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Frontiers in Big Data, Volume 3
Volume 3, 2020
- Sophie Giffard-Roisin, Mo Yang, Guillaume Charpiat, Christina Kumler-Bonfanti, Balázs Kégl, Claire Monteleoni:
Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data. 1 - Yi-Wei Chen, Qingquan Song, Xi Liu, P. S. Sastry, Xia Hu:
On Robustness of Neural Architecture Search Under Label Noise. 2 - Salla-Maaria Laaksonen, Jesse Haapoja, Teemu Kinnunen, Matti Nelimarkka, Reeta Pöyhtäri:
The Datafication of Hate: Expectations and Challenges in Automated Hate Speech Monitoring. 3 - Shruti Kaushik, Abhinav Choudhury, Pankaj Kumar Sheron, Nataraj Dasgupta, Sayee Natarajan, Larry A. Pickett, Varun Dutt:
AI in Healthcare: Time-Series Forecasting Using Statistical, Neural, and Ensemble Architectures. 4 - Doris Allhutter, Florian Cech, Fabian Fischer, Gabriel Grill, Astrid Mager:
Algorithmic Profiling of Job Seekers in Austria: How Austerity Politics Are Made Effective. 5 - Bradley J. Nartowt, Gregory R. Hart, Wazir Muhammad, Ying Liang, Gigi Felice Stark, Jun Deng:
Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification. 6 - Ashwini Rao, Jürgen Pfeffer:
Types of Privacy Expectations. 7 - Kentaro Katahira, Yoshihiko Kunisato, Yuichi Yamashita, Shinsuke Suzuki:
Commentary: A robust data-driven approach identifies four personality types across four large data sets. 8 - Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts. 9 - Iliana E. Mladenova, John D. Bolten, Wade T. Crow, Nazmus Sazib, Curt Reynolds:
Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model. 10 - Muhammad Imran Khan, Simon N. Foley, Barry O'Sullivan:
Quantitatively Measuring Privacy in Interactive Query Settings Within RDBMS Framework. 11 - Mohamed Gharibi, Arun Zachariah, Praveen Rao:
FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques. 12 - Joshua Pitts, Sucharita Gopal, Yaxiong Ma, Magaly Koch, Roelof Boumans, Les Kaufman:
Leveraging Big Data and Analytics to Improve Food, Energy, and Water System Sustainability. 13 - Furqan Baig, Chao Gao, Dejun Teng, Jun Kong, Fusheng Wang:
Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform With CUDA and OpenACC. 14 - Amita Sharma, Willem J. M. I. Verbeke:
Improving Diagnosis of Depression With XGBOOST Machine Learning Model and a Large Biomarkers Dutch Dataset (n = 11, 081). 15 - Jason Radford, Kenneth Joseph:
Theory In, Theory Out: The Uses of Social Theory in Machine Learning for Social Science. 18 - Luise Gootjes-Dreesbach, Meemansa Sood, Akrishta Sahay, Martin Hofmann-Apitius, Holger Fröhlich:
Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data. 16 - Feng Tao, Zhenghu Zhou, Yuanyuan Huang, Qianyu Li, Xingjie Lu, Shuang Ma, Xiaomeng Huang, Yishuang Liang, Gustaf Hugelius, Lifen Jiang, Russell B. Doughty, Zhehao Ren, Yiqi Luo:
Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States. 17 - Kevin Lopez, Samah J. Fodeh, Ahmed Allam, Cynthia Brandt, Michael Krauthammer:
Reducing Annotation Burden Through Multimodal Learning. 19 - Muhammed Mas-ud Hussain, Mir Imtiaz Mostafiz, S. M. Farabi Mahmud, Goce Trajcevski, Mohammed Eunus Ali:
Conditional MaxRS Query for Evolving Spatial Data. 20 - Mohamed Gharibi, Arun Zachariah, Praveen Rao:
Corrigendum: FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques. 21 - Scott Christley, Ademar Aguiar, George Blanck, Felix Breden, Syed Ahmad Chan Bukhari, Christian E. Busse, Jerome Jaglale, Srilakshmy L. Harikrishnan, Uri Laserson, Bjoern Peters, Artur Rocha, Chaim A. Schramm, Sarah Taylor, Jason A. Vander Heiden, Bojan Zimonja, Corey T. Watson, Brian Corrie, Lindsay G. Cowell:
The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons. 22 - Christian Berghoff, Matthias Neu, Arndt von Twickel:
Vulnerabilities of Connectionist AI Applications: Evaluation and Defense. 23 - Lars Lau Rakêt:
Statistical Disease Progression Modeling in Alzheimer Disease. 24 - Chenyu Li, Paola Romagnani, Hans-Joachim Anders:
Novel Criteria for When and How to Exit a COVID-19 Pandemic Lockdown. 26 - Pantelis Leptourgos, Philip R. Corlett:
Embodied Predictions, Agency, and Psychosis. 27 - Alice Baird, Björn W. Schuller:
Considerations for a More Ethical Approach to Data in AI: On Data Representation and Infrastructure. 25 - Tin Vu, Ahmed Eldawy:
R*-Grove: Balanced Spatial Partitioning for Large-Scale Datasets. 28 - Angel Hsu, Willie Khoo, Nihit Goyal, Martin Wainstein:
Next-Generation Digital Ecosystem for Climate Data Mining and Knowledge Discovery: A Review of Digital Data Collection Technologies. 29 - Dominik Balazka, Dario Rodighiero:
Big Data and the Little Big Bang: An Epistemological (R)evolution. 31 - Mingjie Tang, Yongyang Yu, Ahmed R. Mahmood, Qutaibah M. Malluhi, Mourad Ouzzani, Walid G. Aref:
LocationSpark: In-memory Distributed Spatial Query Processing and Optimization. 30 - Nandini Ramanan, Sriraam Natarajan:
Causal Learning From Predictive Modeling for Observational Data. 535976 - George Nasser, Ben W. Morrison, Piers Bayl-Smith, Ronnie Taib, Michael Gayed, Mark W. Wiggins:
The Role of Cue Utilization and Cognitive Load in the Recognition of Phishing Emails. 546860 - Ian McCulloh, Kevin Kiernan, Trevor Kent:
Inferring True COVID19 Infection Rates From Deaths. 565589 - Max Pellert, Jana Lasser, Hannah Metzler, David García:
Dashboard of Sentiment in Austrian Social Media During COVID-19. 32 - Beckett W. Sterner, Edward E. Gilbert, Nico M. Franz:
Decentralized but Globally Coordinated Biodiversity Data. 519133 - Umakant Mishra, Sagar Gautam, William J. Riley, Forrest M. Hoffman:
Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region. 528441 - Maria Schmidt, Lydia Hopp, Arsen Arakelyan, Holger Kirsten, Christoph Engel, Kerstin Wirkner, Knut Krohn, Ralph Burkhardt, Joachim Thiery, Markus Loeffler, Henry Löffler-Wirth, Hans Binder:
The Human Blood Transcriptome in a Large Population Cohort and Its Relation to Aging and Health. 548873 - Patricia L. Mabry, Xiaoran Yan, Valentin Pentchev, Robert Van Rennes, Stephanie Hernandez McGavin, Jamie Viva Wittenberg:
CADRE: A Collaborative, Cloud-Based Solution for Big Bibliographic Data Research in Academic Libraries. 556282 - Yoann Bertrand, Karima Boudaoud, Michel Riveill:
What Do You Think About Your Company's Leaks? A Survey on End-Users Perception Toward Data Leakage Mechanisms. 568257 - An-Kwok Ian Wong, Patricia C. Cheung, Rishikesan Kamaleswaran, Greg S. Martin, Andre L. Holder:
Machine Learning Methods to Predict Acute Respiratory Failure and Acute Respiratory Distress Syndrome. 579774 - Adnan Qayyum, Aneeqa Ijaz, Muhammad Usama, Waleed Iqbal, Junaid Qadir, Yehia Elkhatib, Ala I. Al-Fuqaha:
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security. 587139 - Katharina E. Kinder-Kurlanda, Katrin Weller:
Perspective: Acknowledging Data Work in the Social Media Research Lifecycle. 509954 - Gerald P. Clarke, Adam Kapelner:
The Bayesian Additive Regression Trees Formula for Safe Machine Learning-Based Intraocular Lens Predictions. 572134 - Remy Kusters, Dusan Misevic, Hugues Berry, Antoine Cully, Yann Le Cunff, Loic Dandoy, Natalia Díaz Rodríguez, Marion Ficher, Jonathan Grizou, Alice Othmani, Themis Palpanas, Matthieu Komorowski, Patrick Loiseau, Clément Moulin-Frier, Santino Nanini, Daniele Quercia, Michèle Sebag, Françoise Fogelman-Soulié, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie, Fatima Wehbi:
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. 577974 - Marco Rovere, Ziheng Chen, Antonio Di Pilato, Felice Pantaleo, Chris Seez:
CLUE: A Fast Parallel Clustering Algorithm for High Granularity Calorimeters in High-Energy Physics. 591315 - Megan Moreno, Travaughn C. Bain, Melissa S. Moreno, Katherine C. Carroll, Emily R. Cunningham, Zoe Ashton, Roby Poteau, Ersoy Subasi, Michael Lipkowitz, Munevver Mine Subasi:
Identifying Clinical and Genomic Features Associated With Chronic Kidney Disease. 528828 - Patrick M. Wurster, Marco P. Maneta, John S. Kimball, K. Arthur Endsley, Santiago Beguería:
Monitoring Crop Status in the Continental United States Using the SMAP Level-4 Carbon Product. 597720 - Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu:
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics. 598927 - A. Bocci, Vincenzo Innocente, M. Kortelainen, Felice Pantaleo, Marco Rovere:
Heterogeneous Reconstruction of Tracks and Primary Vertices With the CMS Pixel Tracker. 601728 - Michael Wang, Tingjun Yang, Maria Acosta Flechas, Philip C. Harris, Benjamin Hawks, Burt Holzman, Kyle Knoepfel, Jeffrey D. Krupa, Kevin Pedro, Nhan Tran:
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments. 604083 - Naoki Abe, Huan Liu, Kuansan Wang:
Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery. 637906 - Nikolaus Poechhacker, Severin Kacianka:
Algorithmic Accountability in Context. Socio-Technical Perspectives on Structural Causal Models. 519957 - Giovanni Abbiati, Silvio Ranise, Antonio Schizzerotto, Alberto Siena:
Merging Datasets of CyberSecurity Incidents for Fun and Insight. 521132 - Puspita Majumdar, Saheb Chhabra, Richa Singh, Mayank Vatsa:
Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction. 590296 - Steven Martin Turnbull, Dion R. J. O'Neale:
Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation. 599016 - Vasiliki Nataly Rahimzadeh:
A Policy and Practice Review of Consumer Protections and Their Application to Hospital-Sourced Data Aggregation and Analytics by Third-Party Companies. 603044 - Muhammad Ifte Islam, Farhan Tanvir, Ginger Johnson, Esra Akbas, Mehmet Emin Aktas:
Proximity-Based Compression for Network Embedding. 608043
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