Panagiotis Papapetrou

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 97

Top Venues

CoRR

CBMS

Data Min. Knowl. Discov.

PETRA

Publications

Lena Mondrejevski, Franco Rugolon, Ioanna Miliou, Panagiotis Papapetrou
MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU. CBMS (2024)
Zhendong Wang, Isak Samsten, Ioanna Miliou, Panagiotis Papapetrou
COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting. CBMS (2024)
Zed Lee, Tony Lindgren, Panagiotis Papapetrou
Z-Time: efficient and effective interpretable multivariate time series classification. Data Min. Knowl. Discov. 38 (1) (2024)
Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou
Ijuice: integer JUstIfied counterfactual explanations. Mach. Learn. 113 (8) (2024)
Maria Bampa, Ioanna Miliou, Braslav Jovanovic, Panagiotis Papapetrou
M-ClustEHR: A multimodal clustering approach for electronic health records. Artif. Intell. Medicine 154 (2024)
Zed Lee, Álfheidur Ástvaldsdóttir, Hans Sandberg, Panagiotis Papapetrou, Uno Fors
Interpretable Caries Development Prediction with Event Intervals. CBMS (2024)
Zhendong Wang, Isak Samsten, Ioanna Miliou, Rami Mochaourab, Panagiotis Papapetrou
Glacier: guided locally constrained counterfactual explanations for time series classification. Mach. Learn. 113 (7) (2024)
Tim Kreuzer, Panagiotis Papapetrou, Jelena Zdravkovic
Artificial intelligence in digital twins - A systematic literature review. Data Knowl. Eng. 151 (2024)
Van Long Ho, Nguyen Ho, Torben Bach Pedersen, Panagiotis Papapetrou
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information. CoRR (2023)
Zhendong Wang, Isak Samsten, Vasiliki Kougia, Panagiotis Papapetrou
Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients. Artif. Intell. Medicine 135 (2023)
Maria Movin, Guilherme Dinis Junior, Jaakko Hollmén, Panagiotis Papapetrou
Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. IDA (2023)
Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou
Counterfactual Explanations for Time Series Forecasting. CoRR (2023)
Andrew Aquilina, Sean Diacono, Panagiotis Papapetrou, Maria Movin
An End-to-End Workflow using Topic Segmentation and Text Summarisation Methods for Improved Podcast Comprehension. CoRR (2023)
Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou
Counterfactual Explanations for Time Series Forecasting. ICDM (2023)
Dominik Bork, Panagiotis Papapetrou, Jelena Zdravkovic
Enterprise Modeling for Machine Learning: Case-Based Analysis and Initial Framework Proposal. RCIS (2023)
Diego García, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz Blanco, Abel A. Cuadrado, José Maria Enguita, Ana González-Muñiz, Manuel Domínguez
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation. AIAI Workshops (2023)
Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou
ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. DSAA (2023)
Rami Mochaourab, Arun Venkitaraman, Isak Samsten, Panagiotis Papapetrou, Cristian R. Rojas
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective. IEEE Signal Process. Mag. 39 (4) (2022)
Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CoRR (2022)
Franco Rugolon, Maria Bampa, Panagiotis Papapetrou
A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients. PKDD/ECML Workshops (2) (2022)
Zed Lee, Marco Trincavelli, Panagiotis Papapetrou
Finding Local Groupings of Time Series. ECML/PKDD (6) (2022)
Maria Bampa, Tobias Fasth, Sindri Magnusson, Panagiotis Papapetrou
EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning. AIME (2022)
Rami Mochaourab, Sugandh Sinha, Stanley Greenstein, Panagiotis Papapetrou
Demonstrator on Counterfactual Explanations for Differentially Private Support Vector Machines. ECML/PKDD (6) (2022)
Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CBMS (2022)
Sampath Deegalla, Keerthi Walgama, Panagiotis Papapetrou, Henrik Boström
Random subspace and random projection nearest neighbor ensembles for high dimensional data. Expert Syst. Appl. 191 (2022)
Amin Azari, Fateme Salehi, Panagiotis Papapetrou, Cicek Cavdar
Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks. IEEE Trans. Green Commun. Netw. 6 (2) (2022)
Stefany Guarnizo, Ioanna Miliou, Panagiotis Papapetrou
Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors. IDA (2022)
Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou
JUICE: JUstIfied Counterfactual Explanations. DS (2022)
Luis Quintero, Panagiotis Papapetrou, John E. Muñoz, Jeroen De Mooij, Michael Gaebler
Excite-O-Meter: an Open-Source Unity Plugin to Analyze Heart Activity and Movement Trajectories in Custom VR Environments. VR Workshops (2022)
Alejandro Kuratomi, Evaggelia Pitoura, Panagiotis Papapetrou, Tony Lindgren, Panayiotis Tsaparas
Measuring the Burden of (Un)fairness Using Counterfactuals. PKDD/ECML Workshops (1) (2022)
Amin Azari, Fateme Salehi, Panagiotis Papapetrou, Cicek Cavdar
Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks. CoRR (2021)
Jimmy Ljungman, Vanessa Lislevand, John Pavlopoulos, Alexandra Farazouli, Zed Lee, Panagiotis Papapetrou, Uno Fors
Automated Grading of Exam Responses: An Extensive Classification Benchmark. DS (2021)
Vasiliki Kougia, John Pavlopoulos, Panagiotis Papapetrou, Max Gordon
RTEX: A novel framework for ranking, tagging, and explanatory diagnostic captioning of radiography exams. J. Am. Medical Informatics Assoc. 28 (8) (2021)
Zhendong Wang, Isak Samsten, Panagiotis Papapetrou
Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients. AIME (2021)
Jonathan Rebane, Isak Samsten, Panteleimon Pantelidis, Panagiotis Papapetrou
Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event Predictions. CBMS (2021)
John Pavlopoulos, Panagiotis Papapetrou
Customized Neural Predictive Medical Text: A Use-Case on Caregivers. AIME (2021)
Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar
Automatic and Intelligent Recommendations to Support Students' Self-Regulation. ICALT (2021)
Luis Quintero, Panagiotis Papapetrou, Jaakko Hollmén, Uno Fors
Effective Classification of Head Motion Trajectories in Virtual Reality Using Time-Series Methods. AIVR (2021)
Zhendong Wang, Isak Samsten, Rami Mochaourab, Panagiotis Papapetrou
Learning Time Series Counterfactuals via Latent Space Representations. DS (2021)
Rami Mochaourab, Sugandh Sinha, Stanley Greenstein, Panagiotis Papapetrou
Robust Explanations for Private Support Vector Machines. CoRR (2021)
Ioanna Miliou, John Pavlopoulos, Panagiotis Papapetrou
Sentiment Nowcasting During the COVID-19 Pandemic. DS (2021)
Zed Lee, Nicholas Anton, Panagiotis Papapetrou, Tony Lindgren
Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots. IDA (2021)
Myra Spiliopoulou, Panagiotis Papapetrou
Guest editorial: Special issue on mining for health. Data Min. Knowl. Discov. 35 (4) (2021)
Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar
Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning. AIED (2) (2021)
Jonathan Rebane, Isak Karlsson, Leon Bornemann, Panagiotis Papapetrou
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification. Data Min. Knowl. Discov. 35 (1) (2021)
Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar
Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation. Frontiers Artif. Intell. 4 (2021)
Zed Lee, Tony Lindgren, Panagiotis Papapetrou
Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals. KDD (2020)
Zed Lee, Jonathan Rebane, Panagiotis Papapetrou
Mining Disproportional Frequent Arrangements of Event Intervals for Investigating Adverse Drug Events. CBMS (2020)
Jonathan Rebane, Isak Samsten, Panagiotis Papapetrou
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction. Artif. Intell. Medicine 109 (2020)
John Pavlopoulos, Panagiotis Papapetrou
Clinical Predictive Keyboard using Statistical and Neural Language Modeling. CBMS (2020)
Alejandro Kuratomi, Tony Lindgren, Panagiotis Papapetrou
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees. ECML/PKDD (4) (2020)
Vasiliki Kougia, John Pavlopoulos, Panagiotis Papapetrou, Max Gordon
RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams. CoRR (2020)
Zed Lee, Sarunas Girdzijauskas, Panagiotis Papapetrou
Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification. ECML/PKDD (1) (2020)
Nesaretnam Barr Kumarakulasinghe, Tobias Blomberg, Jintai Liu, Alexandra Saraiva Leao, Panagiotis Papapetrou
Evaluating Local Interpretable Model-Agnostic Explanations on Clinical Machine Learning Classification Models. CBMS (2020)
John Pavlopoulos, Panagiotis Papapetrou
Clinical Predictive Keyboard using Statistical and Neural Language Modeling. CoRR (2020)
Maria Bampa, Panagiotis Papapetrou, Jaakko Hollmén
A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events. CBMS (2020)
Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis
Locally and globally explainable time series tweaking. Knowl. Inf. Syst. 62 (5) (2020)
Jing Zhao, Panagiotis Papapetrou, Lars Asker, Henrik Boström
Corrigendum to 'Learning from heterogeneous temporal data in electronic health records'. [J. Biomed. Inform. 65 (2017) 105-119]. J. Biomed. Informatics 101 (2020)
Francesco Bagattini, Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou
A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches. GLOBECOM (2019)
Luis Quintero, Panagiotis Papapetrou, John E. Muñoz, Uno Fors
Implementation of Mobile-Based Real-Time Heart Rate Variability Detection for Personalized Healthcare. ICDM Workshops (2019)
Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches. CoRR (2019)
Corinne G. Allaart, Lena Mondrejevski, Panagiotis Papapetrou
FISUL: A Framework for Detecting Adverse Drug Events from Heterogeneous Medical Sources Using Feature Importance. AIAI (2019)
Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA. CoRR (2019)
Luis Quintero, Panagiotis Papapetrou, John E. Muñoz
Open-Source Physiological Computing Framework using Heart Rate Variability in Mobile Virtual Reality Applications. AIVR (2019)
Jaakko Hollmén, Panagiotis Papapetrou
Clustering Diagnostic Profiles of Patients. AIAI (2019)
Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters
Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA. DS (2019)
Maria Bampa, Panagiotis Papapetrou
Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows. ICDM Workshops (2019)
Tony Lindgren, Panagiotis Papapetrou, Isak Samsten, Lars Asker
Example-Based Feature Tweaking Using Random Forests. IRI (2019)
Maria Bampa, Panagiotis Papapetrou
Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records. CoRR (2019)
Jonathan Rebane, Isak Karlsson, Panagiotis Papapetrou
An Investigation of Interpretable Deep Learning for Adverse Drug Event Prediction. CBMS (2019)
Myra Spiliopoulou, Panagiotis Papapetrou
Mining and Model Understanding on Medical Data. KDD (2019)
Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis
Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations. ICDM (2018)
Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis
Explainable time series tweaking via irreversible and reversible temporal transformations. CoRR (2018)
Tommy Hielscher, Henry Völzke, Panagiotis Papapetrou, Myra Spiliopoulou
Discovering, selecting and exploiting feature sequence records of study participants for the classification of epidemiological data on hepatic steatosis. SAC (2018)
Jaakko Hollmén, Lars Asker, Isak Karlsson, Panagiotis Papapetrou, Henrik Boström, Birgitta Norstedt Wikner, Inger Öhman
Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature. PETRA (2018)
Irvin Homem, Panagiotis Papapetrou, Spyridon Dosis
Information-Entropy-Based DNS Tunnel Prediction. IFIP Int. Conf. Digital Forensics (2018)
Loes Crielaard, Panagiotis Papapetrou
Explainable Predictions of Adverse Drug Events from Electronic Health Records Via Oracle Coaching. ICDM Workshops (2018)
Orestis Kostakis, Panagiotis Papapetrou
ABIDE: Querying Time-Evolving Sequences of Temporal Intervals. IDA (2017)
Isak Karlsson, Panagiotis Papapetrou, Lars Asker
KAPMiner: Mining Ordered Association Rules with Constraints. IDA (2017)
Jing Zhao, Panagiotis Papapetrou, Lars Asker, Henrik Boström
Learning from heterogeneous temporal data in electronic health records. J. Biomed. Informatics 65 (2017)
Hend Kareem, Lars Asker, Panagiotis Papapetrou
Detecting Hierarchical Ties Using Link-Analysis Ranking at Different Levels of Time Granularity. CoRR (2017)
Isak Karlsson, Panagiotis Papapetrou, Lars Asker, Henrik Boström, Hans E. Persson
Mining disproportional itemsets for characterizing groups of heart failure patients from administrative health records. PETRA (2017)
Irvin Homem, Panagiotis Papapetrou, Spyridon Dosis
Entropy-based Prediction of Network Protocols in the Forensic Analysis of DNS Tunnels. CoRR (2017)
Henrik Boström, Lars Asker, Ram B. Gurung, Isak Karlsson, Tony Lindgren, Panagiotis Papapetrou
Conformal Prediction Using Random Survival Forests. ICMLA (2017)
Orestis Kostakis, Panagiotis Papapetrou
On searching and indexing sequences of temporal intervals. Data Min. Knowl. Discov. 31 (3) (2017)
Myrsini Glinos, Svante Dahlberg, Nikolaos Tselas, Panagiotis Papapetrou
FindMyDoc: a P2P platform disrupting traditional healthcare models and matching patients to doctors. PETRA (2016)
Isak Karlsson, Panagiotis Papapetrou, Henrik Boström
Generalized random shapelet forests. Data Min. Knowl. Discov. 30 (5) (2016)
Mohammad Tareq Jaber, Peter T. Wood, Panagiotis Papapetrou, Ana González-Marcos
A Multi-Granularity Pattern-Based Sequence Classification Framework for Educational Data. DSAA (2016)
Lars Asker, Henrik Boström, Panagiotis Papapetrou, Hans E. Persson
Identifying Factors for the Effectiveness of Treatment of Heart Failure: A Registry Study. CBMS (2016)
Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki
Semigeometric Tiling of Event Sequences. ECML/PKDD (1) (2016)
Jefrey Lijffijt, Terttu Nevalainen, Tanja Säily, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila
Significance testing of word frequencies in corpora. Digit. Scholarsh. Humanit. 31 (2) (2016)
Isak Karlsson, Panagiotis Papapetrou, Henrik Boström
Early Random Shapelet Forest. DS (2016)
Alexios Kotsifakos, Vassilis Athitsos, Panagiotis Papapetrou
Query-sensitive distance measure selection for time series nearest neighbor classification. Intell. Data Anal. 20 (1) (2016)
Lars Asker, Panagiotis Papapetrou, Henrik Boström
Learning from Swedish Healthcare Data. PETRA (2016)
Andreas Henelius, Kai Puolamäki, Henrik Boström, Panagiotis Papapetrou
Clustering with Confidence: Finding Clusters with Statistical Guarantees. CoRR (2016)
Leon Bornemann, Jason Lecerf, Panagiotis Papapetrou
STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals. DS (2016)
Andreas Henelius, Kai Puolamäki, Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström, Panagiotis Papapetrou
GoldenEye++: A Closer Look into the Black Box. SLDS (2015)
Isak Karlsson, Panagiotis Papapetrou, Henrik Boström
Forests of Randomized Shapelet Trees. SLDS (2015)
Orestis Kostakis, Panagiotis Papapetrou
Finding the longest common sub-pattern in sequences of temporal intervals. Data Min. Knowl. Discov. 29 (5) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Panagiotis Papapetrou