X-CBA: Explainability Aided CatBoosted Anomal-E for Intrusion Detection System
The paper introduces a novel approach to Intrusion Detection Systems (IDS), called X-CBA. This approach leverages the…
Evaluating Large Language Models for Generalization and Robustness via Data Compression
The paper discusses the challenges in evaluating large language models, including data contamination, prompt sensitivity, and benchmark…
Maintaining User Trust Through Multistage Uncertainty Aware Inference
The research evaluates a multistage approach to AI deployment, with each stage involving a more accurate method…
Spatial-temporal-demand clustering for solving large-scale vehicle routing problems with time windows
This academic article discusses a new approach to solving large-scale vehicle routing problems (VRPs) using a machine…
Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process
This academic paper discusses a distributed decision-making approach for task assignment and condition-based machine health maintenance in…
Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs
The article discusses the development of an interactive and intelligent tool for Root Cause Analysis (RCA) in…
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning
The article introduces PetriRL, a new framework for resolving job shop scheduling problems (JSSP) by integrating Petri…
IICONGRAPH: improved Iconographic and Iconological Statements in Knowledge Graphs
The article presents IICONGRAPH, a knowledge graph developed to address gaps in the representation of iconographic and…
Zero-shot Sequential Neuro-symbolic Reasoning for Automatically Generating Architecture Schematic Designs
The paper presents an innovative automated system for generating architectural schematic designs. This system is designed to…
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors
The paper discusses the limitations of the standard evaluation protocol for Knowledge Graph Completion methods, which involves…