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ToolStackers: A boardgame for SE education
(IEEE, 2020)
We propose a complementary board game that aims to familiarize students with usage of tools in software engineering, their functionality and how they fit together in order to form a tool-stack for modern development paradigms ...
Hydra: Detecting fraud in financial transactions via graph based representation and visual analysis
(IEEE, 2020)
In this paper, we describe a web based tool named Hydra for analyzing financial transaction data with the aim to detect or verify fraudulent activities via visual analysis and graph based querying. Hydra exclusively uses ...
Reduce operations: send volume balancing while minimizing latency
(IEEE, 2020)
Communication hypergraph model was proposed in a two-phase setting for encapsulating multiple communication cost metrics (bandwidth and latency), which are proven to be important in parallelizing irregular applications. ...
Enforcing multilabel consistency for automatic spatio-temporal assessment of shoulder pain intensity
(Association for Computing Machinery, 2020)
The standard clinical assessment of pain is limited primarily to
self-reported pain or clinician impression. While the self-reported
measurement of pain is useful, in some circumstances it cannot
be obtained. Automatic ...
Multimodal interaction in psychopathology
(Association for Computing Machinery, 2020)
This paper presents an introduction to the Multimodal Interaction
in Psychopathology workshop, which is held virtually in conjunction with the 22nd ACM International Conference on Multimodal
Interaction on October 25th, ...
CRSG: a serious game for teaching code review
(Association for Computing Machinery, 2020-11)
The application of code review in a development environment is essential, but this skill is not taught very often in an educational context despite its wide usage. To streamline the teaching process of code review, we ...
Out-of-core Constrained Delaunay Tetrahedralizations for Large Scenes
(Springer, Cham, 2021-05-07)
Tetrahedralization algorithms are used for many applications such as Ray Tracing and Finite Element Methods. For most of the applications, constrained tetrahedralization algorithms are chosen because they can preserve input ...
Analyzing causal relationships in proteomic profiles using CausalPath
(Cell Press, 2021-12-17)
CausalPath (causalpath.org) evaluates proteomic measurements against prior knowledge of biological pathways and infers causality between changes in measured features, such as global protein and phospho-protein levels. It ...
Partitioning models for general medium-grain parallel sparse tensor decomposition
(IEEE, 2021)
The focus of this article is efficient parallelization of the canonical polyadic decomposition algorithm utilizing the alternating least squares method for sparse tensors on distributed-memory architectures. We propose a ...
Unsupervised disentanglement of pose, appearance and background from images and videos
(IEEE, 2021-01-29)
Unsupervised landmark learning is the task of learning semantic keypoint-like representations without the use of expensive input keypoint-level annotations. A popular approach is to factorize an image into a pose and ...