| 2025 | BIBE | Recommending Safe and Effective Drug Combinations with Principal Component Analysis. | Panagiotis Symeonidis, Elias Kontos |
| 2024 | RecSys | Deep Recommendation using Graphs. | Panagiotis Symeonidis |
| 2023 | CBMS | Safe and Effective Recommendation of Drug Combinations based on Matrix Co-Factorization. | Panagiotis Symeonidis, Luca Bellinazzi, ChemsEddine Berbague, Markus Zanker |
| 2023 | CBMS | Accurate and Safe Drug Recommendations based on Singular Value Decomposition. | Panagiotis Symeonidis, Grigorios Manitaras, Markus Zanker |
| 2022 | BIBE | Deep Reinforcement Learning for Medicine Recommendation. | Panagiotis Symeonidis, Stergios Chairistanidis, Markus Zanker |
| 2022 | BIBE | Mortality Prediction and Safe Drug Recommendation for Critically-ill Patients. | Panagiotis Symeonidis, Theodoros Kostoulas, Vasiliki Danilatou, Christos Andras, Stergios Chairistanidis |
| 2021 | CBMS | Treatment Recommendations for COVID-19 Patients along with Robust Explanations. | Panagiotis Symeonidis, Christos Andras, Markus Zanker |
| 2021 | CBMS | Recommending What Drug to Prescribe Next for Accurate and Explainable Medical Decisions. | Panagiotis Symeonidis, Stergios Chairistanidis, Markus Zanker |
| 2021 | ICCCI | News Recommendations by Combining Intra-session with Inter-session and Content-Based Probabilistic Modelling. | Panagiotis Symeonidis, Dmitry Chaltsev, Markus Zanker, Yannis Manolopoulos |
| 2021 | ICWE | Similarity Search, Recommendation and Explainability over Graphs in Different Domains: Social Media, News, and Health Industry. | Panagiotis Symeonidis |
| 2020 | RecSys | Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de. | Panagiotis Symeonidis, Andrea Janes, Dmitry Chaltsev, Philip Giuliani, Daniel Morandini, Andreas Unterhuber, Ludovik Coba, Markus Zanker |
| 2019 | IUI | Decision making strategies differ in the presence of collaborative explanations: two conjoint studies. | Ludovik Coba, Laurens Rook, Markus Zanker, Panagiotis Symeonidis |
| 2019 | RecSys | PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. | Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Pea, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor |
| 2018 | WWW | Session-based News Recommendations. | Gabriele Sottocornola, Panagiotis Symeonidis, Markus Zanker |
| 2017 | RecSys | Visual Analysis of Recommendation Performance. | Ludovik oba, Panagiotis Symeonidis, Markus Zanker |
| 2017 | RecSys | CheckInShop.eu: A Sensor-based Recommender System for micro-location Marketing. | Panagiotis Symeonidis, Stergios Chairistanidis |
| 2016 | RecSys | Matrix and Tensor Decomposition in Recommender Systems. | Panagiotis Symeonidis |
| 2016 | RecSys | MoocRec.com : Massive Open Online Courses Recommender System. | Panagiotis Symeonidis, Dimitrios Malakoudis |
| 2015 | MEDI | Recommending Friends and Locations over a Heterogeneous Spatio-Temporal Graph. | Pavlos Kefalas, Panagiotis Symeonidis |
| 2013 | ADBIS | GeoSocialRec: Explaining Recommendations in Location-Based Social Networks. | Panagiotis Symeonidis, Antonis Krinis, Yannis Manolopoulos |
| 2013 | MEDES | New perspectives for recommendations in location-based social networks: time, privacy and explainability. | Pavlos Kefalas, Panagiotis Symeonidis, Yannis Manolopoulos |
| 2012 | ADBIS | Text Classification by Aggregation of SVD Eigenvectors. | Panagiotis Symeonidis, Ivaylo Kehayov, Yannis Manolopoulos |
| 2011 | RecSys | Product recommendation and rating prediction based on multi-modal social networks. | Panagiotis Symeonidis, Eleftherios Tiakas, Yannis Manolopoulos |
| 2010 | RecSys | Transitive node similarity for link prediction in social networks with positive and negative links. | Panagiotis Symeonidis, Eleftherios Tiakas, Yannis Manolopoulos |
| 2009 | RecSys | MoviExplain: a recommender system with explanations. | Panagiotis Symeonidis, Alexandros Nanopoulos, Yannis Manolopoulos |
| 2008 | RecSys | Tag recommendations based on tensor dimensionality reduction. | Panagiotis Symeonidis, Alexandros Nanopoulos, Yannis Manolopoulos |
| 2006 | IDEAS | Collaborative Filtering Process in a Whole New Light. | Panagiotis Symeonidis, Alexandros Nanopoulos, Apostolos Papadopoulos, Yannis Manolopoulos |
| 2006 | KDD | Nearest-Biclusters Collaborative Filtering with Constant Values. | Panagiotis Symeonidis, Alexandros Nanopoulos, Apostolos Papadopoulos, Yannis Manolopoulos |