| 2025 | CaiSE | A Meta-model for Integrating Explainable Forecasting with Digital Twins. | Tim Kreuzer, Panagiotis Papapetrou, Jelena Zdravkovic |
| 2025 | ICDM | X4FL: Explainability for Federated Learning in ICU Mortality Prediction. | Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, Claudius Diez, Panagiotis Papapetrou |
| 2024 | CBMS | Interpretable Caries Development Prediction with Event Intervals. | Zed Lee, lfheidur stvaldsdttir, Hans Sandberg, Panagiotis Papapetrou, Uno Fors |
| 2024 | CBMS | MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU. | Lena Mondrejevski, Franco Rugolon, Ioanna Miliou, Panagiotis Papapetrou |
| 2024 | CBMS | COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting. | Zhendong Wang, Isak Samsten, Ioanna Miliou, Panagiotis Papapetrou |
| 2024 | DSAA | Interpretable and Explainable Time Series Mining. | Panagiotis Papapetrou, Zed Lee |
| 2024 | EDOC | AI Explainability Methods in Digital Twins: A Model and a Use Case. | Tim Kreuzer, Panagiotis Papapetrou, Jelena Zdravkovic |
| 2024 | ICDM | CounterFair: Group Counterfactuals for Bias Detection, Mitigation and Subgroup Identification. | Alejandro Kuratomi, Zed Lee, Panayiotis Tsaparas, Guilherme Dinis Junior, Evaggelia Pitoura, Tony Lindgren, Panagiotis Papapetrou |
| 2023 | DSAA | ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. | Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou |
| 2023 | ICDM | Counterfactual Explanations for Time Series Forecasting. | Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou |
| 2023 | IDA | Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. | Maria Movin, Guilherme Dinis Junior, Jaakko Hollmn, Panagiotis Papapetrou |
| 2023 | RCIS | Enterprise Modeling for Machine Learning: Case-Based Analysis and Initial Framework Proposal. | Dominik Bork, Panagiotis Papapetrou, Jelena Zdravkovic |
| 2022 | AIME | EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning. | Maria Bampa, Tobias Fasth, Sindri Magnsson, Panagiotis Papapetrou |
| 2022 | CBMS | FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. | Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmn, Panagiotis Papapetrou |
| 2022 | DIS | JUICE: JUstIfied Counterfactual Explanations. | Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou |
| 2022 | IDA | Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors. | Stefany Guarnizo, Ioanna Miliou, Panagiotis Papapetrou |
| 2022 | VR | Excite-O-Meter: an Open-Source Unity Plugin to Analyze Heart Activity and Movement Trajectories in Custom VR Environments. | Luis Quintero, Panagiotis Papapetrou, John Edison Muoz, Jeroen De Mooij, Michael Gaebler |
| 2021 | AIED | Generation of Automatic Data-Driven Feedback to Students Using Explainable Machine Learning. | Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar |
| 2021 | AIME | Customized Neural Predictive Medical Text: A Use-Case on Caregivers. | John Pavlopoulos, Panagiotis Papapetrou |
| 2021 | AIME | Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients. | Zhendong Wang, Isak Samsten, Panagiotis Papapetrou |
| 2021 | CBMS | Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event Predictions. | Jonathan Rebane, Isak Samsten, Panteleimon Pantelidis, Panagiotis Papapetrou |
| 2021 | DIS | Automated Grading of Exam Responses: An Extensive Classification Benchmark. | Jimmy Ljungman, Vanessa Lislevand, John Pavlopoulos, Alexandra Farazouli, Zed Lee, Panagiotis Papapetrou, Uno Fors |
| 2021 | DIS | Sentiment Nowcasting During the COVID-19 Pandemic. | Ioanna Miliou, John Pavlopoulos, Panagiotis Papapetrou |
| 2021 | DIS | Learning Time Series Counterfactuals via Latent Space Representations. | Zhendong Wang, Isak Samsten, Rami Mochaourab, Panagiotis Papapetrou |
| 2021 | ICALT | Automatic and Intelligent Recommendations to Support Students' Self-Regulation. | Muhammad Afzaal, Jalal Nouri, Aayesha Zia, Panagiotis Papapetrou, Uno Fors, Yongchao Wu, Xiu Li, Rebecka Weegar |
| 2021 | IDA | Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots. | Zed Lee, Nicholas Anton, Panagiotis Papapetrou, Tony Lindgren |
| 2020 | CBMS | A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events. | Maria Bampa, Panagiotis Papapetrou, Jaakko Hollmn |
| 2020 | CBMS | Evaluating Local Interpretable Model-Agnostic Explanations on Clinical Machine Learning Classification Models. | Nesaretnam Barr Kumarakulasinghe, Tobias Blomberg, Jintai Liu, Alexandra Saraiva Leao, Panagiotis Papapetrou |
| 2020 | CBMS | Mining Disproportional Frequent Arrangements of Event Intervals for Investigating Adverse Drug Events. | Zed Lee, Jonathan Rebane, Panagiotis Papapetrou |
| 2020 | CBMS | Clinical Predictive Keyboard using Statistical and Neural Language Modeling. | John Pavlopoulos, Panagiotis Papapetrou |
| 2020 | KDD | Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals. | Zed Lee, Tony Lindgren, Panagiotis Papapetrou |
| 2019 | CBMS | An Investigation of Interpretable Deep Learning for Adverse Drug Event Prediction. | Jonathan Rebane, Isak Karlsson, Panagiotis Papapetrou |
| 2019 | DIS | Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA. | Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters |
| 2019 | GLOBECOM | User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches. | Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters |
| 2019 | ICDM | Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows. | Maria Bampa, Panagiotis Papapetrou |
| 2019 | ICDM | Implementation of Mobile-Based Real-Time Heart Rate Variability Detection for Personalized Healthcare. | Luis Quintero, Panagiotis Papapetrou, John Edison Muoz, Uno Fors |
| 2019 | IRI | Example-Based Feature Tweaking Using Random Forests. | Tony Lindgren, Panagiotis Papapetrou, Isak Samsten, Lars Asker |
| 2019 | KDD | Mining and Model Understanding on Medical Data. | Myra Spiliopoulou, Panagiotis Papapetrou |
| 2018 | ICDM | Explainable Predictions of Adverse Drug Events from Electronic Health Records Via Oracle Coaching. | Loes Crielaard, Panagiotis Papapetrou |
| 2018 | ICDM | Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations. | Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis |
| 2018 | SAC | Discovering, selecting and exploiting feature sequence records of study participants for the classification of epidemiological data on hepatic steatosis. | Tommy Hielscher, Henry Vlzke, Panagiotis Papapetrou, Myra Spiliopoulou |
| 2017 | ICMLA | Conformal Prediction Using Random Survival Forests. | Henrik Bostrm, Lars Asker, Ram B. Gurung, Isak Karlsson, Tony Lindgren, Panagiotis Papapetrou |
| 2017 | IDA | KAPMiner: Mining Ordered Association Rules with Constraints. | Isak Karlsson, Panagiotis Papapetrou, Lars Asker |
| 2017 | IDA | ABIDE: Querying Time-Evolving Sequences of Temporal Intervals. | Orestis Kostakis, Panagiotis Papapetrou |
| 2016 | CBMS | Identifying Factors for the Effectiveness of Treatment of Heart Failure: A Registry Study. | Lars Asker, Henrik Bostrm, Panagiotis Papapetrou, Hans E. Persson |
| 2016 | DIS | STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals. | Leon Bornemann, Jason Lecerf, Panagiotis Papapetrou |
| 2016 | DIS | Early Random Shapelet Forest. | Isak Karlsson, Panagiotis Papapetrou, Henrik Bostrm |
| 2016 | DSAA | A Multi-Granularity Pattern-Based Sequence Classification Framework for Educational Data. | Mohammad Tareq Jaber, Peter T. Wood, Panagiotis Papapetrou, Ana Gonzlez-Marcos |
| 2015 | CSEDU | Analysing Online Education-based Asynchronous Communication Tools to Detect Students' Roles. | Mohammad Tareq Jaber, Panagiotis Papapetrou, Ana Gonzlez-Marcos, Peter T. Wood |
| 2015 | SDM | Optimizing Hashing Functions for Similarity Indexing in Arbitrary Metric and Nonmetric Spaces. | Pat Jangyodsuk, Panagiotis Papapetrou, Vassilis Athitsos |
| 2014 | IDA | Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships. | Mohammad Tareq Jaber, Panagiotis Papapetrou, Sven Helmer, Peter T. Wood |
| 2014 | IDA | Model-Based Time Series Classification. | Alexios Kotsifakos, Panagiotis Papapetrou |
| 2014 | WWW | Inferring offline hierarchical ties from online social networks. | Mohammad Tareq Jaber, Peter T. Wood, Panagiotis Papapetrou, Sven Helmer |
| 2013 | IDA | Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks. | Thidawan Klaysri, Trevor I. Fenner, Oded Lachish, Mark Levene, Panagiotis Papapetrou |
| 2013 | SDM | IBSM: Interval-Based Sequence Matching. | Alexios Kotsifakos, Panagiotis Papapetrou, Vassilis Athitsos |
| 2010 | ICDM | Visually Controllable Data Mining Methods. | Kai Puolamki, Panagiotis Papapetrou, Jefrey Lijffijt |
| 2008 | ICDE | Nearest Neighbor Retrieval Using Distance-Based Hashing. | Vassilis Athitsos, Michalis Potamias, Panagiotis Papapetrou, George Kollios |
| 2008 | SIGMOD | Approximate embedding-based subsequence matching of time series. | Vassilis Athitsos, Panagiotis Papapetrou, Michalis Potamias, George Kollios, Dimitrios Gunopulos |
| 2006 | ICDM | Discovering Frequent Poly-Regions in DNA Sequences. | Panagiotis Papapetrou, Gary Benson, George Kollios |
| 2005 | ICDM | Discovering Frequent Arrangements of Temporal Intervals. | Panagiotis Papapetrou, George Kollios, Stan Sclaroff, Dimitrios Gunopulos |