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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
- 2025
[i46]Zahin Sufiyan, Shadan Golestan, Shotaro Miwa, Yoshihiro Mitsuka, Osmar R. Zaïane:
A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation. CoRR abs/2501.03405 (2025)- 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) - [c247]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 - [c246]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 - [c245]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 - [c244]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 - [c243]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 - [c242]Varshini Prakash, Alex Lambe Foster, Jasmine Noble, Osmar R. Zaïane:
Integrating Conversational Pathways with a Chatbot Builder Platform. iiWAS (2) 2024: 184-189 - [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) - [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, 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: 112-124 (2018) - [j49]Peng Cao, Xiaoli Liu, Hezi Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease. Comput. Methods Programs Biomed. 162: 19-45 (2018) - [j48]Behdad Bakhshinategh, Osmar R. Zaïane, Samira ElAtia, Donald Ipperciel:
Educational data mining applications and tasks: A survey of the last 10 years. Educ. Inf. Technol. 23(1): 537-553 (2018) - [j47]Mohomed Shazan Mohomed Jabbar, Colin Bellinger, Osmar R. Zaïane, Alvaro Osornio-Vargas:
Discovering co-location patterns with aggregated spatial transactions and dependency rules. Int. J. Data Sci. Anal. 5(2-3): 137-154 (2018) - [j46]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
ℓ2, 1-ℓ1 regularized nonlinear multi-task representation learning based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. 79: 195-215 (2018) - [c170]Hamman Samuel, Osmar R. Zaïane:
MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning. Canadian AI 2018: 108-120 - [c169]Chi Zhang, Osmar R. Zaïane:
Detecting Local Communities in Networks with Edge Uncertainty. ASONAM 2018: 9-16 - [c168]Ren Wang, Osmar R. Zaïane:
Sequence-Based Approaches to Course Recommender Systems. DEXA (1) 2018: 35-50 - [c167]Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaïane, Nathalie Japkowicz:
Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. ICDM 2018: 447-456 - [c166]Amine Trabelsi, Osmar R. Zaïane:
Unsupervised Model for Topic Viewpoint Discovery in Online Debates Leveraging Author Interactions. ICWSM 2018: 425-433 - [c165]Chenyang Huang, Osmar R. Zaïane:
Generating Responses Expressing Emotion in an Open-Domain Dialogue System. INSCI Workshops 2018: 100-112 - [c164]Chenyang Huang, Osmar R. Zaïane, Amine Trabelsi, Nouha Dziri:
Automatic Dialogue Generation with Expressed Emotions. NAACL-HLT (2) 2018: 49-54 - [c163]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: 230-237 - [r2]Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello:
Relative Validity Criteria for Community Mining Algorithms. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i9]Justin Fagnan, Afra Abnar, Reihaneh Rabbany, Osmar R. Zaïane:
Modular Networks for Validating Community Detection Algorithms. CoRR abs/1801.01229 (2018) - [i8]Nouha Dziri, Ehsan Kamalloo, Kory W. Mathewson, Osmar R. Zaïane:
Augmenting Neural Response Generation with Context-Aware Topical Attention. CoRR abs/1811.01063 (2018) - [i7]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 abs/1811.06596 (2018) - [i6]Chenyang Huang, Osmar R. Zaïane:
Generating Responses Expressing Emotion in an Open-domain Dialogue System. CoRR abs/1811.10990 (2018) - 2017
- [j45]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Min Huang, Jian Zhang, Osmar R. Zaïane:
Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures. Comput. Biol. Medicine 91: 21-37 (2017) - [j44]Fulong Ren, Peng Cao, Wei Li, Dazhe Zhao, Osmar R. Zaïane:
Ensemble based adaptive over-sampling method for imbalanced data learning in computer aided detection of microaneurysm. Comput. Medical Imaging Graph. 55: 54-67 (2017) - [j43]Peng Cao, Xiaoli Liu, Jian Zhang, Wei Li, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD. Comput. Methods Programs Biomed. 140: 211-231 (2017) - [j42]Ali Yadollahi, Ameneh Gholipour Shahraki, Osmar R. Zaïane:
Current State of Text Sentiment Analysis from Opinion to Emotion Mining. ACM Comput. Surv. 50(2): 25:1-25:33 (2017) - [j41]Wessam Gad El Rab, Osmar R. Zaïane, Mohammad El-Hajj:
Formalizing clinical practice guideline for clinical decision support systems. Health Informatics J. 23(2): 146-156 (2017) - [j40]Jundong Li, Osmar R. Zaïane:
Exploiting statistically significant dependent rules for associative classification. Intell. Data Anal. 21(5): 1155-1172 (2017) - [j39]Peng Cao, Xiaoli Liu, Jian Zhang, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
ℓ2, 1 norm regularized multi-kernel based joint nonlinear feature selection and over-sampling for imbalanced data classification. Neurocomputing 234: 38-57 (2017) - [j38]Christine Largeron, Pierre-Nicolas Mougel, Oualid Benyahia, Osmar R. Zaïane:
DANCer: dynamic attributed networks with community structure generation. Knowl. Inf. Syst. 53(1): 109-151 (2017) - [j37]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Wei Li, Min Huang, Osmar R. Zaïane:
A multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary nodules. Pattern Recognit. 64: 327-346 (2017) - [j36]Peng Cao, Xuanfeng Shan, Dazhe Zhao, Min Huang, Osmar R. Zaïane:
Sparse shared structure based multi-task learning for MRI based cognitive performance prediction of Alzheimer's disease. Pattern Recognit. 72: 219-235 (2017) - [c162]Reihaneh Rabbany, Osmar R. Zaïane:
A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters. AAAI 2017: 2492-2498 - [c161]Hamman W. Samuel, Mi-Young Kim, Sankalp Prabhakar, Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane:
Community question retrieval in health forums. BHI 2017: 77-80 - [c160]Xiaoli Liu, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
Group Guided Sparse Group Lasso Multi-task Learning for Cognitive Performance Prediction of Alzheimer's Disease. BI 2017: 202-212 - [c159]Behdad Bakhshinategh, Gerasimos Spanakis, Osmar R. Zaïane, Samira ElAtia:
A Course Recommender System based on Graduating Attributes. CSEDU (1) 2017: 347-354 - [c158]Koosha Golmohammadi, Osmar R. Zaïane:
Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation. DaWaK 2017: 327-342 - [c157]Oualid Benyahia, Christine Largeron, Baptiste Jeudy, Osmar R. Zaïane:
Un générateur de réseaux dynamiques attribués avec structure communautaire. EGC 2017: 449-452 - [c156]Sankalp Prabhakar, Gerasimos Spanakis, Osmar R. Zaïane:
Reciprocal Recommender System for Learners in Massive Open Online Courses (MOOCs). ICWL 2017: 157-167 - [c155]Hamman W. Samuel, Osmar R. Zaïane:
PubMedReco: A Real-Time Recommender System for PubMed Citations. MedInfo 2017: 207-211 - [c154]Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease. MICCAI (3) 2017: 195-202 - [c153]Colin Bellinger, Shiven Sharma, Osmar R. Zaïane, Nathalie Japkowicz:
Sampling a Longer Life: Binary versus One-class classification Revisited. LIDTA@PKDD/ECML 2017: 64-78 - [c152]Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane, Alvaro Osornio-Vargas:
Discovering spatial contrast and common sets with statistically significant co-location patterns. SAC 2017: 796-803 - [c151]Jundong Li, Liang Wu, Osmar R. Zaïane, Huan Liu:
Toward Personalized Relational Learning. SDM 2017: 444-452 - [c150]Hamman Samuel, Osmar R. Zaïane:
Iron Mask: Trust-Preserving Anonymity on the Face of Stigmatization in Social Networking Sites. TrustBus 2017: 66-80 - [c149]Kurt Driessens, Irena Koprinska, Olga C. Santos, Evgueni N. Smirnov, Kalina Yacef, Osmar R. Zaïane:
UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization. UMAP (Adjunct Publication) 2017: 125-127 - [e17]Rim Jallouli, Osmar R. Zaïane, Mohamed Anis Bach Tobji, Rym Srarfi Tabbane, Anton Nijholt:
Digital Economy. Emerging Technologies and Business Innovation - Second International Conference, ICDEc 2017, Sidi Bou Said, Tunisia, May 4-6, 2017, Proceedings. Lecture Notes in Business Information Processing 290, Springer 2017, ISBN 978-3-319-62736-6 [contents] - [i5]Sankalp Prabhakar, Gerasimos Spanakis, Osmar R. Zaïane:
Reciprocal Recommender System for Learners in Massive Open Online Courses (MOOCs). CoRR abs/1707.00331 (2017) - [i4]Wenying Ji, Simaan M. AbouRizk, Osmar R. Zaïane, Yitong Li:
A Hybrid Data Mining Approach for Product Complexity Analysis. CoRR abs/1710.10555 (2017) - [i3]Shangtong Zhang, Osmar R. Zaïane:
Comparing Deep Reinforcement Learning and Evolutionary Methods in Continuous Control. CoRR abs/1712.00006 (2017) - 2016
- [j35]Jundong Li, Aibek Adilmagambetov, Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane, Alvaro Osornio-Vargas, Osnat Wine:
On discovering co-location patterns in datasets: a case study of pollutants and child cancers. GeoInformatica 20(4): 651-692 (2016) - [j34]Amine Trabelsi, Osmar R. Zaïane:
Mining contentious documents. Knowl. Inf. Syst. 48(3): 537-560 (2016) - [c148]Mohomed Shazan Mohomed Jabbar, Osmar R. Zaïane:
Learning Statistically Significant Contrast Sets. Canadian AI 2016: 237-242 - [c147]Farrukh Ahmed, Michele Samorani, Colin Bellinger, Osmar R. Zaïane:
Advantage of integration in big data: Feature generation in multi-relational databases for imbalanced learning. IEEE BigData 2016: 532-539 - [c146]Michele Samorani, Farrukh Ahmed, Osmar R. Zaïane:
Automatic generation of relational attributes: An application to product returns. IEEE BigData 2016: 1454-1463 - [c145]Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane:
Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning. HIS 2016: 244-255 - [c144]Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaïane:
Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. HIS 2016: 256-266 - [c143]Kai O. Wong, Faith G. Davis, Osmar R. Zaïane, Yutaka Yasui:
Sentiment Analysis of Breast Cancer Screening in the United States using Twitter. KDIR 2016: 265-274 - [c142]Saeed Mohajeri, Hamman W. Samuel, Osmar R. Zaïane, Davood Rafiei:
BubbleNet: An innovative exploratory search and summarization interface with applicability in health social media. ICDEc 2016: 37-44 - [c141]Oualid Benyahia, Christine Largeron, Baptiste Jeudy, Osmar R. Zaïane:
DANCer: Dynamic Attributed Network with Community Structure Generator. ECML/PKDD (3) 2016: 41-44 - [c140]Luiza Antonie, Osmar R. Zaïane, Robert C. Holte:
Redundancy reduction: does it help associative classifiers? SAC 2016: 867-874 - 2015
- [j33]Reihaneh Rabbany, Osmar R. Zaïane:
Generalization of clustering agreements and distances for overlapping clusters and network communities. Data Min. Knowl. Discov. 29(5): 1458-1485 (2015) - [j32]Amine Trabelsi, Osmar R. Zaïane:
Extraction and clustering of arguing expressions in contentious text. Data Knowl. Eng. 100: 226-239 (2015) - [j31]Afra Abnar, Mansoureh Takaffoli, Reihaneh Rabbany, Osmar R. Zaïane:
SSRM: structural social role mining for dynamic social networks. Soc. Netw. Anal. Min. 5(1): 56:1-56:18 (2015) - [j30]Mi-Young Kim, Ying Xu, Osmar R. Zaïane, Randy Goebel:
Recognition of Patient-Related Named Entities in Noisy Tele-Health Texts. ACM Trans. Intell. Syst. Technol. 6(4): 59:1-59:23 (2015) - [c139]Jundong Li, Osmar R. Zaïane:
Associative Classification with Statistically Significant Positive and Negative Rules. CIKM 2015: 633-642 - [c138]Koosha Golmohammadi, Osmar R. Zaïane:
Time series contextual anomaly detection for detecting market manipulation in stock market. DSAA 2015: 1-10 - [c137]Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaïane:
Ethics and Privacy in EDM. EDM 2015: 13 - [c136]Ren Wang, Osmar R. Zaïane:
Discovering Process in Curriculum Data to Provide Recommendation. EDM 2015: 580-581 - [c135]Reihaneh Rabbany, Osmar R. Zaïane:
Evaluation of Community Mining Algorithms in the Presence of Attributes. PAKDD Workshops 2015: 152-163 - [c134]Osmar R. Zaïane:
Rich Data: Risks, Issues, Controversies & Hype. SIMBig 2015: 21-24 - 2014
- [j29]Peng Cao, Jinzhu Yang, Wei Li, Dazhe Zhao, Osmar R. Zaïane:
Ensemble-based hybrid probabilistic sampling for imbalanced data learning in lung nodule CAD. Comput. Medical Imaging Graph. 38(3): 137-150 (2014) - [j28]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Hybrid probabilistic sampling with random subspace for imbalanced data learning. Intell. Data Anal. 18(6): 1089-1108 (2014) - [c133]Justin Fagnan, Reihaneh Rabbany, Mansoureh Takaffoli, Eric Verbeek, Osmar R. Zaïane:
Community Dynamics: Event and Role Analysis in Social Network Analysis. ADMA 2014: 85-97 - [c132]Mansoureh Takaffoli, Reihaneh Rabbany, Osmar R. Zaïane:
Community evolution prediction in dynamic social networks. ASONAM 2014: 9-16 - [c131]Justin Fagnan, Osmar R. Zaïane, Denilson Barbosa:
Using triads to identify local community structure in social networks. ASONAM 2014: 108-112 - [c130]Afra Abnar, Mansoureh Takaffoli, Reihaneh Rabbany, Osmar R. Zaïane:
SSRM: Structural social role mining for dynamic social networks. ASONAM 2014: 289-296 - [c129]Kevin Quinn, Osmar R. Zaïane:
Identifying Questions & Requests in Conversation. C3S2E 2014: 10:1-10:6 - [c128]Jundong Li, Osmar R. Zaïane, Alvaro Osornio-Vargas:
Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects. DaWaK 2014: 124-135 - [c127]Koosha Golmohammadi, Osmar R. Zaïane, David Diaz:
Detecting stock market manipulation using supervised learning algorithms. DSAA 2014: 435-441 - [c126]Amine Trabelsi, Osmar R. Zaïane:
Mining Contentious Documents Using an Unsupervised Topic Model Based Approach. ICDM 2014: 550-559 - [c125]Amine Trabelsi, Osmar R. Zaïane:
A Joint Topic Viewpoint Model for Contention Analysis. NLDB 2014: 114-125 - [p3]Luiza Antonie, Jundong Li, Osmar R. Zaïane:
Negative Association Rules. Frequent Pattern Mining 2014: 135-145 - [r1]Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello:
Relative Validity Criteria for Community Mining Algorithms. Encyclopedia of Social Network Analysis and Mining 2014: 1562-1576 - [i2]Reihaneh Rabbany, Osmar R. Zaïane:
Generalization of Clustering Agreements and Distances for Overlapping Clusters and Network Communities. CoRR abs/1412.2601 (2014) - [i1]Jundong Li, Aibek Adilmagambetov, Osmar R. Zaïane, Alvaro Osornio-Vargas, Osnat Wine:
On Discovering Co-Location Patterns in Datasets: A Case Study of Pollutants and Child Cancers. CoRR abs/1412.7282 (2014) - 2013
- [j27]Jing Zhang, Peng Cao, Douglas P. Gross, Osmar R. Zaïane:
On the application of multi-class classification in physical therapy recommendation. Health Inf. Sci. Syst. 1(1): 15 (2013) - [j26]Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello:
Communities validity: methodical evaluation of community mining algorithms. Soc. Netw. Anal. Min. 3(4): 1039-1062 (2013) - [c124]Lengdong Wu, Hua He, Osmar R. Zaïane:
Utility Enhancement for Privacy Preserving Health Data Publishing. ADMA (2) 2013: 311-322 - [c123]Mansoureh Takaffoli, Reihaneh Rabbany, Osmar R. Zaïane:
Incremental local community identification in dynamic social networks. ASONAM 2013: 90-94 - [c122]Wessam Gad El Rab, Osmar R. Zaïane, Mohammad El-Hajj:
Biomedical text disambiguation using UMLS. ASONAM 2013: 943-947 - [c121]Saeed Mohajeri, Afsaneh Esteki, Osmar R. Zaïane, Davood Rafiei:
Innovative navigation of health discussion forums based on relationship extraction and medical ontologies. BIBM 2013: 13-14 - [c120]Mi-Young Kim, Ying Xu, Osmar R. Zaïane, Randy Goebel:
Patient information extraction in noisy tele-health texts. BIBM 2013: 326-329 - [c119]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection. CBMS 2013: 173-178 - [c118]Lengdong Wu, Hua He, Osmar R. Zaïane:
Utility of privacy preservation for health data publishing. CBMS 2013: 510-511 - [c117]Aibek Adilmagambetov, Osmar R. Zaïane, Alvaro Osornio-Vargas:
Discovering Co-location Patterns in Datasets with Extended Spatial Objects. DaWaK 2013: 84-96 - [c116]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Measure oriented cost-sensitive SVM for 3D nodule detection. EMBC 2013: 3981-3984 - [c115]Wessam Gad El Rab, Osmar R. Zaïane, Mohammad El-Hajj:
Analyzing the Impact of UMLS Relations on Word-sense Disambiguation Accuracy. EUSPN/ICTH 2013: 295-301 - [c114]Wessam Gad El Rab, Osmar R. Zaïane, Mohammad El-Hajj:
Unsupervised graph-based Word Sense Disambiguation of biomedical documents. Healthcom 2013: 649-652 - [c113]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning. HIS 2013: 35-40 - [c112]Peng Cao, Bo Li, Dazhe Zhao, Osmar R. Zaïane:
A novel cost sensitive neural network ensemble for multiclass imbalance data learning. IJCNN 2013: 1-8 - [c111]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study. IJCNN 2013: 1-8 - [c110]Jing Zhang, Douglas P. Gross, Osmar R. Zaïane:
On the Application of Multi-class Classification in Physical Therapy Recommendation. PAKDD Workshops 2013: 143-154 - [c109]Xiaoxiao Li, Jiyang Chen, Osmar R. Zaïane:
Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters. PAKDD (2) 2013: 197-208 - [c108]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
An Optimized Cost-Sensitive SVM for Imbalanced Data Learning. PAKDD (2) 2013: 280-292 - [c107]Peng Cao, Dazhe Zhao, Osmar R. Zaïane:
A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification. PAKDD Workshops 2013: 452-463 - [e16]Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar R. Zaïane, Min Yao, Wei Wang:
Advanced Data Mining and Applications, 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I. Lecture Notes in Computer Science 8346, Springer 2013, ISBN 978-3-642-53913-8 [contents] - [e15]Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar R. Zaïane, Min Yao, Wei Wang:
Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II. Lecture Notes in Computer Science 8347, Springer 2013, ISBN 978-3-642-53916-9 [contents] - [e14]Osmar R. Zaïane, Sandra Zilles:
Advances in Artificial Intelligence, 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, SK, Canada, May 28-31, 2013. Proceedings. Lecture Notes in Computer Science 7884, Springer 2013, ISBN 978-3-642-38456-1 [contents] - 2012
- [j25]Myra Spiliopoulou, Bamshad Mobasher, Olfa Nasraoui, Osmar R. Zaïane:
Guest editorial: special issue on a decade of mining the Web. Data Min. Knowl. Discov. 24(3): 473-477 (2012) - [j24]Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoffrey J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaïane:
Top-10 Data Mining Case Studies. Int. J. Inf. Technol. Decis. Mak. 11(2): 389-400 (2012) - [c106]Reihaneh Rabbany, Mansoureh Takaffoli, Justin Fagnan, Osmar R. Zaïane, Ricardo J. G. B. Campello:
Relative Validity Criteria for Community Mining Algorithms. ASONAM 2012: 258-265 - [c105]Hamman W. Samuel, Osmar R. Zaïane:
PSST... privacy, safety, security, and trust in health information websites. BHI 2012: 584-587 - [c104]Hamman W. Samuel, Osmar R. Zaïane, Jane Robertson Zaiane:
Findability in health information websites. BHI 2012: 709-712 - [c103]Chaman Thapa, Osmar R. Zaïane, Davood Rafiei, Arya M. Sharma:
Classifying Websites into Non-topical Categories. DaWaK 2012: 364-377 - [c102]Stuart Johnson, Osmar R. Zaïane:
Deciding on Feedback Polarity and Timing. EDM 2012: 220-221 - [c101]Koosha Golmohammadi, Osmar R. Zaïane:
Data Mining Applications for Fraud Detection in Securities Market. EISIC 2012: 107-114 - [c100]Justin Fagnan, Osmar R. Zaïane, Randy Goebel:
Visualizing Community Centric Network Layouts. IV 2012: 321-330 - [c99]Metanat HooshSadat, Osmar R. Zaïane:
An Associative Classifier for Uncertain Datasets. PAKDD (1) 2012: 342-353 - [e13]Kalina Yacef, Osmar R. Zaïane, Arnon Hershkovitz, Michael Yudelson, John C. Stamper:
Proceedings of the 5th International Conference on Educational Data Mining, Chania, Greece, June 19-21, 2012. www.educationaldatamining.org 2012, ISBN 978-1-74210-276-4 [contents] - 2011
- [j23]Andrew Foss, Osmar R. Zaïane:
Class separation through variance: a new application of outlier detection. Knowl. Inf. Syst. 29(3): 565-596 (2011) - [j22]Chonghai Wang, Li-Yan Yuan, Jia-Huai You, Osmar R. Zaïane, Jian Pei:
On Pruning for Top-K Ranking in Uncertain Databases. Proc. VLDB Endow. 4(10): 598-609 (2011) - [j21]Reihaneh Rabbany, Mansoureh Takaffoli, Osmar R. Zaïane:
Social network analysis and mining to support the assessment of on-line student participation. SIGKDD Explor. 13(2): 20-29 (2011) - [c98]Yifeng Liu, Zhaochen Guo, Xiaodi Ke, Osmar R. Zaïane:
Protein subcellular localization prediction with associative classification and multi-class SVM. BCB 2011: 493-495 - [c97]Metanat HooshSadat, Hamman W. Samuel, Sonal Patel, Osmar R. Zaïane:
Fastest association rule mining algorithm predictor (FARM-AP). C3S2E 2011: 43-50 - [c96]Mansoureh Takaffoli, Justin Fagnan, Farzad Sangi, Osmar R. Zaïane:
Tracking changes in dynamic information networks. CASoN 2011: 94-101 - [c95]Koosha Golmohammadi, Michael Smit, Osmar R. Zaïane:
Learning Actions in Complex Software Systems. DaWaK 2011: 367-381 - [c94]Reihaneh Rabbany, Mansoureh Takaffoli, Osmar R. Zaïane:
Analyzing Participation of Students in Online Courses Using Social Network Analysis Techniques. EDM 2011: 21-30 - [c93]Reihaneh Rabbany Khorasgani, Osmar R. Zaïane:
A Diffusion of Innovation-Based Closeness Measure for Network Associations. ICDM Workshops 2011: 381-388 - [c92]Hamman W. Samuel, Osmar R. Zaïane:
HCMS: conceptual description of a health content management system. SEHC@ICSE 2011: 17-23 - [c91]Mansoureh Takaffoli, Farzad Sangi, Justin Fagnan, Osmar R. Zaïane:
MODEC - Modeling and Detecting Evolutions of Communities. ICWSM 2011 - [c90]Xiaoyu Shi, Dahua Zeng, Yu Hu, Guohui Lin, Osmar R. Zaïane:
Enhancement of incremental design for FPGAs using circuit similarity. ISQED 2011: 243-250 - [c89]Reihaneh Rabbany Khorasgani, Eleni Stroulia, Osmar R. Zaïane:
Web service matching for RESTful web services. WSE 2011: 115-124 - [e12]Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu:
11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011. IEEE Computer Society 2011, ISBN 978-0-7695-4408-3 [contents] - [e11]Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu:
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011. IEEE Computer Society 2011, ISBN 978-0-7695-4409-0 [contents] - 2010
- [j20]Stanley R. M. Oliveira, Osmar R. Zaïane:
Privacy Preserving Clustering by Data Transformation. J. Inf. Data Manag. 1(1): 37-52 (2010) - [j19]Stanley R. M. Oliveira, Osmar R. Zaïane:
Revisiting "Privacy Preserving Clustering by Data Transformation". J. Inf. Data Manag. 1(1): 53-56 (2010) - [c88]Mi-Young Kim, Qing Dou, Osmar R. Zaïane, Randy Goebel:
Unsupervised mapping of sentences to biomedical concepts based on integrated information retrieval model and clustering. BCB 2010: 322-329 - [c87]Mi-Young Kim, Osmar R. Zaïane, Randy Goebel:
Natural Language Watermarking Based on Syntactic Displacement and Morphological Division. COMPSAC Workshops 2010: 164-169 - [c86]Kang Deng, Osmar R. Zaïane:
An Occurrence Based Approach to Mine Emerging Sequences. DaWak 2010: 275-284 - [c85]Xiaoyu Shi, Dahua Zeng, Yu Hu, Guohui Lin, Osmar R. Zaïane:
Accelerating FPGA design space exploration using circuit similarity-based placement. FPT 2010: 373-376 - [c84]Jiyang Chen, Justin Fagnan, Randy Goebel, Reihaneh Rabbany, Farzad Sangi, Mansoureh Takaffoli, Eric Verbeek, Osmar R. Zaïane:
Meerkat: Community Mining with Dynamic Social Networks. ICDM Workshops 2010: 1377-1380 - [c83]Hamman W. Samuel, Osmar R. Zaïane, Dick Sobsey:
Towards a definition of health informatics ethics. IHI 2010: 257-264 - [c82]Mojdeh Jalali Heravi, Osmar R. Zaïane:
A study on interestingness measures for associative classifiers. SAC 2010: 1039-1046 - [c81]Dean Cheng, John Sheldon, Marcelo Marcet-Palacios, Osmar R. Zaïane:
PROM-OOGLE: data mining and integration of on-line databases to discover gene promoters. SAC 2010: 1547-1551 - [p2]Jiyang Chen, Osmar R. Zaïane, Jörg Sander, Randy Goebel:
ONDOCS: Ordering Nodes to Detect Overlapping Community Structure. Data Mining for Social Network Data 2010: 125-148 - [p1]Jiyang Chen, Osmar R. Zaïane, Randy Goebel:
Detecting Communities in Social Networks Using Local Information. From Sociology to Computing in Social Networks 2010: 197-214
2000 – 2009
- 2009
- [j18]Hongqin Fan, Osmar R. Zaïane, Andrew Foss, Junfeng Wu:
Resolution-based outlier factor: detecting the top- n most outlying data points in engineering data. Knowl. Inf. Syst. 19(1): 31-51 (2009) - [j17]Dilhan Perera, Judy Kay, Irena Koprinska, Kalina Yacef, Osmar R. Zaïane:
Clustering and Sequential Pattern Mining of Online Collaborative Learning Data. IEEE Trans. Knowl. Data Eng. 21(6): 759-772 (2009) - [c80]Jiyang Chen, Osmar R. Zaïane, Randy Goebel:
Local Community Identification in Social Networks. ASONAM 2009: 237-242 - [c79]Jiyang Chen, Osmar R. Zaïane, Randy Goebel:
A Visual Data Mining Approach to Find Overlapping Communities in Networks. ASONAM 2009: 338-343 - [c78]Jiyang Chen, Osmar R. Zaïane, Randy Goebel:
Detecting Communities in Large Networks by Iterative Local Expansion. CASoN 2009: 105-112 - [c77]Kang Deng, Osmar R. Zaïane:
Contrasting Sequence Groups by Emerging Sequences. Discovery Science 2009: 377-384 - [c76]Andrew Foss, Osmar R. Zaïane, Sandra Zilles:
Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based Ranking. ICDM 2009: 139-148 - [c75]Jiyang Chen, Osmar R. Zaïane, Randy Goebel:
Detecting Communities in Social Networks Using Max-Min Modularity. SDM 2009: 978-989 - 2008
- [j16]Chi-Hoon Lee, Osmar R. Zaïane, Ho-Hyun Park, Jiayuan Huang, Russell Greiner:
Clustering high dimensional data: A graph-based relaxed optimization approach. Inf. Sci. 178(23): 4501-4511 (2008) - [j15]Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zaïane, Jaideep Srivastava, Bamshad Mobasher:
WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report. SIGKDD Explor. 10(2): 78-83 (2008) - [c74]Osmar R. Zaïane:
Le forage de réseaux sociaux. EGC 2008: 3 - [c73]S. Vahid Jazayeri, Osmar R. Zaïane:
Plant Protein Localization Using Discriminative and Frequent Partition-Based Subsequences. ICDM Workshops 2008: 228-237 - [c72]Andrew Foss, Osmar R. Zaïane:
Estimating True and False Positive Rates in Higher Dimensional Problems and Its Data Mining Applications. ICDM Workshops 2008: 673-681 - [c71]David Chodos, Osmar R. Zaïane:
ARC-UI: Visualization Tool for Associative Classifiers. IV 2008: 296-301 - [c70]Jiyang Chen, Osmar R. Zaïane, Randy Goebel:
An Unsupervised Approach to Cluster Web Search Results Based on Word Sense Communities. Web Intelligence 2008: 725-729 - 2007
- [j14]Stanley R. M. Oliveira, Osmar R. Zaïane:
A privacy-preserving clustering approach toward secure and effective data analysis for business collaboration. Comput. Secur. 26(1): 81-93 (2007) - [j13]Stanley R. M. Oliveira, Osmar R. Zaïane:
Privacy-Preserving Clustering to Uphold Business Collaboration: A Dimensionality Reduction Based Transformation Approach. Int. J. Inf. Secur. Priv. 1(2): 13-36 (2007) - [c69]Mohammad El-Hajj, Jiyang Chen, Osmar R. Zaïane, Randy Goebel:
Constraint-Based Mining of Web Page Associations. Australian Conference on Artificial Intelligence 2007: 315-326 - [c68]Amit Satsangi, Osmar R. Zaïane:
Contrasting the Contrast Sets: An Alternative Approach. IDEAS 2007: 114-119 - [c67]Abhishek Srivastava, Osmar R. Zaïane, Maria-Luiza Antonie:
Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification. IDEAS 2007: 141-148 - [c66]Jiyang Chen, Tong Zheng, William Thorne, Daniel Huntley, Osmar R. Zaïane, Randy Goebel:
Visualizing Web Navigation Data with Polygon Graphs. IV 2007: 232-237 - [c65]Jiyang Chen, Tong Zheng, William Thorne, Osmar R. Zaïane, Randy Goebel:
Visual Data Mining of Web Navigational Data. IV 2007: 649-656 - [c64]Osmar R. Zaïane, Jiyang Chen, Randy Goebel:
Mining Research Communities in Bibliographical Data. WebKDD/SNA-KDD 2007: 59-76 - [e10]Reda Alhajj, Hong Gao, Xue Li, Jianzhong Li, Osmar R. Zaïane:
Advanced Data Mining and Applications, Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007, Proceedings. Lecture Notes in Computer Science 4632, Springer 2007, ISBN 978-3-540-73870-1 [contents] - 2006
- [j12]Mohammad El-Hajj, Osmar R. Zaïane:
Parallel Bifold: Large-scale parallel pattern mining with constraints. Distributed Parallel Databases 20(3): 225-243 (2006) - [j11]Stanley R. M. Oliveira, Osmar R. Zaïane:
A unified framework for protecting sensitive association rules in business collaboration. Int. J. Bus. Intell. Data Min. 1(3): 247-287 (2006) - [j10]Gabor Melli, Osmar R. Zaïane, Brendan Kitts:
Introduction to the special issue on successful real-world data mining applications. SIGKDD Explor. 8(1): 1-2 (2006) - [c63]Maria-Luiza Antonie, Osmar R. Zaïane, Robert C. Holte:
Learning to Use a Learned Model: A Two-Stage Approach to Classification. ICDM 2006: 33-42 - [c62]Yaling Pei, Osmar R. Zaïane, Yong Gao:
An Efficient Reference-Based Approach to Outlier Detection in Large Datasets. ICDM 2006: 478-487 - [c61]Mohammad El-Hajj, Osmar R. Zaïane:
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment. ICPADS (1) 2006: 135-142 - [c60]Osmar R. Zaïane, Yang Wang, Randy Goebel, Gregory J. Taylor:
Frequent Subsequence-Based Protein Localization. BioDM 2006: 35-47 - [c59]Hongqin Fan, Osmar R. Zaïane, Andrew Foss, Junfeng Wu:
A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data. PAKDD 2006: 557-566 - [c58]Chi-Hoon Lee, Russell Greiner, Osmar R. Zaïane:
Efficient Spatial Classification Using Decoupled Conditional Random Fields. PKDD 2006: 272-283 - [e9]Xue Li, Osmar R. Zaïane, Zhanhuai Li:
Advanced Data Mining and Applications, Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings. Lecture Notes in Computer Science 4093, Springer 2006, ISBN 3-540-37025-0 [contents] - [e8]Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij M. Masand, Philip S. Yu:
Advances in Web Mining and Web Usage Analysis, 7th International Workshop on Knowledge Discovery on the Web, WebKDD 2005, Chicago, IL, USA, August 21, 2005. Revised Papers. Lecture Notes in Computer Science 4198, Springer 2006, ISBN 3-540-46346-1 [contents] - 2005
- [j9]Mohammad El-Hajj, Osmar R. Zaïane:
YAFIMA: Yet Another Frequent Itemset Mining Algorithm. J. Digit. Inf. Manag. 3(4): 244-249 (2005) - [j8]Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij M. Masand, Philip S. Yu:
WebKDD 2005: web mining and web usage analysis post-workshop report. SIGKDD Explor. 7(2): 139-142 (2005) - [c57]Osmar R. Zaïane:
Relevance of Counting in Data Mining Tasks. ADMA 2005: 14-18 - [c56]Mohammad El-Hajj, Osmar R. Zaïane:
Finding All Frequent Patterns Starting from the Closure. ADMA 2005: 67-74 - [c55]Mohammad El-Hajj, Osmar R. Zaïane:
Mining with Constraints by Pruning and Avoiding Ineffectual Processing. Australian Conference on Artificial Intelligence 2005: 1001-1004 - [c54]Osmar R. Zaïane, Mohammad El-Hajj, Yi Li, Stella Luk:
Scrutinizing Frequent Pattern Discovery Performance. ICDE 2005: 1109-1110 - [c53]Mohammad El-Hajj, Osmar R. Zaïane, Paul Nalos:
Bifold Constraint-Based Mining by Simultaneous Monotone and Anti-Monotone Checking. ICDM 2005: 146-153 - [c52]Osmar R. Zaïane, Mohammad El-Hajj:
Pattern lattice traversal by selective jumps. KDD 2005: 729-735 - [c51]Osmar R. Zaïane, Maria-Luiza Antonie:
On Pruning and Tuning Rules for Associative Classifiers. KES (3) 2005: 966-973 - [c50]Rafal Rak, Wojciech Stach, Osmar R. Zaïane, Maria-Luiza Antonie:
Considering Re-occurring Features in Associative Classifiers. PAKDD 2005: 240-248 - 2004
- [c49]Yang Wang, Osmar R. Zaïane, Randy Goebel, Jennafer L. Southron, Urmila Basu, Randy M. Whittal, Julie L. Stephens, Gregory J. Taylor:
Developing a Database for Proteomic Analysis of Extracytosolic Plant Proteins. DEXA Workshops 2004: 366-370 - [c48]Maria-Luiza Antonie, Osmar R. Zaïane:
An associative classifier based on positive and negative rules. DMKD 2004: 64-69 - [c47]Mohammad El-Hajj, Osmar R. Zaïane:
COFI approach for mining frequent itemsets revisited. DMKD 2004: 70-75 - [c46]Jia Li, Osmar R. Zaïane:
Combining Usage, Content, and Structure Data to Improve Web Site Recommendation. EC-Web 2004: 305-315 - [c45]Osmar R. Zaïane, Jia Li, Robert Hayward:
Mission-Based Navigational Behaviour Modeling for Web Recommender Systems. WebKDD 2004: 37-55 - [c44]Stanley R. M. Oliveira, Osmar R. Zaïane, Yücel Saygin:
Secure Association Rule Sharing. PAKDD 2004: 74-85 - [c43]Maria-Luiza Antonie, Osmar R. Zaïane:
Mining Positive and Negative Association Rules: An Approach for Confined Rules. PKDD 2004: 27-38 - [c42]Stanley R. M. Oliveira, Osmar R. Zaïane:
Achieving Privacy Preservation when Sharing Data for Clustering. Secure Data Management 2004: 67-82 - [c41]Jiyang Chen, Lisheng Sun, Osmar R. Zaïane, Randy Goebel:
Visualizing and Discovering Web Navigational Patterns. WebDB 2004: 13-18 - 2003
- [c40]Mohammad El-Hajj, Osmar R. Zaïane:
Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations. DaWaK 2003: 371-380 - [c39]Mohammad El-Hajj, Osmar R. Zaïane:
Parallel Association Rule Mining with Minimum Inter-Processor Communication. DEXA Workshops 2003: 519-523 - [c38]Osmar R. Zaïane, Mohammad El-Hajj:
COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation. FIMI 2003 - [c37]Stanley R. M. Oliveira, Osmar R. Zaïane:
Protecting Sensitive Knowledge By Data Sanitization. ICDM 2003: 613-616 - [c36]Yue Zhang, Mario A. Nascimento, Osmar R. Zaïane:
Building image mosaics: an application of content-based image retrieval. ICME 2003: 317-320 - [c35]Stanley R. M. Oliveira, Osmar R. Zaïane:
Algorithms for Balancing Privacy and Knowledge Discovery in Association Rule Mining. IDEAS 2003: 54-65 - [c34]William Cheung, Osmar R. Zaïane:
Incremental Mining of Frequent Patterns without Candidate Generation or Support Constraint. IDEAS 2003: 111-116 - [c33]Mohammad El-Hajj, Osmar R. Zaïane:
Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining. KDD 2003: 109-118 - [c32]Stanley R. M. Oliveira, Osmar R. Zaïane:
Privacy Preserving Clustering by Data Transformation. SBBD 2003: 304-318 - [e7]Osmar R. Zaïane, Jaideep Srivastava, Myra Spiliopoulou, Brij M. Masand:
WEBKDD 2002 - MiningWeb Data for Discovering Usage Patterns and Profiles, 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers. Lecture Notes in Computer Science 2703, Springer 2003, ISBN 3-540-20304-4 [contents] - [e6]Osmar R. Zaïane, Simeon J. Simoff, Chabane Djeraba:
Mining Multimedia and Complex Data, KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers. Lecture Notes in Computer Science 2797, Springer 2003, ISBN 3-540-20305-2 [contents] - 2002
- [j7]Osmar R. Zaïane:
Guest Editor's Introduction - Special Issue on Multimedia Data Mining. J. Intell. Inf. Syst. 19(1): 5-6 (2002) - [j6]Osmar R. Zaïane, Simeon J. Simoff:
MDM/KDD: Multimedia Data Mining for the Second Time. SIGKDD Explor. 3(2): 65-67 (2002) - [j5]Simeon J. Simoff, Chabane Djeraba, Osmar R. Zaïane:
MDM/KDD 2002: Multimedia Data Mining between Promises and Problems. SIGKDD Explor. 4(2): 118-121 (2002) - [j4]Brij M. Masand, Myra Spiliopoulou, Jaideep Srivastava, Osmar R. Zaïane:
WEBKDD 2002 - Web Mining for Usage Patterns & Profiles. SIGKDD Explor. 4(2): 125 (2002) - [c31]Osmar R. Zaïane, Maria-Luiza Antonie:
Classifying Text Documents by Associating Terms With Text Categories. Australasian Database Conference 2002 - [c30]Weinan Wang, Osmar R. Zaïane:
Clustering Web Sessions by Sequence Alignment. DEXA Workshops 2002: 394-398 - [c29]Osmar R. Zaïane:
Building a Recommender Agent for e-Learning Systems. ICCE 2002: 55-59 - [c28]Maria-Luiza Antonie, Osmar R. Zaïane:
Text Document Categorization by Term Association. ICDM 2002: 19-26 - [c27]Andrew Foss, Osmar R. Zaïane:
A Parameterless Method for Efficiently Discovering Clusters of Arbitrary Shape in Large Datasets. ICDM 2002: 179-186 - [c26]Osmar R. Zaïane, Chi-Hoon Lee:
Clustering Spatial Data when Facing Physical Constraints. ICDM 2002: 737-740 - [c25]Osmar R. Zaïane, Chi-Hoon Lee:
Clustering Spatial Data in the Presence of Obstacles: a Density-Based Approach. IDEAS 2002: 214-223 - [c24]Osmar R. Zaïane, Maria-Luiza Antonie, Alexandru Coman:
Mammography Classification By an Association Rule-based Classifier. MDM/KDD 2002: 62-69 - [c23]Maria-Luiza Antonie, Osmar R. Zaïane, Alexandru Coman:
Associative Classifiers for Medical Images. Revised Papers from MDM/KDD and PAKDD/KDMCD 2002: 68-83 - [c22]Osmar R. Zaïane, Alexander Strilets:
Finding Similar Queries to Satisfy Searches Based on Query Traces. OOIS Workshops 2002: 207-216 - [c21]Osmar R. Zaïane, Andrew Foss, Chi-Hoon Lee, Weinan Wang:
On Data Clustering Analysis: Scalability, Constraints, and Validation. PAKDD 2002: 28-39 - [e5]Mario A. Nascimento, M. Tamer Özsu, Osmar R. Zaïane:
International Database Engineering & Applications Symposium, IDEAS'02, July 17-19, 2002, Edmonton, Canada, Proceedings. IEEE Computer Society 2002, ISBN 0-7695-1638-6 [contents] - [e4]Simeon J. Simoff, Chabane Djeraba, Osmar R. Zaïane:
Proceedings of the Third International Workshop on Multimedia Data Mining, MDM/KDD'2002, July 23rd, 2002, Edmonton, Alberta, Canada. University of Alberta 2002 [contents] - [e3]Chabane Djeraba, Osmar R. Zaïane:
International Workshop on Knowledge Discovery in Multimedia and Complex Data (KDMCD 2002), in conjunction with the Sixth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-02), Taipei, Taiwan, May 6-8. 2002 [contents] - 2001
- [j3]Osmar R. Zaïane:
Building virtual web views. Data Knowl. Eng. 39(2): 143-163 (2001) - [c20]Ayman Ammoura, Osmar R. Zaïane, Yuan Ji:
Immersed Visual Data Mining: Walking the Walk. BNCOD 2001: 202-218 - [c19]Ayman Ammoura, Osmar R. Zaïane, Randy Goebel:
Towards a Novel OLAP Interface for Distributed Data Warehouses. DaWaK 2001: 174-185 - [c18]Hang Cui, Osmar R. Zaïane:
Hierarchically Structural Approach to Improving the Browsability of Web Search Engine Results. DEXA Workshop 2001: 956-960 - [c17]Osmar R. Zaïane, Jun Luo:
Towards Evaluating Learners' Behaviour in a Web-Based Distance Learning Environment. ICALT 2001: 357-360 - [c16]Osmar R. Zaïane, Mohammad El-Hajj, Paul Lu:
Fast Parallel Association Rule Mining without Candidacy Generation. ICDM 2001: 665-668 - [c15]Maria-Luiza Antonie, Osmar R. Zaïane, Alexandru Coman:
Application of Data Mining Techniques for Medical Image Classification. MDM/KDD 2001: 94-101 - [c14]Osmar R. Zaïane, Ayman Ammoura:
On-Line Analytical Processing while Immersed in a Cave. UIDIS 2001: 102-115 - [e2]Osmar R. Zaïane, Simeon J. Simoff:
Proceedings of the Second International Workshop on Multimedia Data Mining, MDM/KDD'2001, August 26th, 2001, San Francisco, CA, USA. University of Alberta 2001 [contents] - 2000
- [j2]Simeon J. Simoff, Osmar R. Zaïane:
Report on MDM/KDD2000: The 1st International Workshop on Multimedia Data Mining. SIGKDD Explor. 2(2): 103-105 (2000) - [c13]Osmar R. Zaïane, Jiawei Han:
Discovering spatial associations in images. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2000: 138-147 - [c12]Osmar R. Zaïane, Jiawei Han, Hua Zhu:
Mining Recurrent Items in Multimedia with Progressive Resolution Refinement. ICDE 2000: 461-470 - [c11]Bruce Matichuk, Osmar R. Zaïane:
Unsupervised Classification of Sound for Multimedia Indexing. MDM/KDD 2000: 31-36 - [c10]Simeon J. Simoff, Osmar R. Zaïane:
Multimedia data mining (workshop session - title only). KDD 2000: 534 - [e1]Simeon J. Simoff, Osmar R. Zaïane:
Proceedings of the International Workshop on Multimedia Data Mining, MDM/KDD'2000, August 20th, 2000, Boston, MA, USA. University of Alberta 2000 [contents]
1990 – 1999
- 1999
- [j1]Ze-Nian Li, Osmar R. Zaïane, Zinovi Tauber:
Illumination Invariance and Object Model in Content-Based Image and Video Retrieval. J. Vis. Commun. Image Represent. 10(3): 219-244 (1999) - 1998
- [c9]Osmar R. Zaïane, Man Xin, Jiawei Han:
Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs. ADL 1998: 19-29 - [c8]Osmar R. Zaïane, Jiawei Han, Ze-Nian Li, Jean Hou:
Mining multimedia data. CASCON 1998: 24 - [c7]Ze-Nian Li, Osmar R. Zaïane, Bing Yan:
C-BIRD: Content-Based Image Retrieval from Digital Libraries Using Illumination Invariance and Recognition Kernel. DEXA Workshop 1998: 361-366 - [c6]Osmar R. Zaïane, Jiawei Han, Ze-Nian Li, Sonny Han Seng Chee, Jenny Chiang:
MultiMediaMiner: A System Prototype for Multimedia Data Mining. SIGMOD Conference 1998: 581-583 - [c5]Osmar R. Zaïane, Jiawei Han:
WebML: Querying the World-Wide Web for Resources and Knowledge. Workshop on Web Information and Data Management 1998: 9-12 - 1997
- [c4]Jiawei Han, Jenny Chiang, Sonny Han Seng Chee, Jianping Chen, Qing Chen, Shan Cheng, Wan Gong, Micheline Kamber, Krzysztof Koperski, Gang Liu, Yijun Lu, Nebojsa Stefanovic, Lara Winstone, Betty Xia, Osmar R. Zaïane, Shuhua Zhang, Hua Zhu:
DBMiner: a system for data mining in relational databases and data warehouses. CASCON 1997: 8 - 1996
- [c3]Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Wan Gong, Krzysztof Koperski, Deyi Li, Yijun Lu, Amynmohamed Rajan, Nebojsa Stefanovic, Betty Xia, Osmar R. Zaïane:
DBMiner: A System for Mining Knowledge in Large Relational Databases. KDD 1996: 250-255 - [c2]Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Osmar R. Zaïane, Krzysztof Koperski:
DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases. SIGMOD Conference 1996: 550 - 1995
- [c1]Osmar R. Zaïane, Jiawei Han:
Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment. KDD 1995: 331-336
Coauthor Index
Maria-Luiza Antonie
aka: Luiza Antonie
aka: Luiza Antonie
[j88] [j87] [j82] [j80] [j79] [c246] [c245] [c243] [c241] [c240] [c239] [c238] [c237] [c236] [c235] [i45] [i44] [i42] [i40] [i39] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j68] [j67] [c234] [c233] [c232] [c226] [c223] [c222] [c221] [c220] [i38] [i37] [i35] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [c215] [j57] [j56] [c203] [i22] [j54] [c193] [c192] [c183] [c182] [j50] [j49] [j46] [j45] [j44] [j43] [j39] [j37] [j36] [c160] [c154] [c145] [c144] [j29] [j28] [j27] [c119] [c116] [c113] [c112] [c111] [c108] [c107]
Reihaneh Rabbany
aka: Reihaneh Rabbany Khorasgani
aka: Reihaneh Rabbany Khorasgani
[j88] [j87] [j82] [j80] [j79] [c243] [c241] [c240] [c239] [c238] [c237] [c236] [c235] [i45] [i44] [i42] [i39] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j68] [j67] [c234] [c233] [c232] [c226] [c223] [c222] [c221] [c220] [i38] [i37] [i35] [j63] [j62] [j61] [j60] [j57] [j56] [c203] [j54] [c193] [c192] [c183] [c182] [j50] [j49] [j46] [j45] [j37] [c160] [c154] [j29]
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