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ORCIDAshish Aggarwal
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2020 – today
- 2020
[c16]Caleb O'Malley, Ashish Aggarwal
:
Evaluating the Use and Effectiveness of Ungraded Practice Problems in an Introductory Programming Course. ACE 2020: 177-184- [c15]Leslie Harvey, Ashish Aggarwal:
How do Quiz and Homework Submission Times Affect Students' Performance in a Flipped CS1 Class? ICER 2020: 314
2010 – 2019
- 2019
- [c14]Cruz Izu, Carsten Schulte, Ashish Aggarwal, Quintin I. Cutts, Rodrigo Duran, Mirela Gutica, Birte Heinemann, Eileen T. Kraemer, Violetta Lonati, Claudio Mirolo, Renske Weeda:
Fostering Program Comprehension in Novice Programmers - Learning Activities and Learning Trajectories. ITiCSE (Working Group Reports) 2019: 27-52 - [c13]Cruz Izu, Carsten Schulte, Ashish Aggarwal, Quintin I. Cutts, Rodrigo Duran, Mirela Gutica, Birte Heinemann, Eileen T. Kraemer, Violetta Lonati, Claudio Mirolo, Renske Weeda:
Program Comprehension: Identifying Learning Trajectories for Novice Programmers. ITiCSE 2019: 261-262 - [c12]Ashish Aggarwal, Christina Gardner-McCune, David S. Touretzky:
Evaluating the Effectiveness of Explicit Instruction in Reducing Program Reasoning Fallacies in Elementary Level Students. ITiCSE 2019: 292 - 2018
- [c11]Ashish Aggarwal, David S. Touretzky, Christina Gardner-McCune:
Demonstrating the Ability of Elementary School Students to Reason About Programs. SIGCSE 2018: 735-740 - 2017
- [c10]Ashish Aggarwal, Christina Gardner-McCune, David S. Touretzky:
Evaluating the Effect of Using Physical Manipulatives to Foster Computational Thinking in Elementary School. SIGCSE 2017: 9-14 - [c9]David S. Touretzky, Christina Gardner-McCune, Ashish Aggarwal:
Semantic Reasoning in Young Programmers. SIGCSE 2017: 585-590 - [c8]Ashish Aggarwal:
Neo-Piagetian Classification of Reasoning Ability and Mental Simulation in Microsoft's Kodu Game Lab. SIGCSE 2017: 745-746 - 2016
- [c7]David S. Touretzky, Christina Gardner-McCune, Ashish Aggarwal:
Teaching "Lawfulness" With Kodu. SIGCSE 2016: 621-626
2000 – 2009
- 2006
- [j2]Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose:
A trellis-based optimal parameter value selection for audio coding. IEEE Trans. Speech Audio Process. 14(2): 623-633 (2006) - [j1]Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose:
Efficient bit-rate scalability for weighted squared error optimization in audio coding. IEEE Trans. Speech Audio Process. 14(4): 1313-1327 (2006) - [c6]Ashish Aggarwal, Pankaj Jalote:
Integrating Static and Dynamic Analysis for Detecting Vulnerabilities. COMPSAC (1) 2006: 343-350 - [c5]Ashish Aggarwal, Pankaj Jalote:
Monitoring the Security Health of Software Systems. ISSRE 2006: 146-158 - 2003
- [c4]Ashish Aggarwal, Sang-Uk Ryu, Kenneth Rose:
Efficient scalable coding of stereophonic audio by conditional quantization and estimation-theoretic prediction. ICASSP (5) 2003: 465-468 - 2002
- [c3]Ashish Aggarwal, Kenneth Rose:
A conditional enhancement-layer quantizer for the scalable MPEG advanced Audio Coder. ICASSP 2002: 1833-1836 - 2001
- [c2]Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose:
Asymptotically Optimal Scalable Coding for Minimum Weighted Mean Square Error. Data Compression Conference 2001: 43-52 - [c1]Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose:
Near-optimal selection of encoding parameters for audio coding. ICASSP 2001: 3269-3272
Coauthor Index
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