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IEEE Data Engineering Bulletin, Volume 43
Volume 43, Number 1, March 2020
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - Philippe Bonnet:
Letter from the Special Issue Editor. 2-3
- Gerhard Weikum:
Entities with Quantities. 4-8
- Mario Lassnig, Martin Barisits, Dimitrios Christidis:
Experiences in Exascale Scientific Data Management. 9-22 - Jérome Soumagne, Philip H. Carns, Robert B. Ross:
Advancing RPC for Data Services at Exascale. 23-34 - Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky:
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. 35-46 - Noel Moreno Lemus, Fábio Porto, Yania Molina Souto, Rafael S. Pereira, Ji Liu, Esther Pacciti, Patrick Valduriez:
SUQ2: Uncertainty Quantification Queries over Large Spatio-temporal Simulations. 47-59 - Alberto Lerner, Rana Hussein, André Ryser, Sangjin Lee, Philippe Cudré-Mauroux:
Networking and Storage: The Next Computing Elements in Exascale Systems? 60-71
Volume 43, Number 2, June 2020
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - Joseph Gonzalez:
Letter from the Special Issue Editor. 2-3
- Divyakant Agrawal, Amr El Abbadi:
A Wake-up Call: Managing Data in an Untrusted World. 4-7 - Jeffrey D. Ullman:
The Battle for Data Science. 8-14
- Justin Chan, Landon P. Cox, Dean P. Foster, Shyam Gollakota, Eric Horvitz, Joseph Jaeger, Sham M. Kakade, Tadayoshi Kohno, John Langford, Jonathan Larson, Puneet Sharma, Sudheesh Singanamalla, Jacob E. Sunshine, Stefano Tessaro:
PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing. 15-35 - Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Marcel Salathé, James R. Larus, Wouter Lueks, Theresa Stadler, Apostolos Pyrgelis, Daniele Antonioli, Ludovic Barman, Sylvain Chatel, Kenneth G. Paterson, Srdjan Capkun, David A. Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel P. Smart, Aysajan Abidin, Seda Gurses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, José Pereira:
Decentralized Privacy-Preserving Proximity Tracing. 36-66 - Ramesh Raskar, Deepti Pahwa, Robson Beaudry:
Contact Tracing: Holistic Solution Beyond Bluetooth. 67-70 - Sydney von Arx, Isaiah Becker-Mayer, Daniel Blank, Jesse Colligan, Rhys Fenwick, Mike Hittle, Mark Ingle, Oliver Nash, Victoria Nguyen, James Petrie, Jeff Schwaber, Zsombor Szabo, Akhil Veeraghanta, Mikhail Voloshin, Tina White, Helen Xue:
Slowing the Spread of Infectious Diseases Using Crowdsourced Data. 71-82 - David E. Culler, Prabal Dutta, Gabe Fierro, Joseph E. Gonzalez, Nathan Pemberton, Johann Schleier-Smith, Kalyanaraman Shankari, Alvin Wan, Thomas Zachariah:
CoVista: A Unified View on Privacy Sensitive Mobile Contact Tracing. 83-94 - Ni Trieu, Kareem Shehata, Prateek Saxena, Reza Shokri, Dawn Song:
Epione: Lightweight Contact Tracing with Strong Privacy. 95-107 - Xiaoyuan Liu, Ni Trieu, Evgenios M. Kornaropoulos, Dawn Song:
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos. 108-120 - Yuyu Luo, Nan Tang, Guoliang Li, Wenbo Li, Tianyu Zhao, Xiang Yu:
DeepEye: A Data Science System for Monitoring and Exploring COVID-19 Data. 121-132 - Meredith M. Lee, Alicia D. Johnson, Katherine A. Yelick, Jennifer T. Chayes:
The Road for Recovery: Aligning COVID-19 efforts and building a more resilient future. 133-140
Volume 43, Number 3, September 2020
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - Lei Chen:
Letter from the Special Issue Editor. 2
- M. Tamer Özsu:
A Systematic View of Data Science. 3-11
- Atsuyuki Morishima, Masaki Matsubara, Kei Wakabayashi, Nobutaka Suzuki, Hiroyoshi Ito:
Computational Division of Labor with Human and AI Workers. 12-25 - Yongxin Tong, Yansheng Wang, Dingyuan Shi:
Federated Learning in the Lens of Crowdsourcing. 26-36 - Chengliang Chai, Guoliang Li:
Human-in-the-loop Techniques in Machine Learning. 37-52 - Sihem Amer-Yahia, Reynold Cheng, Mohamed Bouadi, Abdelouahab Chibah, Mohammadreza Esfandiari, Jiangping Zhou, Nan Zhang, Eric Lau, Yuguo Li, Xiaolin Han, Shivansh Mittal:
An ML-Powered Human Behavior Management System. 53-64 - Gianluca Demartini, Stefano Mizzaro, Damiano Spina:
Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities. 65-74
Volume 43, Number 4, December 2020
- Haixun Wang:
Letter from the Editor-in-Chief. 1 - James R. Foulds, Shimei Pan:
Letter from the Special Issue Editor. 2
- Safiya Umoja Noble, Sarah T. Roberts:
Transforming the Culture: Internet Research at the Crossroads. 3-10 - Jennifer Keating:
Responsible Design Through Interdisciplinary Collaboration: Contact Tracing Apps, Surveillance and the Prospect of Building User Trust. 11-22 - Lisa Singh, Agoritsa Polyzou, Yanchen Wang, Jason Farr, Carole Roan Gresenz:
Social Media Data - Our Ethical Conundrum. 23-38 - Sebastian Schelter, Julia Stoyanovich:
Taming Technical Bias in Machine Learning Pipelines. 39-50 - James R. Foulds, Shimei Pan:
Are Parity-Based Notions of AI Fairness Desirable? 51-73 - Jared Sylvester, Edward Raff:
Trimming the Thorns of AI Fairness Research. 74-84
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