Chandrabose Aravindan

According to our database, Chandrabose Aravindan authored at least 63 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Classification of skin cancer from dermoscopic images using deep neural network architectures.

S. M. Jaisakthi, Palaniappan Mirunalini, Chandrabose Aravindan, Rajagopal Appavu

Multim. Tools Appl., April, 2023

2022

Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings.

Karthik Desingu, Palaniappan Mirunalini, Aravindan Chandrabose

CoRR, 2022

2021

Hierarchical classifier design for speech emotion recognition in the mixed-cultural environment.

P. Vasuki, Chandrabose Aravindan

J. Exp. Theor. Artif. Intell., 2021

An Overview of Fairness in Data - Illuminating the Bias in Data Pipeline.

Senthil Kumar B, Aravindan Chandrabose, Bharathi Raja Chakravarthi

Proceedings of the First Workshop on Language Technology for Equality, 2021

TOLD: Tamil Offensive Language Detection in Code-Mixed Social Media Comments using MBERT with Features based Selection.

Kalaivani Adaikkan, Thenmozhi Durairaj, Aravindan Chandrabose

Proceedings of the Working Notes of FIRE 2021, 2021

2020

SSN_NLP at SemEval-2020 Task 7: Detecting Funniness Level Using Traditional Learning with Sentence Embeddings.

Kayalvizhi S, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Best Matching Algorithm to Identify and Rank the Relevant Statutes.

Kayalvizhi S, Thenmozhi D, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2020, 2020

SSN NLP @ SardiStance : Stance Detection from Italian Tweets using RNN and Transformers (short paper).

Kayalvizhi S, Thenmozhi D, Aravindan Chandrabose

Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020), 2020

Transformers in Semantic Indexing of Clinical Codes.

Rishivardhan K, Kayalvizhi S, D. Thenmozhi, Sachin Krishan, Chandrabose Aravindan

Proceedings of the Working Notes of CLEF 2020, 2020

2019

Automatic stenosis detection using SVM from CTA projection images.

Palaniappan Mirunalini, Chandrabose Aravindan, S. M. Jaisakthi

Multim. Syst., 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

Proceedings of the TENCON 2019, 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

Proceedings of the 13th International Workshop on Semantic Evaluation, 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

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Classification of Insincere Questions using SGD Optimization and SVM Classifiers.

Akshaya Ranganathan, Haritha Ananthakrishnan, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2019, 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

Proceedings of the Working Notes of FIRE 2019, 2019

Legal Assistance using Word Embeddings.

S. Kayalvizhi, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2019, 2019

Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding.

Haritha Ananthakrishnan, Akshaya Ranganathan, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2019, 2019

Extracting Protests from News Using LSTM models with different Attention Mechanisms.

D. Thenmozhi, Chandrabose Aravindan, Abishek Shyamsunder, Adithya Viswanathan, Akash Kumar Pujari

Proceedings of the Working Notes of CLEF 2019, 2019

Early Detection of Anorexia using RNN-LSTM and SVM Classifiers.

Akshaya Ranganathan, Haritha A, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Working Notes of CLEF 2019, 2019

Species Recommendation using Machine Learning - GeoLifeCLEF 2019.

Nanda H. Krishna, Praveen Kumar R, Ram Kaushik R, Palaniappan Mirunalini, Chandrabose Aravindan, S. M. Jaisakthi

Proceedings of the Working Notes of CLEF 2019, 2019

Deep Learning Approach for Semantic Indexing of Animal Experiments Summaries in German Language.

S. Kayalvizhi, D. Thenmozhi, Chandrabose Aravindan

Proceedings of the Working Notes of CLEF 2019, 2019

Coral Reef Annotation and Localization using Faster R-CNN.

S. M. Jaisakthi, Palaniappan Mirunalini, Chandrabose Aravindan

Proceedings of the Working Notes of CLEF 2019, 2019

Deep URL: design of adult URL classifier using deep neural network.

R. Rajalakshmi, Joel Raymann, Aneesh Prabu, Chandrabose Aravindan

Proceedings of the AISS 2019: 2019 International Conference on Advanced Information Science and System, 2019

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

A Naive Bayes approach for URL classification with supervised feature selection and rejection framework.

Ratnavel Rajalakshmi, Chandrabose Aravindan

Comput. Intell., 2018

An Effective and Discriminative Feature Learning for URL Based Web Page Classification.

Ratnavel Rajalakshmi, Chandrabose Aravindan

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Deep Learning Approach to English-Tamil and Hindi-Tamil Verb Phrase Translations.

D. Thenmozhi, B. Senthil Kumar, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2018, 2018

Multi-lingual Author Profiling on SMS Messages using Machine Learning Approach with Statistical Feature Selection.

Durairaj Thenmozhi, Kalaivani Adaikkan, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2018, 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

Proceedings of the Working Notes of FIRE 2018, 2018

A Machine Learning Approach to Indian Native Language Identification.

D. Thenmozhi, S. Kayalvizhi, Chandrabose Aravindan

Proceedings of the Working Notes of FIRE 2018, 2018

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

Proceedings of the Working Notes of CLEF 2018, 2018

2017

Deep Learning for Skin Lesion Classification.

Palaniappan Mirunalini, Chandrabose Aravindan, Vignesh Gokul, S. M. Jaisakthi

CoRR, 2017

Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique.

S. M. Jaisakthi, Chandrabose Aravindan, Palaniappan Mirunalini

CoRR, 2017

SSN_NLP@INLI-FIRE-2017: A Neural Network Approach to Indian Native Language Identification.

D. Thenmozhi, Kawshik Kannan, Chandrabose Aravindan

Proceedings of the Working notes of FIRE 2017, 2017

A Text Similarity Approach for Precedence Retrieval from Legal Documents.

D. Thenmozhi, Kawshik Kannan, Chandrabose Aravindan

Proceedings of the Working notes of FIRE 2017, 2017

2016

Stopping criteria for MAPLS-AW, a hybrid multi-objective evolutionary algorithm.

J. Bhuvana, Chandrabose Aravindan

Soft Comput., 2016

Memetic algorithm with Preferential Local Search using adaptive weights for multi-objective optimization problems.

J. Bhuvana, Chandrabose Aravindan

Soft Comput., 2016

Development of KSVGRNN: A hybrid soft computing technique for estimation of boiler flue gas components.

Ramakalyan Ayyagari, A. Sivakumar, Chandrabose Aravindan, K. Kannan, V. Swaminathan, D. Sarala

J. Ind. Inf. Integr., 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

Paraphrase Identification by Using Clause-Based Similarity Features and Machine Translation Metrics.

D. Thenmozhi, Chandrabose Aravindan

Comput. J., 2016

An Automatic and Clause-Based Approach to Learn Relations for Ontologies.

D. Thenmozhi, Chandrabose Aravindan

Comput. J., 2016

Feature Engineering and Characterization of Classifiers for Consumer Health Information Search.

D. Thenmozhi, Palaniappan Mirunalini, Chandrabose Aravindan

Proceedings of the Text Processing, 2016

Decision Tree Approach for Consumer Health Information Search.

D. Thenmozhi, Palaniappan Mirunalini, Chandrabose Aravindan

Proceedings of the Working notes of FIRE 2016, 2016

2013

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

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

Face detection using data and sensor fusion techniques.

S. M. Jaisakthi, Chandrabose Aravindan

Proceedings of the Third International Conference of Soft Computing and Pattern Recognition, 2011

Preferential local search with adaptive weights in evolutionary algorithms for multiobjective optimization problems.

J. Bhuvana, Chandrabose Aravindan

Proceedings of the Third International Conference of Soft Computing and Pattern Recognition, 2011

A contour based scheme for representing arbitrary shapes in digital images.

B. Rajesh Kanna, Chandrabose Aravindan, Kirthivasan Kannan

Proceedings of the ICWET '11 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 25, 2011

2010

Root Mean Square filter for noisy images based on hyper graph model.

Kirthivasan Kannan, B. Rajesh Kanna, Chandrabose Aravindan

Image Vis. Comput., 2010

2008

Design of a Scalable, Fault Tolerant, Heterogeneous and Secured Distributed Storage Framework.

C. L. J. Jerre Louis, Chandrabose Aravindan

Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, 2008

2003

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

2000

Theorem Proving Techniques for View Deletion in Databases.

Chandrabose Aravindan, Peter Baumgartner

J. Symb. Comput., 2000

1997

DisLoP: A Research Project on Disjunctive Logic Programming.

Chandrabose Aravindan, Jürgen Dix, Ilkka Niemelä

AI Commun., 1997

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

Chandrabose Aravindan

AI Commun., 1997

A Rational and Efficient Algorithm for View Deletion in Databases.

Chandrabose Aravindan, Peter Baumgartner

Proceedings of the Logic Programming, 1997

Dislop: Towards a Disjunctive Logic Programming System.

Chandrabose Aravindan, Jürgen Dix, Ilkka Niemelä

Proceedings of the Logic Programming and Nonmonotonic Reasoning, 1997

1996

DisLoP: A Disjunctive Logic Programming System Based on PROTEIN Theorem Prover.

Chandrabose Aravindan

Proceedings of the KI-96: Advances in Artificial Intelligence, 1996

An Abductive Framework for Negation in Disjunctive Logic Programming.

Chandrabose Aravindan

Proceedings of the Logics in Artificial Intelligence, European Workshop, 1996

On Merging Theorem Proving and Logic Programming Paradigms (Poster Abstract).

Chandrabose Aravindan, Peter Baumgartner, Jürgen Dix, Ulrich Furbach, Gerd Neugebauer, Ilkka Niemelä, Dorothea Schäfer, Frieder Stolzenburg

Proceedings of the Logic Programming, 1996

1995

On the Correctness of Unfold/Fold Transformation of Normal and Extended Logic Programs.

Chandrabose Aravindan, Phan Minh Dung

J. Log. Program., 1995

Knowledge base dynamics, Abduction and Databases updates.

Phan Minh Dung, Chandrabose Aravindan

J. Appl. Non Class. Logics, 1995

1994

Partial Deduction of Logic Programs wrt Well-Founded Semantics.

Chandrabose Aravindan, Phan Minh Dung

New Gener. Comput., 1994

Belief Dynamics, Abduction, and Database.

Chandrabose Aravindan, Phan Minh Dung

Proceedings of the Logics in Artificial Intelligence, European Workshop, 1994