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ORCIDChandrabose Aravindan
Aravindan Chandrabose
Person information
- affiliation: SSN College of Engineering, Chennai, India
- affiliation (PhD 1995): Asian Institute of Technology, Bangkok, Thailand
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2020 – today
- 2024
[c42]Antony Rajesh, Supriya Abirami, Aravindan Chandrabose, Senthil Kumar:
SSN_Semeval10 at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversations. SemEval@NAACL 2024: 553-557- [c41]Senthil Kumar, Aravindan Chandrabose, Gokulakrishnan B, Karthikraja TP:
NLP_Team1@SSN at SemEval-2024 Task 1: Impact of language models in Sentence-BERT for Semantic Textual Relatedness in Low-resource Languages. SemEval@NAACL 2024: 1854-1859 - 2023
- [j21]S. M. Jaisakthi
, Palaniappan Mirunalini, Chandrabose Aravindan, Rajagopal Appavu:
Classification of skin cancer from dermoscopic images using deep neural network architectures. Multim. Tools Appl. 82(10): 15763-15778 (2023) - [e3]Eunika Mercier-Laurent, Xavier Fernando, Aravindan Chandrabose:
Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems - 7th IFIP TC 12 International Conference, ICCCSP 2023, Chennai, India, January 4-6, 2023, Revised Selected Papers. IFIP Advances in Information and Communication Technology 670, Springer 2023, ISBN 978-3-031-39810-0 [contents] - 2022
- [e2]Erich J. Neuhold, Xavier Fernando, Joan Lu, Selwyn Piramuthu, Aravindan Chandrabose:
Computer, Communication, and Signal Processing - 6th IFIP TC 5 International Conference, ICCCSP 2022, Chennai, India, February 24-25, 2022, Revised Selected Papers. IFIP Advances in Information and Communication Technology 651, Springer 2022, ISBN 978-3-031-11632-2 [contents] - [i3]Karthik Desingu, Palaniappan Mirunalini, Aravindan Chandrabose:
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings. CoRR abs/2210.16954 (2022) - 2021
- [j20]P. Vasuki, Chandrabose Aravindan:
Hierarchical classifier design for speech emotion recognition in the mixed-cultural environment. J. Exp. Theor. Artif. Intell. 33(3): 451-466 (2021) - [c40]Kalaivani Adaikkan, Thenmozhi Durairaj, Aravindan Chandrabose:
TOLD: Tamil Offensive Language Detection in Code-Mixed Social Media Comments using MBERT with Features based Selection. FIRE (Working Notes) 2021: 667-679 - [c39]Senthil Kumar B, Aravindan Chandrabose, Bharathi Raja Chakravarthi:
An Overview of Fairness in Data - Illuminating the Bias in Data Pipeline. LT-EDI@EACL 2021: 34-45 - 2020
- [c38]Rishivardhan K, Kayalvizhi S, D. Thenmozhi, Sachin Krishan, Chandrabose Aravindan:
Transformers in Semantic Indexing of Clinical Codes. CLEF (Working Notes) 2020 - [c37]Kayalvizhi S, Thenmozhi D, Aravindan Chandrabose:
SSN NLP @ SardiStance : Stance Detection from Italian Tweets using RNN and Transformers (short paper). EVALITA 2020 - [c36]Kayalvizhi S, Thenmozhi D, Chandrabose Aravindan:
Best Matching Algorithm to Identify and Rank the Relevant Statutes. FIRE (Working Notes) 2020: 31-34 - [c35]Kayalvizhi S, D. Thenmozhi, Chandrabose Aravindan:
SSN_NLP at SemEval-2020 Task 7: Detecting Funniness Level Using Traditional Learning with Sentence Embeddings. SemEval@COLING 2020: 865-870 - [e1]Aravindan Chandrabose, Ulrich Furbach, Ashish Ghosh, Anand Kumar M:
Computational Intelligence in Data Science - Third IFIP TC 12 International Conference, ICCIDS 2020, Chennai, India, February 20-22, 2020, Revised Selected Papers. IFIP Advances in Information and Communication Technology 578, Springer 2020, ISBN 978-3-030-63466-7 [contents]
2010 – 2019
- 2019
- [j19]Palaniappan Mirunalini, Chandrabose Aravindan, S. M. Jaisakthi:
Automatic stenosis detection using SVM from CTA projection images. Multim. Syst. 25(2): 83-93 (2019) - [c34]R. Rajalakshmi, Joel Raymann, Aneesh Prabu, Chandrabose Aravindan:
Deep URL: design of adult URL classifier using deep neural network. AISS 2019: 20:1-20:5 - [c33]S. M. Jaisakthi, Palaniappan Mirunalini, Chandrabose Aravindan:
Coral Reef Annotation and Localization using Faster R-CNN. CLEF (Working Notes) 2019 - [c32]S. Kayalvizhi, D. Thenmozhi, Chandrabose Aravindan:
Deep Learning Approach for Semantic Indexing of Animal Experiments Summaries in German Language. CLEF (Working Notes) 2019 - [c31]Nanda H. Krishna, Praveen Kumar R, Ram Kaushik R, Palaniappan Mirunalini, Chandrabose Aravindan, S. M. Jaisakthi:
Species Recommendation using Machine Learning - GeoLifeCLEF 2019. CLEF (Working Notes) 2019 - [c30]Akshaya Ranganathan, Haritha A, D. Thenmozhi, Chandrabose Aravindan:
Early Detection of Anorexia using RNN-LSTM and SVM Classifiers. CLEF (Working Notes) 2019 - [c29]D. Thenmozhi, Chandrabose Aravindan, Abishek Shyamsunder, Adithya Viswanathan, Akash Kumar Pujari:
Extracting Protests from News Using LSTM models with different Attention Mechanisms. CLEF (Working Notes) 2019 - [c28]S. Kayalvizhi, D. Thenmozhi, Chandrabose Aravindan:
Legal Assistance using Word Embeddings. FIRE (Working Notes) 2019: 36-39 - [c27]Haritha Ananthakrishnan, Akshaya Ranganathan, D. Thenmozhi, Chandrabose Aravindan:
Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding. FIRE (Working Notes) 2019: 100-104 - [c26]S. Kayalvizhi, D. Thenmozhi, B. Senthil Kumar, Chandrabose Aravindan:
SSN_NLP@IDAT-FIRE-2019: Irony Detection in Arabic Tweets using Deep Learning and Features-based Approaches. FIRE (Working Notes) 2019: 439-444 - [c25]Akshaya Ranganathan, Haritha Ananthakrishnan, D. Thenmozhi, Chandrabose Aravindan:
Classification of Insincere Questions using SGD Optimization and SVM Classifiers. FIRE (Working Notes) 2019: 463-467 - [c24]B. Senthil Kumar, D. Thenmozhi, Chandrabose Aravindan, Srinethe Sharavanan:
SSN_NLP at SemEval-2019 Task 3: Contextual Emotion Identification from Textual Conversation using Seq2Seq Deep Neural Network. SemEval@NAACL-HLT 2019: 318-323 - [c23]D. Thenmozhi, B. Senthil Kumar, Srinethe Sharavanan, Chandrabose Aravindan:
SSN_NLP at SemEval-2019 Task 6: Offensive Language Identification in Social Media using Traditional and Deep Machine Learning Approaches. SemEval@NAACL-HLT 2019: 739-744 - [c22]Palaniappan Mirunalini, Chandrabose Aravindan, A. Thamizh Nambi, S. Poorvaja, V. Pooja Priya:
Segmentation of Coronary Arteries from CTA axial slices using Deep Learning techniques. TENCON 2019: 2074-2080 - 2018
- [j18]Ratnavel Rajalakshmi, Chandrabose Aravindan:
A Naive Bayes approach for URL classification with supervised feature selection and rejection framework. Comput. Intell. 34(1): 363-396 (2018) - [j17]S. M. Jaisakthi, Palaniappan Mirunalini, Chandrabose Aravindan:
Automated skin lesion segmentation of dermoscopic images using GrabCut and k-means algorithms. IET Comput. Vis. 12(8): 1088-1095 (2018) - [c21]Nithish B. Moudhgalya, S. Sharan Sundar, Siddharth Divi, Palaniappan Mirunalini, Chandrabose Aravindan, S. M. Jaisakthi:
Convolutional Long Short-Term Memory Neural Networks for Hierarchical Species Prediction. CLEF (Working Notes) 2018 - [c20]D. Thenmozhi, S. Kayalvizhi, Chandrabose Aravindan:
A Machine Learning Approach to Indian Native Language Identification. FIRE (Working Notes) 2018: 68-76 - [c19]D. Thenmozhi, Senthil Kumar, Chandrabose Aravindan:
SSN_NLP@IECSIL-FIRE-2018: Deep Learning Approach to Named Entity Recognition and Relation Extraction for Conversational Systems in Indian Languages. FIRE (Working Notes) 2018: 187-201 - [c18]Durairaj Thenmozhi, Kalaivani Adaikkan, Chandrabose Aravindan:
Multi-lingual Author Profiling on SMS Messages using Machine Learning Approach with Statistical Feature Selection. FIRE (Working Notes) 2018: 223-231 - [c17]D. Thenmozhi, B. Senthil Kumar, Chandrabose Aravindan:
Deep Learning Approach to English-Tamil and Hindi-Tamil Verb Phrase Translations. FIRE (Working Notes) 2018: 323-331 - [c16]Ratnavel Rajalakshmi, Chandrabose Aravindan:
An Effective and Discriminative Feature Learning for URL Based Web Page Classification. SMC 2018: 1374-1379 - 2017
- [c15]D. Thenmozhi, Kawshik Kannan, Chandrabose Aravindan:
A Text Similarity Approach for Precedence Retrieval from Legal Documents. FIRE (Working Notes) 2017: 90-91 - [c14]D. Thenmozhi, Kawshik Kannan, Chandrabose Aravindan:
SSN_NLP@INLI-FIRE-2017: A Neural Network Approach to Indian Native Language Identification. FIRE (Working Notes) 2017: 113-114 - [i2]S. M. Jaisakthi, Chandrabose Aravindan, Palaniappan Mirunalini:
Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique. CoRR abs/1703.04301 (2017) - [i1]Palaniappan Mirunalini, Chandrabose Aravindan, Vignesh Gokul, S. M. Jaisakthi:
Deep Learning for Skin Lesion Classification. CoRR abs/1703.04364 (2017) - 2016
- [j16]D. Thenmozhi, Chandrabose Aravindan:
An Automatic and Clause-Based Approach to Learn Relations for Ontologies. Comput. J. 59(6): 889-907 (2016) - [j15]D. Thenmozhi, Chandrabose Aravindan:
Paraphrase Identification by Using Clause-Based Similarity Features and Machine Translation Metrics. Comput. J. 59(9): 1289-1302 (2016) - [j14]Mohanavalli Subramaniam, S. M. Jaisakthi, Chandrabose Aravindan:
Automatic Scale Parameters in Affinity Matrix Construction for Improved Spectral Clustering. Int. J. Pattern Recognit. Artif. Intell. 30(10): 1650023:1-1650023:16 (2016) - [j13]Ramakalyan Ayyagari, A. Sivakumar, Chandrabose Aravindan, K. Kannan, V. Swaminathan, D. Sarala:
Development of KSVGRNN: A hybrid soft computing technique for estimation of boiler flue gas components. J. Ind. Inf. Integr. 4: 42-51 (2016) - [j12]J. Bhuvana, Chandrabose Aravindan:
Memetic algorithm with Preferential Local Search using adaptive weights for multi-objective optimization problems. Soft Comput. 20(4): 1365-1388 (2016) - [j11]J. Bhuvana, Chandrabose Aravindan:
Stopping criteria for MAPLS-AW, a hybrid multi-objective evolutionary algorithm. Soft Comput. 20(6): 2409-2432 (2016) - [c13]D. Thenmozhi, Palaniappan Mirunalini, Chandrabose Aravindan:
Feature Engineering and Characterization of Classifiers for Consumer Health Information Search. FIRE Workshop 2016: 182-196 - [c12]D. Thenmozhi, Palaniappan Mirunalini, Chandrabose Aravindan:
Decision Tree Approach for Consumer Health Information Search. FIRE (Working Notes) 2016: 221-225 - 2013
- [j10]C. Premalatha, Chandrabose Aravindan, R. Karthikeyan, Kirthivasan Kannan, M. Surianarayanan:
A computational model for enhancing recombinant Penicillin G Acylase production from Escherichia coli DH5α. Comput. Biol. Chem. 46: 39-47 (2013) - 2011
- [j9]Gurusamy Prema, Chandrabose Aravindan, Kirthivasan Kannan, Rathinam Maheswaran:
Empirical Modeling and Simulation of Temporal Based Adaptive Mobility Model for MANET. Int. J. Commun. Netw. Syst. Sci. 4(4): 232-240 (2011) - [c11]B. Rajesh Kanna, Chandrabose Aravindan, Kirthivasan Kannan:
A contour based scheme for representing arbitrary shapes in digital images. ICWET 2011: 535-540 - [c10]S. M. Jaisakthi, Chandrabose Aravindan:
Face detection using data and sensor fusion techniques. SoCPaR 2011: 274-279 - [c9]J. Bhuvana, Chandrabose Aravindan:
Preferential local search with adaptive weights in evolutionary algorithms for multiobjective optimization problems. SoCPaR 2011: 358-363 - 2010
- [j8]Kirthivasan Kannan, B. Rajesh Kanna, Chandrabose Aravindan:
Root Mean Square filter for noisy images based on hyper graph model. Image Vis. Comput. 28(9): 1329-1338 (2010)
2000 – 2009
- 2008
- [c8]C. L. J. Jerre Louis, Chandrabose Aravindan:
Design of a Scalable, Fault Tolerant, Heterogeneous and Secured Distributed Storage Framework. ICETET 2008: 1313-1316 - 2003
- [j7]S. Balakrishnan, P. S. Kannan, Chandrabose Aravindan, P. Subathra:
On-line emission and economic load dispatch using adaptive Hopfield neural network. Appl. Soft Comput. 2(4): 297-305 (2003) - 2000
- [j6]Chandrabose Aravindan, Peter Baumgartner:
Theorem Proving Techniques for View Deletion in Databases. J. Symb. Comput. 29(2): 119-147 (2000)
1990 – 1999
- 1997
- [j5]Chandrabose Aravindan:
Fifth European Workshop on Logics in Artificial Intelligence (JELIA '96), Evora, Portugal, 30 September-3 October 1996. AI Commun. 10(1): 63-65 (1997) - [j4]Chandrabose Aravindan, Jürgen Dix, Ilkka Niemelä:
DisLoP: A Research Project on Disjunctive Logic Programming. AI Commun. 10(3-4): 151-165 (1997) - [c7]Chandrabose Aravindan, Jürgen Dix, Ilkka Niemelä:
Dislop: Towards a Disjunctive Logic Programming System. LPNMR 1997: 342-353 - [c6]Chandrabose Aravindan, Peter Baumgartner:
A Rational and Efficient Algorithm for View Deletion in Databases. ILPS 1997: 165-179 - 1996
- [c5]Chandrabose Aravindan, Peter Baumgartner, Jürgen Dix, Ulrich Furbach, Gerd Neugebauer, Ilkka Niemelä, Dorothea Schäfer, Frieder Stolzenburg:
On Merging Theorem Proving and Logic Programming Paradigms (Poster Abstract). JICSLP 1996: 546 - [c4]Chandrabose Aravindan:
An Abductive Framework for Negation in Disjunctive Logic Programming. JELIA 1996: 252-267 - [c3]Chandrabose Aravindan:
DisLoP: A Disjunctive Logic Programming System Based on PROTEIN Theorem Prover. KI 1996: 19-23 - 1995
- [j3]Phan Minh Dung, Chandrabose Aravindan:
Knowledge base dynamics, Abduction and Databases updates. J. Appl. Non Class. Logics 5(1): 51-76 (1995) - [j2]Chandrabose Aravindan, Phan Minh Dung:
On the Correctness of Unfold/Fold Transformation of Normal and Extended Logic Programs. J. Log. Program. 24(3): 201-217 (1995) - 1994
- [j1]Chandrabose Aravindan, Phan Minh Dung:
Partial Deduction of Logic Programs wrt Well-Founded Semantics. New Gener. Comput. 13(1): 45-74 (1994) - [c2]Chandrabose Aravindan, Phan Minh Dung:
Belief Dynamics, Abduction, and Database. JELIA 1994: 66-85 - 1992
- [c1]Chandrabose Aravindan, Phan Minh Dung:
Partial Deduction of Logic Programs wrt Well-Founded Semantics. ALP 1992: 384-402
Coauthor Index
Mirunalini Palaniappan
aka: Palaniappan Mirunalini
aka: Palaniappan Mirunalini
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