Jože M. Rožanec | DeepAI

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∙ 08/07/2023

Worker Activity Recognition in Manufacturing Line Using Near-body Electric Field

Manufacturing industries strive to improve production efficiency and pro...

0 Sungho Suh, et al. ∙

∙ 07/03/2023

Human in the AI loop via xAI and Active Learning for Visual Inspection

Industrial revolutions have historically disrupted manufacturing by intr...

0 Jože M. Rožanec, et al. ∙

∙ 12/19/2022

Robust Anomaly Map Assisted Multiple Defect Detection with Supervised Classification Techniques

Industry 4.0 aims to optimize the manufacturing environment by leveragin...

0 Jože M. Rožanec, et al. ∙

∙ 12/19/2022

Synthetic Data Augmentation Using GAN For Improved Automated Visual Inspection

Quality control is a crucial activity performed by manufacturing compani...

0 Jože M. Rožanec, et al. ∙

∙ 09/28/2022

Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks

We propose using a two-layered deployment of machine learning models to ...

0 Jože M. Rožanec, et al. ∙

∙ 09/28/2022

Forecasting Sensor Values in Waste-To-Fuel Plants: a Case Study

In this research, we develop machine learning models to predict future s...

0 Bor Brecelj, et al. ∙

∙ 09/12/2022

Active Learning and Approximate Model Calibration for Automated Visual Inspection in Manufacturing

Quality control is a crucial activity performed by manufacturing enterpr...

0 Jože M. Rožanec, et al. ∙

∙ 08/03/2022

Neural Dynamic Movement Primitives – a survey

One of the most important challenges in robotics is producing accurate t...

0 Jože M. Rožanec, et al. ∙

∙ 04/12/2022

Enriching Artificial Intelligence Explanations with Knowledge Fragments

Artificial Intelligence models are increasingly used in manufacturing to...

0 Jože M. Rožanec, et al. ∙

∙ 03/21/2022

Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications

Human-centricity is the core value behind the evolution of manufacturing...

0 Jože M. Rožanec, et al. ∙

∙ 10/15/2021

Streaming Machine Learning and Online Active Learning for Automated Visual Inspection

Quality control is a key activity performed by manufacturing companies t...

0 Jože M. Rožanec, et al. ∙

∙ 09/06/2021

Active Learning for Automated Visual Inspection of Manufactured Products

Quality control is a key activity performed by manufacturing enterprises...

0 Elena Trajkova, et al. ∙

∙ 07/05/2021

Knowledge Modelling and Active Learning in Manufacturing

The increasing digitalization of the manufacturing domain requires adequ...

0 Jože M. Rožanec, et al. ∙

∙ 07/05/2021

A Review of Explainable Artificial Intelligence in Manufacturing

The implementation of Artificial Intelligence (AI) systems in the manufa...

0 Georgios Sofianidis, et al. ∙

∙ 05/05/2021

XAI-KG: knowledge graph to support XAI and decision-making in manufacturing

The increasing adoption of artificial intelligence requires accurate for...

0 Jože M. Rožanec, et al. ∙

∙ 04/02/2021

STARdom: an architecture for trusted and secure human-centered manufacturing systems

There is a lack of a single architecture specification that addresses th...

0 Jože M. Rožanec, et al. ∙

∙ 04/01/2021

Semantic XAI for contextualized demand forecasting explanations

The paper proposes a novel architecture for explainable AI based on sema...

0 Jože M. Rožanec, et al. ∙

∙ 03/30/2021

Towards Active Learning Based Smart Assistant for Manufacturing

A general approach for building a smart assistant that guides a user fro...

0 Patrik Zajec, et al. ∙

∙ 03/23/2021

Actionable Cognitive Twins for Decision Making in Manufacturing

Actionable Cognitive Twins are the next generation Digital Twins enhance...

0 Jože M. Rožanec, et al. ∙

∙ 03/23/2021

Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand

Demand forecasting is a crucial component of demand management. While sh...

0 Jože M. Rožanec, et al. ∙

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