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Semantic ScholarHerna L. Viktor
Herna Lydia Viktor – Herna Viktor
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- affiliation: University of Ottawa, Ontario, Canada
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2010 – today
- 2018
[j14]M. Kehinde Olorunnimbe, Herna L. Viktor, Eric Paquet:
Dynamic adaptation of online ensembles for drifting data streams. J. Intell. Inf. Syst. 50(2): 291-313 (2018)- [j13]Ali Pesaranghader, Herna Viktor, Eric Paquet:
Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams. Machine Learning 107(11): 1711-1743 (2018) - [c54]Erik Selin, Herna Viktor:
XRT: Programming-Language Independent MapReduce on Shared-Memory Systems. BigData Congress 2018: 182-189 - [c53]Rabaa Alabdulrahman, Herna Viktor, Eric Paquet:
Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems. KDIR 2018: 80-89 - [c52]Ali Pesaranghader, Herna L. Viktor, Eric Paquet:
McDiarmid Drift Detection Methods for Evolving Data Streams. IJCNN 2018: 1-9 - [c51]Olubukola M. Olaitan, Herna L. Viktor:
SCUT-DS: Learning from Multi-class Imbalanced Canadian Weather Data. ISMIS 2018: 291-301 - [c50]Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama:
Clustering in the Presence of Concept Drift. ECML/PKDD (1) 2018: 339-355 - 2017
- [c49]Sarah D'Ettorre, Herna L. Viktor, Eric Paquet:
Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams. DS 2017: 3-17 - [c48]Sahil Saroop, Herna L. Viktor, Patrick McCurdy, Eric Paquet:
Exploring Mediatoil Imagery: A Content-based Approach. KDIR 2017: 246-254 - [c47]Andrei Belcin, Sean Floyd, Areej Asiri, Herna Viktor:
An Exploratory Study of Oral and Dental Health in Canada. ICMLA 2017: 1114-1119 - [i2]Ali Pesaranghader, Herna Viktor, Eric Paquet:
Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams. CoRR abs/1709.02457 (2017) - [i1]Ali Pesaranghader, Herna Viktor, Eric Paquet:
McDiarmid Drift Detection Methods for Evolving Data Streams. CoRR abs/1710.02030 (2017) - 2016
- [j12]Daniel K. Antwi, Herna L. Viktor:
Dynamic Materialization for Building Personalized Smart Cubes. T. Large-Scale Data- and Knowledge-Centered Systems 26: 61-88 (2016) - [c46]Ali Pesaranghader, Herna L. Viktor, Eric Paquet:
A Framework for Classification in Data Streams Using Multi-strategy Learning. DS 2016: 341-355 - [c45]Rabaa Alabdulrahman, Herna Viktor, Eric Paquet:
An Active Learning Approach for Ensemble-based Data Stream Mining. KDIR 2016: 275-282 - [c44]Ali Pesaranghader, Herna L. Viktor:
Fast Hoeffding Drift Detection Method for Evolving Data Streams. ECML/PKDD (2) 2016: 96-111 - 2015
- [c43]Joanna Ng, Frank Dehne, Stan Matwin, Herna Viktor, Olga Baysal:
Data science workshop: experience driven analytics. CASCON 2015: 344-346 - [c42]Astha Agrawal, Herna L. Viktor, Eric Paquet:
SCUT: Multi-Class Imbalanced Data Classification using SMOTE and Cluster-based Undersampling. KDIR 2015: 226-234 - [c41]Muhammed K. Olorunnimbe, Herna L. Viktor:
Tweets as a Vote: Exploring Political Sentiments on Twitter for Opinion Mining. ISMIS 2015: 180-185 - [c40]M. Kehinde Olorunnimbe, Herna L. Viktor, Eric Paquet:
Intelligent Adaptive Ensembles for Data Stream Mining: A High Return on Investment Approach. NFMCP 2015: 61-75 - 2014
- [c39]Daniel K. Antwi, Herna L. Viktor:
Building Smart Cubes for Reliable and Faster Access to Data. DaWaK 2014: 254-265 - [c38]Hamid Hadavi, Herna L. Viktor, Eric Paquet:
A Quantum Particle Swarm Optimization and Genetic Algorithm approach to the correspondence problem. INISTA 2014: 226-233 - [c37]Parinaz Sobhani, Herna Viktor, Stan Matwin:
Learning from Imbalanced Data Using Ensemble Methods and Cluster-Based Undersampling. NFMCP 2014: 69-83 - 2013
- [j11]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): 349-374 (2013) - [c36]Dela De Youngster, Eric Paquet, Herna L. Viktor, Emil M. Petriu:
An isometry-invariant spectral approach for protein-protein docking. BIBE 2013: 1-6 - [c35]Eric Paquet, Herna Lydia Viktor:
Isometrically Invariant Description of Deformable Objects Based on the Fractional Heat Equation. CAIP (2) 2013: 135-143 - [c34]Salvador Valencia Rodríguez, Herna Lydia Viktor:
A Personalized Location Aware Multi-Criteria Recommender System Based on Context-Aware User Preference Models. AIAI 2013: 30-39 - [c33]Herna L. Viktor, Eric Paquet, Jing Zhao:
Artificial neural networks for predicting 3D protein shapes from amino acid sequences. IJCNN 2013: 1-8 - [c32]Joshua Weissbock, Herna Viktor, Diana Inkpen:
Use of Performance Metrics to Forecast Success in the National Hockey League. MLSA@PKDD/ECML 2013: 39-48 - 2012
- [j10]Herna L. Viktor, Isis Peña, Eric Paquet:
Who are our clients: consumer segmentation through explorative data mining. IJDMMM 4(3): 286-308 (2012) - [c31]Daniel K. Antwi, Herna L. Viktor, Nathalie Japkowicz:
The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data. ICDM Workshops 2012: 619-628 - [c30]Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo:
Transductive Relational Classification in the Co-training Paradigm. MLDM 2012: 11-25 - [c29]Eric Paquet, Herna Lydia Viktor, Hongyu Guo:
Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation. NFMCP 2012: 49-63 - [c28]Yasser Jafer, Herna L. Viktor, Eric Paquet:
Aggregation and privacy in multi-relational databases. PST 2012: 67-74 - 2011
- [j9]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Privacy Disclosure and Preservation in Learning with Multi-Relational Databases. JCSE 5(3): 183-196 (2011) - [c27]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: 78640X - [c26]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Privacy leakage in multi-relational learning via unwanted classification models. CASCON 2011: 45-59 - [c25]Nadia Farhanaz Azam, Herna L. Viktor:
A Comparative Evaluation of Proximity Measures for Spectral Clustering. KDIR 2011: 30-41 - [c24]Nadia Farhanaz Azam, Herna L. Viktor:
Spectral Clustering: An Explorative Study of Proximity Measures. IC3K 2011: 60-78 - [c23]Eric Paquet, Herna L. Viktor, Hongyu Guo:
To Aggregate or Not to Aggregate: That is the Question. KDIR 2011: 354-357 - [c22]Eric Paquet, Herna L. Viktor:
Multimodal Representations, Indexing, Unexpectedness and Proteins. IEA/AIE (1) 2011: 85-94 - 2010
- [c21]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: 75260J - [c20]Herna L. Viktor, Bo Wang, Eric Paquet, Julie Doyle:
Preserving object-relational databases for the next generations. ICDIM 2010: 11-18 - [c19]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Identifying and Preventing Data Leakage in Multi-relational Classification. ICDM Workshops 2010: 458-465
2000 – 2009
- 2009
- [j8]Julie Doyle, Herna L. Viktor, Eric Paquet:
Long-term digital preservation: preserving authenticity and usability of 3-D data. Int. J. on Digital Libraries 10(1): 33-47 (2009) - [c18]Isis Peña, Herna L. Viktor, Eric Paquet:
Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures. DaWaK 2009: 216-228 - [c17]Eric Paquet, Herna Lydia Viktor:
Finding Protein Family Similarities in Real Time through Multiple 3D and 2D Representations, Indexing and Exhaustive Searching. KDIR 2009: 127-133 - [c16]Isis Peña, Herna Lydia Viktor, Eric Paquet:
Explorative Data Mining for the Sizing of Population Groups. KDIR 2009: 152-159 - [r1]Herna L. Viktor, Eric Paquet:
Visual Data Mining from Visualization to Visual Information Mining. Encyclopedia of Data Warehousing and Mining 2009: 2056-2061 - 2008
- [j7]Hongyu Guo, Herna L. Viktor:
Learning from Skewed Class Multi-relational Databases. Fundam. Inform. 89(1): 69-94 (2008) - [j6]Hongyu Guo, Herna L. Viktor:
Multirelational classification: a multiple view approach. Knowl. Inf. Syst. 17(3): 287-312 (2008) - [j5]Eric Paquet, Herna L. Viktor:
Capri/MR: exploring protein databases from a structural and physicochemical point of view. PVLDB 1(2): 1504-1507 (2008) - [c15]Julie Doyle, Herna L. Viktor, Eric Paquet:
Preservation metadata - a framework for 3D data based on the Semantic Web. ICDIM 2008: 925-927 - 2007
- [j4]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. Instrumentation and Measurement 56(5): 1924-1929 (2007) - [c14]Julie Doyle, Herna L. Viktor, Eric Paquet:
Long term digital preservation - An end user's perspective. ICDIM 2007: 146-151 - [c13]Hongyu Guo, Herna L. Viktor, Eric Paquet:
Pruning Relations for Substructure Discovery of Multi-relational Databases. PKDD 2007: 462-470 - 2006
- [c12]Hongyu Guo, Herna L. Viktor:
Multi-view ANNs for Multi-relational Classification. IJCNN 2006: 5259-5266 - [c11]Hongyu Guo, Herna L. Viktor:
Mining relational data through correlation-based multiple view validation. KDD 2006: 567-573 - [c10]Herna L. Viktor, Eric Paquet, Hongyu Guo:
Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification. PKDD 2006: 395-406 - 2005
- [j3]Eric Paquet, Herna L. Viktor:
On the application of 3D technologies to the framework of cultural heritage. Annales des Télécommunications 60(11-12): 1379-1393 (2005) - 2004
- [j2]Hongyu Guo, Herna L. Viktor:
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach. SIGKDD Explorations 6(1): 30-39 (2004) - [c9]Hongyu Guo, Herna L. Viktor:
Boosting with Data Generation: Improving the Classification of Hard to Learn Examples. IEA/AIE 2004: 1082-1091 - [c8]Herna L. Viktor, Hongyu Guo:
Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples. SSPR/SPR 2004: 974-982 - 2003
- [c7]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: 203-212 - 2002
- [c6]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: 268-276 - 2000
- [j1]Herna L. Viktor, Heidi Arndt:
Data mining in practice: from data to knowledge using a hybrid mining approach. Int. J. Comput. Syst. Signal 1(2): 139-153 (2000) - [c5]Herna L. Viktor, Heidi Arndt, Mauritz Oberholzer:
Enhancing Government Decision Making Through Knowledge Discovery from Data. ECIS 2000: 266-273 - [c4]Herna L. Viktor:
Cooperating to Learn: Knowledge Discovery through Intelligent Learning Agents. ICMAS 2000: 453-454 - [c3]Herna L. Viktor:
Generating New Patterns for Information Gain and Improved Neural Network Learning. IJCNN (4) 2000: 529-534 - [c2]Heidi Arndt, Herna L. Viktor:
Dynamic knowledge-base construction through knowledge discovery. IRMA Conference 2000: 934-935
1990 – 1999
- 1999
- [c1]J. F. Francois Weilbach, Herna L. Viktor:
The Development of a Data Warehouse for Policy Making: A Case Study. HICSS 1999
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