Search Results for author: Konstantinos Georgatzis

Found 6 papers, 1 papers with code

DYNOTEARS: Structure Learning from Time-Series Data

1 code implementation2 Feb 2020 Roxana Pamfil, Nisara Sriwattanaworachai, Shaan Desai, Philip Pilgerstorfer, Paul Beaumont, Konstantinos Georgatzis, Bryon Aragam

Compared to state-of-the-art methods for learning dynamic Bayesian networks, our method is both scalable and accurate on real data.

Time Series

Clusters in Explanation Space: Inferring disease subtypes from model explanations

no code implementations18 Dec 2019 Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis

The distribution of instances in the explanation space of our diagnostic classifier amplifies the different reasons for belonging to the same class - resulting in a representation that is uniquely useful for discovering latent subtypes.

EMAP: Explanation by Minimal Adversarial Perturbation

no code implementations2 Dec 2019 Matt Chapman-Rounds, Marc-Andre Schulz, Erik Pazos, Konstantinos Georgatzis

Modern instance-based model-agnostic explanation methods (LIME, SHAP, L2X) are of great use in data-heavy industries for model diagnostics, and for end-user explanations.

Auditing and Achieving Intersectional Fairness in Classification Problems

no code implementations4 Nov 2019 Giulio Morina, Viktoriia Oliinyk, Julian Waton, Ines Marusic, Konstantinos Georgatzis

Machine learning algorithms are extensively used to make increasingly more consequential decisions about people, so achieving optimal predictive performance can no longer be the only focus.

BIG-bench Machine Learning Classification +2

Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring

no code implementations31 Jul 2016 Konstantinos Georgatzis, Christopher K. I. Williams, Christopher Hawthorne

We present a non-linear dynamical system for modelling the effect of drug infusions on the vital signs of patients admitted in Intensive Care Units (ICUs).

Discriminative Switching Linear Dynamical Systems applied to Physiological Condition Monitoring

no code implementations24 Apr 2015 Konstantinos Georgatzis, Christopher K. I. Williams

We present a Discriminative Switching Linear Dynamical System (DSLDS) applied to patient monitoring in Intensive Care Units (ICUs).

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