• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 63 matches

• 2023
• 
  Keichi Takahashi, Kohei Ichikawa, Joseph Park, Gerald M. Pao:
  Scalable Empirical Dynamic Modeling With Parallel Computing and Approximate k-NN Search. IEEE Access 11: 68171-68183 (2023)
• 
  Yanghui Hu, Yuming Zhang, Hongliang Lu, Daidao Tan, Junjun Qi:
  Scalable modeling of grounded coplanar waveguide for MMICs design using neural network with an effective sampling strategy. Microelectron. J. 131: 105670 (2023)
• 
  Thakshanth Uthayakumar, Abubaker Abdelhafiz, Xianbin Wang, Ming Jian:
  Scalable Single-Input Behavioral Modeling Architecture for MIMO Systems With Crosstalk. IEEE Trans. Circuits Syst. I Regul. Pap. 70(5): 2179-2188 (2023)
• 
  Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li:
  HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. CoRR abs/2303.17464 (2023)
• 
  Michael Donello, G. Palkar, Mohammad Hossein Naderi, David C. Del Rey Fernández, Hessam Babaee:
  CUR Decomposition for Scalable Rank-Adaptive Reduced-Order Modeling of Nonlinear Stochastic PDEs with Time-Dependent Bases. CoRR abs/2305.04291 (2023)
• 2022
• 
  Giancarlo Fissore:
  Generative modeling: statistical physics of Restricted Boltzmann Machines, learning with missing information and scalable training of Linear Flows. (Modélisation générative: physique statistique des Machines de Boltzmann Restreintes, apprentissage avec informations manquantes et apprentissage scalable des flux linéaires). University of Paris-Saclay, France, 2022
• 
  Hongyu Zhou, Yang Liu, Jing Wang:
  Time-space domain scalar wave modeling by a novel hybrid staggered-grid finite-difference method with high temporal and spatial accuracies. J. Comput. Phys. 455: 111004 (2022)
• 
  Changnian Han, Peng Zhang, Yicong Zhu, Guojing Cong, James R. Kozloski, Chih-Chieh Yang, Leili Zhang, Yuefan Deng:
  Scalable multiscale modeling of platelets with 100 million particles. J. Supercomput. 78(18): 19707-19724 (2022)
• 
  Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith:
  Modeling Context With Linear Attention for Scalable Document-Level Translation. EMNLP (Findings) 2022: 6931-6939
• 
  William S. Sanders, Srishti Srivastava, Ioana Banicescu:
  Performance Modeling of Scalable Resource Allocations with the Imperial PEPA Compiler. ISPDC 2022: 99-106
• 
  Haoyu Geng, Guanjie Zheng, Zhengqing Han, Hua Wei, Zhenhui Li:
  HMES: A Scalable Human Mobility and Epidemic Simulation System with Fast Intervention Modeling. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 468-475
• 
  Ekta Gujral:
  Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition. CoRR abs/2210.04404 (2022)
• 
  Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith:
  Modeling Context With Linear Attention for Scalable Document-Level Translation. CoRR abs/2210.08431 (2022)
• 2021
• 
  Ekta Gujral:
  Modeling and Mining Multi-Aspect Graphs With Scalable Streaming Tensor Decomposition. University of California, Riverside, USA, 2021
• 
  Eunbi Hwang, Hyunseok Lee, Seyeon Jeong, Mingi Cho, Taekyoung Kwon:
  Toward Fast and Scalable Firmware Fuzzing With Dual-Level Peripheral Modeling. IEEE Access 9: 141790-141799 (2021)
• 
  Mohammad Abdur Razzaque:
  Enabling Efficient and Scalable Service Search in IoT With Topic Modeling: An Evaluation. IEEE Access 9: 53452-53465 (2021)
• 
  Seyoon Ko, Ginny X. Li, Hyungwon Choi, Joong-Ho Won:
  Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx. Briefings Bioinform. 22(6) (2021)
• 
  Min Yuan, Xu Steven Xu, Yaning Yang, Yinsheng Zhou, Yi Li, Jinfeng Xu, Jose Pinheiro:
  SCEBE: an efficient and scalable algorithm for genome-wide association studies on longitudinal outcomes with mixed-effects modeling. Briefings Bioinform. 22(3) (2021)
• 
  Yasunori Toshimitsu, Ki Wan Wong, Thomas Buchner, Robert K. Katzschmann:
  SoPrA: Fabrication & Dynamical Modeling of a Scalable Soft Continuum Robotic Arm with Integrated Proprioceptive Sensing. IROS 2021: 653-660
• 
  Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry:
  Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. NeurIPS 2021: 1378-1389
• 
  Tsuyoshi Ichimura, Kohei Fujita, Kentaro Koyama, Yuma Kikuchi, Ryota Kusakabe, Kazuo Minami, Hikaru Inoue, Seiya Nishizawa, Miwako Tsuji, Tatsuo Nishiki, Muneo Hori, Lalith Maddegedara, Naonori Ueda:
  Fast scalable implicit solver with convergence of equation-based modeling and data-driven learning: earthquake city simulation on low-order unstructured finite element. PASC 2021: 12:1-12:12
• 
  Yasunori Toshimitsu, Ki Wan Wong, Thomas Buchner, Robert K. Katzschmann:
  SoPrA: Fabrication & Dynamical Modeling of a Scalable Soft Continuum Robotic Arm with Integrated Proprioceptive Sensing. CoRR abs/2103.10726 (2021)
• 
  Niv Giladi, Zvika Ben-Haim, Sella Nevo, Yossi Matias, Daniel Soudry:
  Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling. CoRR abs/2106.07218 (2021)
• 
  Mengying Lei, Aurélie Labbe, Lijun Sun:
  Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression. CoRR abs/2109.00046 (2021)
• 2020
• 
  Nicolas Pinel, Cédric Le Bastard, Christophe Bourlier:
  Modeling of EM Wave Coherent Scattering From a Rough Multilayered Medium With the Scalar Kirchhoff Approximation for GPR Applications. IEEE Trans. Geosci. Remote. Sens. 58(3): 1654-1664 (2020)
• 
  Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Michelle Girvan, Troy Arcomano, Istvan Szunyogh, Andrew Pomerance, Edward Ott:
  Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems. CoRR abs/2002.05514 (2020)
• 
  Leila Rashidi, Amir Dalili-Yazdi, Reza Entezari-Maleki, Leonel Sousa, Ali Movaghar:
  Performance Modeling of Epidemic Routing in Mobile Social Networks with Emphasis on Scalability. CoRR abs/2002.05884 (2020)
• 2019
• 
  Ishfaq Hussain, Shahid Ali Murtza, Muhammad Yasir Qadri, Martin Fleury, Nadia N. Qadri:
  Scalable, energy-aware system modeling and application-specific reconfiguration of MPSocs with a type-2 fuzzy logic system. Comput. Electr. Eng. 74: 292-304 (2019)
• 
  Creighton Heaukulani, Mark van der Wilk:
  Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes. NeurIPS 2019: 4584-4594
• 
  Creighton Heaukulani, Mark van der Wilk:
  Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes. CoRR abs/1906.09360 (2019)

skipping 33 more matches