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ORCIDManoj Thulasidas
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2020 – today
- 2024
[c10]Manoj Thulasidas
:
Flipped Classroom for Linear Algebra at Undergraduate Level. EDUCON 2024: 1-9- [c9]Manoj Thulasidas, David Lo:
The Grader: A Grading Assistant for Lab Tests and a Teaching Tool. EDUCON 2024: 1-10 - 2023
- [c8]Manoj Thulasidas, Kyong Jin Shim, Jonathan Teo:
Peer Learning in an Undergraduate Linear Algebra Course - A Social Network Analysis. TALE 2023: 1-8 - 2022
- [c7]Manoj Thulasidas:
A Quality Metric for K-Means Clustering Based on Centroid Locations. ADMA (2) 2022: 208-222 - [c6]Manoj Thulasidas:
A Recommendation on How to Teach K-Means in Introductory Analytics Courses. TALE 2022: 46-53 - [c5]Manoj Thulasidas, Aldy Gunawan:
Cold Calls to Enhance Class Participation and Student Engagement. TALE 2022: 699-702 - 2021
- [c4]Manoj Thulasidas:
Statistical Moderation: A Case Study in Grading on a Curve. TALE 2021: 734-739 - 2020
- [c3]Manoj Thulasidas:
Nearest Centroid: A Bridge between Statistics and Machine Learning. TALE 2020: 9-16 - [c2]Manoj Thulasidas:
Secure Answer Book and Automatic Grading. TALE 2020: 564-569
2010 – 2019
- 2018
- [c1]Manoj Thulasidas:
A Quality Metric for K-Means Clustering. ICNC-FSKD 2018: 752-757
2000 – 2009
- 2007
- [j1]Ranganatha Sitaram, Haihong Zhang, Cuntai Guan, Manoj Thulasidas, Yoko Hoshi, Akihiro Ishikawa, Koji Shimizu, Niels Birbaumer:
Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface. NeuroImage 34(4): 1416-1427 (2007)
Coauthor Index
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last updated on 2024-07-23 21:55 CEST by the dblp team
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