Automated Transformation of SWRL Rules into Multiple-Choice Questions. - Konstantinos Zoumpatianos; Andreas Papasalouros; Konstantinos Kotis (FLAIRS, 2011)

Enhancing the Collective Knowledge for the Engineering of Ontologies in Open and Socially Constructed Learning Spaces. - Konstantinos Kotis; Andreas Papasalouros; George A. Vouros; Nikolaos Pappas 002; Konstantinos Zoumpatianos (J. Univers. Comput. Sci., 2011)

Strategic Management for Real-Time Business Intelligence. - Konstantinos Zoumpatianos; Themis Palpanas; John Mylopoulos (BIRTE, 2012)

Monitoring and diagnosing indicators for business analytics. - Konstantinos Zoumpatianos; Themis Palpanas; John Mylopoulos; Alejandro Maté; Juan Trujillo 001 (CASCON, 2013)

A systematic approach for dynamic targeted monitoring of KPIs. - Alejandro Maté; Kostas Zoumpatianos; Themis Palpanas; Juan Trujillo 001; John Mylopoulos; Elvis Koci (CASCON, 2014)

Indexing for interactive exploration of big data series. - Kostas Zoumpatianos; Stratos Idreos; Themis Palpanas (SIGMOD Conference, 2014)

Monitoring Strategic Business Goals with Argus. - Alejandro Mate; Juan Trujillo 001; Elvis Koci; Kostas Zoumpatianos; John Mylopoulos (EDOC, 2015)

Query Workloads for Data Series Indexes. - Kostas Zoumpatianos; Yin Lou; Themis Palpanas; Johannes Gehrke (KDD, 2015)

RINSE: Interactive Data Series Exploration with ADS+. - Kostas Zoumpatianos; Stratos Idreos; Themis Palpanas (Proc. VLDB Endow., 2015)

Past and Future Steps for Adaptive Storage Data Systems: From Shallow to Deep Adaptivity. - Stratos Idreos; Manos Athanassoulis; Niv Dayan; Demi Guo; Mike S. Kester; Lukas M. Maas; Kostas Zoumpatianos (BIRTE (Revised Selected Papers), 2016)

ADS: the adaptive data series index. - Kostas Zoumpatianos; Stratos Idreos; Themis Palpanas (VLDB J., 2016)

Indexing for Very Large Data Series Collections. - Konstantinos Zoumpatianos (2016)

Data Series Management: Fulfilling the Need for Big Sequence Analytics. - Kostas Zoumpatianos; Themis Palpanas (ICDE, 2018)

The Data Calculator: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models. - Stratos Idreos; Kostas Zoumpatianos; Brian Hentschel; Michael S. Kester; Demi Guo (SIGMOD Conference, 2018)

The Internals of the Data Calculator. - Stratos Idreos; Kostas Zoumpatianos; Brian Hentschel; Michael S. Kester; Demi Guo (CoRR, 2018)

The Periodic Table of Data Structures. - Stratos Idreos; Kostas Zoumpatianos; Manos Athanassoulis; Niv Dayan; Brian Hentschel; Michael S. Kester; Demi Guo; Lukas M. Maas; Wilson Qin; Abdul Wasay; Yiyou Sun (IEEE Data Eng. Bull., 2018)

The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art. - Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas; Houda Benbrahim (Proc. VLDB Endow., 2018)

Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes. - Haridimos Kondylakis; Niv Dayan; Kostas Zoumpatianos; Themis Palpanas (Proc. VLDB Endow., 2018)

Generating data series query workloads. - Kostas Zoumpatianos; Yin Lou; Ioana Ileana; Themis Palpanas; Johannes Gehrke (VLDB J., 2018)

Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm. - Haridimos Kondylakis; Niv Dayan; Kostas Zoumpatianos; Themis Palpanas (SIGMOD Conference, 2019)

Data Series Management (Dagstuhl Seminar 19282). - Anthony J. Bagnall; Richard L. Cole; Themis Palpanas; Konstantinos Zoumpatianos (Dagstuhl Reports, 2019)

Learning Data Structure Alchemy. - Stratos Idreos; Kostas Zoumpatianos; Subarna Chatterjee; Wilson Qin; Abdul Wasay; Brian Hentschel; Mike S. Kester; Niv Dayan; Demi Guo; Minseo Kang; Yiyou Sun (IEEE Data Eng. Bull., 2019)

Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search. - Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas; Houda Benbrahim (Proc. VLDB Endow., 2019)

Coconut: sortable summarizations for scalable indexes over static and streaming data series. - Haridimos Kondylakis; Niv Dayan; Kostas Zoumpatianos; Themis Palpanas (VLDB J., 2019)

Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings. - Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas (WIMS, 2020)

Big Sequence Management: Scaling up and Out. - Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas (EDBT, 2021)

High-Dimensional Similarity Search for Scalable Data Science. - Karima Echihabi; Kostas Zoumpatianos; Themis Palpanas (ICDE, 2021)

New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed. - Karima Echihabi; Themis Palpanas; Kostas Zoumpatianos (Proc. VLDB Endow., 2021)

Hercules Against Data Series Similarity Search. - Karima Echihabi; Panagiota Fatourou; Kostas Zoumpatianos; Themis Palpanas; Houda Benbrahim (Proc. VLDB Endow., 2022)