Heather Christine Klug

About
Privacy
Disclaimer

Graph Chatbot

Related publications (18)

Improving Human-Compiler Interaction Through Customizable Type Feedback

Martin Odersky, Heather Christine Klug, Hubert Plociniczak

Type errors reported by compilers can sometimes be cryptic, or difficult to understand. In this paper, we propose a type debugging framework that exposes a high-level representation of the typechecking decision-making process that users normally do not hav ...

2014

Spores: A Type-Based Foundation for Closures in the Age of Concurrency and Distribution

Martin Odersky, Heather Christine Klug, Philipp Haller

Functional programming (FP) is regularly touted as the way forward for bringing parallel, concurrent, and distributed programming to the mainstream. The popularity of the rationale behind this viewpoint (immutable data transformed by function application) ...

2014

Functional Programming For All! Scaling a MOOC for Students and Professionals Alike

Martin Odersky, Heather Christine Klug, Philipp Haller, Lukas Rytz

Massive open online courses (MOOCs) have launched a scale shift in higher education, with several individual MOOCs now boasting tens or hundreds of thousands of participants worldwide. Our MOOC on the principles of functional programming has more than 100, ...

2014

RAY: Integrating Rx and Async for Direct-Style Reactive Streams

Heather Christine Klug, Philipp Haller

Languages like F#, C#, and recently also Scala, provide “async” extensions which aim to make asynchronous programming easier by avoiding an inversion of control that is inherent in traditional callback-based programming models (for the purpose of this pape ...

2013

FlowPools: A Lock-Free Deterministic Concurrent Dataflow Abstraction

Martin Odersky, Heather Christine Klug, Philipp Haller, Aleksandar Prokopec, Tobias Schlatter

2012

Parallelizing Machine Learning- Functionally: A Framework and Abstractions for Parallel Graph Processing

Heather Christine Klug, Philipp Haller

Implementing machine learning algorithms for large data, such as the Web graph and social networks, is challenging. Even though much research has focused on making sequential algorithms more scalable, their running times continue to be prohibitively long. ...

2011

Tools and Frameworks for Big Learning in Scala: Leveraging the Language for High Productivity and Performance

Martin Odersky, Heather Christine Klug, Philipp Haller

2011

On The Road To A Neuroprosthetic Hand: A Novel Hand Grasp Orthosis Based on Functional Electrical Stimulation

José del Rocio Millán Ruiz, Heather Christine Klug, Robert Leeb, Michele Tavella, Miguel Joaquin Gubler

To patients who have lost the functionality of their hands as a result of a severe spinal cord injury or brain stroke, the development of new techniques for grasping is indispensable for reintegration and independency in daily life. Functional Electrical S ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Page 2 of 2