Najib Ishaq

According to our database, Najib Ishaq authored at least 8 papers between 2019 and 2026.

Collaborative distances:

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

2026

MuSAlS: A Fast Multiple Sequence Alignment Approach Using Hierarchical Clustering.

Emily Light, Morgan E. Prior, Noah M. Daniels, Najib Ishaq

CoRR, January, 2026

2025

Let them have CAKES: A Cutting-Edge Algorithm for Scalable, Efficient, and Exact Search on Big Data.

Morgan E. Prior, Thomas J. Howard III, Oliver McLaughlin, Terry Ferguson, Najib Ishaq, Noah M. Daniels

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Generalized compression and compressive search of large datasets.

Morgan E. Prior, Thomas J. Howard III, Emily Light, Najib Ishaq, Noah M. Daniels

Proceedings of the IEEE International Conference on Big Data, 2024

2023

CLAM-Accelerated K-Nearest Neighbors Entropy-Scaling Search of Large High-Dimensional Datasets via an Actualization of the Manifold Hypothesis.

Morgan E. Prior, Thomas J. Howard III, Oliver McLaughlin, Najib Ishaq, Noah M. Daniels

CoRR, 2023

Theia: Bleed-Through Estimation with Convolutional Neural Networks.

Najib Ishaq, Nathan Hotaling, Nicholas Schaub

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Theia: Bleed-Through Estimation with Interaction Terms and Convolutional Kernels.

Najib Ishaq, Nathan Hotaling, Nicholas Schaub

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Clustered Hierarchical Anomaly and Outlier Detection Algorithms.

Najib Ishaq, Thomas J. Howard III, Noah M. Daniels

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

Clustered Hierarchical Entropy-Scaling Search of Astronomical and Biological Data.

Najib Ishaq, George Student, Noah M. Daniels

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019