Konstantinos Georgatzis

According to our database, Konstantinos Georgatzis authored at least 9 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

FIMAP: Feature Importance by Minimal Adversarial Perturbation.

Matt Chapman-Rounds, Umang Bhatt, Erik Pazos, Marc-Andre Schulz, Konstantinos Georgatzis

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DYNOTEARS: Structure Learning from Time-Series Data.

Roxana Pamfil, Nisara Sriwattanaworachai, Shaan Desai, Philip Pilgerstorfer, Konstantinos Georgatzis, Paul Beaumont, Bryon Aragam

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Clusters in Explanation Space: Inferring disease subtypes from model explanations.

Marc-Andre Schulz, Matt Chapman-Rounds, Manisha Verma, Danilo Bzdok, Konstantinos Georgatzis

CoRR, 2019

EMAP: Explanation by Minimal Adversarial Perturbation.

Matt Chapman-Rounds, Marc-Andre Schulz, Erik Pazos, Konstantinos Georgatzis

CoRR, 2019

Auditing and Achieving Intersectional Fairness in Classification Problems.

Giulio Morina, Viktoriia Oliinyk, Julian Waton, Ines Marusic, Konstantinos Georgatzis

CoRR, 2019

2016

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

Konstantinos Georgatzis, Christopher K. I. Williams, Christopher Hawthorne

Proceedings of the 1st Machine Learning in Health Care, 2016

2015

Discriminative Switching Linear Dynamical Systems applied to Physiological Condition Monitoring.

Konstantinos Georgatzis, Christopher K. I. Williams

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

2012

Benchmarking link analysis ranking methods in assistive environments.

Konstantinos Georgatzis, Panagiotis Papapetrou

Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

Efficient optimization for data visualization as an information retrieval task.

Jaakko Peltonen, Konstantinos Georgatzis

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012