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ORCIDDimitrios Rafailidis
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2020 – today
- 2023
[i17]Eleni Giovanoudi, Dimitrios Rafailidis:
Multi-Task Learning with Loop Specific Attention for CDR Structure Prediction. CoRR abs/2306.13045 (2023)- 2021
- [j23]Stefanos Antaris
, Dimitrios Rafailidis, Sarunas Girdzijauskas:
Knowledge distillation on neural networks for evolving graphs. Soc. Netw. Anal. Min. 11(1): 100 (2021) - [c40]Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
Meta-reinforcement learning via buffering graph signatures for live video streaming events. ASONAM 2021: 385-392 - [c39]Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming. IEEE BigData 2021: 1787-1796 - [c38]Stefanos Antaris, Dimitrios Rafailidis, Romina Arriaza:
Multi-task Learning for User Engagement and Adoption in Live Video Streaming Events. ECML/PKDD (5) 2021: 463-478 - [c37]Stefanos Antaris, Dimitrios Rafailidis:
Sequence Adaptation via Reinforcement Learning in Recommender Systems. RecSys 2021: 714-718 - [i16]Stefanos Antaris, Dimitrios Rafailidis, Romina Arriaza:
Multi-Task Learning for User Engagement and Adoption in Live Video Streaming Events. CoRR abs/2106.10305 (2021) - [i15]Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming. CoRR abs/2107.13619 (2021) - [i14]Stefanos Antaris, Dimitrios Rafailidis:
Sequence Adaptation via Reinforcement Learning in Recommender Systems. CoRR abs/2108.01442 (2021) - [i13]Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
Meta-Reinforcement Learning via Buffering Graph Signatures for Live Video Streaming Events. CoRR abs/2111.09412 (2021) - 2020
- [j22]Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani:
A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation. IEEE Trans. Knowl. Data Eng. 32(6): 1050-1063 (2020) - [c36]Stefanos Antaris, Dimitrios Rafailidis:
Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation. ASONAM 2020: 60-64 - [c35]Stefanos Antaris, Dimitrios Rafailidis:
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions. ASONAM 2020: 486-493 - [c34]Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events. IEEE BigData 2020: 1455-1464 - [i12]Stefanos Antaris, Dimitrios Rafailidis, Mohammad Aliannejadi:
On Estimating the Training Cost of Conversational Recommendation Systems. CoRR abs/2011.05302 (2020) - [i11]Stefanos Antaris, Dimitrios Rafailidis:
Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation. CoRR abs/2011.05664 (2020) - [i10]Stefanos Antaris, Dimitrios Rafailidis:
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions. CoRR abs/2011.05671 (2020) - [i9]Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas:
EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events. CoRR abs/2011.05705 (2020) - [i8]Dimitrios Rafailidis, Stefanos Antaris:
Adaptive Neural Architectures for Recommender Systems. CoRR abs/2012.00743 (2020)
2010 – 2019
- 2019
- [c33]Jarana Manotumruksa, Dimitrios Rafailidis, Craig Macdonald, Iadh Ounis:
On Cross-Domain Transfer in Venue Recommendation. ECIR (1) 2019: 443-456 - [c32]Dimitrios Rafailidis, Fabio Crestani:
Neural Attentive Cross-Domain Recommendation. ICTIR 2019: 165-172 - [c31]Dimitrios Rafailidis, Fabio Crestani:
Adversarial Training for Review-Based Recommendations. SIGIR 2019: 1057-1060 - [c30]Dimitrios Rafailidis:
Bayesian Deep Learning with Trust and Distrust in Recommendation Systems. WI 2019: 18-25 - [c29]Dimitrios Rafailidis, Yannis Manolopoulos:
Can Virtual Assistants Produce Recommendations? WIMS 2019: 4:1-4:6 - [i7]Dimitrios Rafailidis, Yannis Manolopoulos:
The Technological Gap Between Virtual Assistants and Recommendation Systems. CoRR abs/1901.00431 (2019) - [i6]Dimitrios Rafailidis:
Leveraging Trust and Distrust in Recommender Systems via Deep Learning. CoRR abs/1905.13612 (2019) - [i5]Dimitrios Rafailidis, Gerhard Weiss:
A Neural Attention Model for Adaptive Learning of Social Friends' Preferences. CoRR abs/1907.01644 (2019) - [i4]Dimitrios Rafailidis, Gerhard Weiss:
Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering. CoRR abs/1907.01645 (2019) - [i3]Dimitrios Rafailidis:
Cross-Domain Collaborative Filtering via Translation-based Learning. CoRR abs/1908.06169 (2019) - [i2]Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani:
A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation. CoRR abs/1909.07131 (2019) - 2018
- [j21]Dimitrios Rafailidis:
A Multi-Latent Transition model for evolving preferences in recommender systems. Expert Syst. Appl. 104: 97-106 (2018) - [j20]Stefanos Antaris, Dimitrios Rafailidis:
In-Memory Stream Indexing of Massive and Fast Incoming Multimedia Content. IEEE Trans. Big Data 4(1): 40-54 (2018) - [c28]Dimitrios Rafailidis, Fabio Crestani:
Friend Recommendation in Location-Based Social Networks via Deep Pairwise Learning. ASONAM 2018: 421-428 - [c27]Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani:
A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion. ICTIR 2018: 19-26 - [c26]Dimitrios Rafailidis, Fabio Crestani:
GeoDCF: Deep Collaborative Filtering with Multifaceted Contextual Information in Location-Based Social Networks. ECML/PKDD (2) 2018: 709-724 - [i1]Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani:
A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion. CoRR abs/1807.04210 (2018) - 2017
- [j19]Dimitrios Rafailidis, Pavlos Kefalas, Yannis Manolopoulos:
Preference dynamics with multimodal user-item interactions in social media recommendation. Expert Syst. Appl. 74: 11-18 (2017) - [j18]Dimitrios Rafailidis, Eleni Constantinou, Yannis Manolopoulos:
Landmark selection for spectral clustering based on Weighted PageRank. Future Gener. Comput. Syst. 68: 465-472 (2017) - [c25]Dimitrios Rafailidis, Fabio Crestani:
A Collaborative Ranking Model for Cross-Domain Recommendations. CIKM 2017: 2263-2266 - [c24]Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani:
Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs. ECIR 2017: 291-303 - [c23]Dimitrios Rafailidis, Fabio Crestani:
Multiple Random Walks for Personalized Ranking with Trust and Distrust. TPDL 2017: 473-484 - [c22]Dimitrios Rafailidis, Fabio Crestani:
Recommendation with Social Relationships via Deep Learning. ICTIR 2017: 151-158 - [c21]Dimitrios Rafailidis, Fabio Crestani:
A Regularization Method with Inference of Trust and Distrust in Recommender Systems. ECML/PKDD (2) 2017: 253-268 - [c20]Dimitrios Rafailidis, Fabio Crestani:
Learning to Rank with Trust and Distrust in Recommender Systems. RecSys 2017: 5-13 - 2016
- [j17]Dimitrios Rafailidis:
Supervised Hashing Based on the Dimensions' Value Cardinalities of Image Descriptors. IEEE Signal Process. Lett. 23(10): 1479-1483 (2016) - [j16]Apostolos Axenopoulos, Dimitrios Rafailidis, Georgios Th. Papadopoulos, Elias N. Houstis, Petros Daras:
Similarity Search of Flexible 3D Molecules Combining Local and Global Shape Descriptors. IEEE ACM Trans. Comput. Biol. Bioinform. 13(5): 954-970 (2016) - [j15]Dimitrios Rafailidis, Alexandros Nanopoulos:
Modeling Users Preference Dynamics and Side Information in Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 46(6): 782-792 (2016) - [c19]Dimitrios Rafailidis, Fabio Crestani:
Network completion via joint node clustering and similarity learning. ASONAM 2016: 63-68 - [c18]Dimitrios Rafailidis, Fabio Crestani:
Joint Collaborative Ranking with Social Relationships in Top-N Recommendation. CIKM 2016: 1393-1402 - [c17]Dimitrios Rafailidis, Fabio Crestani:
Top-N Recommendation via Joint Cross-Domain User Clustering and Similarity Learning. ECML/PKDD (2) 2016: 426-441 - [c16]Dimitrios Rafailidis:
Clustering nodes with attributes via graph alignment. SAC 2016: 904-907 - [c15]Dimitrios Rafailidis:
Modeling trust and distrust information in recommender systems via joint matrix factorization with signed graphs. SAC 2016: 1060-1065 - [c14]Dimitrios Rafailidis, Fabio Crestani:
Cluster-based Joint Matrix Factorization Hashing for Cross-Modal Retrieval. SIGIR 2016: 781-784 - [c13]Dimitrios Rafailidis, Fabio Crestani:
Collaborative Ranking with Social Relationships for Top-N Recommendations. SIGIR 2016: 785-788 - 2015
- [j14]Theodoros Semertzidis, Dimitrios Rafailidis, Michael Gerasimos Strintzis, Petros Daras:
The influence of image descriptors' dimensions' value cardinalities on large-scale similarity search. Int. J. Multim. Inf. Retr. 4(3): 187-204 (2015) - [j13]Theodoros Semertzidis, Dimitrios Rafailidis, Michael G. Strintzis, Petros Daras:
Large-scale spectral clustering based on pairwise constraints. Inf. Process. Manag. 51(5): 616-624 (2015) - [j12]Stefanos Antaris, Dimitrios Rafailidis:
Similarity Search over the Cloud Based on Image Descriptors' Dimensions Value Cardinalities. ACM Trans. Multim. Comput. Commun. Appl. 11(4): 51:1-51:23 (2015) - [c12]Dimitrios Rafailidis, Stefanos Antaris:
Indexing media storms on Flink. IEEE BigData 2015: 2836-2838 - [c11]Andreas Papadopoulos, Dimitrios Rafailidis, George Pallis, Marios D. Dikaiakos:
Clustering Attributed Multi-graphs with Information Ranking. DEXA (1) 2015: 432-446 - [c10]Eleftherios Tiakas, Dimitrios Rafailidis:
Scalable Trajectory Similarity Search Based on Locations in Spatial Networks. MEDI 2015: 213-224 - [c9]Dimitrios Rafailidis:
Probabilistic Matrix Factorization With Semantic And Visual Neighborhoods For Image Tag Completion. ICMR 2015: 527-530 - [c8]Dimitrios Rafailidis, Yannis Manolopoulos:
Parallel similarity search based on the dimensions value cardinalities of image descriptor vectors. SAC 2015: 1023-1030 - [c7]Dimitrios Rafailidis, Alexandros Nanopoulos:
Crossing the Boundaries of Communities via Limited Link Injection for Information Diffusion In Social Networks. WWW (Companion Volume) 2015: 97-98 - [c6]Dimitrios Rafailidis, Alexandros Nanopoulos:
Repeat Consumption Recommendation Based on Users Preference Dynamics and Side Information. WWW (Companion Volume) 2015: 99-100 - 2014
- [j11]Dimitrios Rafailidis, Alexandros Nanopoulos, Eleni Constantinou:
"With a little help from new friends": Boosting information cascades in social networks based on link injection. J. Syst. Softw. 98: 1-8 (2014) - [j10]Stefanos Antaris, Dimitrios Rafailidis, Alexandros Nanopoulos:
Link injection for boosting information spread in social networks. Soc. Netw. Anal. Min. 4(1): 236 (2014) - [j9]Dimitrios Rafailidis, Apostolos Axenopoulos, Jonas Etzold, Stavroula Manolopoulou, Petros Daras:
Content-based tag propagation and tensor factorization for personalized item recommendation based on social tagging. ACM Trans. Interact. Intell. Syst. 3(4): 26:1-26:27 (2014) - [c5]Dimitrios Rafailidis, Eleni Constantinou, Yannis Manolopoulos:
Scalable Spectral Clustering with Weighted PageRank. MEDI 2014: 289-300 - [c4]Dimitrios Rafailidis, Alexandros Nanopoulos:
Modeling the dynamics of user preferences in coupled tensor factorization. RecSys 2014: 321-324 - 2013
- [j8]Dimitrios Rafailidis, Stavroula Manolopoulou, Petros Daras:
A unified framework for multimodal retrieval. Pattern Recognit. 46(12): 3358-3370 (2013) - [j7]Michalis Lazaridis, Apostolos Axenopoulos, Dimitrios Rafailidis, Petros Daras:
Multimedia search and retrieval using multimodal annotation propagation and indexing techniques. Signal Process. Image Commun. 28(4): 351-367 (2013) - [j6]Eleftherios Tiakas, Dimitrios Rafailidis, Anastasios Dimou, Petros Daras:
MSIDX: Multi-Sort Indexing for Efficient Content-Based Image Search and Retrieval. IEEE Trans. Multim. 15(6): 1415-1430 (2013) - [j5]Dimitrios Rafailidis, Petros Daras:
The TFC Model: Tensor Factorization and Tag Clustering for Item Recommendation in Social Tagging Systems. IEEE Trans. Syst. Man Cybern. Syst. 43(3): 673-688 (2013) - [c3]Dimitrios Rafailidis, Theodoros Semertzidis, Michalis Lazaridis, Michael G. Strintzis, Petros Daras:
A Data-Driven Approach for Social Event Detection. MediaEval 2013 - [c2]Alexandros Nanopoulos, Dimitrios Rafailidis, Ioannis Karydis:
Matrix Factorization with Content Relationships for Media Personalization. Wirtschaftsinformatik 2013: 6 - [p1]Theodoros Semertzidis, Dimitrios Rafailidis, Eleftherios Tiakas, Michael G. Strintzis, Petros Daras:
Multimedia Indexing, Search, and Retrieval in Large Databases of Social Networks. Social Media Retrieval 2013: 43-63 - 2011
- [b1]Dimitrios Rafailidis:
Μέθοδοι ανάλυσης και ανάκτησης σε μουσικές βάσεις δεδομένων. Aristotle University Of Thessaloniki, Greece, 2011 - [j4]Dimitrios Rafailidis, Alexandros Nanopoulos, Yannis Manolopoulos:
Nonlinear dimensionality reduction for efficient and effective audio similarity searching. Multim. Tools Appl. 51(3): 881-895 (2011) - 2010
- [j3]Dimitrios Rafailidis, Alexandros Nanopoulos, Yannis Manolopoulos:
Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery. Int. J. Multim. Data Eng. Manag. 1(3): 1-18 (2010) - [j2]Alexandros Nanopoulos, Dimitrios Rafailidis, Panagiotis Symeonidis, Yannis Manolopoulos:
MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags. IEEE Trans. Speech Audio Process. 18(2): 407-412 (2010)
2000 – 2009
- 2009
- [j1]Alexandros Nanopoulos, Dimitrios Rafailidis, Maria M. Ruxanda, Yannis Manolopoulos:
Music search engines: Specifications and challenges. Inf. Process. Manag. 45(3): 392-396 (2009) - 2008
- [c1]Dimitrios Rafailidis, Alexandros Nanopoulos, Yannis Manolopoulos, Emilios Cambouropoulos:
Detection of Stream Segments in Symbolic Musical Data. ISMIR 2008: 83-88
Coauthor Index
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