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Yin Lou
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Journal Articles
- 2024
- [j4]Tianping Zhang
, Zhaoyang Wang
, Chen Qian
, Jian Li
, Yin Lou
:
FeatureLTE: Learning to Estimate Feature Importance. Proc. ACM Manag. Data 2(3): 139 (2024) - 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) - 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) - 2018
- [j1]Kostas Zoumpatianos
, Yin Lou, Ioana Ileana, Themis Palpanas, Johannes Gehrke:
Generating data series query workloads. VLDB J. 27(6): 823-846 (2018)
Conference and Workshop Papers
- 2024
- [c14]Chengyao Wen
, Yin Lou
:
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications. KDD 2024: 5959-5968 - 2022
- [c13]Jiabin Liu, Chengliang Chai, Yuyu Luo, Yin Lou, Jianhua Feng, Nan Tang:
Feature Augmentation with Reinforcement Learning. ICDE 2022: 3360-3372 - 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
, Shiwei Liang, Yang Dong:
Efficiently Training Intelligible Models for Global Explanations. CIKM 2020: 2637-2644 - 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
- [c9]Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou:
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation. AIES 2018: 303-310 - 2017
- [c8]Yin Lou, Mikhail Obukhov:
BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency. KDD 2017: 1893-1901 - 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 - 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
, Yin Lou, Johannes Gehrke:
ATLAS: a probabilistic algorithm for high dimensional similarity search. SIGMOD Conference 2011: 997-1008 - 2009
- [c1]Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei Wang, Yan Huang
:
Map-matching for low-sampling-rate GPS trajectories. GIS 2009: 352-361
Informal and Other Publications
- 2023
- [i4]Chengyao Wen, Yin Lou:
On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications. CoRR abs/2311.00964 (2023) - 2018
- [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
- [i2]Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou:
Detecting Bias in Black-Box Models Using Transparent Model Distillation. CoRR abs/1710.06169 (2017) - 2014
- [i1]Yin Lou, Jacob Bien, Rich Caruana, Johannes Gehrke:
Sparse Partially Linear Additive Models. CoRR abs/1407.4729 (2014)
Coauthor Index
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