Shaikh Quader

According to our database, Shaikh Quader authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates.

Shaikh Quader, Andres Jaramillo, Sumona Mukhopadhyay, Ghadeer Abuoda, Calisto Zuzarte, David Kalmuk, Marin Litoiu, Manos Papagelis

Proceedings of the Proceedings 29th International Conference on Extending Database Technology, 2026

2025

Demo of LearnedWMP: Workload Memory Prediction Using Deep Query Template Representations.

Shaikh Quader, Ghadeer Abuoda, Yonis Abokar, Marin Litoiu, Manos Papagelis

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

2022

VisExPreS: A Visual Interactive Toolkit for User-Driven Evaluations of Embeddings.

Aindrila Ghosh, Mona Nashaat, James Miller, Shaikh Quader

IEEE Trans. Vis. Comput. Graph., 2022

Interpretation of Structural Preservation in Low-Dimensional Embeddings.

Aindrila Ghosh, Mona Nashaat, James Miller, Shaikh Quader

IEEE Trans. Knowl. Data Eng., 2022

Semi-Supervised Ensemble Learning for Dealing with Inaccurate and Incomplete Supervision.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader

ACM Trans. Knowl. Discov. Data, 2022

ML4DM: The second workshop on the emerging applications of machine learning in modern data management.

Amin Kamali, Jarek Szlichta, Calisto Zuzarte, Yueting Chen, Verena Kantere, Shaikh Quader

Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

2021

Context-Based Evaluation of Dimensionality Reduction Algorithms - Experiments and Statistical Significance Analysis.

Aindrila Ghosh, Mona Nashaat, James Miller, Shaikh Quader

ACM Trans. Knowl. Discov. Data, 2021

TabReformer: Unsupervised Representation Learning for Erroneous Data Detection.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader

Trans. Data Sci., 2021

2020

Asterisk: Generating Large Training Datasets with Automatic Active Supervision.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader

Trans. Data Sci., 2020

Author Correction: Customer support ticket escalation prediction using feature engineering.

Lloyd Montgomery, Daniela E. Damian, Tyson Bulmer, Shaikh Quader

Requir. Eng., 2020

WeSAL: Applying Active Supervision to Find High-quality Labels at Industrial Scale.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader

Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019

M-Lean: An end-to-end development framework for predictive models in B2B scenarios.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader, Chad Marston

Inf. Softw. Technol., 2019

2018

A comprehensive review of tools for exploratory analysis of tabular industrial datasets.

Aindrila Ghosh, Mona Nashaat, James Miller, Shaikh Quader, Chad Marston

Vis. Informatics, 2018

Customer support ticket escalation prediction using feature engineering.

Lloyd Montgomery, Daniela E. Damian, Tyson Bulmer, Shaikh Quader

Requir. Eng., 2018

Practical machine learning with python on DSX.

Shaikh Quader, Mark Ryan, Eric Dong, Safura Suleymanova, Rounok Salehin, Shahidul Haque Apu

Proceedings of the 28th Annual International Conference on Computer Science and Software Engineering, 2018

Hybridization of Active Learning and Data Programming for Labeling Large Industrial Datasets.

Mona Nashaat, Aindrila Ghosh, James Miller, Shaikh Quader, Chad Marston, Jean-François Puget

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018