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Panagiotis Symeonidis
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2020 – today
- 2024
- [c46]Panagiotis Symeonidis
:
Deep Recommendation using Graphs. RecSys 2024: 1270-1271 - 2023
- [c45]Panagiotis Symeonidis, Grigorios Manitaras, Markus Zanker:
Accurate and Safe Drug Recommendations based on Singular Value Decomposition. CBMS 2023: 163-168 - [c44]Panagiotis Symeonidis, Luca Bellinazzi, ChemsEddine Berbague, Markus Zanker:
Safe and Effective Recommendation of Drug Combinations based on Matrix Co-Factorization. CBMS 2023: 634-639 - [c43]G. Terzoglou, M. Loufakis, Panagiotis Symeonidis
Employing deep learning framework for improving solar panel defects using drone imagery. DSP 2023: 1-5 - 2022
- [j34]ChemsEddine Berbague, Hassina Seridi-Bouchelaghem, Nour El Islem Karabadji, Panagiotis Symeonidis, Markus Zanker:
An evolutionary-based approach for providing accurate and novel recommendations. Int. J. Bus. Intell. Data Min. 21(2): 129-148 (2022) - [j33]Panagiotis Symeonidis
Sequence-aware news recommendations by combining intra- with inter-session user information. Inf. Retr. J. 25(4): 461-480 (2022) - [j32]Yong Zheng
JIIS preface for the special issue on advances in recommender systems. J. Intell. Inf. Syst. 58(2): 223-225 (2022) - [j31]Panagiotis Symeonidis
Safe, effective and explainable drug recommendation based on medical data integration. User Model. User Adapt. Interact. 32(5): 999-1018 (2022) - [c42]Panagiotis Symeonidis, Theodoros Kostoulas, Vasiliki Danilatou, Christos Andras, Stergios Chairistanidis:
Mortality Prediction and Safe Drug Recommendation for Critically-ill Patients. BIBE 2022: 79-84 - [c41]Panagiotis Symeonidis, Stergios Chairistanidis, Markus Zanker:
Deep Reinforcement Learning for Medicine Recommendation. BIBE 2022: 85-90 - [c40]Panagiotis Symeonidis
Session-Based Recommendation Along with the Session Style of Explanation. ECML/PKDD (1) 2022: 404-420 - 2021
- [j30]ChemsEddine Berbague, Nour El Islem Karabadji, Hassina Seridi, Panagiotis Symeonidis, Yannis Manolopoulos, Wajdi Dhifli
An overlapping clustering approach for precision, diversity and novelty-aware recommendations. Expert Syst. Appl. 177: 114917 (2021) - [j29]Panagiotis Symeonidis, Lidija Kirjackaja, Markus Zanker:
Session-based news recommendations using SimRank on multi-modal graphs. Expert Syst. Appl. 180: 115028 (2021) - [c39]Panagiotis Symeonidis, Christos Andras, Markus Zanker:
Treatment Recommendations for COVID-19 Patients along with Robust Explanations. CBMS 2021: 207-212 - [c38]Panagiotis Symeonidis, Stergios Chairistanidis, Markus Zanker:
Recommending What Drug to Prescribe Next for Accurate and Explainable Medical Decisions. CBMS 2021: 213-218 - [c37]Panagiotis Symeonidis
News Recommendations by Combining Intra-session with Inter-session and Content-Based Probabilistic Modelling. ICCCI 2021: 154-166 - [c36]Panagiotis Symeonidis
Similarity Search, Recommendation and Explainability over Graphs in Different Domains: Social Media, News, and Health Industry. ICWE 2021: 537-541 - 2020
- [j28]Makbule Gulcin Ozsoy
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks. IEEE Access 8: 181835-181847 (2020) - [j27]Panagiotis Symeonidis, Lidija Kirjackaja, Markus Zanker:
Session-aware news recommendations using random walks on time-evolving heterogeneous information networks. User Model. User Adapt. Interact. 30(4): 727-755 (2020) - [c35]Panagiotis Symeonidis
ThermiAir: an innovative air quality monitoring system for airborne particulate matter in Thermi, Greece. ICEGOV 2020: 775-778 - [c34]Panagiotis Symeonidis, Andrea Janes, Dmitry Chaltsev
Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de. RecSys 2020: 299-308
2010 – 2019
- 2019
- [j26]Ludovik Coba
Personalised novel and explainable matrix factorisation. Data Knowl. Eng. 122: 142-158 (2019) - [j25]Michail Vaitis
Development of a spatial database and web-GIS for the climate of Greece. Earth Sci. Informatics 12(1): 97-115 (2019) - [j24]Panagiotis Symeonidis
Multi-modal matrix factorization with side information for recommending massive open online courses. Expert Syst. Appl. 118: 261-271 (2019) - [j23]Panagiotis Symeonidis, Ludovik Coba
Counteracting the filter bubble in recommender systems: Novelty-aware matrix factorization. Intelligenza Artificiale 13(1): 37-47 (2019) - [j22]Panagiotis Symeonidis
Improving Time-Aware Recommendations in Open Source Packages. Int. J. Artif. Intell. Tools 28(6): 1960007:1-1960007:21 (2019) - [j21]Panagiotis Symeonidis, Stergios Chairistanidis:
OmniRank: learning to recommend based on omni-traversal of heterogeneous graphs. Soc. Netw. Anal. Min. 9(1): 39:1-39:13 (2019) - [c33]Ludovik Coba
Decision making strategies differ in the presence of collaborative explanations: two conjoint studies. IUI 2019: 291-302 - [c32]Erika Duriakova, Elias Z. Tragos, Barry Smyth, Neil Hurley, Francisco J. Peña, Panagiotis Symeonidis, James Geraci, Aonghus Lawlor
PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy. RecSys 2019: 457-461 - [i3]Ludovik Coba, Panagiotis Symeonidis, Markus Zanker:
Personalised novel and explainable matrix factorisation. CoRR abs/1907.11000 (2019) - 2018
- [j20]Pavlos Kefalas
Recommendations based on a heterogeneous spatio-temporal social network. World Wide Web 21(2): 345-371 (2018) - [c31]Ludovik Coba
Novelty-Aware Matrix Factorization Based on Items' Popularity. AI*IA 2018: 516-527 - [c30]Ludovik Coba
Exploring Users' Perception of Rating Summary Statistics. UMAP 2018: 353-354 - [c29]Ludovik Coba
Exploring Users' Perception of Collaborative Explanation Styles. CBI (1) 2018: 70-78 - [c28]Ludovik Coba
Replicating and Improving Top-N Recommendations in Open Source Packages. WIMS 2018: 40:1-40:7 - [c27]Gabriele Sottocornola, Panagiotis Symeonidis, Markus Zanker:
Session-based News Recommendations. WWW (Companion Volume) 2018: 1395-1399 - [p2]Panagiotis Symeonidis, Dimitrios Malakoudis:
MoocRec.com: Massive Open Online Courses Recommender System. Collaborative Recommendations 2018: 627-651 - [i2]Ludovik Coba, Markus Zanker, Laurens Rook, Panagiotis Symeonidis:
Exploring Users' Perception of Collaborative Explanation Styles. CoRR abs/1805.00977 (2018) - [i1]Ludovik Coba, Markus Zanker, Laurens Rook, Panagiotis Symeonidis:
Decision Making of Maximizers and Satisficers Based on Collaborative Explanations. CoRR abs/1805.11537 (2018) - 2017
- [c26]Ludovik Çoba, Panagiotis Symeonidis, Markus Zanker:
Reproducing and Prototyping Recommender Systems in R. IIR 2017: 84-91 - [c25]Panagiotis Symeonidis, Stergios Chairistanidis:
CheckInShop.eu: A Sensor-based Recommender System for micro-location Marketing. RecSys 2017: 351-352 - [c24]Ludovik Çoba
Visual Analysis of Recommendation Performance. RecSys 2017: 362-363 - 2016
- [b3]Panagiotis Symeonidis, Andreas Zioupos:
Matrix and Tensor Factorization Techniques for Recommender Systems. Springer Briefs in Computer Science, Springer 2016, ISBN 978-3-319-41356-3, pp. 3-102 - [j19]Pavlos Kefalas
A Graph-Based Taxonomy of Recommendation Algorithms and Systems in LBSNs. IEEE Trans. Knowl. Data Eng. 28(3): 604-622 (2016) - [j18]Panagiotis Symeonidis
ClustHOSVD: Item Recommendation by Combining Semantically Enhanced Tag Clustering With Tensor HOSVD. IEEE Trans. Syst. Man Cybern. Syst. 46(9): 1240-1251 (2016) - [c23]Panagiotis Symeonidis
Matrix and Tensor Decomposition in Recommender Systems. RecSys 2016: 429-430 - [c22]Panagiotis Symeonidis, Dimitrios Malakoudis:
MoocRec.com : Massive Open Online Courses Recommender System. RecSys Posters 2016 - 2015
- [j17]Zaigham Faraz Siddiqui, Eleftherios Tiakas, Panagiotis Symeonidis
Learning Relational User Profiles and Recommending Items as Their Preferences Change. Int. J. Artif. Intell. Tools 24(2): 1540009:1-1540009:31 (2015) - [j16]Masoud Sattari, Ismail Hakki Toroslu
Extended feature combination model for recommendations in location-based mobile services. Knowl. Inf. Syst. 44(3): 629-661 (2015) - [c21]Pavlos Kefalas
Recommending Friends and Locations over a Heterogeneous Spatio-Temporal Graph. MEDI 2015: 271-284 - 2014
- [b2]Panagiotis Symeonidis, Dimitrios Ntempos, Yannis Manolopoulos:
Recommender Systems for Location-based Social Networks. Springer Briefs in Electrical and Computer Engineering, Springer 2014, ISBN 978-1-4939-0285-9, pp. i-v, 1-108 - [j15]Panagiotis Symeonidis
Transitive node similarity: predicting and recommending links in signed social networks. World Wide Web 17(4): 743-776 (2014) - [c20]Panagiotis Symeonidis
Link Prediction in Multi-modal Social Networks. ECML/PKDD (3) 2014: 147-162 - [c19]Zaigham Faraz Siddiqui, Eleftherios Tiakas, Panagiotis Symeonidis
xStreams: Recommending Items to Users with Time-evolving Preferences. WIMS 2014: 22:1-22:12 - 2013
- [j14]Panagiotis Symeonidis
From biological to social networks: Link prediction based on multi-way spectral clustering. Data Knowl. Eng. 87: 226-242 (2013) - [j13]Panagiotis Symeonidis, Eleftherios Tiakas, Yannis Manolopoulos:
A unified framework for link and rating prediction in multi-modal social networks. Int. J. Soc. Netw. Min. 1(3/4): 225-253 (2013) - [j12]Pantelis Longinidis
Corporate dividend Policy Determinants: Intelligent versus a Traditional Approach. Intell. Syst. Account. Finance Manag. 20(2): 111-139 (2013) - [j11]Panagiotis Symeonidis
Spectral clustering for link prediction in social networks with positive and negative links. Soc. Netw. Anal. Min. 3(4): 1433-1447 (2013) - [c18]Panagiotis Symeonidis
GeoSocialRec: Explaining Recommendations in Location-Based Social Networks. ADBIS 2013: 84-97 - [c17]Pavlos Kefalas
New perspectives for recommendations in location-based social networks: time, privacy and explainability. MEDES 2013: 1-8 - 2012
- [b1]Leandro Balby Marinho, Andreas Hotho, Robert Jäschke
Recommender Systems for Social Tagging Systems. Springer Briefs in Electrical and Computer Engineering, Springer 2012, ISBN 978-1-4614-1893-1, pp. i-ix, 1-111 - [j10]Alexis Papadimitriou, Panagiotis Symeonidis
A generalized taxonomy of explanations styles for traditional and social recommender systems. Data Min. Knowl. Discov. 24(3): 555-583 (2012) - [j9]Aristeidis K. Georgoulias
AMFIC-WSDB: A web database for hosting and easy retrieval of atmospheric data from satellites. Comput. Geosci. 48: 57-66 (2012) - [j8]Alexis Papadimitriou, Panagiotis Symeonidis
Fast and accurate link prediction in social networking systems. J. Syst. Softw. 85(9): 2119-2132 (2012) - [c16]Panagiotis Symeonidis
Text Classification by Aggregation of SVD Eigenvectors. ADBIS 2012: 385-398 - [c15]Masoud Sattari, Murat Manguoglu, Ismail H. Toroslu
Geo-activity recommendations by using improved feature combination. UbiComp 2012: 996-1003 - [c14]Alexis Papadimitriou, Panagiotis Symeonidis
Scalable Link Prediction in Social Networks Based on Local Graph Characteristics. ITNG 2012: 738-743 - 2011
- [c13]Alexis Papadimitriou, Panagiotis Symeonidis
Friendlink: Link prediction in social networks via bounded local path traversal. CASoN 2011: 66-71 - [c12]Panagiotis Symeonidis
Geo-social recommendations based on incremental tensor reduction and local path traversal. GIS-LBSN 2011: 89-96 - [c11]Panagiotis Symeonidis
Product recommendation and rating prediction based on multi-modal social networks. RecSys 2011: 61-68 - [p1]Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert Jäschke
Social Tagging Recommender Systems. Recommender Systems Handbook 2011: 615-644 - 2010
- [j7]Anastasia Deligiaouri, Panagiotis Symeonidis:
"YouTube Debate": A New Era of Internetized Television Politics? Int. J. E Politics 1(2): 46-64 (2010) - [j6]Alexandros Nanopoulos, Dimitrios Rafailidis
MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags. IEEE Trans. Speech Audio Process. 18(2): 407-412 (2010) - [j5]Panagiotis Symeonidis
A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis. IEEE Trans. Knowl. Data Eng. 22(2): 179-192 (2010) - [c10]Panagiotis Symeonidis
Transitive node similarity for link prediction in social networks with positive and negative links. RecSys 2010: 183-190
2000 – 2009
- 2009
- [c9]Panagiotis Symeonidis
User Recommendations based on Tensor Dimensionality Reduction. AIAI 2009: 331-340 - [c8]Panagiotis Symeonidis
MoviExplain: a recommender system with explanations. RecSys 2009: 317-320 - 2008
- [j4]Panagiotis Symeonidis
Collaborative recommender systems: Combining effectiveness and efficiency. Expert Syst. Appl. 34(4): 2995-3013 (2008) - [j3]Panagiotis Symeonidis
Nearest-biclusters collaborative filtering based on constant and coherent values. Inf. Retr. 11(1): 51-75 (2008) - [j2]Panagiotis Symeonidis
Providing Justifications in Recommender Systems. IEEE Trans. Syst. Man Cybern. Part A 38(6): 1262-1272 (2008) - [c7]Panagiotis Symeonidis, Maria M. Ruxanda, Alexandros Nanopoulos, Yannis Manolopoulos:
Ternary Semantic Analysis of Social Tags for Personalized Music Recommendation. ISMIR 2008: 219-224 - [c6]Panagiotis Symeonidis
Tag recommendations based on tensor dimensionality reduction. RecSys 2008: 43-50 - 2007
- [c5]Panagiotis Symeonidis:
Content-based Dimensionality Reduction for Recommender Systems. GfKl 2007: 619-626 - [c4]Panagiotis Symeonidis, Alexandros Nanopoulos, Yannis Manolopoulos:
Feature-Weighted User Model for Recommender Systems. User Modeling 2007: 97-106 - 2006
- [c3]Panagiotis Symeonidis, Alexandros Nanopoulos, Apostolos Papadopoulos, Yannis Manolopoulos:
Collaborative Filtering Based on User Trends. GfKl 2006: 375-382 - [c2]Panagiotis Symeonidis
Collaborative Filtering Process in a Whole New Light. IDEAS 2006: 29-36 - [c1]Panagiotis Symeonidis, Alexandros Nanopoulos, Apostolos Papadopoulos, Yannis Manolopoulos:
Nearest-Biclusters Collaborative Filtering with Constant Values. WEBKDD 2006: 36-55 - 2004
- [j1]Panagiotis Symeonidis
Development of an emission inventory system from transport in Greece. Environ. Model. Softw. 19(4): 413-421 (2004)
Coauthor Index
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