Incorporating rich features into deep knowledge tracing L Zhang, X Xiong, S Zhao, A Botelho, NT Heffernan Proceedings of the fourth (2017) ACM conference on learning@ scale, 169-172, 2017 | 129 | 2017 |
TARDIS: Distributed indexing framework for big time series data L Zhang, N Alghamdi, MY Eltabakh, EA Rundensteiner 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1202-1213, 2019 | 27 | 2019 |
Chainlink: indexing big time series data for long subsequence matching N Alghamdi, L Zhang, H Zhang, EA Rundensteiner, MY Eltabakh 2020 IEEE 36th international conference on data engineering (ICDE), 529-540, 2020 | 18 | 2020 |
Unravelling psychiatric heterogeneity and predicting suicide attempts in women with trauma-related dissociation using artificial intelligence S Srinivasan, NG Harnett, L Zhang, MK Dahlgren, J Jang, S Lu, ... European journal of psychotraumatology 13 (2), 2143693, 2022 | 3 | 2022 |
Big data series analytics using TARDIS and its exploitation in geospatial applications L Zhang, N Alghamdi, MY Eltabakh, EA Rundensteiner Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 3 | 2020 |
PARROT: pattern-based correlation exploitation in big partitioned data series L Zhang, N Alghamdi, H Zhang, MY Eltabakh, EA Rundensteiner The VLDB Journal 32 (3), 665-688, 2023 | 2 | 2023 |
Scalable time series compound infrastructure NS Alghamdi, L Zhang, EA Rundensteiner, MY Eltabakh Proceedings of the 2022 International Conference on Management of Data, 1685 …, 2022 | 2 | 2022 |
climber++: Pivot-Based Approximate Similarity Search over Big Data Series L Zhang, MY Eltabakh, EA Rundensteiner, K Alnuaim arXiv preprint arXiv:2404.09637, 2024 | | 2024 |
Scalable Similarity Search over Big Data Series L Zhang WPI.Dissertation, 2022 | | 2022 |
A Compression Algorithm Supporting Similarity Search over High-dimensional DataSeries with Missing Values L Zhang | | 2020 |
Spark-ITS: Time Series Indexing on Apache Spark L Zhang Spark+AI Summit Europe 2018, 2018 | | 2018 |
Chainlink: Indexing Big Time Series Data For Long Subsequence Matching.(Technical Report Version) N Alghamdi, L Zhang, H Zhang, EA Rundensteiner, MY Eltabakh | | |