Herna L. Viktor

According to our database1, Herna L. Viktor authored at least 76 papers between 1999 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Towards Ethical Content-Based Detection of Online Influence Campaigns.
CoRR, 2019

Contextual One-Class Classification in Data Streams.
CoRR, 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

Improved Programming-Language Independent MapReduce on Shared-Memory Systems.
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.
Machine Learning, 2018

Dynamic adaptation of online ensembles for drifting data streams.
J. Intell. Inf. Syst., 2018

Clustering in the Presence of Concept Drift.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

SCUT-DS: Learning from Multi-class Imbalanced Canadian Weather Data.
Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

McDiarmid Drift Detection Methods for Evolving Data Streams.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

XRT: Programming-Language Independent MapReduce on Shared-Memory Systems.
Proceedings of the 2018 IEEE International Congress on Big Data, 2018

2017
McDiarmid Drift Detection Methods for Evolving Data Streams.
CoRR, 2017

Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams.
CoRR, 2017

An Exploratory Study of Oral and Dental Health in Canada.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Exploring Mediatoil Imagery: A Content-based Approach.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Context-Based Abrupt Change Detection and Adaptation for Categorical Data Streams.
Proceedings of the Discovery Science - 20th International Conference, 2017

2016
Dynamic Materialization for Building Personalized Smart Cubes.
T. Large-Scale Data- and Knowledge-Centered Systems, 2016

Fast Hoeffding Drift Detection Method for Evolving Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

An Active Learning Approach for Ensemble-based Data Stream Mining.
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

A Framework for Classification in Data Streams Using Multi-strategy Learning.
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

Tweets as a Vote: Exploring Political Sentiments on Twitter for Opinion Mining.
Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Multi-label Classification of Anemia Patients.
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

Data science workshop: experience driven analytics.
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

Building Smart Cubes for Reliable and Faster Access to Data.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

2013
Reducing the size of databases for multirelational classification: a subgraph-based approach.
J. Intell. Inf. Syst., 2013

Use of Performance Metrics to Forecast Success in the National Hockey League.
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

An isometry-invariant spectral approach for protein-protein docking.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012
Who are our clients: consumer segmentation through explorative data mining.
IJDMMM, 2012

Aggregation and privacy in multi-relational databases.
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

Transductive Relational Classification in the Co-training Paradigm.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Privacy Disclosure and Preservation in Learning with Multi-Relational Databases.
JCSE, 2011

Multimodal Representations, Indexing, Unexpectedness and Proteins.
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

Spectral Clustering: An Explorative Study of Proximity Measures.
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

Privacy leakage in multi-relational learning via unwanted classification models.
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
Identifying and Preventing Data Leakage in Multi-relational Classification.
Proceedings of the ICDMW 2010, 2010

Preserving object-relational databases for the next generations.
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
Visual Data Mining from Visualization to Visual Information Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Long-term digital preservation: preserving authenticity and usability of 3-D data.
Int. J. on Digital Libraries, 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.
PVLDB, 2008

Multirelational classification: a multiple view approach.
Knowl. Inf. Syst., 2008

Learning from Skewed Class Multi-relational Databases.
Fundam. Inform., 2008

Preservation metadata - a framework for 3D data based on the Semantic Web.
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. Instrumentation and Measurement, 2007

Pruning Relations for Substructure Discovery of Multi-relational Databases.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Long term digital preservation - An end user's perspective.
Proceedings of the Second IEEE International Conference on Digital Information Management (ICDIM), 2007

2006
Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Mining relational data through correlation-based multiple view validation.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Multi-view ANNs for Multi-relational Classification.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
On the application of 3D technologies to the framework of cultural heritage.
Annales des Télécommunications, 2005

2004
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach.
SIGKDD Explorations, 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
Visualisation of Highly Textured Surfaces.
Proceedings of the VAST 2003: 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
Data mining in practice: from data to knowledge using a hybrid mining approach.
Int. J. Comput. Syst. Signal, 2000

Dynamic knowledge-base construction through knowledge discovery.
Proceedings of the Challenges of Information Technology Management in the 21st Century, 2000

Generating New Patterns for Information Gain and Improved Neural Network Learning.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Cooperating to Learn: Knowledge Discovery through Intelligent Learning Agents.
Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

Enhancing Government Decision Making Through Knowledge Discovery from Data.
Proceedings of the 8th European Conference on Information Systems, 2000

1999
The Development of a Data Warehouse for Policy Making: A Case Study.
Proceedings of the 32nd Annual Hawaii International Conference on System Sciences (HICSS-32), 1999


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