NII_HITACHI_UIT at TRECVID 2018. - Sang Phan; Zheng Wang 007; Aimin Su; Martin Klinkigt; Mohit Chabbra; Manikandan Ravikiran; Duy-Dinh Le; Shin'ichi Satoh 001 (TRECVID, 2018)

Improving Industrial Safety Gear Detection through Re-ID conditioned Detector. - Manikandan Ravikiran; Shibashish Sen (AIPR, 2019)

Enhancing Image Representations for Occluded Face Recognition via Reference Conditioned Low-Rank projection. - Shibashish Sen; Manikandan Ravikiran (AIPR, 2019)

NII Hitachi UIT at TRECVID 2019. - Martin Klinkigt; Duy-Dinh Le; Atsushi Hiroike; Hung-Quoc Vo; Mohit Chabra; Vu-Minh-Hieu Dang; Quan Kong; Vinh-Tiep Nguyen; Tomokazu Murakami; Tien-Van Do 002; Tomoaki Yoshinaga; Duy-Nhat Nguyen; et al. (TRECVID, 2019)

A Sensitivity Analysis (and Practitioners' Guide to) of DeepSORT for Low Frame Rate Video. - Manikandan Ravikiran; Yuichi Nonaka; Nestor Mariyasagayam (IEEE BigData, 2020)

Hitachi at SemEval-2020 Task 12: Offensive Language Identification with Noisy Labels Using Statistical Sampling and Post-Processing. - Manikandan Ravikiran; Amin Ekant Muljibhai; Toshinori Miyoshi; Hiroaki Ozaki; Yuta Koreeda; Sakata Masayuki (SemEval@COLING, 2020)

What's happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review. - Manikandan Ravikiran (CoRR, 2020)

Systematic Review of Approaches to Improve Peer Assessment at Scale. - Manikandan Ravikiran (CoRR, 2020)

Key Phrase Classification in Complex Assignments. - Manikandan Ravikiran (CoRR, 2020)

Finding Black Cat in a Coal Cellar - Keyphrase Extraction & Keyphrase-Rubric Relationship Classification from Complex Assignments. - Manikandan Ravikiran (CoRR, 2020)

Investigating the Effect of Intraclass Variability in Temporal Ensembling. - Siddharth Vohra; Manikandan Ravikiran (CoRR, 2020)

Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments. - Manikandan Ravikiran; Bharathi Raja Chakravarthi; Anand Kumar Madasamy; Sangeetha Sivanesan; Ratnavel Rajalakshmi; Sajeetha Thavareesan; Rahul Ponnusamy; Shankar Mahadevan (CoRR, 2022)

Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction. - Manikandan Ravikiran; Bharathi Raja Chakravarthi (CoRR, 2022)

Hi-GoTE: Hierarchical Group-Wise Temporal Ensembling for Semi-Supervised Pedestrian Attribute Recognition. - Manikandan Ravikiran; Soumen Biswas; Ananth Ganesh (ICMLA, 2023)

Context-aware Data Sampling with Reciprocal Nearest Neighbors for Fraud Classification. - Sharath Kumar; Manikandan Ravikiran; Nestor Mariyasagayam (IEEE Big Data, 2024)

DKT: A First Look at Dynamic Kernel Tuning for Pedestrian Attribute Recognition. - Rahul Mishra; Manikandan Ravikiran; Soumen Biswas; Ananth Ganesh (IEEE Big Data, 2024)

Adaptive Ensemble Imputation for Trip Data using Deep Reinforcement Learning (AEI-DRL). - Ankit Sharma; Akhash Vellandurai; Thiruvengadam Samon; Vinoth Kumar; Manikandan Ravikiran (IEEE Big Data, 2024)

Overlapping word removal is all you need: revisiting data imbalance in hope speech detection. - Hariharan RamakrishnaIyer LekshmiAmmal; Manikandan Ravikiran; Gayathri Nisha; Navyasree Balamuralidhar; Adithya Madhusoodanan; Anand Kumar Madasamy; Bharathi Raja Chakravarthi (J. Exp. Theor. Artif. Intell., 2024)

GISA: Gradual Information Selection Attention for MCQ Difficulty Estimation. - Manikandan Ravikiran; Tarun Sharma; Arnav Bhavsar; Rohit Saluja (AIED (1), 2025)

TEEMIL : Towards Educational MCQ Difficulty Estimation in Indic Languages. - Manikandan Ravikiran; Siddharth Vohra; Rajat Verma; Rohit Saluja; Arnav Bhavsar (COLING, 2025)

Towards Transparent AI Grading: Semantic Entropy as a Signal for Human-AI Disagreement. - Karrtik Iyer; Manikandan Ravikiran; Prasanna Pendse; Shayan Mohanty (CoRR, 2025)