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ORCIDOsmar R. Zaïane
Osmar Zaïane
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- affiliation: University of Alberta, Department of Computing Science
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2020 – today
- 2023
[j77]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): 1586-1604 (2023)- [j76]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): 6978-6991 (2023) - [j75]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): 663-673 (2023) - [j74]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: 106367 (2023) - [j73]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: 106521 (2023) - [j72]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: 106587 (2023) - [j71]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): 10 (2023) - [j70]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: 110739 (2023) - [j69]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): 112 (2023) - [j68]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): 1455-1466 (2023) - [j67]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): 4154-4165 (2023) - [c230]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: 48-62 - [c229]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: 387-402 - [c228]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: 470-485 - [c227]Paritosh Goyal, Chenyang Huang, Amine Trabelsi, Osmar Zaïane:
Exploring Preferential Label Smoothing for Neural Network-based Classifiers. Canadian AI 2023 - [c226]Maliha Sultana, Osmar R. Zaïane:
Exploring Dialog Act Recognition in Open Domain Conversational Agents. DaWaK 2023: 233-247 - [c225]Mohammad H. Motallebi, Md Tanvir Alam Anik, Osmar R. Zaïane:
Explaining Decisions of Black-Box Models Using BARBE. DEXA (2) 2023: 82-97 - [c224]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: 4199-4207 - [c223]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: 205-214 - [c222]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: 310-319 - [c221]Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. MICCAI (7) 2023: 671-681 - [c220]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: 7383-7393 - [c219]Michael Strobl, Amine Trabelsi, Osmar R. Zaïane:
FREDA: Flexible Relation Extraction Data Annotation. SAC 2023: 902-910 - [c218]Md Rayhan Kabir, Osmar Zaïane:
Classification by Frequent Association Rules. SAC 2023: 1217-1220 - [i37]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 abs/2301.04465 (2023) - [i36]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 abs/2301.06943 (2023) - [i35]Amir Salimi, Sunil Vasu Kalmady, Abram Hindle, Osmar Zaïane, Padma Kaul:
Exploring Best Practices for ECG Signal Processing in Machine Learning. CoRR abs/2311.04229 (2023) - 2022
- [j66]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: 105090 (2022) - [j65]Guangqi Wen, Peng Cao, Huiwen Bao, Wenju Yang, Tong Zheng, Osmar Zaïane:
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis. Comput. Biol. Medicine 142: 105239 (2022) - [j64]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: 105341 (2022) - [j63]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: 106772 (2022) - [j62]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): 1897-1913 (2022) - [j61]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): 2567-2588 (2022) - [j60]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): 353-375 (2022) - [j59]Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar R. Zaïane, Mo Yu, Edoardo Maria Ponti, Siva Reddy:
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. Trans. Assoc. Comput. Linguistics 10: 1473-1490 (2022) - [j58]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): 649-659 (2022) - [c217]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: 2441-2449 - [c216]Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li:
Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. AAAI 2022: 10776-10784 - [c215]Abhishek Dhankar, Osmar Zaïane, François Bolduc:
UofA-Truth at Factify 2022 : A Simple Approach to Multi-Modal Fact-Checking. DE-FACTIFY@AAAI 2022 - [c214]Md. Rayhanul Kabir, Osmar R. Zaïane:
Dynamic Ensemble Associative Learning. ASONAM 2022: 261-268 - [c213]Eric Austin, Amine Trabelsi, Christine Largeron, Osmar R. Zaïane:
Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks. AusDM 2022: 148-162 - [c212]Eric Austin, Osmar R. Zaïane, Christine Largeron:
Community Topic: Topic Model Inference by Consecutive Word Community Discovery. COLING 2022: 971-983 - [c211]Abhishek Nan, Anandh Perumal, Osmar R. Zaïane:
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning. DEXA (1) 2022: 167-180 - [c210]Md. Rayhanul Kabir, Samridhi Vaid, Nitakshi Sood, Osmar R. Zaïane:
Deep Associative Classifier. ICKG 2022: 113-122 - [c209]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: 426-434 - [c208]Michael Strobl, Amine Trabelsi, Osmar Zaïane:
Enhanced Entity Annotations for Multilingual Corpora. LREC 2022: 3732-3740 - [c207]Nawshad Farruque, Osmar Zaïane, Randy Goebel, Sudhakar Sivapalan:
DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers. LT-EDI 2022: 167-171 - [c206]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: 5271-5285 - [c205]Michael Strobl, Amine Trabelsi, Osmar Zaïane:
Named Entity Recognition for Partially Annotated Datasets. NLDB 2022: 299-306 - [i34]Abhishek Dhankar, Osmar R. Zaïane, François Bolduc:
UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking. CoRR abs/2203.07990 (2022) - [i33]Michael Strobl, Amine Trabelsi, Osmar Zaïane:
FREDA: Flexible Relation Extraction Data Annotation. CoRR abs/2204.07150 (2022) - [i32]Nouha Dziri, Sivan Milton, Mo Yu, Osmar Zaïane, Siva Reddy:
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models? CoRR abs/2204.07931 (2022) - [i31]Michael Strobl, Amine Trabelsi, Osmar Zaïane:
Named Entity Recognition for Partially Annotated Datasets. CoRR abs/2204.09081 (2022) - [i30]Nouha Dziri, Ehsan Kamalloo, Sivan Milton, Osmar Zaïane, Mo Yu, Edoardo Maria Ponti, Siva Reddy:
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue. CoRR abs/2204.10757 (2022) - [i29]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar Zaïane:
Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach. CoRR abs/2209.02765 (2022) - [i28]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane:
Deep Temporal Modelling of Clinical Depression through Social Media Text. CoRR abs/2211.07717 (2022) - 2021
- [j57]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: 104935 (2021) - [j56]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: 101957 (2021) - [j55]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): 900-921 (2021) - [c204]Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar Zaïane, Lili Mou:
A Globally Normalized Neural Model for Semantic Parsing. SPNLP@ACL-IJCNLP 2021: 61-66 - [c203]Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane:
Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks. BIBM 2021: 1270-1275 - [c202]Hamman Samuel, Fahim Hassan, Osmar R. Zaïane:
The Need for Medical Professionals to Join Patients in the Online Health Social Media Discourse. HEALTHINF 2021: 637-644 - [c201]Chengzhang Dong, Chenyang Huang, Osmar Zaïane, Lili Mou:
Simulated Annealing for Emotional Dialogue Systems. CIKM 2021: 2984-2988 - [c200]Nouha Dziri, Andrea Madotto, Osmar Zaïane, Avishek Joey Bose:
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. EMNLP (1) 2021: 2197-2214 - [c199]Esha, Osmar Zaïane:
Pairing Tweets with the Right Location. ICDEc 2021: 264-278 - [c198]Mohomed Shazan Mohomed Jabbar, Luke N. Kumar, Hamman Waqar Samuel, Mi-Young Kim, Sankalp Prabhakar, Randy Goebel, Osmar Zaïane:
DeepDup: Duplicate Question Detection in Community Question Answering. ICDLT 2021: 8-12 - [c197]Hamman Samuel, Osmar Zaïane, François Bolduc:
Evaluation of Applied Machine Learning for Health Misinformation Detection via Survey of Medical Professionals on Controversial Topics in Pediatrics. ICMHI 2021: 1-6 - [c196]Nawshad Farruque, Randy Goebel, Osmar R. Zaïane, Sudhakar Sivapalan:
Explainable Zero-Shot Modelling of Clinical Depression Symptoms from Text. ICMLA 2021: 1472-1477 - [c195]Abhishek Dhankar, Hamman Samuel, Fahim Hassan, Nawshad Farruque, François Bolduc, Osmar Zaïane:
Analysis of COVID-19 Misinformation in Social Media using Transfer Learning. ICTAI 2021: 880-885 - [c194]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: 4717-4724 - [i27]Nouha Dziri, Andrea Madotto, Osmar R. Zaïane, Avishek Joey Bose:
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. CoRR abs/2104.08455 (2021) - [i26]Nawshad Farruque, Chenyang Huang, Osmar R. Zaïane, Randy Goebel:
Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments. CoRR abs/2105.12364 (2021) - [i25]Chenyang Huang, Wei Yang, Yanshuai Cao, Osmar R. Zaïane, Lili Mou:
A Globally Normalized Neural Model for Semantic Parsing. CoRR abs/2106.03376 (2021) - [i24]Nawshad Farruque, Randy Goebel, Osmar Zaïane, Sudhakar Sivapalan:
STEP-EZ: Syntax Tree guided semantic ExPlanation for Explainable Zero-shot modeling of clinical depression symptoms from text. CoRR abs/2106.10928 (2021) - [i23]Nawshad Farruque, Randy Goebel, Osmar Zaïane:
A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language. CoRR abs/2106.12797 (2021) - [i22]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 abs/2109.04335 (2021) - [i21]Chengzhang Dong, Chenyang Huang, Osmar R. Zaïane, Lili Mou:
Simulated Annealing for Emotional Dialogue Systems. CoRR abs/2109.10715 (2021) - [i20]Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li:
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision. CoRR abs/2110.07515 (2021) - 2020
- [j54]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: 104096 (2020) - [j53]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): 841-866 (2020) - [j52]Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaïane, Martin Jägersand:
U2-Net: Going deeper with nested U-structure for salient object detection. Pattern Recognit. 106: 107404 (2020) - [c193]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: 743-750 - [c192]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: 1987-1994 - [c191]Nitakshi Sood, Osmar R. Zaïane:
Building a Competitive Associative Classifier. DaWaK 2020: 223-234 - [c190]Nitakshi Sood, Leepakshi Bindra, Osmar R. Zaïane:
Bi-Level Associative Classifier Using Automatic Learning on Rules. DEXA (1) 2020: 201-216 - [c189]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: 210-222 - [c188]Chang Liu, Christine Largeron, Osmar R. Zaïane, Shiva Zamani Gharaghooshi:
A Late-Fusion Approach to Community Detection in Attributed Networks. IDA 2020: 300-312 - [c187]Michael Strobl, Amine Trabelsi, Osmar R. Zaïane:
WEXEA: Wikipedia EXhaustive Entity Annotation. LREC 2020: 1951-1958 - [c186]Michael Strobl, Jörg Sander, Ricardo J. G. B. Campello, Osmar R. Zaïane:
Model-Based Clustering with HDBSCAN. ECML/PKDD (2) 2020: 364-379 - [c185]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: 367-373 - [i19]Abhishek Nan, Anandh Perumal, Osmar R. Zaïane:
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning. CoRR abs/2001.09403 (2020) - [i18]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 abs/2005.01908 (2020) - [i17]Xuebin Qin, Zichen Zhang, Chenyang Huang, Masood Dehghan, Osmar R. Zaïane, Martin Jägersand:
U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection. CoRR abs/2005.09007 (2020) - [i16]Anandh Perumal, Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane:
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION). CoRR abs/2006.16403 (2020) - [i15]Nitakshi Sood, Osmar R. Zaïane:
Building a Competitive Associative Classifier. CoRR abs/2007.01972 (2020)
2010 – 2019
- 2019
- [j51]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): 112:1-112:8 (2019) - [c184]Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane:
Evaluating Coherence in Dialogue Systems using Entailment. WNLP@ACL 2019: 146-148 - [c183]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: 1-5 - [c182]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: 1436-1442 - [c181]Amine Trabelsi, Osmar R. Zaïane:
Contrastive Reasons Detection and Clustering from Online Polarized Debates. CICLing (1) 2019: 181-198 - [c180]Nawshad Farruque, Chenyang Huang, Osmar Zaïane, Randy Goebel:
Basic and Depression Specific Emotions Identification in Tweets: Multi-label Classification Experiments. CICLing (2) 2019: 293-306 - [c179]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: 3-12 - [c178]Reza Sobhannejad, Liam Rourke, Osmar R. Zaïane:
Evaluating Image Training Systems for Medical Students. ICWL 2019: 323-326 - [c177]Amine Trabelsi, Osmar R. Zaïane:
PhAITV: A Phrase Author Interaction Topic Viewpoint Model for the Summarization of Reasons Expressed by Polarized Stances. ICWSM 2019: 482-492 - [c176]Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane:
Evaluating Coherence in Dialogue Systems using Entailment. NAACL-HLT (1) 2019: 3806-3812 - [c175]Chi Zhang, Osmar R. Zaïane:
Neighbor-Based Link Prediction with Edge Uncertainty. PAKDD (2) 2019: 462-474 - [c174]Nawshad Farruque, Osmar R. Zaïane, Randy Goebel:
Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs. ECML/PKDD (3) 2019: 359-375 - [c173]Mansour Saffar Mehrjardi, Amine Trabelsi, Osmar R. Zaïane:
Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. RANLP 2019: 1031-1040 - [c172]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: 49-53 - [c171]Samuel Suraj Bushi, Osmar R. Zaïane:
APNEA: Intelligent Ad-Bidding Using Sentiment Analysis. WI 2019: 76-83 - [i14]Chenyang Huang, Amine Trabelsi, Osmar R. Zaïane:
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT. CoRR abs/1904.00132 (2019) - [i13]Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane:
Evaluating Coherence in Dialogue Systems using Entailment. CoRR abs/1904.03371 (2019) - [i12]Amine Trabelsi, Osmar R. Zaïane:
Contrastive Reasons Detection and Clustering from Online Polarized Debate. CoRR abs/1908.00648 (2019) - [i11]Mansour Saffar Mehrjardi, Amine Trabelsi, Osmar R. Zaïane:
Self-Attentional Models Application in Task-Oriented Dialogue Generation Systems. CoRR abs/1909.05246 (2019) - [i10]Chenyang Huang, Amine Trabelsi, Xuebin Qin, Nawshad Farruque, Osmar R. Zaïane:
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation. CoRR abs/1911.02147 (2019) - 2018
- [j50]Peng Cao, Fulong Ren,