Yin Lou

Orcid: 0009-0004-8329-7192

According to our database1, Yin Lou authored at least 21 papers between 2009 and 2024.

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Bibliography

2024
FeatureLTE: Learning to Estimate Feature Importance.
Proc. ACM Manag. Data, 2024

On Finding Bi-objective Pareto-optimal Fraud Prevention Rule Sets for Fintech Applications.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Fanglue: An Interactive System for Decision Rule Crafting.
Proc. VLDB Endow., 2023

2022
Feature Augmentation with Reinforcement Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Screening and Identification of Key Biomarkers in Melanoma: Evidence from Bioinformatic Analyses.
J. Comput. Biol., 2021

Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020
Efficiently Training Intelligible Models for Global Explanations.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Axiomatic Interpretability for Multiclass Additive Models.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Generating data series query workloads.
VLDB J., 2018

Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models.
CoRR, 2018

Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017
Detecting Bias in Black-Box Models Using Transparent Model Distillation.
CoRR, 2017

BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2015
Query Workloads for Data Series Indexes.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Sparse Partially Linear Additive Models.
CoRR, 2014

2013
Accurate intelligible models with pairwise interactions.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Intelligible models for classification and regression.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

MatchMiner: Efficient Spanning Structure Mining in Large Image Collections.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
ATLAS: a probabilistic algorithm for high dimensional similarity search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2009
Map-matching for low-sampling-rate GPS trajectories.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009


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