Herna L. Viktor

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 55

Top Venues

CoRR

KDIR

ISMIS

Publications

Kenniy Olorunnimbe, Herna L. Viktor
Enhancing Temporal Transformers for Financial Time Series via Local Surrogate Interpretability. ISMIS (2024)
Pouya Khodaee, Herna L. Viktor, Wojtek Michalowski
Knowledge transfer in lifelong machine learning: a systematic literature review. Artif. Intell. Rev. 57 (8) (2024)
Mohammed Awal Kassim, Herna L. Viktor, Wojtek Michalowski
Multi-Label Lifelong Machine Learning: A Scoping Review of Algorithms, Techniques, and Applications. IEEE Access 12 (2024)
Kenniy Olorunnimbe, Herna L. Viktor
Deep learning in the stock market - a systematic survey of practice, backtesting, and applications. Artif. Intell. Rev. 56 (3) (2023)
William Aiken, Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor
-Scores in Detection of Self-Admitted Technical Debt. CoRR (2023)
Eric Paquet, Herna L. Viktor, Wojtek Michalowski, Gabriel St-Pierre Lemieux
ProVolOne - Protein Volume Prediction Using a Multi-attention, Multi-resolution Deep Neural Network and Finite Element Analysis. LOD (1) (2023)
Eric Paquet, Herna L. Viktor, Kamel Madi, Junzheng Wu
Deformable Protein Shape Classification Based on Deep Learning, and the Fractional Fokker-Planck and Kähler-Dirac Equations. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
In BLOOM: Creativity and Affinity in Artificial Lyrics and Art. CoRR (2023)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
Machine-Generated Text: A Comprehensive Survey of Threat Models and Detection Methods. IEEE Access 11 (2023)
William Aiken, Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor
Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. TechDebt@ICSE (2023)
Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. DS (2023)
Farnaz Sadeghi, Herna L. Viktor, Parsa Vafaie
DynaQ: online learning from imbalanced multi-class streams through dynamic sampling. Appl. Intell. 53 (21) (2023)
Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
Faithful to Whom? Questioning Interpretability Measures in NLP. CoRR (2023)
Gabriel St-Pierre Lemieux, Eric Paquet, Herna L. Viktor, Wojtek Michalowski
Geometric Deep Learning for Protein-Protein Interaction Predictions. IEEE Access 10 (2022)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. CoRR (2022)
Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
COVID-19 malicious domain names classification. Expert Syst. Appl. 204 (2022)
Farnaz Sadeghi, Herna L. Viktor
MQ-OFL: Multi-sensitive Queue-based Online Fair Learning. DS (2022)
Kenniy Olorunnimbe, Herna L. Viktor
Similarity Embedded Temporal Transformers: Enhancing Stock Predictions with Historically Similar Trends. ISMIS (2022)
Eric Paquet, Herna L. Viktor, Gabriel St-Pierre Lemieux
Exact shape flattening by means of Weitzenböck geometry and teleparallel distance. Displays 75 (2022)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor, Paula Branco
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers. IJCNN (2022)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods. CoRR (2022)
Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski
Adapting to Complexity: Deep Learnable Architecture for Protein-protein Interaction Predictions. LOD (1) (2022)
Rabaa Alabdulrahman, Herna L. Viktor
Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning. Expert Syst. Appl. 166 (2021)
Junzheng Wu, Eric Paquet, Herna L. Viktor, Wojtek Michalowski
Paying Attention: Using a Siamese Pyramid Network for the Prediction of Protein-Protein Interactions with Folding and Self-Binding Primary Sequences. IJCNN (2021)
Anubhav Chhabra, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
An Extensive Comparison of Systems for Entity Extraction from Log Files. FPS (2021)
Farnaz Sadeghi, Herna L. Viktor
Online-MC-Queue: Learning from Imbalanced Multi-Class Streams. LIDTA@ECML/PKDD (2021)
Parsa Vafaie, Herna L. Viktor, Eric Paquet, Wojtek Michalowski
Online Semi-supervised Learning from Evolving Data Streams with Meta-features and Deep Reinforcement Learning. LOD (2021)
Evan Crothers, Herna L. Viktor, Nathalie Japkowicz
Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations. CSoNet (2021)
Rabaa Abdulrahman, Herna L. Viktor
Personalised Recommendation Systems and the Impact of COVID-19: Perspectives, Opportunities and Challenges. KDIR (2020)
Parsa Vafaie, Herna L. Viktor, Wojtek Michalowski
Multi-class imbalanced semi-supervised learning from streams through online ensembles. ICDM (Workshops) (2020)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
Towards Ethical Content-Based Detection of Online Influence Campaigns. CoRR (2019)
Sean L. A. Floyd, Herna L. Viktor
Soft Voting Windowing Ensembles for Learning from Partially Labelled Streams. NFMCP@PKDD/ECML (2019)
Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet
Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems. KDIR (2019)
Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet
Active Learning and Deep Learning for the Cold-Start Problem in Recommendation System: A Comparative Study. IC3K (2019)
Kyle Quintal, Ertugrul Kara, Murat Simsek, Burak Kantarci, Herna L. Viktor
Sensory Data-Driven Modeling of Adversaries in Mobile Crowdsensing Platforms. GLOBECOM (2019)
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama
Contextual One-Class Classification in Data Streams. CoRR (2019)
Evan Crothers, Nathalie Japkowicz, Herna L. Viktor
Towards Ethical Content-Based Detection Of Online Influence Campaigns. MLSP (2019)
Erik G. Selin, Herna L. Viktor
Improved Programming-Language Independent MapReduce on Shared-Memory Systems. DaWaK (2019)
Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet
Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems. KDIR (2018)
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama
Clustering in the Presence of Concept Drift. ECML/PKDD (1) (2018)
Olubukola M. Olaitan, Herna L. Viktor
SCUT-DS: Learning from Multi-class Imbalanced Canadian Weather Data. ISMIS (2018)
Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet
HCC-Learn Framework for Hybrid Learning in Recommender Systems. IC3K (2018)
M. Kehinde Olorunnimbe, Herna L. Viktor, Eric Paquet
Dynamic adaptation of online ensembles for drifting data streams. J. Intell. Inf. Syst. 50 (2) (2018)
Erik G. Selin, Herna L. Viktor
XRT: Programming-Language Independent MapReduce on Shared-Memory Systems. BigData Congress (2018)
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
McDiarmid Drift Detection Methods for Evolving Data Streams. IJCNN (2018)
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams. Mach. Learn. 107 (11) (2018)
Sarah D'Ettorre, Herna L. Viktor, Eric Paquet
Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams. DS (2017)
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams. CoRR (2017)
Sahil Saroop, Herna L. Viktor, Patrick McCurdy, Eric Paquet
Exploring Mediatoil Imagery: A Content-based Approach. KDIR (2017)
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
McDiarmid Drift Detection Methods for Evolving Data Streams. CoRR (2017)
Andrei Belcin, Sean Floyd, Areej Asiri, Herna L. Viktor
An Exploratory Study of Oral and Dental Health in Canada. ICMLA (2017)
Ali Pesaranghader, Herna L. Viktor, Eric Paquet
A Framework for Classification in Data Streams Using Multi-strategy Learning. DS (2016)
Daniel K. Antwi, Herna L. Viktor
Dynamic Materialization for Building Personalized Smart Cubes. Trans. Large Scale Data Knowl. Centered Syst. 26 (2016)
Rabaa Alabdulrahman, Herna L. Viktor, Eric Paquet
An Active Learning Approach for Ensemble-based Data Stream Mining. KDIR (2016)
Ali Pesaranghader, Herna L. Viktor
Fast Hoeffding Drift Detection Method for Evolving Data Streams. ECML/PKDD (2) (2016)
Colin Bellinger, Ali Amid, Nathalie Japkowicz, Herna L. Viktor
Multi-label Classification of Anemia Patients. ICMLA (2015)
Joanna Ng, Frank Dehne, Stan Matwin, Herna L. Viktor, Olga Baysal
Data science workshop: experience driven analytics. CASCON (2015)
Muhammed K. Olorunnimbe, Herna L. Viktor
Tweets as a Vote: Exploring Political Sentiments on Twitter for Opinion Mining. ISMIS (2015)
M. Kehinde Olorunnimbe, Herna L. Viktor, Eric Paquet
Intelligent Adaptive Ensembles for Data Stream Mining: A High Return on Investment Approach. NFMCP (2015)
Astha Agrawal, Herna L. Viktor, Eric Paquet
SCUT: Multi-Class Imbalanced Data Classification using SMOTE and Cluster-based Undersampling. KDIR (2015)
Parinaz Sobhani, Herna L. Viktor, Stan Matwin
Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling. NFMCP (2014)
Eric Paquet, Dela De Youngster, Herna L. Viktor, Emil M. Petriu
Physics-based measurements, reflective measurements and meta-measurements for nonrigid and deformable shapes with application to structural proteomics and macromolecular docking. CIVEMSA (2014)
Daniel K. Antwi, Herna L. Viktor
Building Smart Cubes for Reliable and Faster Access to Data. DaWaK (2014)
Hamid Hadavi, Herna L. Viktor, Eric Paquet
A Quantum Particle Swarm Optimization and Genetic Algorithm approach to the correspondence problem. INISTA (2014)
Dela De Youngster, Eric Paquet, Herna L. Viktor, Emil M. Petriu
An isometry-invariant spectral approach for protein-protein docking. BIBE (2013)
Hongyu Guo, Herna L. Viktor, Eric Paquet
Reducing the size of databases for multirelational classification: a subgraph-based approach. J. Intell. Inf. Syst. 40 (2) (2013)
Joshua Weissbock, Herna L. Viktor, Diana Inkpen
Use of Performance Metrics to Forecast Success in the National Hockey League. MLSA@PKDD/ECML (2013)
Herna L. Viktor, Eric Paquet, Jing Zhao
Artificial neural networks for predicting 3D protein shapes from amino acid sequences. IJCNN (2013)
Herna L. Viktor, Isis Peña, Eric Paquet
Who are our clients: consumer segmentation through explorative data mining. Int. J. Data Min. Model. Manag. 4 (3) (2012)
Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo
Transductive Relational Classification in the Co-training Paradigm. MLDM (2012)
Yasser Jafer, Herna L. Viktor, Eric Paquet
Aggregation and privacy in multi-relational databases. PST (2012)
Daniel K. Antwi, Herna L. Viktor, Nathalie Japkowicz
The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data. ICDM Workshops (2012)
Eric Paquet, Herna L. Viktor
Probability distributions from Riemannian geometry, generalized hybrid Monte Carlo sampling, and path integrals. Three-Dimensional Imaging, Interaction, and Measurement (2011)
Hongyu Guo, Herna L. Viktor, Eric Paquet
Privacy leakage in multi-relational learning via unwanted classification models. CASCON (2011)
Hongyu Guo, Herna L. Viktor, Eric Paquet
Privacy Disclosure and Preservation in Learning with Multi-Relational Databases. J. Comput. Sci. Eng. 5 (3) (2011)
Nadia Farhanaz Azam, Herna L. Viktor
Spectral Clustering: An Explorative Study of Proximity Measures. IC3K (2011)
Nadia Farhanaz Azam, Herna L. Viktor
A Comparative Evaluation of Proximity Measures for Spectral Clustering. KDIR (2011)
Eric Paquet, Herna L. Viktor, Hongyu Guo
To Aggregate or Not to Aggregate: That is the Question. KDIR (2011)
Eric Paquet, Herna L. Viktor
Multimodal Representations, Indexing, Unexpectedness and Proteins. IEA/AIE (1) (2011)
Herna L. Viktor, Bo Wang, Eric Paquet, Julie Doyle
Preserving object-relational databases for the next generations. ICDIM (2010)
Hongyu Guo, Herna L. Viktor, Eric Paquet
Identifying and Preventing Data Leakage in Multi-relational Classification. ICDM Workshops (2010)
Eric Paquet, Herna L. Viktor
Index spaces for 3D retrieval: toward a better understanding of their geometry and distribution. Three-Dimensional Image Processing (3DIP) and Applications (2010)
Isis Peña, Herna L. Viktor, Eric Paquet
Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures. DaWaK (2009)
Julie Doyle, Herna L. Viktor, Eric Paquet
Long-term digital preservation: preserving authenticity and usability of 3-D data. Int. J. Digit. Libr. 10 (1) (2009)
Eric Paquet, Herna L. Viktor
Capri/MR: exploring protein databases from a structural and physicochemical point of view. Proc. VLDB Endow. 1 (2) (2008)
Hongyu Guo, Herna L. Viktor
Learning from Skewed Class Multi-relational Databases. Fundam. Informaticae 89 (1) (2008)
Hongyu Guo, Herna L. Viktor
Multirelational classification: a multiple view approach. Knowl. Inf. Syst. 17 (3) (2008)
Julie Doyle, Herna L. Viktor, Eric Paquet
Preservation metadata - a framework for 3D data based on the Semantic Web. ICDIM (2008)
Eric Paquet, Herna L. Viktor
Adjustment of Virtual Mannequins Through Anthropometric Measurements, Cluster Analysis, and Content-Based Retrieval of 3-D Body Scans. IEEE Trans. Instrum. Meas. 56 (5) (2007)
Julie Doyle, Herna L. Viktor, Eric Paquet
Long term digital preservation - An end user's perspective. ICDIM (2007)
Hongyu Guo, Herna L. Viktor, Eric Paquet
Pruning Relations for Substructure Discovery of Multi-relational Databases. PKDD (2007)
Herna L. Viktor, Eric Paquet, Hongyu Guo
Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification. PKDD (2006)
Hongyu Guo, Herna L. Viktor
Multi-view ANNs for Multi-relational Classification. IJCNN (2006)
Hongyu Guo, Herna L. Viktor
Mining relational data through correlation-based multiple view validation. KDD (2006)
Eric Paquet, Herna L. Viktor
On the application of 3D technologies to the framework of cultural heritage. Ann. des Télécommunications 60 (11-12) (2005)
Herna L. Viktor, Hongyu Guo
Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples. SSPR/SPR (2004)
Hongyu Guo, Herna L. Viktor
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach. SIGKDD Explor. 6 (1) (2004)
Hongyu Guo, Herna L. Viktor
Boosting with Data Generation: Improving the Classification of Hard to Learn Examples. IEA/AIE (2004)
Sabry F. El-Hakim, Lorenzo Gonzo, Michel Picard, Stefano Girardi, Andrea Simoni, Eric Paquet, Herna L. Viktor, Claus Brenner
Visualisation of Highly Textured Surfaces. VAST (2003)
Eric Paquet, Herna L. Viktor, Shawn Peter
The Virtual Boutique: a Synergic Approach to Virtualization, Content-based Management of 3D Information, 3D Data Mining an Virtual Reality for E-commerce. 3DPVT (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Herna L. Viktor