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Yin Lou
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2020 – today
- 2024
- [j4]Tianping Zhang
, Zhaoyang Wang
FeatureLTE: Learning to Estimate Feature Importance. Proc. ACM Manag. Data 2(3): 139 (2024) - [c14]Chengyao Wen
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications. KDD 2024: 5959-5968 - 2023
- [j3]Chen Qian, Shiwei Liang, Zhaoyang Wang, Yin Lou:
Fanglue: An Interactive System for Decision Rule Crafting. Proc. VLDB Endow. 16(12): 4062-4065 (2023) - [i4]Chengyao Wen, Yin Lou:
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications. CoRR abs/2311.00964 (2023) - 2022
- [c13]Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang:
Feature Augmentation with Reinforcement Learning. ICDE 2022: 3360-3372 - 2021
- [j2]Yijun Xia, Juan Xie, Jun Zhao, Yin Lou, Dongsheng Cao:
Screening and Identification of Key Biomarkers in Melanoma: Evidence from Bioinformatic Analyses. J. Comput. Biol. 28(3): 317-329 (2021) - [c12]Zhi Chen, Sarah Tan, Harsha Nori, Kori Inkpen, Yin Lou, Rich Caruana:
Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data. PKDD/ECML Workshops (1) 2021: 534-551 - 2020
- [c11]Yin Lou, Yongliang Wang
Efficiently Training Intelligible Models for Global Explanations. CIKM 2020: 2637-2644
2010 – 2019
- 2019
- [c10]Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana:
Axiomatic Interpretability for Multiclass Additive Models. KDD 2019: 226-234 - 2018
- [j1]Kostas Zoumpatianos
Generating data series query workloads. VLDB J. 27(6): 823-846 (2018) - [c9]Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou:
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation. AIES 2018: 303-310 - [i3]Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana:
Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models. CoRR abs/1810.09092 (2018) - 2017
- [c8]Yin Lou, Mikhail Obukhov:
BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency. KDD 2017: 1893-1901 - [i2]Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou:
Detecting Bias in Black-Box Models Using Transparent Model Distillation. CoRR abs/1710.06169 (2017) - 2015
- [c7]Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke:
Query Workloads for Data Series Indexes. KDD 2015: 1603-1612 - [c6]Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, Noemie Elhadad:
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission. KDD 2015: 1721-1730 - 2014
- [i1]Yin Lou, Jacob Bien, Rich Caruana, Johannes Gehrke:
Sparse Partially Linear Additive Models. CoRR abs/1407.4729 (2014) - 2013
- [c5]Yin Lou, Rich Caruana, Johannes Gehrke, Giles Hooker:
Accurate intelligible models with pairwise interactions. KDD 2013: 623-631 - 2012
- [c4]Yin Lou, Noah Snavely, Johannes Gehrke:
MatchMiner: Efficient Spanning Structure Mining in Large Image Collections. ECCV (2) 2012: 45-58 - [c3]Yin Lou, Rich Caruana, Johannes Gehrke:
Intelligible models for classification and regression. KDD 2012: 150-158 - 2011
- [c2]Jiaqi Zhai
ATLAS: a probabilistic algorithm for high dimensional similarity search. SIGMOD Conference 2011: 997-1008
2000 – 2009
Coauthor Index
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last updated on 2024-09-10 01:16 CEST by the dblp team
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