Publications
Hariharan RamakrishnaIyer LekshmiAmmal, Manikandan Ravikiran , Gayathri Nisha, Navyasree Balamuralidhar, Adithya Madhusoodanan, Anand Kumar Madasamy, Bharathi Raja Chakravarthi: Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detection . CoRR abs/2204.05488 (2022)
Manikandan Ravikiran , Bharathi Raja Chakravarthi Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction. Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages. Association for Computational Linguistics, 2022. (To Appear)
Hariharan R L, Anand Kumar Madasamy, Manikandan Ravikiran . NIT-IT_NLP@TamilNLP-ACL2022: Transformer based model for Toxic span Identification in Tamil. Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages. Association for Computational Linguistics, 2022. (To Appear)
Manikandan Ravikiran , Bharathi Raja Chakravarthi, Anand Kumar Madasamy, Sangeetha Sivanesan, Ratnavel Rajalakshmi, Sajeetha Thavareesa. Findings of the Shared Task on Offensive Span Identification in Code-Mixed Tamil-English Comments. Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages. Association for Computational Linguistics, 2022. (To Appear)
Manikandan Ravikiran , Siddarth Vohra, Yuichi Nonaka, Sharath Kumar, Shibashish Sen, Nestor Mariyasagayam, Kingshuk Banerjee You Reap What You Sow: Revisitng Intra-Class Variations and Seed Selection in the Context of Temporal Ensembling. In Proceedings of the 2nd International Conference on Frontiers in Computing and Systems (COMSYS-2021).
Manikandan Ravikiran , Subbiah Annamalai DOSA: Dravidian Code-Mixed Offensive Span Identification Dataset . In Proceedings of the The First Workshop on Speech and Language Technologies for Dravidian Languages, EACL (2021)
Manikandan Ravikiran , Yuichi Nonaka, Nestor Mariyasagayam. A Sensitivity Analysis of DeepSORT for Low Frame Rate Video . Special Session on Machine Learning for Big Data, IEEE International Conference on Big Data (2020).
Siddharth Vohra and Manikandan Ravikiran . Investigating the Effect of Intraclass Variability in Temporal Ensembling . ArXiv abs/2008.08956 (2020)
Manikandan Ravikiran, Amin Ekant Muljibhai, Toshinori Miyoshi, Hiroaki Ozaki, Yuta Koreeda, and Sakata Masayuki. 2020. Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels using Statistical Sampling and Post-Processing. In Proceedings of the International Workshop on Semantic Evaluation (SemEval).
Manikandan Ravikiran. Keyphrase Rubric Relationship Classification in Complex Assignments. ArXiv abs/2004.01549 (2020).
Manikandan Ravikiran. Key Phrase Classification in Complex Assignments. ArXiv abs/2003.07019 (2020).
Manikandan Ravikiran. What’s happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review. ArXiv abs/2001.09830 (2020)
Manikandan Ravikiran. Systematic Review of Approaches to Improve Peer Assessment at Scale. ArXiv abs/2001.10617 (2020)
Manikandan Ravikiran, Krishna Madgula. Fusing Deep Quick Response Code Representations Improves Malware Text Classification, Proceedings of the ACM Workshop on Crossmodal Learning and Application,2019.
Pravendra Singh, Manikandan Ravikiran, Neeraj Matyali, Vinay P Namboodiri, Multilayer Pruning Framework for Compressing Single Shot Multibox Detector, IEEE Winter Conference on Applications of Computer Vision, Hawaii, USA 2019
Martin Klinkigt, Duy-Dinh Le, Hiroike Atsushi, Hung-Quoc Vo, Vinh-Tiep Nguyen,Tomokazu Murakami, Tien-Van Do, Tomoaki Yoshinaga, Duy-Nhat Nguyen, Sinha Saptarshi, Thanh-Duc Ngo, Charles Limasanches, Tushar Agrawal, Jian Manish Vora, Manikandan Ravikiran, Zheng Wang, Shinichi Satoh, NII Hitachi UIT at TRECVID 2019, TRECVID 2019
Manikandan Ravikiran, Yet Another Production System for solving 2x2 Ravens Progressive Matrices, Working Paper, 2019
Manikandan Ravikiran, Towards State-of-the-Art Object Detection: A Multistage Improvement of Single Shot Multibox Detector, First Hitachi Artificial Intelligence Conference, Santa Clara, USA 2019
Manikandan Ravikiran, Shibashish Sen, Enhancing Image Representations for Occluded Face Recognition via Reference Conditioned Low-Rank projection, 48th Annual IEEE AIPR 2019: Cognition, Collaboration, and CloudWashington, D.C. October 15-17, 2019
Manikandan Ravikiran, Shibashish Sen, Improving Industrial Safety Gear Detection through Re-ID conditioned Detector, 48th Annual IEEE AIPR 2019: Cognition, Collaboration, and CloudWashington, D.C. October 15-17, 2019
Manikandan Ravikiran, A Production System to (almost) solve 3x3 Ravens Progressive Matrices , Working Paper, 2019
Manikandan Ravikiran, Occam’s Razor - Simple approaches solve 3x3 Raven’s Progressive Matrices , Working Paper, 2019
Manikandan Ravikiran, Madgula Krishna, Snehanshu Saha. TeamDL at SemEval-2018 Task 8: Cybersecurity text analysis using convolutional neural network and conditional random fields, Proceedings of the 12th International Workshop on Semantic Evaluation,2018.
Sang Phan, Zheng Wang, Aimin Su, Martin Klinkigt, Mohit Chabbra, Manikandan Ravikiran, Duy Dinh Le and Shinichi Satoh. NII Hitachi UIT at TRECVID 2018, Proceedings of TRECVID 2018, NIST, USA, 2018
Manikandan Ravikiran, Traffic Sign Detection - How well does SSD fare up? An Empirical Study, 47th Annual IEEE AIPR, Ubiquitous Imaging ,Washington D.C., USA, 2018
Sarath Ramachandran, Manikandan Ravikiran,Yoshiki Niwa. Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes, Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017),2017.
Sarath Ramachandran, Manikandan Ravikiran, Yoshiki Niwa. Hitachi at Semeval-2016 task 12: A hybrid approach for temporal information extraction from clinical notes, Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016),2016.
Manikandan Ravikiran, Sneha Mani. Toxic Comment Classification-An Empirical Study. Working Paper. 2016
Snehanshu Saha, Surbhi Agrawal,Manikandan Ravikiran, Kakoli Bora, Swati Routh, Anand Narasimhamurthy. ASTROMLSKIT: A New Statistical Machine Learning Toolkit: A Platform for Data Analytics in Astronomy. ArXiv, abs/1504.07865.