Networks.
IWANN
Herna L. Viktor, Ian Cloete
1995 — conf
Reduction of symbolic rules from artificial neural networks using sensitivity analysis.
ICNN
Herna L. Viktor, Andries P. Engelbrecht, Ian Cloete