Alok N. Choudhary

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Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
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◀ ▶ joint publications with Ankit Agrawal 0001

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Publications

2024
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  - journals/jcheminf/GuptaLPKLCA24
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Vishu Gupta, Youjia Li, Alec Peltekian, Muhammed Nur Talha Kilic, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Simultaneously improving accuracy and computational cost under parametric constraints in materials property prediction tasks. J. Cheminformatics 16(1) (2024)
[c374]
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  - conf/cikm/DayWRLDC024
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Alexandra L. Day, Carolin B. Wahl, Roberto dos Reis, Wei-keng Liao, Vinayak P. Dravid, Alok N. Choudhary, Ankit Agrawal:
Automated Nanoparticle Image Processing Pipeline for AI-Driven Materials Characterization. CIKM 2024: 4462-4469
[c373]
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Kewei Wang, Yuwei Mao, Mahmudul Hasan, Md Maruf Billah, Muhammed Nur Talha Kilic, Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Pinar Acar, Ankit Agrawal:
Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing. ICMLA 2024: 236-241
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Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Combining Transfer Learning and Representation Learning to Improve Predictive Analytics on Small Materials Data. ICMLA 2024: 981-984
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  - conf/icmla/KilicMGCLA24
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Muhammed Nur Talha Kilic, Yuwei Mao, Vishu Gupta, Alok N. Choudhary, Wei-keng Liao, Ankit Agrawal:
Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder. ICMLA 2024: 997-1000
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Muhammed Nur Talha Kilic, Vishu Gupta, Yuwei Mao, Kewei Wang, Alec Peltekian, Alok N. Choudhary, Wei-keng Liao, Ankit Agrawal:
Enhancing Deep Neural Network Classification Performance Through Novel Weight Initialization: t-SNE Supported Walsh Matrix Approach. ICMLA 2024: 1021-1024
2023
[j129]
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  - journals/jcisd/GuptaCMWTCLCA23
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Vishu Gupta, Kamal Choudhary, Yuwei Mao, Kewei Wang, Francesca Tavazza, Carelyn Campbell, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
MPpredictor: An Artificial Intelligence-Driven Web Tool for Composition-Based Material Property Prediction. J. Chem. Inf. Model. 63(7): 1865-1871 (2023)
[j128]
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Yuwei Mao, Hui Lin, Christina Xuan Yu, Roger Frye, Darren Beckett, Kevin Anderson, Lars Jacquemetton, Fred Carter, Zhangyuan Gao, Wei-keng Liao, Alok N. Choudhary, Kornel F. Ehmann, Ankit Agrawal:
A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures. J. Intell. Manuf. 34(1): 315-329 (2023)
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Claire Songhyun Lee, V. Hewes, Giuseppe Cerati, Jim Kowalkowski, Adam Aurisano, Ankit Agrawal, Alok N. Choudhary, Wei-Keng Liao:
A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. CCGrid 2023: 71-81
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  - conf/ic3/GuptaLSMLCLC023
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Vishu Gupta, Yuhui Lyu, Derick Suarez, Yuwei Mao, Wei-Keng Liao, Alok N. Choudhary, Wing Kam Liu, Gianluca Cusatis, Ankit Agrawal:
Physics-based Data-Augmented Deep Learning for Enhanced Autogenous Shrinkage Prediction on Experimental Dataset. IC3 2023: 188-197
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Yuwei Mao, Mahmudul Hasan, Claire Songhyun Lee, Muhammed Nur Talha Kilic, Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Pinar Acar, Ankit Agrawal:
A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction. ICMLA 2023: 890-893
[c366]
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Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Pre-Activation based Representation Learning to Enhance Predictive Analytics on Small Materials Data. IJCNN 2023: 1-8
[c365]
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Yuwei Mao, Shahriyar Keshavarz, Vishu Gupta, Andrew C. E. Reid, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations. IJCNN 2023: 1-8
[c364]
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Zanhua Huang, Kaiyuan Hou, Ankit Agrawal, Alok N. Choudhary, Robert B. Ross, Wei-Keng Liao:
I/O in WRF: A Case Study in Modern Parallel I/O Techniques. SC 2023: 94:1-94:13
2022
[j127]
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Sunwoo Lee, Qiao Kang, Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving scalability of parallel CNN training by adaptively adjusting parameter update frequency. J. Parallel Distributed Comput. 159: 10-23 (2022)
[j126]
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Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James B. Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. Parallel Comput. 110: 102877 (2022)
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Kewei Wang, Sunwoo Lee, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-Keng Liao:
Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. CCGRID 2022: 404-413
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  - conf/csci/GuptaLC022
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Vishu Gupta, Wei-Keng Liao, Alok N. Choudhary, Ankit Agrawal:
Which Deep Learning Framework Should I Use: A Comparative Study For Deep Regression Modeling. CSCI 2022: 72-77
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Yuwei Mao, Vishu Gupta, Kewei Wang, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
To Shuffle or Not To Shuffle: Mini-Batch Shuffling Strategies for Multi-class Imbalanced Classification. CSCI 2022: 298-301
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Vishu Gupta, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
BRNet: Branched Residual Network for Fast and Accurate Predictive Modeling of Materials Properties. SDM 2022: 343-351
[i17]
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  - journals/corr/abs-2205-01168
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Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis. CoRR abs/2205.01168 (2022)
[i16]
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  - journals/corr/abs-2211-04011
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Dipendra Jha, K. V. L. V. Narayanachari, Ruifeng Zhang, Justin Liao, Denis T. Keane, Wei-keng Liao, Alok N. Choudhary, Yip-Wah Chung, Michael J. Bedzyk, Ankit Agrawal:
An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations. CoRR abs/2211.04011 (2022)
2021
[j125]
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Arindam Paul, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Harnessing Psycho-lingual and Crowd-Sourced Dictionaries for Predicting Taboos in Written Emotional Disclosure in Anonymous Confession Boards. J. Heal. Informatics Res. 5(3): 319-341 (2021)
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Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Supporting Data Compression in PnetCDF. IEEE BigData 2021: 86-97
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Sunwoo Lee, Qiao Kang, Kewei Wang, Jan Balewski, Alex Sim, Ankit Agrawal, Alok N. Choudhary, Peter Nugent, Kesheng Wu, Wei-keng Liao:
Asynchronous I/O Strategy for Large-Scale Deep Learning Applications. HiPC 2021: 322-331
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  - conf/icpram/Al-BahraniJKLYL21
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Reda Al-Bahrani, Dipendra Jha, Qiao Kang, Sunwoo Lee, Zijiang Yang, Wei-Keng Liao, Ankit Agrawal, Alok N. Choudhary:
SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network. ICPRAM 2021: 349-356
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Dipendra Jha, K. V. L. V. Narayanachari, Ruifeng Zhang, Denis T. Keane, Wei-keng Liao, Alok N. Choudhary, Yip-Wah Chung, Michael J. Bedzyk, Ankit Agrawal:
Enhancing Phase Mapping for High-throughput X-ray Diffraction Experiments using Fuzzy Clustering. ICPRAM 2021: 507-514
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  - journals/corr/abs-2101-10553
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Zijiang Yang, Dipendra Jha, Arindam Paul, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design. CoRR abs/2101.10553 (2021)
2020
[j123]
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Qiao Kang, Sunwoo Lee, Kaiyuan Hou, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving MPI Collective I/O for High Volume Non-Contiguous Requests With Intra-Node Aggregation. IEEE Trans. Parallel Distributed Syst. 31(11): 2682-2695 (2020)
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Sunwoo Lee, Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Communication-Efficient Local Stochastic Gradient Descent for Scalable Deep Learning. IEEE BigData 2020: 718-727
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Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu:
Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow. CCGRID 2020: 619-628
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  - conf/icpr/YangWIMTSLCA20
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Zijiang Yang, Tetsushi Watari, Daisuke Ichigozaki, Akita Mitsutoshi, Hiroaki Takahashi, Yoshinori Suga, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Heterogeneous Feature Fusion Based Machine Learning on Shallow-Wide and Heterogeneous-Sparse Industrial Datasets. ICPR Workshops (4) 2020: 566-577
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Qiao Kang, Robert B. Ross, Robert Latham, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving all-to-many personalized communication in two-phase I/O. SC 2020: 10
[i14]
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  - journals/corr/abs-2008-08519
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Esteban Rangel, Nicholas Frontiere, Salman Habib, Katrin Heitmann, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
Building Halo Merger Trees from the Q Continuum Simulation. CoRR abs/2008.08519 (2020)
2019
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Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary:
Survivability prediction of colon cancer patients using neural networks. Health Informatics J. 25(3) (2019)
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  - journals/pc/KangTAACL19
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Qiao Kang, Jesper Larsson Träff, Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Scalable Algorithms for MPI Intergroup Allgather and Allgatherv. Parallel Comput. 85: 220-230 (2019)
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Sunwoo Lee, Qiao Kang, Sandeep Madireddy, Prasanna Balaprakash, Ankit Agrawal, Alok N. Choudhary, Richard Archibald, Wei-keng Liao:
Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time. IEEE BigData 2019: 830-839
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Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H. Beckman, Zhengchun Liu, Wei-keng Liao:
Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. IEEE BigData 2019: 4381-4389
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Ankit Agrawal, Abhinav Saboo, Wei Xiong, Gregory B. Olson, Alok N. Choudhary:
Martensite Start Temperature Predictor for Steels Using Ensemble Data Mining. DSAA 2019: 521-530
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Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok N. Choudhary, Jian Cao, Ankit Agrawal:
A Real-Time Iterative Machine Learning Approach for Temperature Profile Prediction in Additive Manufacturing Processes. DSAA 2019: 541-550
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Zijiang Yang, Tetsushi Watari, Daisuke Ichigozaki, Kei Morohoshi, Yoshinori Suga, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Data-Driven Insights from Predictive Analytics on Heterogeneous Experimental Data of Industrial Magnetic Materials. ICDM Workshops 2019: 806-813
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Dipendra Jha, Aaron Gilad Kusne, Reda Al-Bahrani, Nam Nguyen, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns. IJCNN 2019: 1-8
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Arindam Paul, Dipendra Jha, Reda Al-Bahrani, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening. IJCNN 2019: 1-8
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Zijiang Yang, Reda Al-Bahrani, Andrew C. E. Reid, Stefanos Papanikolaou, Surya R. Kalidindi, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics. IJCNN 2019: 1-8
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Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. KDD 2019: 2385-2393
[i13]
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  - journals/corr/abs-1903-03178
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Arindam Paul, Dipendra Jha, Reda Al-Bahrani, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening. CoRR abs/1903.03178 (2019)
[i12]
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  - journals/corr/abs-1907-03222
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Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. CoRR abs/1907.03222 (2019)
[i11]
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Qiao Kang, Sunwoo Lee, Kaiyuan Hou, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving MPI Collective I/O Performance With Intra-node Request Aggregation. CoRR abs/1907.12656 (2019)
[i10]
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Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok N. Choudhary, Jian Cao, Ankit Agrawal:
A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes. CoRR abs/1907.12953 (2019)
2018
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Al'ona Furmanchuk, James E. Saal, Jeff W. Doak, Gregory B. Olson, Alok N. Choudhary, Ankit Agrawal:
Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach. J. Comput. Chem. 39(4): 191-202 (2018)
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Dianwei Han, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation. IEEE BigData 2018: 305-312
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Rajkumar Kettimuthu, Zhengchun Liu, Ian T. Foster, Peter H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok N. Choudhary:
Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. AI-Science@HPDC 2018: 2:1-2:9
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Qiao Kang, Jesper Larsson Träff, Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Full-Duplex Inter-Group All-to-All Broadcast Algorithms with Optimal Bandwidth. EuroMPI 2018: 1:1-1:10
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Kaiyuan Hou, Reda Al-Bahrani, Esteban Rangel, Ankit Agrawal, Robert Latham, Robert B. Ross, Alok N. Choudhary, Wei-keng Liao:
Integration of Burst Buffer in High-level Parallel I/O Library for Exa-scale Computing Era. PDSW-DISCS@SC 2018: 1-12
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Arindam Paul, Dipendra Jha, Reda Al-Bahrani, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations. CoRR abs/1811.08283 (2018)
2017
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Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Goce Trajcevski, Ankit Agrawal, Alok N. Choudhary:
SILVERBACK+: scalable association mining via fast list intersection for columnar social data. Knowl. Inf. Syst. 50(3): 969-997 (2017)
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Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
Legislative prediction with dual uncertainty minimization from heterogeneous information. Stat. Anal. Data Min. 10(2): 107-120 (2017)
[c337]
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Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary:
Distinguish Polarity in Bag-of-Words Visualization. AAAI 2017: 3344-3350
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Sunwoo Lee, Dipendra Jha, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication. HiPC 2017: 183-192
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Esteban Rangel, Nicholas Frontiere, Salman Habib, Katrin Heitmann, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
Building Halo Merger Trees from the Q Continuum Simulation. HiPC 2017: 398-407
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Reda Al-Bahrani, Margaret K. Danilovich, Wei-Keng Liao, Alok N. Choudhary, Ankit Agrawal:
Analyzing Informal Caregiving Expression in Social Media. ICDM Workshops 2017: 342-349
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Qiao Kang, Wei-Keng Liao, Ankit Agrawal, Alok N. Choudhary:
A Hybrid Training Algorithm for Recurrent Neural Network Using Particle Swarm Optimization-Based Preprocessing and Temporal Error Aggregation. ICDM Workshops 2017: 812-817
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Reda Al-Bahrani, Margaret K. Danilovich, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Towards Identifying Informal Caregivers of Alzheimer's and Dementia Patients in Social Media. ICHI 2017: 324
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Kathy Lee, Ankit Agrawal, Alok N. Choudhary:
Forecasting Influenza Levels Using Real-Time Social Media Streams. ICHI 2017: 409-414
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Kathy Lee, Sadid A. Hasan, Oladimeji Farri, Alok N. Choudhary, Ankit Agrawal:
Medical Concept Normalization for Online User-Generated Texts. ICHI 2017: 462-469
[i8]
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Zheng Yuan, William Hendrix, Seung Woo Son, Christoph Federrath, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel Implementation of Lossy Data Compression for Temporal Data Sets. CoRR abs/1703.02438 (2017)
2016
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Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Nikos Hardavellas, Alok N. Choudhary:
Evaluation of K-means data clustering algorithm on Intel Xeon Phi. IEEE BigData 2016: 2251-2260
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Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary, Marc De Graef:
Materials discovery: Understanding polycrystals from large-scale electron patterns. IEEE BigData 2016: 2261-2269
[c327]
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Ruoqian Liu, Diana Palsetia, Arindam Paul, Reda Al-Bahrani, Dipendra Jha, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
PinterNet: A thematic label curation tool for large image datasets. IEEE BigData 2016: 2353-2362
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Qiao Kang, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary:
A Filtering-based Clustering Algorithm for Improving Spatio-temporal Kriging Interpolation Accuracy. CIKM 2016: 2209-2214
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Ankit Agrawal, Alok N. Choudhary:
A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor. CIKM 2016: 2497-2500
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Esteban Rangel, Nan Li, Salman Habib, Tom Peterka, Ankit Agrawal, Wei-Keng Liao, Alok N. Choudhary:
Parallel DTFE Surface Density Field Reconstruction. CLUSTER 2016: 30-39
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Zheng Yuan, William Hendrix, Seung Woo Son, Christoph Federrath, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel Implementation of Lossy Data Compression for Temporal Data Sets. HiPC 2016: 62-71
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Esteban Rangel, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, William Hendrix:
AGORAS: A Fast Algorithm for Estimating Medoids in Large Datasets. ICCS 2016: 1159-1169
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Ankit Agrawal, Jason Scott Mathias, David Baker, Alok N. Choudhary:
Identifying hotspots in five year survival electronic health records of older adults. ICCABS 2016: 1-6
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Amar Krishna, Ankit Agrawal, Alok N. Choudhary:
Predicting the Outcome of Startups: Less Failure, More Success. ICDM Workshops 2016: 798-805
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Ankit Agrawal, Bryce Meredig, Chris Wolverton, Alok N. Choudhary:
A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining. ICDM Workshops 2016: 1276-1279
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Ankit Agrawal, Jason Scott Mathias, David Baker, Alok N. Choudhary:
Five Year Life Expectancy Calculator for Older Adults. ICDM Workshops 2016: 1280-1283
[c317]
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Reda Al-Bahrani, Margaret K. Danilovich, Ankit Agrawal, Alok N. Choudhary:
Towards Informal Caregiver Identification in Social Media. ICHI 2016: 414
[c316]
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Dianwei Han, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A Novel Scalable DBSCAN Algorithm with Spark. IPDPS Workshops 2016: 1393-1402
[c315]
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Diana Palsetia, William Hendrix, Sunwoo Lee, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication. ISC 2016: 98-115
[i7]
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Siddharth Gupta, Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary:
A New Parallel Algorithm for Two-Pass Connected Component Labeling. CoRR abs/1606.05973 (2016)
2015
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Yusheng Xie, Pranjal Daga, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary:
Reducing infrequent-token perplexity via variational corpora. ACL (2) 2015: 609-615
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Kathy Lee, Ankit Agrawal, Alok N. Choudhary:
Mining Social Media Streams to Improve Public Health Allergy Surveillance. ASONAM 2015: 815-822
[c312]
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Chen Jin, Ruoqian Liu, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
A Scalable Hierarchical Clustering Algorithm Using Spark. BigDataService 2015: 418-426
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Chen Jin, Qiang Fu, Huahua Wang, William Hendrix, Zhengzhang Chen, Ankit Agrawal, Arindam Banerjee, Alok N. Choudhary:
Running MAP Inference on Million Node Graphical Models: A High Performance Computing Perspective. CCGRID 2015: 565-575
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Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary, Zhengzhang Chen:
Pruned search: A machine learning based meta-heuristic approach for constrained continuous optimization. IC3 2015: 13-18
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Yu Cheng, Ankit Agrawal, Huan Liu, Alok N. Choudhary:
Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information. SDM 2015: 361-369
[c307]
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Chen Jin, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
Incremental, distributed single-linkage hierarchical clustering algorithm using mapreduce. SpringSim (HPS) 2015: 83-92
2014
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Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Daniel Honbo, Ankit Agrawal, Alok N. Choudhary:
MuSES: Multilingual Sentiment Elicitation System for Social Media Data. IEEE Intell. Syst. 29(4): 34-42 (2014)
[j109]
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Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary:
Excavating social circles via user interests. Soc. Netw. Anal. Min. 4(1): 170 (2014)
[j108]
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Seung Woo Son, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Data Compression for the Exascale Computing Era - Survey. Supercomput. Front. Innov. 1(2): 76-88 (2014)
[c305]
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Yusheng Xie, Zhengzhang Chen, Diana Palsetia, Ankit Agrawal, Alok N. Choudhary:
Indexing bipartite memberships in web graphs. ASONAM 2014: 166-173
[c304]
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Diana Palsetia, Md. Mostofa Ali Patwary, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
Clique guided community detection. IEEE BigData 2014: 500-509
[c301]
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Yusheng Xie, Diana Palsetia, Goce Trajcevski, Ankit Agrawal, Alok N. Choudhary:
SILVERBACK: Scalable association mining for temporal data in columnar probabilistic databases. ICDE 2014: 1072-1083
[c300]
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Yu Cheng, Ankit Agrawal, Alok N. Choudhary, Huan Liu, Tao Zhang:
Social Role Identification via Dual Uncertainty Minimization Regularization. ICDM 2014: 767-772
[c299]
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Yusheng Xie, Yu Cheng, Ankit Agrawal, Alok N. Choudhary:
Estimating Online User Location Distribution without GPS Location. ICDM Workshops 2014: 936-943
[c297]
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Siddharth Gupta, Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary:
A New Parallel Algorithm for Two-Pass Connected Component Labeling. IPDPS Workshops 2014: 1355-1362
[c296]
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Ruoqian Liu, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Enhancing Financial Decision-Making Using Social Behavior Modeling. SNAKDD 2014: 13:1-13:5
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Zhengzhang Chen, Seung Woo Son, William Hendrix, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
NUMARCK: Machine Learning Algorithm for Resiliency and Checkpointing. SC 2014: 733-744
2013
[c291]
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Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A probabilistic graphical model for brand reputation assessment in social networks. ASONAM 2013: 223-230
[c290]
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Ankit Agrawal, Reda Al-Bahrani, Mark J. Russo, Jaishankar Raman, Alok N. Choudhary:
Lung transplant outcome prediction using UNOS data. IEEE BigData 2013: 1-8
[c289]
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Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary:
Colon cancer survival prediction using ensemble data mining on SEER data. IEEE BigData 2013: 9-16
[c288]
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Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Chen Jin, Yu Cheng, Ankit Agrawal, Alok N. Choudhary:
Elver: Recommending Facebook pages in cold start situation without content features. IEEE BigData 2013: 475-479
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Lu Liu, Jie Tang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Mining diabetes complication and treatment patterns for clinical decision support. CIKM 2013: 279-288
[c286]
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Yu Cheng, Zhengzhang Chen, Jiang Wang, Ankit Agrawal, Alok N. Choudhary:
Bootstrapping active name disambiguation with crowdsourcing. CIKM 2013: 1213-1216
[c285]
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Yu Cheng, Zhengzhang Chen, Lu Liu, Jiang Wang, Ankit Agrawal, Alok N. Choudhary:
Feedback-driven multiclass active learning for data streams. CIKM 2013: 1311-1320
[c284]
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Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Lu Liu:
Random walk-based graphical sampling in unbalanced heterogeneous bipartite social graphs. CIKM 2013: 1473-1476
[c282]
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Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza F. Samatova, Alok N. Choudhary:
Forecast Oriented Classification of Spatio-Temporal Extreme Events. IJCAI 2013: 2952-2954
[c280]
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Chen Jin, Qiang Fu, Huahua Wang, Ankit Agrawal, William Hendrix, Wei-keng Liao, Md. Mostofa Ali Patwary, Arindam Banerjee, Alok N. Choudhary:
Solving combinatorial optimization problems using relaxed linear programming: a high performance computing perspective. BigMine 2013: 39-46
[c279]
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Yu Cheng, Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary, Songtao Guo:
JobMiner: a real-time system for mining job-related patterns from social media. KDD 2013: 1450-1453
[c278]
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Kathy Lee, Ankit Agrawal, Alok N. Choudhary:
Real-time disease surveillance using Twitter data: demonstration on flu and cancer. KDD 2013: 1474-1477
[c277]
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William Hendrix, Diana Palsetia, Md. Mostofa Ali Patwary, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A scalable algorithm for single-linkage hierarchical clustering on distributed-memory architectures. LDAV 2013: 7-13
[c275]
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Md. Mostofa Ali Patwary, Diana Palsetia, Ankit Agrawal, Wei-keng Liao, Fredrik Manne, Alok N. Choudhary:
Scalable parallel OPTICS data clustering using graph algorithmic techniques. SC 2013: 49:1-49:12
[c273]
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Ankit Agrawal, Zhengzhang Chen, Yu Cheng, Alok N. Choudhary, Haotian Liu, Md. Mostofa Ali Patwary, Yusheng Xie, Kunpeng Zhang:
Graphical Modeling of Macro Behavioral Targeting in Social Networks. SDM 2013: 740-748
2012
[j104]
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Yuhong Zhang, Sanchit Misra, Ankit Agrawal, Md. Mostofa Ali Patwary, Wei-keng Liao, Zhiguang Qin, Alok N. Choudhary:
Accelerating pairwise statistical significance estimation for local alignment by harvesting GPU's power. BMC Bioinform. 13(S-5): S3 (2012)
[j102]
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Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary:
Lung cancer survival prediction using ensemble data mining on SEER data. Sci. Program. 20(1): 29-42 (2012)
[c270]
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Yusheng Xie, Yu Cheng, Daniel Honbo, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary, Yi Gao, Jiangtao Gou:
Probabilistic macro behavioral targeting. DUBMMSM 2012: 7-10
[c269]
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Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Alok N. Choudhary:
On active learning in hierarchical classification. CIKM 2012: 2467-2470
[c266]
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William Hendrix, Md. Mostofa Ali Patwary, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel hierarchical clustering on shared memory platforms. HiPC 2012: 1-9
[c265]
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Ankit Agrawal, Md. Mostofa Ali Patwary, William Hendrix, Wei-keng Liao, Alok N. Choudhary:
High Performance Big Data Clustering. High Performance Computing Workshop (1) 2012: 192-211
[c264]
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Yu Cheng, Yusheng Xie, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary:
CluChunk: clustering large scale user-generated content incorporating chunklet information. BigMine 2012: 12-19
[c263]
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Yusheng Xie, Daniel Honbo, Alok N. Choudhary, Kunpeng Zhang, Yu Cheng, Ankit Agrawal:
VOXSUP: a social engagement framework. KDD 2012: 1556-1559
[c260]
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Md. Mostofa Ali Patwary, Diana Palsetia, Ankit Agrawal, Wei-keng Liao, Fredrik Manne, Alok N. Choudhary:
A new scalable parallel DBSCAN algorithm using the disjoint-set data structure. SC 2012: 62
[c259]
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Kunpeng Zhang, Yusheng Xie, Yu Cheng, Daniel Honbo, Doug Downey, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Sentiment identification by incorporating syntax, semantics and context information. SIGIR 2012: 1143-1144
2011
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Sanchit Misra, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Anatomy of a hash-based long read sequence mapping algorithm for next generation DNA sequencing. Bioinform. 27(2): 189-195 (2011)
[j98]
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Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N. Choudhary:
Parallel pairwise statistical significance estimation of local sequence alignment using Message Passing Interface library. Concurr. Comput. Pract. Exp. 23(17): 2269-2279 (2011)
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Ankit Agrawal, Alok N. Choudhary:
Association Rule Mining Based HotSpot Analysis on SEER Lung Cancer Data. Int. J. Knowl. Discov. Bioinform. 2(2): 34-54 (2011)
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Yuhong Zhang, Sanchit Misra, Daniel Honbo, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Efficient pairwise statistical significance estimation for local sequence alignment using GPU. ICCABS 2011: 226-231
[c253]
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Ankit Agrawal, Sanchit Misra, Alok N. Choudhary, Karl Bilimoria:
Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery. ICCABS 2011: 232
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Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary:
Poster: A lung cancer mortality risk calculator based on SEER data. ICCABS 2011: 233
[c251]
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William Hendrix, Isaac K. Tetteh, Ankit Agrawal, Fredrick H. M. Semazzi, Wei-keng Liao, Alok N. Choudhary:
Community Dynamics and Analysis of Decadal Trends in Climate Data. ICDM Workshops 2011: 9-14
[c250]
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Kunpeng Zhang, Yu Cheng, Yusheng Xie, Daniel Honbo, Ankit Agrawal, Diana Palsetia, Kathy Lee, Wei-keng Liao, Alok N. Choudhary:
SES: Sentiment Elicitation System for Social Media Data. ICDM Workshops 2011: 129-136
[c249]
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Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Learning to Group Web Text Incorporating Prior Information. ICDM Workshops 2011: 212-219
[c248]
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Kathy Lee, Diana Palsetia, Ramanathan Narayanan, Md. Mostofa Ali Patwary, Ankit Agrawal, Alok N. Choudhary:
Twitter Trending Topic Classification. ICDM Workshops 2011: 251-258
[c247]
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Lalith Polepeddi, Ankit Agrawal, Alok N. Choudhary:
Poll: A Citation Text Based System for Identifying High-Impact Contributions of an Article. ICDM Workshops 2011: 965-968
[c246]
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Ankit Agrawal, Alok N. Choudhary:
Identifying HotSpots in Lung Cancer Data Using Association Rule Mining. ICDM Workshops 2011: 995-1002
[c243]
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Nithin Nakka, Ankit Agrawal, Alok N. Choudhary:
Predicting Node Failure in High Performance Computing Systems from Failure and Usage Logs. IPDPS Workshops 2011: 1557-1566
[c240]
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Ankit Agrawal, Sanchit Misra, Ramanathan Narayanan, Lalith Polepeddi, Alok N. Choudhary:
A lung cancer outcome calculator using ensemble data mining on SEER data. BIOKDD 2011: 5:1-5:9
2010
[c238]
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Ankit Agrawal, Alok N. Choudhary, Xiaoqiu Huang:
Derived distribution points heuristic for fast pairwise statistical significance estimation. BCB 2010: 312-321
[c237]
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Ankit Agrawal, Alok N. Choudhary, Xiaoqiu Huang:
Non-Conservative Pairwise Statistical Significance of Local Sequence Alignment Using Position-Specific Substitution Matrices. BIOCOMP 2010: 262-268
[c236]
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Daniel Honbo, Ankit Agrawal, Alok N. Choudhary:
Efficient Pairwise Statistical Significance Estimation using FPGAs. BIOCOMP 2010: 571-577
[c232]
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Ankit Agrawal, Sanchit Misra, Daniel Honbo, Alok N. Choudhary:
MPIPairwiseStatSig: parallel pairwise statistical significance estimation of local sequence alignment. HPDC 2010: 470-476

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