Digital Transformation for Sustainable Development Goals (SDGs)
a Security, Safety and Privacy Perspective on AI
When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised
Self-Propagating Malware Containment via Reinforcement Learning
Text2PyCode : Machine Translation of Natural Language Intent to Python Source Code
Automated Short Answer Grading using Deep Learning : A Survey
Fair and Adequate Explanations
Mining Causal Hypotheses in Categorical Time Series by Iterating on Binary Correlations
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples
Rice seed image-to-image translation using Generative Adversarial Networks to improve weedy rice image classification
Reliable AI through SVDD and rule extraction
Airbnb Price Prediction Using Machine Learning and Sentiment Analysis
Towards Financial Sentiment Analysis in a South African Landscape
Decisions are not all equal. Introducing a utility metric based on the case-wise raters' perceptions
Deep Convolutional Neural Network(CNN) design for pathology detection of COVID-19 in chest X-Ray Images
Anomaly detection for skin lesion images using replicator neural networks
On the overlap between Grad-CAM saliency maps and explainable visual features in skin cancer images
From Explainable to Reliable Artificial Intelligence
Explanatory Pluralism in Explainable AI
On the Trustworthiness of Tree Ensemble Explainability Methods
Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods
MAIRE
A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
Transparent Ensembles for Covid-19 Prognosis.