Zobrazeno 1 - 10
of 630
pro vyhledávání: '"P Spandana"'
Multimodal multihop question answering is a complex task that requires reasoning over multiple sources of information, such as images and text, to answer questions. While there has been significant progress in visual question answering, the multihop
Externí odkaz:
http://arxiv.org/abs/2412.07030
Autor:
Chintapalli, Sai Spandana, Wang, Rongguang, Yang, Zhijian, Tassopoulou, Vasiliki, Yu, Fanyang, Bashyam, Vishnu, Erus, Guray, Chaudhari, Pratik, Shou, Haochang, Davatzikos, Christos
Availability of large and diverse medical datasets is often challenged by privacy and data sharing restrictions. For successful application of machine learning techniques for disease diagnosis, prognosis, and precision medicine, large amounts of data
Externí odkaz:
http://arxiv.org/abs/2407.12897
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 90, Iss 4 (2020)
The present study during kharif 2013-14 at Professor Jayashankar State Agricultural University, Hyderabad, Telangana to study the efficiency of herbicide combinations for controlling weeds in rice. The study comprised 14 treatments in Randomized bloc
Externí odkaz:
https://doaj.org/article/de321c3b7dc14d40ab10d1660ce6afd5
Autor:
Sai Spandana Chintapalli, Rongguang Wang, Zhijian Yang, Vasiliki Tassopoulou, Fanyang Yu, Vishnu Bashyam, Guray Erus, Pratik Chaudhari, Haochang Shou, Christos Davatzikos
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract Availability of large and diverse medical datasets is often challenged by privacy and data sharing restrictions. Successful application of machine learning techniques for disease diagnosis, prognosis, and precision medicine, requires large a
Externí odkaz:
https://doaj.org/article/74fba8976325481aa6d8e108dfb3a498
Publikováno v:
Medical Journal of Dr. D.Y. Patil Vidyapeeth, Vol 17, Iss 6, Pp 1285-1288 (2024)
Lymphocytic interstitial pneumonia (LIP) is an unusual variant of interstitial lung disease with unknown incidence and prevalence. It is often seen in patients with autoimmune diseases and in immune-compromised individuals, and is associated with spe
Externí odkaz:
https://doaj.org/article/9a5248e5f48a4bfe9a940393952339be
Autor:
Rossella Lamberti, Simona Ferraro, Andrea Farolfi, Michele Ghezzi, Salvatore Zirpoli, Alice Marianna Munari, Sai Spandana Adivishnu, Giuseppe Marano, Elia Biganzoli, Gian Vincenzo Zuccotti, Enza D’Auria
Publikováno v:
Italian Journal of Pediatrics, Vol 50, Iss 1, Pp 1-10 (2024)
Abstract Background Non-cystic fibrosis (non-CF) bronchiectasis (BE) is defined as a clinical syndrome of recurrent, persistent wet cough and abnormal bronchial dilatation on chest High Resolution Computed Tomography (HRCT) scans. The aims of this st
Externí odkaz:
https://doaj.org/article/7a77d8f2657643f1b550db4f6abe4dfd
Autor:
Zhao, Chao, Gella, Spandana, Kim, Seokhwan, Jin, Di, Hazarika, Devamanyu, Papangelis, Alexandros, Hedayatnia, Behnam, Namazifar, Mahdi, Liu, Yang, Hakkani-Tur, Dilek
Task-oriented Dialogue (TOD) Systems aim to build dialogue systems that assist users in accomplishing specific goals, such as booking a hotel or a restaurant. Traditional TODs rely on domain-specific APIs/DBs or external factual knowledge to generate
Externí odkaz:
http://arxiv.org/abs/2305.12091
Task planning is an important component of traditional robotics systems enabling robots to compose fine grained skills to perform more complex tasks. Recent work building systems for translating natural language to executable actions for task complet
Externí odkaz:
http://arxiv.org/abs/2305.06485
Objective: This paper proposes a deep learning model for breast cancer detection from reconstructed images of microwave imaging scan data and aims to improve the accuracy and efficiency of breast tumor detection, which could have a significant impact
Externí odkaz:
http://arxiv.org/abs/2304.10386
Autor:
Meade, Nicholas, Gella, Spandana, Hazarika, Devamanyu, Gupta, Prakhar, Jin, Di, Reddy, Siva, Liu, Yang, Hakkani-Tür, Dilek
While large neural-based conversational models have become increasingly proficient dialogue agents, recent work has highlighted safety issues with these systems. For example, these systems can be goaded into generating toxic content, which often perp
Externí odkaz:
http://arxiv.org/abs/2302.00871