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Shashank Agarwal
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2020 – today
- 2024
- [i1]Farzad Nozarian, Shashank Agarwal, Farzaneh Rezaeianaran, Danish Shahzad, Atanas Poibrenski, Christian Müller, Philipp Slusallek:
Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection. CoRR abs/2404.17910 (2024) - 2023
- [c5]Farzad Nozarian, Shashank Agarwal, Farzaneh Rezaeianaran, Danish Shahzad, Atanas Poibrenski, Christian Müller, Philipp Slusallek:
Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection. CVPR Workshops 2023: 4981-4990 - 2022
- [c4]Amir Feder, Itay Laish, Shashank Agarwal, Uri Lerner, Avel Atias, Cathy Cheung, Peter Clardy, Alon Peled-Cohen, Rachana Fellinger, Hengrui Liu, Lan Huong Nguyen, Birju Patel, Natan Potikha, Amir Taubenfeld, Liwen Xu, Seung Doo Yang, Ayelet Benjamini, Avinatan Hassidim:
Building a Clinically-Focused Problem List From Medical Notes. LOUHI@EMNLP 2022: 60-68
2010 – 2019
- 2013
- [c3]Feifan Liu, Soheil Moosavinasab, Shashank Agarwal, Andrew S. Bennett, Hong Yu:
Automatically Identifying Health- and Clinical-Related Content in Wikipedia. MedInfo 2013: 637-641 - 2011
- [j10]Shashank Agarwal, Hong Yu:
Figure summarizer browser extensions for PubMed Central. Bioinform. 27(12): 1723-1724 (2011) - [j9]Shashank Agarwal, Hong Yu, Isaac S. Kohane:
BioNOT: A searchable database of biomedical negated sentences. BMC Bioinform. 12: 420 (2011) - [j8]Shashank Agarwal, Feifan Liu, Hong Yu:
Simple and efficient machine learning frameworks for identifying protein-protein interaction relevant articles and experimental methods used to study the interactions. BMC Bioinform. 12(S-8): S10 (2011) - [j7]Zhiyong Lu, Hung-Yu Kao, Chih-Hsuan Wei, Minlie Huang, Jingchen Liu, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tzong-Han Tsai, Hong-Jie Dai, Naoaki Okazaki, Han-Cheol Cho, Martin Gerner, Illés Solt, Shashank Agarwal, Feifan Liu, Dina Vishnyakova, Patrick Ruch, Martin Romacker, Fabio Rinaldi, Sanmitra Bhattacharya, Padmini Srinivasan, Hongfang Liu, Manabu Torii, Sérgio Matos, David Campos, Karin Verspoor, Kevin M. Livingston, W. John Wilbur:
The gene normalization task in BioCreative III. BMC Bioinform. 12(S-8): S2 (2011) - [j6]Martin Krallinger, Miguel Vazquez, Florian Leitner, David Salgado, Andrew Chatr-aryamontri, Andrew G. Winter, Livia Perfetto, Leonardo Briganti, Luana Licata, Marta Iannuccelli, Luisa Castagnoli, Gianni Cesareni, Mike Tyers, Gerold Schneider, Fabio Rinaldi, Robert Leaman, Graciela Gonzalez, Sérgio Matos, Sun Kim, W. John Wilbur, Luis M. Rocha, Hagit Shatkay, Ashish V. Tendulkar, Shashank Agarwal, Feifan Liu, Xinglong Wang, Rafal Rak, Keith Noto, Charles Elkan, Zhiyong Lu:
The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text. BMC Bioinform. 12(S-8): S3 (2011) - [j5]Cecilia N. Arighi, Phoebe M. Roberts, Shashank Agarwal, Sanmitra Bhattacharya, Gianni Cesareni, Andrew Chatr-aryamontri, Simon Clematide, Pascale Gaudet, Michelle G. Giglio, Ian Harrow, Eva Huala, Martin Krallinger, Ulf Leser, Donghui Li, Feifan Liu, Zhiyong Lu, Lois J. Maltais, Naoaki Okazaki, Livia Perfetto, Fabio Rinaldi, Rune Sætre, David Salgado, Padmini Srinivasan, Philippe E. Thomas, Luca Toldo, Lynette Hirschman, Cathy H. Wu:
BioCreative III interactive task: an overview. BMC Bioinform. 12(S-8): S4 (2011) - [c2]Zahir Aalam, Shashank Agarwal, Shikha Khandelwal:
Gateway load balancing in integrated internet-manet using modified AODV routing protocol. ICWET 2011: 1371 - 2010
- [j4]Shashank Agarwal, Hong Yu:
Biomedical negation scope detection with conditional random fields. J. Am. Medical Informatics Assoc. 17(6): 696-701 (2010) - [j3]Shashank Agarwal, Hong Yu:
Detecting hedge cues and their scope in biomedical text with conditional random fields. J. Biomed. Informatics 43(6): 953-961 (2010) - [j2]Yonggang Cao, Zuofeng Li, Feifan Liu, Shashank Agarwal, Qing Zhang, Hong Yu:
An IR-Aided Machine Learning Framework for the BioCreative II.5 Challenge. IEEE ACM Trans. Comput. Biol. Bioinform. 7(3): 454-461 (2010)
2000 – 2009
- 2009
- [j1]Shashank Agarwal, Hong Yu:
Automatically classifying sentences in full-text biomedical articles into Introduction, Methods, Results and Discussion. Bioinform. 25(23): 3174-3180 (2009) - [c1]Shashank Agarwal, Hong Yu:
FigSum: Automatically Generating Structured Text Summaries for Figures in Biomedical Literature. AMIA 2009
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