A tool for access to relational databases in natural language. - Nikos Papadakis; Pavlos Kefalas; Manolis Stilianakakis (Expert Syst. Appl., 2011)

New perspectives for recommendations in location-based social networks: time, privacy and explainability. - Pavlos Kefalas; Panagiotis Symeonidis; Yannis Manolopoulos (MEDES, 2013)

Advances in Algorithms for Time-Dependent Recommender Systems. - Pavlos Kefalas; Yannis Manolopoulos (SMAP, 2014)

Recommending Friends and Locations over a Heterogeneous Spatio-Temporal Graph. - Pavlos Kefalas; Panagiotis Symeonidis (MEDI, 2015)

A Graph-Based Taxonomy of Recommendation Algorithms and Systems in LBSNs. - Pavlos Kefalas; Panagiotis Symeonidis; Yannis Manolopoulos (IEEE Trans. Knowl. Data Eng., 2016)

A time-aware spatio-textual recommender system. - Pavlos Kefalas; Yannis Manolopoulos (Expert Syst. Appl., 2017)

Preference dynamics with multimodal user-item interactions in social media recommendation. - Dimitrios Rafailidis; Pavlos Kefalas; Yannis Manolopoulos (Expert Syst. Appl., 2017)

Recommendation models for dynamic spatiotemporal big data - Pavlos Kefalas (2017)

Recommendation of Points-of-Interest Using Graph Embeddings. - Giannis Christoforidis; Pavlos Kefalas; Apostolos Papadopoulos; Yannis Manolopoulos (DSAA, 2018)

Recommendations based on a heterogeneous spatio-temporal social network. - Pavlos Kefalas; Panagiotis Symeonidis; Yannis Manolopoulos (World Wide Web, 2018)

Recommending Points of Interest in LBSNs Using Deep Learning Techniques. - Giannis Christoforidis; Pavlos Kefalas; Apostolos N. Papadopoulos; Yannis Manolopoulos (INISTA, 2019)

A graph-based taxonomy of citation recommendation models. - Zafar Ali; Guilin Qi; Pavlos Kefalas; Waheed Ahmad Abro; Bahadar Ali (Artif. Intell. Rev., 2020)

Deep learning in citation recommendation models survey. - Zafar Ali; Pavlos Kefalas; Khan Muhammad 001; Bahadar Ali; Muhammad Imran (Expert Syst. Appl., 2020)

Global citation recommendation employing generative adversarial network. - Zafar Ali; Guilin Qi; Khan Muhammad 001; Pavlos Kefalas; Shah Khusro (Expert Syst. Appl., 2021)

RELINE: point-of-interest recommendations using multiple network embeddings. - Giannis Christoforidis; Pavlos Kefalas; Apostolos N. Papadopoulos; Yannis Manolopoulos (Knowl. Inf. Syst., 2021)

SPR-SMN: scientific paper recommendation employing SPECTER with memory network. - Zafar Ali; Guilin Qi; Pavlos Kefalas; Shah Khusro; Inayat Khan; Khan Muhammad 001 (Scientometrics, 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)

Citation Recommendation Employing Proximity-Based Heterogeneous Network Embeddings. - Zafar Ali; Irfan Ullah 001; Pavlos Kefalas; Nimbeshaho Thierry; Kalim Ul Haq; Anupam Sarkar (IntelliSys (1), 2023)

On the current state of deep learning for news recommendation. - Nabila Amir; Fouzia Jabeen; Zafar Ali; Irfan Ullah 001; Asim Ullah Jan; Pavlos Kefalas (Artif. Intell. Rev., 2023)

PRM-KGED: paper recommender model using knowledge graph embedding and deep neural network. - Nimbeshaho Thierry; Bing-Kun Bao; Zafar Ali; Zhiyi Tan 002; Ingabire Batamira Christ Chatelain; Pavlos Kefalas (Appl. Intell., 2023)

Leverage Diagnosis Intensity in Medication Recommendations. - Abdul Aziz; Zafar Ali; Guilin Qi; Yi Huang; Pavlos Kefalas; Aminullah; Asad Ali (ICIC (LNAI 6), 2024)

GLAMOR: Graph-based LAnguage MOdel embedding for citation Recommendation. - Zafar Ali; Guilin Qi; Irfan Ullah 001; Adam A. Q. Mohammed; Pavlos Kefalas; Khan Muhammad 001 (RecSys, 2024)

UTMGAT: a unified transformer with memory encoder and graph attention networks for multidomain dialogue state tracking. - Muhammad Asif Khan; Bhuyan Kaibalya Prasad; Guilin Qi; Wei Song; Fanghua Ye 001; Zafar Ali; Irfan Ullah 001; Pavlos Kefalas (Appl. Intell., 2024)

Improved paper recommendation model incorporating knowledge graph embedding with IRGAN model. - Nimbeshaho Thierry; Ingabire Batamira Christ Chatelain; Zafar Ali; Pavlos Kefalas (Trans. Recomm. Syst., 2025)