Belief Dynamics, Abduction, and Database. - Chandrabose Aravindan; Phan Minh Dung (JELIA, 1994)

Partial Deduction of Logic Programs wrt Well-Founded Semantics. - Chandrabose Aravindan; Phan Minh Dung (New Gener. Comput., 1994)

Knowledge base dynamics, Abduction and Databases updates. - Phan Minh Dung; Chandrabose Aravindan (J. Appl. Non Class. Logics, 1995)

On the Correctness of Unfold/Fold Transformation of Normal and Extended Logic Programs. - Chandrabose Aravindan; Phan Minh Dung (J. Log. Program., 1995)

On Merging Theorem Proving and Logic Programming Paradigms (Poster Abstract). - Chandrabose Aravindan; Peter Baumgartner 001; Jürgen Dix; Ulrich Furbach; Gerd Neugebauer; Ilkka Niemelä; Dorothea Schäfer; Frieder Stolzenburg (JICSLP, 1996)

An Abductive Framework for Negation in Disjunctive Logic Programming. - Chandrabose Aravindan (JELIA, 1996)

DisLoP: A Disjunctive Logic Programming System Based on PROTEIN Theorem Prover. - Chandrabose Aravindan (KI, 1996)

Dislop: Towards a Disjunctive Logic Programming System. - Chandrabose Aravindan; Jürgen Dix; Ilkka Niemelä (LPNMR, 1997)

A Rational and Efficient Algorithm for View Deletion in Databases. - Chandrabose Aravindan; Peter Baumgartner 001 (ILPS, 1997)

Fifth European Workshop on Logics in Artificial Intelligence (JELIA '96), Evora, Portugal, 30 September-3 October 1996. - Chandrabose Aravindan (AI Commun., 1997)

DisLoP: A Research Project on Disjunctive Logic Programming. - Chandrabose Aravindan; Jürgen Dix; Ilkka Niemelä (AI Commun., 1997)

Theorem Proving Techniques for View Deletion in Databases. - Chandrabose Aravindan; Peter Baumgartner 001 (J. Symb. Comput., 2000)

On-line emission and economic load dispatch using adaptive Hopfield neural network. - S. Balakrishnan; P. S. Kannan; Chandrabose Aravindan; P. Subathra (Appl. Soft Comput., 2003)

Design of a Scalable, Fault Tolerant, Heterogeneous and Secured Distributed Storage Framework. - C. L. J. Jerre Louis; Chandrabose Aravindan (ICETET, 2008)

Root Mean Square filter for noisy images based on hyper graph model. - Kirthivasan Kannan; B. Rajesh Kanna; Chandrabose Aravindan (Image Vis. Comput., 2010)

A contour based scheme for representing arbitrary shapes in digital images. - B. Rajesh Kanna; Chandrabose Aravindan; Kirthivasan Kannan (ICWET, 2011)

Preferential local search with adaptive weights in evolutionary algorithms for multiobjective optimization problems. - J. Bhuvana; Chandrabose Aravindan (SoCPaR, 2011)

Face detection using data and sensor fusion techniques. - S. M. Jaisakthi; Chandrabose Aravindan (SoCPaR, 2011)

Empirical Modeling and Simulation of Temporal Based Adaptive Mobility Model for MANET. - Gurusamy Prema; Chandrabose Aravindan; Kirthivasan Kannan; Rathinam Maheswaran (Int. J. Commun. Netw. Syst. Sci., 2011)

A computational model for enhancing recombinant Penicillin G Acylase production from Escherichia coli DH5α. - C. Premalatha; Chandrabose Aravindan; R. Karthikeyan; Kirthivasan Kannan; M. Surianarayanan (Comput. Biol. Chem., 2013)

Decision Tree Approach for Consumer Health Information Search. - D. Thenmozhi; Palaniappan Mirunalini; Chandrabose Aravindan (FIRE (Working Notes), 2016)

Feature Engineering and Characterization of Classifiers for Consumer Health Information Search. - D. Thenmozhi; Palaniappan Mirunalini; Chandrabose Aravindan (FIRE Workshop, 2016)

An Automatic and Clause-Based Approach to Learn Relations for Ontologies. - D. Thenmozhi; Chandrabose Aravindan (Comput. J., 2016)

Paraphrase Identification by Using Clause-Based Similarity Features and Machine Translation Metrics. - D. Thenmozhi; Chandrabose Aravindan (Comput. J., 2016)

Automatic Scale Parameters in Affinity Matrix Construction for Improved Spectral Clustering. - Mohanavalli Subramaniam; S. M. Jaisakthi; Chandrabose Aravindan (Int. J. Pattern Recognit. Artif. Intell., 2016)

Development of KSVGRNN: A hybrid soft computing technique for estimation of boiler flue gas components. - Ramakalyan Ayyagari; A. Sivakumar; Chandrabose Aravindan; K. Kannan 001; V. Swaminathan 002; D. Sarala (J. Ind. Inf. Integr., 2016)

Memetic algorithm with Preferential Local Search using adaptive weights for multi-objective optimization problems. - J. Bhuvana; Chandrabose Aravindan (Soft Comput., 2016)

Stopping criteria for MAPLS-AW, a hybrid multi-objective evolutionary algorithm. - J. Bhuvana; Chandrabose Aravindan (Soft Comput., 2016)

A Text Similarity Approach for Precedence Retrieval from Legal Documents. - D. Thenmozhi; Kawshik Kannan; Chandrabose Aravindan (FIRE (Working Notes), 2017)

SSN_NLP@INLI-FIRE-2017: A Neural Network Approach to Indian Native Language Identification. - D. Thenmozhi; Kawshik Kannan; Chandrabose Aravindan (FIRE (Working Notes), 2017)

Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique. - S. M. Jaisakthi; Chandrabose Aravindan; Palaniappan Mirunalini (CoRR, 2017)

Deep Learning for Skin Lesion Classification. - Palaniappan Mirunalini; Chandrabose Aravindan; Vignesh Gokul; S. M. Jaisakthi (CoRR, 2017)

Convolutional Long Short-Term Memory Neural Networks for Hierarchical Species Prediction. - Nithish B. Moudhgalya; S. Sharan Sundar; Siddharth Divi; Palaniappan Mirunalini; Chandrabose Aravindan; S. M. Jaisakthi (CLEF (Working Notes), 2018)

A Machine Learning Approach to Indian Native Language Identification. - D. Thenmozhi; S. Kayalvizhi; Chandrabose Aravindan (FIRE (Working Notes), 2018)

SSN_NLP@IECSIL-FIRE-2018: Deep Learning Approach to Named Entity Recognition and Relation Extraction for Conversational Systems in Indian Languages. - D. Thenmozhi; Senthil Kumar; Chandrabose Aravindan (FIRE (Working Notes), 2018)

Multi-lingual Author Profiling on SMS Messages using Machine Learning Approach with Statistical Feature Selection. - Durairaj Thenmozhi; Kalaivani Adaikkan; Chandrabose Aravindan (FIRE (Working Notes), 2018)

Deep Learning Approach to English-Tamil and Hindi-Tamil Verb Phrase Translations. - D. Thenmozhi; B. Senthil Kumar; Chandrabose Aravindan (FIRE (Working Notes), 2018)

An Effective and Discriminative Feature Learning for URL Based Web Page Classification. - Ratnavel Rajalakshmi; Chandrabose Aravindan (SMC, 2018)

A Naive Bayes approach for URL classification with supervised feature selection and rejection framework. - Ratnavel Rajalakshmi; Chandrabose Aravindan (Comput. Intell., 2018)

Automated skin lesion segmentation of dermoscopic images using GrabCut and k-means algorithms. - S. M. Jaisakthi; Palaniappan Mirunalini; Chandrabose Aravindan (IET Comput. Vis., 2018)

Deep URL: design of adult URL classifier using deep neural network. - R. Rajalakshmi; Joel Raymann; Aneesh Prabu; Chandrabose Aravindan (AISS, 2019)

Coral Reef Annotation and Localization using Faster R-CNN. - S. M. Jaisakthi; Palaniappan Mirunalini; Chandrabose Aravindan (CLEF (Working Notes), 2019)

Deep Learning Approach for Semantic Indexing of Animal Experiments Summaries in German Language. - S. Kayalvizhi; D. Thenmozhi; Chandrabose Aravindan (CLEF (Working Notes), 2019)

Species Recommendation using Machine Learning - GeoLifeCLEF 2019. - Nanda H. Krishna; Praveen Kumar R; Ram Kaushik R; Palaniappan Mirunalini; Chandrabose Aravindan; S. M. Jaisakthi (CLEF (Working Notes), 2019)

Early Detection of Anorexia using RNN-LSTM and SVM Classifiers. - Akshaya Ranganathan; Haritha A; D. Thenmozhi; Chandrabose Aravindan (CLEF (Working Notes), 2019)

Extracting Protests from News Using LSTM models with different Attention Mechanisms. - D. Thenmozhi; Chandrabose Aravindan; Abishek Shyamsunder; Adithya Viswanathan; Akash Kumar Pujari (CLEF (Working Notes), 2019)

Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding. - Haritha Ananthakrishnan; Akshaya Ranganathan; D. Thenmozhi; Chandrabose Aravindan (FIRE (Working Notes), 2019)

Legal Assistance using Word Embeddings. - S. Kayalvizhi; D. Thenmozhi; Chandrabose Aravindan (FIRE (Working Notes), 2019)

SSN_NLP@IDAT-FIRE-2019: Irony Detection in Arabic Tweets using Deep Learning and Features-based Approaches. - S. Kayalvizhi; D. Thenmozhi; B. Senthil Kumar; Chandrabose Aravindan (FIRE (Working Notes), 2019)

Classification of Insincere Questions using SGD Optimization and SVM Classifiers. - Akshaya Ranganathan; Haritha Ananthakrishnan; D. Thenmozhi; Chandrabose Aravindan (FIRE (Working Notes), 2019)

SSN_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network. - B. Senthil Kumar; D. Thenmozhi; Chandrabose Aravindan; Srinethe Sharavanan (SemEval@NAACL-HLT, 2019)

SSN_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches. - D. Thenmozhi; B. Senthil Kumar; Srinethe Sharavanan; Chandrabose Aravindan (SemEval@NAACL-HLT, 2019)

Segmentation of Coronary Arteries from CTA axial slices using Deep Learning techniques. - Palaniappan Mirunalini; Chandrabose Aravindan; A. Thamizh Nambi; S. Poorvaja; V. Pooja Priya (TENCON, 2019)

Automatic stenosis detection using SVM from CTA projection images. - Palaniappan Mirunalini; Chandrabose Aravindan; S. M. Jaisakthi (Multim. Syst., 2019)

Transformers in Semantic Indexing of Clinical Codes. - Rishivardhan K; Kayalvizhi S; D. Thenmozhi; Sachin Krishan; Chandrabose Aravindan (CLEF (Working Notes), 2020)

SSN NLP @ SardiStance : Stance Detection from Italian Tweets using RNN and Transformers (short paper). - Kayalvizhi S; Thenmozhi D; Aravindan Chandrabose (EVALITA, 2020)

Best Matching Algorithm to Identify and Rank the Relevant Statutes. - Kayalvizhi S; Thenmozhi D; Chandrabose Aravindan (FIRE (Working Notes), 2020)

SSN_NLP at SemEval-2020 Task 7: Detecting Funniness Level Using Traditional Learning with Sentence Embeddings. - Kayalvizhi S; D. Thenmozhi; Chandrabose Aravindan (SemEval@COLING, 2020)

TOLD: Tamil Offensive Language Detection in Code-Mixed Social Media Comments using MBERT with Features based Selection. - Kalaivani Adaikkan; Thenmozhi Durairaj; Aravindan Chandrabose (FIRE (Working Notes), 2021)

An Overview of Fairness in Data - Illuminating the Bias in Data Pipeline. - Senthil Kumar B; Aravindan Chandrabose; Bharathi Raja Chakravarthi (LT-EDI@EACL, 2021)

Hierarchical classifier design for speech emotion recognition in the mixed-cultural environment. - P. Vasuki; Chandrabose Aravindan (J. Exp. Theor. Artif. Intell., 2021)

Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings. - Karthik Desingu; Palaniappan Mirunalini; Aravindan Chandrabose (CoRR, 2022)

Classification of skin cancer from dermoscopic images using deep neural network architectures. - S. M. Jaisakthi; Palaniappan Mirunalini; Chandrabose Aravindan; Rajagopal Appavu (Multim. Tools Appl., 2023)

NLP_Team1@SSN at SemEval-2024 Task 1: Impact of language models in Sentence-BERT for Semantic Textual Relatedness in Low-resource Languages. - Senthil Kumar; Aravindan Chandrabose; Gokulakrishnan B; Karthikraja TP (SemEval@NAACL, 2024)

SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations. - Antony Rajesh; Supriya Abirami; Aravindan Chandrabose; Senthil Kumar (SemEval@NAACL, 2024)

AI-UNet: Attention Information-based deep URL Network for adult webpage classification. - Ratnavel Rajalakshmi; Joel Raymann; Aneesh Prabhu; R. Karthik 001; Chandrabose Aravindan (Neural Comput. Appl., 2025)