Pinned Repositories
Automating-Regulatory-Compliance-An-Empirical-Study-on-Ranking-Transparency-of-EU-Online-Platforms
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-
Combining Experience Replay with Exploration by Random Network Distillation
Deep-Learning-Based-Multi-Label-Text-Classification-of-UNGA-Resolutions
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
DEER
Dimensionality-invariante Explanatory Experience Replay for Multi-Agent Reinforcement Learning
DiscoLQA
Replication package for the AI & Law paper titled "DiscoLQA: zero-shot discourse-based legal question answering on European Legislation".
DoXpy
Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".
Framework-for-Actor-Critic-deep-reinforcement-learning-algorithms
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.
Generic-Hierarchical-Deep-Reinforcement-Learning-for-Sentiment-Analysis
A3C and generic hierarchical RL for sentiment analysis tasks
Legal-Knowledge-Extraction-for-Knowledge-Graph-Based-Question-Answering
Extra documentation (knowledge graph, images, etc..) for the paper "Legal Knowledge Extraction for Knowledge Graph Based Question-Answering".
Partitioned-A3C-for-RogueInABox
A novel A3C-based architecture for crawling in Rogue's dungeons with Deep Reinforcement Learning
Francesco-Sovrano's Repositories
Francesco-Sovrano/Generic-Hierarchical-Deep-Reinforcement-Learning-for-Sentiment-Analysis
A3C and generic hierarchical RL for sentiment analysis tasks
Francesco-Sovrano/DoXpy
Replication package for the KNOSYS paper titled "An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability".
Francesco-Sovrano/Framework-for-Actor-Critic-deep-reinforcement-learning-algorithms
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.
Francesco-Sovrano/Legal-Knowledge-Extraction-for-Knowledge-Graph-Based-Question-Answering
Extra documentation (knowledge graph, images, etc..) for the paper "Legal Knowledge Extraction for Knowledge Graph Based Question-Answering".
Francesco-Sovrano/Partitioned-A3C-for-RogueInABox
A novel A3C-based architecture for crawling in Rogue's dungeons with Deep Reinforcement Learning
Francesco-Sovrano/Combining--experience-replay--with--exploration-by-random-network-distillation-
Combining Experience Replay with Exploration by Random Network Distillation
Francesco-Sovrano/Automating-Regulatory-Compliance-An-Empirical-Study-on-Ranking-Transparency-of-EU-Online-Platforms
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".
Francesco-Sovrano/Deep-Learning-Based-Multi-Label-Text-Classification-of-UNGA-Resolutions
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
Francesco-Sovrano/DEER
Dimensionality-invariante Explanatory Experience Replay for Multi-Agent Reinforcement Learning
Francesco-Sovrano/DiscoLQA
Replication package for the AI & Law paper titled "DiscoLQA: zero-shot discourse-based legal question answering on European Legislation".
Francesco-Sovrano/From-Philosophy-to-Interfaces-an-Explanatory-Method-and-a-Tool-Inspired-by-Achinstein-s-Theory-of-E
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation
Francesco-Sovrano/SCAR-DL
Francesco-Sovrano/Swiss-G2C-User-Guide-Analysis
Extensive analysis of user guides in Swiss government-to-citizen software, correlating guide features with canton socio-economic factors.
Francesco-Sovrano/XARL
XARL: Explanation-Aware Reinforcement Learning
Francesco-Sovrano/YAI4Edu
An Explanatory AI for education that generates on-demand, expandable explanations.
Francesco-Sovrano/YAI4Hu
Francesco-Sovrano/AI-Act-Compliance-Software-Documentation-Assessment-Tools-and-their-Correlation-with-Human-Judgments
Replication package for the FAccT 2024 paper titled "AI Act Compliance: Software Documentation, Assessment Tools, and their Correlation with Human Judgments."
Francesco-Sovrano/GridDrive
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.
Francesco-Sovrano/pogym
Francesco-Sovrano/VU-sentiment-lexicon
Python library providing sentiment lexicons. This fork adds support for Python 3.