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MAANA is a tool, associated with the ICSE technical paper -- titled "Using Domain-specific Corpora for Improved Handling of Ambiguity in Requirements", for performing domain-specific handling of ambiguity in requirements. The focus of MAANA is on coordination ambiguity (CA) and prepositional-phrase attachment ambiguity (PAA).

The paper using this repository is ready for publication. This release is so that a DOI can be assigned to this repository.

We implemented a partial convolutional neural network for the imputation of missing remote sensing data. Below is the used for training the partial convolutional neural network (based on modified code from Mathias Gruber: https://github.com/MathiasGruber/PConv-Keras): YL_pconv_layer.py - code for the partial convolutional layer. YL_pconv_model.py - code for the partial convolution model. YL_Partial_Convolution_Training.py - code for training the partial convolutional model.

[2.7.0] - 2021-2-24 Added Added HybridConstructiveHeuristic, which provides the ability to use multiple heuristics with a stochastic sampling search, where a heuristic is chosen from a set of constructive heuristics at the start of each iteration of the stochastic sampler and used for all decisions made during that iteration. The class supports the following strategies for selecting the next heuristic: Heuristic uniformly at random from among the available heuristics. Heuristic chosen using a round robin...

In this release, several bugs were fixed, and PetriNet library was changed

This is a M24Release of Refactoring Option Discoverer.

RungeKutta v0.3.1 Diff since v0.3.0

This is the first release.

LCIO v1.9.1 Diff since v1.9.0

Kumparan's NLP Services

The dendrometer created at the OPEnS Lab - tailored for grapevines - alleviates key failure points in other designs by using zero-thermal expansion carbon fiber, spring tension, and a linear magnetic encoder.

Ridge regression is a key regularization technique that penalizes the L2-norm of the coefficient values in linear regression. One of the challenges of using ridge regression is the need to set a hyperparameter alpha that controls the amount of regularization. Cross-validation is typically used to select the best alpha from a set of candidate values. However, efficient and appropriate selection of alpha can be challenging, particularly in data-driven research where large amounts of data are...

Version one. Template.zip

Changes AADM outputs support @alexmaslenn (#34)

RungeKutta v0.3.2 Diff since v0.3.1

This is the initial release of the software

First release of prototype software, mostly to get a stable snapshot.

This is the M24Release of Rule-based and ML-based Refactoring. This includes ML modeling, forecasting, and event-driven policy based adaptation.

Public data and code repository for Lizard Island CISME metabolism project

This data set includes three components: a) source codes of DDFS3D, b) a user manual and c) validation examples for the triangular element.

This data set includes three components: a) source codes of DDFS3D, b) a user manual and c) validation examples for the triangular element.

We present a new software tool, Ambit-HNMR, for automatic calculation of 1H-NMR chemical shifts of organic compounds. Ambit-HNMR is an open-source software, written in Java, part of the chemoinformatics platform Ambit. Ambit-HNMR software uses a CDK based molecule presentation as connection table where H atoms are treated implicitly. The chemical shifts for each H atom are calculated by means of so called H-atom environments which describe different types of resonance protons. Each H-atom environment consists...

Release for publication

A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.