Publications
Under review or preprint
Lalith Bharadwaj Baru, Shilhora Akshay Patel, et al. “Dual Metric Contrastive Learning for Self-supervised Visual Recognition,” under review. (link)
Lalith Bharadwaj Baru, and Rohit Boddeda (2022). “A Perspective to Productive Collaboration for Machine Learning Community,” pre-print. (link)
Gnyanesh Bangaru, Lalith Bharadwaj Baru, Kiran Chakravarthula. “Interpreting Bias in the Neural Networks: A Peek Into Representational Similarity,” pre-print. (link)
2024
Mehul Arora et al. (2024). “HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges .” Accepted to International Joint Conference on Neural Networks . (link)
2023
Prantik Deb , Lalith Bharadwaj Baru et al. (2023). “BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision .” Accepted to BrainLes (oral) Workshop at MICCAI. (link)
2022
Lalith Bharadwaj Baru et al. (2022). “Representational Structure of Neural Networks Trained on Biased and Out-Of-Distribution Data.” Accepted to URCV Workshop at British Machine Vision Conference. (link)
G Madhu, SM Gajapaka, Lalith Bharadwaj Baru, A Simple Attention Block Embedded in Standard CNN for Image Classification. 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) (link)
G. Madhu, Lalith Bharadwaj Baru, Rohit Boddeda, Sai Vardhan, K. Sandeep Kautish, Khalid Alnowibet, Adel F. Alrasheedi, Ali Wagdy Mohamed. Deep Stacked Ensemble Learning Model for COVID-19 Classification. 2022 Computers, Materials & Continua (link)
D Srinivasa Rao, Ramesh Babu Ch, V Sravan Kiran, N Rajasekhar, Kalyanapu Srinivas, P Shilhora Akshay, G Sai Mohan, Lalith Bharadwaj Baru Plant Disease Classification Using Deep Bilinear CNN. 2022 INTELLIGENT AUTOMATION AND SOFT COMPUTING (link)
2021
Lalith Bharadwaj Baru, Sai Vardhan Kanumolu, Akshay Patel Shilhora, G Madhu. Improvising the Learning of Neural Networks on Hyperspherical Manifold. LMRL Workshop at NeurIPS 2021 (link)
Nimmala Mangathayaru, Padmaja Rani, Vinjamuri Janaki, Kalyanapu Srinivas, B Mathura Bai, G Sai Mohan, Lalith Bharadwaj Baru, An attention based neural architecture for arrhythmia detection and classification from ecg signals. Comput. Mater. Continua, 2021 (link)
G. Madhu, Lalith Bharadwaj Baru, B Rohit, K Sai Vardhan, Sandeep Kautish, N Pradeep. Convolutional Siamese networks for one-shot malaria parasite recognition in microscopic images. Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics 2021 (link)
2020
Nimmala Mangathayaru, B Padmaja Rani, V Janaki, Shilhora Akshay Patel, G Sai Mohan,Lalith Bharadwaj Baru. An Imperative Diagnostic Framework for PPG Signal Classification Using GRU. 2020 International Conference on Advanced Informatics for Computing Research. (link)
Ch Ramesh Babu, Srinivasa Rao Dammavalam, V Sravan Kiran, N Rajasekhar, Lalith Bharadwaj Baru, Rohit Boddeda, K Sai Vardhan. Deep Bi-linear Convolution Neural Network for Plant Disease Identification and Classification. 2020 International Conference on Advanced Informatics for Computing Research.(link)
Nimmala Mangathayaru, B Padmaja Rani, V Janaki, Sai Mohan Gajapaka, Shilhora Akshay Patel, Lalith Bharadwaj Baru. An Imperative Diagnostic Model for Predicting CHD using Deep Learning. 2020 IEEE International Conference for Innovation in Technology (INOCON). (link)
G Madhu, A Govardhan, B Sunil Srinivas, Shilhora Akshay Patel, B Rohit,Lalith Bharadwaj Baru. Capsule Networks for Malaria Parasite Classification: An Application Oriented Model. 2020 IEEE International Conference for Innovation in Technology (INOCON. (link)
Srinivasa Rao Dammavalam, Ramesh Babu Ch, V Sravan Kiran, Rajasekhar N,Lalith Bharadwaj Baru, Rohit Boddeda, Sai Vardhan K. Leaf Image Classification with the Aid of Transfer Learning: A Deep Learning Approach. 2020 Current Chinese Computer Science. (link)
G Madhu, Lalith Bharadwaj Baru, K Sai Vardhan, G Naga Chandrika. A Normalized Mean Algorithm for Imputation of Missing Data Values in Medical Databases. 2020 Innovations in Electronics and Communication Engineering. (link)
2019
G Madhu, Lalith Bharadwaj Baru,, G Nagachandrika, K Sai Vardhan. A Novel Algorithm for Missing Data Imputation on Machine Learning. 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT). (link)