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Publication search results
found 245 matches
- 2024
- Erik Blasch, Frederica Darema, Alex Aved:
Dynamic Data Driven Applications Systems - 4th International Conference, DDDAS 2022, Cambridge, MA, USA, October 6-10, 2022, Proceedings. Lecture Notes in Computer Science 13984, Springer 2024, ISBN 978-3-031-52669-5 [contents] - 2023
- Stan Lipovetsky:
Computer Age Statistical Inference: Algorithms, Evidence, and Data Science, Student ed.Bradley Efron and Trevor Hastie, UK: Cambridge University Press, 2021, xix + 491 pp., $ 39.99 (pbk), ISBN 978-1-108-82341-8. Technometrics 65(4): 611-613 (2023) - 2022
- Joseph Isaacs:
Furthering Datalog in the pursuit of program analysis. University of Cambridge, UK, 2022 - Felipe González-Pizarro, Andrea Figueroa, Claudia López, Cecilia R. Aragon:
Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal. Comput. Support. Cooperative Work. 31(1): 33-77 (2022) - Anna Haensch:
Reviews: Data Feminism. By Catherine D'Ignazio and Lauren F. Klein, MIT Press, Cambridge, MA, 2020. 328 pp., ISBN 9780262044004. Am. Math. Mon. 129(5): 496-500 (2022) - Daniene Byrne:
Data Feminism - Catherine D'Ignazio and Lauren F. Klein (Cambridge, MA, USA: MIT Press, 2020, 314 pp.). IEEE Technol. Soc. Mag. 41(4): 16-18 (2022) - Mariano Felice, Shiva Taslimipoor, Øistein E. Andersen, Paula Buttery:
CEPOC: The Cambridge Exams Publishing Open Cloze dataset. LREC 2022: 4285-4290 - Boris P. Paal:
Artificial Intelligence as a Challenge for Data Protection Law: And Vice Versa. The Cambridge Handbook of Responsible Artificial Intelligence 2022: 290-308 - Sangchul Park, Yong Lim, Haksoo Ko:
Data Governance and Trust: Lessons from South Korean Experiences Coping with COVID-19. The Cambridge Handbook of Responsible Artificial Intelligence 2022: 309-328 - Ralf Poscher:
Artificial Intelligence and the Right to Data Protection. The Cambridge Handbook of Responsible Artificial Intelligence 2022: 281-289 - Felipe González-Pizarro, Andrea Figueroa, Claudia López, Cecilia R. Aragon:
Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal. CoRR abs/2202.07075 (2022) - 2021
- Ayat Fekry:
Optimizing data-intensive computing with efficient configuration tuning. University of Cambridge, UK, 2021 - Vladik Kreinovich:
Concha Bielza and Pedro Larrañaga, Data-Driven Computational Neuroscience: Machine Learning and Statistical Models, Cambridge University Press, Cambridge, UK, 2021. J. Intell. Fuzzy Syst. 41(1): 2513-2514 (2021) - Zheng Yuan, David Strohmaier:
Cambridge at SemEval-2021 Task 2: Neural WiC-Model with Data Augmentation and Exploration of Representation. SemEval@ACL/IJCNLP 2021: 730-737 - 2020
- John Bronskill:
Data and computation efficient meta-learning. University of Cambridge, UK, 2020 - Aliaksei Mikhailiuk:
Active sampling, scaling and dataset merging for large-scale image quality assessment. University of Cambridge, UK, 2020 - Margaret Hu:
Cambridge Analytica's black box. Big Data Soc. 7(2): 205395172093809 (2020) - 2019
- Marcus D. R. Klarqvist:
Efficient analysis and storage of large-scale genomic data. University of Cambridge, UK, 2019 - Alexander R. E. Taylor:
Future-proofing the digital world: data centre security and the threats of electromagnetic pulse and space weather. University of Cambridge, UK, 2019 - Hyunghoon Cho:
Biomedical data sharing and analysis at scale: privacy, compaction, and integration. Massachusetts Institute of Technology, Cambridge, USA, 2019 - Aloni Cohen:
New guarantees for cryptographic circuits and data anonymization. Massachusetts Institute of Technology, Cambridge, USA, 2019 - Ronnachai Jaroensri:
Learning to solve problems in computer vision with synthetic data. Massachusetts Institute of Technology, Cambridge, USA, 2019 - Xuhong Zhang:
Intelligible models for learning categorical data via generalized fourier spectrum. Massachusetts Institute of Technology, Cambridge, USA, 2019 - T. D. Wilson:
Review of: Loukissas, Yanni Alexander. All data are local. Thinking critically in a data-driven society.. Cambridge, MA: MIT Press, 2019. Inf. Res. 24(2) (2019) - 2018
- Ionel Gog:
Flexible and efficient computation in large data centres. University of Cambridge, UK, 2018 - Tobias Moncaster:
Optimising data centre operation by removing the transport bottleneck. University of Cambridge, UK, 2018 - Nikola Mrksic:
Data-driven language understanding for spoken dialogue systems. University of Cambridge, UK, 2018 - Maurice Yearwood:
Big data: a new alternative approach to sampling in the digital age. University of Cambridge, UK, 2018 - Vitaly Abdrashitov:
Coding approaches for maintaining data in unreliable network systems. Massachusetts Institute of Technology, Cambridge, USA, 2018 - Arturs Backurs:
Below P vs NP: fine-grained hardness for big data problems. Massachusetts Institute of Technology, Cambridge, USA, 2018
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