Daniel B. Neill
8 papers · 2013–2023 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Collector
(56)
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Renaissance Researcher
(5)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(5)
Artificial Intelligence
(4)
Core AI
(4)
Data Science & Analytics
(3)
Deep Learning
(3)
Application Areas
(3)
Architectures
(3)
Mathematics & Optimization
(2)
Methods
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Applications
(1)
Keywords
scan statistic
(2)
anomaly detection
(1)
spatio-temporal modeling
(1)
graph anomaly detection
(1)
graph analysis
(1)
bias detection
(1)
gaussian processes
(1)
disease surveillance
(1)
gaussian process
(1)
network analysis
(1)
time series
(1)
hypothesis testing
(1)
subgraph detection
(1)
causal inference
(1)
generative model
(1)
autoregressive model
(1)
spatio-temporal analysis
(1)
spatial data
(1)
loss function
(1)
change point detection
(1)
Papers
Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data
AAAI 2023
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
JMLR 2023
Positional Encoder Graph Neural Networks for Geographic Data
AISTATS 2023
Provable Detection of Propagating Sampling Bias in Prediction Models
AAAI 2023
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs
AAAI 2022
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
AAAI 2022
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction
JMLR 2019
Fast Generalized Subset Scan for Anomalous Pattern Detection
JMLR 2013