Detection of Stream Segments in Symbolic Musical Data. - Dimitrios Rafailidis; Alexandros Nanopoulos; Yannis Manolopoulos; Emilios Cambouropoulos (ISMIR, 2008)

Music search engines: Specifications and challenges. - Alexandros Nanopoulos; Dimitrios Rafailidis; Maria M. Ruxanda; Yannis Manolopoulos (Inf. Process. Manag., 2009)

Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery. - Dimitrios Rafailidis; Alexandros Nanopoulos; Yannis Manolopoulos (Int. J. Multim. Data Eng. Manag., 2010)

MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags. - Alexandros Nanopoulos; Dimitrios Rafailidis; Panagiotis Symeonidis; Yannis Manolopoulos (IEEE Trans. Speech Audio Process., 2010)

Nonlinear dimensionality reduction for efficient and effective audio similarity searching. - Dimitrios Rafailidis; Alexandros Nanopoulos; Yannis Manolopoulos (Multim. Tools Appl., 2011)

Μέθοδοι ανάλυσης και ανάκτησης σε μουσικές βάσεις δεδομένων - Dimitrios Rafailidis (2011)

A Data-Driven Approach for Social Event Detection. - Dimitrios Rafailidis; Theodoros Semertzidis; Michalis Lazaridis; Michael G. Strintzis; Petros Daras (MediaEval, 2013)

Matrix Factorization with Content Relationships for Media Personalization. - Alexandros Nanopoulos; Dimitrios Rafailidis; Ioannis Karydis (Wirtschaftsinformatik, 2013)

A unified framework for multimodal retrieval. - Dimitrios Rafailidis; Stavroula Manolopoulou; Petros Daras (Pattern Recognit., 2013)

Multimedia search and retrieval using multimodal annotation propagation and indexing techniques. - Michalis Lazaridis; Apostolos Axenopoulos; Dimitrios Rafailidis; Petros Daras (Signal Process. Image Commun., 2013)

MSIDX: Multi-Sort Indexing for Efficient Content-Based Image Search and Retrieval. - Eleftherios Tiakas; Dimitrios Rafailidis; Anastasios Dimou; Petros Daras (IEEE Trans. Multim., 2013)

The TFC Model: Tensor Factorization and Tag Clustering for Item Recommendation in Social Tagging Systems. - Dimitrios Rafailidis; Petros Daras (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Multimedia Indexing, Search, and Retrieval in Large Databases of Social Networks. - Theodoros Semertzidis; Dimitrios Rafailidis; Eleftherios Tiakas; Michael G. Strintzis; Petros Daras (Social Media Retrieval, 2013)

Scalable Spectral Clustering with Weighted PageRank. - Dimitrios Rafailidis; Eleni Constantinou; Yannis Manolopoulos (MEDI, 2014)

Modeling the dynamics of user preferences in coupled tensor factorization. - Dimitrios Rafailidis; Alexandros Nanopoulos (RecSys, 2014)

"With a little help from new friends": Boosting information cascades in social networks based on link injection. - Dimitrios Rafailidis; Alexandros Nanopoulos; Eleni Constantinou (J. Syst. Softw., 2014)

Link injection for boosting information spread in social networks. - Stefanos Antaris; Dimitrios Rafailidis; Alexandros Nanopoulos (Soc. Netw. Anal. Min., 2014)

Content-based tag propagation and tensor factorization for personalized item recommendation based on social tagging. - Dimitrios Rafailidis; Apostolos Axenopoulos; Jonas Etzold; Stavroula Manolopoulou; Petros Daras (ACM Trans. Interact. Intell. Syst., 2014)

Indexing media storms on Flink. - Dimitrios Rafailidis; Stefanos Antaris (IEEE BigData, 2015)

Clustering Attributed Multi-graphs with Information Ranking. - Andreas Papadopoulos; Dimitrios Rafailidis; George Pallis 001; Marios D. Dikaiakos (DEXA (1), 2015)

Scalable Trajectory Similarity Search Based on Locations in Spatial Networks. - Eleftherios Tiakas; Dimitrios Rafailidis (MEDI, 2015)

Probabilistic Matrix Factorization With Semantic And Visual Neighborhoods For Image Tag Completion. - Dimitrios Rafailidis (ICMR, 2015)

Parallel similarity search based on the dimensions value cardinalities of image descriptor vectors. - Dimitrios Rafailidis; Yannis Manolopoulos (SAC, 2015)

Crossing the Boundaries of Communities via Limited Link Injection for Information Diffusion In Social Networks. - Dimitrios Rafailidis; Alexandros Nanopoulos (WWW (Companion Volume), 2015)

Repeat Consumption Recommendation Based on Users Preference Dynamics and Side Information. - Dimitrios Rafailidis; Alexandros Nanopoulos (WWW (Companion Volume), 2015)

The influence of image descriptors' dimensions' value cardinalities on large-scale similarity search. - Theodoros Semertzidis; Dimitrios Rafailidis; Michael Gerasimos Strintzis; Petros Daras (Int. J. Multim. Inf. Retr., 2015)

Large-scale spectral clustering based on pairwise constraints. - Theodoros Semertzidis; Dimitrios Rafailidis; Michael G. Strintzis; Petros Daras (Inf. Process. Manag., 2015)

Similarity Search over the Cloud Based on Image Descriptors' Dimensions Value Cardinalities. - Stefanos Antaris; Dimitrios Rafailidis (ACM Trans. Multim. Comput. Commun. Appl., 2015)

Network completion via joint node clustering and similarity learning. - Dimitrios Rafailidis; Fabio Crestani (ASONAM, 2016)

Joint Collaborative Ranking with Social Relationships in Top-N Recommendation. - Dimitrios Rafailidis; Fabio Crestani (CIKM, 2016)

Top-N Recommendation via Joint Cross-Domain User Clustering and Similarity Learning. - Dimitrios Rafailidis; Fabio Crestani (ECML/PKDD (2), 2016)

Clustering nodes with attributes via graph alignment. - Dimitrios Rafailidis (SAC, 2016)

Modeling trust and distrust information in recommender systems via joint matrix factorization with signed graphs. - Dimitrios Rafailidis (SAC, 2016)

Cluster-based Joint Matrix Factorization Hashing for Cross-Modal Retrieval. - Dimitrios Rafailidis; Fabio Crestani (SIGIR, 2016)

Collaborative Ranking with Social Relationships for Top-N Recommendations. - Dimitrios Rafailidis; Fabio Crestani (SIGIR, 2016)

Supervised Hashing Based on the Dimensions' Value Cardinalities of Image Descriptors. - Dimitrios Rafailidis (IEEE Signal Process. Lett., 2016)

Similarity Search of Flexible 3D Molecules Combining Local and Global Shape Descriptors. - Apostolos Axenopoulos; Dimitrios Rafailidis; Georgios E. Papadopoulos; Elias N. Houstis; Petros Daras (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Modeling Users Preference Dynamics and Side Information in Recommender Systems. - Dimitrios Rafailidis; Alexandros Nanopoulos (IEEE Trans. Syst. Man Cybern. Syst., 2016)

A Collaborative Ranking Model for Cross-Domain Recommendations. - Dimitrios Rafailidis; Fabio Crestani (CIKM, 2017)

Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs. - Mohammad Aliannejadi; Dimitrios Rafailidis; Fabio Crestani (ECIR, 2017)

Multiple Random Walks for Personalized Ranking with Trust and Distrust. - Dimitrios Rafailidis; Fabio Crestani (TPDL, 2017)

Recommendation with Social Relationships via Deep Learning. - Dimitrios Rafailidis; Fabio Crestani (ICTIR, 2017)

A Regularization Method with Inference of Trust and Distrust in Recommender Systems. - Dimitrios Rafailidis; Fabio Crestani (ECML/PKDD (2), 2017)

Learning to Rank with Trust and Distrust in Recommender Systems. - Dimitrios Rafailidis; Fabio Crestani (RecSys, 2017)

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

Landmark selection for spectral clustering based on Weighted PageRank. - Dimitrios Rafailidis; Eleni Constantinou; Yannis Manolopoulos (Future Gener. Comput. Syst., 2017)

Friend Recommendation in Location-Based Social Networks via Deep Pairwise Learning. - Dimitrios Rafailidis; Fabio Crestani (ASONAM, 2018)

A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion. - Mohammad Aliannejadi; Dimitrios Rafailidis; Fabio Crestani (ICTIR, 2018)

GeoDCF: Deep Collaborative Filtering with Multifaceted Contextual Information in Location-Based Social Networks. - Dimitrios Rafailidis; Fabio Crestani (ECML/PKDD (2), 2018)

A Multi-Latent Transition model for evolving preferences in recommender systems. - Dimitrios Rafailidis (Expert Syst. Appl., 2018)

In-Memory Stream Indexing of Massive and Fast Incoming Multimedia Content. - Stefanos Antaris; Dimitrios Rafailidis (IEEE Trans. Big Data, 2018)

On Cross-Domain Transfer in Venue Recommendation. - Jarana Manotumruksa; Dimitrios Rafailidis; Craig Macdonald; Iadh Ounis (ECIR (1), 2019)

Neural Attentive Cross-Domain Recommendation. - Dimitrios Rafailidis; Fabio Crestani (ICTIR, 2019)

Adversarial Training for Review-Based Recommendations. - Dimitrios Rafailidis; Fabio Crestani (SIGIR, 2019)

Bayesian Deep Learning with Trust and Distrust in Recommendation Systems. - Dimitrios Rafailidis (WI, 2019)

Can Virtual Assistants Produce Recommendations? - Dimitrios Rafailidis; Yannis Manolopoulos (WIMS, 2019)

The Technological Gap Between Virtual Assistants and Recommendation Systems. - Dimitrios Rafailidis; Yannis Manolopoulos (CoRR, 2019)

Leveraging Trust and Distrust in Recommender Systems via Deep Learning. - Dimitrios Rafailidis (CoRR, 2019)

A Neural Attention Model for Adaptive Learning of Social Friends' Preferences. - Dimitrios Rafailidis; Gerhard Weiss 001 (CoRR, 2019)

Adaptive Deep Learning of Cross-Domain Loss in Collaborative Filtering. - Dimitrios Rafailidis; Gerhard Weiss 001 (CoRR, 2019)

Cross-Domain Collaborative Filtering via Translation-based Learning. - Dimitrios Rafailidis (CoRR, 2019)

Distill2Vec: Dynamic Graph Representation Learning with Knowledge Distillation. - Stefanos Antaris; Dimitrios Rafailidis (ASONAM, 2020)

VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions. - Stefanos Antaris; Dimitrios Rafailidis (ASONAM, 2020)

EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events. - Stefanos Antaris; Dimitrios Rafailidis; Sarunas Girdzijauskas (IEEE BigData, 2020)

On Estimating the Training Cost of Conversational Recommendation Systems. - Stefanos Antaris; Dimitrios Rafailidis; Mohammad Aliannejadi (CoRR, 2020)

Adaptive Neural Architectures for Recommender Systems. - Dimitrios Rafailidis; Stefanos Antaris (CoRR, 2020)

A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation. - Mohammad Aliannejadi; Dimitrios Rafailidis; Fabio Crestani (IEEE Trans. Knowl. Data Eng., 2020)

Meta-reinforcement learning via buffering graph signatures for live video streaming events. - Stefanos Antaris; Dimitrios Rafailidis; Sarunas Girdzijauskas (ASONAM, 2021)

A Deep Graph Reinforcement Learning Model for Improving User Experience in Live Video Streaming. - Stefanos Antaris; Dimitrios Rafailidis; Sarunas Girdzijauskas (IEEE BigData, 2021)

Multi-task Learning for User Engagement and Adoption in Live Video Streaming Events. - Stefanos Antaris; Dimitrios Rafailidis; Romina Arriaza (ECML/PKDD (5), 2021)

Sequence Adaptation via Reinforcement Learning in Recommender Systems. - Stefanos Antaris; Dimitrios Rafailidis (RecSys, 2021)

Knowledge distillation on neural networks for evolving graphs. - Stefanos Antaris; Dimitrios Rafailidis; Sarunas Girdzijauskas (Soc. Netw. Anal. Min., 2021)

Multi-Task Learning with Loop Specific Attention for CDR Structure Prediction. - Eleni Giovanoudi; Dimitrios Rafailidis (CoRR, 2023)

RepAs: Iterative Refinement for Predicting Polyadenylation Site Usage. - Eleni Giovanoudi; Dimitrios Rafailidis (SAC, 2025)

Hybrid Attentive Graph Neural Networks for time series gene expression clustering. - Eleni Giovanoudi; Dimitrios Rafailidis (Expert Syst. Appl., 2025)