Nikos Kanakaris

Orcid: 0000-0001-9352-5807

According to our database1, Nikos Kanakaris authored at least 20 papers between 2007 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Software bug prediction using graph neural networks and graph-based text representations.
Expert Syst. Appl., 2025

2024
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR, 2024

A structure-aware framework for learning device placements on computation graphs.
CoRR, 2024

2023
Leveraging Reinforcement Learning and Large Language Models for Code Optimization.
CoRR, 2023

2022
Detection of fake news campaigns using graph convolutional networks.
Int. J. Inf. Manag. Data Insights, 2022

Is it a bug or a feature? Identifying software bugs using graph attention networks.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Predicting prices of Airbnb listings via Graph Neural Networks and Document Embeddings: The case of the island of Santorini.
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

2021
Shall I Work with Them? A Knowledge Graph-Based Approach for Predicting Future Research Collaborations.
Entropy, 2021

A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2020
On a Novel Representation of Multiple Textual Documents in a Single Graph.
Proceedings of the Intelligent Decision Technologies, 2020

An Innovative Graph-Based Approach to Advance Feature Selection from Multiple Textual Documents.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

On the Exploitation of Textual Descriptions for a Better-informed Task Assignment Process.
Proceedings of the 9th International Conference on Operations Research and Enterprise Systems, 2020

On the Utilization of Structural and Textual Information of a Scientific Knowledge Graph to Discover Future Research Collaborations: A Link Prediction Perspective.
Proceedings of the Discovery Science - 23rd International Conference, 2020

2019
On the Advancement of Project Management through a Flexible Integration of Machine Learning and Operations Research Tools.
Proceedings of the 8th International Conference on Operations Research and Enterprise Systems, 2019

Combining Machine Learning and Operations Research Methods to Advance the Project Management Practice.
Proceedings of the Operations Research and Enterprise Systems, 2019

Towards Reproducible Bioinformatics: The OpenBio-C Scientific Workflow Environment.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2015

2009
An S-band frontend receiver for mobile TV in 65nm CMOS.
Proceedings of the 35th European Solid-State Circuits Conference, 2009

2008
A 65 nm CMOS Multistandard, Multiband TV Tuner for Mobile and Multimedia Applications.
IEEE J. Solid State Circuits, 2008

2007
A 65nm CMOS multi-standard, multi-band mobile TV tuner.
Proceedings of the 33rd European Solid-State Circuits Conference, 2007


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