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ORCIDPoly/DMAH@VLDB 2020: Virtual Event
- Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang
, Gang Luo, Jun Kong, Alevtina Dubovitskaya:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Virtual Event, August 31 and September 4, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12633, Springer 2021, ISBN 978-3-030-71054-5
Poly 2020: Privacy, Security and/or Policy Issues for Heterogenous Data
- Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia:
A Polystore Based Database Operating System (DBOS). 3-24 - Marco Vogt, Nils Hansen, Jan Schönholz, David Lengweiler, Isabel Geissmann, Sebastian Philipp, Alexander Stiemer, Heiko Schuldt:
Polypheny-DB: Towards Bridging the Gap Between Polystores and HTAP Systems. 25-36 - Takahiro Hara:
Persona Model Transfer for User Activity Prediction Across Heterogeneous Domains. 37-41 - Alexander Stiemer, Marco Vogt, Heiko Schuldt, Uta Störl:
PolyMigrate: Dynamic Schema Evolution and Data Migration in a Distributed Polystore. 42-53 - Athanasios Zolotas, Konstantinos Barmpis, Fady Medhat, Patrick Neubauer, Dimitrios S. Kolovos, Richard F. Paige:
An Architecture for the Development of Distributed Analytics Based on Polystore Events. 54-65 - El Kindi Rezig, Allan Vanterpool, Vijay Gadepally, Benjamin Price, Michael J. Cafarella, Michael Stonebraker:
Towards Data Discovery by Example. 66-71 - Edmon Begoli, Sudarshan Srinivasan, Maria Mahbub:
The Transformers for Polystores - The Next Frontier for Polystore Research. 72-77
DMAH 2020: COVID-19 Data Analytics and Visualization
- Hyunseung Hwang, Steven Euijong Whang:
Open-World COVID-19 Data Visualization [Extended Abstract]. 81-84
DMAH 2020: Deep Learning based Biomedical Data Analytics
- Hong-Jun Yoon, Hilda B. Klasky, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer A. Doherty, Linda Coyle, Lynne Penberthy, Christopher B. Stanley, James Blair Christian, Georgia D. Tourassi:
Privacy-Preserving Knowledge Transfer with Bootstrap Aggregation of Teacher Ensembles. 87-99 - Yao Tong, Hang Yan, Xin Li, Gang Chen, Zhenxiang Zhang:
An Intelligent and Efficient Rehabilitation Status Evaluation Method: A Case Study on Stroke Patients. 100-119 - Mehmet A. Gulum, Christopher M. Trombley, Mehmed M. Kantardzic:
Multiple Interpretations Improve Deep Learning Transparency for Prostate Lesion Detection. 120-137
DMAH 2020: NLP Based Learning from Unstructured Data
- Xiaoyi Zhang, Rodoniki Athanasiadou, Narges Razavian:
Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study. 141-150 - Qifei Dong, Yue Wang:
Enhancing Medical Word Sense Inventories Using Word Sense Induction: A Preliminary Study. 151-167
DMAH 2020: Biomedical Data Modelling and Prediction
- Tomer Sagi, Nitzan Shmueli, Bruce Friedman, Ruth Bergman:
Teaching Analytics Medical-Data Common Sense. 171-187 - Pedro Alves, Manuel J. Fonseca, João D. Pereira, Helena Galhardas:
CDRGen: A Clinical Data Registry Generator (Formal and/or Technical Paper). 188-204 - Mariella Bonomo, Armando La Placa, Simona E. Rombo:
Prediction of lncRNA-Disease Associations from Tripartite Graphs. 205-210
DMAH 2020: Invited Paper
- Weipeng Zhou, Gang Luo:
Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection. 213-227
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