Using Background Colors to Support Program Comprehension in Software Product Lines Janet Feigenspan∗ , Michael Schulze∗ , Maria Papendieck∗ , Christian K¨astner† , Raimund Dachselt∗ , Veit K¨oppen∗ , Mathia

Source URL: wwwiti.cs.uni-magdeburg.de

• Computing
• Software engineering
• Computer programming
• C
• Preprocessor
• Programming language implementation
• C preprocessor
• Color
• Fortran
• Attention
• Working memory

Updated DecemberCurriculum Vitae Philip K. McKinley Department of Computer Science and Engineering

Source URL: www.cse.msu.edu

Optimizing Parallel HPC Applications for Green Energy Sources Cong Wang, Michael Zink and David Irwin Department of Electrical and Computer Engineering University of Massachusetts Amherst {cwang, zink, irwin}@ecs.umass.e

Source URL: www.ecs.umass.edu

• Parallel computing
• Emerging technologies
• Energy economics
• Computer networking
• Sensor node
• Wireless sensor network
• K computer
• Energy proportional computing
• Data-intensive computing
• Energy development
• Sustainable energy
• Renewable energy

Classifying Skewed Data: Importance Weighting to Optimize Average Recall Andrew Rosenberg1 1 Department of Computer Science, Queens College (CUNY), Flushing, NY, USA

Source URL: speech.cs.qc.cuny.edu

• Statistical classification
• Machine learning
• Ensemble learning
• Data mining
• K-nearest neighbors algorithm
• Multiclass classification
• Boosting
• Pitch accent
• Support vector machine
• AdaBoost
• Receiver operating characteristic
• Binary classification

R Foundations and Trends in Theoretical Computer Science Vol. 9, No–210 c 2014 S. Sachdeva and N. K. Vishnoi

Source URL: theory.epfl.ch

B&W Horizontal IAPD with University name (CMYK)

Source URL: apdesign.k-state.edu

• Film
• Fiction
• Lucasfilm
• English-language films
• Films using computer-generated imagery
• Walt Disney Imagineering
• Star Wars
• The Walt Disney Company
• George Lucas

PARAMETER ESTIMATION IN TOTAL VARIATION BLIND DECONVOLUTION S. Derin Babacan1 , Rafael Molina2 , Aggelos K. Katsaggelos1 1 Department of Electrical Engineering and Computer Science

Source URL: decsai.ugr.es

• Statistics
• Mathematical analysis
• Probability
• Probability distributions
• Image processing
• Infinitely divisible probability distributions
• Bayesian statistics
• Signal processing
• Gamma distribution
• Normal distribution
• Deconvolution
• Convolution

Cranking: Combining Rankings Using Conditional Probability Models on Permutations Guy Lebanon John Lafferty School of Computer Science, Carnegie Mellon University, Pittsburgh, PAUSA

Source URL: www.cc.gatech.edu

• Statistics
• Statistical classification
• Statistical theory
• Probability
• Ensemble learning
• K-nearest neighbors algorithm
• Prior probability
• Monte Carlo method

Robust Structural Metric Learning Daryl K. H. Lim Department of Electrical and Computer Engineering, University of California, San Diego, CAUSA Brian McFee

Source URL: bmcfee.github.io

• Statistics
• Information science
• Information retrieval
• Machine learning
• Learning to rank
• Monotone likelihood ratio
• K-nearest neighbors algorithm
• Random sample consensus

EXPERIMENTAL ALGORITHMICS APPLIED TO ON-LINE MACHINE LEARNING Thomas Bartz-Beielstein SPOTSeven Lab, TH K¨ oln, Gummersbach, Germany

Source URL: bioma.ijs.si

• Artificial intelligence
• Machine learning
• Learning
• Theoretical computer science
• Ensemble learning
• Cybernetics
• Data mining
• Online machine learning
• Empirical algorithmics
• Boosting
• Algorithm engineering
• Algorithm