| The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art K Echihabi, K Zoumpatianos, T Palpanas, H Benbrahim Proceedings of the VLDB Endowment 12 (2), 112-127, 2018 | 80 | 2018 |
| Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search K Echihabi, K Zoumpatianos, T Palpanas, H Benbrahim Proceedings of The VLDB Endowment 13 (3), 403-420, 2019 | 77 | 2019 |
| Data series progressive similarity search with probabilistic quality guarantees A Gogolou, T Tsandilas, K Echihabi, A Bezerianos, T Palpanas Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 33 | 2020 |
| New trends in high-d vector similarity search: al-driven, progressive, and distributed K Echihabi, K Zoumpatianos, T Palpanas Proceedings of the VLDB Endowment 14 (12), 3198-3201, 2021 | 21 | 2021 |
| Hercules against data series similarity search K Echihabi, P Fatourou, K Zoumpatianos, T Palpanas, H Benbrahim arXiv preprint arXiv:2212.13297, 2022 | 20 | 2022 |
| High-dimensional vector similarity search: from time series to deep network embeddings K Echihabi Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 18 | 2020 |
| High-dimensional similarity search for scalable data science K Echihabi, K Zoumpatianos, T Palpanas 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2369-2372, 2021 | 16 | 2021 |
| Scalable machine learning on high-dimensional vectors: From data series to deep network embeddings K Echihabi, K Zoumpatianos, T Palpanas Proceedings of the 10th International Conference on Web Intelligence, Mining …, 2020 | 16 | 2020 |
| Big Sequence Management: Scaling up and Out. K Echihabi, K Zoumpatianos, T Palpanas EDBT, 714-717, 2021 | 13 | 2021 |
| Quality of sentiment analysis tools: The reasons of inconsistency WM Kouadri, M Ouziri, S Benbernou, K Echihabi, T Palpanas, IB Amor Proceedings of the VLDB Endowment 14 (4), 668-681, 2020 | 13 | 2020 |
| ProS: data series progressive k-NN similarity search and classification with probabilistic quality guarantees K Echihabi, T Tsandilas, A Gogolou, A Bezerianos, T Palpanas The VLDB Journal 32 (4), 763-789, 2023 | 9 | 2023 |
| Elpis: Graph-based similarity search for scalable data science I Azizi, K Echihabi, T Palpanas Proceedings of the VLDB Endowment 16 (6), 1548-1559, 2023 | 9 | 2023 |
| Big sequence management: on scalability K Echihabi, K Zoumpatianos, T Palpanas IEEE BigData, 2020 | 9 | 2020 |
| Truly Scalable Data Series Similarity Search. K Echihabi PhD@ VLDB, 2019 | 8 | 2019 |
| Unleashing early maturity academic innovations S Abdennadher, SG Aly, J Tekli, K Echihabi Communications of the ACM 64 (4), 102-107, 2021 | 2 | 2021 |
| Computer Science Education Facing Unconventional Odds: Case Studies from the Arab World SG Aly, K Echihabi, S Eldawlatly, K Shuaib, J Tekli ACM Inroads 15 (1), 6-17, 2024 | 1 | 2024 |
| Big Sequence Management K Echihabi, K Zoumpatianos, T Palpanas, H Benbrahim IEEE Symposium on Computers and Communications (ISCC), 2020 | 1 | 2020 |
| Networked Systems: 10th International Conference, NETYS 2022, Virtual Event, May 17–19, 2022, Proceedings MA Koulali, M Mezini Springer Nature, 2022 | | 2022 |
| Scalable Analytics on Large Sequence Collections K Echihabi, T Palpanas 2022 23rd IEEE International Conference on Mobile Data Management (MDM), 5-8, 2022 | | 2022 |
| Database systems research in the Arab world: a tradition that spans decades A Aboulnaga, A Abouzied, K Echihabi, M Ouzzani Communications of the ACM 64 (4), 120-123, 2021 | | 2021 |
