Panagiotis Papapetrou
Orcid: 0000-0002-4632-4815
According to our database1,
Panagiotis Papapetrou
authored at least 127 papers
between 2005 and 2024.
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Bibliography
2024
Z-Time: efficient and effective interpretable multivariate time series classification.
Data Min. Knowl. Discov., January, 2024
2023
Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients.
Artif. Intell. Medicine, January, 2023
An End-to-End Workflow using Topic Segmentation and Text Summarisation Methods for Improved Podcast Comprehension.
CoRR, 2023
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information.
CoRR, 2023
Enterprise Modeling for Machine Learning: Case-Based Analysis and Initial Framework Proposal.
Proceedings of the Research Challenges in Information Science: Information Science and the Connected World, 2023
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
2022
Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks.
IEEE Trans. Green Commun. Netw., 2022
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective.
IEEE Signal Process. Mag., 2022
Random subspace and random projection nearest neighbor ensembles for high dimensional data.
Expert Syst. Appl., 2022
Excite-O-Meter: an Open-Source Unity Plugin to Analyze Heart Activity and Movement Trajectories in Custom VR Environments.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Demonstrator on Counterfactual Explanations for Differentially Private Support Vector Machines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning.
Proceedings of the Artificial Intelligence in Medicine, 2022
2021
RTEX: A novel framework for ranking, tagging, and explanatory diagnostic captioning of radiography exams.
J. Am. Medical Informatics Assoc., 2021
Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation.
Frontiers Artif. Intell., 2021
SMILE: a feature-based temporal abstraction framework for event-interval sequence classification.
Data Min. Knowl. Discov., 2021
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021
Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event Predictions.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Effective Classification of Head Motion Trajectories in Virtual Reality Using Time-Series Methods.
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2020
Corrigendum to 'Learning from heterogeneous temporal data in electronic health records'. [J. Biomed. Inform. 65 (2017) 105-119].
J. Biomed. Informatics, 2020
RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams.
CoRR, 2020
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction.
Artif. Intell. Medicine, 2020
Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Mining Disproportional Frequent Arrangements of Event Intervals for Investigating Adverse Drug Events.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Evaluating Local Interpretable Model-Agnostic Explanations on Clinical Machine Learning Classification Models.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
2019
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., 2019
Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records.
CoRR, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
FISUL: A Framework for Detecting Adverse Drug Events from Heterogeneous Medical Sources Using Feature Importance.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
Implementation of Mobile-Based Real-Time Heart Rate Variability Detection for Personalized Healthcare.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA.
Proceedings of the Discovery Science - 22nd International Conference, 2019
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Open-Source Physiological Computing Framework using Heart Rate Variability in Mobile Virtual Reality Applications.
Proceedings of the 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2019
2018
Discovering, selecting and exploiting feature sequence records of study participants for the classification of epidemiological data on hepatic steatosis.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature.
Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018
Proceedings of the Advances in Digital Forensics XIV, 2018
Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations.
Proceedings of the IEEE International Conference on Data Mining, 2018
Explainable Predictions of Adverse Drug Events from Electronic Health Records Via Oracle Coaching.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2017
J. Biomed. Informatics, 2017
Data Min. Knowl. Discov., 2017
Entropy-based Prediction of Network Protocols in the Forensic Analysis of DNS Tunnels.
CoRR, 2017
Detecting Hierarchical Ties Using Link-Analysis Ranking at Different Levels of Time Granularity.
CoRR, 2017
Mining disproportional itemsets for characterizing groups of heart failure patients from administrative health records.
Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
2016
Digit. Scholarsh. Humanit., 2016
Query-sensitive distance measure selection for time series nearest neighbor classification.
Intell. Data Anal., 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
FindMyDoc: a P2P platform disrupting traditional healthcare models and matching patients to doctors.
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016
Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016
A Multi-Granularity Pattern-Based Sequence Classification Framework for Educational Data.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Proceedings of the Discovery Science - 19th International Conference, 2016
STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals.
Proceedings of the Discovery Science - 19th International Conference, 2016
Identifying Factors for the Effectiveness of Treatment of Heart Failure: A Registry Study.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
2015
Embedding-based subsequence matching with gaps-range-tolerances: a Query-By-Humming application.
VLDB J., 2015
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences.
Data Min. Knowl. Discov., 2015
Data Min. Knowl. Discov., 2015
Data Min. Knowl. Discov., 2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015
Optimizing Hashing Functions for Similarity Indexing in Arbitrary Metric and Nonmetric Spaces.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015
Analysing Online Education-based Asynchronous Communication Tools to Detect Students' Roles.
Proceedings of the CSEDU 2015, 2015
2014
A statistical significance testing approach to mining the most informative set of patterns.
Data Min. Knowl. Discov., 2014
Data Min. Knowl. Discov., 2014
Proceedings of the 23rd International World Wide Web Conference, 2014
Benchmarking dynamic time warping on nearest neighbor classification of electrocardiograms.
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014
Proceedings of the Advances in Intelligent Data Analysis XIII, 2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013
Proceedings of the Advances in Intelligent Data Analysis XII, 2013
2012
Hum-a-song: A Subsequence Matching with Gaps-Range-Tolerances Query-By-Humming System.
Proc. VLDB Endow., 2012
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012
2011
ACM Trans. Database Syst., 2011
A Subsequence Matching with Gaps-Range-Tolerances Framework: A Query-By-Humming Application.
Proc. VLDB Endow., 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the PETRA 2011, 2011
Proceedings of the PETRA 2011, 2011
2010
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010
Tracking your steps on the track: body sensor recordings of a controlled walking experiment.
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010
2009
Proceedings of the 2nd International Conference on Pervasive Technologies Related to Assistive Environments, 2009
2008
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008
Proceedings of the 24th International Conference on Data Engineering, 2008
2006
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005