A 65nm CMOS multi-standard, multi-band mobile TV tuner. - Kostis Vavelidis; Iason Vassiliou; Nikos Haralabidis; Aris Kyranas; Yiannis Kokolakis; Stamatis Bouras; George Kamoulakos; Charalampos Kapnistis; Spyros Kavadias; Nikos Kanakaris; Emmanouil Metaxakis; Christos Kokozidis; et al. (ESSCIRC, 2007)

A 65 nm CMOS Multistandard, Multiband TV Tuner for Mobile and Multimedia Applications. - Iason Vassiliou; Kostis Vavelidis; Nikos Haralabidis; Aris Kyranas; Yiannis Kokolakis; Stamatis Bouras; George Kamoulakos; Charalambos Kapnistis; Spyros Kavadias; Nikos Kanakaris; Emmanouil Metaxakis; Christos Kokozidis; et al. (IEEE J. Solid State Circuits, 2008)

An S-band frontend receiver for mobile TV in 65nm CMOS. - Theodoros Chalvatzis; Kostis Vavelidis; Nikos Kanakaris; Iason Vassiliou (ESSCIRC, 2009)

9.1 A 13mm2 40nm multiband GSM/EDGE/HSPA+/TDSCDMA/LTE transceiver. - 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; et al. (ISSCC, 2015)

Towards Reproducible Bioinformatics: The OpenBio-C Scientific Workflow Environment. - Alexandros Kanterakis; Galateia Iatraki; Konstantina Pityanou; Lefteris Koumakis; Nikos Kanakaris; Nikos I. Karacapilidis; George Potamias (BIBE, 2019)

Combining Machine Learning and Operations Research Methods to Advance the Project Management Practice. - Nikos Kanakaris; Nikos I. Karacapilidis; Georgios Kournetas; Alexis Lazanas (ICORES (Selected Papers), 2019)

On the Advancement of Project Management through a Flexible Integration of Machine Learning and Operations Research Tools. - Nikos Kanakaris; Nikos I. Karacapilidis; Alexis Lazanas (ICORES, 2019)

On the Utilization of Structural and Textual Information of a Scientific Knowledge Graph to Discover Future Research Collaborations: A Link Prediction Perspective. - Nikolaos Giarelis; Nikos Kanakaris; Nikos I. Karacapilidis (DS, 2020)

On the Exploitation of Textual Descriptions for a Better-informed Task Assignment Process. - Nikos Kanakaris; Nikos I. Karacapilidis; Georgios Kournetas (ICORES, 2020)

An Innovative Graph-Based Approach to Advance Feature Selection from Multiple Textual Documents. - Nikolaos Giarelis; Nikos Kanakaris; Nikos I. Karacapilidis (AIAI (1), 2020)

On a Novel Representation of Multiple Textual Documents in a Single Graph. - Nikolaos Giarelis; Nikos Kanakaris; Nikos I. Karacapilidis (KES-IDT, 2020)

A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction. - Nikolaos Giarelis; Nikos Kanakaris; Nikos I. Karacapilidis (AIAI, 2021)

Shall I Work with Them? A Knowledge Graph-Based Approach for Predicting Future Research Collaborations. - Nikos Kanakaris; Nikolaos Giarelis; Ilias Siachos; Nikos I. Karacapilidis (Entropy, 2021)

Predicting prices of Airbnb listings via Graph Neural Networks and Document Embeddings: The case of the island of Santorini. - Nikos Kanakaris; Nikos I. Karacapilidis (CENTERIS/ProjMAN/HCist, 2022)

Is it a bug or a feature? Identifying software bugs using graph attention networks. - Nikos Kanakaris; Ilias Siachos; Nikos I. Karacapilidis (ICTAI, 2022)

Detection of fake news campaigns using graph convolutional networks. - Dimitrios Michail 001; Nikos Kanakaris; Iraklis Varlamis (Int. J. Inf. Manag. Data Insights, 2022)

Leveraging Open Innovation Practices Through a Novel ICT Platform. - Emmanuel Adamides; Nikolaos Giarelis; Nikos Kanakaris; Nikos I. Karacapilidis; Konstantinos Konstantinopoulos; Ilias Siachos (KES-HCIS, 2023)

Leveraging Reinforcement Learning and Large Language Models for Code Optimization. - Shukai Duan 002; Nikos Kanakaris; Xiongye Xiao; Heng Ping; Chenyu Zhou; Nesreen K. Ahmed; Guixiang Ma; Mihai Capota; Theodore L. Willke; Shahin Nazarian; Paul Bogdan (CoRR, 2023)

A Structure-Aware Framework for Learning Device Placements on Computation Graphs. - Shukai Duan 002; Heng Ping; Nikos Kanakaris; Xiongye Xiao; Panagiotis Kyriakis; Nesreen K. Ahmed; Peiyu Zhang 002; Guixiang Ma; Mihai Capota; Shahin Nazarian; Theodore L. Willke; Paul Bogdan (NeurIPS, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - 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; et al. (CoRR, 2024)

Controllable Generative Model for Brain Evolution. - Gengshuo Liu; Nikhil N. Chaudhari; Nikos Kanakaris; Chenzhong Yin; Paul Bogdan; Andrei Irimia (ICASSP, 2025)

Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. - Yao Xiao; Nikos Kanakaris; Anzhe Cheng; Chenzhong Yin; Nesreen K. Ahmed; Shahin Nazarian; Andrei Irimia; Paul Bogdan (ICASSP, 2025)

Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models. - Xiongye Xiao; Heng Ping; Chenyu Zhou; Defu Cao; Yaxing Li; Yizhuo Zhou; Shixuan Li; Nikos Kanakaris; Paul Bogdan (ICLR, 2025)

Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance. - Nikos Kanakaris; Heng Ping; Xiongye Xiao; Nesreen K. Ahmed; Luca Luceri; Emilio Ferrara; Paul Bogdan (WWW (Companion Volume), 2025)

Software bug prediction using graph neural networks and graph-based text representations. - Ilias Siachos; Nikos Kanakaris; Nikos I. Karacapilidis (Expert Syst. Appl., 2025)

Personalized Graph-Based Retrieval for Large Language Models. - Steven Au; Cameron J. Dimacali; Ojasmitha Pedirappagari; Namyong Park; Franck Dernoncourt; Yu Wang 160; Nikos Kanakaris; Hanieh Deilamsalehy; Ryan A. Rossi; Nesreen K. Ahmed (CoRR, 2025)

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL. - Heng Ping; Shixuan Li; Peiyu Zhang 002; Anzhe Cheng; Shukai Duan 002; Nikos Kanakaris; Xiongye Xiao; Wei Yang; Shahin Nazarian; Andrei Irimia; Paul Bogdan (CoRR, 2025)

ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation). - Alejandro Ariza-Casabona; Nikos Kanakaris; Daniele Malitesta (CoRR, 2025)

H2GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs. - Trung-Kien Nguyen; Heng Ping; Shixuan Li; Peiyu Zhang; Nikos Kanakaris; Nicholas A. Kotov; Paul Bogdan (CoRR, 2025)