Learning optimal conjunctive concepts through a team of stochastic automata. - P. S. Sastry 001; Kanagasabai Rajaraman; S. R. Ranjan (IEEE Trans. Syst. Man Cybern., 1993)

Finite time analysis of the pursuit algorithm for learning automata. - Kanagasabai Rajaraman; P. S. Sastry 001 (IEEE Trans. Syst. Man Cybern. Part B, 1996)

Document Clustering using 3-tuples. - Kanagasabai Rajaraman; Hong Pan (PRICAI Workshop on Text and Web Mining, 2000)

Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks. - Kanagasabai Rajaraman; Ah-Hwee Tan (PAKDD, 2001)

Knowledge discovery from texts: a concept frame graph approach. - Kanagasabai Rajaraman; Ah-Hwee Tan (CIKM, 2002)

Mining Semantic Networks for Knowledge Discovery. - Kanagasabai Rajaraman; Ah-Hwee Tan (ICDM, 2003)

Wrapper Induction Under Web Layout Changes. - Roshni Mohapatra; Kanagasabai Rajaraman (International Conference on Internet Computing, 2004)

Mining emergent structures from mixed media For content retrieval. - Jamie Ng; Kanagasabai Rajaraman; Edward Altman (ACM Multimedia, 2004)

Efficient Wrapper Reinduction from Dynamic Web Sources. - Roshni Mohapatra; Kanagasabai Rajaraman; Sam Yuan Sung (Web Intelligence, 2004)

Literature-driven, Ontology-centric Knowledge Navigation for Lipidomics. - Kanagasabai Rajaraman; Hong Sang Low; Wee Tiong Ang; Anitha Veeramani; Markus R. Wenk; Christopher J. O. Baker (FIRST, 2007)

Detection of generic spaced motifs using submotif pattern mining. - Edward Wijaya; Kanagasabai Rajaraman; Siu-Ming Yiu; Wing-Kin Sung (Bioinform., 2007)

A Workflow for Mutation Extraction and Structure Annotation. - Kanagasabai Rajaraman; Khar Heng Choo; Shoba Ranganathan; Christopher J. O. Baker (J. Bioinform. Comput. Biol., 2007)

Special track on Bioinformatics: editorial message. - Mathew J. Palakal; William Perrizo; Kanagasabai Rajaraman (SAC, 2008)

Knowledge Translation: Computing the Query Potential of Bio-ontologies. - Wee Tiong Ang; Rajaraman Kanagasabai; Christopher J. O. Baker (SWAT4LS, 2008)

MotifVoter: a novel ensemble method for fine-grained integration of generic motif finders. - Edward Wijaya; Siu-Ming Yiu; Ngo Thanh Son; Kanagasabai Rajaraman; Wing-Kin Sung (Bioinform., 2008)

Towards ontology-driven navigation of the lipid bibliosphere. - Christopher J. O. Baker; Kanagasabai Rajaraman; Wee Tiong Ang; Anitha Veeramani; Hong Sang Low; Markus R. Wenk (BMC Bioinform., 2008)

Ontology-centric integration and navigation of the dengue literature. - Menaka Rajapakse; Kanagasabai Rajaraman; Wee Tiong Ang; Anitha Veeramani; Mark J. Schreiber; Christopher J. O. Baker (J. Biomed. Informatics, 2008)

Slicing through the Scientific Literature. - Christopher J. O. Baker; Patrick Lambrix; Jonas Laurila Bergman; Kanagasabai Rajaraman; Wee Tiong Ang (DILS, 2009)

KnowleTracker: a semantic service-oriented system for enterprise campaign management. - Wee Tiong Ang; Aloysius Tan; Wei-Peng Seeto; Francis Tan; Weng-Fai Tang; Rajaraman Kanagasabai (iiWAS, 2009)

OntoMobiLe: A Generic Ontology-Centric Service-Oriented Architecture for Mobile Learning. - Keng Y. Yee; Wee Tiong Ang; Flora S. Tsai; Rajaraman Kanagasabai (Mobile Data Management, 2009)

Ontology-centric, Service-Oriented Enterprise Campaign Management System. - Wee Tiong Ang; Wei-Peng Seeto; Francis Tan; Weng-Fai Tang; Rajaraman Kanagasabai (ICSC, 2009)

Towards large scale modeling and realization of SNOMED CT in OWL-DL. - Li Qing An Michael; Wee Tiong Ang; Rajaraman Kanagasabai (CBMS, 2010)

Algorithm for Grounding Mutation Mentions from Text to Protein Sequences. - Jonas Laurila Bergman; Rajaraman Kanagasabai; Christopher J. O. Baker (DILS, 2010)

Managing Publicity Campaigns with Semantic Technologies. - Wee Tiong Ang; Rajaraman Kanagasabai; Wei-Peng Seeto; Francis Tan; Weng-Fai Tang (ICSC, 2010)

Review of Semantic Web Service Discovery Methods. - Le Duy Ngan; Markus Kirchberg; Rajaraman Kanagasabai (SERVICES, 2010)

Workshop on semantic data management: a summary report. - Reto Krummenacher; Karl Aberer; Atanas Kiryakov; Rajaraman Kanagasabai (SIGMOD Rec., 2010)

Extraction and Grounding of Protein Mutations via Semantic Integration of Text and Sequence Information. - Christopher J. O. Baker; Rajaraman Kanagasabai (AINA, 2011)

Context-Aware Mobile Learning with a Semantic Service-Oriented Infrastructure. - Yilun Chia; Flora S. Tsai; Wee Tiong Ang; Rajaraman Kanagasabai (AINA Workshops, 2011)

Automatic Service Composition via Model Checking. - Yuzhang Feng; Anitha Veeramani; Rajaraman Kanagasabai; Seungmin Rho (APSCC, 2011)

Enabling Interoperability across Heterogeneous Semantic Web Services with OWL-S Based Mediation. - Le Duy Ngan; Yuzhang Feng; Seungmin Rho; Rajaraman Kanagasabai (APSCC, 2011)

Dynamic Discovery of Complex Constraint-Based Semantic Web Services. - Le Duy Ngan; Lim Yuan Jie; Rajaraman Kanagasabai (ICSC, 2011)

Cloud-based Semantic Service-Oriented Content Provisioning Architecture for Mobile Learning. - Keng Y. Yee; Yilun Chia; Flora S. Tsai; Wee Tiong Ang; Rajaraman Kanagasabai (J. Internet Serv. Inf. Secur., 2011)

Enabling On-Demand Mashups of Open Data with Semantic Services. - Yuzhang Feng; Anitha Veeramani; Rajaraman Kanagasabai (ICPADS, 2012)

Towards a Common Benchmark Framework for Cloud Brokers. - Le Duy Ngan; Flora S. Tsai; Chan Chee Keong; Rajaraman Kanagasabai (ICPADS, 2012)

Automatic DAG-Based Service Composition: A Model Checking Approach. - Yuzhang Feng; Anitha Veeramani; Rajaraman Kanagasabai (ICWS, 2012)

OWL-S Based Semantic Cloud Service Broker. - Le Duy Ngan; Rajaraman Kanagasabai (ICWS, 2012)

Semantic IPTV Service Discovery System. - Fon Lin Lai; Xu Shao; Rajaraman Kanagasabai (SERVICES, 2012)

Dynamic Service Composition with Service-Dependent QoS Attributes. - Yuzhang Feng; Le Duy Ngan; Rajaraman Kanagasabai (ICWS, 2013)

EC2BargainHunter: It's Easy to Hunt for Cost Savings on Amazon EC2! - Rajaraman Kanagasabai; Le Duy Ngan; Yuzhang Feng; Anitha Veeramani; Joel Koo Chong En; Chan Chee Keong; Flora S. Tsai; Artur Andrzejak 001 (SERVICES, 2013)

Towards Formal Modeling and Verification of Cloud Architectures: A Case Study on Hadoop. - G. Satya Reddy; Yuzhang Feng; Yang Liu 003; Jin Song Dong; Jun Sun 001; Rajaraman Kanagasabai (SERVICES, 2013)

Semantic Web service discovery: state-of-the-art and research challenges. - Le Duy Ngan; Rajaraman Kanagasabai (Pers. Ubiquitous Comput., 2013)

Using Semantic Technologies to Mine Customer Insights in Telecom Industry. - Rajaraman Kanagasabai; Anitha Veeramani; Le Duy Ngan; Ghim-Eng Yap; James Decraene; Amy Shi Nash (ISWC (Industry Track), 2014)

Prediction of Enterprise Purchases Using Markov Models in Procurement Analytics Applications. - Adam Westerski; Rajaraman Kanagasabai; Jiayu Wong; Henry Chang (KES, 2015)

Classification of massive mobile web log URLs for customer profiling & analytics. - Rajaraman Kanagasabai; Anitha Veeramani; Shangfeng Hu; Sangaralingam Kajanan; Giuseppe Manai (IEEE BigData, 2016)

Learning Commonsense Knowledge Models for Semantic Analytics. - Shangfeng Hu; Rajaraman Kanagasabai (ICSC, 2016)

Online Deep Learning: Growing RBM on the fly. - Savitha Ramasamy; Kanagasabai Rajaraman; Pavitra Krishnaswamy; Vijay Chandrasekhar 001 (CoRR, 2018)

Towards Next Generation Knowledge Graphs for Disaster Management. - Hemant Purohit; Rajaraman Kanagasabai; Nikhil Deshpande (ICSC, 2019)

In search of disruptive ideas: outlier detection techniques in crowdsourcing innovation platforms. - Adam Westerski; Rajaraman Kanagasabai (Int. J. Web Based Communities, 2019)

Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation. - Savitha Ramasamy; Arulmurugan Ambikapathi; Kanagasabai Rajaraman (Appl. Soft Comput., 2020)

Using Unsupervised Learning for Data-driven Procurement Demand Aggregation. - Eran Shaham; Adam Westerski; Rajaraman Kanagasabai; Amudha Narayanan; Samuel Ong; Jiayu Wong; Manjeet Singh (AAAI, 2021)

Explainable anomaly detection for procurement fraud identification - lessons from practical deployments. - Adam Westerski; Rajaraman Kanagasabai; Eran Shaham; Amudha Narayanan; Jiayu Wong; Manjeet Singh (Int. Trans. Oper. Res., 2021)

Investigating Transformer-Guided Chaining for Interpretable Natural Logic Reasoning. - Kanagasabai Rajaraman; Saravanan Rajamanickam; Wei Shi (ACL (Findings), 2023)

Semantists at ImageArg-2023: Exploring Cross-modal Contrastive and Ensemble Models for Multimodal Stance and Persuasiveness Classification. - Kanagasabai Rajaraman; Hariram Veeramani; Saravanan Rajamanickam; Adam Maciej Westerski; Jung-Jae Kim 001 (ArgMining@EMNLP, 2023)

I2R at SemEval-2023 Task 7: Explanations-driven Ensemble Approach for Natural Language Inference over Clinical Trial Data. - Saravanan Rajamanickam; Kanagasabai Rajaraman (SemEval@ACL, 2023)

A Generic NLI approach for Classification of Sentiment Associated with Therapies. - Rajaraman Kanagasabai; Anitha Veeramani (CoRR, 2023)