Ioannis Kontopoulos

Orcid: 0000-0001-9862-8944

According to our database1, Ioannis Kontopoulos authored at least 25 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
TraClets: A trajectory representation and classification library.
SoftwareX, February, 2023

Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study.
Int. J. Inf. Manag. Data Insights, 2023

An evaluation of time series forecasting models on water consumption data: A case study of Greece.
CoRR, 2023

Multi-Service Demand Forecasting Using Graph Neural Networks.
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023

A real-time trajectory classification module.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging issues and Ethical perspectives 2023, 2023

2022
Real-time mobility data analytics: methodologies for efficient anomaly detection and trajectory classification
PhD thesis, 2022

TraClets: Harnessing the power of computer vision for trajectory classification.
CoRR, 2022

Benchmarking moving object functionalities of DBMSs using real-world spatiotemporal workload.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

FRAME 2022: The 2nd Workshop on Flexible Resource and Application Management on the Edge.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021
A Deep Learning Streaming Methodology for Trajectory Classification.
ISPRS Int. J. Geo Inf., 2021

A distributed framework for extracting maritime traffic patterns.
Int. J. Geogr. Inf. Sci., 2021

Building navigation networks from multi-vessel trajectory data.
GeoInformatica, 2021

A Comparison of Trajectory Compression Algorithms Over AIS Data.
IEEE Access, 2021

A computer vision approach for trajectory classification.
Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Semi-supervised trajectory classification using convolutional auto-encoders.
Proceedings of the HANIMOB@SIGSPATIAL 2021: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility, 2021

Data Driven Fleet Monitoring and Circular Economy.
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021

2020
Real-time maritime anomaly detection: detecting intentional AIS switch-off.
Int. J. Big Data Intell., 2020

COVID-19 detection from chest X-Ray images using Deep Learning and Convolutional Neural Networks.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Classification of vessel activity in streaming data.
Proceedings of the 14th ACM International Conference on Distributed and Event-based Systems, 2020

2019
Uncovering Hidden Concepts from AIS Data: A Network Abstraction of Maritime Traffic for Anomaly Detection.
Proceedings of the Multiple-Aspect Analysis of Semantic Trajectories, 2019

2018
A Stream Reasoning System for Maritime Monitoring.
Proceedings of the 25th International Symposium on Temporal Representation and Reasoning, 2018

Composite Event Patterns for Maritime Monitoring.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Countering Real-Time Stream Poisoning: An Architecture for Detecting Vessel Spoofing in Streams of AIS Data.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017
Distributing N-Gram Graphs for Classification.
Proceedings of the New Trends in Databases and Information Systems, 2017

2016
Dynamic graph management for streaming social media analytics.
Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, 2016


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