francesco-sovrano Goto Github PK
Name: Francesco Sovrano
Type: User
Name: Francesco Sovrano
Type: User
Replication package for the FAccT 2024 paper titled "AI Act Compliance: Software Documentation, Assessment Tools, and their Correlation with Human Judgments."
Replication package for the ICSE-SEIS 2024 paper titled "An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms".
Combining Experience Replay with Exploration by Random Network Distillation
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
Dimensionality-invariante Explanatory Experience Replay for Multi-Agent Reinforcement Learning
Replication package for the AI & Law paper titled "DiscoLQA: zero-shot discourse-based legal question answering on European Legislation".
Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".
Framework for developing Actor-Critic deep RL algorithms (A3C, A2C, PPO, GAE, etc..) in different environments (OpenAI's Gym, Rogue, Sentiment Analysis, Car Controller, etc..) with continuous and discrete action spaces.
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation
A3C and generic hierarchical RL for sentiment analysis tasks
A Gym environment to test the behaviour of RL algorithms when increasing the complexity (i.e. number of exceptions) of the regulation governing the environment. Regulations are implemented as argumentation frameworks.
Extra documentation (knowledge graph, images, etc..) for the paper "Legal Knowledge Extraction for Knowledge Graph Based Question-Answering".
A novel A3C-based architecture for crawling in Rogue's dungeons with Deep Reinforcement Learning
Extensive analysis of user guides in Swiss government-to-citizen software, correlating guide features with canton socio-economic factors.
Python library providing sentiment lexicons. This fork adds support for Python 3.
XARL: Explanation-Aware Reinforcement Learning
An Explanatory AI for education that generates on-demand, expandable explanations.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.