Discovering Frequent Arrangements of Temporal Intervals. - Panagiotis Papapetrou; George Kollios; Stan Sclaroff; Dimitrios Gunopulos (ICDM, 2005)

Discovering Frequent Poly-Regions in DNA Sequences. - Panagiotis Papapetrou; Gary Benson; George Kollios (ICDM Workshops, 2006)

Nearest Neighbor Retrieval Using Distance-Based Hashing. - Vassilis Athitsos; Michalis Potamias; Panagiotis Papapetrou; George Kollios (ICDE, 2008)

Approximate embedding-based subsequence matching of time series. - Vassilis Athitsos; Panagiotis Papapetrou; Michalis Potamias; George Kollios; Dimitrios Gunopulos (SIGMOD Conference, 2008)

Towards faster activity search using embedding-based subsequence matching. - Panagiotis Papapetrou; Paul Doliotis; Vassilis Athitsos (PETRA, 2009)

Mining frequent arrangements of temporal intervals. - Panagiotis Papapetrou; George Kollios; Stan Sclaroff; Dimitrios Gunopulos (Knowl. Inf. Syst., 2009)

Reference-Based Alignment in Large Sequence Databases. - Panagiotis Papapetrou; Vassilis Athitsos; George Kollios; Dimitrios Gunopulos (Proc. VLDB Endow., 2009)

Visually Controllable Data Mining Methods. - Kai Puolamäki; Panagiotis Papapetrou; Jefrey Lijffijt (ICDM Workshops, 2010)

Tracking your steps on the track: body sensor recordings of a controlled walking experiment. - Jefrey Lijffijt; Panagiotis Papapetrou; Jaakko Hollmén (PETRA, 2010)

Benchmarking dynamic time warping for music retrieval. - Jefrey Lijffijt; Panagiotis Papapetrou; Jaakko Hollmén; Vassilis Athitsos (PETRA, 2010)

Distance measure for querying sequences of temporal intervals. - Orestis Kostakis; Panagiotis Papapetrou; Jaakko Hollmén (PETRA, 2011)

Model-based search in large time series databases. - Alexios Kotsifakos; Vassilis Athitsos; Panagiotis Papapetrou; Jaakko Hollmén; Dimitrios Gunopulos (PETRA, 2011)

ARTEMIS: Assessing the Similarity of Event-Interval Sequences. - Orestis Kostakis; Panagiotis Papapetrou; Jaakko Hollmén (ECML/PKDD (2), 2011)

Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping. - Jefrey Lijffijt; Panagiotis Papapetrou; Kai Puolamäki; Heikki Mannila (ECML/PKDD (2), 2011)

A Shapley Value Approach for Influence Attribution. - Panagiotis Papapetrou; Aristides Gionis; Heikki Mannila (ECML/PKDD (2), 2011)

A Subsequence Matching with Gaps-Range-Tolerances Framework: A Query-By-Humming Application. - Alexios Kotsifakos; Panagiotis Papapetrou; Jaakko Hollmén; Dimitrios Gunopulos (Proc. VLDB Endow., 2011)

Embedding-based subsequence matching in time-series databases. - Panagiotis Papapetrou; Vassilis Athitsos; Michalis Potamias; George Kollios; Dimitrios Gunopulos (ACM Trans. Database Syst., 2011)

Benchmarking link analysis ranking methods in assistive environments. - Konstantinos Georgatzis; Panagiotis Papapetrou (PETRA, 2012)

A survey of query-by-humming similarity methods. - Alexios Kotsifakos; Panagiotis Papapetrou; Jaakko Hollmén; Dimitrios Gunopulos; Vassilis Athitsos (PETRA, 2012)

Finding representative objects using link analysis ranking. - Panagiotis Papapetrou; Tatiana Chistiakova; Jaakko Hollmén; Vana Kalogeraki; Dimitrios Gunopulos (PETRA, 2012)

Size Matters: Finding the Most Informative Set of Window Lengths. - Jefrey Lijffijt; Panagiotis Papapetrou; Kai Puolamäki (ECML/PKDD (2), 2012)

Mining poly-regions in DNA. - Panagiotis Papapetrou; Gary Benson; George Kollios (Int. J. Data Min. Bioinform., 2012)

Hum-a-song: A Subsequence Matching with Gaps-Range-Tolerances Query-By-Humming System. - Alexios Kotsifakos; Panagiotis Papapetrou; Jaakko Hollmén; Dimitrios Gunopulos; Vassilis Athitsos; George Kollios (Proc. VLDB Endow., 2012)

Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks. - Thidawan Klaysri; Trevor I. Fenner; Oded Lachish; Mark Levene; Panagiotis Papapetrou (IDA, 2013)

Genre classification of symbolic music with SMBGT. - Alexios Kotsifakos; Evangelos E. Kotsifakos; Panagiotis Papapetrou; Vassilis Athitsos (PETRA, 2013)

IBSM: Interval-Based Sequence Matching. - Alexios Kotsifakos; Panagiotis Papapetrou; Vassilis Athitsos (SDM, 2013)

Social context discovery from temporal app use patterns. - Panagiotis Papapetrou; George Roussos (UbiComp Adjunct, 2014)

Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships. - Mohammad Tareq Jaber; Panagiotis Papapetrou; Sven Helmer; Peter T. Wood (IDA, 2014)

Model-Based Time Series Classification. - Alexios Kotsifakos; Panagiotis Papapetrou (IDA, 2014)

Mining candidates for adverse drug interactions in electronic patient records. - Lars Asker; Henrik Boström; Isak Karlsson; Panagiotis Papapetrou; Jing Zhao 017 (PETRA, 2014)

Benchmarking dynamic time warping on nearest neighbor classification of electrocardiograms. - Nikolaos Tselas; Panagiotis Papapetrou (PETRA, 2014)

Inferring offline hierarchical ties from online social networks. - Mohammad Tareq Jaber; Peter T. Wood; Panagiotis Papapetrou; Sven Helmer (WWW (Companion Volume), 2014)

A peek into the black box: exploring classifiers by randomization. - Andreas Henelius; Kai Puolamäki; Henrik Boström; Lars Asker; Panagiotis Papapetrou (Data Min. Knowl. Discov., 2014)

A statistical significance testing approach to mining the most informative set of patterns. - Jefrey Lijffijt; Panagiotis Papapetrou; Kai Puolamäki (Data Min. Knowl. Discov., 2014)

Analysing Online Education-based Asynchronous Communication Tools to Detect Students' Roles. - Mohammad Tareq Jaber; Panagiotis Papapetrou; Ana González-Marcos; Peter T. Wood (CSEDU (2), 2015)

Multi-channel ECG classification using forests of randomized shapelet trees. - Isak Karlsson; Panagiotis Papapetrou; Lars Asker (PETRA, 2015)

Extracting news text from web pages: an application for the visually impaired. - Erik Lundgren; Panagiotis Papapetrou; Lars Asker (PETRA, 2015)

Optimizing Hashing Functions for Similarity Indexing in Arbitrary Metric and Nonmetric Spaces. - Pat Jangyodsuk; Panagiotis Papapetrou; Vassilis Athitsos (SDM, 2015)

GoldenEye++: A Closer Look into the Black Box. - Andreas Henelius; Kai Puolamäki; Isak Karlsson; Jing Zhao 017; Lars Asker; Henrik Boström; Panagiotis Papapetrou (SLDS, 2015)

Forests of Randomized Shapelet Trees. - Isak Karlsson; Panagiotis Papapetrou; Henrik Boström (SLDS, 2015)

Finding the longest common sub-pattern in sequences of temporal intervals. - Orestis Kostakis; Panagiotis Papapetrou (Data Min. Knowl. Discov., 2015)

DRESS: dimensionality reduction for efficient sequence search. - Alexios Kotsifakos; Alexandra Stefan; Vassilis Athitsos; Gautam Das 001; Panagiotis Papapetrou (Data Min. Knowl. Discov., 2015)

Size matters: choosing the most informative set of window lengths for mining patterns in event sequences. - Jefrey Lijffijt; Panagiotis Papapetrou; Kai Puolamäki (Data Min. Knowl. Discov., 2015)

Embedding-based subsequence matching with gaps-range-tolerances: a Query-By-Humming application. - Alexios Kotsifakos; Isak Karlsson; Panagiotis Papapetrou; Vassilis Athitsos; Dimitrios Gunopulos (VLDB J., 2015)

Identifying Factors for the Effectiveness of Treatment of Heart Failure: A Registry Study. - Lars Asker; Henrik Boström; Panagiotis Papapetrou; Hans E. Persson (CBMS, 2016)

STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals. - Leon Bornemann; Jason Lecerf; Panagiotis Papapetrou (DS, 2016)

Early Random Shapelet Forest. - Isak Karlsson; Panagiotis Papapetrou; Henrik Boström (DS, 2016)

A Multi-Granularity Pattern-Based Sequence Classification Framework for Educational Data. - Mohammad Tareq Jaber; Peter T. Wood; Panagiotis Papapetrou; Ana González-Marcos (DSAA, 2016)

Learning from Swedish Healthcare Data. - Lars Asker; Panagiotis Papapetrou; Henrik Boström (PETRA, 2016)

FindMyDoc: a P2P platform disrupting traditional healthcare models and matching patients to doctors. - Myrsini Glinos; Svante Dahlberg; Nikolaos Tselas; Panagiotis Papapetrou (PETRA, 2016)

Semigeometric Tiling of Event Sequences. - Andreas Henelius; Isak Karlsson; Panagiotis Papapetrou; Antti Ukkonen; Kai Puolamäki (ECML/PKDD (1), 2016)

Clustering with Confidence: Finding Clusters with Statistical Guarantees. - Andreas Henelius; Kai Puolamäki; Henrik Boström; Panagiotis Papapetrou (CoRR, 2016)

Generalized random shapelet forests. - Isak Karlsson; Panagiotis Papapetrou; Henrik Boström (Data Min. Knowl. Discov., 2016)

Query-sensitive distance measure selection for time series nearest neighbor classification. - Alexios Kotsifakos; Vassilis Athitsos; Panagiotis Papapetrou (Intell. Data Anal., 2016)

Significance testing of word frequencies in corpora. - Jefrey Lijffijt; Terttu Nevalainen; Tanja Säily; Panagiotis Papapetrou; Kai Puolamäki; Heikki Mannila (Digit. Scholarsh. Humanit., 2016)

Conformal Prediction Using Random Survival Forests. - Henrik Boström; Lars Asker; Ram B. Gurung; Isak Karlsson; Tony Lindgren; Panagiotis Papapetrou (ICMLA, 2017)

KAPMiner: Mining Ordered Association Rules with Constraints. - Isak Karlsson; Panagiotis Papapetrou; Lars Asker (IDA, 2017)

ABIDE: Querying Time-Evolving Sequences of Temporal Intervals. - Orestis Kostakis; Panagiotis Papapetrou (IDA, 2017)

Mining disproportional itemsets for characterizing groups of heart failure patients from administrative health records. - Isak Karlsson; Panagiotis Papapetrou; Lars Asker; Henrik Boström; Hans E. Persson (PETRA, 2017)

Detecting Hierarchical Ties Using Link-Analysis Ranking at Different Levels of Time Granularity. - Hend Kareem; Lars Asker; Panagiotis Papapetrou (CoRR, 2017)

Entropy-based Prediction of Network Protocols in the Forensic Analysis of DNS Tunnels. - Irvin Homem; Panagiotis Papapetrou; Spyridon Dosis (CoRR, 2017)

On searching and indexing sequences of temporal intervals. - Orestis Kostakis; Panagiotis Papapetrou (Data Min. Knowl. Discov., 2017)

Learning from heterogeneous temporal data in electronic health records. - Jing Zhao 017; Panagiotis Papapetrou; Lars Asker; Henrik Boström (J. Biomed. Informatics, 2017)

Explainable Predictions of Adverse Drug Events from Electronic Health Records Via Oracle Coaching. - Loes Crielaard; Panagiotis Papapetrou (ICDM Workshops, 2018)

Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations. - Isak Karlsson; Jonathan Rebane; Panagiotis Papapetrou; Aristides Gionis (ICDM, 2018)

Information-Entropy-Based DNS Tunnel Prediction. - Irvin Homem; Panagiotis Papapetrou; Spyridon Dosis (IFIP Int. Conf. Digital Forensics, 2018)

Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature. - Jaakko Hollmén; Lars Asker; Isak Karlsson; Panagiotis Papapetrou; Henrik Boström; Birgitta Norstedt Wikner; Inger Öhman (PETRA, 2018)

Discovering, selecting and exploiting feature sequence records of study participants for the classification of epidemiological data on hepatic steatosis. - Tommy Hielscher; Henry Völzke; Panagiotis Papapetrou; Myra Spiliopoulou (SAC, 2018)

Open-Source Physiological Computing Framework using Heart Rate Variability in Mobile Virtual Reality Applications. - Luis Quintero; Panagiotis Papapetrou; John Edison Muñoz (AIVR, 2019)

An Investigation of Interpretable Deep Learning for Adverse Drug Event Prediction. - Jonathan Rebane; Isak Karlsson; Panagiotis Papapetrou (CBMS, 2019)

Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA. - Amin Azari; Panagiotis Papapetrou; Stojan Z. Denic; Gunnar Peters (DS, 2019)

User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches. - Amin Azari; Panagiotis Papapetrou; Stojan Z. Denic; Gunnar Peters (GLOBECOM, 2019)

Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows. - Maria Bampa; Panagiotis Papapetrou (ICDM Workshops, 2019)

Implementation of Mobile-Based Real-Time Heart Rate Variability Detection for Personalized Healthcare. - Luis Quintero; Panagiotis Papapetrou; John Edison Muñoz; Uno Fors (ICDM Workshops, 2019)

FISUL: A Framework for Detecting Adverse Drug Events from Heterogeneous Medical Sources Using Feature Importance. - Corinne G. Allaart; Lena Mondrejevski; Panagiotis Papapetrou (AIAI, 2019)

Clustering Diagnostic Profiles of Patients. - Jaakko Hollmén; Panagiotis Papapetrou (AIAI, 2019)

Example-Based Feature Tweaking Using Random Forests. - Tony Lindgren; Panagiotis Papapetrou; Isak Samsten; Lars Asker (IRI, 2019)

Mining and Model Understanding on Medical Data. - Myra Spiliopoulou; Panagiotis Papapetrou (KDD, 2019)

Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records. - Maria Bampa; Panagiotis Papapetrou (CoRR, 2019)

A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records. - Francesco Bagattini; Isak Karlsson; Jonathan Rebane; Panagiotis Papapetrou (BMC Medical Informatics Decis. Mak., 2019)

A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events. - Maria Bampa; Panagiotis Papapetrou; Jaakko Hollmén (CBMS, 2020)

Evaluating Local Interpretable Model-Agnostic Explanations on Clinical Machine Learning Classification Models. - Nesaretnam Barr Kumarakulasinghe; Tobias Blomberg; Jintai Liu; Alexandra Saraiva Leao; Panagiotis Papapetrou (CBMS, 2020)

Mining Disproportional Frequent Arrangements of Event Intervals for Investigating Adverse Drug Events. - Zed Lee; Jonathan Rebane; Panagiotis Papapetrou (CBMS, 2020)

Clinical Predictive Keyboard using Statistical and Neural Language Modeling. - John Pavlopoulos; Panagiotis Papapetrou (CBMS, 2020)

Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals. - Zed Lee; Tony Lindgren; Panagiotis Papapetrou (KDD, 2020)

Prediction of Global Navigation Satellite System Positioning Errors with Guarantees. - Alejandro Kuratomi; Tony Lindgren; Panagiotis Papapetrou (ECML/PKDD (4), 2020)

Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification. - Zed Lee; Sarunas Girdzijauskas; Panagiotis Papapetrou (ECML/PKDD (1), 2020)

Exploiting complex medical data with interpretable deep learning for adverse drug event prediction. - Jonathan Rebane; Isak Samsten; Panagiotis Papapetrou (Artif. Intell. Medicine, 2020)

RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams. - Vasiliki Kougia; John Pavlopoulos; Panagiotis Papapetrou; Max Gordon (CoRR, 2020)

Corrigendum to 'Learning from heterogeneous temporal data in electronic health records'. [J. Biomed. Inform. 65 (2017) 105-119]. - Jing Zhao 017; Panagiotis Papapetrou; Lars Asker; Henrik Boström (J. Biomed. Informatics, 2020)

Locally and globally explainable time series tweaking. - Isak Karlsson; Jonathan Rebane; Panagiotis Papapetrou; Aristides Gionis (Knowl. Inf. Syst., 2020)

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 002; Rebecka Weegar (AIED (2), 2021)

Customized Neural Predictive Medical Text: A Use-Case on Caregivers. - John Pavlopoulos; Panagiotis Papapetrou (AIME, 2021)

Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients. - Zhendong Wang; Isak Samsten; Panagiotis Papapetrou (AIME, 2021)

Effective Classification of Head Motion Trajectories in Virtual Reality Using Time-Series Methods. - Luis Quintero; Panagiotis Papapetrou; Jaakko Hollmén; Uno Fors (AIVR, 2021)

Assessing the Clinical Validity of Attention-based and SHAP Temporal Explanations for Adverse Drug Event Predictions. - Jonathan Rebane; Isak Samsten; Panteleimon Pantelidis; Panagiotis Papapetrou (CBMS, 2021)

Automated Grading of Exam Responses: An Extensive Classification Benchmark. - Jimmy Ljungman; Vanessa Lislevand; John Pavlopoulos; Alexandra Farazouli; Zed Lee; Panagiotis Papapetrou; Uno Fors (DS, 2021)

Sentiment Nowcasting During the COVID-19 Pandemic. - Ioanna Miliou; John Pavlopoulos; Panagiotis Papapetrou (DS, 2021)

Learning Time Series Counterfactuals via Latent Space Representations. - Zhendong Wang; Isak Samsten; Rami Mochaourab; Panagiotis Papapetrou (DS, 2021)

Automatic and Intelligent Recommendations to Support Students' Self-Regulation. - Muhammad Afzaal; Jalal Nouri; Aayesha Zia; Panagiotis Papapetrou; Uno Fors; Yongchao Wu; Xiu Li 002; Rebecka Weegar (ICALT, 2021)

Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots. - Zed Lee; Nicholas Anton; Panagiotis Papapetrou; Tony Lindgren (IDA, 2021)

Robust Explanations for Private Support Vector Machines. - Rami Mochaourab; Sugandh Sinha; Stanley Greenstein; Panagiotis Papapetrou (CoRR, 2021)

SMILE: a feature-based temporal abstraction framework for event-interval sequence classification. - Jonathan Rebane; Isak Karlsson; Leon Bornemann; Panagiotis Papapetrou (Data Min. Knowl. Discov., 2021)

Guest editorial: Special issue on mining for health. - Myra Spiliopoulou; Panagiotis Papapetrou (Data Min. Knowl. Discov., 2021)

Explainable AI for Data-Driven Feedback and Intelligent Action Recommendations to Support Students Self-Regulation. - Muhammad Afzaal; Jalal Nouri; Aayesha Zia; Panagiotis Papapetrou; Uno Fors; Yongchao Wu; Xiu Li 002; Rebecka Weegar (Frontiers Artif. Intell., 2021)

RTEX: A novel framework for ranking, tagging, and explanatory diagnostic captioning of radiography exams. - Vasiliki Kougia; John Pavlopoulos; Panagiotis Papapetrou; Max Gordon (J. Am. Medical Informatics Assoc., 2021)

EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning. - Maria Bampa; Tobias Fasth; Sindri Magnússon; Panagiotis Papapetrou (AIME, 2022)

FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. - Lena Mondrejevski; Ioanna Miliou; Annaclaudia Montanino; David Pitts; Jaakko Hollmén; Panagiotis Papapetrou (CBMS, 2022)

JUICE: JUstIfied Counterfactual Explanations. - Alejandro Kuratomi; Ioanna Miliou; Zed Lee; Tony Lindgren; Panagiotis Papapetrou (DS, 2022)

Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors. - Stefany Guarnizo; Ioanna Miliou; Panagiotis Papapetrou (IDA, 2022)

Measuring the Burden of (Un)fairness Using Counterfactuals. - Alejandro Kuratomi; Evaggelia Pitoura; Panagiotis Papapetrou; Tony Lindgren; Panayiotis Tsaparas (PKDD/ECML Workshops (1), 2022)

Finding Local Groupings of Time Series. - Zed Lee; Marco Trincavelli; Panagiotis Papapetrou (ECML/PKDD (6), 2022)

Demonstrator on Counterfactual Explanations for Differentially Private Support Vector Machines. - Rami Mochaourab; Sugandh Sinha; Stanley Greenstein; Panagiotis Papapetrou (ECML/PKDD (6), 2022)

A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients. - Franco Rugolon; Maria Bampa; Panagiotis Papapetrou (PKDD/ECML Workshops (2), 2022)

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 Muñoz; Jeroen De Mooij; Michael Gaebler (VR Workshops, 2022)

Random subspace and random projection nearest neighbor ensembles for high dimensional data. - Sampath Deegalla; Keerthi Walgama; Panagiotis Papapetrou; Henrik Boström (Expert Syst. Appl., 2022)

Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective. - Rami Mochaourab; Arun Venkitaraman; Isak Samsten; Panagiotis Papapetrou; Cristian R. Rojas (IEEE Signal Process. Mag., 2022)

Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks. - Amin Azari; Fateme Salehi; Panagiotis Papapetrou; Cicek Cavdar (IEEE Trans. Green Commun. Netw., 2022)

ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. - Alejandro Kuratomi; Zed Lee; Ioanna Miliou; Tony Lindgren; Panagiotis Papapetrou (DSAA, 2023)

Counterfactual Explanations for Time Series Forecasting. - Zhendong Wang; Ioanna Miliou; Isak Samsten; Panagiotis Papapetrou (ICDM, 2023)

Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. - Maria Movin; Guilherme Dinis Junior; Jaakko Hollmén; Panagiotis Papapetrou (IDA, 2023)

Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation. - Diego García-Pérez; Daniel Pérez 001; Panagiotis Papapetrou; Ignacio Díaz Blanco; Abel A. Cuadrado; José María Enguita; Ana González-Muñiz; Manuel Domínguez 002 (AIAI (Workshops), 2023)

A Workflow for Creating Multimodal Machine Learning Models for Metastasis Predictions in Melanoma Patients. - Franco Rugolon; Korbinian Randl; Maria Bampa; Panagiotis Papapetrou (PKDD/ECML Workshops (4), 2023)

Unveiling Driver Modules in Lung Cancer: A Clustering-Based Gene-Gene Interaction Network Analysis. - Golnaz Taheri; Marcell Szalai; Mahnaz Habibi; Panagiotis Papapetrou (PKDD/ECML Workshops (4), 2023)

Enterprise Modeling for Machine Learning: Case-Based Analysis and Initial Framework Proposal. - Dominik Bork; Panagiotis Papapetrou; Jelena Zdravkovic (RCIS, 2023)

Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information. - Van Long Ho; Nguyen Ho; Torben Bach Pedersen; Panagiotis Papapetrou (CoRR, 2023)

An End-to-End Workflow using Topic Segmentation and Text Summarisation Methods for Improved Podcast Comprehension. - Andrew Aquilina; Sean Diacono; Panagiotis Papapetrou; Maria Movin (CoRR, 2023)

Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients. - Zhendong Wang; Isak Samsten; Vasiliki Kougia; Panagiotis Papapetrou (Artif. Intell. Medicine, 2023)

Interpretable Caries Development Prediction with Event Intervals. - Zed Lee; Álfheidur Ástvaldsdóttir; Hans Sandberg; Panagiotis Papapetrou; Uno Fors (CBMS, 2024)

MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU. - Lena Mondrejevski; Franco Rugolon; Ioanna Miliou; Panagiotis Papapetrou (CBMS, 2024)

COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting. - Zhendong Wang; Isak Samsten; Ioanna Miliou; Panagiotis Papapetrou (CBMS, 2024)

Interpretable and Explainable Time Series Mining. - Panagiotis Papapetrou; Zed Lee (DSAA, 2024)

AI Explainability Methods in Digital Twins: A Model and a Use Case. - Tim Kreuzer; Panagiotis Papapetrou; Jelena Zdravkovic (EDOC, 2024)

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 (ICDM, 2024)

M-ClustEHR: A multimodal clustering approach for electronic health records. - Maria Bampa; Ioanna Miliou; Braslav Jovanovic; Panagiotis Papapetrou (Artif. Intell. Medicine, 2024)

Artificial intelligence in digital twins - A systematic literature review. - Tim Kreuzer; Panagiotis Papapetrou; Jelena Zdravkovic (Data Knowl. Eng., 2024)

Z-Time: efficient and effective interpretable multivariate time series classification. - Zed Lee; Tony Lindgren; Panagiotis Papapetrou (Data Min. Knowl. Discov., 2024)

Ijuice: integer JUstIfied counterfactual explanations. - Alejandro Kuratomi; Ioanna Miliou; Zed Lee; Tony Lindgren; Panagiotis Papapetrou (Mach. Learn., 2024)

Glacier: guided locally constrained counterfactual explanations for time series classification. - Zhendong Wang; Isak Samsten; Ioanna Miliou; Rami Mochaourab; Panagiotis Papapetrou (Mach. Learn., 2024)

A Meta-model for Integrating Explainable Forecasting with Digital Twins. - Tim Kreuzer; Panagiotis Papapetrou; Jelena Zdravkovic (CAiSE Workshops, 2025)

EXTREMUM: A Web-Based Tool to Generate and Explore Counterfactual Explanations on Tabular and Time-Series Data. - Athanasios Lakes; Luis Quintero; Panagiotis Papapetrou (ECML/PKDD (10), 2025)

Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information. - Van Long Ho; Nguyen Ho; Torben Bach Pedersen; Panagiotis Papapetrou (IEEE Trans. Knowl. Data Eng., 2025)

Conditioned fully convolutional denoising autoencoder for multi-target NILM. - Diego García-Pérez; Daniel Pérez 001; Panagiotis Papapetrou; Ignacio Díaz Blanco; Abel A. Cuadrado; José M. Enguita; Manuel Domínguez 002 (Neural Comput. Appl., 2025)

PAX-TS: Model-agnostic multi-granular explanations for time series forecasting via localized perturbations. - Tim Kreuzer; Jelena Zdravkovic; Panagiotis Papapetrou (CoRR, 2025)

Unpacking the trend: decomposition as a catalyst to enhance time series forecasting models. - Tim Kreuzer; Jelena Zdravkovic; Panagiotis Papapetrou (Data Min. Knowl. Discov., 2025)

Personalized Feature Importance Ranking for Affect Recognition From Behavioral and Physiological Data. - Luis Quintero; Uno Fors; Panagiotis Papapetrou (IEEE Trans. Games, 2025)