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2020 – today
- 2024
[j34]Maria Bampa
, Ioanna Miliou, Braslav Jovanovic, Panagiotis Papapetrou:
M-ClustEHR: A multimodal clustering approach for electronic health records. Artif. Intell. Medicine 154: 102905 (2024)- [j33]Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
Z-Time: efficient and effective interpretable multivariate time series classification. Data Min. Knowl. Discov. 38(1): 206-236 (2024) - [j32]Tim Kreuzer, Panagiotis Papapetrou, Jelena Zdravkovic:
Artificial intelligence in digital twins - A systematic literature review. Data Knowl. Eng. 151: 102304 (2024) - [j31]Zhendong Wang, Isak Samsten, Ioanna Miliou, Rami Mochaourab, Panagiotis Papapetrou:
Glacier: guided locally constrained counterfactual explanations for time series classification. Mach. Learn. 113(7): 4639-4669 (2024) - [j30]Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
Ijuice: integer JUstIfied counterfactual explanations. Mach. Learn. 113(8): 5731-5771 (2024) - [c93]Lena Mondrejevski, Franco Rugolon, Ioanna Miliou, Panagiotis Papapetrou:
MASICU: A Multimodal Attention-based classifier for Sepsis mortality prediction in the ICU. CBMS 2024: 326-331 - [c92]Zed Lee, Álfheidur Ástvaldsdóttir, Hans Sandberg, Panagiotis Papapetrou, Uno Fors:
Interpretable Caries Development Prediction with Event Intervals. CBMS 2024: 430-435 - [c91]Zhendong Wang, Isak Samsten, Ioanna Miliou, Panagiotis Papapetrou:
COMET: Constrained Counterfactual Explanations for Patient Glucose Multivariate Forecasting. CBMS 2024: 502-507 - [c90]Panagiotis Papapetrou, Zed Lee:
Interpretable and Explainable Time Series Mining. DSAA 2024: 1-3 - [e5]Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou:
Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14641, Springer 2024, ISBN 978-3-031-58546-3 [contents] - [e4]Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou:
Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24-26, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14642, Springer 2024, ISBN 978-3-031-58555-5 [contents] - [e3]Zahraa S. Abdallah, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Matthias Jakobs, Emmanuel Müller, Maximilian Muschalik, Panagiotis Papapetrou, Amal Saadallah, George Tzagkarakis:
Proceedings of the Workshop on Explainable AI for Time Series and Data Streams (TempXAI 2024) co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, September 9th, 2024. CEUR Workshop Proceedings 3761, CEUR-WS.org 2024 [contents] - 2023
- [j29]Zhendong Wang, Isak Samsten, Vasiliki Kougia, Panagiotis Papapetrou:
Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients. Artif. Intell. Medicine 135: 102457 (2023) - [c89]Alejandro Kuratomi, Zed Lee, Ioanna Miliou, Tony Lindgren, Panagiotis Papapetrou:
ORANGE: Opposite-label soRting for tANGent Explanations in heterogeneous spaces. DSAA 2023: 1-10 - [c88]Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou:
Counterfactual Explanations for Time Series Forecasting. ICDM 2023: 1391-1396 - [c87]Maria Movin, Guilherme Dinis Junior, Jaakko Hollmén, Panagiotis Papapetrou:
Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. IDA 2023: 314-326 - [c86]Diego García-Pérez, Daniel Pérez, Panagiotis Papapetrou, Ignacio Díaz Blanco, Abel A. Cuadrado, José María Enguita, Ana González-Muñiz, Manuel Domínguez:
Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation. AIAI Workshops 2023: 421-433 - [c85]Dominik Bork, Panagiotis Papapetrou, Jelena Zdravkovic:
Enterprise Modeling for Machine Learning: Case-Based Analysis and Initial Framework Proposal. RCIS 2023: 518-525 - [i15]Van Long Ho, Nguyen Ho, Torben Bach Pedersen, Panagiotis Papapetrou:
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information. CoRR abs/2306.10994 (2023) - [i14]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 abs/2307.13394 (2023) - [i13]Zhendong Wang, Ioanna Miliou, Isak Samsten, Panagiotis Papapetrou:
Counterfactual Explanations for Time Series Forecasting. CoRR abs/2310.08137 (2023) - 2022
- [j28]Sampath Deegalla, Keerthi Walgama, Panagiotis Papapetrou, Henrik Boström:
Random subspace and random projection nearest neighbor ensembles for high dimensional data. Expert Syst. Appl. 191: 116078 (2022) - [j27]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): 119-129 (2022) - [j26]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): 1082-1095 (2022) - [c84]Maria Bampa, Tobias Fasth, Sindri Magnússon, Panagiotis Papapetrou:
EpidRLearn: Learning Intervention Strategies for Epidemics with Reinforcement Learning. AIME 2022: 189-199 - [c83]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: 32-37 - [c82]Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
JUICE: JUstIfied Counterfactual Explanations. DS 2022: 493-508 - [c81]Stefany Guarnizo, Ioanna Miliou, Panagiotis Papapetrou:
Impact of Dimensionality on Nowcasting Seasonal Influenza with Environmental Factors. IDA 2022: 128-142 - [c80]Zed Lee, Marco Trincavelli, Panagiotis Papapetrou:
Finding Local Groupings of Time Series. ECML/PKDD (6) 2022: 70-86 - [c79]Franco Rugolon, Maria Bampa, Panagiotis Papapetrou:
A Workflow for Generating Patient Counterfactuals in Lung Transplant Recipients. PKDD/ECML Workshops (2) 2022: 291-306 - [c78]Alejandro Kuratomi, Evaggelia Pitoura, Panagiotis Papapetrou, Tony Lindgren, Panayiotis Tsaparas:
Measuring the Burden of (Un)fairness Using Counterfactuals. PKDD/ECML Workshops (1) 2022: 402-417 - [c77]Rami Mochaourab, Sugandh Sinha, Stanley Greenstein, Panagiotis Papapetrou:
Demonstrator on Counterfactual Explanations for Differentially Private Support Vector Machines. ECML/PKDD (6) 2022: 662-666 - [c76]Luis Quintero, Panagiotis Papapetrou, John Edison 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: 46-47 - [i12]Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou:
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CoRR abs/2205.15104 (2022) - 2021
- [j25]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): 372-399 (2021) - [j24]Myra Spiliopoulou, Panagiotis Papapetrou:
Guest editorial: Special issue on mining for health. Data Min. Knowl. Discov. 35(4): 1710-1712 (2021) - [j23]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) - [j22]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): 1651-1659 (2021) - [c75]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: 37-42 - [c74]Zhendong Wang, Isak Samsten, Panagiotis Papapetrou:
Counterfactual Explanations for Survival Prediction of Cardiovascular ICU Patients. AIME 2021: 338-348 - [c73]John Pavlopoulos, Panagiotis Papapetrou:
Customized Neural Predictive Medical Text: A Use-Case on Caregivers. AIME 2021: 438-443 - [c72]Luis Quintero, Panagiotis Papapetrou, Jaakko Hollmén, Uno Fors:
Effective Classification of Head Motion Trajectories in Virtual Reality Using Time-Series Methods. AIVR 2021: 38-46 - [c71]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: 235-240 - [c70]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: 3-18 - [c69]Ioanna Miliou, John Pavlopoulos, Panagiotis Papapetrou:
Sentiment Nowcasting During the COVID-19 Pandemic. DS 2021: 218-228 - [c68]Zhendong Wang, Isak Samsten, Rami Mochaourab, Panagiotis Papapetrou:
Learning Time Series Counterfactuals via Latent Space Representations. DS 2021: 369-384 - [c67]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: 336-338 - [c66]Zed Lee, Nicholas Anton, Panagiotis Papapetrou, Tony Lindgren:
Z-Hist: A Temporal Abstraction of Multivariate Histogram Snapshots. IDA 2021: 376-388 - [i11]Rami Mochaourab, Sugandh Sinha, Stanley Greenstein, Panagiotis Papapetrou:
Robust Explanations for Private Support Vector Machines. CoRR abs/2102.03785 (2021) - [i10]Amin Azari, Fateme Salehi, Panagiotis Papapetrou, Cicek Cavdar:
Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks. CoRR abs/2111.01645 (2021) - 2020
- [j21]Jonathan Rebane, Isak Samsten, Panagiotis Papapetrou:
Exploiting complex medical data with interpretable deep learning for adverse drug event prediction. Artif. Intell. Medicine 109: 101942 (2020) - [j20]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: 103352 (2020) - [j19]Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis:
Locally and globally explainable time series tweaking. Knowl. Inf. Syst. 62(5): 1671-1700 (2020) - [c65]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: 7-12 - [c64]Maria Bampa, Panagiotis Papapetrou, Jaakko Hollmén:
A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events. CBMS 2020: 177-182 - [c63]Zed Lee, Jonathan Rebane, Panagiotis Papapetrou:
Mining Disproportional Frequent Arrangements of Event Intervals for Investigating Adverse Drug Events. CBMS 2020: 289-292 - [c62]John Pavlopoulos, Panagiotis Papapetrou:
Clinical Predictive Keyboard using Statistical and Neural Language Modeling. CBMS 2020: 293-296 - [c61]Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
Z-Miner: An Efficient Method for Mining Frequent Arrangements of Event Intervals. KDD 2020: 524-534 - [c60]Alejandro Kuratomi, Tony Lindgren, Panagiotis Papapetrou:
Prediction of Global Navigation Satellite System Positioning Errors with Guarantees. ECML/PKDD (4) 2020: 562-578 - [c59]Zed Lee, Sarunas Girdzijauskas, Panagiotis Papapetrou:
Z-Embedding: A Spectral Representation of Event Intervals for Efficient Clustering and Classification. ECML/PKDD (1) 2020: 710-726 - [i9]Vasiliki Kougia, John Pavlopoulos, Panagiotis Papapetrou, Max Gordon:
RTEX: A novel methodology for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams. CoRR abs/2006.06316 (2020) - [i8]John Pavlopoulos, Panagiotis Papapetrou:
Clinical Predictive Keyboard using Statistical and Neural Language Modeling. CoRR abs/2006.12040 (2020)
2010 – 2019
- 2019
- [j18]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): 7:1-7:20 (2019) - [c58]Luis Quintero, Panagiotis Papapetrou, John Edison Muñoz:
Open-Source Physiological Computing Framework using Heart Rate Variability in Mobile Virtual Reality Applications. AIVR 2019: 126-133 - [c57]Jonathan Rebane, Isak Karlsson, Panagiotis Papapetrou:
An Investigation of Interpretable Deep Learning for Adverse Drug Event Prediction. CBMS 2019: 337-342 - [c56]Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters:
Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA. DS 2019: 129-144 - [c55]Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters:
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches. GLOBECOM 2019: 1-6 - [c54]Luis Quintero, Panagiotis Papapetrou, John Edison Muñoz, Uno Fors:
Implementation of Mobile-Based Real-Time Heart Rate Variability Detection for Personalized Healthcare. ICDM Workshops 2019: 838-846 - [c53]Maria Bampa, Panagiotis Papapetrou:
Mining Adverse Drug Events Using Multiple Feature Hierarchies and Patient History Windows. ICDM Workshops 2019: 925-932 - [c52]Jaakko Hollmén, Panagiotis Papapetrou:
Clustering Diagnostic Profiles of Patients. AIAI 2019: 120-126 - [c51]Corinne G. Allaart, Lena Mondrejevski, Panagiotis Papapetrou:
FISUL: A Framework for Detecting Adverse Drug Events from Heterogeneous Medical Sources Using Feature Importance. AIAI 2019: 139-151 - [c50]Tony Lindgren, Panagiotis Papapetrou, Isak Samsten, Lars Asker:
Example-Based Feature Tweaking Using Random Forests. IRI 2019: 53-60 - [c49]Myra Spiliopoulou, Panagiotis Papapetrou:
Mining and Model Understanding on Medical Data. KDD 2019: 3223-3224 - [e2]Panagiotis Papapetrou, Xueqi Cheng, Qing He:
2019 International Conference on Data Mining Workshops, ICDM Workshops 2019, Beijing, China, November 8-11, 2019. IEEE 2019, ISBN 978-1-7281-4896-0 [contents] - [i7]Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters:
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA. CoRR abs/1906.00939 (2019) - [i6]Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters:
User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches. CoRR abs/1906.00951 (2019) - [i5]Maria Bampa, Panagiotis Papapetrou:
Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records. CoRR abs/1907.06058 (2019) - 2018
- [c48]Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis:
Explainable Time Series Tweaking via Irreversible and Reversible Temporal Transformations. ICDM 2018: 207-216 - [c47]Loes Crielaard, Panagiotis Papapetrou:
Explainable Predictions of Adverse Drug Events from Electronic Health Records Via Oracle Coaching. ICDM Workshops 2018: 707-714 - [c46]Irvin Homem, Panagiotis Papapetrou, Spyridon Dosis:
Information-Entropy-Based DNS Tunnel Prediction. IFIP Int. Conf. Digital Forensics 2018: 127-140 - [c45]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: 1-4 - [c44]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: 6-13 - [i4]Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, Aristides Gionis:
Explainable time series tweaking via irreversible and reversible temporal transformations. CoRR abs/1809.05183 (2018) - 2017
- [j17]Orestis Kostakis, Panagiotis Papapetrou:
On searching and indexing sequences of temporal intervals. Data Min. Knowl. Discov. 31(3): 809-850 (2017) - [j16]Jing Zhao, Panagiotis Papapetrou, Lars Asker, Henrik Boström:
Learning from heterogeneous temporal data in electronic health records. J. Biomed. Informatics 65: 105-119 (2017) - [c43]Henrik Boström, Lars Asker, Ram B. Gurung, Isak Karlsson, Tony Lindgren, Panagiotis Papapetrou:
Conformal Prediction Using Random Survival Forests. ICMLA 2017: 812-817 - [c42]Isak Karlsson, Panagiotis Papapetrou, Lars Asker:
KAPMiner: Mining Ordered Association Rules with Constraints. IDA 2017: 149-161 - [c41]Orestis Kostakis, Panagiotis Papapetrou:
ABIDE: Querying Time-Evolving Sequences of Temporal Intervals. IDA 2017: 173-185 - [c40]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: 394-398 - [i3]Hend Kareem, Lars Asker, Panagiotis Papapetrou:
Detecting Hierarchical Ties Using Link-Analysis Ranking at Different Levels of Time Granularity. CoRR abs/1701.06861 (2017) - [i2]Irvin Homem, Panagiotis Papapetrou, Spyridon Dosis:
Entropy-based Prediction of Network Protocols in the Forensic Analysis of DNS Tunnels. CoRR abs/1709.06363 (2017) - 2016
- [j15]Isak Karlsson, Panagiotis Papapetrou, Henrik Boström:
Generalized random shapelet forests. Data Min. Knowl. Discov. 30(5): 1053-1085 (2016) - [j14]Alexios Kotsifakos, Vassilis Athitsos, Panagiotis Papapetrou:
Query-sensitive distance measure selection for time series nearest neighbor classification. Intell. Data Anal. 20(1): 5-27 (2016) - [j13]Jefrey Lijffijt, Terttu Nevalainen, Tanja Säily, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila:
Significance testing of word frequencies in corpora. Digit. Scholarsh. Humanit. 31(2): 374-397 (2016) - [c39]Lars Asker, Henrik Boström, Panagiotis Papapetrou, Hans E. Persson:
Identifying Factors for the Effectiveness of Treatment of Heart Failure: A Registry Study. CBMS 2016: 205-206 - [c38]Leon Bornemann, Jason Lecerf, Panagiotis Papapetrou:
STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals. DS 2016: 85-100 - [c37]Isak Karlsson, Panagiotis Papapetrou, Henrik Boström:
Early Random Shapelet Forest. DS 2016: 261-276 - [c36]Mohammad Tareq Jaber, Peter T. Wood, Panagiotis Papapetrou, Ana González-Marcos:
A Multi-Granularity Pattern-Based Sequence Classification Framework for Educational Data. DSAA 2016: 370-378 - [c35]Lars Asker, Panagiotis Papapetrou, Henrik Boström:
Learning from Swedish Healthcare Data. PETRA 2016: 47 - [c34]Myrsini Glinos, Svante Dahlberg, Nikolaos Tselas, Panagiotis Papapetrou:
FindMyDoc: a P2P platform disrupting traditional healthcare models and matching patients to doctors. PETRA 2016: 53 - [c33]Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki:
Semigeometric Tiling of Event Sequences. ECML/PKDD (1) 2016: 329-344 - [e1]Henrik Boström, Arno J. Knobbe, Carlos Soares, Panagiotis Papapetrou:
Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings. Lecture Notes in Computer Science 9897, 2016, ISBN 978-3-319-46348-3 [contents] - [i1]Andreas Henelius, Kai Puolamäki, Henrik Boström, Panagiotis Papapetrou:
Clustering with Confidence: Finding Clusters with Statistical Guarantees. CoRR abs/1612.08714 (2016) - 2015
- [j12]Orestis Kostakis, Panagiotis Papapetrou:
Finding the longest common sub-pattern in sequences of temporal intervals. Data Min. Knowl. Discov. 29(5): 1178-1210 (2015) - [j11]Alexios Kotsifakos, Alexandra Stefan, Vassilis Athitsos, Gautam Das, Panagiotis Papapetrou:
DRESS: dimensionality reduction for efficient sequence search. Data Min. Knowl. Discov. 29(5): 1280-1311 (2015) - [j10]Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki:
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences. Data Min. Knowl. Discov. 29(6): 1838-1864 (2015) - [j9]Alexios Kotsifakos, Isak Karlsson, Panagiotis Papapetrou, Vassilis Athitsos, Dimitrios Gunopulos:
Embedding-based subsequence matching with gaps-range-tolerances: a Query-By-Humming application. VLDB J. 24(4): 519-536 (2015) - [c32]Mohammad Tareq Jaber, Panagiotis Papapetrou, Ana González-Marcos, Peter T. Wood:
Analysing Online Education-based Asynchronous Communication Tools to Detect Students' Roles. CSEDU (2) 2015: 416-424 - [c31]Isak Karlsson, Panagiotis Papapetrou, Lars Asker:
Multi-channel ECG classification using forests of randomized shapelet trees. PETRA 2015: 43:1-43:6 - [c30]Erik Lundgren, Panagiotis Papapetrou, Lars Asker:
Extracting news text from web pages: an application for the visually impaired. PETRA 2015: 68:1-68:4 - [c29]Pat Jangyodsuk, Panagiotis Papapetrou, Vassilis Athitsos:
Optimizing Hashing Functions for Similarity Indexing in Arbitrary Metric and Nonmetric Spaces. SDM 2015: 828-836 - [c28]Andreas Henelius, Kai Puolamäki, Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström, Panagiotis Papapetrou:
GoldenEye++: A Closer Look into the Black Box. SLDS 2015: 96-105 - [c27]Isak Karlsson, Panagiotis Papapetrou, Henrik Boström:
Forests of Randomized Shapelet Trees. SLDS 2015: 126-136 - 2014
- [j8]Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki:
A statistical significance testing approach to mining the most informative set of patterns. Data Min. Knowl. Discov. 28(1): 238-263 (2014) - [j7]Andreas Henelius, Kai Puolamäki, Henrik Boström, Lars Asker, Panagiotis Papapetrou:
A peek into the black box: exploring classifiers by randomization. Data Min. Knowl. Discov. 28(5-6): 1503-1529 (2014) - [c26]Panagiotis Papapetrou, George Roussos:
Social context discovery from temporal app use patterns. UbiComp Adjunct 2014: 397-402 - [c25]Mohammad Tareq Jaber, Panagiotis Papapetrou, Sven Helmer, Peter T. Wood:
Using Time-Sensitive Rooted PageRank to Detect Hierarchical Social Relationships. IDA 2014: 143-154 - [c24]Alexios Kotsifakos, Panagiotis Papapetrou:
Model-Based Time Series Classification. IDA 2014: 179-191 - [c23]Nikolaos Tselas, Panagiotis Papapetrou:
Benchmarking dynamic time warping on nearest neighbor classification of electrocardiograms. PETRA 2014: 4:1-4:4 - [c22]Lars Asker, Henrik Boström, Isak Karlsson, Panagiotis Papapetrou, Jing Zhao:
Mining candidates for adverse drug interactions in electronic patient records. PETRA 2014: 22:1-22:4 - [c21]Mohammad Tareq Jaber, Peter T. Wood, Panagiotis Papapetrou, Sven Helmer:
Inferring offline hierarchical ties from online social networks. WWW (Companion Volume) 2014: 1261-1266 - 2013
- [c20]Thidawan Klaysri, Trevor I. Fenner, Oded Lachish, Mark Levene, Panagiotis Papapetrou:
Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks. IDA 2013: 261-272 - [c19]Alexios Kotsifakos, Evangelos E. Kotsifakos, Panagiotis Papapetrou, Vassilis Athitsos:
Genre classification of symbolic music with SMBGT. PETRA 2013: 44:1-44:7 - [c18]Alexios Kotsifakos, Panagiotis Papapetrou, Vassilis Athitsos:
IBSM: Interval-Based Sequence Matching. SDM 2013: 596-604 - 2012
- [j6]Panagiotis Papapetrou, Gary Benson, George Kollios:
Mining poly-regions in DNA. Int. J. Data Min. Bioinform. 6(4): 406-428 (2012) - [j5]Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos, Vassilis Athitsos, George Kollios:
Hum-a-song: A Subsequence Matching with Gaps-Range-Tolerances Query-By-Humming System. Proc. VLDB Endow. 5(12): 1930-1933 (2012) - [c17]Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos, Vassilis Athitsos:
A survey of query-by-humming similarity methods. PETRA 2012: 5 - [c16]Panagiotis Papapetrou, Tatiana Chistiakova, Jaakko Hollmén, Vana Kalogeraki, Dimitrios Gunopulos:
Finding representative objects using link analysis ranking. PETRA 2012: 6 - [c15]Konstantinos Georgatzis, Panagiotis Papapetrou:
Benchmarking link analysis ranking methods in assistive environments. PETRA 2012: 45 - [c14]Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki:
Size Matters: Finding the Most Informative Set of Window Lengths. ECML/PKDD (2) 2012: 451-466 - 2011
- [j4]Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos:
A Subsequence Matching with Gaps-Range-Tolerances Framework: A Query-By-Humming Application. Proc. VLDB Endow. 4(11): 761-771 (2011) - [j3]Panagiotis Papapetrou, Vassilis Athitsos, Michalis Potamias, George Kollios, Dimitrios Gunopulos:
Embedding-based subsequence matching in time-series databases. ACM Trans. Database Syst. 36(3): 17:1-17:39 (2011) - [c13]Alexios Kotsifakos, Vassilis Athitsos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos:
Model-based search in large time series databases. PETRA 2011: 36 - [c12]Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén:
Distance measure for querying sequences of temporal intervals. PETRA 2011: 40 - [c11]Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén:
ARTEMIS: Assessing the Similarity of Event-Interval Sequences. ECML/PKDD (2) 2011: 229-244 - [c10]Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila:
Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping. ECML/PKDD (2) 2011: 341-357 - [c9]Panagiotis Papapetrou, Aristides Gionis, Heikki Mannila:
A Shapley Value Approach for Influence Attribution. ECML/PKDD (2) 2011: 549-564 - 2010
- [c8]Kai Puolamäki, Panagiotis Papapetrou, Jefrey Lijffijt:
Visually Controllable Data Mining Methods. ICDM Workshops 2010: 409-417 - [c7]Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén:
Tracking your steps on the track: body sensor recordings of a controlled walking experiment. PETRA 2010 - [c6]Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén, Vassilis Athitsos:
Benchmarking dynamic time warping for music retrieval. PETRA 2010
2000 – 2009
- 2009
- [j2]Panagiotis Papapetrou, George Kollios, Stan Sclaroff, Dimitrios Gunopulos:
Mining frequent arrangements of temporal intervals. Knowl. Inf. Syst. 21(2): 133-171 (2009) - [j1]Panagiotis Papapetrou, Vassilis Athitsos, George Kollios, Dimitrios Gunopulos:
Reference-Based Alignment in Large Sequence Databases. Proc. VLDB Endow. 2(1): 205-216 (2009) - [c5]Panagiotis Papapetrou, Paul Doliotis, Vassilis Athitsos:
Towards faster activity search using embedding-based subsequence matching. PETRA 2009 - 2008
- [c4]Vassilis Athitsos, Michalis Potamias, Panagiotis Papapetrou, George Kollios:
Nearest Neighbor Retrieval Using Distance-Based Hashing. ICDE 2008: 327-336 - [c3]Vassilis Athitsos, Panagiotis Papapetrou, Michalis Potamias, George Kollios, Dimitrios Gunopulos:
Approximate embedding-based subsequence matching of time series. SIGMOD Conference 2008: 365-378 - 2006
- [c2]Panagiotis Papapetrou, Gary Benson, George Kollios:
Discovering Frequent Poly-Regions in DNA Sequences. ICDM Workshops 2006: 94-98 - 2005
- [c1]Panagiotis Papapetrou, George Kollios, Stan Sclaroff, Dimitrios Gunopulos:
Discovering Frequent Arrangements of Temporal Intervals. ICDM 2005: 354-361
Coauthor Index
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