Agents
Specication Aware Multi-Agent Reinforcement Learning
Task Bundle Delegation for Reducing the Flowtime
A Detailed Analysis of a Systematic Review about Requirements Engineering Processes for Multi-Agent Systems
Automatically-generated Agent Organizations for Flexible Workow Enactment
Negotiation Considering Privacy Loss on Asymmetric Multi-objective Decentralized Constraint Optimization Problem
Articial Intelligence
Utilizing Out-domain Datasets to Enhance Multi-task Citation Analysis
Using Possibilistic Networks to Compute Learning Course Indicators
Assured Deep Multi-Agent Reinforcement Learning for Safe Robotic Systems
How to Segment Handwritten Historical Chronicles using Fully Convolutional Networks?
On the Relationship with Toulmin Method to Logic-based Argumentation
Informer: An ecient Transformer Architecture using Convolutional Layers
Improving the Generalization of Deep Learning Classication Models in Medical Imaging using Transfer Learning and Generative Adversarial Networks
An Interpretable Word Sense Classier for Human Explainable Chatbot
A Tsetlin Machine Framework for Universal Outlier and Novelty Detection
Adding Supply/Demand Imbalance-sensitivity to Simple Automated Trader-agents
Advances in Measuring Ination within Virtual Economies using Deep Reinforcement Learning
Practical City Scale Stochastic Path Planning with Pre-computation.