Osmar R. Zaïane

Orcid: 0000-0002-0060-5988

Affiliations:
  • University of Alberta, Department of Computing Science


According to our database1, Osmar R. Zaïane authored at least 336 papers between 1995 and 2024.

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Bibliography

2024
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network.
Data Sci. Eng., March, 2024

Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation.
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

2023
Fast local community discovery relying on the strength of links.
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

Graph Self-Supervised Learning With Application to Brain Networks Analysis.
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

BrainTGL: A dynamic graph representation learning model for brain network analysis.
Comput. Biol. Medicine, February, 2023

Exploring attention mechanism for graph similarity learning.
Knowl. Based Syst., 2023

Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation.
CoRR, 2023

Exploring Best Practices for ECG Signal Processing in Machine Learning.
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

FREDA: Flexible Relation Extraction Data Annotation.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Classification by Frequent Association Rules.
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

Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis.
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

Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation.
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

Explaining Decisions of Black-Box Models Using BARBE.
Proceedings of the Database and Expert Systems Applications, 2023

Exploring Dialog Act Recognition in Open Domain Conversational Agents.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

USIWO: A Local Community Search Algorithm for Uncertain Graphs.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

CFAR++: Enhancing Rule Based Classifier.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Exploring Preferential Label Smoothing for Neural Network-based Classifiers.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

Label Correlation Guided Feature Selection for Multi-label Learning.
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
Anomaly Detection in Resource Constrained Environments With Streaming Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

FaithDial: A Faithful Benchmark for Information-Seeking Dialogue.
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

Deep Temporal Modelling of Clinical Depression through Social Media Text.
CoRR, 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

Named Entity Recognition for Partially Annotated Datasets.
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

Enhanced Entity Annotations for Multilingual Corpora.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Automated Fact-Checking of Articles Related to Neurodevelopmental Disorders.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Deep Associative Classifier.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning.
Proceedings of the Database and Expert Systems Applications, 2022

Community Topic: Topic Model Inference by Consecutive Word Community Discovery.
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

Dynamic Ensemble Associative Learning.
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

UofA-Truth at Factify 2022 : A Simple Approach to Multi-Modal Fact-Checking.
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

Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision.
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

Seq2Emo: A Sequence to Multi-Label Emotion Classification Model.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Analysis of COVID-19 Misinformation in Social Media using Transfer Learning.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text.
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

DeepDup: Duplicate Question Detection in Community Question Answering.
Proceedings of the ICDLT 2021: 5th International Conference on Deep Learning Technologies, Qingdao, China, July 23, 2021

Pairing Tweets with the Right Location.
Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2021

Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Simulated Annealing for Emotional Dialogue Systems.
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

Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

A Globally Normalized Neural Model for Semantic Parsing.
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

ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION).
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

ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION).
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Model-Based Clustering with HDBSCAN.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

WEXEA: Wikipedia EXhaustive Entity Annotation.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Late-Fusion Approach to Community Detection in Attributed Networks.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Addressing the Resolution Limit and the Field of View Limit in Community Mining.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Bi-Level Associative Classifier Using Automatic Learning on Rules.
Proceedings of the Database and Expert Systems Applications, 2020

Building a Competitive Associative Classifier.
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

Contrastive Reasons Detection and Clustering from Online Polarized Debate.
CoRR, 2019

APNEA: Intelligent Ad-Bidding Using Sentiment Analysis.
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

Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems.
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

Neighbor-Based Link Prediction with Edge Uncertainty.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Evaluating Coherence in Dialogue Systems using Entailment.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Evaluating Image Training Systems for Medical Students.
Proceedings of the Advances in Web-Based Learning - ICWL 2019, 2019

Detecting the Onset of Machine Failure Using Anomaly Detection Methods.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2019

Contrastive Reasons Detection and Clustering from Online Polarized Debates.
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

2018
Relative Validity Criteria for Community Mining Algorithms.
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

Educational data mining applications and tasks: A survey of the last 10 years.
Educ. Inf. Technol., 2018

On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering.
CoRR, 2018

Augmenting Neural Response Generation with Context-Aware Topical Attention.
CoRR, 2018

Modular Networks for Validating Community Detection Algorithms.
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

Automatic Dialogue Generation with Expressed Emotions.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Generating Responses Expressing Emotion in an Open-Domain Dialogue System.
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

Sequence-Based Approaches to Course Recommender Systems.
Proceedings of the Database and Expert Systems Applications, 2018

Detecting Local Communities in Networks with Edge Uncertainty.
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

DANCer: dynamic attributed networks with community structure generation.
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

Exploiting statistically significant dependent rules for associative classification.
Intell. Data Anal., 2017

Formalizing clinical practice guideline for clinical decision support systems.
Health Informatics J., 2017

Current State of Text Sentiment Analysis from Opinion to Emotion Mining.
ACM Comput. Surv., 2017

Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control.
CoRR, 2017

A Hybrid Data Mining Approach for Product Complexity Analysis.
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

UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization.
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

Toward Personalized Relational Learning.
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

Sampling a Longer Life: Binary versus One-class classification Revisited.
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

PubMedReco: A Real-Time Recommender System for PubMed Citations.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Reciprocal Recommender System for Learners in Massive Open Online Courses (MOOCs).
Proceedings of the Advances in Web-Based Learning - ICWL 2017, 2017

Un générateur de réseaux dynamiques attribués avec structure communautaire.
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

A Course Recommender System based on Graduating Attributes.
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

Community question retrieval in health forums.
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
Mining contentious documents.
Knowl. Inf. Syst., 2016

On discovering co-location patterns in datasets: a case study of pollutants and child cancers.
GeoInformatica, 2016

Redundancy reduction: does it help associative classifiers?
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

DANCer: Dynamic Attributed Network with Community Structure Generator.
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

Sentiment Analysis of Breast Cancer Screening in the United States using Twitter.
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

Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning.
Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016), 2016

Automatic generation of relational attributes: An application to product returns.
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

Learning Statistically Significant Contrast Sets.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Recognition of Patient-Related Named Entities in Noisy Tele-Health Texts.
ACM Trans. Intell. Syst. Technol., 2015

SSRM: structural social role mining for dynamic social networks.
Soc. Netw. Anal. Min., 2015

Extraction and clustering of arguing expressions in contentious text.
Data Knowl. Eng., 2015

Generalization of clustering agreements and distances for overlapping clusters and network communities.
Data Min. Knowl. Discov., 2015

Rich Data: Risks, Issues, Controversies & Hype.
Proceedings of the 2nd Annual International Symposium on Information Management and Big Data, 2015

Evaluation of Community Mining Algorithms in the Presence of Attributes.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

Discovering Process in Curriculum Data to Provide Recommendation.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Ethics and Privacy in EDM.
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
Relative Validity Criteria for Community Mining Algorithms.
Encyclopedia of Social Network Analysis and Mining, 2014

Hybrid probabilistic sampling with random subspace for imbalanced data learning.
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

A Joint Topic Viewpoint Model for Contention Analysis.
Proceedings of the Natural Language Processing and Information Systems, 2014

Mining Contentious Documents Using an Unsupervised Topic Model Based Approach.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Detecting stock market manipulation using supervised learning algorithms.
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

Identifying Questions & Requests in Conversation.
Proceedings of the International C* Conference on Computer Science & Software Engineering, 2014

Community evolution prediction in dynamic social networks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Using triads to identify local community structure in social networks.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Community Dynamics: Event and Role Analysis in Social Network Analysis.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

Negative Association Rules.
Proceedings of the Frequent Pattern Mining, 2014

2013
Communities validity: methodical evaluation of community mining algorithms.
Soc. Netw. Anal. Min., 2013

On the application of multi-class classification in physical therapy recommendation.
Health Inf. Sci. Syst., 2013

On the Application of Multi-class Classification in Physical Therapy Recommendation.
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

A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

An Optimized Cost-Sensitive SVM for Imbalanced Data Learning.
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

Unsupervised graph-based Word Sense Disambiguation of biomedical documents.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

Analyzing the Impact of UMLS Relations on Word-sense Disambiguation Accuracy.
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

Measure oriented cost-sensitive SVM for 3D nodule detection.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Discovering Co-location Patterns in Datasets with Extended Spatial Objects.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

Utility of privacy preservation for health data publishing.
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

Patient information extraction in noisy tele-health texts.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Incremental local community identification in dynamic social networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Biomedical text disambiguation using UMLS.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Utility Enhancement for Privacy Preserving Health Data Publishing.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Top-10 Data Mining Case Studies.
Int. J. Inf. Technol. Decis. Mak., 2012

Guest editorial: special issue on a decade of mining the Web.
Data Min. Knowl. Discov., 2012

An Associative Classifier for Uncertain Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Visualizing Community Centric Network Layouts.
Proceedings of the 16th International Conference on Information Visualisation, 2012

Data Mining Applications for Fraud Detection in Securities Market.
Proceedings of the 2012 European Intelligence and Security Informatics Conference, 2012

Deciding on Feedback Polarity and Timing.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

Classifying Websites into Non-topical Categories.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

Findability in health information websites.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

PSST... privacy, safety, security, and trust in health information websites.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

Relative Validity Criteria for Community Mining Algorithms.
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

On Pruning for Top-K Ranking in Uncertain Databases.
Proc. VLDB Endow., 2011

Class separation through variance: a new application of outlier detection.
Knowl. Inf. Syst., 2011

Web service matching for RESTful web services.
Proceedings of the 13th IEEE International Symposium on Web Systems Evolution, 2011

Enhancement of incremental design for FPGAs using circuit similarity.
Proceedings of the 12th International Symposium on Quality Electronic Design, 2011

MODEC - Modeling and Detecting Evolutions of Communities.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

HCMS: conceptual description of a health content management system.
Proceedings of the 3rd Workshop on Software Engineering in Health Care, 2011

A Diffusion of Innovation-Based Closeness Measure for Network Associations.
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

Learning Actions in Complex Software Systems.
Proceedings of the Data Warehousing and Knowledge Discovery, 2011

Tracking changes in dynamic information networks.
Proceedings of the International Conference on Computational Aspects of Social Networks, 2011

Fastest association rule mining algorithm predictor (FARM-AP).
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
Detecting Communities in Social Networks Using Local Information.
Proceedings of the From Sociology to Computing in Social Networks - Theory, 2010

ONDOCS: Ordering Nodes to Detect Overlapping Community Structure.
Proceedings of the Data Mining for Social Network Data, 2010

Revisiting "Privacy Preserving Clustering by Data Transformation".
J. Inf. Data Manag., 2010

Privacy Preserving Clustering by Data Transformation.
J. Inf. Data Manag., 2010

A study on interestingness measures for associative classifiers.
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

Towards a definition of health informatics ethics.
Proceedings of the ACM International Health Informatics Symposium, 2010

Meerkat: Community Mining with Dynamic Social Networks.
Proceedings of the ICDMW 2010, 2010

Accelerating FPGA design space exploration using circuit similarity-based placement.
Proceedings of the International Conference on Field-Programmable Technology, 2010

An Occurrence Based Approach to Mine Emerging Sequences.
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
Clustering and Sequential Pattern Mining of Online Collaborative Learning Data.
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

Detecting Communities in Social Networks Using Max-Min Modularity.
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

Contrasting Sequence Groups by Emerging Sequences.
Proceedings of the Discovery Science, 12th International Conference, 2009

Detecting Communities in Large Networks by Iterative Local Expansion.
Proceedings of the International Conference on Computational Aspects of Social Networks, 2009

A Visual Data Mining Approach to Find Overlapping Communities in Networks.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

Local Community Identification in Social Networks.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008
WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report.
SIGKDD Explor., 2008

Clustering high dimensional data: A graph-based relaxed optimization approach.
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

ARC-UI: Visualization Tool for Associative Classifiers.
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

Le forage de réseaux sociaux.
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

Mining Research Communities in Bibliographical Data.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2007

Visual Data Mining of Web Navigational Data.
Proceedings of the 11th International Conference on Information Visualisation, 2007

Visualizing Web Navigation Data with Polygon Graphs.
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

Contrasting the Contrast Sets: An Alternative Approach.
Proceedings of the Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), 2007

Constraint-Based Mining of Web Page Associations.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006
Introduction to the special issue on successful real-world data mining applications.
SIGKDD Explor., 2006

A unified framework for protecting sensitive association rules in business collaboration.
Int. J. Bus. Intell. Data Min., 2006

Parallel Bifold: Large-scale parallel pattern mining with constraints.
Distributed Parallel Databases, 2006

Efficient Spatial Classification Using Decoupled Conditional Random Fields.
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Frequent Subsequence-Based Protein Localization.
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

Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment.
Proceedings of the 12th International Conference on Parallel and Distributed Systems, 2006

An Efficient Reference-Based Approach to Outlier Detection in Large Datasets.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Learning to Use a Learned Model: A Two-Stage Approach to Classification.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
WebKDD 2005: web mining and web usage analysis post-workshop report.
SIGKDD Explor., 2005

YAFIMA: Yet Another Frequent Itemset Mining Algorithm.
J. Digit. Inf. Manag., 2005

Considering Re-occurring Features in Associative Classifiers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

On Pruning and Tuning Rules for Associative Classifiers.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Pattern lattice traversal by selective jumps.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Bifold Constraint-Based Mining by Simultaneous Monotone and Anti-Monotone Checking.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Scrutinizing Frequent Pattern Discovery Performance.
Proceedings of the 21st International Conference on Data Engineering, 2005

Mining with Constraints by Pruning and Avoiding Ineffectual Processing.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

Relevance of Counting in Data Mining Tasks.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

Finding All Frequent Patterns Starting from the Closure.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2004
Visualizing and Discovering Web Navigational Patterns.
Proceedings of the Seventh International Workshop on the Web and Databases, 2004

Achieving Privacy Preservation when Sharing Data for Clustering.
Proceedings of the Secure Data Management, VLDB 2004 Workshop, 2004

Mining Positive and Negative Association Rules: An Approach for Confined Rules.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Secure Association Rule Sharing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Mission-Based Navigational Behaviour Modeling for Web Recommender Systems.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2004

Combining Usage, Content, and Structure Data to Improve Web Site Recommendation.
Proceedings of the E-Commerce and Web Technologies, 5th International Conference, 2004

COFI approach for mining frequent itemsets revisited.
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2004

An associative classifier based on positive and negative rules.
Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2004

Developing a Database for Proteomic Analysis of Extracytosolic Plant Proteins.
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

Algorithms for Balancing Privacy and Knowledge Discovery in Association Rule Mining.
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

Building image mosaics: an application of content-based image retrieval.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Protecting Sensitive Knowledge By Data Sanitization.
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

Parallel Association Rule Mining with Minimum Inter-Processor Communication.
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
MDM/KDD: Multimedia Data Mining for the Second Time.
SIGKDD Explor., 2002

MDM/KDD 2002: Multimedia Data Mining between Promises and Problems.
SIGKDD Explor., 2002

WEBKDD 2002 - Web Mining for Usage Patterns & Profiles.
SIGKDD Explor., 2002

Guest Editor's Introduction - Special Issue on Multimedia Data Mining.
J. Intell. Inf. Syst., 2002

On Data Clustering Analysis: Scalability, Constraints, and Validation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

Finding Similar Queries to Satisfy Searches Based on Query Traces.
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

Associative Classifiers for Medical Images.
Proceedings of the Mining Multimedia and Complex Data, 2002

Clustering Spatial Data in the Presence of Obstacles: a Density-Based Approach.
Proceedings of the International Database Engineering & Applications Symposium, 2002

Clustering Spatial Data when Facing Physical Constraints.
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

Text Document Categorization by Term Association.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Building a Recommender Agent for e-Learning Systems.
Proceedings of the International Conference on Computers in Education, 2002

Clustering Web Sessions by Sequence Alignment.
Proceedings of the 13th International Workshop on Database and Expert Systems Applications (DEXA 2002), 2002

Classifying Text Documents by Associating Terms With Text Categories.
Proceedings of the Database Technologies 2002, 2002

2001
Building virtual web views.
Data Knowl. Eng., 2001

On-Line Analytical Processing while Immersed in a Cave.
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

Fast Parallel Association Rule Mining without Candidacy Generation.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Towards Evaluating Learners' Behaviour in a Web-Based Distance Learning Environment.
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

Towards a Novel OLAP Interface for Distributed Data Warehouses.
Proceedings of the Data Warehousing and Knowledge Discovery, 2001

Immersed Visual Data Mining: Walking the Walk.
Proceedings of the Advances in Databases, 18th British National Conference on Databases, 2001

2000
Report on MDM/KDD2000: The 1st International Workshop on Multimedia Data Mining.
SIGKDD Explor., 2000

Multimedia data mining (workshop session - title only).
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

Mining Recurrent Items in Multimedia with Progressive Resolution Refinement.
Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28, 2000

Discovering spatial associations in images.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2000

1999
Illumination Invariance and Object Model in Content-Based Image and Video Retrieval.
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

MultiMediaMiner: A System Prototype for Multimedia Data Mining.
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

Mining multimedia data.
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
DBMiner: a system for data mining in relational databases and data warehouses.
Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative Research, 1997

1996
DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases.
Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data, 1996

DBMiner: A System for Mining Knowledge in Large Relational Databases.
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


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