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Kanagasabai Rajaraman
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2020 – today
- 2023
- [c40]Kanagasabai Rajaraman, Saravanan Rajamanickam, Wei Shi:
Investigating Transformer-Guided Chaining for Interpretable Natural Logic Reasoning. ACL (Findings) 2023: 9240-9253 - [c39]Kanagasabai Rajaraman, Hariram Veeramani, Saravanan Rajamanickam, Adam Maciej Westerski, Jung-Jae Kim:
Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification. ArgMining@EMNLP 2023: 181-186 - [c38]Saravanan Rajamanickam, Kanagasabai Rajaraman:
I2R at SemEval-2023 Task 7: Explanations-driven Ensemble Approach for Natural Language Inference over Clinical Trial Data. SemEval@ACL 2023: 1630-1635 - [i2]Rajaraman Kanagasabai, Anitha Veeramani:
A Generic NLI approach for Classification of Sentiment Associated with Therapies. CoRR abs/2312.03737 (2023) - 2021
- [j13]Adam Westerski
, Rajaraman Kanagasabai
Explainable anomaly detection for procurement fraud identification - lessons from practical deployments. Int. Trans. Oper. Res. 28(6): 3276-3302 (2021) - [c37]Eran Shaham, Adam Westerski, Rajaraman Kanagasabai, Amudha Narayanan, Samuel Ong, Jiayu Wong, Manjeet Singh:
Using Unsupervised Learning for Data-driven Procurement Demand Aggregation. AAAI 2021: 15175-15184 - 2020
- [j12]Savitha Ramasamy
Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation. Appl. Soft Comput. 92: 106278 (2020)
2010 – 2019
- 2019
- [j11]Adam Westerski, Rajaraman Kanagasabai
In search of disruptive ideas: outlier detection techniques in crowdsourcing innovation platforms. Int. J. Web Based Communities 15(4): 344-367 (2019) - [c36]Hemant Purohit
Towards Next Generation Knowledge Graphs for Disaster Management. ICSC 2019: 474-477 - 2018
- [i1]Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar:
Online Deep Learning: Growing RBM on the fly. CoRR abs/1803.02043 (2018) - 2017
- [e2]Rajaraman Kanagasabai, Ahsan Morshed, Hemant Purohit:
Proceedings of the IJCAI Workshop on Semantic Machine Learning (SML 2017) co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia, August 20, 2017. CEUR Workshop Proceedings 1986, CEUR-WS.org 2017 [contents] - 2016
- [c35]Rajaraman Kanagasabai, Anitha Veeramani, Shangfeng Hu, Sangaralingam Kajanan, Giuseppe Manai:
Classification of massive mobile web log URLs for customer profiling & analytics. IEEE BigData 2016: 1609-1614 - [c34]Shangfeng Hu, Rajaraman Kanagasabai:
Learning Commonsense Knowledge Models for Semantic Analytics. ICSC 2016: 400-403 - 2015
- [c33]Adam Westerski, Rajaraman Kanagasabai
Prediction of Enterprise Purchases Using Markov Models in Procurement Analytics Applications. KES 2015: 1357-1366 - 2014
- [c32]Rajaraman Kanagasabai, Anitha Veeramani, Le Duy Ngan, Ghim-Eng Yap, James Decraene, Amy Shi Nash:
Using Semantic Technologies to Mine Customer Insights in Telecom Industry. ISWC (Industry Track) 2014 - 2013
- [j10]Le Duy Ngan, Rajaraman Kanagasabai
Semantic Web service discovery: state-of-the-art and research challenges. Pers. Ubiquitous Comput. 17(8): 1741-1752 (2013) - [c31]Yuzhang Feng, Le Duy Ngan, Rajaraman Kanagasabai:
Dynamic Service Composition with Service-Dependent QoS Attributes. ICWS 2013: 10-17 - [c30]G. Satya Reddy, Yuzhang Feng, Yang Liu
Towards Formal Modeling and Verification of Cloud Architectures: A Case Study on Hadoop. SERVICES 2013: 306-311 - [c29]Rajaraman Kanagasabai, Le Duy Ngan, Yuzhang Feng, Anitha Veeramani, Joel Koo Chong En, Chan Chee Keong, Flora S. Tsai, Artur Andrzejak:
EC2BargainHunter: It's Easy to Hunt for Cost Savings on Amazon EC2! SERVICES 2013: 480-487 - 2012
- [c28]Le Duy Ngan, Flora S. Tsai, Chan Chee Keong, Rajaraman Kanagasabai
Towards a Common Benchmark Framework for Cloud Brokers. ICPADS 2012: 750-754 - [c27]Yuzhang Feng, Anitha Veeramani, Rajaraman Kanagasabai
Enabling On-Demand Mashups of Open Data with Semantic Services. ICPADS 2012: 755-759 - [c26]Le Duy Ngan, Rajaraman Kanagasabai:
OWL-S Based Semantic Cloud Service Broker. ICWS 2012: 560-567 - [c25]Yuzhang Feng, Anitha Veeramani, Rajaraman Kanagasabai:
Automatic DAG-Based Service Composition: A Model Checking Approach. ICWS 2012: 674-675 - [c24]Fon Lin Lai, Xu Shao, Rajaraman Kanagasabai:
Semantic IPTV Service Discovery System. SERVICES 2012: 353-360 - 2011
- [j9]Keng Y. Yee, Yilun Chia, Flora S. Tsai, Wee Tiong Ang, Rajaraman Kanagasabai:
Cloud-based Semantic Service-Oriented Content Provisioning Architecture for Mobile Learning. J. Internet Serv. Inf. Secur. 1(1): 59-69 (2011) - [c23]Christopher J. O. Baker, Rajaraman Kanagasabai
Extraction and Grounding of Protein Mutations via Semantic Integration of Text and Sequence Information. AINA 2011: 556-563 - [c22]Yilun Chia, Flora S. Tsai, Wee Tiong Ang, Rajaraman Kanagasabai:
Context-Aware Mobile Learning with a Semantic Service-Oriented Infrastructure. AINA Workshops 2011: 896-901 - [c21]Le Duy Ngan, Yuzhang Feng, Seungmin Rho, Rajaraman Kanagasabai:
Enabling Interoperability across Heterogeneous Semantic Web Services with OWL-S Based Mediation. APSCC 2011: 471-476 - [c20]Yuzhang Feng, Anitha Veeramani, Rajaraman Kanagasabai, Seungmin Rho:
Automatic Service Composition via Model Checking. APSCC 2011: 477-482 - [c19]Le Duy Ngan, Lim Yuan Jie, Rajaraman Kanagasabai:
Dynamic Discovery of Complex Constraint-Based Semantic Web Services. ICSC 2011: 51-58 - 2010
- [j8]Reto Krummenacher, Karl Aberer, Atanas Kiryakov, Rajaraman Kanagasabai
Workshop on semantic data management: a summary report. SIGMOD Rec. 39(3): 24-26 (2010) - [c18]Li Qing An Michael, Wee Tiong Ang, Rajaraman Kanagasabai
Towards large scale modeling and realization of SNOMED CT in OWL-DL. CBMS 2010: 401-407 - [c17]Jonas Laurila Bergman, Rajaraman Kanagasabai
Algorithm for Grounding Mutation Mentions from Text to Protein Sequences. DILS 2010: 122-131 - [c16]Wee Tiong Ang, Rajaraman Kanagasabai, Wei-Peng Seeto, Francis Tan, Weng-Fai Tang:
Managing Publicity Campaigns with Semantic Technologies. ICSC 2010: 440-441 - [c15]Le Duy Ngan, Markus Kirchberg, Rajaraman Kanagasabai:
Review of Semantic Web Service Discovery Methods. SERVICES 2010: 176-177
2000 – 2009
- 2009
- [c14]Christopher J. O. Baker, Patrick Lambrix
Slicing through the Scientific Literature. DILS 2009: 127-140 - [c13]Wee Tiong Ang, Aloysius Tan, Wei-Peng Seeto, Francis Tan, Weng-Fai Tang, Rajaraman Kanagasabai:
KnowleTracker: a semantic service-oriented system for enterprise campaign management. iiWAS 2009: 688-693 - [c12]Keng Y. Yee, Wee Tiong Ang, Flora S. Tsai, Rajaraman Kanagasabai
OntoMobiLe: A Generic Ontology-Centric Service-Oriented Architecture for Mobile Learning. Mobile Data Management 2009: 631-636 - [c11]Wee Tiong Ang, Wei-Peng Seeto, Francis Tan, Weng-Fai Tang, Rajaraman Kanagasabai:
Ontology-centric, Service-Oriented Enterprise Campaign Management System. ICSC 2009: 442-449 - [e1]Markus Kirchberg, Patrick C. K. Hung, Barbara Carminati, Chi-Hung Chi, Rajaraman Kanagasabai, Emanuele Della Valle, Kun-Chan Lan, Ling-Jyh Chen:
4th IEEE Asia-Pacific Services Computing Conference, IEEE APSCC 2009, Singapore, December 7-11 2009, Proceedings. IEEE 2009, ISBN 978-1-4244-5336-8 [contents] - 2008
- [j7]Edward Wijaya, Siu-Ming Yiu, Ngo Thanh Son, Kanagasabai Rajaraman
MotifVoter: a novel ensemble method for fine-grained integration of generic motif finders. Bioinform. 24(20): 2288-2295 (2008) - [j6]Christopher J. O. Baker, Kanagasabai Rajaraman, Wee Tiong Ang, Anitha Veeramani, Hong Sang Low, Markus R. Wenk:
Towards ontology-driven navigation of the lipid bibliosphere. BMC Bioinform. 9(S-1) (2008) - [j5]Menaka Rajapakse, Kanagasabai Rajaraman
Ontology-centric integration and navigation of the dengue literature. J. Biomed. Informatics 41(5): 806-815 (2008) - [c10]Mathew J. Palakal, William Perrizo, Kanagasabai Rajaraman:
Special track on Bioinformatics: editorial message. SAC 2008: 1260 - [c9]Wee Tiong Ang, Rajaraman Kanagasabai, Christopher J. O. Baker:
Knowledge Translation: Computing the Query Potential of Bio-ontologies. SWAT4LS 2008 - 2007
- [j4]Edward Wijaya, Kanagasabai Rajaraman
Detection of generic spaced motifs using submotif pattern mining. Bioinform. 23(12): 1476-1485 (2007) - [j3]Kanagasabai Rajaraman
A Workflow for Mutation Extraction and Structure Annotation. J. Bioinform. Comput. Biol. 5(6): 1319-1337 (2007) - [c8]Kanagasabai Rajaraman, Hong Sang Low, Wee Tiong Ang, Anitha Veeramani, Markus R. Wenk, Christopher J. O. Baker:
Literature-driven, Ontology-centric Knowledge Navigation for Lipidomics. FIRST 2007: 42-55 - 2004
- [c7]Roshni Mohapatra, Kanagasabai Rajaraman:
Wrapper Induction Under Web Layout Changes. International Conference on Internet Computing 2004: 102-108 - [c6]Jamie Ng
Mining emergent structures from mixed media For content retrieval. ACM Multimedia 2004: 316-319 - [c5]Roshni Mohapatra, Kanagasabai Rajaraman, Sam Yuan Sung:
Efficient Wrapper Reinduction from Dynamic Web Sources. Web Intelligence 2004: 391-397 - 2003
- [c4]Kanagasabai Rajaraman, Ah-Hwee Tan:
Mining Semantic Networks for Knowledge Discovery. ICDM 2003: 633-636 - 2002
- [c3]Kanagasabai Rajaraman, Ah-Hwee Tan
Knowledge discovery from texts: a concept frame graph approach. CIKM 2002: 669-671 - 2001
- [c2]Kanagasabai Rajaraman
Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks. PAKDD 2001: 102-107 - 2000
- [c1]Kanagasabai Rajaraman, Hong Pan:
Document Clustering using 3-tuples. PRICAI Workshop on Text and Web Mining 2000: 88-95
1990 – 1999
- 1996
- [j2]Kanagasabai Rajaraman
Finite time analysis of the pursuit algorithm for learning automata. IEEE Trans. Syst. Man Cybern. Part B 26(4): 590-598 (1996) - 1993
- [j1]P. S. Sastry, Kanagasabai Rajaraman
Learning optimal conjunctive concepts through a team of stochastic automata. IEEE Trans. Syst. Man Cybern. 23(4): 1175-1184 (1993)
Coauthor Index
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