Description
Book Synopsis.- Artificial Intelligence.
.- Deep Neural Networks for Early Human Embryo Stages Detection in Time Lapse Sequences.
.- Prompt. Exploit. Repeat: Automating Network Security Testing with LLMs.
.- Combining Model Ensembles for Multi-Step Forecasts Using the Example of Flood Levels.
.- What comes after transformers? – A selective survey connecting ideas in deep learning.
.- Multi-Stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach.
.- Detecting Parkinson’s Disease Using the Spiral and Wave Drawing Test by Means of Explainable Deep Learning.
.- Deep and Shallow Machine Learning for Predicting Major Donors.
.- Balancing the Trinity of Feature Selection.
.- On the Feasibility of Learning Bipolar Gradual Argumentation Semantics Using Neural Architectures.
.- Integrity in the AI Era: Collaborative Solutions for Programming Education.
.- Greedy and Local Search-Based Constraint Optimization of the Travelling Salesman Problem.
.- A Model to Manage Security Risks in IoT Systems.
.- Natural Language-Based Reinforcement Learning for Acquiring Commonsense Knowledge from Partial Scenarios.
.- I-AM-Birds (ImB-2): Keep Detecting Amazonian Bird Species.
.- Exploring the Role of Large Language Models in Professiographic Profile Mapping through the Evaluation of Argumentative Writing in Military School Education.
.- A Novel RL Framework for Early Configuration Space Exploration.
.- Using Chatbot Technologies to Understand Natural Language Arguments.
