Andrea Pohoreckyj Danyluk

Affiliations:
  • Williams College, Williamstown, MA, USA


According to our database1, Andrea Pohoreckyj Danyluk authored at least 30 papers between 1987 and 2021.

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Bibliography

2021
Computing Competencies for Undergraduate Data Science Programs: an ACM Task Force Final Report.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

2020
ACM data science task force calls for curricula feedback and example courses.
ACM SIGCSE Bull., 2020

An Update on the ACM Data Science Taskforce.
Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

An MS in CS for non-CS Majors: Moving to Increase Diversity of Thought and Demographics in CS.
Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

2019
ACM Task Force on Data Science Education: Draft Report and Opportunity for Feedback.
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Building Bridges for Data Science Education.
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Artificial Intelligence Competencies for Data Science Undergraduate Curricula.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
SIGCSE 2018 new educator workshop.
ACM SIGCSE Bull., 2017

Can we really do it?: Conducting Significant Computer Science Research in Primarily Undergraduate Institutions (PUIs) (Abstract Only).
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Predicting Expressive Bow Controls for Violin and Viola.
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2017

2015
SIGCSE 2016 new educators workshop.
ACM SIGCSE Bull., 2015

Small or Liberal Arts Colleges Adapting to CS2013: Making It Work (Abstract Only).
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

2014
Experiences mapping and revising curricula with CS2013.
Proceedings of the 45th ACM Technical Symposium on Computer Science Education, 2014

2013
ACM/IEEE computer science 2013 exemplar-fest.
Proceedings of the 44th ACM Technical Symposium on Computer Science Education, 2013

Making the most of undergraduate research (abstract only).
Proceedings of the 44th ACM Technical Symposium on Computer Science Education, 2013

2012
Feature Selection via Probabilistic Outputs.
Proceedings of the 29th International Conference on Machine Learning, 2012

2010
Case Studies of Liberal Arts Computer Science Programs.
ACM Trans. Comput. Educ., 2010

Introducing concurrency in CS 1.
Proceedings of the 41st ACM technical symposium on Computer science education, 2010

Deep Transfer as Structure Learning in Markov Logic Networks.
Proceedings of the Statistical Relational Artificial Intelligence, 2010

2008
Artificial Intelligence for Non-Majors at Multiple Levels.
Proceedings of the Using AI to Motivate Greater Participation in Computer Science, 2008

2005
Why structural recursion should be taught before arrays in CS 1.
Proceedings of the 36th SIGCSE Technical Symposium on Computer Science Education, 2005

2004
Event-driven programming facilitates learning standard programming concepts.
Proceedings of the Companion to the 19th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2004

2001
A library to support a graphics-based object-first approach to CS 1.
Proceedings of the 32rd SIGCSE Technical Symposium on Computer Science Education, 2001

Event-driven programming is simple enough for CS1.
Proceedings of the 6th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, 2001

2000
Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-based Neural Networks.
Mach. Learn., 2000

1999
Problem Definition, Data Cleaning, and Evaluation: A Classifier Learning Case Study.
Informatica (Slovenia), 1999

1996
Tuning Numeric Parameters to Troubleshoot a Telephone-Network Loop.
IEEE Expert, 1996

1993
Small Disjuncts in Action: Learning to Diagnose Errors in the Local Loop of the Telephone Network.
Proceedings of the Machine Learning, 1993

1989
Finding New Rules for Incomplete Theories: Explicit Biases for Induction with Contextual Information.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1987
The Use of Explanations for Similarity-based Learning.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987


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