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D. Teja Santosh

Teja Santosh Dandibhotla

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affiliation: Sreenidhi Institute of Science and Technology, Hyderabad, India

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Journal Articles

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2022
[j4]
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  - journals/cee/AlganiBESCPPKNS22
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  - https://dblp.org/rec/journals/cee/AlganiBESCPPKNS22
Yousef Methkal Abd Algani, K. Boopalan, G. Elangovan, D. Teja Santosh, K. Chanthirasekaran, Indrajit Patra, N. Pughazendi, B. Kiranbala, R. Nikitha, M. Saranya:
Autonomous service for managing real time notification in detection of COVID-19 virus. Comput. Electr. Eng. 101: 108117 (2022)
2019
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K. C. Ravi Kumar, D. Teja Santosh, B. Vishnu Vardhan:
Determining the semantic orientation of opinion words using typed dependencies for opinion word senses and SentiWordNet scores from online product reviews. Int. J. Knowl. Web Intell. 6(2): 89-105 (2019)
2018
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Chiranjeevi Pandi, Teja Santosh Dandibhotla, Vishnu Vardhan Bulusu:
Reputation based online product recommendations. Ingénierie des Systèmes d Inf. 23(5): 81-103 (2018)
2016
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D. Teja Santosh, B. Vishnu Vardhan:
PROO ontology development for learning feature specific sentiment relationship rules on reviews categorisation: a semantic data mining approach. Int. J. Metadata Semant. Ontologies 11(1): 29-38 (2016)

Conference and Workshop Papers

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2023
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N. Prabhas Raj, G. Tarun, D. Teja Santosh, Morusupalli Raghava:
Ontological Scene Graph Engineering and Reasoning Over YOLO Objects for Creating Panoramic VR Content. MIWAI 2023: 225-235
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Mohammed Ozair Omar, D. Teja Santosh, Morusupalli Raghava, Jyothirmai Joshi:
Rescheduling Exams Within the Announced Tenure Using Reinforcement Learning. MIWAI 2023: 569-579

Editorship

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2023
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Morusupalli Raghava, Teja Santosh Dandibhotla, Vani Vathsala Atluri, David Windridge, Pawan Lingras, Venkateswara Rao Komati:
Multi-disciplinary Trends in Artificial Intelligence - 16th International Conference, MIWAI 2023, Hyderabad, India, July 21-22, 2023, Proceedings. Lecture Notes in Computer Science 14078, Springer 2023, ISBN 978-3-031-36401-3 [contents]

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