Java and SHACL code commented in the paper "Towards compliance checking in reified I/O logic via SHACL" submitted to ICAIL 2021

Related tags

Deep LearningshRIOL
Overview

shRIOL

The subfolder shRIOL contains Java files to execute the SHACL files on the OWL ontology.

To compile the Java files: "javac -cp ./src/;./lib/* -d ./class ./src/DetectViolations.java"
To run compiled class files: "java -cp ./class;./lib/* DetectViolations"

By executing the Java files, the following messages are printed on screen. See the paper for more details and explanations.

The model is not GDPR-compliant. The following violations have been detected:
----------------------------------------------------------------------------------------------
Personal Data Processing: http://w3.org/ns/shRIOL#pdpHans
MESSAGE: The personal data processing is not transparent, as required/defined by Article 12 of the GDPR
EXPLANATION: Specifically, these legal authorities judged one or more communications related to pdpHans as follows:
	- courtA does NOT deem the communication c2Hans enough readable.
	- courtB deems the communication c2Hans enough readable.
----------------------------------------------------------------------------------------------
Personal Data Processing: http://w3.org/ns/shRIOL#pdpLuca
MESSAGE: The personal data processing is not lawful, as required by Art.5(1)(a) and defined by Art.6 of the GDPR.
EXPLANATION: The age of the data subject is below the minimal age for consent in his/her Member State. See Art.8(1) of the GDPR.
----------------------------------------------------------------------------------------------
Some methods for comparing network representations in deep learning and neuroscience.

Generalized Shape Metrics on Neural Representations In neuroscience and in deep learning, quantifying the (dis)similarity of neural representations ac

Alex Williams 45 Dec 27, 2022
Attentional Focus Modulates Automatic Finger‑tapping Movements

"Attentional Focus Modulates Automatic Finger‑tapping Movements", in Scientific Reports

Xingxun Jiang 1 Dec 02, 2021
FLVIS: Feedback Loop Based Visual Initial SLAM

FLVIS Feedback Loop Based Visual Inertial SLAM 1-Video EuRoC DataSet MH_05 Handheld Test in Lab FlVIS on UAV Platform 2-Relevent Publication: Under Re

UAV Lab - HKPolyU 182 Dec 04, 2022
Dynamic hair modeling from monocular videos using deep neural networks

Dynamic Hair Modeling The source code of the networks for our paper "Dynamic hair modeling from monocular videos using deep neural networks" (SIGGRAPH

53 Oct 18, 2022
Project repo for the paper SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition

SILT: Self-supervised Lighting Transfer Using Implicit Image Decomposition (BMVC 2021) Project repo for the paper SILT: Self-supervised Lighting Trans

6 Dec 04, 2022
Bot developed in Python that automates races in pegaxy.

español | português About it: This is a fork from pega-racing-bot. This bot, developed in Python, is to automate races in pegaxy. The game developers

4 Apr 08, 2022
Contenido del curso Bases de datos del DCC PUC versión 2021-2

IIC2413 - Bases de Datos Tabla de contenidos Equipo Profesores Ayudantes Contenidos Calendario Evaluaciones Resumen de notas Foro Política de integrid

54 Nov 23, 2022
Python SDK for building, training, and deploying ML models

Overview of Kubeflow Fairing Kubeflow Fairing is a Python package that streamlines the process of building, training, and deploying machine learning (

Kubeflow 325 Dec 13, 2022
A decent AI that solves daily Wordle puzzles. Works with different websites with similar wordlists,.

Wordle-AI A decent AI that solves daily "Wordle" puzzles. Works with different websites with similar wordlists. When prompted with "Word:" enter the w

Ethan 1 Feb 10, 2022
Deep Markov Factor Analysis (NeurIPS2021)

Deep Markov Factor Analysis (DMFA) Codes and experiments for deep Markov factor analysis (DMFA) model accepted for publication at NeurIPS2021: A. Farn

Sarah Ostadabbas 2 Dec 16, 2022
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Datasets | Website | Raw Data | OpenReview SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning Christopher

67 Dec 17, 2022
Luminaire is a python package that provides ML driven solutions for monitoring time series data.

A hands-off Anomaly Detection Library Table of contents What is Luminaire Quick Start Time Series Outlier Detection Workflow Anomaly Detection for Hig

Zillow 670 Jan 02, 2023
Face and Body Tracking for VRM 3D models on the web.

Kalidoface 3D - Face and Full-Body tracking for Vtubing on the web! A sequal to Kalidoface which supports Live2D avatars, Kalidoface 3D is a web app t

Rich 257 Jan 02, 2023
Code for EmBERT, a transformer model for embodied, language-guided visual task completion.

Code for EmBERT, a transformer model for embodied, language-guided visual task completion.

41 Jan 03, 2023
Article Reranking by Memory-enhanced Key Sentence Matching for Detecting Previously Fact-checked Claims.

MTM This is the official repository of the paper: Article Reranking by Memory-enhanced Key Sentence Matching for Detecting Previously Fact-checked Cla

ICTMCG 13 Sep 17, 2022
Implementation of CSRL from the AAAI2022 paper: Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning

CSRL Implementation of CSRL from the AAAI2022 paper: Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning Python: 3

4 Apr 14, 2022
Telegram chatbot created with deep learning model (LSTM) and telebot library.

Telegram chatbot Telegram chatbot created with deep learning model (LSTM) and telebot library. Description This program will allow you to create very

1 Jan 04, 2022
NEG loss implemented in pytorch

Pytorch Negative Sampling Loss Negative Sampling Loss implemented in PyTorch. Usage neg_loss = NEG_loss(num_classes, embedding_size) optimizer =

Daniil Gavrilov 123 Sep 13, 2022
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies

Deconfounding Temporal Autoencoder (DTA) This is a repository for the paper "Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Tim

Milan Kuzmanovic 3 Feb 04, 2022
Simple transformer model for CIFAR10

CIFAR-Transformer Simple transformer model for CIFAR10. Reference: https://www.tensorflow.org/text/tutorials/transformer https://github.com/huggingfac

9 Nov 07, 2022