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2020 – today
- 2024
[j6]Rakesh Kumar, Meenu Gupta, Aman Agarwal
, Anand Nayyar:
CBAR-UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention-based deep residual neural network. Multim. Tools Appl. 83(37): 85047-85063 (2024)- [c11]N. Praneeth, Aman Agarwal, Abhishek Toluva, Madhulika Das, STP Srinivas, Alivelu Manga Parimi:
Coordinating Numerical Relays with Voltage-Time-Current Characteristics in DG Integrated Power Networks and Implementation using FPGA. ISGT Asia 2024: 1-6 - 2023
- [j5]Aman Agarwal, Li Chen:
DeepPHiC: predicting promoter-centered chromatin interactions using a novel deep learning approach. Bioinform. 39(1) (2023) - [j4]Aman Agarwal, Fengdi Zhao, Yuchao Jiang, Li Chen:
TIVAN-indel: a computational framework for annotating and predicting non-coding regulatory small insertions and deletions. Bioinform. 39(2) (2023) - [c10]Debashreet Das, Shashank Mouli Satapathy, Ajitha D, Aman Agarwal:
Application of Hybrid Approach towards Multi Aspect Classification and Analysis of Malware. OCIT 2023: 284-289 - 2022
- [i11]Aman Agarwal:
Explain to me like I am five - Sentence Simplification Using Transformers. CoRR abs/2212.04595 (2022) - 2021
- [c9]Nishant, Kailash Kumar Jha, Avneesh Tiwari, Alok Kumar Jangid, Aman Agarwal, Nitesh Pushpak Shah, Debabrata Das:
Efficient Protocol to Optimize New Radio Frequency Scanning in 5G Network. 5GWF 2021: 52-57 - 2020
- [b1]Aman Agarwal:
Unbiased Learning-to-Rank from Logged Implicit Feedback. Cornell University, USA, 2020 - [j3]Aman Agarwal, Shimon Edelman:
Functionally Effective Conscious AI Without Suffering. J. Artif. Intell. Conscious. 7(1): 39-50 (2020) - [j2]Shishir Goyal, Aman Agarwal, Srikanta Routroy:
Comparative analysis of environment losses in steel manufacturing supply chain using Taguchi loss function and design of experiments. J. Enterp. Inf. Manag. 33(3): 684-700 (2020) - [j1]Aman Agarwal, Mamta Mittal, Akshat Pathak, Lalit Mohan Goyal:
Fake News Detection Using a Blend of Neural Networks: An Application of Deep Learning. SN Comput. Sci. 1(3): 143 (2020) - [c8]Aman Agarwal, Veena Bansal:
Exploring Sentiments of Voters through Social Media Content: A Case Study of 2017 Assembly Elections of Three States in India. ICEIS (1) 2020: 596-602 - [i10]Aman Agarwal, Shimon Edelman:
Functionally Effective Conscious AI Without Suffering. CoRR abs/2002.05652 (2020) - [i9]Aman Agarwal, Aditya Mishra, Priyanka Sharma, Swati Jain, Sutapa Ranjan, Ranjana Manchanda:
Using LSTM for the Prediction of Disruption in ADITYA Tokamak. CoRR abs/2007.06230 (2020)
2010 – 2019
- 2019
- [c7]Aman Agarwal, Kenta Takatsu, Ivan Zaitsev, Thorsten Joachims:
A General Framework for Counterfactual Learning-to-Rank. SIGIR 2019: 5-14 - [c6]Zhichong Fang, Aman Agarwal, Thorsten Joachims:
Intervention Harvesting for Context-Dependent Examination-Bias Estimation. SIGIR 2019: 825-834 - [c5]Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. WSDM 2019: 474-482 - [c4]Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork:
Addressing Trust Bias for Unbiased Learning-to-Rank. WWW 2019: 4-14 - [i8]Sachin Thukral, Arnab Chatterjee, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Lipika Dey:
Characterizing behavioral trends in a community driven discussion platform. CoRR abs/1911.02771 (2019) - 2018
- [c3]Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey:
Analyzing Behavioral Trends in Community Driven Discussion Platforms Like Reddit. ASONAM 2018: 662-669 - [i7]Aman Agarwal, Ivan Zaitsev, Thorsten Joachims:
Counterfactual Learning-to-Rank for Additive Metrics and Deep Models. CoRR abs/1805.00065 (2018) - [i6]Aman Agarwal, Ivan Zaitsev, Thorsten Joachims:
Consistent Position Bias Estimation without Online Interventions for Learning-to-Rank. CoRR abs/1806.03555 (2018) - [i5]Sachin Thukral, Hardik Meisheri, Tushar Kataria, Aman Agarwal, Ishan Verma, Arnab Chatterjee, Lipika Dey:
Analyzing behavioral trends in community driven discussion platforms like Reddit. CoRR abs/1809.07087 (2018) - [i4]Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork:
Offline Comparison of Ranking Functions using Randomized Data. CoRR abs/1810.05252 (2018) - [i3]Zhichong Fang, Aman Agarwal, Thorsten Joachims:
Intervention Harvesting for Context-Dependent Examination-Bias Estimation. CoRR abs/1811.01802 (2018) - [i2]Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. CoRR abs/1812.05161 (2018) - 2017
- [c2]Aman Agarwal, Soumya Basu, Tobias Schnabel, Thorsten Joachims:
Effective Evaluation Using Logged Bandit Feedback from Multiple Loggers. KDD 2017: 687-696 - [i1]Aman Agarwal, Soumya Basu, Tobias Schnabel, Thorsten Joachims:
Effective Evaluation using Logged Bandit Feedback from Multiple Loggers. CoRR abs/1703.06180 (2017) - 2010
- [c1]Aman Agarwal, Vikas Saxena:
Content Based Multimodal Retrieval for Databases of Indian Monuments. IC3 (1) 2010: 446-455
Coauthor Index
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