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ORCIDZainab Zolaktaf
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2020 – today
- 2023
[c8]Eugenie Yujing Lai, Zainab Zolaktaf, Mostafa Milani, Omar AlOmeir
, Jianhao Cao, Rachel Pottinger:
Workload-Aware Query Recommendation Using Deep Learning. EDBT 2023: 53-65- 2020
- [c7]Zainab Zolaktaf, Mostafa Milani, Rachel Pottinger:
Facilitating SQL Query Composition and Analysis. SIGMOD Conference 2020: 209-224 - [i2]Zainab Zolaktaf, Mostafa Milani, Rachel Pottinger:
Facilitating SQL Query Composition and Analysis. CoRR abs/2002.09091 (2020)
2010 – 2019
- 2019
- [c6]Jianjun Liu, Zainab Zolaktaf, Rachel Pottinger, Mostafa Milani:
Improvement of SQL Recommendation on Scientific Database. SSDBM 2019: 206-209 - 2018
- [c5]Zainab Zolaktaf, Reza Babanezhad, Rachel Pottinger:
A Generic Top-N Recommendation Framework for Trading-Off Accuracy, Novelty, and Coverage. ICDE 2018: 149-160 - [c4]Zainab Zolaktaf, Omar AlOmeir, Rachel Pottinger:
Bridging the Gap Between User-centric and Offline Evaluation of Personalized Recommendation Systems. UMAP (Adjunct Publication) 2018: 183-186 - [i1]Zainab Zolaktaf, Reza Babanezhad, Rachel Pottinger:
A Generic Top-N Recommendation Framework For Trading-off Accuracy, Novelty, and Coverage. CoRR abs/1803.00146 (2018) - 2017
- [c3]Zainab Zolaktaf:
Facilitating User Interaction With Data. PhD@VLDB 2017 - 2015
- [c2]Zainab Zolaktaf, Jian Xu, Rachel Pottinger:
Extracting Aggregate Answer Statistics for Integration. EDBT 2015: 85-96 - 2012
- [c1]Fatemeh Riahi, Zainab Zolaktaf, M. Mahdi Shafiei, Evangelos E. Milios:
Finding expert users in community question answering. WWW (Companion Volume) 2012: 791-798
Coauthor Index
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