Osmar R. Zaïane
Orcid: 0000-0002-0060-5988Affiliations:
- University of Alberta, Department of Computing Science
According to our database1,
Osmar R. Zaïane
authored at least 358 papers
between 1995 and 2024.
Collaborative distances:
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Bibliography
2024
Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach.
Lang. Resour. Evaluation, September, 2024
A Collaborative Self-Supervised Domain Adaptation for Low-Quality Medical Image Enhancement.
IEEE Trans. Medical Imaging, July, 2024
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network.
Data Sci. Eng., March, 2024
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation.
Neural Networks, 2024
Nat. Lang. Process. J., 2024
BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis.
Medical Image Anal., 2024
Frontiers Robotics AI, 2024
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation.
Eng. Appl. Artif. Intell., 2024
Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms.
CoRR, 2024
Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective.
CoRR, 2024
Label correlation guided discriminative label feature learning for multi-label chest image classification.
Comput. Methods Programs Biomed., 2024
Appl. Intell., 2024
Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Information Integration and Web Intelligence, 2024
Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
SETTP: Style Extraction and Tunable Inference via Dual-Level Transferable Prompt Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Soc. Netw. Anal. Min., December, 2023
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation.
Health Inf. Sci. Syst., December, 2023
Label correlation guided borderline oversampling for imbalanced multi-label data learning.
Knowl. Based Syst., November, 2023
IEEE J. Biomed. Health Informatics, August, 2023
Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis.
Int. J. Comput. Assist. Radiol. Surg., April, 2023
Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading.
IEEE J. Biomed. Health Informatics, March, 2023
WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network.
Comput. Biol. Medicine, March, 2023
A unified framework of graph structure learning, graph generation and classification for brain network analysis.
Appl. Intell., March, 2023
Comput. Biol. Medicine, February, 2023
Knowl. Based Syst., 2023
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation.
CoRR, 2023
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement.
CoRR, 2023
Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning.
Comput. Biol. Medicine, 2023
MS-SSD: multi-scale single shot detector for ship detection in remote sensing images.
Appl. Intell., 2023
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Intent and Entity Detection with Data Augmentation for a Mental Health Virtual Assistant Chatbot.
Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, 2023
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Database and Expert Systems Applications, 2023
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Trans. Assoc. Comput. Linguistics, 2022
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis.
Neuroinformatics, 2022
Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification.
Medical Biol. Eng. Comput., 2022
Modeling the dynamic brain network representation for autism spectrum disorder diagnosis.
Medical Biol. Eng. Comput., 2022
Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach.
CoRR, 2022
UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking.
CoRR, 2022
Collaborative learning of graph generation, clustering and classification for brain networks diagnosis.
Comput. Methods Programs Biomed., 2022
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis.
Comput. Biol. Medicine, 2022
Dual feature correlation guided multi-task learning for Alzheimer's disease prediction.
Comput. Biol. Medicine, 2022
Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images.
Comput. Biol. Medicine, 2022
Proceedings of the Natural Language Processing and Information Systems, 2022
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers.
Proceedings of the Second Workshop on Language Technology for Equality, 2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022
Proceedings of the IEEE International Conference on Knowledge Graph, 2022
Proceedings of the Database and Expert Systems Applications, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks.
Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Workshop on Multi-Modal Fake News and Hate-Speech Detection (DE-FACTIFY 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI 2022), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence.
Mach. Learn. Knowl. Extr., 2021
A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language.
CoRR, 2021
STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text.
CoRR, 2021
Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments.
CoRR, 2021
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT.
Comput. Medical Imaging Graph., 2021
Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network.
Comput. Biol. Medicine, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Evaluation of Applied Machine Learning for Health Misinformation Detection via Survey of Medical Professionals on Controversial Topics in Pediatrics.
Proceedings of the ICMHI 2021: 5th International Conference on Medical and Health Informatics, 2021
Proceedings of the ICDLT 2021: 5th International Conference on Deep Learning Technologies, Qingdao, China, July 23, 2021
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
The Need for Medical Professionals to Join Patients in the Online Health Social Media Discourse.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021
2020
U<sup>2</sup>-Net: Going deeper with nested U-structure for salient object detection.
Pattern Recognit., 2020
Framework for extreme imbalance classification: SWIM - sampling with the majority class.
Knowl. Inf. Syst., 2020
CoRR, 2020
A multi-component framework for the analysis and design of explainable artificial intelligence.
CoRR, 2020
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction.
Comput. Biol. Medicine, 2020
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Proceedings of the Database and Expert Systems Applications, 2020
Proceedings of the Big Data Analytics and Knowledge Discovery, 2020
A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies.
BMC Medical Informatics Decis. Mak., 2019
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation.
CoRR, 2019
CoRR, 2019
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019
Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019
Proceedings of the Advances in Web-Based Learning - ICWL 2019, 2019
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019
Basic and Depression Specific Emotions Identification in Tweets: Multi-label Classification Experiments.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019
Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019
2018
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease.
Pattern Recognit., 2018
Discovering co-location patterns with aggregated spatial transactions and dependency rules.
Int. J. Data Sci. Anal., 2018
Educ. Inf. Technol., 2018
On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering.
CoRR, 2018
CoRR, 2018
Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.
Comput. Methods Programs Biomed., 2018
Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis.
Comput. Medical Imaging Graph., 2018
Context Prediction in the Social Web Using Applied Machine Learning: A Study of Canadian Tweeters.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Proceedings of the Internet Science, 2018
Unsupervised Model for Topic Viewpoint Discovery in Online Debates Leveraging Author Interactions.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018
Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance.
Proceedings of the IEEE International Conference on Data Mining, 2018
Proceedings of the Database and Expert Systems Applications, 2018
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning.
Proceedings of the Advances in Artificial Intelligence, 2018
2017
Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease.
Pattern Recognit., 2017
A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules.
Pattern Recognit., 2017
Knowl. Inf. Syst., 2017
ℓ<sub>2, 1</sub> norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification.
Neurocomputing, 2017
Intell. Data Anal., 2017
Health Informatics J., 2017
ACM Comput. Surv., 2017
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control.
CoRR, 2017
A ℓ<sub>2, 1</sub> norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD.
Comput. Methods Programs Biomed., 2017
Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm.
Comput. Medical Imaging Graph., 2017
Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.
Comput. Biol. Medicine, 2017
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017
Iron Mask: Trust-Preserving Anonymity on the Face of Stigmatization in Social Networking Sites.
Proceedings of the Trust, Privacy and Security in Digital Business, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Discovering spatial contrast and common sets with statistically significant co-location patterns.
Proceedings of the Symposium on Applied Computing, 2017
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017
Proceedings of the Advances in Web-Based Learning - ICWL 2017, 2017
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017
Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017
Proceedings of the CSEDU 2017, 2017
Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease.
Proceedings of the Brain Informatics - International Conference, 2017
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
On discovering co-location patterns in datasets: a case study of pollutants and child cancers.
GeoInformatica, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
BubbleNet: An innovative exploratory search and summarization interface with applicability in health social media.
Proceedings of the International Conference on Digital Economy, 2016
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
Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis.
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Advantage of integration in big data: Feature generation in multi-relational databases for imbalanced learning.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the Advances in Artificial Intelligence, 2016
2015
ACM Trans. Intell. Syst. Technol., 2015
Soc. Netw. Anal. Min., 2015
Data Knowl. Eng., 2015
Generalization of clustering agreements and distances for overlapping clusters and network communities.
Data Min. Knowl. Discov., 2015
Proceedings of the 2nd Annual International Symposium on Information Management and Big Data, 2015
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015
Proceedings of the 8th International Conference on Educational Data Mining, 2015
Proceedings of the 8th International Conference on Educational Data Mining, 2015
Time series contextual anomaly detection for detecting market manipulation in stock market.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Associative Classification with Statistically Significant Positive and Negative Rules.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Encyclopedia of Social Network Analysis and Mining, 2014
Intell. Data Anal., 2014
On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancers.
CoRR, 2014
Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD.
Comput. Medical Imaging Graph., 2014
Proceedings of the Natural Language Processing and Information Systems, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014
Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014
Proceedings of the International C* Conference on Computer Science & Software Engineering, 2014
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014
2013
Soc. Netw. Anal. Min., 2013
Health Inf. Sci. Syst., 2013
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013
Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
A novel cost sensitive neural network ensemble for multiclass imbalance data learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning.
Proceedings of the 13th International Conference on Hybrid Intelligent Systems, 2013
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013
Proceedings of the 4th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2013) and the 3rd International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH), 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the Data Warehousing and Knowledge Discovery, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
Innovative navigation of health discussion forums based on relationship extraction and medical ontologies.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013
2012
Data Min. Knowl. Discov., 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Proceedings of the 16th International Conference on Information Visualisation, 2012
Proceedings of the 2012 European Intelligence and Security Informatics Conference, 2012
Proceedings of the 5th International Conference on Educational Data Mining, 2012
Proceedings of the Data Warehousing and Knowledge Discovery, 2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
2011
Social network analysis and mining to support the assessment of on-line student participation.
SIGKDD Explor., 2011
Knowl. Inf. Syst., 2011
Proceedings of the 13th IEEE International Symposium on Web Systems Evolution, 2011
Proceedings of the 12th International Symposium on Quality Electronic Design, 2011
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011
Proceedings of the 3rd Workshop on Software Engineering in Health Care, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques.
Proceedings of the 4th International Conference on Educational Data Mining, 2011
Proceedings of the Data Warehousing and Knowledge Discovery, 2011
Proceedings of the International Conference on Computational Aspects of Social Networks, 2011
Proceedings of the Fourth International C* Conference on Computer Science & Software Engineering, 2011
Protein subcellular localization prediction with associative classification and multi-class SVM.
Proceedings of the ACM International Conference on Bioinformatics, 2011
2010
Proceedings of the From Sociology to Computing in Social Networks - Theory, 2010
Proceedings of the Data Mining for Social Network Data, 2010
J. Inf. Data Manag., 2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
PROM-OOGLE: data mining and integration of on-line databases to discover gene promoters.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
Proceedings of the ACM International Health Informatics Symposium, 2010
Proceedings of the ICDMW 2010, 2010
Proceedings of the International Conference on Field-Programmable Technology, 2010
Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010
Natural Language Watermarking Based on Syntactic Displacement and Morphological Division.
Proceedings of the Workshop Proceedings of the 34th Annual IEEE International Computer Software and Applications Conference, 2010
Unsupervised mapping of sentences to biomedical concepts based on integrated information retrieval model and clustering.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010
2009
IEEE Trans. Knowl. Data Eng., 2009
Resolution-based outlier factor: detecting the top- <i>n</i> most outlying data points in engineering data.
Knowl. Inf. Syst., 2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based Ranking.
Proceedings of the ICDM 2009, 2009
Proceedings of the Discovery Science, 12th International Conference, 2009
Proceedings of the International Conference on Computational Aspects of Social Networks, 2009
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009
2008
SIGKDD Explor., 2008
Inf. Sci., 2008
An Unsupervised Approach to Cluster Web Search Results Based on Word Sense Communities.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008
Proceedings of the 12th International Conference on Information Visualisation, 2008
Plant Protein Localization Using Discriminative and Frequent Partition-Based Subsequences.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Estimating True and False Positive Rates in Higher Dimensional Problems and Its Data Mining Applications.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008
2007
Privacy-Preserving Clustering to Uphold Business Collaboration: A Dimensionality Reduction Based Transformation Approach.
Int. J. Inf. Secur. Priv., 2007
A privacy-preserving clustering approach toward secure and effective data analysis for business collaboration.
Comput. Secur., 2007
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2007
Proceedings of the 11th International Conference on Information Visualisation, 2007
Proceedings of the 11th International Conference on Information Visualisation, 2007
Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification.
Proceedings of the Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), 2007
Proceedings of the Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), 2007
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
2006
SIGKDD Explor., 2006
A unified framework for protecting sensitive association rules in business collaboration.
Int. J. Bus. Intell. Data Min., 2006
Distributed Parallel Databases, 2006
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Proceedings of the Data Mining for Biomedical Applications, PAKDD 2006 Workshop, 2006
A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006
Proceedings of the 12th International Conference on Parallel and Distributed Systems, 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
SIGKDD Explor., 2005
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Proceedings of the 21st International Conference on Data Engineering, 2005
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005
2004
Proceedings of the Seventh International Workshop on the Web and Databases, 2004
Proceedings of the Secure Data Management, VLDB 2004 Workshop, 2004
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2004
Proceedings of the E-Commerce and Web Technologies, 5th International Conference, 2004
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2004
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2004
Proceedings of the 15th International Workshop on Database and Expert Systems Applications (DEXA 2004), with CD-ROM, 30 August, 2004
2003
Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003
Proceedings of the 7th International Database Engineering and Applications Symposium (IDEAS 2003), 2003
Incremental Mining of Frequent Patterns without Candidate Generation or Support Constraint.
Proceedings of the 7th International Database Engineering and Applications Symposium (IDEAS 2003), 2003
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation.
Proceedings of the FIMI '03, 2003
Proceedings of the 14th International Workshop on Database and Expert Systems Applications (DEXA'03), 2003
Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations.
Proceedings of the Data Warehousing and Knowledge Discovery, 5th International Conference, 2003
2002
SIGKDD Explor., 2002
J. Intell. Inf. Syst., 2002
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002
Proceedings of the Advances in Object-Oriented Information Systems, 2002
Mammography Classification By an Association Rule-based Classifier.
Proceedings of the Third International Workshop on Multimedia Data Mining, 2002
Proceedings of the Mining Multimedia and Complex Data, 2002
Proceedings of the International Database Engineering & Applications Symposium, 2002
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
Proceedings of the International Conference on Computers in Education, 2002
Proceedings of the 13th International Workshop on Database and Expert Systems Applications (DEXA 2002), 2002
Proceedings of the Database Technologies 2002, 2002
2001
Proceedings of the Second International Workshop on User Interfaces to Data Intensive Systems, 2001
Application of Data Mining Techniques for Medical Image Classification.
Proceedings of the Second International Workshop on Multimedia Data Mining, 2001
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001
Proceedings of the Proceedings IEEE International Conference on Advanced Learning Technology: Issues, 2001
Hierarchically Structural Approach to Improving the Browsability of Web Search Engine Results.
Proceedings of the 12th International Workshop on Database and Expert Systems Applications (DEXA 2001), 2001
Proceedings of the Data Warehousing and Knowledge Discovery, 2001
Proceedings of the Advances in Databases, 18th British National Conference on Databases, 2001
2000
SIGKDD Explor., 2000
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
Unsupervised Classification of Sound for Multimedia Indexing.
Proceedings of the International Workshop on Multimedia Data Mining, 2000
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2000
1999
J. Vis. Commun. Image Represent., 1999
1998
WebML: Querying the World-Wide Web for Resources and Knowledge.
Proceedings of the CIKM'98 First Workshop on Web Information and Data Management (WIDM'98), 1998
Proceedings of the SIGMOD 1998, 1998
C-BIRD: Content-Based Image Retrieval from Digital Libraries Using Illumination Invariance and Recognition Kernel.
Proceedings of the Ninth International Workshop on Database and Expert Systems Applications, 1998
Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative Research, November 30, 1998
Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs.
Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries, 1998
1997
Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative Research, 1997
1996
Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, 1996
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996
1995
Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995