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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
- 2024
[j88]Yaqi Wang, Qingshan Hou, Peng Cao
, Jinzhu Yang, Osmar R. Zaïane:
Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation. Appl. Intell. 54(2): 1937-1956 (2024)- [j87]Kai Zhang, Wei Liang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Label correlation guided discriminative label feature learning for multi-label chest image classification. Comput. Methods Programs Biomed. 245: 108032 (2024) - [j86]Eric Austin, Shraddha Makwana, Amine Trabelsi, Christine Largeron, Osmar R. Zaïane:
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network. Data Sci. Eng. 9(1): 41-61 (2024) - [j85]Mehran Taghian, Shotaro Miwa, Yoshihiro Mitsuka, Johannes Günther, Shadan Golestan, Osmar R. Zaïane:
Explainability of deep reinforcement learning algorithms in robotic domains by using Layer-wise Relevance Propagation. Eng. Appl. Artif. Intell. 137: 109131 (2024) - [j84]Andy Wong, Mehran Taghian Jazi, Tomoharu Takeuchi, Johannes Günther, Osmar Zaïane:
General value functions for fault detection in multivariate time series data. Frontiers Robotics AI 11 (2024) - [j83]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar R. Zaïane:
Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach. Lang. Resour. Evaluation 58(3): 1013-1041 (2024) - [j82]Ruoxian Song, Peng Cao, Guangqi Wen, Pengfei Zhao, Ziheng Huang, Xizhe Zhang, Jinzhu Yang, Osmar R. Zaïane:
BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis. Medical Image Anal. 96: 103211 (2024) - [j81]Nawshad Farruque, Randy Goebel, Sudhakar Sivapalan, Osmar Zaïane:
Deep temporal modelling of clinical depression through social media text. Nat. Lang. Process. J. 6: 100052 (2024) - [j80]Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. Neural Networks 178: 106546 (2024) - [j79]Qingshan Hou, Yaqi Wang, Peng Cao, Shuai Cheng, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
A Collaborative Self-Supervised Domain Adaptation for Low-Quality Medical Image Enhancement. IEEE Trans. Medical Imaging 43(7): 2479-2494 (2024) - [c246]Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar Zaïane, Boxing Chen:
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection. ACL (Findings) 2024: 6322-6334 - [c245]Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar Zaïane:
SETTP: Style Extraction and Tunable Inference via Dual-Level Transferable Prompt Learning. ECAI 2024: 3907-3914 - [c244]Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar R. Zaïane:
Reusing Transferable Weight Increments for Low-resource Style Generation. EMNLP 2024: 2470-2488 - [c243]Chenyang Huang, Hao Zhou, Cameron Jen, Kangjie Zheng, Osmar R. Zaïane, Lili Mou:
A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers. EMNLP (Findings) 2024: 11572-11583 - [c242]Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang:
Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. ICASSP 2024: 2270-2274 - [c241]Junjie Liang, Peng Cao, Wenju Yang, Jinzhu Yang, Osmar R. Zaïane:
3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. MICCAI (9) 2024: 3-12 - [c240]Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement. MICCAI (3) 2024: 3-12 - [c239]Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar R. Zaïane:
A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images. MICCAI (3) 2024: 13-23 - [c238]Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaïane:
Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. MICCAI (2) 2024: 195-205 - [c237]Yaqi Wang, Peng Cao, Qingshan Hou, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation. MICCAI (9) 2024: 521-530 - [c236]Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation. MICCAI (9) 2024: 582-592 - [c235]Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. WSDM 2024: 443-451 - [i45]Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane, Yih Chung Tham:
A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images. CoRR abs/2404.04887 (2024) - [i44]Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane:
Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective. CoRR abs/2405.09777 (2024) - [i43]Chenyang Huang, Abbas Ghaddar, Ivan Kobyzev, Mehdi Rezagholizadeh, Osmar R. Zaïane, Boxing Chen:
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection. CoRR abs/2406.01919 (2024) - [i42]Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation. CoRR abs/2407.05248 (2024) - [i41]Sheila Schoepp, Mehran Taghian, Shotaro Miwa, Yoshihiro Mitsuka, Shadan Golestan, Osmar Zaïane:
Enhancing Hardware Fault Tolerance in Machines with Reinforcement Learning Policy Gradient Algorithms. CoRR abs/2407.15283 (2024) - [i40]Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar R. Zaïane:
SETTP: Style Extraction and Tunable Inference via Dual-level Transferable Prompt Learning. CoRR abs/2407.15556 (2024) - [i39]Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane:
Adaptive Mix for Semi-Supervised Medical Image Segmentation. CoRR abs/2407.21586 (2024) - 2023
- [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [j70]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: 110938 (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) - [c234]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 - [c233]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 - [c232]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 - [c231]Paritosh Goyal, Chenyang Huang, Amine Trabelsi, Osmar Zaïane:
Exploring Preferential Label Smoothing for Neural Network-based Classifiers. Canadian AI 2023 - [c230]Yashar Talebirad, Mohammadmahdi Zafarmand, Osmar R. Zaïane, Christine Largeron:
USIWO: A Local Community Search Algorithm for Uncertain Graphs. ASONAM 2023: 187-194 - [c229]Md Rayhan Kabir, Seeratpal Jaura, Osmar R. Zaïane:
CFAR++: Enhancing Rule Based Classifier. ASONAM 2023: 692-697 - [c228]Maliha Sultana, Osmar R. Zaïane:
Exploring Dialog Act Recognition in Open Domain Conversational Agents. DaWaK 2023: 233-247 - [c227]Mohammad H. Motallebi, Md. Tanvir Alam Anik, Osmar R. Zaïane:
Explaining Decisions of Black-Box Models Using BARBE. DEXA (2) 2023: 82-97 - [c226]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 - [c225]Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaïane, Hao Zhou, Lili Mou:
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. IJCNLP (Findings) 2023: 161-170 - [c224]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: 41:1-41:4 - [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 - [i38]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) - [i37]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) - [i36]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) - [i35]Haonan Wang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane:
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. CoRR abs/2312.15182 (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]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 - [c216]Abhishek Dhankar, Osmar Zaïane, François Bolduc:
UofA-Truth at Factify 2022 : A Simple Approach to Multi-Modal Fact-Checking. DE-FACTIFY@AAAI 2022 - [c215]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 - [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)