Pavlos Kefalas

According to our database, Pavlos Kefalas authored at least 19 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

PRM-KGED: paper recommender model using knowledge graph embedding and deep neural network.

Nimbeshaho Thierry, Bing-Kun Bao, Zafar Ali, Zhiyi Tan, Ingabire Batamira Christ Chatelain, Pavlos Kefalas

Appl. Intell., December, 2023

On the current state of deep learning for news recommendation.

Nabila Amir, Fouzia Jabeen, Zafar Ali, Irfan Ullah, Asim Ullah Jan, Pavlos Kefalas

Artif. Intell. Rev., February, 2023

2022

Software defect prediction employing BiLSTM and BERT-based semantic feature.

Md Nasir Uddin, Bixin Li, Zafar Ali, Pavlos Kefalas, Inayat Khan, Islam Zada

Soft Comput., 2022

SPR-SMN: scientific paper recommendation employing SPECTER with memory network.

Zafar Ali, Guilin Qi, Pavlos Kefalas, Shah Khusro, Inayat Khan, Khan Muhammad

Scientometrics, 2022

2021

RELINE: point-of-interest recommendations using multiple network embeddings.

Giannis Christoforidis, Pavlos Kefalas, Apostolos N. Papadopoulos, Yannis Manolopoulos

Knowl. Inf. Syst., 2021

Global citation recommendation employing generative adversarial network.

Zafar Ali, Guilin Qi, Khan Muhammad, Pavlos Kefalas, Shah Khusro

Expert Syst. Appl., 2021

2020

Deep learning in citation recommendation models survey.

Zafar Ali, Pavlos Kefalas, Khan Muhammad, Bahadar Ali, Muhammad Imran

Expert Syst. Appl., 2020

A graph-based taxonomy of citation recommendation models.

Zafar Ali, Guilin Qi, Pavlos Kefalas, Waheed Ahmad Abro, Bahadar Ali

Artif. Intell. Rev., 2020

2019

Recommending Points of Interest in LBSNs Using Deep Learning Techniques.

Giannis Christoforidis, Pavlos Kefalas, Apostolos N. Papadopoulos, Yannis Manolopoulos

Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

2018

Recommendations based on a heterogeneous spatio-temporal social network.

Pavlos Kefalas, Panagiotis Symeonidis, Yannis Manolopoulos

World Wide Web, 2018

Recommendation of Points-of-Interest Using Graph Embeddings.

Giannis Christoforidis, Pavlos Kefalas, Apostolos Papadopoulos, Yannis Manolopoulos

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

Recommendation models for dynamic spatiotemporal big data

Pavlos Kefalas

PhD thesis, 2017

Preference dynamics with multimodal user-item interactions in social media recommendation.

Dimitrios Rafailidis, Pavlos Kefalas, Yannis Manolopoulos

Expert Syst. Appl., 2017

A time-aware spatio-textual recommender system.

Pavlos Kefalas, Yannis Manolopoulos

Expert Syst. Appl., 2017

2016

A Graph-Based Taxonomy of Recommendation Algorithms and Systems in LBSNs.

Pavlos Kefalas, Panagiotis Symeonidis, Yannis Manolopoulos

IEEE Trans. Knowl. Data Eng., 2016

2015

Recommending Friends and Locations over a Heterogeneous Spatio-Temporal Graph.

Pavlos Kefalas, Panagiotis Symeonidis

Proceedings of the Model and Data Engineering - 5th International Conference, 2015

2014

Advances in Algorithms for Time-Dependent Recommender Systems.

Pavlos Kefalas, Yannis Manolopoulos

Proceedings of the 9th International Workshop on Semantic and Social Media Adaptation and Personalization, 2014

2013

New perspectives for recommendations in location-based social networks: time, privacy and explainability.

Pavlos Kefalas, Panagiotis Symeonidis, Yannis Manolopoulos

Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems, 2013

2011

A tool for access to relational databases in natural language.

Nikos Papadakis, Pavlos Kefalas, Manolis Stilianakakis

Expert Syst. Appl., 2011