GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments

by Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey Krupa, Kevin Pedro, Nhan Tran, Nhan Tran
Published 2021-01-01

Heterogeneous Reconstruction of Tracks and Primary Vertices With the CMS Pixel Tracker

by A. Bocci, V. Innocente, M. Kortelainen, F. Pantaleo, M. Rovere
Published 2020-12-01

Reducing Annotation Burden Through Multimodal Learning

by Kevin Lopez, Samah J. Fodeh, Ahmed Allam, Cynthia A. Brandt, Cynthia A. Brandt, Michael Krauthammer
Published 2020-06-01

Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data

by Luise Gootjes-Dreesbach, Meemansa Sood, Meemansa Sood, Akrishta Sahay, Martin Hofmann-Apitius, Martin Hofmann-Apitius, Holger Fröhlich, Holger Fröhlich, Holger Fröhlich
Published 2020-05-01

Quantitatively Measuring Privacy in Interactive Query Settings Within RDBMS Framework

by Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan
Published 2020-05-01

Commentary: A robust data-driven approach identifies four personality types across four large data sets

by Kentaro Katahira, Yoshihiko Kunisato, Yuichi Yamashita, Shinsuke Suzuki
Published 2020-02-01

Algorithmic Profiling of Job Seekers in Austria: How Austerity Politics Are Made Effective

by Doris Allhutter, Florian Cech, Fabian Fischer, Gabriel Grill, Astrid Mager
Published 2020-02-01

Causal Learning From Predictive Modeling for Observational Data

by Nandini Ramanan, Sriraam Natarajan
Published 2020-10-01

Application of a Novel Subject Classification Scheme for a Bibliographic Database Using a Data-Driven Correspondence

by Kei Kurakawa, Yuan Sun, Satoko Ando
Published 2020-01-01

Plantation Mapping in Southeast Asia

by Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, James S. Gerber, Paul C. West, Vipin Kumar
Published 2019-12-01

Big Data and the Little Big Bang: An Epistemological (R)evolution

by Dominik Balazka, Dario Rodighiero, Dario Rodighiero
Published 2020-09-01

Improving Diagnosis of Depression With XGBOOST Machine Learning Model and a Large Biomarkers Dutch Dataset (n = 11,081)

by Amita Sharma, Willem J. M. I. Verbeke
Published 2020-04-01

Embodied Predictions, Agency, and Psychosis

by Pantelis Leptourgos, Philip R. Corlett
Published 2020-08-01

Corrigendum: FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques

by Mohamed Gharibi, Arun Zachariah, Praveen Rao, Praveen Rao
Published 2020-06-01

DeepEmSat: Deep Emulation for Satellite Data Mining

by Kate Duffy, Kate Duffy, Thomas Vandal, Thomas Vandal, Shuang Li, Shuang Li, Sangram Ganguly, Sangram Ganguly, Ramakrishna Nemani, Auroop R. Ganguly
Published 2019-12-01

Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts

by Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han
Published 2020-03-01

Statistical Disease Progression Modeling in Alzheimer Disease

by Lars Lau Raket, Lars Lau Raket
Published 2020-08-01

On Robustness of Neural Architecture Search Under Label Noise

by Yi-Wei Chen, Qingquan Song, Xi Liu, P. S. Sastry, Xia Hu
Published 2020-02-01

Open Science, Open Data, and Open Scholarship: European Policies to Make Science Fit for the Twenty-First Century

by Jean-Claude Burgelman, Corina Pascu, Katarzyna Szkuta, Rene Von Schomberg, Athanasios Karalopoulos, Konstantinos Repanas, Michel Schouppe
Published 2019-12-01

Vulnerabilities of Connectionist AI Applications: Evaluation and Defense

by Christian Berghoff, Matthias Neu, Arndt von Twickel
Published 2020-07-01