• 8904 Citations
1987 …2023
If you made any changes in Pure, your changes will be visible here soon.

Research Output 1987 2019

2019

Communication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training

Lee, S., Agrawal, A., Balaprakash, P., Choudhary, A. N. & Liao, W-K., Feb 8 2019, Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 47-56 10 p. 8638635. (Proceedings of MLHPC 2018: Machine Learning in HPC Environments, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Communication
Supercomputers
Synchronization
Costs
1 Citation (Scopus)

Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics

Yang, Z., Al-Bahrani, R., Reid, A. C. E., Papanikolaou, S., Kalidindi, S. R., Liao, W. K., Choudhary, A. & Agrawal, A., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852162. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Materials science
Neural networks
Availability
Deep learning
4 Citations (Scopus)

Deep materials informatics: Applications of deep learning in materials science

Agrawal, A. & Choudhary, A., Sep 1 2019, In : MRS Communications. 9, 3, p. 779-792 14 p.

Research output: Contribution to journalReview article

Open Access
Materials science
Railroad cars
Availability
Deep learning

Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning

Jha, D., Choudhary, K., Tavazza, F., Liao, W. K., Choudhary, A., Campbell, C. & Agrawal, A., Dec 1 2019, In : Nature communications. 10, 1, 5316.

Research output: Contribution to journalArticle

Open Access
learning
Density functional theory
Materials properties
density functional theory
predictions
11 Citations (Scopus)

Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches

Yang, Z., Yabansu, Y. C., Jha, D., Liao, W. K., Choudhary, A. N., Kalidindi, S. R. & Agrawal, A., Mar 2019, In : Acta Materialia. 166, p. 335-345 11 p.

Research output: Contribution to journalArticle

Elastic deformation
Composite materials
Microstructure
Materials science
Learning systems

Integration of burst buffer in high-level parallel I/O library for exa-scale computing era

Hou, K., Al-Bahrani, R., Rangel, E., Agrawal, A., Latham, R., Ross, R., Choudhary, A. & Liao, W. K., Feb 8 2019, Proceedings of PDSW-DISCS 2018: 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 1-12 12 p. 8638428. (Proceedings of PDSW-DISCS 2018: 3rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supercomputers
Computer systems
Agglomeration
3 Citations (Scopus)

IRNet: A general purpose deep residual regression framework for materials discovery

Jha, D., Wolverton, C., Ward, L., Foster, I., Yang, Z., Wei-Keng, L., Choudhary, A. & Agrawal, A., Jul 25 2019, KDD 2019 - Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2385-2393 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Crystal structure
Chemical analysis
Materials properties
Neural networks
6 Citations (Scopus)

Microstructure optimization with constrained design objectives using machine learning-based feedback-aware data-generation

Paul, A., Acar, P., Liao, W. K., Choudhary, A., Sundararaghavan, V. & Agrawal, A., Apr 1 2019, In : Computational Materials Science. 160, p. 334-351 18 p.

Research output: Contribution to journalArticle

machine learning
Learning systems
Microstructure
Machine Learning
Feedback
1 Citation (Scopus)

Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation

Han, D., Agrawal, A., Liao, W-K. & Choudhary, A. N., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 305-312 8 p. 8622258. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electric sparks
Parallel algorithms
Scalability
Merging
Processing
2 Citations (Scopus)

Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns

Jha, DI., Kusne, A. G., Al-Bahrani, R., Nguyen, N., Liao, W. K., Choudhary, A. & Agrawal, A., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852096. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Diffraction patterns
X ray diffraction
Chemical analysis
X ray diffraction analysis
Labels
2 Citations (Scopus)
Dermatoglyphics
Donor Selection
Molecules
Neural Networks (Computer)
Vulnerable Populations

Scalable Algorithms for MPI Intergroup Allgather and Allgatherv

Kang, Q., Träff, J. L., Al-Bahrani, R., Agrawal, A., Choudhary, A. & Liao, W. K., Jul 2019, In : Parallel Computing. 85, p. 220-230 11 p.

Research output: Contribution to journalArticle

Collective Communication
Communication
Large Data
Supercomputer
Vertex of a graph

Survivability prediction of colon cancer patients using neural networks

Al-Bahrani, R., Agrawal, A. & Choudhary, A., Sep 1 2019, In : Health Informatics Journal. 25, 3, p. 878-891 14 p.

Research output: Contribution to journalArticle

Colonic Neoplasms
Survival
SEER Program
ROC Curve
2 Citations (Scopus)

Transfer Learning Using Ensemble Neural Networks for Organic Solar Cell Screening

Paul, A., Jha, DI., Al-Bahrani, R., Liao, W. K., Choudhary, A. & Agrawal, A., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852446. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Molecular orbitals
Density functional theory
Screening
Neural networks
Molecular structure
2018

#Alzheimer’s and dementia

Danilovich, M. K., Tsay, J., Al-Bahrani, R., Choudhary, A. & Agrawal, A., Jan 1 2018, In : Topics in Geriatric Rehabilitation. 34, 1, p. 48-53 6 p.

Research output: Contribution to journalArticle

Alzheimer Disease
Social Support
Memory Disorders
Social Work
Caregivers
7 Citations (Scopus)

A deep adversarial learning methodology for designing microstructural material systems

Li, X., Yang, Z., Catherine Brinson, L., Choudhary, A. N., Agrawal, A. & Chen, W., Jan 1 2018, 44th Design Automation Conference. American Society of Mechanical Engineers (ASME), (Proceedings of the ASME Design Engineering Technical Conference; vol. 2B-2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Microstructure
Material Design
Methodology
Information Loss
Latent Variables
6 Citations (Scopus)
Fatigue Strength
Alloy steel
Data mining
Steel
Data Mining
14 Citations (Scopus)

Big data and extreme-scale computing: Pathways to Convergence-Toward a shaping strategy for a future software and data ecosystem for scientific inquiry

Asch, M., Moore, T., Badia, R., Beck, M., Beckman, P., Bidot, T., Bodin, F., Cappello, F., Choudhary, A. N., de Supinski, B., Deelman, E., Dongarra, J., Dubey, A., Fox, G., Fu, H., Girona, S., Gropp, W., Heroux, M., Ishikawa, Y., Keahey, K. & 19 others, Keyes, D., Kramer, W., Lavignon, J. F., Lu, Y., Matsuoka, S., Mohr, B., Reed, D., Requena, S., Saltz, J., Schulthess, T., Stevens, R., Swany, M., Szalay, A., Tang, W., Varoquaux, G., Vilotte, J. P., Wisniewski, R., Xu, Z. & Zacharov, I., Jul 1 2018, In : International Journal of High Performance Computing Applications. 32, 4, p. 435-479 45 p.

Research output: Contribution to journalReview article

Ecosystem
Ecosystems
Pathway
Extremes
Software

Building halo merger trees from the Q continuum simulation

Rangel, E., Frontiere, N., Habib, S., Heitmann, K., Liao, W-K., Agrawal, A. & Choudhary, A. N., Feb 7 2018, Proceedings - 24th IEEE International Conference on High Performance Computing, HiPC 2017. Institute of Electrical and Electronics Engineers Inc., p. 398-407 10 p. (Proceedings - 24th IEEE International Conference on High Performance Computing, HiPC 2017; vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mergers
Merging
Substructure
Continuum
Galaxies
12 Citations (Scopus)

Data-driven prediction of the high-dimensional thermal history in directed energy deposition processes via recurrent neural networks

Mozaffar, M., Paul, A., Al-Bahrani, R., Wolff, S., Choudhary, A. N., Agrawal, A., Ehmann, K. & Cao, J., Oct 1 2018, In : Manufacturing Letters. 18, p. 35-39 5 p.

Research output: Contribution to journalArticle

Recurrent neural networks
3D printers
Geometry
Process control
Physics
4 Citations (Scopus)

Data samplingschemes formicrostructure designwith vibrational tuning constraints

Paul, A., Acar, P., Liu, R., Liao, W-K., Choudhary, A. N., Sundararaghavan, V. & Agrawal, A., Jan 1 2018, In : AIAA Journal. 56, 3, p. 1239-1250 12 p.

Research output: Contribution to journalArticle

Tuning
Microstructure
Military vehicles
Yield stress
Costs
24 Citations (Scopus)

Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets

Yang, Z., Yabansu, Y. C., Al-Bahrani, R., Liao, W. K., Choudhary, A. N., Kalidindi, S. R. & Agrawal, A., Aug 2018, In : Computational Materials Science. 151, p. 278-287 10 p.

Research output: Contribution to journalArticle

linkages
Linkage
learning
Mining
Composite

DTF: An I/O arbitration framework for multi-component data processing workflows

Martsinkevich, T. V., Gerofi, B., Lien, G. Y., Nishizawa, S., Liao, W. K., Miyoshi, T., Tomita, H., Ishikawa, Y. & Choudhary, A., Jan 1 2018, High Performance Computing - 33rd International Conference, ISC High Performance 2018, Proceedings. Weiland, M., Keyes, D., Trinitis, C. & Yokota, R. (eds.). Springer Verlag, p. 63-80 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10876 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Arbitration
Data transfer
Work Flow
Parallel File System
Data Transfer
22 Citations (Scopus)

ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition

Jha, D., Ward, L., Paul, A., Liao, W-K., Choudhary, A. N., Wolverton, C. M. & Agrawal, A., Dec 1 2018, In : Scientific reports. 8, 1, 17593.

Research output: Contribution to journalArticle

Learning
Neural Networks (Computer)
Artificial Intelligence
Machine Learning
11 Citations (Scopus)

Extracting grain orientations from EBSD patterns of polycrystalline materials using convolutional neural networks

Jha, D., Singh, S., Al-Bahrani, R., Liao, W. K., Choudhary, A., De Graef, M. & Agrawal, A., Oct 1 2018, In : Microscopy and Microanalysis. 24, 5, p. 497-502 6 p.

Research output: Contribution to journalArticle

Polycrystalline materials
disorientation
Electron diffraction
Crystal orientation
Diffraction patterns

Full-duplex inter-group all-to-all broadcast algorithms with optimal bandwidth

Kang, Q., Agrawal, A., Träff, J. L., Choudhary, A., Al-Bahrani, R. & Weikeng, L., Sep 23 2018, EuroMPI 2018 - Proceedings of the 25th European MPI Users' Group Meeting. Association for Computing Machinery, a1. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bandwidth
Communication
Supercomputers
Parallel algorithms
Experiments
11 Citations (Scopus)

Microstructural materials design via deep adversarial learning methodology

Yang, Z., Li, X., Brinson, L. C., Choudhary, A. N., Chen, W. & Agrawal, A., Nov 2018, In : Journal of Mechanical Design, Transactions of the ASME. 140, 11, 111416.

Research output: Contribution to journalArticle

Microstructure
Deep learning
Energy absorption
Network architecture
Scalability
1 Citation (Scopus)

Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication

Lee, S., Jha, D., Agrawal, A., Choudhary, A. & Liao, W. K., Feb 7 2018, Proceedings - 24th IEEE International Conference on High Performance Computing, HiPC 2017. Institute of Electrical and Electronics Engineers Inc., p. 183-192 10 p. (Proceedings - 24th IEEE International Conference on High Performance Computing, HiPC 2017; vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Overlapping
Neural Networks
Neural networks
Communication
Parallelization
11 Citations (Scopus)
Stoichiometry
Seebeck coefficient
Learning systems
Machine Learning
Restriction
4 Citations (Scopus)

Towards autonomic science infrastructure: Architecture, limitations, and open issues

Kettimuthu, R., Liu, Z., Foster, I., Beckman, P. H., Sim, A., Wu, K., Liao, W. K., Kang, Q., Agrawal, A. & Choudhary, A., Jun 11 2018, Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, AI-Science 2018 - In conjunction with HPDC. Association for Computing Machinery, Inc, a2. (Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, AI-Science 2018 - In conjunction with HPDC).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Natural sciences computing
Learning systems
Learning algorithms
Computer systems
2017
5 Citations (Scopus)

A flexible I/O arbitration framework for netCDF-based big data processing workflows on high-end supercomputers

Liao, J., Gerofi, B., Lien, G. Y., Miyoshi, T., Nishizawa, S., Tomita, H., Liao, W. K., Choudhary, A. & Ishikawa, Y., Aug 10 2017, In : Concurrency Computation. 29, 15, e4161.

Research output: Contribution to journalArticle

Arbitration
Supercomputers
Supercomputer
Work Flow
Weather forecasting

A hybrid training algorithm for recurrent neural network using particle swarm optimization-based preprocessing and temporal error aggregation

Kang, Q., Liao, W. K., Agrawal, A. & Choudhary, A., Dec 15 2017, Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017. Gottumukkala, R., Karypis, G., Raghavan, V., Wu, X., Miele, L., Aluru, S., Ning, X. & Dong, G. (eds.). IEEE Computer Society, p. 812-817 6 p. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2017-November).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Backpropagation
Particle swarm optimization (PSO)
Agglomeration
Time series

Analyzing Informal Caregiving Expression in Social Media

Al-Bahrani, R., Danilovich, M. K., Liao, W. K., Choudhary, A. & Agrawal, A., Dec 15 2017, Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017. Gottumukkala, R., Karypis, G., Raghavan, V., Wu, X., Miele, L., Aluru, S., Ning, X. & Dong, G. (eds.). IEEE Computer Society, p. 342-349 8 p. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2017-November).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Health
Statistics
22 Citations (Scopus)

Context Aware Machine Learning Approaches for Modeling Elastic Localization in Three-Dimensional Composite Microstructures

Liu, R., Yabansu, Y. C., Yang, Z., Choudhary, A. N., Kalidindi, S. R. & Agrawal, A., 2017, In : Integrating Materials and Manufacturing Innovation. 6, 2, p. 160–171 12 p.

Research output: Contribution to journalArticle

Open Access
Learning systems
Microstructure
Composite materials
Data structures
Computational efficiency
99 Citations (Scopus)

Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection

Gopalakrishnan, K., Khaitan, S. K., Choudhary, A. & Agrawal, A., Dec 30 2017, In : Construction and Building Materials. 157, p. 322-330 9 p.

Research output: Contribution to journalArticle

asphalt
Pavements
Computer vision
Portland cement
Asphalt

Distinguish polarity in bag-of-words visualization

Xie, Y., Chen, Z., Agrawal, A. & Choudhary, A., Jan 1 2017, 31st AAAI Conference on Artificial Intelligence, AAAI 2017. AAAI press, p. 3344-3350 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Visualization
Semantics
Neural networks
Experiments
6 Citations (Scopus)

Forecasting Influenza Levels Using Real-Time Social Media Streams

Lee, K., Agrawal, A. & Choudhary, A. N., Sep 8 2017, Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Cummins, M., Facelli, J., Meixner, G., Giraud-Carrier, C. & Nakajima, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 409-414 6 p. 8031183. (Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Social Media
Human Influenza
Centers for Disease Control and Prevention (U.S.)
Pandemics
Resource Allocation
8 Citations (Scopus)

Improved Scaling of Molecular Network Calculations: The Emergence of Molecular Domains

Gagorik, A. G., Savoie, B., Jackson, N., Agrawal, A., Choudhary, A., Ratner, M. A., Schatz, G. C. & Kohlstedt, K. L., Jan 19 2017, In : Journal of Physical Chemistry Letters. 8, 2, p. 415-421 7 p.

Research output: Contribution to journalArticle

Butyric acid
Butyric Acid
butyric acid
esters
Esters
50 Citations (Scopus)

Including crystal structure attributes in machine learning models of formation energies via Voronoi tessellations

Ward, L., Liu, R., Krishna, A., Hegde, V. I., Agrawal, A., Choudhary, A. & Wolverton, C., Jul 14 2017, In : Physical Review B. 96, 2, 024104.

Research output: Contribution to journalArticle

machine learning
energy of formation
Learning systems
Density functional theory
Crystal structure

Legislative prediction with dual uncertainty minimization from heterogeneous information

Cheng, Y., Agrawal, A., Liu, H. & Choudhary, A., Apr 1 2017, In : Statistical Analysis and Data Mining. 10, 2, p. 107-120 14 p.

Research output: Contribution to journalArticle

Vote
Uncertainty
Prediction
Prediction Model
Voting
4 Citations (Scopus)

Medical Concept Normalization for Online User-Generated Texts

Lee, K., Hasan, S. A., Farri, O., Choudhary, A. & Agrawal, A., Sep 8 2017, Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Cummins, M., Facelli, J., Meixner, G., Giraud-Carrier, C. & Nakajima, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 462-469 8 p. 8031195. (Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Social Media
Health
Language
Benchmarking
Terminology
3 Citations (Scopus)

Parallel Implementation of Lossy Data Compression for Temporal Data Sets

Yuan, Z., Hendrix, W., Son, S. W., Federrath, C., Agrawal, A., Liao, W. K. & Choudhary, A., Feb 1 2017, Proceedings - 23rd IEEE International Conference on High Performance Computing, HiPC 2016. Institute of Electrical and Electronics Engineers Inc., p. 62-71 10 p. 7839670. (Proceedings - 23rd IEEE International Conference on High Performance Computing, HiPC 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data compression
Astrophysics
Parallel processing systems
Fluid dynamics
Climate change
6 Citations (Scopus)

Predicting the Outcome of Startups: Less Failure, More Success

Krishna, A., Agrawal, A. & Choudhary, A. N., Jan 30 2017, Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016. Baeza-Yates, R., Gullo, F., Domeniconi, C., Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Wu, X., Baeza-Yates, R., Bonchi, F. & Zhou, Z-H. (eds.). IEEE Computer Society, p. 798-805 8 p. 7836749

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data mining
Seed
Bayesian networks
Time series
Industry
6 Citations (Scopus)

Reducing I/O variability using dynamic I/O path characterization in petascale storage systems

Son, S. W., Sehrish, S., Liao, W. K., Oldfield, R. & Choudhary, A., May 1 2017, In : Journal of Supercomputing. 73, 5, p. 2069-2097 29 p.

Research output: Contribution to journalArticle

Storage System
Bandwidth
Path
Program processors
Data storage equipment
2 Citations (Scopus)

SILVERBACK+: scalable association mining via fast list intersection for columnar social data

Xie, Y., Chen, Z., Palsetia, D., Trajcevski, G., Agrawal, A. & Choudhary, A., Mar 1 2017, In : Knowledge and Information Systems. 50, 3, p. 969-997 29 p.

Research output: Contribution to journalArticle

Association reactions
Association rules
Scalability
Sampling
1 Citation (Scopus)

Towards Identifying Informal Caregivers of Alzheimer's and Dementia Patients in Social Media

Al-Bahrani, R., Danilovich, M. K., Liao, W. K., Choudhary, A. & Agrawal, A., Sep 8 2017, Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017. Cummins, M., Facelli, J., Meixner, G., Giraud-Carrier, C. & Nakajima, H. (eds.). Institute of Electrical and Electronics Engineers Inc., 1 p. 8031162. (Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Social Media
Caregivers
Alzheimer Disease
Health
2016
6 Citations (Scopus)

A fatigue strength predictor for steels using ensemble data mining

Agrawal, A. & Choudhary, A. N., Oct 24 2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2497-2500 4 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 24-28-October-2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Steel
Fatigue
Data mining
Predictors
World Wide Web
1 Citation (Scopus)

A filtering-based clustering algorithm for improving spatio-temporal kriging interpolation accuracy

Kang, Q., Liao, W. K., Agrawal, A. & Choudhary, A., Oct 24 2016, CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2209-2214 6 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 24-28-October-2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Interpolation
Kriging
Clustering algorithm
Test statistic
Mean square error of prediction
6 Citations (Scopus)

A Formation Energy Predictor for Crystalline Materials Using Ensemble Data Mining

Agrawal, A., Meredig, B., Wolverton, C. & Choudhary, A., Jul 2 2016, Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016. Domeniconi, C., Gullo, F., Bonchi, F., Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Baeza-Yates, R., Baeza-Yates, R., Zhou, Z-H. & Wu, X. (eds.). IEEE Computer Society, p. 1276-1279 4 p. 7836814. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 0).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Data mining
Crystalline materials
Chemical analysis
Density functional theory
Carrier concentration