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ORCIDNikos Kanakaris
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2020 – today
- 2025
[j4]Ilias Siachos
, Nikos Kanakaris, Nikos I. Karacapilidis:
Software bug prediction using graph neural networks and graph-based text representations. Expert Syst. Appl. 259: 125290 (2025)- 2024
- [i3]Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan:
A structure-aware framework for learning device placements on computation graphs. CoRR abs/2405.14185 (2024) - [i2]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - 2023
- [i1]Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR abs/2312.05657 (2023) - 2022
- [j3]Dimitrios Michail, Nikos Kanakaris, Iraklis Varlamis:
Detection of fake news campaigns using graph convolutional networks. Int. J. Inf. Manag. Data Insights 2(2): 100104 (2022) - [c13]Nikos Kanakaris, Nikos I. Karacapilidis:
Predicting prices of Airbnb listings via Graph Neural Networks and Document Embeddings: The case of the island of Santorini. CENTERIS/ProjMAN/HCist 2022: 705-712 - [c12]Nikos Kanakaris, Ilias Siachos, Nikos I. Karacapilidis:
Is it a bug or a feature? Identifying software bugs using graph attention networks. ICTAI 2022: 1425-1429 - 2021
- [j2]Nikos Kanakaris, Nikolaos Giarelis, Ilias Siachos, Nikos I. Karacapilidis:
Shall I Work with Them? A Knowledge Graph-Based Approach for Predicting Future Research Collaborations. Entropy 23(6): 664 (2021) - [c11]Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis:
A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction. AIAI 2021: 635-645 - 2020
- [c10]Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis:
On the Utilization of Structural and Textual Information of a Scientific Knowledge Graph to Discover Future Research Collaborations: A Link Prediction Perspective. DS 2020: 437-450 - [c9]Nikos Kanakaris, Nikos I. Karacapilidis, Georgios Kournetas:
On the Exploitation of Textual Descriptions for a Better-informed Task Assignment Process. ICORES 2020: 304-310 - [c8]Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis:
An Innovative Graph-Based Approach to Advance Feature Selection from Multiple Textual Documents. AIAI (1) 2020: 96-106 - [c7]Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis:
On a Novel Representation of Multiple Textual Documents in a Single Graph. KES-IDT 2020: 105-115
2010 – 2019
- 2019
- [c6]Alexandros Kanterakis, Galateia Iatraki, Konstantina Pityanou, Lefteris Koumakis, Nikos Kanakaris, Nikos I. Karacapilidis, George Potamias:
Towards Reproducible Bioinformatics: The OpenBio-C Scientific Workflow Environment. BIBE 2019: 221-226 - [c5]Nikos Kanakaris, Nikos I. Karacapilidis, Georgios Kournetas, Alexis Lazanas:
Combining Machine Learning and Operations Research Methods to Advance the Project Management Practice. ICORES (Selected Papers) 2019: 135-155 - [c4]Nikos Kanakaris, Nikos I. Karacapilidis, Alexis Lazanas:
On the Advancement of Project Management through a Flexible Integration of Machine Learning and Operations Research Tools. ICORES 2019: 362-369 - 2015
- [c3]Theodore Georgantas, Kostis Vavelidis, Nikos Haralabidis, Stamatis Bouras, Iason Vassiliou, Charalampos Kapnistis, Yiannis Kokolakis, Hamed Peyravi, Gerasimos Theodoratos, Konstantinos S. Vryssas, Nikos Kanakaris, Christos Kokozidis, Spyros Kavvadias, Sofoklis Plevridis, Paul Mudge, Igor Elgorriaga, Aris Kyranas, Spyridon Liolis, Eleni Kytonaki, Giorgos Konstantopoulos, Pavlos Robogiannakis, Kosmas Tsilipanos, Michael Margaras, Panagiotis Betzios, Rahul Magoon, Nias Bouras, Maryam Rofougaran, Reza Rofougaran:
9.1 A 13mm2 40nm multiband GSM/EDGE/HSPA+/TDSCDMA/LTE transceiver. ISSCC 2015: 1-3
2000 – 2009
- 2009
- [c2]Theodoros Chalvatzis, Kostis Vavelidis, Nikos Kanakaris, Iason Vassiliou:
An S-band frontend receiver for mobile TV in 65nm CMOS. ESSCIRC 2009: 192-195 - 2008
- [j1]Iason Vassiliou, Kostis Vavelidis, Nikos Haralabidis, Aris Kyranas, Yiannis Kokolakis, Stamatis Bouras, George Kamoulakos, Charalambos Kapnistis, Spyros Kavadias, Nikos Kanakaris, Emmanouil Metaxakis, Christos Kokozidis, Hamed Peyravi:
A 65 nm CMOS Multistandard, Multiband TV Tuner for Mobile and Multimedia Applications. IEEE J. Solid State Circuits 43(7): 1522-1533 (2008) - 2007
- [c1]Kostis Vavelidis, Iason Vassiliou, Nikos Haralabidis, Aris Kyranas, Yiannis Kokolakis, Stamatis Bouras, George Kamoulakos, Charalampos Kapnistis, Spyros Kavadias, Nikos Kanakaris, Emmanouil Metaxakis, Christos Kokozidis, Hamed Peyravi:
A 65nm CMOS multi-standard, multi-band mobile TV tuner. ESSCIRC 2007: 424-427
Coauthor Index
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