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Pavlos Kefalas
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2020 – today
- 2024
- [j14]Muhammad Asif Khan
, Bhuyan Kaibalya Prasad, Guilin Qi, Wei Song, Fanghua Ye, Zafar Ali, Irfan Ullah, Pavlos Kefalas:
UTMGAT: a unified transformer with memory encoder and graph attention networks for multidomain dialogue state tracking. Appl. Intell. 54(17-18): 8347-8366 (2024) - [c8]Abdul Aziz, Zafar Ali, Guilin Qi, Yi Huang, Pavlos Kefalas, Aminullah, Asad Ali:
Leverage Diagnosis Intensity in Medication Recommendations. ICIC (LNAI 6) 2024: 38-50 - [c7]Zafar Ali
GLAMOR: Graph-based LAnguage MOdel embedding for citation Recommendation. RecSys 2024: 929-933 - 2023
- [j13]Nabila Amir, Fouzia Jabeen
On the current state of deep learning for news recommendation. Artif. Intell. Rev. 56(2): 1101-1144 (2023) - [j12]Nimbeshaho Thierry
PRM-KGED: paper recommender model using knowledge graph embedding and deep neural network. Appl. Intell. 53(24): 30482-30496 (2023) - [c6]Zafar Ali, Irfan Ullah, Pavlos Kefalas
Citation Recommendation Employing Proximity-Based Heterogeneous Network Embeddings. IntelliSys (1) 2023: 477-495 - 2022
- [j11]Zafar Ali
SPR-SMN: scientific paper recommendation employing SPECTER with memory network. Scientometrics 127(11): 6763-6785 (2022) - [j10]Md Nasir Uddin
Software defect prediction employing BiLSTM and BERT-based semantic feature. Soft Comput. 26(16): 7877-7891 (2022) - 2021
- [j9]Zafar Ali, Guilin Qi, Khan Muhammad
Global citation recommendation employing generative adversarial network. Expert Syst. Appl. 180: 114888 (2021) - [j8]Giannis Christoforidis
RELINE: point-of-interest recommendations using multiple network embeddings. Knowl. Inf. Syst. 63(4): 791-817 (2021) - 2020
- [j7]Zafar Ali
A graph-based taxonomy of citation recommendation models. Artif. Intell. Rev. 53(7): 5217-5260 (2020) - [j6]Zafar Ali
Deep learning in citation recommendation models survey. Expert Syst. Appl. 162: 113790 (2020)
2010 – 2019
- 2019
- [c5]Giannis Christoforidis, Pavlos Kefalas
Recommending Points of Interest in LBSNs Using Deep Learning Techniques. INISTA 2019: 1-6 - [i1]Giannis Christoforidis, Pavlos Kefalas, Apostolos N. Papadopoulos, Yannis Manolopoulos:
RELINE: Point-of-Interest Recommendations using Multiple Network Embeddings. CoRR abs/1902.00773 (2019) - 2018
- [j5]Pavlos Kefalas
Recommendations based on a heterogeneous spatio-temporal social network. World Wide Web 21(2): 345-371 (2018) - [c4]Giannis Christoforidis, Pavlos Kefalas
Recommendation of Points-of-Interest Using Graph Embeddings. DSAA 2018: 31-40 - 2017
- [b1]Pavlos Kefalas:
Recommendation models for dynamic spatiotemporal big data. Aristotle University Of Thessaloniki, Greece, 2017 - [j4]Dimitrios Rafailidis
Preference dynamics with multimodal user-item interactions in social media recommendation. Expert Syst. Appl. 74: 11-18 (2017) - [j3]Pavlos Kefalas
A time-aware spatio-textual recommender system. Expert Syst. Appl. 78: 396-406 (2017) - 2016
- [j2]Pavlos Kefalas
A Graph-Based Taxonomy of Recommendation Algorithms and Systems in LBSNs. IEEE Trans. Knowl. Data Eng. 28(3): 604-622 (2016) - 2015
- [c3]Pavlos Kefalas
Recommending Friends and Locations over a Heterogeneous Spatio-Temporal Graph. MEDI 2015: 271-284 - 2014
- [c2]Pavlos Kefalas
Advances in Algorithms for Time-Dependent Recommender Systems. SMAP 2014: 38-43 - 2013
- [c1]Pavlos Kefalas
New perspectives for recommendations in location-based social networks: time, privacy and explainability. MEDES 2013: 1-8 - 2011
- [j1]Nikos Papadakis, Pavlos Kefalas
A tool for access to relational databases in natural language. Expert Syst. Appl. 38(6): 7894-7900 (2011)
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