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)

Truly Scalable Data Series Similarity Search. - Karima Echihabi (PhD@VLDB, 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)

High-Dimensional Vector Similarity Search: From Time Series to Deep Network Embeddings. - Karima Echihabi (SIGMOD Conference, 2020)

Data Series Progressive Similarity Search with Probabilistic Quality Guarantees. - Anna Gogolou; Theophanis Tsandilas; Karima Echihabi; Anastasia Bezerianos; Themis Palpanas (SIGMOD Conference, 2020)

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

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)

Unleashing early maturity academic innovations. - Slim Abdennadher; Sherif G. Aly 001; Joe Tekli; Karima Echihabi (Commun. ACM, 2021)

Database systems research in the Arab world: a tradition that spans decades. - Ashraf Aboulnaga; Azza Abouzied; Karima Echihabi; Mourad Ouzzani (Commun. ACM, 2021)

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

Scalable Analytics on Large Sequence Collections. - Karima Echihabi; Themis Palpanas (MDM, 2022)

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

Elpis: Graph-Based Similarity Search for Scalable Data Science. - Ilias Azizi; Karima Echihabi; Themis Palpanas (Proc. VLDB Endow., 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., 2023)

AMONuSeg: A Histological Dataset for African Multi-organ Nuclei Semantic Segmentation. - Hasnae Zerouaoui; Gbenga Peter Oderinde; Rida Lefdali; Karima Echihabi; Stephen Peter Akpulu; Nosereme Abel Agbon; Abraham Sunday Musa; Yousef Yeganeh; Azade Farshad; Nassir Navab (MICCAI (9), 2024)

Computer Science Education Facing Unconventional Odds: Case Studies from the Arab World. - Sherif G. Aly 001; Karima Echihabi; Seif Eldawlatly; Khaled Shuaib; Joe Tekli (Inroads, 2024)

Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art. - Ilias Azizi; Karima Echihabi; Themis Palpanas (Proc. ACM Manag. Data, 2025)

RWalks: Random Walks as Attribute Diffusers for Filtered Vector Search. - Anas Ait Aomar; Karima Echihabi; Marco Arnaboldi; Ioannis Alagiannis; Damien Hilloulin; Manal Cherkaoui (Proc. ACM Manag. Data, 2025)