Chandra Mohan Dasari

According to our database, Chandra Mohan Dasari authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Detecting critical diseases associated with higher mortality in electronic health records using a hybrid attention-based transformer.

Kodati Dheeraj, Chandra Mohan Dasari

Eng. Appl. Artif. Intell., 2025

Genomic Variant Classification for MECP2 Mutation Pathogenicity.

Srinivas Mallampalli, Chandra Mohan Dasari

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2025

2024

Negative emotion detection on social media during the peak time of COVID-19 through deep learning with an auto-regressive transformer.

Kodati Dheeraj, Chandra Mohan Dasari

Eng. Appl. Artif. Intell., January, 2024

Explainable Graph Neural Networks to Identify Potential Atoms and Chemical Bonds of Drug Candidates from Drug Target Interactions.

Satansu Mohanty, Chandra Mohan Dasari

Proceedings of the Big Data and Artificial Intelligence - 12th International Conference, 2024

2023

ReGen-DTI: A novel generative drug target interaction model for predicting potential drug candidates against SARS-COV2.

Kaushik Bhargav Sivangi, Santhosh Amilpur, Chandra Mohan Dasari

Comput. Biol. Chem., October, 2023

Deep Learning based techniques for Neuro-degenerative disorders detection.

Varanasi L. V. S. K. B. Kasyap, Chandra Mohan Dasari

Eng. Appl. Artif. Intell., 2023

2022

NoAS-DS: Neural optimal architecture search for detection of diverse DNA signals.

Kaushik Bhargav Sivangi, Chandra Mohan Dasari, Santhosh Amilpur, Raju Bhukya

Neural Networks, 2022

An attention-based hybrid deep neural networks for accurate identification of transcription factor binding sites.

Raju Bhukya, Archana Kumari, Chandra Mohan Dasari, Santhosh Amilpur

Neural Comput. Appl., 2022

MapReduce paradigm: DNA sequence clustering based on repeats as features.

Chandra Mohan Dasari, Raju Bhukya

Expert Syst. J. Knowl. Eng., 2022

PPred-PCKSM: A multi-layer predictor for identifying promoter and its variants using position based features.

Raju Bhukya, Archana Kumari, Santhosh Amilpur, Chandra Mohan Dasari

Comput. Biol. Chem., 2022

Explainable deep neural networks for novel viral genome prediction.

Chandra Mohan Dasari, Raju Bhukya

Appl. Intell., 2022

2021

Exploring variable-length features (motifs) for predicting binding sites through interpretable deep neural networks.

Chandra Mohan Dasari, Santhosh Amilpur, Raju Bhukya

Eng. Appl. Artif. Intell., 2021