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Papers citing Big data need big theory too

  1. The Nature of Organizing: A Relational Approach to Understanding Business Sustainability

    Organization & Environment · 2019

    Jason Good, Andrea Stevenson Thorpe

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  2. A Systematic Review on Big Data Analytics Frameworks for Higher Education - Tools and Algorithms

    International Conference on E-Business, Information Management and Computer Science (EBIMCS) · 2019

    David Otoo-Arthur, Terence L. van Zyl

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  3. Improving palliative care with machine learning and routine data: a rapid review

    HRB Open Research · 2019

    Virginia Storick, Aoife O’Herlihy, Sarah Abdelhafeez, R Ahmed, Peter May

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  4. TRANSPORT MODELING WITH A PURPOSE: HOW URBAN SYSTEMS DESIGN CAN BRIDGE THE GAPS BETWEEN MODELING, PLANNING, AND DESIGN

    WIT transactions on the built environment · 2019

    Robert Brent Binder, Zachary Lancaster, Michael B. Tobey, Peraphan Jittrapirom, Yoshiki Yamagata

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  5. Through the Looking Glass

    Film International · 2019

    Paula Murphy

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  6. Retailing and retailing research in the age of big data analytics

    International Journal of Research in Marketing · 2019

    Marnik G. Dekimpe

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  7. Factoring a 2 x 2 contingency table

    PLoS ONE · 2019

    Stanley Luck

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  8. The Human Ecological Perspective and Biopsychosocial Medicine

    International Journal of Environmental Research and Public Health · 2019

    Felix Tretter, Henriette Löffler‐Stastka

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  9. An integrative methodology based on protein-protein interaction networks for identification and functional annotation of disease-relevant genes applied to channelopathies

    BMC Bioinformatics · 2019

    Milagros Marín, Francisco José Esteban, Hilario Ramírez-Rodrigo, Eduardo Ros, María José Sáez‐Lara

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  10. Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns

    Frontiers in Chemistry · 2019

    Tânia F. G. G. Cova, Alberto A. C. C. Pais

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  11. A Model of Growth Trajectory Bifurcation in Animals Ontogeny

    International Journal of Biology · 2019

    V. L. Stass

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  12. El voto vigilado. Influencia y control electoral en las hermandades de Huelva durante el Antiguo Régimen

    Hispania Sacra · 2019

    Manuel José de Lara Ródenas

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  13. Bayesian Estimation of the Shape Parameters of Mcdonald Generalized Beta-Binomial Distribution

    OALib · 2020

    Immaculate Kathomi Murithi, Justin Obwoge Okenye, Ali Salim Islam, Ronald Waliaula Wanyonyi

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  14. Big-data driven approaches in materials science: A survey

    Materials Today Proceedings · 2020

    Manwendra Kumar Tripathi, Randhir Kumar, Rakesh Tripathi

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  15. Computational inference in mathematical biology: Methodological developments and applications

    Queensland University of Technology · 2020

    David James Warne

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  16. Fairness von KI-Algorithmen

    Springer Reference Geisteswissenschaften · 2020

    M.‐Th. Hütt, Claudia Schubert

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  17. Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data

    IEEE Access · 2020

    Jesús Maillo, Isaac Triguero A, Francisco Herrera

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  18. Revisiting the Concept of Human Disease

    Human perspectives in health sciences and technology · 2020

    Mariano Bizzarri, Mirko Minini, Noemi Monti

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  19. The Pixelated Person – Humanity in the Grip of Algorithmic Personalisation

    Cambridge University Press eBooks · 2020

    Uta Kohl

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  20. Thermal field prediction for laser scanning paths in laser aided additive manufacturing by physics-based machine learning

    Computer Methods in Applied Mechanics and Engineering · 2020

    Kai Ren, Youxiang Chew, Yunfeng Zhang, Jerry Ying Hsi Fuh, Guijun Bi

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  21. Development of Supervised Learning Predictive Models for Highly Non-linear Biological, Biomedical, and General Datasets

    Frontiers in Molecular Biosciences · 2020

    David Medina-Ortiz, Sebastián Contreras, Cristofer Quiroz, Álvaro Olivera‐Nappa

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  22. Toward Data Sense-Making in Digital Health Communication Research: Why Theory Matters in the Age of Big Data

    Frontiers in Communication · 2020

    Edmund W. J. Lee, Andrew Z. H. Yee

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  23. From digital hype to analogue reality: Universal simulation beyond the quantum and exascale eras

    Journal of Computational Science · 2020

    Peter V. Coveney, Roger Highfield

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  24. Rediscovery of natural compounds acting via multitarget recognition and noncanonical pharmacodynamical actions

    Drug Discovery Today · 2020

    Mariano Bizzarri, Alessandro Giuliani, Noemi Monti, Roberto Verna, Andrea Pensotti, Alessandra Cucina

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  25. Monte Carlo science

    Journal of Turbulence · 2020

    Javier Jiménez

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  26. Pre-Drilling Production Forecasting of Parent and Child Wells Using a 2-Segment Decline Curve Analysis (DCA) Method Based on an Analytical Flow-Cell Model Scaled by a Single Type Well

    Energies · 2020

    Ruud Weijermars, Kiran Nandlal

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  27. Hidden theorizing in big data analytics: With a reference to tourism design research

    Annals of Tourism Research · 2020

    Josef A. Mazanec

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  28. Review: Energy efficiency evaluation of complex petrochemical industries

    Energy · 2020

    Yongming M Han, Hao Wu, Zhiqiang Geng, Qunxiong Zhu, Xiangbai Gu, Bin Yu

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  29. Integrating remote sensing and jurisdictional observation networks to improve the resolution of ecological management

    bioRxiv (Cold Spring Harbor Laboratory) · 2020

    Philip A. Townsend, John Clare, Nanfeng Liu, Jennifer L. Stenglein, Christine Anhalt‐Depies, Timothy R. Van Deelen, Neil A. Gilbert, ADITYA KUMAR SINGH, Karl J. Martin, Benjamin Zuckerberg

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  30. Machine Learning Requires Probability and Statistics [Perspectives]

    IEEE Signal Processing Magazine · 2020

    Ulisses Braga-Neto, Edward R. Dougherty

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  31. Beyond Screen Time: Identity Development in the Digital Age

    Psychological Inquiry · 2020

    Isabela Granic, Hiromitsu Morita, Hanneke Scholten

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  32. Incorporating Physical Knowledge Into Machine Learning for Planetary Space Physics

    Frontiers in Astronomy and Space Sciences · 2020

    Abigail Azari, Jeffrey W. Lockhart, M. W. Liemohn, Xianzhe Jia

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  33. Formidable females redux: male social integration into female networks and the value of dynamic multilayer networks

    Current Zoology · 2020

    Tyler R. Bonnell, Chloé Vilette, Christopher Young, Stephanus Peter Henzi, Louise Barrett

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  34. Application of Systems Engineering Principles and Techniques in Biological Big Data Analytics: A Review

    Processes · 2020

    Qiang He, Jin Wang

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  35. Microstructure-informed probability-driven point-particle model for hydrodynamic forces and torques in particle-laden flows

    Journal of Fluid Mechanics · 2020

    Arman Seyed-Ahmadi, Anthony Wachs

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  36. Computational medicine, present and the future: obstetrics and gynecology perspective

    American Journal of Obstetrics and Gynecology · 2020

    Radek Bukowski, Karl W. Schulz, Kelly Gaither, Keri Keilberg Stephens, Dave Semeraro, Justin A. Drake, Gordon C. S. Smith, Craig Cordola, Thaleia Zariphopoulou, Thomas J.R. Hughes, Christopher K. Zarins, Dimitri Kusnezov, Donna Howard, Tinsley Oden

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  37. Continuous-domain assignment flows

    European Journal of Applied Mathematics · 2020

    Fabrizio Savarino, Christoph Schnörr

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  38. A Study on The Limits and Potential of Machine Predictions from a Human-Big Data-Machine Interaction Perspective

    EAI International Conference on Smart Objects and Technologies for Social Good (GOODTECHS) · 2020

    Giovanni Delnevo

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  39. Structural dynamics simulation using a novel physics-guided machine learning method

    Engineering Applications of Artificial Intelligence · 2020

    Yang Yu, Houpu Yao, Yongming Liu

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  40. Machine learning for digital soil mapping: Applications, challenges and suggested solutions

    Earth-Science Reviews · 2020

    Alexandre M.J.‐C. Wadoux, Budiman Minasny, Alex B. McBratney

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  41. Computational biomedicine. Part 1: molecular medicine

    Interface Focus · 2020

    Peter V. Coveney

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  42. Rapid, accurate, precise and reproducible ligand–protein binding free energy prediction

    Interface Focus · 2020

    Shunzhou Wan, Agastya P. Bhati, Stefan J. Zasada, Peter V. Coveney

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  43. Methodological problems of big data and artificial intelligence in the medical specialists training

    Journal of Physics Conference Series · 2020

    O V Mikhailenko, Georgy Alekseevich Dorrer

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  44. Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology

    iScience · 2020

    Anum S. Kazerouni, Manasa Gadde, Andrea L. Gardner, David A. Hormuth, Angela M. Jarrett, Kaitlyn E. Johnson, Ernesto A. B. F. Lima, Guillermo Lorenzo, Caleb M. Phillips, Amy Brock, Thomas E. Yankeelov

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  45. Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data

    Neoplasia · 2020

    Angela M. Jarrett, David A. Hormuth, Chengyue Wu, Anum S. Kazerouni, David A. Ekrut, John M. Virostko, Anna G. Sorace, Julie C. DiCarlo, Jeanne Kowalski, Debra A. Patt, Boone Wilder Goodgame, Sarah Avery, Thomas E. Yankeelov

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  46. Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer

    Scientific Reports · 2020

    Angela M. Jarrett, David A. Hormuth, Vikram Adhikarla, Prativa Sahoo, Daniel Abler, Lusine Tumyan, Daniel D. Schmolze, Joanne E. Mortimer, Russell C. Rockne, Thomas E. Yankeelov

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  47. Hybrid Modeling: Towards the Next Level of Scientific Computing in Engineering

    Mathematics in industry · 2021

    Stefan Kurz

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  48. Rapid Bayesian Inference for Expensive Stochastic Models

    QUT ePrints (Queensland University of Technology) · 2021

    David James Warne, Ruth E. Baker, Matthew J. Simpson

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  49. Application of artificial intelligence in the dental field: A literature review

    Journal of Prosthodontic Research · 2021

    Takahiro Kishimoto, Takaharu Goto, Takashi Matsuda, Yuki Iwawaki, Tetsuo Ichikawa

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  50. Big Data

    Cambridge University Press eBooks · 2021

    Wolfgang Pietsch

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