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2020 – today
- 2022
[j28]Ankit Agrawal, Ashutosh Bhatia
, Ayush Bahuguna, Kamlesh Tiwari, K. Haribabu, Deepak Vishwakarma, Rekha Kaushik:
A survey on analyzing encrypted network traffic of mobile devices. Int. J. Inf. Sec. 21(4): 873-915 (2022)- [j27]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) - [j26]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) - [c137]Aman Sharma, Ankit Agrawal, Ashutosh Bhatia, Kamlesh Tiwari:
Bitcoin's Blockchain Data Analytics: A Graph Theoretic Perspective. AINA (1) 2022: 459-470 - [c136]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 - [c135]Jai Singhal, Ankit Singh Gautam, Ashutosh Bhatia, Ankit Agrawal, Rekha Kaushik:
DD-Locker: Blockchain-based Decentralized Personal Document Locker. ICOIN 2022: 68-73 - [c134]Rudraraju Sacin Varma, Ankit Agrawal, Ashutosh Bhatia, Kamlesh Tiwari:
Multi-vendor IoT-based Resource Sharing using OAuth and Blockchain. ICOIN 2022: 74-77 - [c133]Rohit Bharadwaj, Ashutosh Bhatia, Laxmi Divya Chhibbar, Kamlesh Tiwari, Ankit Agrawal:
Is this URL Safe: Detection of Malicious URLs Using Global Vector for Word Representation. ICOIN 2022: 486-491 - [c132]Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Ankit Agrawal:
Machine Learning for Materials Science (MLMS). KDD 2022: 4902-4903 - [c131]Jane Cleland-Huang, Ankit Agrawal, Michael Vierhauser, Michael Murphy, Mike Prieto:
Extending MAPE-K to support Human-Machine Teaming. SEAMS 2022: 120-131 - [i22]Jane Cleland-Huang, Ankit Agrawal, Michael Vierhauser, Michael Murphy, Mike Prieto:
Extending MAPE-K to support Human-Machine Teaming. CoRR abs/2203.13036 (2022) - [i21]Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James Kowalkowski, Quincey Koziol, Robert 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) - 2021
- [j25]Ankit Agrawal, Sarsij Tripathi:
Particle swarm optimization with adaptive inertia weight based on cumulative binomial probability. Evol. Intell. 14(2): 305-313 (2021) - [j24]Ankit Agrawal, Sarsij Tripathi, Manu Vardhan:
Uncertainty query sampling strategies for active learning of named entity recognition task. Intell. Decis. Technol. 15(1): 99-114 (2021) - [j23]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) - [j22]Ankit Agrawal, Sarsij Tripathi, Manu Vardhan:
Active learning approach using a modified least confidence sampling strategy for named entity recognition. Prog. Artif. Intell. 10(2): 113-128 (2021) - [j21]Jane Cleland-Huang, Ankit Agrawal, Michael Vierhauser, Christoph Mayr-Dorn:
Visualizing Change in Agile Safety-Critical Systems. IEEE Softw. 38(3): 43-51 (2021) - [c130]Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Supporting Data Compression in PnetCDF. IEEE BigData 2021: 86-97 - [c129]Ayush Bahuguna, Ankit Agrawal, Ashutosh Bhatia, Kamlesh Tiwari, Deepak Vishwakarma:
User Profiling Using Smartphone Network Traffic Analysis. COMSNETS 2021: 69-73 - [c128]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 - [c127]Adityan Gurunarayanan, Ankit Agrawal, Ashutosh Bhatia, Deepak Kumar Vishwakarma:
Improving the performance of Machine Learning Algorithms for TOR detection. ICOIN 2021: 439-444 - [c126]Aaron Fernandes, Karan Garg, Ankit Agrawal, Ashutosh Bhatia:
Decentralized Online Voting using Blockchain and Secret Contracts. ICOIN 2021: 582-587 - [c125]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 - [c124]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 - [c123]Sophia J. Abraham, Zachariah Carmichael, Sreya Banerjee, Rosaura G. VidalMata, Ankit Agrawal, Md Nafee Al Islam, Walter J. Scheirer, Jane Cleland-Huang:
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems. WAIN@ICSE 2021: 113-120 - [c122]Michael Vierhauser, Md Nafee Al Islam, Ankit Agrawal, Jane Cleland-Huang, James Mason:
Hazard analysis for human-on-the-loop interactions in sUAS systems. ESEC/SIGSOFT FSE 2021: 8-19 - [c121]Rrezarta Krasniqi, Ankit Agrawal:
Analyzing and Detecting Emerging Quality-Related Concerns across OSS Defect Report Summaries. SANER 2021: 12-23 - [i20]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) - [i19]Sophia J. Abraham, Zachariah Carmichael, Sreya Banerjee, Rosaura G. VidalMata, Ankit Agrawal, Md Nafee Al Islam, Walter J. Scheirer, Jane Cleland-Huang:
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems. CoRR abs/2103.15053 (2021) - [i18]Ankit Agrawal, Jane Cleland-Huang:
Explaining Autonomous Decisions in Swarms of Human-on-the-Loop Small Unmanned Aerial Systems. CoRR abs/2109.02077 (2021) - [i17]Ankit Agrawal, Jane Cleland-Huang:
RescueAR: Augmented Reality Supported Collaboration for UAV Driven Emergency Response Systems. CoRR abs/2110.00180 (2021) - 2020
- [d1]Stuart Mumford, Nabil Freij, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt, Albert J. Shih, Daniel Ryan, Simon Liedtke, David Pérez-Suárez, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray:
SunPy: A Python package for Solar Physics. J. Open Source Softw. 5(46): 1832 (2020) - [j20]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) - [c120]Yashita Goswami, Ankit Agrawal, Ashutosh Bhatia:
E-Governance: A Tendering Framework Using Blockchain With Active Participation of Citizens. IEEE ANTS 2020: 1-4 - [c119]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 - [c118]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 - [c117]Ankit Agrawal, Sophia J. Abraham, Benjamin Burger, Chichi Christine, Luke Fraser, John M. Hoeksema, Sarah Hwang, Elizabeth Travnik, Shreya Kumar, Walter J. Scheirer, Jane Cleland-Huang, Michael Vierhauser, Ryan Bauer, Steve Cox:
The Next Generation of Human-Drone Partnerships: Co-Designing an Emergency Response System. CHI 2020: 1-13 - [c116]Jane Cleland-Huang, Ankit Agrawal:
Human-Drone Interactions with Semi-Autonomous Cohorts of Collaborating Drones. iHDI@CHI 2020 - [c115]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 - [c114]Ankit Agrawal, Jane Cleland-Huang, Jan-Philipp Steghöfer:
Model-Driven Requirements for Humans-on-the-Loop Multi-UAV Missions. MoDRE@RE 2020: 1-10 - [c113]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 - [c112]Jane Cleland-Huang, Ankit Agrawal, Md Nafee Al Islam, Eric Tsai, Maxime Van Speybroeck, Michael Vierhauser:
Requirements-driven configuration of emergency response missions with small aerial vehicles. SPLC (A) 2020: 26:1-26:12 - [i16]Ankit Agrawal, Sophia J. Abraham, Benjamin Burger, Chichi Christine, Luke Fraser, John M. Hoeksema, Sara Hwang, Elizabeth Travnik, Shreya Kumar, Walter J. Scheirer, Jane Cleland-Huang, Michael Vierhauser, Ryan Bauer, Steve Cox:
The Next Generation of Human-Drone Partnerships: Co-Designing an Emergency Response System. CoRR abs/2001.03849 (2020) - [i15]Sreelakshmi K. K., Ashutosh Bhatia, Ankit Agrawal:
Securing IoT Applications using Blockchain: A Survey. CoRR abs/2006.03317 (2020) - [i14]Ashutosh Bhatia, Ankit Agrawal, Ayush Bahuguna, Kamlesh Tiwari, K. Haribabu, Deepak Vishwakarma:
A Survey on Analyzing Encrypted Network Traffic of Mobile Devices. CoRR abs/2006.12352 (2020) - [i13]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) - [i12]Ankit Agrawal, Jan-Philipp Steghöfer, Jane Cleland-Huang:
Model-Driven Requirements for Humans-on-the-Loop Multi-UAV Missions. CoRR abs/2009.10267 (2020) - [i11]Jane Cleland-Huang, Ankit Agrawal:
Human-Drone Interactions with Semi-Autonomous Cohorts of Collaborating Drones. CoRR abs/2010.04101 (2020) - [i10]Akshay Joshi, Ankit Agrawal, Sushmita Nair:
Art Style Classification with Self-Trained Ensemble of AutoEncoding Transformations. CoRR abs/2012.03377 (2020)
2010 – 2019
- 2019
- [b1]Ankit Agrawal:
Hardware Contention-Aware Real-Time Scheduling on Multi-Core Platforms in Safety-Critical Systems. Kaiserslautern University of Technology, Germany, 2019 - [j19]Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary:
Survivability prediction of colon cancer patients using neural networks. Health Informatics J. 25(3) (2019) - [j18]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) - [c111]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 - [c110]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 - [c109]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 - [c108]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 - [c107]Tushar Gupta, Naman Gupta, Ankit Agrawal, Aksh Agrawal, Kartik Kansal:
Role of Big Data Analytics In Banking. IC3I 2019: 222-227 - [c106]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 - [c105]Ankit Agrawal, Seyedehzahra Khoshmanesh, Michael Vierhauser, Mona Rahimi, Jane Cleland-Huang, Robyn R. Lutz:
Leveraging artifact trees to evolve and reuse safety cases. ICSE 2019: 1222-1233 - [c104]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 - [c103]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 - [c102]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 - [c101]Shrikant Salve, Shubham Bombarde, Ankit Agrawal, Smruti Paldiwal, Bishal Sharma Roy, Bhagyashree Alhat:
Livability- Analysis of People's Living Comfort in Different Cities of India Using GIS: A Prototype. INTERACT Workshops 2019: 44-51 - [c100]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 - [i9]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) - [i8]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) - [i7]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) - [i6]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
- [j17]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) - [c99]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 - [c98]Debjani Ghosh, Ankit Agrawal, Navin Prakash, Pushkal Goyal:
Smart Saline Level Monitoring System Using ESP32 And MQTT-S. HealthCom 2018: 1-5 - [c97]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 - [c96]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 - [c95]Ankit Agrawal, Renato Mancuso, Rodolfo Pellizzoni, Gerhard Fohler:
Analysis of Dynamic Memory Bandwidth Regulation in Multi-core Real-Time Systems. RTSS 2018: 230-241 - [c94]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 - [i5]Ankit Agrawal, Renato Mancuso, Rodolfo Pellizzoni, Gerhard Fohler:
Analysis of Dynamic Memory Bandwidth Regulation in Multi-core Real-Time Systems. CoRR abs/1809.05921 (2018) - [i4]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
- [j16]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) - [j15]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) - [c93]Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok N. Choudhary:
Distinguish Polarity in Bag-of-Words Visualization. AAAI 2017: 3344-3350 - [c92]Ankit Agrawal, Gerhard Fohler, Johannes Freitag, Jan Nowotsch, Sascha Uhrig, Michael Paulitsch:
Contention-Aware Dynamic Memory Bandwidth Isolation with Predictability in COTS Multicores: An Avionics Case Study. ECRTS 2017: 2:1-2:22 - [c91]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 - [c90]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 - [c89]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 - [c88]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 - [c87]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 - [c86]Kathy Lee, Ankit Agrawal, Alok N. Choudhary:
Forecasting Influenza Levels Using Real-Time Social Media Streams. ICHI 2017: 409-414 - [c85]Kathy Lee, Sadid A. Hasan, Oladimeji Farri, Alok N. Choudhary, Ankit Agrawal:
Medical Concept Normalization for Online User-Generated Texts. ICHI 2017: 462-469 - [c84]Ankit Agrawal, Gerhard Fohler:
DRAM-related challenges in task scheduling with timing predictability on COTS multi-cores for safety-critical systems. MEMSYS 2017: 265-267 - [i3]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
- [j14]Abinash Tripathy, Ankit Agrawal, Santanu Kumar Rath:
Classification of sentiment reviews using n-gram machine learning approach. Expert Syst. Appl. 57: 117-126 (2016) - [c83]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 - [c82]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 - [c81]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 - [c80]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 - [c79]Ankit Agrawal, Alok N. Choudhary:
A Fatigue Strength Predictor for Steels Using Ensemble Data Mining: Steel Fatigue Strength Predictor. CIKM 2016: 2497-2500 - [c78]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 - [c77]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 - [c76]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 - [c75]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 - [c74]Amar Krishna, Ankit Agrawal, Alok N. Choudhary:
Predicting the Outcome of Startups: Less Failure, More Success. ICDM Workshops 2016: 798-805 - [c73]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 - [c72]Ankit Agrawal, Jason Scott Mathias, David Baker, Alok N. Choudhary:
Five Year Life Expectancy Calculator for Older Adults. ICDM Workshops 2016: 1280-1283 - [c71]Reda Al-Bahrani, Margaret K. Danilovich, Ankit Agrawal, Alok N. Choudhary:
Towards Informal Caregiver Identification in Social Media. ICHI 2016: 414 - [c70]Dianwei Han, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
A Novel Scalable DBSCAN Algorithm with Spark. IPDPS Workshops 2016: 1393-1402 - [c69]Ankit Agrawal, Gerhard Fohler, Jan Nowotsch, Sascha Uhrig, Michael Paulitsch:
Poster Abstract: Slot-Level Time-Triggered Scheduling on COTS Multicore Platform with Resource Contentions. RTAS 2016: 53 - [c68]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 - [i2]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
- [c67]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 - [c66]Kathy Lee, Ankit Agrawal, Alok N. Choudhary:
Mining Social Media Streams to Improve Public Health Allergy Surveillance. ASONAM 2015: 815-822 - [c65]Chen Jin, Ruoqian Liu, Zhengzhang Chen, William Hendrix, Ankit Agrawal, Alok N. Choudhary:
A Scalable Hierarchical Clustering Algorithm Using Spark. BigDataService 2015: 418-426 - [c64]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 - [c63]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 - [c62]Vaibhav Rastogi, Ankit Agrawal:
All your Google and Facebook logins are belong to us: A case for single sign-off. IC3 2015: 416-421 - [c61]