Ayesha Bajwa

According to our database, Ayesha Bajwa authored at least 8 papers between 2018 and 2019.

Collaborative distances:

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

2019

How to Color a French Flag-Biologically Inspired Algorithms for Scale-Invariant Patterning.

Alberto Ancona, Ayesha Bajwa, Nancy A. Lynch, Frederik Mallmann-Trenn

CoRR, 2019

How to Color a French Flag - Biologically Inspired Algorithms for Scale-Invariant Patterning.

Bertie Ancona, Ayesha Bajwa, Nancy A. Lynch, Frederik Mallmann-Trenn

Proceedings of the Structural Information and Communication Complexity, 2019

How Student Background and Topic Impact the Doer Effect in Computational Thinking MOOCs.

Jitesh Maiyuran, Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly

Proceedings of the 2019 IEEE Learning With MOOCS, 2019

Categorizing Resources and Learners for a Finer-Grained Analysis of MOOC Viewing & Doing.

Erik Hemberg, Sagar Biswas, Ayesha Bajwa, Nancy Law, Una-May O'Reilly

Proceedings of the 2019 IEEE Learning With MOOCS, 2019

Analyzing Student Code Trajectories in an Introductory Programming MOOC.

Ayesha Bajwa, Ana Bell, Erik Hemberg, Una-May O'Reilly

Proceedings of the 2019 IEEE Learning With MOOCS, 2019

Student Code Trajectories in an Introductory Programming MOOC.

Ayesha Bajwa, Erik Hemberg, Ana Bell, Una-May O'Reilly

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

2018

Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning.

Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal

CoRR, 2018

Explaining Explanations: An Overview of Interpretability of Machine Learning.

Leilani H. Gilpin, David Bau, Ben Z. Yuan, Ayesha Bajwa, Michael A. Specter, Lalana Kagal

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018