Dr. Chandra Mohan D

International Journals

• Dheeraj Kodati and Chandra Mohan Dasari. “Negative emotion detection on social media during the peak time of COVID-19 through deep learning with an auto-regressive transformer”. Engineering Applications of Artificial Intelligence. 2023
• KaushikBhargavSivangi,SanthoshAmilpur, Chandra Mohan Dasari. “ReGen-DTI: A novel drug target interaction model for predicting potential drug candidates induced by generative network against SARS-COV2”. Computational Biology and Chemistry. Volume 106, October 2023, 107927
• Raju Bhukya, Archana Kumari, Chandra Mohan Dasari, and Santhosh Amilpur. "An attention-based hybrid deep neural networks for accurate identification of transcription factor binding sites." Neural Computing and Applications (2022): 1-10.
• Varanasi, LVSKB Kasyap, and Chandra Mohan Dasari. "Deep Learning based techniques for Neuro-degenerative disorders detection." Engineering Applications of Artificial Intelligence 122 (2023):106103.
• Raju Bhukya, Archana Kumari, Santhosh Amilpur, Chandra Mohan Dasari. “PPred-PCKSM: A multi-layer promoter predictor for determining promoter and its variants using position based features”. Computational Biology and Chemistry. Elsiever, Volume 97, April 2022, 107623.
• Kaushik Bhargav Sivangi, Chandra Mohan Dasari, Santhosh Amilpur and Raju Bhukya. “NoAS-DS: Neural Optimal Architecture Search for detection of diverse DNA Signals”. Neural Networks. Elsiever, Volume 147, March 2022, 63-71.
• Chandra Mohan Dasari, Santhosh Amilpur and Raju Bhukya. “Exploring variable-length features (motifs) for predicting binding sites through interpretable deep neural networks”. Engineering Applications of Artificial Intelligence. Elsevier, Volume 106, 15 Nov-2021,104485.
• Chandra Mohan Dasari, and Raju Bhukya. “Explainable deep neural networks for novel viral genome prediction”. Applied Intelligence. Springer, Volume 52, 24 May-2021, 3002–3017.
• Chandra Mohan Dasari, and Raju Bhukya. “MapReduce Paradigm: DNA Sequence Clustering based on Repeats as Features”. Expert Systems. Wiley, Volume 39, 12827, 12 August-2021.
• Chandra Mohan Dasari, and Raju Bhukya. “InterSSPP: Investigating patterns through interpretable deep neural networks for accurate splice signal prediction”. Chemometrics and Intelligent Laboratory Systems. Elsevier, Volume 206, 15 November, 2020,104144.
• Chandra Mohan Dasari, and Raju Bhukya. “Comparative analysis of protein synthesis rate in COVID-19 with other human coronaviruses”. Infection, Genetics and Evolution. Elsevier, Volume 85, November, 2020, 104432.

Conference Papers

• Chandra Mohan Dasari, and Raju Bhukya. “Disease Diagnosis based on Various Pattern Frequency from Extracted Exons”. 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Bangalore, India. Oct 7-9, 2022.
• L V S K B Kasyap Varanasi and Chandra Mohan Dasari. “ PsychNet: Explainable Deep Neural Networks for Psychiatric Disorders and Mental Illess”. 2022 IEEE 6th Conference on Information and Communication Technology (CICT-2022). Nov 18-20, 2022.
• L V S K B Kasyap Varanasi and Chandra Mohan Dasari. “A Novel Deep Learning Framework for Diabetic Retinopathy Detection ”. 2022 IEEE 6th Conference on Information and Communication Technology (CICT-2022), Nov 18-20, 2022.
• Krishna Siva Prasad M, Chandra Mohan Dasari, Dr. Nilesh Chandra K Pikle, Dr. Snehal B. “Path and Information Content based Semantic Similarity Measure to Estimate Word-Pair Similarity”. The International Conference on “Applied Mechanics, Machine Learning and Advanced Computation (AMMLAC 2022)”. 2022. (Accepted).
• Chandra Mohan D, Dipankar Das and Prof. Sivaji Bandyopadhyay. “Emotion Argumentation”. IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS). 2015.
• Chandra Mohan Dasari, and Sadanandam M. “Pronominal Anaphora Resolution Resolution for Telugu Language: Rules based on Syntactic Cues”. Proceedings of International conference on Photonics, VLSI and Signal processing ICPVS-2014. pp: 238-244. 2014.
• Chandra Mohan Dasari, Dipankar Das and Prof. Sivaji Bandyopadhyay. “Topic Identification from Blog Documents: Roles of Bigram, Named Entity and Sentiment”. LREC workshop on Information Access Technologies for Online Reputation Management. pp. 19-24. 2012.
• Dipankar Das, Soujanya Poria, Chandra Mohan Dasari and Sivaji Bandyopadhyay. “Building Resources for Multilingual Affect Analysis – A Case Study on Hindi, Bengali and Telugu”. LREC ES3 4th International workshop on Corpora for Research on Emotion Sentiment. pp. 54-61. 2012.

Book Chapters

• Santhosh Amilpur and Chandra Mohan Dasari. “Deep network based drug target interaction model to identify potential drug molecules against COVID-19”. AMHM-2023: Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications. Taylor and Francis, CRC press, Scopus Indexed. (Accepted)