Research Output 1973 2020

Filter
Conference contribution
2019

HetespaceyWalk: A heterogeneous Spacey random walk for heterogeneous information network embedding

He, Y., Song, Y., Li, J., Ji, C., Peng, J. & Peng, H., Nov 3 2019, CIKM 2019 - Proceedings of the 28th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 639-648 10 p. (International Conference on Information and Knowledge Management, Proceedings).

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

Open Access
Information networks
Random walk
Markov chain
Node
Leverage

Hierarchical multi-armed bandits for discovering hidden populations

Kumar, S., Gao, H., Wang, C., Chang, K. C. C. & Sundaram, H., Aug 27 2019, Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019. Spezzano, F., Chen, W. & Xiao, X. (eds.). Association for Computing Machinery, Inc, p. 145-153 9 p. (Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019).

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

Decision trees
Sampling
mental illness
Reinforcement learning
Ablation

Histogram sort with sampling

Harsh, V., Kale, L. V. & Solomonik, E. V., Jun 17 2019, SPAA 2019 - Proceedings of the 31st ACM Symposium on Parallelism in Algorithms and Architectures. Association for Computing Machinery, p. 201-212 12 p. (Annual ACM Symposium on Parallelism in Algorithms and Architectures).

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

Open Access
Histogram
Sort
Partition
Sampling
Sorting algorithm

Human vs bots: Detecting human attacks in a honeypot environment

Udhani, S., Withers, A. & Bashir, M. N., Jun 2019, 7th International Symposium on Digital Forensics and Security, ISDFS 2019. Varol, A., Karabatak, M., Varol, C. & Teke, S. (eds.). Institute of Electrical and Electronics Engineers Inc., 8757534. (7th International Symposium on Digital Forensics and Security, ISDFS 2019).

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

Research Personnel

Implementing computational reproducibility in the Whole Tale environment

Chard, K., Gaffney, N., Jones, M. B., Kowalik, K., Ludaescher, B., Nabrzyski, J., Stodden, V., Taylor, I., Turk, M. J. & Willis, C., Jun 17 2019, P-RECS 2019 - Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, co-located with HPDC 2019. Association for Computing Machinery, Inc, p. 17-22 6 p. (P-RECS 2019 - Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, co-located with HPDC 2019).

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

Transparency
Pipelines
Experiments

Implementing neural machine translation with bi-directional GRU and attention mechanism on FPGAs using HLS

Li, Q., Zhang, X., Xiong, J. J., Hwu, W-M. W. & Chen, D., Jan 21 2019, ASP-DAC 2019 - 24th Asia and South Pacific Design Automation Conference. Institute of Electrical and Electronics Engineers Inc., p. 693-698 6 p. (Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC).

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

Field programmable gate arrays (FPGA)
Data storage equipment
Computer hardware
Energy efficiency
Statistics

Improving strong-scaling of CNN training by exploiting finer-grained parallelism

Dryden, N., Maruyama, N., Benson, T., Moon, T., Snir, M. & Van Essen, B., May 2019, Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019. Institute of Electrical and Electronics Engineers Inc., p. 210-220 11 p. 8820780. (Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019).

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

Knobs
Decomposition
Data storage equipment
Image classification
Convolution

Improving yield mapping accuracy using remote sensing

Gonçalves Trevisan, R., Shiratsuchi, L. S., Bullock, D. S. & Martin, N. F., Jan 1 2019, Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Stafford, J. V. (ed.). Wageningen Academic Publishers, p. 901-908 8 p. (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019).

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

yield mapping
Project management
Farms
Spatial distribution
remote sensing

Initial thoughts on cybersecurity and reproducibility

Deelman, E., Stodden, V., Taufer, M. & Welch, V., Jun 17 2019, P-RECS 2019 - Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, co-located with HPDC 2019. Association for Computing Machinery, Inc, p. 13-15 3 p. (P-RECS 2019 - Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, co-located with HPDC 2019).

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

Computer systems

Interactive cinematic scientific visualization in unity

Shih, J. Y., Borkiewicz, K., Christensen, A. J. & Cox, D. J., Jul 28 2019, ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019. Association for Computing Machinery, Inc, (ACM SIGGRAPH 2019 Posters, SIGGRAPH 2019).

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

Data visualization

Interdependent networked community resilience modeling environment (INCORE)

Lee, J. S., Navarro, C. M., Tolbert, N., Kim, Y. W., Naraharisetty, V. V. G., Wang, C., Ondrejcek, M., Calderon, D., Bradley, S. L. & Fredricksen, M., Jul 28 2019, Proceedings of the Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019. Association for Computing Machinery (ACM), 3333150. (ACM International Conference Proceeding Series).

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

Keras Spatial Extending deep learning frameworks for preprocessing and on-the-fly augmentation of geospatial data

Soliman, A. & Terstriep, J., Nov 5 2019, Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019. Gao, S., Newsam, S., Zhao, L., Lunga, D., Hu, Y., Martins, B., Zhou, X. & Chen, F. (eds.). Association for Computing Machinery, Inc, p. 69-76 8 p. (Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2019).

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

Open Access
Remote sensing
Data handling
Computer vision
Derivatives
Deep learning

Lean-TRIZ - A new philosophy in service sector organization and the readiness factors influencing its implementation

Noronha, A., Bhat, S. & Bhat, S., Mar 8 2019, Emerging Trends in Mechanical Engineering 2018. Gopalakrishna, B. K. & Mudradi, S. (eds.). American Institute of Physics Inc., 060006. (AIP Conference Proceedings; vol. 2080).

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

service sector
sectors
researchers
sustainability

Learning with analytical models

Ibeid, H., Meng, S., Dobon, O., Olson, L. & Gropp, W. D., May 2019, Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019. Institute of Electrical and Electronics Engineers Inc., p. 778-786 9 p. 8778229. (Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019).

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

Hybrid Model
Analytical Model
Analytical models
Machine Learning
Learning systems

Life-cycle assessment of using sulfur-extended asphalt (SEA) in pavements

Yang, R., Ozer, H., Ouyang, Y., Alarfaj, A. H., Islam, K., Khan, M. I., Khan, K. M. & Shalabi, F. I., Jan 1 2019, Airfield and Highway Pavements 2019: Innovation and Sustainability in Highway and Airfield Pavement Technology - Selected Papers from the International Airfield and Highway Pavements Conference 2019. Al-Qadi, I. L., Ozer, H., Loizos, A. & Murrell, S. (eds.). American Society of Civil Engineers (ASCE), p. 183-192 10 p. (Airfield and Highway Pavements 2019: Innovation and Sustainability in Highway and Airfield Pavement Technology - Selected Papers from the International Airfield and Highway Pavements Conference 2019).

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

Asphalt
Pavements
Life cycle
Sulfur
Byproducts

Locus: A System and a Language for Program Optimization

Teixeira, S. F. X. T., Ancourt, C., Padua, D. A. & Gropp, W. D., Mar 5 2019, CGO 2019 - Proceedings of the 2019 IEEE/ACM International Symposium on Code Generation and Optimization. Moseley, T., Jimborean, A. & Kandemir, M. T. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 217-228 12 p. 8661203. (CGO 2019 - Proceedings of the 2019 IEEE/ACM International Symposium on Code Generation and Optimization).

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

Locus
Optimization
Compiler Optimization
Module
Program Transformation

Low-Rank Dynamic Mode Decomposition using Riemannian Manifold Optimization

Sashittal, P. & Bodony, D. J., Jan 18 2019, 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., p. 2265-2270 6 p. 8619400. (Proceedings of the IEEE Conference on Decision and Control; vol. 2018-December).

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

Riemannian Manifold
Decomposition
Decompose
Optimization
Optimization Problem

Machine Learning-Based Prediction of Building Water Consumption for Improving Building Water Efficiency

Wang, L. & El-Gohary, N., Jan 1 2019, Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019. Wang, C., Cho, Y. K., Leite, F. & Behzadan, A. (eds.). American Society of Civil Engineers (ASCE), p. 139-145 7 p. (Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019).

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

Learning systems
Water
Sustainable development
Energy utilization

MemXCT: Memory-centric X-ray CT reconstruction with massive parallelization

Hidayetolu, M., Biçer, T., De Gonzalo, S. G., Ren, B., Gürsoy, D., Kettimuthu, R., Foster, I. T. & Hwu, W. M. W., Nov 17 2019, Proceedings of SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society, a85. (International Conference for High Performance Computing, Networking, Storage and Analysis, SC).

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

Data storage equipment
X rays
Supercomputers
Synchrotrons
Image quality

Meta-GNN: Metagraph neural network for semi-supervised learning in Attributed Heterogeneous Information Networks

Sankar, A., Zhang, X. & Chang, K. C. C., Aug 27 2019, Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019. Spezzano, F., Chen, W. & Xiao, X. (eds.). Association for Computing Machinery, Inc, p. 137-144 8 p. (Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019).

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

Supervised learning
neural network
Semantics
Neural networks
semantics

MIRAS: Model-based reinforcement learning for microservice resource allocation over scientific workflows

Yang, Z., Nguyen, P., Jin, H. & Nahrstedt, K., Jul 2019, Proceedings - 2019 39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019. Institute of Electrical and Electronics Engineers Inc., p. 122-132 11 p. 8885267. (Proceedings - International Conference on Distributed Computing Systems; vol. 2019-July).

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

Reinforcement learning
Resource allocation
Architectural design
Software design
Simulators

MLModelScope: Evaluate and introspect cognitive pipelines

Li, C., Dakkak, A., Xiong, J. & Hwu, W. M., Jul 2019, Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019. Chang, C. K., Chen, P., Goul, M., Oyama, K., Reiff-Marganiec, S., Sun, Y., Wang, S. & Wang, Z. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 335-338 4 p. 8817116. (Proceedings - 2019 IEEE World Congress on Services, SERVICES 2019).

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

Pipelines
Learning systems
Innovation
Hardware
Deep learning

Modeling improvement for underrepresented minorities in online STEM education

Bosch, N., Huang, E., Angrave, L. & Perry, M., Jun 7 2019, ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, p. 327-335 9 p. (ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization).

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

Open Access
Education
Students

Moya—A JIT Compiler for HPC

Prabhu, T. & Gropp, W. D., Jan 1 2019, Programming and Performance Visualization Tools - International Workshops, ESPT 2017 and VPA 2017, Revised Selected Papers. Levine, J. A., Schulz, M., Malony, A. D., Bhatele, A. & Boehme, D. (eds.). Springer-Verlag, p. 56-73 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11027 LNCS).

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

Compiler
Annotation
Dynamic Optimization
Static analysis
Static Analysis

Navigation graph for tiled media streaming

Park, J. & Nahrstedt, K., Oct 15 2019, MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia. Association for Computing Machinery, Inc, p. 447-455 9 p. (MM 2019 - Proceedings of the 27th ACM International Conference on Multimedia).

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

Media streaming
Navigation
Video streaming
Augmented reality
Tile

Near-Memory and In-Storage FPGA Acceleration for Emerging Cognitive Computing Workloads

Dhar, A., Huang, S., Xiong, J., Jamsek, D., Mesnet, B., Huang, J., Kim, N. S., Hwu, W. M. & Chen, D., Jul 2019, Proceedings - 2019 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2019. IEEE Computer Society, p. 68-75 8 p. 8839401. (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI; vol. 2019-July).

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

Field programmable gate arrays (FPGA)
Particle accelerators
Data storage equipment
Bandwidth
Data transfer

Nested parallelism with algorithmic skeletons

Majidi, A., Thomas, N., Smith, T., Amato, N. & Rauchwerger, L., Jan 1 2019, Languages and Compilers for Parallel Computing - 31st International Workshop, LCPC 2018, Revised Selected Papers. Hall, M. & Sundar, H. (eds.). Springer, p. 159-175 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11882 LNCS).

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

Skeleton
Parallelism
Specifications
Hierarchical systems
Parallel programming

New Divide-and-Conquer Techniques for Large-Scale Phylogenetic Estimation

Warnow, T., Jan 1 2019, Algorithms for Computational Biology - 6th International Conference, AlCoB 2019, Proceedings. Vega-Rodríguez, M. A., Holmes, I. & Martín-Vide, C. (eds.). Springer-Verlag, p. 3-21 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11488 LNBI).

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

Divide and conquer
Phylogenetics
Scalability
Subset
Large Data Sets

Parsl: Pervasive parallel programming in Python

Babuji, Y., Woodard, A., Li, Z., Katz, D. S., Clifford, B., Kumar, R., Lacinski, L., Chard, R., Wozniak, J. M., Foster, I., Wilde, M. & Chard, K., Jun 17 2019, HPDC 2019- Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing. Association for Computing Machinery, Inc, p. 25-36 12 p. (HPDC 2019- Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing).

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

Open Access
Parallel programming
Machine oriented languages
Cosmology
Supercomputers
Materials science

Personal embodiment, social enactment: Collaborative learning with body technology

Fields, D. A., Lee, V. R., Litts, B. K., Mortensen, C. K., Ching, C. C., Danish, J. A., Humburg, M., Davis, B., Tu, X., Lui, D., Shaw, M., Jayathirtha, G., Kafai, Y., Lindberg, L., Lindgren, R., Planey, J., Morphew, J., Taylor, K. H., Bell, A., Riesland, E. & 5 others, Hays, M., Silvis, D., Dubovi, I., Hall, R. & Enyedy, N., Jan 1 2019, A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings. Lund, K., Niccolai, G. P., Lavoue, E., Hmelo-Silver, C., Gweon, G. & Baker, M. (eds.). International Society of the Learning Sciences (ISLS), p. 798-805 8 p. (Computer-Supported Collaborative Learning Conference, CSCL; vol. 2).

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

learning
technical development
epistemology
research method
experience

Predicting the difficulty of automatic item generators on exams from their difficulty on homeworks

Chen, B., West, M. & Zilles, C., Jun 24 2019, Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019. Association for Computing Machinery, Inc, (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019).

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

Open Access
homework
Students
mechanical engineering
student
Mechanical engineering

PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference

Ankit, A., El Hajj, I., Rahul Chalamalasetti, S., Ndu, G., Foltin, M., Williams, R. S., Faraboschi, P., Hwu, W. M., Paul Strachan, J., Roy, K. & Milojicic, D. S., Apr 4 2019, ASPLOS 2019 - 24th International Conference on Architectural Support for Programming Languages and Operating Systems. Association for Computing Machinery, p. 715-731 17 p. (International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS).

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

Open Access
Memristors
Particle accelerators
Learning systems
Image recognition
Energy efficiency

Quantifying the Impact of Memory Errors in Deep Learning

Zhang, Z., Huang, L., Huang, R., Xu, W. & Katz, D. S., Sep 2019, Proceedings - 2019 IEEE International Conference on Cluster Computing, CLUSTER 2019. Institute of Electrical and Electronics Engineers Inc., 8890989. (Proceedings - IEEE International Conference on Cluster Computing, ICCC; vol. 2019-September).

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

Data storage equipment
Error correction
Random access storage
Deep learning
Fault tolerance

Reducing mind-wandering during vicarious learning from an intelligent tutoring system

Mills, C., Bosch, N., Krasich, K. & D’Mello, S. K., Jan 1 2019, Artificial Intelligence in Education - 20th International Conference, AIED 2019, Proceedings. Isotani, S., Millán, E., Ogan, A., McLaren, B., Hastings, P. & Luckin, R. (eds.). Springer-Verlag, p. 296-307 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11625 LNAI).

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

Intelligent Tutoring Systems
Intelligent systems
Students
Expertise
Online Learning

REINAM: Reinforcement learning for input-grammar inference

Wu, Z., Johnson, E., Yang, W., Bastani, O., Song, D., Peng, J. & Xie, T., Aug 12 2019, ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Apel, S., Dumas, M., Russo, A. & Pfahl, D. (eds.). Association for Computing Machinery, Inc, p. 488-498 11 p. (ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering).

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

Reinforcement learning
Seed
Software engineering
Engines
Testing

Relationship profiling over social networks: Reverse smoothness from similarity to closeness

Yang, C. & Chang, K. C-C., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 342-350 9 p. (SIAM International Conference on Data Mining, SDM 2019).

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

Semantics
Supervised learning
Experiments

Research software development & management in Universities: Case studies from manchester's RSDS Group, Illinois' NCSA, and Notre Dame's CRC

Katz, D. S., McHenry, K., Reinking, C. & Haines, R., May 2019, Proceedings - 2019 IEEE/ACM 14th International Workshop on Software Engineering for Science, SE4Science 2019. Institute of Electrical and Electronics Engineers Inc., p. 17-24 8 p. 8823733. (Proceedings - 2019 IEEE/ACM 14th International Workshop on Software Engineering for Science, SE4Science 2019).

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

Software engineering
Students

Scalable parallel programming in python with PArsL

Babuji, Y., Woodard, A., Li, Z., Katz, D. S., Clifford, B., Foster, I., Wilde, M. & Chard, K., Jul 28 2019, Proceedings of the Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019. Association for Computing Machinery, 3332231. (ACM International Conference Proceeding Series).

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

Parallel programming
Supercomputers
Natural sciences computing
High level languages

Scientific tests and continuous integration strategies to enhance reproducibility in the scientific software context

Krafczyk, M., Shi, A., Bhaskar, A., Marinov, D. & Stodden, V., Jun 17 2019, P-RECS 2019 - Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, co-located with HPDC 2019. Association for Computing Machinery, Inc, p. 23-28 6 p. (P-RECS 2019 - Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, co-located with HPDC 2019).

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

Software testing
Physics
Testing
Open source software

See the collaboration through the code: Using data mining and cordtra graphs to analyze blocks-based programming

Tissenbaum, M. & Kumar, V., Jan 1 2019, A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings - 13th International Conference on Computer Supported Collaborative Learning, CSCL 2019 - Conference Proceedings. Lund, K., Niccolai, G. P., Lavoue, E., Hmelo-Silver, C., Gweon, G. & Baker, M. (eds.). International Society of the Learning Sciences (ISLS), p. 680-683 4 p. (Computer-Supported Collaborative Learning Conference, CSCL; vol. 2).

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

Data mining
programming
Students
Application programs
student

Similarity modeling on heterogeneous networks via automatic path discovery

Yang, C., Liu, M., He, F., Zhang, X., Peng, J. & Han, J., Jan 1 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Bonchi, F., Berlingerio, M., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Springer-Verlag, p. 37-54 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11052 LNAI).

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

Heterogeneous networks
Heterogeneous Networks
Reinforcement learning
Path
Computer simulation

Site-specific treatment responses in on-farm precision experimentation

Trevisan, R. G., Bullock, D. S. & Martin, N. F., Jan 1 2019, Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Stafford, J. V. (ed.). Wageningen Academic Publishers, p. 925-931 7 p. (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019).

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

Farms
Crops
farms
Soils
soil heterogeneity

SMURF: Efficient and Scalable Metadata Access for Distributed Applications from Edge to the Cloud

Zhang, B. & Kosar, T., Jul 2019, Proceedings - 2019 IEEE International Conference on Edge Computing, EDGE 2019 - Part of the 2019 IEEE World Congress on Services. Bertino, E., Chang, C. K., Chen, P., Damiani, E., Goul, M. & Oyama, K. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 102-106 5 p. 8812196. (Proceedings - 2019 IEEE International Conference on Edge Computing, EDGE 2019 - Part of the 2019 IEEE World Congress on Services).

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

Metadata
Wide area networks
Semantics
Latency

Stochastic primal-dual Q-learning algorithm for discounted mdps

Lee, D. & He, N., Jul 2019, 2019 American Control Conference, ACC 2019. Institute of Electrical and Electronics Engineers Inc., p. 4897-4902 6 p. 8815275. (Proceedings of the American Control Conference; vol. 2019-July).

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

Reinforcement learning
Learning algorithms
Hinges
Linear programming

Stochastic variance reduction for deep Q-iearning

Zhao, W. Y. & Peng, J., Jan 1 2019, 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 2318-2320 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 4).

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

Reinforcement learning
Experiments
Deep learning

Target-based temporal-difference learning

Lee, D. & He, N., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 6619-6628 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

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

Learning algorithms
Reinforcement learning
learning
reinforcement
simulation

The economic value of on-farm precision experimentation

Bullock, D. S. & Mieno, T., Jan 1 2019, Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Stafford, J. V. (ed.). Wageningen Academic Publishers, p. 817-823 7 p. (Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019).

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

economic valuation
Farms
farmers
farms
Economics

The origins space telescope

Leisawitz, D., Amatucci, E., Allen, L., Arenberg, J., Armus, L., Battersby, C., Beaman, B. G., Bauer, J., Bell, R., Beltran, P., Benford, D., Bergin, E., Bolognese, J., Bradford, C. M., Bradley, D., Burgarella, D., Carey, S., Carter, R., Chi, J. D., Cooray, A. & 84 others, Corsetti, J., D'Asto, T., De Beck, E., Denis, K. S., Derkacz, C., Dewell, L., Dipirro, M., Earle, C. P., East, M., Edgington, S., Ennico, K., Fantano, L., Feller, G., Flores, A., Folta, D., Fortney, J., Gavares, B. J., Generie, J., Gerin, M., Granger, Z., Greene, T. P., Griffiths, A., Harpole, G., Harvey, K., Helmich, F., Helou, G., Hilliard, L., Howard, J., Jacoby, M., Jamil, A., Jamison, T., Kaltenegger, L., Kataria, T., Knight, J. S., Knollenberg, P., Lawrence, C., Lightsey, P., Lipscy, S., Lynch, C., Mamajek, E., Martins, G., Mather, J. C., Meixner, M., Melnick, G., Milam, S., Mooney, T., Moseley, S. H., Narayanan, D., Neff, S., Nguyen, T., Nordt, A., Olson, J., Padgett, D., Petach, M., Petro, S., Pohner, J., Pontoppidan, K., Pope, A., Ramspacher, D., Rao, A., Rieke, G., Rieke, M., Roellig, T., Sakon, I., Sandin, C., Sandstrom, K., Scott, D., Seals, L., Sheth, K., Staguhn, J., Steeves, J., Stevenson, K., Stokowski, L., Stoneking, E., Su, K., Tajdaran, K., Tompkins, S., Turner, J., Vieira, J., Webster, C., Wiedner, M., Wright, E. L., Wu, C. & Zmuidzinas, J., Jan 1 2019, UV/Optical/IR Space Telescopes and Instruments: Innovative Technologies and Concepts IX. Barto, A. A., Breckinridge, J. B. & Stahl, H. P. (eds.). SPIE, 111150Q. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11115).

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

Space Telescope
Space telescopes
Telescopes
telescopes
Telescope

The professionalization of cyberinfrastructure personnel?

Berente, N., Ahalt, S., Bottum, J., Brunson, D., Cutcher-Gershenfeld, J., Howison, J., King, J. L., Neeman, H., Towns, J., Wilkins-Diehr, N. & Winter, S., Jul 28 2019, Proceedings of the Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019. Association for Computing Machinery, 3332225. (ACM International Conference Proceeding Series).

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

Personnel
Information technology

Towards a Bayesian Approach for Assessing Fault Tolerance of Deep Neural Networks

Banerjee, S. S., Cyriac, J., Jha, S., Kalbarczyk, Z. T. & Iyer, R. K., Jun 2019, Proceedings - 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2019. Institute of Electrical and Electronics Engineers Inc., p. 25-26 2 p. 8805761. (Proceedings - 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2019).

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

Fault tolerance
Neural networks
Markov processes
Deep neural networks
Deep learning