Osmar R. Zaïane

ORCID

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 158

Top Venues

CoRR

Comput. Biol. Medicine

DaWaK

ASONAM

Publications

Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction. ADMA (3) (2023)
Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane
Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. MICCAI (7) (2023)
Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement. ACM Multimedia (2023)
Guangqi Wen, Peng Cao, Haonan Wang, Hanlin Chen, Xiaoli Liu, Jinghui Xu, Osmar R. Zaïane
MS-SSD: multi-scale single shot detector for ship detection in remote sensing images. Appl. Intell. 53 (2) (2023)
Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. ADMA (4) (2023)
Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation. Health Inf. Sci. Syst. 11 (1) (2023)
Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning. Comput. Biol. Medicine 152 (2023)
Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. IJCAI (2023)
Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
Label Correlation Guided Feature Selection for Multi-label Learning. ADMA (4) (2023)
Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang
BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. MICCAI (8) (2023)
Mohammadmahdi Zafarmand, Yashar Talebirad, Eric Austin, Christine Largeron, Osmar R. Zaïane
Fast local community discovery relying on the strength of links. Soc. Netw. Anal. Min. 13 (1) (2023)
Ali Zamani, Matthew Reeson, Tyler Marshall, Mohamad Ali Gharaat, Alex Lambe Foster, Jasmine Noble, Osmar R. Zaïane
Intent and Entity Detection with Data Augmentation for a Mental Health Virtual Assistant Chatbot. IVA (2023)
Michael Strobl, Amine Trabelsi, Osmar R. Zaïane
FREDA: Flexible Relation Extraction Data Annotation. SAC (2023)
Lingwen Liu, Guangqi Wen, Peng Cao, Tianshun Hong, Jinzhu Yang, Xizhe Zhang, Osmar R. Zaïane
BrainTGL: A dynamic graph representation learning model for brain network analysis. Comput. Biol. Medicine 153 (2023)
Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. CoRR (2023)
Maliha Sultana, Osmar R. Zaïane
Exploring Dialog Act Recognition in Open Domain Conversational Agents. DaWaK (2023)
Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang
Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis. Int. J. Comput. Assist. Radiol. Surg. 18 (4) (2023)
Peng Cao, Guangqi Wen, Wenju Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
A unified framework of graph structure learning, graph generation and classification for brain network analysis. Appl. Intell. 53 (6) (2023)
Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks. MICCAI (1) (2023)
Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement. CoRR (2023)
Mohammad H. Motallebi, Md Tanvir Alam Anik, Osmar R. Zaïane
Explaining Decisions of Black-Box Models Using BARBE. DEXA (2) (2023)
Qingshan Hou, Peng Cao, Liyu Jia, Leqi Chen, Jinzhu Yang, Osmar R. Zaïane
Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading. IEEE J. Biomed. Health Informatics 27 (3) (2023)
Kai Zhang, Zhaoyang Mao, Peng Cao, Wei Liang, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
Label correlation guided borderline oversampling for imbalanced multi-label data learning. Knowl. Based Syst. 279 (2023)
Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network. Comput. Biol. Medicine 154 (2023)
Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane
Graph Self-Supervised Learning With Application to Brain Networks Analysis. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane
Exploring attention mechanism for graph similarity learning. Knowl. Based Syst. 276 (2023)
Abhishek Dhankar, An Bui, Jeremy Costello, Manpreet Kaur, Osmar R. Zaïane, François Bolduc
Automated Fact-Checking of Articles Related to Neurodevelopmental Disorders. ISPA/BDCloud/SocialCom/SustainCom (2022)
Wenju Yang, Guangqi Wen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
Collaborative learning of graph generation, clustering and classification for brain networks diagnosis. Comput. Methods Programs Biomed. 219 (2022)
Peng Cao, Qingshan Hou, Ruoxian Song, Haonan Wang, Osmar R. Zaïane
Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images. Comput. Biol. Medicine 144 (2022)
Abhishek Dhankar, Osmar R. Zaïane, François Bolduc
UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking. CoRR (2022)
Abhishek Nan, Anandh Perumal, Osmar R. Zaïane
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning. DEXA (1) (2022)
Peng Cao, Guangqi Wen, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Modeling the dynamic brain network representation for autism spectrum disorder diagnosis. Medical Biol. Eng. Comput. 60 (7) (2022)
Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. AAAI (2022)
Eric Austin, Amine Trabelsi, Christine Largeron, Osmar R. Zaïane
Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks. AusDM (2022)
Md. Rayhanul Kabir, Osmar R. Zaïane
Dynamic Ensemble Associative Learning. ASONAM (2022)
Md. Rayhanul Kabir, Samridhi Vaid, Nitakshi Sood, Osmar R. Zaïane
Deep Associative Classifier. ICKG (2022)
Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification. Medical Biol. Eng. Comput. 60 (9) (2022)
Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, MingYi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics 20 (2) (2022)
Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. AAAI (2022)
Eric Austin, Osmar R. Zaïane, Christine Largeron
Community Topic: Topic Model Inference by Consecutive Word Community Discovery. COLING (2022)
Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar R. Zaïane, Mo Yu, Edoardo M. Ponti, Siva Reddy
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. Trans. Assoc. Comput. Linguistics 10 (2022)
Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane
Deep Temporal Modelling of Clinical Depression through Social Media Text. CoRR (2022)
Shanshan Tang, Peng Cao, Min Huang, Xiaoli Liu, Osmar R. Zaïane
Dual feature correlation guided multi-task learning for Alzheimer's disease prediction. Comput. Biol. Medicine 140 (2022)
Prarthi Jain, Seemandhar Jain, Osmar R. Zaïane, Abhishek Srivastava
Anomaly Detection in Resource Constrained Environments With Streaming Data. IEEE Trans. Emerg. Top. Comput. Intell. 6 (3) (2022)
Nouha Dziri, Sivan Milton, Mo Yu, Osmar R. Zaïane, Siva Reddy
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? NAACL-HLT (2022)
Chengzhang Dong, Chenyang Huang, Osmar R. Zaïane, Lili Mou
Simulated Annealing for Emotional Dialogue Systems. CoRR (2021)
Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Sudhakar Sivapalan
Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text. ICMLA (2021)
Nawshad Farruque, Chenyang Huang, Osmar R. Zaïane, Randy Goebel
Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments. CoRR (2021)
Hamman Samuel, Fahim Hassan, Osmar R. Zaïane
The Need for Medical Professionals to Join Patients in the Online Health Social Media Discourse. HEALTHINF (2021)
Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Lili Mou, Osmar R. Zaïane
Seq2Emo: A Sequence to Multi-Label Emotion Classification Model. NAACL-HLT (2021)
Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision. CoRR (2021)
Mi-Young Kim, Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Hengshuai Yao, Peter Chun
A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence. Mach. Learn. Knowl. Extr. 3 (4) (2021)
Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network. Comput. Biol. Medicine 138 (2021)
Jinzhu Yang, Bo Wu, Lanting Li, Peng Cao, Osmar R. Zaïane
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT. Comput. Medical Imaging Graph. 92 (2021)
Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar R. Zaïane, Lili Mou
A Globally Normalized Neural Model for Semantic Parsing. CoRR (2021)
Nouha Dziri, Andrea Madotto, Osmar R. Zaïane, Avishek Joey Bose
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. CoRR (2021)
Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaïane
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer. CoRR (2021)
Michael Strobl, Jörg Sander, Ricardo J. G. B. Campello, Osmar R. Zaïane
Model-Based Clustering with HDBSCAN. ECML/PKDD (2) (2020)
Xuebin Qin, Zichen Vincent Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaïane, Martin Jägersand
-Net: Going Deeper with Nested U-Structure for Salient Object Detection. CoRR (2020)
Chang Liu, Christine Largeron, Osmar R. Zaïane, Shiva Zamani Gharaghooshi
A Late-Fusion Approach to Community Detection in Attributed Networks. IDA (2020)
Michael Strobl, Amine Trabelsi, Osmar R. Zaïane
WEXEA: Wikipedia EXhaustive Entity Annotation. LREC (2020)
Anandh Perumal, Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION). CoRR (2020)
Nitakshi Sood, Osmar R. Zaïane
Building a Competitive Associative Classifier. CoRR (2020)
Nitakshi Sood, Leepakshi Bindra, Osmar R. Zaïane
Bi-Level Associative Classifier Using Automatic Learning on Rules. DEXA (1) (2020)
Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images. BIBM (2020)
Shiva Zamani Gharaghooshi, Osmar R. Zaïane, Christine Largeron, Mohammadmahdi Zafarmand, Chang Liu
Addressing the Resolution Limit and the Field of View Limit in Community Mining. IDA (2020)
Xuebin Qin, Zichen Vincent Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaïane, Martin Jägersand
-Net: Going deeper with nested U-structure for salient object detection. Pattern Recognit. 106 (2020)
Nitakshi Sood, Osmar R. Zaïane
Building a Competitive Associative Classifier. DaWaK (2020)
Anandh Konar, Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
ANA at SemEval-2020 Task 4: MUlti-task learNIng for cOmmonsense reasoNing (UNION). SemEval@COLING (2020)
Lanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane
A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images. BIBM (2020)
Hao Jiang, Peng Cao, MingYi Xu, Jinzhu Yang, Osmar R. Zaïane
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction. Comput. Biol. Medicine 127 (2020)
Shahin Atakishiyev, Housam Khalifa Bashier Babiker, Nawshad Farruque, Randy Goebel, M.-Y. Kima, Mohammad H. Motallebi, Juliano Rabelo, Talat Iqba Syed, Osmar R. Zaïane
A multi-component framework for the analysis and design of explainable artificial intelligence. CoRR (2020)
Abhishek Nan, Anandh Perumal, Osmar R. Zaïane
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning. CoRR (2020)
Colin Bellinger, Shiven Sharma, Nathalie Japkowicz, Osmar R. Zaïane
Framework for extreme imbalance classification: SWIM - sampling with the majority class. Knowl. Inf. Syst. 62 (3) (2020)
Samuel Suraj Bushi, Osmar R. Zaïane
APNEA: Intelligent Ad-Bidding Using Sentiment Analysis. WI (2019)
Reza Sobhannejad, Liam Rourke, Osmar R. Zaïane
Evaluating Image Training Systems for Medical Students. ICWL (2019)
Chi Zhang, Osmar R. Zaïane
Neighbor-Based Link Prediction with Edge Uncertainty. PAKDD (2) (2019)
Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane
Evaluating Coherence in Dialogue Systems using Entailment. CoRR (2019)
Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Osmar R. Zaïane
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. CoRR (2019)
Nawshad Farruque, Osmar R. Zaïane, Randy Goebel
Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs. ECML/PKDD (3) (2019)
Amine Trabelsi, Osmar R. Zaïane
PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances. ICWSM (2019)
Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane
An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction. BIBM (2019)
Mansour Saffar Mehrjardi, Amine Trabelsi, Osmar R. Zaïane
Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. RANLP (2019)
Khanh Vu, Rebecca A. Clark, Colin Bellinger, Graham Erickson, Alvaro Osornio-Vargas, Osmar R. Zaïane, Yan Yuan
The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane
Evaluating Coherence in Dialogue Systems using Entailment. NAACL-HLT (1) (2019)
Mohammad Riazi, Osmar R. Zaïane, Tomoharu Takeuchi, Anthony Maltais, Johannes Günther, Micheal Lipsett
Detecting the Onset of Machine Failure Using Anomaly Detection Methods. DaWaK (2019)
Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT. CoRR (2019)
Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane
Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease. BIBM (2019)
Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT. SemEval@NAACL-HLT (2019)
Mansour Saffar Mehrjardi, Amine Trabelsi, Osmar R. Zaïane
Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. CoRR (2019)
Amine Trabelsi, Osmar R. Zaïane
Contrastive Reasons Detection and Clustering from Online Polarized Debate. CoRR (2019)
Amine Trabelsi, Osmar R. Zaïane
Contrastive Reasons Detection and Clustering from Online Polarized Debates. CICLing (1) (2019)
Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane
Evaluating Coherence in Dialogue Systems using Entailment. WNLP@ACL (2019)
Ren Wang, Osmar R. Zaïane
Sequence-Based Approaches to Course Recommender Systems. DEXA (1) (2018)
Hamman Samuel, Osmar R. Zaïane
MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning. Canadian Conference on AI (2018)
Amine Trabelsi, Osmar R. Zaïane
Unsupervised Model for Topic Viewpoint Discovery in Online Debates Leveraging Author Interactions. ICWSM (2018)
Mohomed Shazan Mohomed Jabbar, Luke N. Kumar, Hamman Samuel, Mi-Young Kim, Sankalp Prabhakar, Randy Goebel, Osmar R. Zaïane
On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering. CoRR (2018)
Hamman Samuel, Benyamin Noori, Sara Farazi, Osmar R. Zaïane
Context Prediction in the Social Web Using Applied Machine Learning: A Study of Canadian Tweeters. WI (2018)
Peng Cao, Fulong Ren, Chao Wan, Jinzhu Yang, Osmar R. Zaïane
Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis. Comput. Medical Imaging Graph. 69 (2018)
Chenyang Huang, Osmar R. Zaïane
Generating Responses Expressing Emotion in an Open-Domain Dialogue System. INSCI Workshops (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Osmar R. Zaïane