Nikolaos Vasiloglou

According to our database, Nikolaos Vasiloglou authored at least 24 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

CHORUS: Foundation Models for Unified Data Discovery and Exploration.

Moe Kayali, Anton Lykov, Ilias Fountalis, Nikolaos Vasiloglou, Dan Olteanu, Dan Suciu

Proc. VLDB Endow., April, 2024

Towards Agentic Schema Refinement.

Agapi Rissaki, Ilias Fountalis, Nikolaos Vasiloglou, Wolfgang Gatterbauer

CoRR, 2024

QirK: Question Answering via Intermediate Representation on Knowledge Graphs.

Jan Luca Scheerer, Anton Lykov, Moe Kayali, Ilias Fountalis, Dan Olteanu, Nikolaos Vasiloglou, Dan Suciu

CoRR, 2024

AnnotatedTables: A Large Tabular Dataset with Language Model Annotations.

Yaojie Hu, Ilias Fountalis, Jin Tian, Nikolaos Vasiloglou

CoRR, 2024

2023

On algorithmically boosting fixed-point computations.

Ioannis Avramopoulos, Nikolaos Vasiloglou

CoRR, 2023

2022

Simulating Complex Problems Inside a Database.

Giancarlo Fissore, Nikolaos Vasiloglou

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Named Entity Recognition in Long Documents: An End-to-end Case Study in the Legal Domain.

Hossein Keshavarz, Zografoula Vagena, Pigi Kouki, Ilias Fountalis, Mehdi Mabrouki, Aziz Belaweid, Nikolaos Vasiloglou

Proceedings of the IEEE International Conference on Big Data, 2022

2020

From the lab to production: A case study of session-based recommendations in the home-improvement domain.

Pigi Kouki, Ilias Fountalis, Nikolaos Vasiloglou, Xiquan Cui, Edo Liberty, Khalifeh Al Jadda

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Product collection recommendation in online retail.

Pigi Kouki, Ilias Fountalis, Nikolaos Vasiloglou, Nian Yan, Unaiza Ahsan, Khalifeh Al Jadda, Huiming Qu

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

Modelling Machine Learning Algorithms on Relational Data with Datalog.

Nantia Makrynioti, Nikolaos Vasiloglou, Emir Pasalic, Vasilis Vassalos

Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

2017

ERBlox: Combining matching dependencies with machine learning for entity resolution.

Zeinab Bahmani, Leopoldo E. Bertossi, Nikolaos Vasiloglou

Int. J. Approx. Reason., 2017

Multi-way Interacting Regression via Factorization Machines.

Mikhail Yurochkin, XuanLong Nguyen, Nikolaos Vasiloglou

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Practical Attacks Against Graph-based Clustering.

Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, Nikolaos Vasiloglou

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

An intelligent assistant for physicians.

Dimitris Gavrilis, George K. Georgoulas, Nikolaos Vasiloglou, George Nikolakopoulos

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

Extending Datalog with Analytics in LogicBlox.

Molham Aref, Benny Kimelfeld, Emir Pasalic, Nikolaos Vasiloglou

Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru, May 6, 2015

2012

Detecting and Tracking the Rise of DGA-Based Malware.

Manos Antonakakis, Roberto Perdisci, Nikolaos Vasiloglou, Wenke Lee

login Usenix Mag., 2012

From Throw-Away Traffic to Bots: Detecting the Rise of DGA-Based Malware.

Manos Antonakakis, Roberto Perdisci, Yacin Nadji, Nikolaos Vasiloglou, Saeed Abu-Nimeh, Wenke Lee, David Dagon

Proceedings of the 21th USENIX Security Symposium, Bellevue, WA, USA, August 8-10, 2012, 2012

2011

Detecting Malware Domains at the Upper DNS Hierarchy.

Manos Antonakakis, Roberto Perdisci, Wenke Lee, Nikolaos Vasiloglou, David Dagon

Proceedings of the 20th USENIX Security Symposium, 2011

Learning distances to improve phoneme classification.

Ryan R. Curtin, Nikolaos Vasiloglou, David V. Anderson

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2009

Isometry and convexity in dimensionality reduction.

Nikolaos Vasiloglou

PhD thesis, 2009

Spectrum of Fractal Interpolation Functions

Nikolaos Vasiloglou, Petros Maragos

CoRR, 2009

Non-negative Matrix Factorization, Convexity and Isometry.

Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson

Proceedings of the SIAM International Conference on Data Mining, 2009

2008

Learning Isometric Separation Maps

Nikolaos Vasiloglou, Alexander G. Gray, David V. Anderson

CoRR, 2008

2002

Lossless Audio Coding with MPEG-4 Structured Audio.

Nikolaos Vasiloglou, Ronald W. Schafer, Mat C. Hans

Proceedings of the Second International Conference on WEB Delivering of Music, 2002