Peter Flach
16 papers · 2004–2022 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
⚡
Prolific Year · Productive
🗃️
Keyword Collector
(66)
Top co-authors
Research topics
Keywords
roc curve
(3)
decision tree
(2)
subgroup discovery
(2)
explainable ai
(2)
binary classification
(2)
multi-class classification
(2)
explainable machine learning
(2)
classifier evaluation
(2)
probability calibration
(2)
rule learning
(2)
counterfactual explanation
(2)
bias detection
(1)
gaussian process
(1)
time series classification
(1)
item response theory
(1)
probability estimation
(1)
feature importance
(1)
model calibration
(1)
classification loss
(1)
regression analysis
(1)
Papers
LIMESegment: Meaningful, Realistic Time Series Explanations
AISTATS 2022
$β^3$-IRT: A New Item Response Model and its Applications
AISTATS 2019
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration
NeurIPS 2019
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals
AAAI 2019
Distribution calibration for regression
ICML 2019
Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward
AAAI 2019
Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements
IJCAI 2018
Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant
IJCAI 2018
The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI
IJCAI 2018
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers
AISTATS 2017
The Role of Textualisation and Argumentation in Understanding the Machine Learning Process
IJCAI 2017
ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home
IJCAI 2016
Precision-Recall-Gain Curves: PR Analysis Done Right
NeurIPS 2015
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss
JMLR 2012
Exploiting the High Predictive Power of Multi-class Subgroups
ACML 2010
Subgroup Discovery with CN2-SD
JMLR 2004