Panagiotis Papapetrou

Panagiotis Papapetrou

Stockholms universitet

H-index: 25

Europe-Sweden

About Panagiotis Papapetrou

Panagiotis Papapetrou, With an exceptional h-index of 25 and a recent h-index of 18 (since 2020), a distinguished researcher at Stockholms universitet, specializes in the field of temporal data mining, explainable machine learning, healthcare applications.

His recent articles reflect a diverse array of research interests and contributions to the field:

Artificial intelligence in digital twins—A systematic literature review

Ijuice: integer JUstIfied counterfactual explanations

Glacier: guided locally constrained counterfactual explanations for time series classification

Z-Time: efficient and effective interpretable multivariate time series classification

Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients

Deep learning to diagnose left ventricular hypertrophy from standard, 12-lead ECG signals: a proof-of-concept study

Counterfactual Explanations for Time Series Forecasting

Machine learning models for automated interpretation of 12-lead electrocardiographic signals: a narrative review of techniques, challenges, achievements and clinical relevance

Panagiotis Papapetrou Information

University

Position

Professor Sweden

Citations(all)

2512

Citations(since 2020)

1491

Cited By

1513

hIndex(all)

25

hIndex(since 2020)

18

i10Index(all)

52

i10Index(since 2020)

35

Email

University Profile Page

Stockholms universitet

Google Scholar

View Google Scholar Profile

Panagiotis Papapetrou Skills & Research Interests

temporal data mining

explainable machine learning

healthcare applications

Top articles of Panagiotis Papapetrou

Title

Journal

Author(s)

Publication Date

Artificial intelligence in digital twins—A systematic literature review

Tim Kreuzer

Panagiotis Papapetrou

Jelena Zdravkovic

2024/4/3

Ijuice: integer JUstIfied counterfactual explanations

Machine Learning

Alejandro Kuratomi

Ioanna Miliou

Zed Lee

Tony Lindgren

Panagiotis Papapetrou

2024/3/26

Glacier: guided locally constrained counterfactual explanations for time series classification

Machine Learning

Zhendong Wang

Isak Samsten

Ioanna Miliou

Rami Mochaourab

Panagiotis Papapetrou

2024/3/13

Z-Time: efficient and effective interpretable multivariate time series classification

Zed Lee

Tony Lindgren

Panagiotis Papapetrou

2024/1

Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients

Artificial Intelligence in Medicine

Zhendong Wang

Isak Samsten

Vasiliki Kougia

Panagiotis Papapetrou

2023/1/1

Deep learning to diagnose left ventricular hypertrophy from standard, 12-lead ECG signals: a proof-of-concept study

Europace

P Pantelidis

E Oikonomou

N Souvaliotis

M Spartalis

S Lampsas

...

2023/6

Counterfactual Explanations for Time Series Forecasting

Zhendong Wang

Ioanna Miliou

Isak Samsten

Panagiotis Papapetrou

2023/12/1

Machine learning models for automated interpretation of 12-lead electrocardiographic signals: a narrative review of techniques, challenges, achievements and clinical relevance

Panteleimon Pantelidis

Maria Bampa

Evangelos Oikonomou

Panagiotis Papapetrou

2023/5/30

ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces

Alejandro Kuratomi

Zed Lee

Ioanna Miliou

Tony Lindgren

Panagiotis Papapetrou

2023/10/9

Enterprise Modeling for Machine Learning: Case-Based Analysis and Initial Framework Proposal

Dominik Bork

Panagiotis Papapetrou

Jelena Zdravkovic

2023/5/23

An End-to-End Workflow using Topic Segmentation and Text Summarisation Methods for Improved Podcast Comprehension

arXiv preprint arXiv:2307.13394

Andrew Aquilina

Sean Diacono

Panagiotis Papapetrou

Maria Movin

2023/7/25

Explaining black box reinforcement learning agents through counterfactual policies

Maria Movin

Guilherme Dinis Junior

Jaakko Hollmén

Panagiotis Papapetrou

2023/4/1

Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information

arXiv preprint arXiv:2306.10994

Van Long Ho

Nguyen Ho

Torben Bach Pedersen

Panagiotis Papapetrou

2023/6/19

Personalized feature importance ranking for affect recognition from behavioral and physiological data

IEEE Transactions on Games

Luis Quintero

Uno Fors

Panagiotis Papapetrou

2023/3/29

Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation

Diego García

Daniel Pérez

Panagiotis Papapetrou

Ignacio Díaz

Abel A Cuadrado

...

2023/6/2

Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors

Stefany Guarnizo

Ioanna Miliou

Panagiotis Papapetrou

2022/4/7

Finding Local Groupings of Time Series

Zed Lee

Marco Trincavelli

Panagiotis Papapetrou

2022/9/19

Inside the “brain” of an artificial neural network: an interpretable deep learning approach to paroxysmal atrial fibrillation diagnosis from electrocardiogram signals during …

European Heart Journal-Digital Health

P Pantelidis

E Oikonomou

S Lampsas

N Souvaliotis

M Spartalis

...

2022/12/22

Random subspace and random projection nearest neighbor ensembles for high dimensional data

Expert systems with applications

Sampath Deegalla

Keerthi Walgama

Panagiotis Papapetrou

Henrik Boström

2022/4/1

Flicu: A federated learning workflow for intensive care unit mortality prediction

Lena Mondrejevski

Ioanna Miliou

Annaclaudia Montanino

David Pitts

Jaakko Hollmén

...

2022/7/21

See List of Professors in Panagiotis Papapetrou University(Stockholms universitet)

Co-Authors

H-index: 82
Stan Sclaroff

Stan Sclaroff

Boston University

H-index: 78
Dimitrios Gunopulos

Dimitrios Gunopulos

National and Kapodistrian University of Athens

H-index: 67
Aristides Gionis

Aristides Gionis

Kungliga Tekniska högskolan

H-index: 47
George Kollios

George Kollios

Boston University

H-index: 36
Jaakko Hollmén

Jaakko Hollmén

Aalto-yliopisto

H-index: 29
Henrik Boström

Henrik Boström

Kungliga Tekniska högskolan

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