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Andrea Danyluk
Andrea Danyluk
Global Director of ALIGN, Northeastern University
Verified email at northeastern.edu
Title
Cited by
Cited by
Year
Small disjuncts in action: learning to diagnose errors in the local loop of the telephone network
AP Danyluk, F Provost
Proc. of Tenth International Conference on Machine Learning, 81-88, 2014
1022014
The Use of Explanations for Similarity-based Learning.
AP Danyluk
IJCAI, 274-276, 1987
771987
A library to support a graphics-based object-first approach to CS 1
KB Bruce, A Danyluk, T Murtagh
ACM SIGCSE Bulletin 33 (1), 6-10, 2001
732001
Finding new rules for incomplete theories: Explicit biases for induction with contextual information
AP Danyluk
Proceedings of the sixth international workshop on Machine learning, 34-36, 1989
531989
Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science
M Sahami, A Danyluk, S Fincher, K Fisher, D Grossman, E Hawthorne, ...
Association for Computing Machinery (ACM)-IEEE Computer Society, 2013
412013
Event-driven programming is simple enough for CS1
KB Bruce, AP Danyluk, TP Murtagh
ACM SIGCSE Bulletin 33 (3), 1-4, 2001
402001
Java: An eventful approach
KB Bruce, AP Danyluk, TP Murtagh
Pearson Prentice Hall, 2006
382006
Introducing concurrency in CS 1
KB Bruce, A Danyluk, T Murtagh
Proceedings of the 41st ACM technical symposium on Computer science …, 2010
352010
Why structural recursion should be taught before arrays in CS 1
KB Bruce, A Danyluk, T Murtagh
ACM SIGCSE Bulletin 37 (1), 246-250, 2005
232005
Computer science curricula 2013
M Sahami, A Danyluk, S Fincher, K Fisher, D Grossman, E Hawthrone, ...
Association for Computing Machinery and IEEE Computer Society, 2013
212013
Event-driven programming facilitates learning standard programming concepts
KB Bruce, A Danyluk
Companion to the 19th annual ACM SIGPLAN conference on Object-oriented …, 2004
172004
Learning from bad data
F Provost, A Danyluk
Proceedings of the ML-95 Workshop on Applying Machine Learning in Practice, 1995
171995
Case studies of liberal arts computer science programs
D Baldwin, A Brady, A Danyluk, J Adams, A Lawrence
ACM Transactions on Computing Education (TOCE) 10 (1), 4, 2010
122010
Using robotics to motivate learning in an AI course for non-majors
AP Danyluk
AAAI spring symposium, March, 22-24, 2004
122004
Feature selection vs theory reformulation: A study of genetic refinement of knowledge-based neural networks
BD Burns, AP Danyluk
Machine Learning 38 (1-2), 89-107, 2000
122000
Tuning numeric parameters to troubleshoot a telephone-network loop
CJ Merz, MJ Pazzani, AP Danyluk
IEEE Expert 11 (1), 44-49, 1996
111996
Problem Definition, Data Cleaning, and Evaluation: A Classi er Learning Case Study
F Provost, AP Danyluk
Informatica, 1999
81999
Feature selection via probabilistic outputs
A Danyluk, N Arnosti
arXiv preprint arXiv:1206.6383, 2012
52012
Java: An eventful approach
K Bruce, A Danyluk, T Murtagh
Journal of Computing Sciences in Colleges 19 (5), 64-65, 2004
52004
Events and objects first: an innovative approach to teaching JAVA in CS 1
KB Bruce, A Danyluk, T Murtagh
Journal of Computing Sciences in Colleges 16 (4), 1, 2001
52001
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