2024
Class-Based Time Series Data Augmentation to Mitigate Extreme Class Imbalance for Solar Flare Prediction.
CoRR, 2024
FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder.
CoRR, 2024
Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
2023
Contingency Space: A Semimetric Space for Classification Evaluation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Examining Effects of Class Imbalance on Conditional GAN Training.
Proceedings of the Artificial Intelligence and Soft Computing, 2023
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting.
Proceedings of the Discovery Science - 26th International Conference, 2023
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks.
Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023
2022
Magnetic Polarity Inversion Line Detection and Analysis Tool.
Dataset, June, 2022
Special issue on deep learning for time series data.
Neural Comput. Appl., 2022
CGAN-based synthetic multivariate time-series generation: a solution to data scarcity in solar flare forecasting.
Neural Comput. Appl., 2022
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting.
CoRR, 2022
TS-MIoU: A Time Series Similarity Metric Without Mapping.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Solar Flare Forecasting with Deep Learning-based Time Series Classifiers.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Measuring Class-Imbalance Sensitivity of Deterministic Performance Evaluation Metrics.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Improving Solar Flare Prediction by Time Series Outlier Detection.
Proceedings of the Artificial Intelligence and Soft Computing, 2022
2021
Spatiotemporal event sequence discovery without thresholds.
GeoInformatica, 2021
How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events.
CoRR, 2021
Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms.
Proceedings of the Information Management and Big Data, 2021
Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods.
Proceedings of the 2021 International Conference on Data Mining, 2021
Multiscale IOU: A Metric for Evaluation of Salient Object Detection with Fine Structures.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Towards Synthetic Multivariate Time Series Generation for Flare Forecasting.
Proceedings of the Artificial Intelligence and Soft Computing, 2021
Tiered Clustering for Time Series Data.
Proceedings of the International Conference on Deep Learning, 2021
A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021
Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data.
SoftwareX, 2020
Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic.
J. Artif. Intell. Soft Comput. Res., 2020
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.
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CoRR, 2020
A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
All-Clear Flare Prediction Using Interval-based Time Series Classifiers.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
First Steps Toward Synthetic Sample Generation for Machine Learning Based Flare Forecasting.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Deep Neural Network-based Active Region Magnetogram Patch Super Resolution.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
On The Effectiveness of Imaging of Time Series for Flare Forecasting Problem.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Local Outlier Detection for Multi-type Spatio-temporal Trajectories.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
On the Mining of the Minimal Set of Time Series Data Shapelets.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Identification of Discriminative Subnetwork from fMRI-Based Complete Functional Connectivity Networks.
Int. J. Semantic Comput., 2019
A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission.
CoRR, 2019
Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Interpretable Feature Learning of Graphs using Tensor Decomposition.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
A Scalable Segmented Dynamic Time Warping for Time Series Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2019
Tensor Decomposition-based Node Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Solar Pre-Flare Classification with Time Series Profiling.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Toward Filament Segmentation Using Deep Neural Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Beyond accuracy - A SMART approach to site-based spatio-temporal data quality assessment.
Intell. Data Anal., 2018
Scalable kNN Search Approximation for Time Series Data.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Neuro-Ensemble for Time Series Data Classification.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
Time Series Distance Density Cluster with Statistical Preprocessing.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018
Tensor Decomposition for Neurodevelopmental Disorder Prediction.
Proceedings of the Brain Informatics - International Conference, 2018
Segmentation of Time Series in Improving Dynamic Time Warping.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Heuristics Significance of Neuro-Ensemble-based Time Series Classification.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks.
Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018
Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018
Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction.
Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018
2017
Measuring the Significance of Spatiotemporal Co-Occurrences.
ACM Trans. Spatial Algorithms Syst., 2017
An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities.
Proceedings of the Advances in Spatial and Temporal Databases, 2017
Cultivating Evolving Region Trajectory Datasets.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Distance and Density Clustering for Time Series Data.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Top-(R%, K) Spatiotemporal Event Sequence Mining.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Convolutional Neural Networks for Time Series Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2017
Solar Event Classification Using Deep Convolutional Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2017
Neural Video Compression Based on PVQ Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2017
A Region-Based Retrieval System for Heliophysics Imagery.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
Evaluating Preprocessing Strategies for Time Series Prediction using Deep Learning Architectures.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
Solar flare prediction using multivariate time series decision trees.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Multi-wavelength solar event detection using faster R-CNN.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
A time series classification-based approach for solar flare prediction.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
On the prediction of >100 MeV solar energetic particle events using GOES satellite data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Parallel computation of magnetic field parameters from HMI active region patches.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Improving the functionality of tamura directionality on solar images.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations.
ACM Trans. Spatial Algorithms Syst., 2016
SPARQL queries on RDF with fuzzy constraints and preferences.
J. Intell. Fuzzy Syst., 2016
Enabling high-dimensional range queries using kNN indexing techniques: approaches and empirical results.
J. Comb. Optim., 2016
Mining spatiotemporal co-occurrence patterns in non-relational databases.
GeoInformatica, 2016
Spatiotemporal event sequence mining from evolving regions.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
A Graph-Based Approach to Spatiotemporal Event Sequence Mining.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Rough Restricted Boltzmann Machine - New Architecture for Incomplete Input Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2016
Color-Based Large-Scale Image Retrieval with Limited Hardware Resources.
Proceedings of the Artificial Intelligence and Soft Computing, 2016
Neural Video Compression Based on RBM Scene Change Detection Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2016
Towards Feature Selection for Appearance Models in Solar Event Tracking.
Proceedings of the Artificial Intelligence and Soft Computing, 2016
A SMART approach to quality assessment of site-based spatio-temporal data.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
SOLEV: a video generation framework for solar events from mixed data sources (demo paper).
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
Discovering spatiotemporal event sequences.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2016
On the theory and practice of high-dimensional data indexing with iDistance.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
A data-driven analysis of interplanetary coronal mass ejecta and magnetic flux ropes.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Describing solar images with sparse coding for similarity search.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Spatio-temporal interpolation methods for solar events metadata.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Indexing spatiotemporal relations in solar event datasets.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
The SMART approach to comprehensive quality assessment of site-based spatial-temporal data.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016
Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016
Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016
2015
On visualization techniques for solar data mining.
Astron. Comput., 2015
Solar image parameter data from the SDO: Long-term curation and data mining.
Astron. Comput., 2015
Tracking Solar Events through Iterative Refinement.
Astron. Comput., 2015
Regional content-based image retrieval for solar images: Traditional versus modern methods.
Astron. Comput., 2015
Mining spatiotemporal co-occurrence patterns in solar datasets.
Astron. Comput., 2015
Special Section: Management, Search and Analysis of Solar Astronomy Big Data.
Astron. Comput., 2015
Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015
2014
Image retrieval on compressed images: Can we tell the difference?
Proceedings of the 4th International Conference on Image Processing Theory, 2014
Large-Scale Region-Based Multimedia Retrieval for Solar Images.
Proceedings of the Artificial Intelligence and Soft Computing, 2014
Quality control from the perspective of a near-real-time, spatial-temporal data aggregator and (re)distributor.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014
Mitigating the Curse of Dimensionality for Exact kNN Retrieval.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014
ERMO-DG: Evolving Region Moving Object Dataset Generator.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014
Approximating High-Dimensional Range Queries with kNN Indexing Techniques.
Proceedings of the Computing and Combinatorics - 20th International Conference, 2014
Massive labeled solar image data benchmarks for automated feature recognition.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Iterative refinement of multiple targets tracking of solar events.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Scalable solar image Retrieval with Lucene.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Storing Long-Lived Concurrent Schema and Data Versions in Relational Databases.
Proceedings of the New Trends in Database and Information Systems II, 2014
2013
Abstracting for Dimensionality Reduction in Text Classification.
Int. J. Intell. Syst., 2013
Comparison of two kinds of fuzzy arithmetic, LR and OFN, applied to fuzzy observation of the cofferdam water level.
Comput. Sci., 2013
A large-scale solar image dataset with labeled event regions.
Proceedings of the IEEE International Conference on Image Processing, 2013
On Using SIFT Descriptors for Image Parameter Evaluation.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Region-Based Querying of Solar Data Using Descriptor Signatures.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
A filter-and-refine approach to mine spatiotemporal co-occurrences.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013
Mining robust neighborhoods for quality control of sensor data.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming, 2013
Cluster Analysis for Optimal Indexing.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013
A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing.
Proceedings of the Big Data - 29th British National Conference on Databases, 2013
Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned.
Proceedings of the Big Data - 29th British National Conference on Databases, 2013
Improving the Performance of High-Dimensional kNN Retrieval through Localized Dataspace Segmentation and Hybrid Indexing.
Proceedings of the Advances in Databases and Information Systems, 2013
Spatiotemporal Co-occurrence Rules.
Proceedings of the New Trends in Databases and Information Systems, 2013
When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System.
Proceedings of the New Trends in Databases and Information Systems, 2013
Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events.
Proceedings of the New Trends in Databases and Information Systems, 2013
2012
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Evolving Kernel Functions with Particle Swarms and Genetic Programming.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012
Automated Weather Sensor Quality Control.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012
Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012
2011
Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases - Scalability Evaluation
CoRR, 2011
Semantically-Guided Clustering of Text Documents via Frequent Subgraphs Discovery.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011
On the surprisingly accurate transfer of image parameters between medical and solar images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Minimal data sets vs. synchronized data copies in a schema and data versioning system.
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management, 2011
2010
Heuristic algorithm for interpretation of multi-valued attributes in similarity-based fuzzy relational databases.
Int. J. Approx. Reason., 2010
Using Taxonomies to Perform Aggregated Querying over Imprecise Data.
Proceedings of the ICDMW 2010, 2010
An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010
Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010
Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010
2009
On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images.
Proceedings of the FUZZ-IEEE 2009, 2009
An Abstraction-Based Data Model for Information Retrieval.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
2008
Generating Concept Hierarchies from User Queries.
Proceedings of the Data Mining: Foundations and Practice, 2008
An example based image retrieval system for the TRACE repository.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Frequent pattern-growth approach for document organization.
Proceedings of the 2nd International Workshop on Ontologies and Information Systems for the Semantic Web, 2008
2007
Attribute-oriented fuzzy generalization in proximity- and similarity-based relational database systems.
Int. J. Intell. Syst., 2007
Measuring semantic similarity using wordnet-based context vectors.
Proceedings of the IEEE International Conference on Systems, 2007
Sense based organization of descriptive data.
Proceedings of the IEEE International Conference on Systems, 2007
Algorithm for Interpretation of Multi-valued Taxonomic Attributes in Similarity-Based Fuzzy Databases.
Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007
GDClust: A Graph-Based Document Clustering Technique.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Distributed Document Clustering Using Word-clusters.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
2006
Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction.
Proceedings of the Foundations and Novel Approaches in Data Mining, 2006
On Interpretation of Non-atomic Values and Induction of Decision Rules in Fuzzy Relational Databases.
Proceedings of the Artificial Intelligence and Soft Computing, 2006
Similarity-driven Defuzzification of Fuzzy Tuples for Entropy-based Data Classification Purposes.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Automated Generalization of Fuzzy Concept Hierarchies for Attribute-Oriented Induction Purposes.
Proceedings of the IASTED International Conference on Databases and Applications, 2006
Distributed hierarchical document clustering.
Proceedings of the IASTED International Conference on Advances in Computer Science and Technology, 2006
2005
Mining Multi-Level Associations with Fuzzy Hierarchies.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005
2004
Information filtering via fuzzy hierarchical induction.
Proceedings of the IEEE International Conference on Systems, 2004
Fuzzy Induction in Dynamic User Profiling for Information Filtering.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
2002
Travel Support System - an Agent-Biased Framework.
Proceedings of the International Conference on Internet Computing, 2002
2001
MICO, An Open Source CORBA Implementation.
Parallel Distributed Comput. Pract., 2001