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Pay what you want for a collection of great 2D art assets in The Humble 2D Game Dev Bundle!
The Humble 2D Game Dev Bundle launched on Wednesday, July 31 at 11 a.m. Pacific time. We've teamed up with Game Dev Market to bring you a collection of 2D art assets! Get collections like Chests n' Keys, Soldiers Pack, and Skeleton Army. -
Pay what you want for The Humble Book Bundle: Data Analysis & Machine Learning by O’Reilly!
The Humble Book Bundle: Data Analysis & Machine Learning by O'Reilly just launched on Monday, July 29 at 11 a.m. Pacific time! Get ebooks like Advanced Analytics with Spark, Natural Language Processing with PyTorch, and Practical Statistics for Data Scientists. -
Pay what you want for The Humble Unity Game Development Bundle
The Humble Unity Game Development Bundle just launched on Wednesday, July 10 at 11 a.m. Pacific time! We teamed up with GameDev.tv for our latest bundle to help you learn how to develop, design, and sell indie games. Get online courses like Unity 3D Game Kit, How to Get A Job in the Video Game Industry, RPG Core Combat Creator, and Complete C# Unity Developer 2D. -
The Computer Games Journal: Call for Papers for 2020
The Computer Games Journal welcomes original, up-to-date research and reflections on games development and industry issues, including research papers, review papers, rebuttals and book reviews. -
Name your own price for The Humble Book Bundle: Programmable Boards by Make Community
The Humble Book Bundle: Programmable Boards by Make Community just launched on Monday, July 8 at 11 a.m. Pacific time! Get ebooks like Jumpstarting C, Make: Bluetooth, Making Things Smart, Make a Raspberry Pi-Controlled Robot, and Getting Started with the Photon. -
Learner modeling for adaptive scaffolding in a Computational Thinking-based science learning environment
Learner modeling has been used in computer-based learning environments to model learners’ domain knowledge, cognitive skills, and interests, and customize their experiences in the environment based on this information. -
Robust Statistical Methods for Empirical Software Engineering
There have been many changes in statistical theory in the past 30 years, including increased evidence that non-robust methods may fail to detect important results. The statistical advice available to software engineering researchers needs to be updated to address these issues. -
A survey of decision making methods based on certain hybrid soft set models
Fuzzy set theory, rough set theory and soft set theory are all generic mathematical tools for dealing with uncertainties. -
Multi-criteria decision-making method based on single-valued neutrosophic linguistic Maclaurin symmetric mean operators
This paper investigates a wide range of generalized Maclaurin symmetric mean (MSM) aggregation operators, such as the generalized arithmetic MSM and the generalized geometric MSM, whose predominant characteristic is capturing the interrelationships among multi-input arguments. -
Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision
As a convex relaxation of the rank minimization model, the nuclear norm minimization (NNM) problem has been attracting significant research interest in recent years.
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