| 2026 | ISMIS | ReMemDiff: Multi-label Lifelong Machine Learning Using Deep Generative Replay. | Mohammed Awal Kassim, Herna L. Viktor, Wojtek Michalowski |
| 2025 | AIME | CUE-X: A Framework for the Automatic Evaluation of Clinical Usefulness of Explanations for the Multimorbidity Problem. | Martin Michalowski, Szymon Wilk, Jenny M. Bauer, Marc Carrier, Herna L. Viktor, Wojtek Michalowski |
| 2025 | IC3K | Towards Interpretable Fairness-Aware Online Machine Learning Through Local Surrogate Models. | Farnaz Sadeghi, Capri Paquet, Herna L. Viktor |
| 2025 | IJCNN | Protein structure generation using a variational autoencoder with Lvy noise and quantum graph transformer. | Eric Paquet, Herna L. Viktor, Wojtek Michalowski |
| 2024 | ISMIS | Enhancing Temporal Transformers for Financial Time Series via Local Surrogate Interpretability. | Kenniy Olorunnimbe, Herna L. Viktor |
| 2023 | DIS | HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. | Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor |
| 2023 | TechDebt | Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. | William Aiken, Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor |
| 2022 | DIS | MQ-OFL: Multi-sensitive Queue-based Online Fair Learning. | Farnaz Sadeghi, Herna L. Viktor |
| 2022 | IJCNN | Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. | Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco |
| 2022 | ISMIS | Similarity Embedded Temporal Transformers: Enhancing Stock Predictions with Historically Similar Trends. | Kenniy Olorunnimbe, Herna L. Viktor |
| 2021 | IJCNN | Paying Attention: Using a Siamese Pyramid Network for the Prediction of Protein-Protein Interactions with Folding and Self-Binding Primary Sequences. | Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski |
| 2020 | IC3K | Personalised Recommendation Systems and the Impact of COVID-19: Perspectives, Opportunities and Challenges. | Rabaa Abdulrahman, Herna L. Viktor |
| 2020 | ICDM | Multi-class imbalanced semi-supervised learning from streams through online ensembles. | Parsa Vafaie, Herna L. Viktor, Wojtek Michalowski |
| 2019 | DaWaK | Improved Programming-Language Independent MapReduce on Shared-Memory Systems. | Erik G. Selin, Herna L. Viktor |
| 2019 | GLOBECOM | Sensory Data-Driven Modeling of Adversaries in Mobile Crowdsensing Platforms. | Kyle Quintal, Ertugrul Kara, Murat Simsek, Burak Kantarci, Herna L. Viktor |
| 2019 | IC3K | Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems. | Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet |
| 2019 | IC3K | Active Learning and Deep Learning for the Cold-Start Problem in Recommendation System: A Comparative Study. | Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet |
| 2018 | BigData | XRT: Programming-Language Independent MapReduce on Shared-Memory Systems. | Erik G. Selin, Herna L. Viktor |
| 2018 | IC3K | Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems. | Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet |
| 2018 | IC3K | HCC-Learn Framework for Hybrid Learning in Recommender Systems. | Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet |
| 2018 | IJCNN | McDiarmid Drift Detection Methods for Evolving Data Streams. | Ali Pesaranghader, Herna L. Viktor, Eric Paquet |
| 2018 | ISMIS | SCUT-DS: Learning from Multi-class Imbalanced Canadian Weather Data. | Olubukola M. Olaitan, Herna L. Viktor |
| 2017 | DIS | Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams. | Sarah D'Ettorre, Herna L. Viktor, Eric Paquet |
| 2017 | IC3K | Exploring Mediatoil Imagery: A Content-based Approach. | Sahil Saroop, Herna L. Viktor, Patrick McCurdy, Eric Paquet |
| 2017 | ICMLA | An Exploratory Study of Oral and Dental Health in Canada. | Andrei Belcin, Sean Floyd, Areej Asiri, Herna L. Viktor |
| 2016 | DIS | A Framework for Classification in Data Streams Using Multi-strategy Learning. | Ali Pesaranghader, Herna L. Viktor, Eric Paquet |
| 2016 | IC3K | An Active Learning Approach for Ensemble-based Data Stream Mining. | Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet |
| 2015 | IC3K | SCUT: Multi-Class Imbalanced Data Classification using SMOTE and Cluster-based Undersampling. | Astha Agrawal, Herna L. Viktor, Eric Paquet |
| 2015 | ICMLA | Multi-label Classification of Anemia Patients. | Colin Bellinger, Ali Amid, Nathalie Japkowicz, Herna L. Viktor |
| 2015 | ISMIS | Tweets as a Vote: Exploring Political Sentiments on Twitter for Opinion Mining. | Muhammed K. Olorunnimbe, Herna L. Viktor |
| 2014 | DaWaK | Building Smart Cubes for Reliable and Faster Access to Data. | Daniel K. Antwi, Herna L. Viktor |
| 2014 | INISTA | A Quantum Particle Swarm Optimization and Genetic Algorithm approach to the correspondence problem. | Hamid Hadavi, Herna L. Viktor, Eric Paquet |
| 2013 | BIBE | An isometry-invariant spectral approach for protein-protein docking. | Dela De Youngster, Eric Paquet, Herna L. Viktor, Emil M. Petriu |
| 2013 | IJCNN | Artificial neural networks for predicting 3D protein shapes from amino acid sequences. | Herna L. Viktor, Eric Paquet, Jing Zhao |
| 2012 | ICDM | The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data. | Daniel K. Antwi, Herna L. Viktor, Nathalie Japkowicz |
| 2012 | PST | Aggregation and privacy in multi-relational databases. | Yasser Jafer, Herna L. Viktor, Eric Paquet |
| 2011 | IC3K | A Comparative Evaluation of Proximity Measures for Spectral Clustering. | Nadia Farhanaz Azam, Herna L. Viktor |
| 2011 | IC3K | Spectral Clustering: An Explorative Study of Proximity Measures. | Nadia Farhanaz Azam, Herna L. Viktor |
| 2011 | IC3K | To Aggregate or Not to Aggregate: That is the Question. | Eric Paquet, Herna L. Viktor, Hongyu Guo |
| 2010 | ICDM | Identifying and Preventing Data Leakage in Multi-relational Classification. | Hongyu Guo, Herna L. Viktor, Eric Paquet |
| 2009 | DaWaK | Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures. | Isis Pea, Herna L. Viktor, Eric Paquet |
| 2006 | IJCNN | Multi-view ANNs for Multi-relational Classification. | Hongyu Guo, Herna L. Viktor |
| 2006 | KDD | Mining relational data through correlation-based multiple view validation. | Hongyu Guo, Herna L. Viktor |
| 2004 | SSPR | Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples. | Herna L. Viktor, Hongyu Guo |
| 2000 | IJCNN | Generating New Patterns for Information Gain and Improved Neural Network Learning. | Herna L. Viktor |
| 1999 | IJCNN | Improved generalisation using cooperative learning and rule extraction. | Herna L. Viktor, Ian Cloete |
| 1999 | IWANN | Rule Improvement Through Decision Boundary Detection Using Sensitivity Analysis. | Andries P. Engelbrecht, Herna L. Viktor |
| 1995 | IWANN | Extracting DNF Rules from Artificial Neural Networks. | Herna L. Viktor, Ian Cloete |