Attention embedded residual CNN for disease detection in tomato leaves. - Karthik R 001; Hariharan Manikandan; Sundar Anand; Priyanka Mathikshara; Annie Johnson 001; Menaka R 001 (Appl. Soft Comput., 2020)

Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN. - R. Karthik 001; R. Menaka 001; Hariharan Manikandan (Appl. Soft Comput., 2021)

Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN. - R. Karthik 001; R. Menaka 001; Hariharan Manikandan; Daehan Won (Comput. Methods Programs Biomed., 2021)

Multi-context Attention Fusion Neural Network for Software Vulnerability Identification. - Anshul Tanwar; Hariharan Manikandan; Krishna Sundaresan; Prasanna Ganesan; Sathish Kumar Chandrasekaran; Sriram Ravi (CoRR, 2021)

Assessing Validity of Static Analysis Warnings using Ensemble Learning. - Anshul Tanwar; Hariharan Manikandan; Krishna Sundaresan; Prasanna Ganesan; Sathish Kumar Chandrasekaran; Sriram Ravi (CoRR, 2021)

CT-based severity assessment for COVID-19 using weakly supervised non-local CNN. - R. Karthik 001; Menaka R 001; Hariharan Manikandan; Daehan Won (Appl. Soft Comput., 2022)

Proximal Instance Aggregator networks for explainable security vulnerability detection. - Hariharan Manikandan; Sathish Kumar Chandrasekaran; Anshul Tanwar; Krishna Sundaresan; Prasanna Ganesan; Sriram Ravi; R. Karthik 001 (Future Gener. Comput. Syst., 2022)

Contour-enhanced attention CNN for CT-based COVID-19 segmentation. - R. Karthik 001; R. Menaka 001; Hariharan Manikandan; Daehan Won (Pattern Recognit., 2022)

Language Models are Weak Learners. - Hariharan Manikandan; Yiding Jiang; J. Zico Kolter (NeurIPS, 2023)

Detecting log anomaly using subword attention encoder and probabilistic feature selection. - Hariharan Manikandan; Abhinesh Mishra; Sriram Ravi; Ankita Sharma; Anshul Tanwar; Krishna Sundaresan; Prasanna Ganesan; R. Karthik 001 (Appl. Intell., 2023)