Video shot meta-segmentation based on multiple criteria for gradual transition detection. - Efthymia Tsamoura; Vasileios Mezaris; Ioannis Kompatsiaris (CBMI, 2008)

Gradual transition detection using color coherence and other criteria in a video shot meta-segmentation framework. - Efthymia Tsamoura; Vasileios Mezaris; Ioannis Kompatsiaris (ICIP, 2008)

Database Oriented Grid Middlewares. - Efthymia Tsamoura; Anastasios Gounaris (BCI, 2009)

Brief announcement: on the quest of optimal service ordering in decentralized queries. - Efthymia Tsamoura; Anastasios Gounaris; Yannis Manolopoulos (PODC, 2010)

Automatic Color Based Reassembly of Fragmented Images and Paintings. - Efthymia Tsamoura; Ioannis Pitas (IEEE Trans. Image Process., 2010)

Decentralized execution of linear workflows over web services. - Efthymia Tsamoura; Anastasios Gounaris; Yannis Manolopoulos (Future Gener. Comput. Syst., 2011)

Optimal Service Ordering in Decentralized Queries Over Web Services. - Efthymia Tsamoura; Anastasios Gounaris; Yannis Manolopoulos (Int. J. Knowl. Based Organ., 2011)

Queries over Web Services. - Efthymia Tsamoura; Anastasios Gounaris; Yannis Manolopoulos (New Directions in Web Data Management 1, 2011)

Lifting the Burden of History in Adaptive Ordering of Pipelined Stream Filters. - Efthymia Tsamoura; Anastasios Gounaris; Yannis Manolopoulos (ICDE Workshops, 2012)

Optimization of decentralized multi-way join queries over pipelined filtering services. - Efthymia Tsamoura; Anastasios Gounaris; Yannis Manolopoulos (Computing, 2012)

Incorporating change detection in network coordinate systems for large data transfers. - Efthymia Tsamoura; Anastasios Gounaris (Panhellenic Conference on Informatics, 2013)

Multi-objective optimization of data flows in a multi-cloud environment. - Efthymia Tsamoura; Anastasios Gounaris; Kostas Tsichlas (DanaC@SIGMOD, 2013)

Βελτιστοποίηση ερωτημάτων σε κατανεμημένα και δυναμικά περιβάλλοντα - Efthymia Tsamoura (2013)

Adaptive Query Processing in Distributed Settings. - Anastasios Gounaris; Efthymia Tsamoura; Yannis Manolopoulos (Advanced Query Processing (1), 2013)

Generating low-cost plans from proofs. - Michael Benedikt; Balder ten Cate; Efthymia Tsamoura (PODS, 2014)

PDQ: Proof-driven Query Answering over Web-based Data. - Michael Benedikt; Julien Leblay; Efthymia Tsamoura (Proc. VLDB Endow., 2014)

Querying with Access Patterns and Integrity Constraints. - Michael Benedikt; Julien Leblay; Efthymia Tsamoura (Proc. VLDB Endow., 2015)

Biological Web Services: Integration, Optimization, and Reasoning. - Michael Benedikt; Rodrigo Lopez-Serrano; Efthymia Tsamoura (BAI@IJCAI, 2016)

Incorporating change detection in the monitoring phase of adaptive query processing. - Efthymia Tsamoura; Anastasios Gounaris; Yannis Manolopoulos (J. Internet Serv. Appl., 2016)

Generating Plans from Proofs. - Michael Benedikt; Balder ten Cate; Efthymia Tsamoura (ACM Trans. Database Syst., 2016)

Generating Plans from Proofs: The Interpolation-based Approach to Query Reformulation - Michael Benedikt; Julien Leblay; Balder ten Cate; Efthymia Tsamoura (Morgan & Claypool Publishers, 2016)

Reformulating Queries: Theory and Practice. - Michael Benedikt; Egor V. Kostylev; Fabio Mogavero; Efthymia Tsamoura (IJCAI, 2017)

Benchmarking the Chase. - Michael Benedikt; George Konstantinidis 001; Giansalvatore Mecca; Boris Motik; Paolo Papotti; Donatello Santoro; Efthymia Tsamoura (PODS, 2017)

Goal-Driven Query Answering for Existential Rules With Equality. - Michael Benedikt; Boris Motik; Efthymia Tsamoura (AAAI, 2018)

MapRepair: Mapping and Repairing under Policy Views. - Angela Bonifati; Ugo Comignani; Efthymia Tsamoura (SIGMOD Conference, 2019)

Repairing mappings under policy views. - Angela Bonifati; Ugo Comignani; Efthymia Tsamoura (CoRR, 2019)

Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs (Technical Report). - Efthymia Tsamoura; Víctor Gutiérrez-Basulto; Angelika Kimmig (CoRR, 2019)

Beyond the Grounding Bottleneck: Datalog Techniques for Inference in Probabilistic Logic Programs. - Efthymia Tsamoura; Víctor Gutiérrez-Basulto; Angelika Kimmig (AAAI, 2020)

Neural-Symbolic Integration: A Compositional Perspective. - Efthymia Tsamoura; Loizos Michael (CoRR, 2020)

Neural-Symbolic Integration: A Compositional Perspective. - Efthymia Tsamoura; Timothy M. Hospedales; Loizos Michael (AAAI, 2021)

Exchanging Data under Policy Views. - Angela Bonifati; Ugo Comignani; Efthymia Tsamoura (EDBT, 2021)

Materializing Knowledge Bases via Trigger Graphs. - Efthymia Tsamoura; David Carral; Enrico Malizia; Jacopo Urbani (Proc. VLDB Endow., 2021)

Balancing Expressiveness and Inexpressiveness in View Design. - Michael Benedikt; Pierre Bourhis; Louis Jachiet; Efthymia Tsamoura (ACM Trans. Database Syst., 2021)

Scalable Regularization of Scene Graph Generation Models using Symbolic Theories. - Davide Buffelli; Efthymia Tsamoura (CoRR, 2022)

PDQ 2.0: Flexible Infrastructure for Integrating Reasoning and Query Planning. - Michael Benedikt; Fergus R. Cooper; Stefano Germano; Gabor Gyorkei; Efthymia Tsamoura; Brandon Moore; Camilo Ortiz (SIGMOD Rec., 2022)

Scalable Theory-Driven Regularization of Scene Graph Generation Models. - Davide Buffelli; Efthymia Tsamoura (AAAI, 2023)

Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models. - Jonathan Feldstein; Dominic Phillips; Efthymia Tsamoura (AAAI, 2023)

Parallel Neurosymbolic Integration with Concordia. - Jonathan Feldstein; Modestas Jurcius; Efthymia Tsamoura (ICML, 2023)

KiL 2023 : 3rd International Workshop on Knowledge-infused Learning. - Manas Gaur; Efthymia Tsamoura; Sarath Sreedharan; Sudip Mittal (KDD, 2023)

On Learning Latent Models with Multi-Instance Weak Supervision. - Kaifu Wang; Efthymia Tsamoura; Dan Roth 001 (NeurIPS, 2023)

Probabilistic Reasoning at Scale: Trigger Graphs to the Rescue. - Efthymia Tsamoura; Jaehun Lee; Jacopo Urbani (Proc. ACM Manag. Data, 2023)

KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs). - Manas Gaur; Efthymia Tsamoura; Edward Raff; Nikhita Vedula; Srinivasan Parthasarathy 001 (KDD, 2024)

On Characterizing and Mitigating Imbalances in Multi-Instance Partial Label Learning. - Kaifu Wang; Efthymia Tsamoura; Dan Roth 001 (CoRR, 2024)

Efficiently Learning Probabilistic Logical Models by Cheaply Ranking Mined Rules. - Jonathan Feldstein; Dominic Phillips; Efthymia Tsamoura (CoRR, 2024)

Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning. - Jonathan Feldstein; Paulius Dilkas; Vaishak Belle; Efthymia Tsamoura (CoRR, 2024)

Goal-Driven Query Answering over First- and Second-Order Dependencies with Equality. - Efthymia Tsamoura; Boris Motik (CoRR, 2024)