Karima Echihabi

According to our database, Karima Echihabi authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Computer Science Education Facing Unconventional Odds: Case Studies from the Arab World.

Sherif G. Aly, Karima Echihabi, Seif Eldawlatly, Khaled Shuaib, Joe Tekli

Inroads, March, 2024

2023

ProS: data series progressive k-NN similarity search and classification with probabilistic quality guarantees.

Karima Echihabi, Theophanis Tsandilas, Anna Gogolou, Anastasia Bezerianos, Themis Palpanas

VLDB J., July, 2023

Elpis: Graph-Based Similarity Search for Scalable Data Science.

Ilias Azizi, Karima Echihabi, Themis Palpanas

Proc. VLDB Endow., 2023

2022

Hercules Against Data Series Similarity Search.

Karima Echihabi, Panagiota Fatourou, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim

Proc. VLDB Endow., 2022

Scalable Analytics on Large Sequence Collections.

Karima Echihabi, Themis Palpanas

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022

2021

New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed.

Karima Echihabi, Themis Palpanas, Kostas Zoumpatianos

Proc. VLDB Endow., 2021

Database systems research in the Arab world: a tradition that spans decades.

Ashraf Aboulnaga, Azza Abouzied, Karima Echihabi, Mourad Ouzzani

Commun. ACM, 2021

Unleashing early maturity academic innovations.

Slim Abdennadher, Sherif G. Aly, Joe Tekli, Karima Echihabi

Commun. ACM, 2021

High-Dimensional Similarity Search for Scalable Data Science.

Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Big Sequence Management: Scaling up and Out.

Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas

Proceedings of the 24th International Conference on Extending Database Technology, 2021

2020

Quality of Sentiment Analysis Tools: The Reasons of Inconsistency.

Wissam Maamar Kouadri, Mourad Ouziri, Salima Benbernou, Karima Echihabi, Themis Palpanas, Iheb Ben Amor

Proc. VLDB Endow., 2020

Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings.

Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas

Proceedings of the WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30, 2020

Data Series Progressive Similarity Search with Probabilistic Quality Guarantees.

Anna Gogolou, Theophanis Tsandilas, Karima Echihabi, Anastasia Bezerianos, Themis Palpanas

Proceedings of the 2020 International Conference on Management of Data, 2020

High-Dimensional Vector Similarity Search: From Time Series to Deep Network Embeddings.

Karima Echihabi

Proceedings of the 2020 International Conference on Management of Data, 2020

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

Truly Scalable Data Series Similarity Search.

Karima Echihabi

Proceedings of the VLDB 2019 PhD Workshop, 2019

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