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2020 – today
- 2024
[j48]Amran Bhuiyan
, Jimmy Xiangji Huang, Aijun An:
IGMG: Instance-guided multi-granularity for domain generalizable person re-identification. Comput. Vis. Image Underst. 240: 103905 (2024)- [j47]Wei Yuan, Zongyang Ma, Aijun An, Jimmy Xiangji Huang:
Topic-aware response selection for dialog systems. Nat. Lang. Process. J. 8: 100087 (2024) - [j46]Nastaran Babanejad, Heidar Davoudi, Ameeta Agrawal, Aijun An, Manos Papagelis:
The Role of Preprocessing for Word Representation Learning in Affective Tasks. IEEE Trans. Affect. Comput. 15(1): 254-272 (2024) - [j45]Shima Khoshraftar, Aijun An:
A Survey on Graph Representation Learning Methods. ACM Trans. Intell. Syst. Technol. 15(1): 19:1-19:55 (2024) - 2023
- [j44]Amin Omidvar, Aijun An:
Learning to Generate Popular Headlines. IEEE Access 11: 60904-60914 (2023) - [c122]Amin Omidvar, Aijun An:
Empowering Conversational Agents using Semantic In-Context Learning. BEA@ACL 2023: 766-771 - [c121]Ghazaleh Babanejad Dehaki, Aijun An, Heidar Davoudi:
A Hybrid Outbreak Detection using Ontology-based Data Collection from Social Media. BIBM 2023: 1022-1029 - [c120]Winston Chan, Aijun An, Heidar Davoudi:
A Case Study on ChatGPT Question Generation. IEEE Big Data 2023: 1647-1656 - [c119]Jingfeng Pan, Yunfei Peng, Kaiyu Li, Aijun An, Xiaohui Yu, Dariusz Jania:
Optimizing Data Migration Using Online Clustering. CASCON 2023: 173-178 - [c118]Hajer Ayadi, Jimmy X. Huang, Aijun An, Yiming Shao, Hao Zhou, Hossein Pourmodheji:
TAMG: Topology-Aware Multi-GPU Allocation via Deep Reinforcement Learning. CASCON 2023: 185-190 - [c117]Alireza Naeiji, Aijun An, Heidar Davoudi, Marjan Delpisheh, Muath Alzghool:
Question Generation Using Sequence-to-Sequence Model with Semantic Role Labels. EACL 2023: 2822-2834 - [c116]Wei Yuan, Martin Dimkovski, Aijun An:
Contrastive Fine-tuning on Few Shot Intent Detection with Topological Intent Tree. WWW (Companion Volume) 2023: 464-468 - 2022
- [c115]Shima Khoshraftar, Aijun An, Nastaran Babanejad:
Temporal Graph Representation Learning via Maximal Cliques. IEEE Big Data 2022: 606-615 - [i14]Reza Soltani, Uyen Trang Nguyen, Aijun An:
Data Capsule: A Self-Contained Data Model as an Access Policy Enforcement Strategy. CoRR abs/2202.07844 (2022) - [i13]Shima Khoshraftar, Aijun An:
A Survey on Graph Representation Learning Methods. CoRR abs/2204.01855 (2022) - 2021
- [j43]Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model. Mach. Learn. 110(10): 2867-2903 (2021) - [j42]Reza Soltani, Uyen Trang Nguyen, Aijun An:
A Survey of Self-Sovereign Identity Ecosystem. Secur. Commun. Networks 2021: 8873429:1-8873429:26 (2021) - [j41]Md. Tahmid Rahman Laskar, Jimmy Xiangji Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An, Stephen Chan, Lei Liu:
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means. ACM Trans. Cyber Phys. Syst. 5(4): 41:1-41:26 (2021) - [j40]Heidar Davoudi, Zana Rashidi, Aijun An, Morteza Zihayat, Gordon Edall:
Paywall Policy Learning in Digital News Media. IEEE Trans. Knowl. Data Eng. 33(10): 3394-3409 (2021) - [c114]Reza Soltani, Uyen Trang Nguyen, Aijun An:
Data Capsule: A Self-Contained Data Model as an Access Policy Enforcement Strategy. BRAINS 2021: 93-96 - [c113]Xingye Fan, Zana Rashidi, Bon Ryu, Hossein Pourmodheji, Aijun An, Junfeng Liu, Yonggang Hu:
GPU resource scheduling using CNN-based deep reinforcement learning. CASCON 2021: 196-201 - [c112]Shima Khoshraftar, Sedigheh Mahdavi, Aijun An:
Centrality-based Interpretability Measures for Graph Embeddings. DSAA 2021: 1-10 - [c111]Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model. DSAA 2021: 1-2 - [i12]Md. Tahmid Rahman Laskar, Jimmy X. Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An, Stephen Chan, Lei Liu:
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means. CoRR abs/2104.13190 (2021) - [i11]Reza Soltani, Uyen Trang Nguyen, Aijun An:
A Survey of Self-Sovereign Identity Ecosystem. CoRR abs/2111.02003 (2021) - 2020
- [j39]Tino Kreutzer, Patrick Vinck, Phuong N. Pham, Aijun An, Lora Appel, Eric DeLuca, Grace Tang, Muath Alzghool, Kusum Hachhethu, Bobi Morris, Sandie L. Walton-Ellery, John Crowley, James Orbinski:
Improving humanitarian needs assessments through natural language processing. IBM J. Res. Dev. 64(1/2): 9:1-9:14 (2020) - [c110]Nastaran Babanejad, Ameeta Agrawal, Aijun An, Manos Papagelis:
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks. ACL 2020: 5799-5810 - [c109]Sedigheh Mahdavi, Aijun An, Heidar Davoudi, Marjan Delpisheh, Emad Gohari:
Question-Worthy Sentence Selection for Question Generation. Canadian AI 2020: 388-400 - [c108]Mufleh Al-Shatnawi, Amir Asif, Vida Movahedi, Aijun An, Yonggang Hu, Junfeng Liu:
Multiple pedestrian tracking based on modified mask R-CNN and enhanced particle filter using an adaptive information driven motion model. CASCON 2020: 4-12 - [c107]Bon Ryu, Aijun An, Zana Rashidi, Junfeng Liu, Yonggang Hu:
Towards topology aware pre-emptive job scheduling with deep reinforcement learning. CASCON 2020: 83-92 - [c106]Nastaran Babanejad, Heidar Davoudi, Aijun An, Manos Papagelis:
Affective and Contextual Embedding for Sarcasm Detection. COLING 2020: 225-243 - [c105]Amin Omidvar, Hossein Pourmodheji, Aijun An, Gordon Edall:
Learning to Determine the Quality of News Headlines. ICAART (1) 2020: 401-409 - [c104]Reza Soltani, Uyen Trang Nguyen, Aijun An:
Decentralized and Privacy-Preserving Key Management Model. ISNCC 2020: 1-7 - [c103]Zana Rashidi, Kasra Ahmadi K. A., Aijun An, Xiaogang Wang:
Adaptive Momentum Coefficient for Neural Network Optimization. ECML/PKDD (2) 2020: 35-51 - [c102]Ameeta Agrawal, Aijun An, Manos Papagelis:
Leveraging Transitions of Emotions for Sarcasm Detection. SIGIR 2020: 1505-1508 - [i10]Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. CoRR abs/2001.01347 (2020)
2010 – 2019
- 2019
- [j38]Morteza Zihayat, Anteneh Ayanso, Xing Zhao, Heidar Davoudi, Aijun An:
A utility-based news recommendation system. Decis. Support Syst. 117: 14-27 (2019) - [c101]Reza Soltani, Uyen Trang Nguyen, Aijun An:
Practical Key Recovery Model for Self-Sovereign Identity Based Digital Wallets. DASC/PiCom/DataCom/CyberSciTech 2019: 320-325 - [c100]Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu:
Dynamic Graph Embedding via LSTM History Tracking. DSAA 2019: 119-127 - [c99]Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen:
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning. ICDCS 2019: 1507-1517 - [c98]Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. ICDM 2019: 1504-1509 - [c97]Heidar Davoudi, Aijun An, Gordon Edall:
Content-based Dwell Time Engagement Prediction Model for News Articles. NAACL-HLT (2) 2019: 226-233 - [c96]Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
Dynamic Joint Variational Graph Autoencoders. PKDD/ECML Workshops (1) 2019: 385-401 - [c95]Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis:
Leveraging Emotion Features in News Recommendations. INRA@RecSys 2019: 70-78 - [i9]Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen:
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning. CoRR abs/1908.11848 (2019) - [i8]Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
Dynamic Joint Variational Graph Autoencoders. CoRR abs/1910.01963 (2019) - [i7]Shima Khoshraftar, Sedigheh Mahdavi, Aijun An, Yonggang Hu, Junfeng Liu:
Dynamic Graph Embedding via LSTM History Tracking. CoRR abs/1911.01551 (2019) - [i6]Amin Omidvar, Hossein Pourmodheji, Aijun An, Gordon Edall:
Learning to Determine the Quality of News Headlines. CoRR abs/1911.11139 (2019) - 2018
- [j37]Jennifer McArthur, Nima Shahbazi, Ricky Fok, Christopher Raghubar, Brandon Bortoluzzi, Aijun An:
Machine learning and BIM visualization for maintenance issue classification and enhanced data collection. Adv. Eng. Informatics 38: 101-112 (2018) - [c94]Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta:
Effective Team Formation in Expert Networks. AMW 2018 - [c93]Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
dynnode2vec: Scalable Dynamic Network Embedding. IEEE BigData 2018: 3762-3765 - [c92]Ameeta Agrawal, Aijun An, Manos Papagelis:
Learning Emotion-enriched Word Representations. COLING 2018: 950-961 - [c91]Ricky Fok, Aijun An, Zana Rashidi, Xiaogang Wang:
Decoupling the Layers in Residual Networks. ICLR (Poster) 2018 - [c90]Reza Soltani, Uyen Trang Nguyen, Aijun An:
A New Approach to Client Onboarding Using Self-Sovereign Identity and Distributed Ledger. iThings/GreenCom/CPSCom/SmartData 2018: 1129-1136 - [c89]Heidar Davoudi, Aijun An, Morteza Zihayat, Gordon Edall:
Adaptive Paywall Mechanism for Digital News Media. KDD 2018: 205-214 - [c88]Mufleh Al-Shatnawi, Vida Movahedi, Amir Asif, Aijun An:
Improving Real-Time Pedestrian Detection Using Adaptive Confidence Thresholding and Inter-Frame Correlation. MMSP 2018: 1-5 - [c87]Ameeta Agrawal, Aijun An:
Affective Representations for Sarcasm Detection. SIGIR 2018: 1029-1032 - [c86]Amin Omidvar, Hui Jiang, Aijun An:
Using Neural Network for Identifying Clickbaits in Online News Media. SIMBig 2018: 220-232 - [i5]Amin Omidvar, Hui Jiang, Aijun An:
Using Neural Network for Identifying Clickbaits in Online News Media. CoRR abs/1806.07713 (2018) - [i4]Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
dynnode2vec: Scalable Dynamic Network Embedding. CoRR abs/1812.02356 (2018) - 2017
- [j36]Morteza Zihayat, Heidar Davoudi, Aijun An:
Mining significant high utility gene regulation sequential patterns. BMC Syst. Biol. 11(6): 109:1-109:14 (2017) - [j35]Ricky Fok, Aijun An, Xiaogang Wang:
Mining Evolving Data Streams with Particle Filters. Comput. Intell. 33(2): 147-180 (2017) - [j34]Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng, Chien Lin:
Efficiently mining high utility sequential patterns in static and streaming data. Intell. Data Anal. 21(S1): S103-S135 (2017) - [j33]Ricky Fok, Aijun An, Xiaogang Wang:
Geodesic and contour optimization using conformal mapping. J. Glob. Optim. 69(1): 23-44 (2017) - [j32]Morteza Zihayat, Yan Chen, Aijun An:
Memory-adaptive high utility sequential pattern mining over data streams. Mach. Learn. 106(6): 799-836 (2017) - [c85]Margot Lisa-Jing Yann, Yves Lespérance, Aijun An:
Rewards Structure in Games: Learning a Compact Representation for Action Space. AAAI Workshops 2017 - [c84]Mehdi Kargar, Aijun An, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu:
Meaningful Keyword Search over Databases with Complex Schema. AMW 2017 - [c83]Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta:
Authority-based Team Discovery in Social Networks. EDBT 2017: 498-501 - [c82]Yan Chen, Margot Lisa-Jing Yann, Heidar Davoudi, Joy Choi, Aijun An, Zhen Mei:
Contrast Pattern Based Collaborative Behavior Recommendation for Life Improvement. PAKDD (2) 2017: 106-118 - [c81]Heidar Davoudi, Morteza Zihayat, Aijun An:
Time-Aware Subscription Prediction Model for User Acquisition in Digital News Media. SDM 2017: 135-143 - [i3]Ricky Fok, Aijun An, Xiaogang Wang:
Optimization assisted MCMC. CoRR abs/1709.02888 (2017) - [i2]Ricky Fok, Aijun An, Xiaogang Wang:
Spontaneous Symmetry Breaking in Neural Networks. CoRR abs/1710.06096 (2017) - 2016
- [j31]Yan Chen, Aijun An:
Approximate Parallel High Utility Itemset Mining. Big Data Res. 6: 26-42 (2016) - [c80]Morteza Zihayat, Heidar Davoudi, Aijun An:
Top-k utility-based gene regulation sequential pattern discovery. BIBM 2016: 266-273 - [c79]Morteza Zihayat, Zane Zhenhua Hu, Aijun An, Yonggang Hu:
Distributed and parallel high utility sequential pattern mining. IEEE BigData 2016: 853-862 - [c78]Adetokunbo Makanju, Zahra Farzanyar, Aijun An, Nick Cercone, Zane Zhenhua Hu, Yonggang Hu:
Deep parallelization of parallel FP-growth using parent-child MapReduce. IEEE BigData 2016: 1422-1431 - [c77]Martin Dimkovski, Aijun An:
Computational Role of Astrocytes in Bayesian Inference and Probability Distribution Encoding. BIH 2016: 24-33 - [c76]Ameeta Agrawal, Aijun An:
Selective Co-occurrences for Word-Emotion Association. COLING 2016: 1579-1590 - [c75]Nima Shahbazi, Rohollah Soltani, Jarek Gryz, Aijun An:
Building FP-Tree on the Fly: Single-Pass Frequent Itemset Mining. MLDM 2016: 387-400 - [c74]Xing Tan, Jimmy Xiangji Huang, Aijun An:
Ranking Documents Through Stochastic Sampling on Bayesian Network-based Models: A Pilot Study. SIGIR 2016: 961-964 - [c73]Reza Soltani, Uyen Trang Nguyen, Yang Yang, Mohammad Reza Faghani, Alaa Yagoub, Aijun An:
A new algorithm for money laundering detection based on structural similarity. UEMCON 2016: 1-7 - [c72]Ameeta Agrawal, Raghavender Sahdev, Heidar Davoudi, Forouq Khonsari, Aijun An, Susan McGrath:
Detecting the Magnitude of Events from News Articles. WI 2016: 177-184 - [i1]Morteza Zihayat, Aijun An, Lukasz Golab, Mehdi Kargar, Jaroslaw Szlichta:
Authority-based Team Discovery in Social Networks. CoRR abs/1611.02992 (2016) - 2015
- [j30]Martin Dimkovski, Aijun An:
A Bayesian model for canonical circuits in the neocortex for parallelized and incremental learning of symbol representations. Neurocomputing 149: 1270-1279 (2015) - [j29]Mehdi Kargar, Aijun An:
Finding top-k, r-cliques for keyword search from graphs in polynomial delay. Knowl. Inf. Syst. 43(2): 249-280 (2015) - [c71]Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng:
Mining High Utility Sequential Patterns from Evolving Data Streams. ASE BD&SI 2015: 52:1-52:6 - [c70]Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu:
Meaningful keyword search in relational databases with large and complex schema. ICDE 2015: 411-422 - [c69]Heidar Davoudi, Aijun An:
Ontology-Based Topic Labeling and Quality Prediction. ISMIS 2015: 171-179 - 2014
- [j28]Morteza Zihayat, Aijun An:
Mining top-k high utility patterns over data streams. Inf. Sci. 285: 138-161 (2014) - [j27]Mehdi Kargar, Aijun An, Xiaohui Yu:
Efficient Duplication Free and Minimal Keyword Search in Graphs. IEEE Trans. Knowl. Data Eng. 26(7): 1657-1669 (2014) - [c68]Elnaz Delpisheh, Aijun An:
Topic Modeling Using Collapsed Typed Dependency Relations. PAKDD (2) 2014: 146-161 - [c67]Ameeta Agrawal, Aijun An:
Kea: Sentiment Analysis of Phrases Within Short Texts. SemEval@COLING 2014: 380-384 - [c66]Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu:
MeanKS: meaningful keyword search in relational databases with complex schema. SIGMOD Conference 2014: 905-908 - [c65]Morteza Zihayat, Mehdi Kargar, Aijun An:
Two-Phase Pareto Set Discovery for Team Formation in Social Networks. WI-IAT (1) 2014: 304-311 - 2013
- [j26]Dusan Stevanovic, Natalija Vlajic, Aijun An:
Detection of malicious and non-malicious website visitors using unsupervised neural network learning. Appl. Soft Comput. 13(1): 698-708 (2013) - [j25]Yang Liu, Xiaohui Yu, Aijun An, Xiangji Huang:
Riding the tide of sentiment change: sentiment analysis with evolving online reviews. World Wide Web 16(4): 477-496 (2013) - [c64]Mehdi Kargar, Aijun An, Nick Cercone, Kayvan Tirdad, Morteza Zihayat:
Signal detection in genome sequences using complexity based features. BIOKDD 2013: 25-33 - [c63]Aijun An, Mehdi Kargar, Morteza Zihayat:
Finding Affordable and Collaborative Teams from a Network of Experts. SDM 2013: 587-595 - [c62]Ameeta Agrawal, Aijun An:
Kea: Expression-level Sentiment Analysis from Twitter Data. SemEval@NAACL-HLT 2013: 530-534 - 2012
- [j24]Dusan Stevanovic, Aijun An, Natalija Vlajic:
Feature evaluation for web crawler detection with data mining techniques. Expert Syst. Appl. 39(10): 8707-8717 (2012) - [j23]Xiaohui Yu, Yang Liu, Xiangji Huang, Aijun An:
Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain. IEEE Trans. Knowl. Data Eng. 24(4): 720-734 (2012) - [c61]Mehdi Kargar, Aijun An:
Efficient Top-k Keyword Search in Graphs with Polynomial Delay. ICDE 2012: 1269-1272 - [c60]Mehdi Kargar, Aijun An, Morteza Zihayat:
Efficient Bi-objective Team Formation in Social Networks. ECML/PKDD (2) 2012: 483-498 - [c59]Ameeta Agrawal, Aijun An:
Unsupervised Emotion Detection from Text Using Semantic and Syntactic Relations. Web Intelligence 2012: 346-353 - 2011
- [j22]Yang Liu, Xiaohui Yu, Jimmy Xiangji Huang, Aijun An:
Combining integrated sampling with SVM ensembles for learning from imbalanced datasets. Inf. Process. Manag. 47(4): 617-631 (2011) - [j21]Nick Cercone, Xiangdong An, Jiye Li, Zhenmei Gu, Aijun An:
Finding best evidence for evidence-based best practice recommendations in health care: the initial decision support system design. Knowl. Inf. Syst. 29(1): 159-201 (2011) - [j20]Mehdi Kargar, Aijun An:
Keyword Search in Graphs: Finding r-cliques. Proc. VLDB Endow. 4(10): 681-692 (2011) - [c58]Bahareh Sarrafzadeh, Nikolay Yakovets, Nick Cercone, Aijun An:
Cross-Lingual Word Sense Disambiguation for Languages with Scarce Resources. Canadian AI 2011: 347-358 - [c57]Mehdi Kargar, Aijun An:
Discovering top-k teams of experts with/without a leader in social networks. CIKM 2011: 985-994 - [c56]Mehdi Kargar, Aijun An:
TeamExp: Top-k Team Formation in Social Networks. ICDM Workshops 2011: 1231-1234 - [c55]Bahareh Sarrafzadeh, Nikolay Yakovets, Nick Cercone, Aijun An:
Towards Automatic Acquisition of a Fully Sense Tagged Corpus for Persian. ISMIS 2011: 449-455 - [c54]Dusan Stevanovic, Aijun An, Natalija Vlajic:
Detecting Web Crawlers from Web Server Access Logs with Data Mining Classifiers. ISMIS 2011: 483-489 - [c53]Dusan Stevanovic, Natalija Vlajic, Aijun An:
Unsupervised Clustering of Web Sessions to Detect Malicious and Non-malicious Website Users. ANT/MobiWIS 2011: 123-131 - 2010
- [j19]Aijun An, Dominik Slezak:
Introduction to the special issue on advanced information retrieval and databases. J. Intell. Inf. Syst. 34(3): 223-225 (2010) - [c52]Mehdi Kargar, Aijun An:
Evaluation of different complexity measures for signal detection in genome sequences. BCB 2010: 422-425 - [c51]Mehdi Kargar, Aijun An:
The Effect of Sequence Complexity on the Construction of Protein-Protein Interaction Networks. Brain Informatics 2010: 308-319 - [c50]Damon Sotoudeh, Aijun An:
Partial drift detection using a rule induction framework. CIKM 2010: 769-778 - [c49]Xiangji Huang, Aijun An, Qinmin Hu:
Medical search and classification tools for recommendation. SIGIR 2010: 707 - [c48]Yang Liu, Xiaohui Yu, Xiangji Huang, Aijun An:
S-PLASA+: adaptive sentiment analysis with application to sales performance prediction. SIGIR 2010: 873-874 - [c47]Xiaohui Yu, Yang Liu, Aijun An:
An Adaptive Model for Probabilistic Sentiment Analysis. Web Intelligence 2010: 661-667 - [c46]Xiaohui Yu, Yang Liu, Xiangji Huang, Aijun An:
A quality-aware model for sales prediction using reviews. WWW 2010: 1217-1218 - [e4]Aijun An, Pawan Lingras, Sheila Petty, Runhe Huang:
Active Media Technology, 6th International Conference, AMT 2010, Toronto, Canada, August 28-30, 2010. Proceedings. Lecture Notes in Computer Science 6335, Springer 2010, ISBN 978-3-642-15469-0 [contents] - [e3]Jimmy X. Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, Aijun An:
Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010. ACM 2010, ISBN 978-1-4503-0099-5 [contents]
2000 – 2009
- 2009
- [j18]Bill Andreopoulos, Aijun An, Xiaogang Wang, Michael Schroeder:
A roadmap of clustering algorithms: finding a match for a biomedical application. Briefings Bioinform. 10(3): 297-314 (2009) - [j17]Bill Andreopoulos, Aijun An, Xiaogang Wang, Dirk Labudde:
Efficient layered density-based clustering of categorical data. J. Biomed. Informatics 42(2): 365-376 (2009) - [j16]Qian Wan, Aijun An:
Discovering Transitional Patterns and Their Significant Milestones in Transaction Databases. IEEE Trans. Knowl. Data Eng. 21(12): 1692-1707 (2009) - [c45]Hashmat Rohian, Aijun An, Jiashu Zhao, Xiangji Huang:
Discovering Temporal Associations among Significant Changes in Gene Expression. BIBM 2009: 419-423 - [c44]Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang:
Diverging patterns: discovering significant frequency change dissimilarities in large databases. CIKM 2009: 1473-1476 - [r1]Aijun An:
Classification Methods. Encyclopedia of Data Warehousing and Mining 2009: 196-201 - 2008
- [c43]Bill Andreopoulos, Aijun An, Xiangji Huang, Dirk Labudde:
Integration of Genomic, Proteomic and Biomedical Information on the Semantic Web. ER Workshops 2008: 33-42 - [c42]Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu:
Modeling and Predicting the Helpfulness of Online Reviews. ICDM 2008: 443-452 - [c41]Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu:
HelpMeter: A Nonlinear Model for Predicting the Helpfulness of Online Reviews. Web Intelligence 2008: 793-796 - [e2]Aijun An, Stan Matwin, Zbigniew W. Ras, Dominik Slezak:
Foundations of Intelligent Systems, 17th International Symposium, ISMIS 2008, Toronto, Canada, May 20-23, 2008, Proceedings. Lecture Notes in Computer Science 4994, Springer 2008, ISBN 978-3-540-68122-9 [contents] - 2007
- [j15]Bill Andreopoulos, Aijun An, Xiaogang Wang, Michalis Faloutsos, Michael Schroeder:
Clustering by common friends finds locally significant proteins mediating modules. Bioinform. 23(9): 1124-1131 (2007) - [j14]Bill Andreopoulos, Aijun An, Xiangji Huang, Xiaogang Wang:
Finding molecular complexes through multiple layer clustering of protein interaction networks. Int. J. Bioinform. Res. Appl. 3(1): 65-85 (2007) - [j13]Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang:
Clustering large software systems at multiple layers. Inf. Softw. Technol. 49(3): 244-254 (2007) - [j12]Yang Liu, Xiangji Huang, Aijun An:
Personalized recommendation with adaptive mixture of markov models. J. Assoc. Inf. Sci. Technol. 58(12): 1851-1870 (2007) - [c40]Qian Wan, Aijun An:
Transitional Patterns and Their Significant Milestones. ICDM 2007: 691-696 - [c39]Bill Andreopoulos, Aijun An, Xiaogang Wang:
Hierarchical Density-Based Clustering of Categorical Data and a Simplification. PAKDD 2007: 11-22 - [c38]Alexander Andreopoulos, Bill Andreopoulos, Aijun An, Xiaogang Wang:
Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways. PAKDD Workshops 2007: 174-185 - [c37]Linyan Wang, Aijun An:
Fast Counting with AV-Space for Efficient Rule Induction. SDM 2007: 15-26 - [c36]Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu:
ARSA: a sentiment-aware model for predicting sales performance using blogs. SIGIR 2007: 607-614 - [e1]Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang:
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science 4482, Springer 2007, ISBN 978-3-540-72529-9 [contents] - 2006
- [j11]Bill Andreopoulos, Aijun An, Xiaogang Wang:
Bi-level clustering of mixed categorical and numerical biomedical data. Int. J. Data Min. Bioinform. 1(1): 19-56 (2006) - [j10]Aijun An, Shakil M. Khan, Xiangji Huang:
Hierarchical grouping of association rules and its application to a real-world domain. Int. J. Syst. Sci. 37(13): 867-878 (2006) - [j9]Qian Wan, Aijun An:
An efficient approach to mining indirect associations. J. Intell. Inf. Syst. 27(2): 135-158 (2006) - [j8]Xiangji Huang, Qingsong Yao, Aijun An:
Applying language modeling to session identification from database trace logs. Knowl. Inf. Syst. 10(4): 473-504 (2006) - [c35]Qian Wan, Aijun An:
Efficient indirect association discovery using compact transaction databases. GrC 2006: 154-159 - [c34]Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon:
Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval. ICDM 2006: 295-306 - [c33]Qingsong Yao, Aijun An, Xiangji Huang:
Mining and Modeling Database User Access Patterns. ISMIS 2006: 493-503 - [c32]Yang Liu, Aijun An, Xiangji Huang:
Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles. PAKDD 2006: 107-118 - [c31]Xiangji Huang, Miao Wen, Aijun An, Yan Rui Huang:
A platform for Okapi-based contextual information retrieval. SIGIR 2006: 728 - [c30]Yu Fan, Xiangji Huang, Aijun An:
York University at TREC 2006: Enterprise Email Discussion Search. TREC 2006 - 2005
- [c29]Qingsong Yao, Aijun An, Xiangji Huang:
Finding and Analyzing Database User Sessions. DASFAA 2005: 851-862 - [c28]Qingsong Yao, Xiangji Huang, Aijun An:
A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data. DaWaK 2005: 254-264 - [c27]Yu Li, Aijun An:
Representing UML Snowflake Diagram from Integrating XML Data Using XML Schema. DEEC 2005: 103-111 - [c26]Qian Wan, Aijun An:
Compact transaction database for efficient frequent pattern mining. GrC 2005: 652-659 - [c25]Ying Zou, Aijun An, Xiangji Huang:
Evaluation and automatic selection of methods for handling missing data. GrC 2005: 728-733 - [c24]Bill Andreopoulos, Aijun An, Xiaogang Wang:
Clustering mixed numerical and low quality categorical data: significance metrics on a yeast example. IQIS 2005: 87-98 - [c23]Qingsong Yao, Aijun An, Xiangji Huang:
A Distance-Based Algorithm for Clustering Database User Sessions. ISMIS 2005: 562-572 - [c22]Wei Cao, Aijun An, Xiangji Huang:
York University at TREC 2005: SPAM Track. TREC 2005 - [c21]Miao Wen, Xiangji Huang, Aijun An, Yan Rui Huang:
York University at TREC 2005: HARD Track. TREC 2005 - [c20]Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang:
Multiple Layer Clustering of Large Software Systems. WCRE 2005: 79-88 - 2004
- [j7]Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans:
Dynamic Web log session identification with statistical language models. J. Assoc. Inf. Sci. Technol. 55(14): 1290-1303 (2004) - [j6]Aijun An, Yanhui Huang, Xiangji Huang, Nick Cercone:
Feature Selection with Rough Sets for Web Page Classification. Trans. Rough Sets 2: 1-13 (2004) - [c19]Qingsong Yao, Aijun An:
Characterizing Database User's Access Patterns. DEXA 2004: 528-538 - [c18]Yang Liu, Xiangji Huang, Aijun An, Gary Promhouse:
Clustering Web Surfers with Probabilistic Models in a Real Application. Web Intelligence 2004: 761-765 - 2003
- [c17]Qian Wan, Aijun An:
Efficient Mining of Indirect Associations Using HI-Mine. AI 2003: 206-221 - [c16]Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans, Nick Cercone:
Session Boundary Detection for Association Rule Learning Using n-Gram Language Models. AI 2003: 237-251 - [c15]Qingsong Yao, Aijun An:
Using User Access Patterns for Semantic Query Caching. DEXA 2003: 737-746 - [c14]Aijun An, Shakil M. Khan, Xiangji Huang:
Objective and Subjective Algorithms for Grouping Association Rules. ICDM 2003: 477-480 - [c13]Qingsong Yao, Aijun An:
SQL-Relay: An Event-Driven Rule-Based Database Gateway. WAIM 2003: 506-507 - 2002
- [j5]Nick Cercone, Lijun Hou, Vlado Keselj, Aijun An, Kanlaya Naruedomkul, Xiaohua Hu:
From Computational Intelligence to Web Intelligence. Computer 35(11): 72-76 (2002) - [c12]Xiangji Huang, Nick Cercone, Aijun An:
Comparison of interestingness functions for learning web usage patterns. CIKM 2002: 617-620 - [c11]Xiangji Huang, Aijun An, Nick Cercone, Gary Promhouse:
Discovery of Interesting Association Rules from Livelink Web Log Data. ICDM 2002: 763-766 - 2001
- [j4]Aijun An, Nick Cercone:
Rule Quality Measures for Rule Induction Systems: Description and Evaluation. Comput. Intell. 17(3): 409-424 (2001) - [c10]Aijun An, Nick Cercone, Xiangji Huang:
A Case Study for Learning from Imbalanced Data Sets. AI 2001: 1-15 - [c9]Aijun An, Yuanyuan Wang:
Comparisons of Classification Methods for Screening Potential Compounds. ICDM 2001: 11-18 - 2000
- [j3]Xiangji Huang, Stephen E. Robertson, Nick Cercone, Aijun An:
Probability-Based Chinese Text Processing and Retrieval. Comput. Intell. 16(4): 552-569 (2000) - [c8]Jianchao Han, Aijun An, Nick Cercone:
CViz: An Interactive Visualization System for Rule Induction. AI 2000: 214-226 - [c7]Aijun An, Nick Cercone:
Rule Quality Measures Improve the Accuracy of Rule Induction: An Experimental Approach. ISMIS 2000: 119-129
1990 – 1999
- 1999
- [j2]Nick Cercone, Aijun An, Christine W. Chan:
Rule-Induction and Case-Based Reasoning: Hybrid Architectures Appear Advantageous. IEEE Trans. Knowl. Data Eng. 11(1): 166-174 (1999) - [c6]Aijun An, Nick Cercone, Christine W. Chan:
ORTES: The Design of a Real-Time Control Expert System. ISMIS 1999: 319-329 - [c5]Aijun An, Nick Cercone:
Discretization of Continuous Attributes for Learning Classification Rules. PAKDD 1999: 509-514 - [c4]Aijun An, Nick Cercone:
An Empirical Study on Rule Quality Measures. RSFDGrC 1999: 482-491 - 1998
- [c3]Aijun An, Nick Cercone:
ELEM2: A Learning System for More Accurate Classifications. Canadian AI 1998: 426-441 - 1997
- [j1]Aijun An, Christine W. Chan, Ning Shan, Nick Cercone, Wojciech Ziarko:
Applying Knowledge Discovery to Predict Water-Supply Consumption. IEEE Expert 12(4): 72-78 (1997) - [c2]Aijun An, Nick Cercone, Christine W. Chan:
Integrating Rule Induction and Case-Based Reasoning to Enhance Problem Solving. ICCBR 1997: 499-508 - 1994
- [c1]Christine W. Chan, Nick Cercone, Aijun An, Paitoon Tontiwachwuthikul:
Object-Oriented Modelling and Simulation of an Expert System for Monitoring and Control of a Water Distribution System. OOIS 1994: 130-133
Coauthor Index
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