Publications

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Published Scientific Papers

Journals

2018 

Vinicius Monteiro de Lira, Raffaele Perego, Chiara Renso, Salvatore Rinzivillo, Valéria Cesário Times Boosting Ride Sharing with Alternative Destinations IEEE Trans. Intelligent Transportation Systems 19(7), 2290-2300 (2018)

M. Brahem, K. Zeitouni, and L. Yeh. ASTROIDE: A unified astronomical big data processing engine over spark. IEEE Transactions on Big Data, 2018

2019

Ronaldo dos Santos Mello, Vania Bogorny, Luis Otavio Alvares, Luiz H. Z. Santana, Carlos Andres Ferrero, Angelo Augusto Frozza, Geomar Andre Schreiner, Chiara Renso. MASTER: A Multiple Aspect View on Trajectories. Transactions in GIS. First published: 09 May 2019 https://doi.org/10.1111/tgis.12526

2020

 P. Tampakis, C. Doulkeridis, N. Pelekis, Y.  Theodoridis: “Distributed Subtrajectory Join on Massive Datasets”, ACM Transactions on Spatial Algorithms and Systems, to appear. 

Leopoldo Melo Junior; Franco Maria Nardini; Chiara Renso; Roberto Trani; José Antônio Fernandes de Macêdo A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems Expert systems with applications 152 (2020). doi:10.1016/j.eswa.2020.113351

Lucas May Petry, Carlos Andres Ferrero, Luis Otavio Alvares, Chiara Renso, Vania Bogorny. Towards semantic‐aware multiple‐aspect trajectory similarity measuring.  Transactions in GIS,  https://doi.org/10.1111/tgis.1254

https://zenodo.org/record/3685667#.YidaLRDMJUM 

Lucas May Petry,Camila Leite Da Silva,Andrea Esuli,Chiara Renso and Vania Bogorny

MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings
Pages 1428-1450 Published online: 03 Jan 2020
International Journal of GIS
Zenodo Link: https://zenodo.org/record/3837432#.YidcjxDMJUM

2021

Emanuele Carlini; Vinicius Monteiro de Lira; Amilcar Soares; Mohammad Etemad; Bruno Brandoli; Stan Matwin
Understanding evolution of maritime networks from automatic identification system data
Geoinformatica (Dordrecht) (2021). doi:10.1007/s10707-021-00451-0

2022

Ana Paula Ramos de Souza, Chiara Renso, Raffaele Perego, Vania Bogorny

MAT-Index: An index for fast multiple aspect trajectory similarity measuring
 Transactions in GIS First published: Januar 2022, https://doi.org/10.1111/tgis.12889
Zenodo Link https://zenodo.org/record/5902276#.YidbZhDMJUM

Lívia Almada Cruz, Ticiana Linhares Coelho da Silva, Régis Pires Magalhães, Wilken Charles Dantas Melo, Matheus Cordeiro, José Antonio Fernandes de Macedo and Karine Zeitouni  Modeling Trajectories Obtained from External Sensors for Location Prediction via NLP Approaches Sensors 2022, 22(19), 7475; https://doi.org/10.3390/s22197475

Kalliopi Spyrou-Sioula,Ioannis Kontopoulos,Dimitrios Kaklis, Antonios Makris, Konstantinos Tserpes, Pavlos Eirinakis and Fotis Oikonomou AIS-Enabled Weather Routing for Cargo Loss Prevention  Journal of Marine Science and Engineering, 2022

Bruno Brandoli, Alessandra Raffaetà, Marta Simeoni, Pedram Adibi, Fateha Khanam Bappee, Fabio Pranovi, Giulia Rovinelli, Elisabetta Russo, Claudio Silvestri, Amilcar Soares and Stan Matwin

From multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea

Geoinformatica  (Springer) 2022 https://doi.org/10.1007/s10707-022-00463-4

2023

Francesco Lettich; Chiara Pugliese; Chiara Renso; Fabio Pinelli
Semantic Enrichment of Mobility Data: A Comprehensive Methodology and the MAT-BUILDER System  IEEE access 11 (2023): 90857–90875. doi:10.1109/ACCESS.2023.3307824

Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes
TraClets: A trajectory representation and classification library SoftwareX  10.1016/j.softx.2023.101306 https://www.sciencedirect.com

Conference, Workshops and other Publications

2018

F. Gryllakis, N. Pelekis, C. Doulkeridis, S. Sideridis Y. Theodoridis:
Spatio-Temporal-Keyword Pattern Queries over Semantic Trajectories with Hermes@Neo4j
Demo paper, Proceedings of the 21st International Conference on Extending Database Technology (EDBT2018), Vienne, Austria, March 2018. Open Proceedings.

Soares Junior A., Times V. C., Renso C. Matwin S. Cabral L. A. F.
A semi-supervised approach for the semantic segmentation of trajectories
19th IEEE International Conference on Mobile Data Management, June 25 – June 28, 2018, AAU, Aalborg, Denmark

Christos Sardianos, Iraklis Varlamis, Grigoris Bouras Extracting user habits from Google maps history logs ASONAM 2018, Barcelona, Spain

Varlamis, I., Tserpes, K., & Sardianos, C. (2018). Detecting Search and Rescue Missions from AIS Data, 2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW), Paris, 2018 (pp. 60-65).

M. Brahem, L. Yeh, K. Zeitouni Efficient astronomical query processing using SPARK. In 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL, 2018

P. Tampakis, N. Pelekis, N. Andrienko, G. Andrienko, G. Fuchs, Y. Theodoridis: Time-aware Sub-Trajectory Clustering in Hermes@PostgreSQL, demo paper, Proceedings of theIEEE 34th International Conference on Data Engineering (ICDE), Paris, France, April 2018. IEEE CPS

P. Nikitopoulos, A.-I. Paraskevopoulos, C. Doulkeridis, N. Pelekis, Y. Theodoridis, Hot Spot Analysis for Big Trajectory Data. Proceedings of the 2018 IEEE Int’l Conference on BIG DATA (BigData2018), Seattle, WA, USA, 2018. IEEE CPS

Andrea Esuli, Lucas May Petry, Chiara Renso, Vania Bogorny.
Traj2User: exploiting embeddings for computing similarity of users mobile behavior
arXiv:1808.00554v2 [cs.SI]

Livia Ruback, Claudio Lucchese, Alexander Arturo Mera Caraballo, Grettel Monteagudo García, Marco Antonio Casanova, Chiara Renso. Computing Entity Semantic Similarity by Features Ranking. ArXiv https://arxiv.org/abs/1811.02516 (2018)

Livia Almada Cruz, Karine Zeitouni and José A. F. de Macedo. Trajectory Prediction from External Sensor Data using Recurrent Neural Networks, International Conference on Big Data and Cyber-Security Intelligence (BDCSIntell), December 13-15, 2018, Beirut, Lebanon.

2019

Jingwei Zuo, Karine Zeitouni and Yehia Taher. Exploring Interpretable Features for Large Time Series with SE4TeC, International Conference on Extending Database Technology (EDBT), March 26-29, 2019, Lisbon, Portugal.

Amílcar Soares, Jordan Rose, Mohammad Etemad, Chiara Renso, Stan Matwin. VISTA: A visual analytics platform for semantic annotation of trajectories. Demo paper at Extended Data Base Technology EDBT 2019, Lisbon, Portugal

H. Georgiou, S. Karagiorgou, Y. Kontolulis, N. Pelekis, P. Petrou, D. Scarlatti, Y. Theodoridis. Moving Objects Analytics: Survey on Future Location & Trajectory Prediction Methods. ArXiv  https://arxiv.org/abs/1807.04639

N. Koutroumanis, G. Santipantakis, A., C. Doulkeridis and G. Vouros.
Integration of Mobility Data with Weather Information. Proceedings of the 2nd Workshop on Big Mobility Data Analytics (BMDA 2019), in conjunction with EDBT 2019, Lisbon, Portugal, 2019.

S. Giotakis, N. Pelekis.
On Preserving Sensitive Information of Multiple Aspect Trajectories In-House. Proceedings of the 1st Workshop on Fairness, Accountability, Transparency, Ethics, and Society on the Web (FATES), in conjunction with The Web Conference 2019, San Francisco, CA, USA, 2019

Varlamis, I., Tserpes, K., Etemad, M., Júnior, A. S., & Matwin, S. (2019). A network abstraction of multi-vessel trajectory data for detecting anomalies. In Proceedings of the 2nd International Workshop on “Big Mobility Data Analytics” at EDBT 2019, Lisbon, Portugal.

Alexandros Kontarinis, Karine Zeitouni, Claudia Marinica, Dan Vodislav, Dimitris Kotzinos. Towards A Semantic Indoor Trajectory Model.  In proceedings of the “2nd International Workshop on Big Mobility Data Analytics” at EDBT 2019, Lisbon, Portugal

Antonios Makris, Konstantinos Tserpes, Giannis Spiliopoulos, Dimosthenis Anagnostopoulos. Performance Evaluation of MongoDB and PostgreSQL for Spatio-temporal Data.  In proceedings of the “2nd International Workshop on Big Mobility Data Analytics” at EDBT 2019, Lisbon, Portugal

Ioannis Kontopoulos, Iraklis Varlamis and Konstantinos Tserpes, Uncovering hidden concepts from AIS data: A network abstraction of maritime traffic for anomaly detection. First International workshop on Multiple Aspects Management and Analysis MASTER 2019 @ ECML-PKDD, Wurzburg, Germany September 16 2019

Pedram Adibi, Fabio Pranovi, Alessandra Raffaetà, Elisabetta Russo, Claudio Silvestri and Marta Simeoni, Amilcar Soares and Stan Matwin Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning First International workshop on Multiple Aspects Management and Analysis MASTER 2019 @ ECML-PKDD, Wurzburg, Germany September 16 2019

Petros Petrou, Panagiotis Tampakis, Harris Georgiou, Nikos Pelekis and Yannis Theodoridis Online long-term trajectory prediction based on mined route patterns First International workshop on Multiple Aspects Management and Analysis MASTER 2019 @ ECML-PKDD, Wurzburg, Germany September 16 2019

Zenodo Link 

https://zenodo.org/record/3678147#.YidehBDMJUM

 

George-Stylianos Theodoropoulos, Andreas Tritsarolis and Yannis Theodoridis EvolvingClusters: Online Discovery of Group Patterns in Enriched Maritime Data First International workshop on Multiple Aspects Management and Analysis MASTER 2019 @ ECML-PKDD, Wurzburg, Germany September 16 2019

Mariem Brahem, Karine Zeitouni, Laurent Yeh and Hafsa El Hafyani Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams  First International workshop on Multiple Aspects Management and Analysis MASTER 2019 @ ECML-PKDD, Wurzburg, Germany September 16 2019

P. Tampakis, C. Doulkeridis, N. Pelekis, Y.  Theodoridis Scalable Distributed Subtrajectory Clustering,
Proceedings of the IEEE Int’l Conference on BIG DATA (BigData2019), Los Angeles, CA, USA, December, 2019. IEEE CPS.

 

 

P. Petrou, P. Nikitopoulos, P. Tampakis, A. Glenis, N. Koutroumanis, G. M. Santipantakis, K. Patroumpas, A. Vlachou, H. Georgiou, E. Chondrodima, C. Doulkeridis, N. Pelekis, G. L. Andrienko, F. Patterson, G. Fuchs, Y. Theodoridis, G. A. Vouros ARGO: A Big Data Framework for Online Trajectory Prediction”, demo paper, Proceedings of the 16th Int’l Symposium on Spatial and Temporal Databases, SSTD’19, Vienna, Austria, August 2019. ACM.

2020

Emanuele Carlini; Vinicius Monteiro de Lira; Amilcar Soares; Mohammad Etemad; Bruno Brandoli Machado; Stan Matwin

Uncovering vessel movement patterns from AIS data with graph evolution analysis

BMDA 2020

Zenodo Link https://zenodo.org/record/3685892#.YideDBDMJUM

 

 

Eleftherios Kofidis

Tensor Methods for Multi-Aspect Trajectory Data Mining

https://hal.science/hal-02639989

2021

Ronaldo Mello;  Geomar André Schreiner; Cristian Alexandre Alchini; Gustavo Goncalves dos Santos;  Vania Bogorny;  Chiara Renso

Dependency Rule Modeling for Multiple Aspects Trajectories

 ER 2021 

Zenodo version: https://zenodo.org/record/5603073#.YidcQBDMJUM

Yuri Santa Rosa Nassar dos Santos, Rafael Santiago, Raffaele Perego, Matheus Henrique Schaly, Luis Otavio Alvares, Chiara Renso, Vania Bogorny

A Co-occurrence Based Approach for Mining Overlapped Co-clusters in Binary Data

BRACIS (1) 2021

Iraklis Varlamis; Christos Sardianos; Vania Bogorny; Lui Otavio Alvares; Jônata Tyska Carvalho; Chiara Renso; Raffaele Perego; John Violos

A novel similarity measure for multiple aspect trajectory clustering 

ACM SAC 2021 

Link to Zenodo https://zenodo.org/record/6337905#.YidtZBDMJUM

Giulia Rovinelli; Stan Matwin; Fabio Pranovi; Elisabetta Russo; Claudio Silvestri; Marta Simeoni; Alessandra Raffaetà;
Multiple aspect trajectories: a case study on fishing vessels in the Northern Adriatic sea

BMDA Workshop 2021 in conjunction with EDBT 2021

2022

Tarlis Tortelli Portela; Vania Bogorny; Anna Bernasconi; Chiara Renso;
AUTOMATISE: Multiple Aspect Trajectory Data Mining Tool Library

23rd International Conference on Mobile Data Management 2022 

Link to Zenodo 

https://zenodo.org/record/7310526#.Y20DAy8w0kg 

Chiara Pugliese; Francesco Lettich; Chiara Renso; Fabio Pinelli
MAT-Builder: a System to Build Semantically Enriched Trajectories

23rd International Conference on Mobile Data Management  2022

 Link to Zenodo: https://zenodo.org/record/7186098#.Y20dPC8w0kg

Cogollos Adrián, Héctor Porras Alfonso, Santiago Baruque Zanón, Bruno Alessandra, Raffaeta’ Filippo, Zanatta Discovery of Tourists’ Movement Patterns in Venice from Public Transport Data ” SAC ’22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (ACMSAC), 10.1145/3477314.3507355

2023

Ioannis Kontopoulos, Antonios Makris, and Konstantinos Tserpes A real-time trajectory classification module  EMODE ’23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023 10.1145/3615885.3628005 https://zenodo.org/records/10551765

Nikolaos Koutroumanis, Christos Doulkeridis, Chiara Renso, Mirco Nanni, Raffaele Perego
TrajParquet: A Trajectory-Oriented Column File Format for Mobility Data Lakes  SIGSPATIAL ’23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems 10.1145/3589132.3625623 https://dl.acm.org/doi/10.1145/3589132.3625623

Yuri Santos, Ricardo Giuliani, Tarlis Portela, Chiara Renso, Jônata Carvalho
MAT-CA: a tool for Multiple Aspect Trajectory Clustering Analysis EMODE ’23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023 10.1145/3615885.3628009

Chiara Pugliese, Francesco Lettich, Fabio Pinelli, Chiara Renso
Summarizing Trajectories Using Semantically Enriched Geographical Context
SIGSPATIAL ’23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems Yes Gold 10.1145/3589132.3625587

Yaksh J. Haranwala, Gabriel Spadon, Chiara Renso, Amilcar Soares
A Data Augmentation Algorithm for Trajectory Data
EMODE ’23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data Yes Gold 10.1145/3615885.3628008

Zaineb Chelly Dagdia; Vania Bogorny Towards a Granular Computing Framework for Multiple Aspect Trajectory Representation and Privacy Preservation: Research Challenges and Opportunities  17th Conference on Computer Science and Intelligence Systems 29 10.15439/2022f282 https://doi.org/10.15439/2022f282