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ORCIDAndrea Pohoreckyj Danyluk
Person information
- affiliation: Williams College, Williamstown, MA, USA
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Journal Articles
- 2020
[j7]Andrea Danyluk, Paul M. Leidig:
ACM data science task force calls for curricula feedback and example courses. ACM SIGCSE Bull. 52(2): 8 (2020)- 2017
- [j6]Andrea Danyluk, Zachary Dodds:
SIGCSE 2018 new educator workshop. ACM SIGCSE Bull. 49(4): 6 (2017) - 2015
- [j5]David Reed, Andrea Danyluk:
SIGCSE 2016 new educators workshop. ACM SIGCSE Bull. 47(4): 6 (2015) - 2010
- [j4]Douglas Baldwin, Alyce Brady, Andrea Pohoreckyj Danyluk, Joel C. Adams
, A. Lawrence:
Case Studies of Liberal Arts Computer Science Programs. ACM Trans. Comput. Educ. 10(1): 4:1-4:30 (2010) - 2000
- [j3]Brendan Davis Burns, Andrea Pohoreckyj Danyluk:
Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-based Neural Networks. Mach. Learn. 38(1-2): 89-107 (2000) - 1999
- [j2]Foster J. Provost, Andrea Pohoreckyj Danyluk:
Problem Definition, Data Cleaning, and Evaluation: A Classifier Learning Case Study. Informatica (Slovenia) 23(1) (1999) - 1996
- [j1]Christopher J. Merz, Michael J. Pazzani, Andrea Pohoreckyj Danyluk:
Tuning Numeric Parameters to Troubleshoot a Telephone-Network Loop. IEEE Expert 11(1): 44-49 (1996)
Conference and Workshop Papers
- 2021
- [c23]Andrea Danyluk, Paul M. Leidig, Andrew D. McGettrick, Lillian N. Cassel, Maureen Doyle, Christian Servin, Karl Schmitt, Andreas Stefik:
Computing Competencies for Undergraduate Data Science Programs: an ACM Task Force Final Report. SIGCSE 2021: 1119-1120 - 2020
- [c22]Andrea Danyluk, Paul M. Leidig, Lillian N. Cassel:
An Update on the ACM Data Science Taskforce. SIGCSE 2020: 635-636 - [c21]Carla E. Brodley, Megan Barry, Aidan Connell, Catherine Gill, Ian Gorton, Benjamin Hescott, Bryan Lackaye, Cynthia LuBien, Leena Razzaq, Amit Shesh, Tiffani L. Williams, Andrea Pohoreckyj Danyluk:
An MS in CS for non-CS Majors: Moving to Increase Diversity of Thought and Demographics in CS. SIGCSE 2020: 1248-1254 - 2019
- [c20]Andrea Danyluk, Scott Buck:
Artificial Intelligence Competencies for Data Science Undergraduate Curricula. AAAI 2019: 9746-9747 - [c19]Andrea Danyluk, Paul M. Leidig, Lillian N. Cassel, Christian Servin:
ACM Task Force on Data Science Education: Draft Report and Opportunity for Feedback. SIGCSE 2019: 496-497 - [c18]Mine Çetinkaya-Rundel, Andrea Danyluk, Jeff Forbes, Michael Posner:
Building Bridges for Data Science Education. SIGCSE 2019: 1249 - 2017
- [c17]Lauren Jane Yu, Andrea Pohoreckyj Danyluk:
Predicting Expressive Bow Controls for Violin and Viola. EvoMUSART 2017: 354-370 - [c16]Farzana Rahman, Suzanne J. Matthews, Kelly A. Shaw, Andrea Danyluk:
Can we really do it?: Conducting Significant Computer Science Research in Primarily Undergraduate Institutions (PUIs) (Abstract Only). SIGCSE 2017: 729 - 2015
- [c15]Andrea Danyluk, Michael J. Jipping, Rhys Price Jones, David Reed, Brad Richards, Richard Wicentowski:
Small or Liberal Arts Colleges Adapting to CS2013: Making It Work (Abstract Only). SIGCSE 2015: 708 - 2014
- [c14]David Reed, Andrea Danyluk, Elizabeth K. Hawthorne, Mehran Sahami, Henry M. Walker:
Experiences mapping and revising curricula with CS2013. SIGCSE 2014: 367-368 - 2013
- [c13]Andrea Danyluk, Steve Roach, Elizabeth K. Hawthorne, Henry MacKay Walker, Ruth E. Anderson, Christa M. Chewar:
ACM/IEEE computer science 2013 exemplar-fest. SIGCSE 2013: 285-286 - [c12]Andrea Danyluk, Nancy M. Amato, Ran Libeskind-Hadas, Lori L. Pollock, Susan H. Rodger:
Making the most of undergraduate research (abstract only). SIGCSE 2013: 758 - 2012
- [c11]Andrea Pohoreckyj Danyluk, Nicholas Arnosti:
Feature Selection via Probabilistic Outputs. ICML 2012 - 2010
- [c10]David Andrew Moore, Andrea Pohoreckyj Danyluk:
Deep Transfer as Structure Learning in Markov Logic Networks. StarAI@AAAI 2010 - [c9]Kim B. Bruce, Andrea Pohoreckyj Danyluk, Thomas P. Murtagh:
Introducing concurrency in CS 1. SIGCSE 2010: 224-228 - 2008
- [c8]Andrea Pohoreckyj Danyluk:
Artificial Intelligence for Non-Majors at Multiple Levels. AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science 2008: 20-25 - 2005
- [c7]Kim B. Bruce, Andrea Pohoreckyj Danyluk, Thomas P. Murtagh:
Why structural recursion should be taught before arrays in CS 1. SIGCSE 2005: 246-250 - 2004
- [c6]Kim B. Bruce, Andrea Pohoreckyj Danyluk:
Event-driven programming facilitates learning standard programming concepts. OOPSLA Companion 2004: 96-100 - 2001
- [c5]Kim B. Bruce, Andrea Pohoreckyj Danyluk, Thomas P. Murtagh:
Event-driven programming is simple enough for CS1. ITiCSE 2001: 1-4 - [c4]Kim B. Bruce, Andrea Pohoreckyj Danyluk, Thomas P. Murtagh:
A library to support a graphics-based object-first approach to CS 1. SIGCSE 2001: 6-10 - 1993
- [c3]Andrea Pohoreckyj Danyluk, Foster J. Provost:
Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network. ICML 1993: 81-88 - 1989
- [c2]Andrea Pohoreckyj Danyluk:
Finding New Rules for Incomplete Theories: Explicit Biases for Induction with Contextual Information. ML 1989: 34-36 - 1987
- [c1]Andrea Pohoreckyj Danyluk:
The Use of Explanations for Similarity-based Learning. IJCAI 1987: 274-276
Editorship
- 2009
- [e2]Andrea Pohoreckyj Danyluk, Léon Bottou, Michael L. Littman:
Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009. ACM International Conference Proceeding Series 382, ACM 2009, ISBN 978-1-60558-516-1 [contents] - 2001
- [e1]Carla E. Brodley, Andrea Pohoreckyj Danyluk:
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001. Morgan Kaufmann 2001, ISBN 1-55860-778-1 [contents]
Coauthor Index
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last updated on 2024-04-25 02:21 CEST by the dblp team
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