default author photo

Deniz Iren

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

180

TOTAL CITATIONS

1

Scholarly Papers (4)

Actions:
Email selected abstracts
1.

Explainable Machine Learning for Predicting the Mechanical Properties in Bainitic Steels

Number of pages: 20 Posted: 07 Feb 2023
Marc Ackermann, Yao Yao and Deniz Iren
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 61 (951,658)

Abstract:

Loading...

machine learning, explainable artificial intelligence, microstructure, bainite, martensite-austenite

2.

Automated Segmentation of Martensite-Austenite Islands in Bainitic Steel

Number of pages: 25 Posted: 25 Mar 2022
Marc Ackermann, Deniz Iren, Sebastian Wesselmecking, Deekshith Shetty and Ulrich Krupp
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and RWTH Aachen University
Downloads 60 (961,006)
Citation 1

Abstract:

Loading...

Deep learning, Microstructure, bainite, martensite-austenite islands, Detectron2

3.

Employees’ Acceptance of Ai-Based Emotion Analytics from Speech on a Group Level in Virtual Meetings

Number of pages: 31 Posted: 28 Aug 2023
Oliver Behn, Michael Leyer and Deniz Iren
University of Marburg, University of Marburg and affiliation not provided to SSRN
Downloads 44 (1,133,231)

Abstract:

Loading...

emotion analytics, virtual meetings, structural equation modeling, duality approach

4.

Improving Indoor Occupancy Prediction using Graph Neural Networks and Positional Encodings

Number of pages: 13 Posted: 16 Mar 2026
Yu Sheng, Ali Deger Ozbakir, Deniz Iren, Clara Maathuis and Stefano Bromuri
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 15 (1,509,872)

Abstract:

Loading...

Occupancy prediction, spatial embedding, Graph neural networks, Energy management