An Effort Prediction Model Based on BPM Measures for Process Automation. - Banu Aysolmaz; Deniz Iren; Onur Demirörs (BMMDS/EMMSAD, 2013)

AiOLoS: Yazılım Geliştiren Organizasyonlarda Örgütsel Öğrenmeyi Değerleme Modeli. - Oumout Chouseinoglou; N. Alpay Karagöz; Deniz Iren; Güven Özen; Semih Bilgen (UYMS, 2013)

AiOLoS: A model for assessing organizational learning in software development organizations. - Oumout Chouseinoglou; Deniz Iren; N. Alpay Karagöz; Semih Bilgen (Inf. Softw. Technol., 2013)

Utilization of synergetic human-machine clouds: a big data cleaning case. - Deniz Iren; Gökhan Kul; Semih Bilgen (CSI-SE, 2014)

İnsan ve Makine Bulutları Sinerjisi: Kitle Kaynaklı Çalışma ile Veri Temizleme Örnek Uygulaması. - Deniz Iren; Gökhan Kul; Semih Bilgen (UYMS, 2014)

Cost of Quality in Crowdsourcing. - Deniz Iren; Semih Bilgen (Hum. Comput., 2014)

Cost of quality for crowdsourcing management (Kitle kaynaklı çalışma yönetimi için kalite maliyeti) - Deniz Iren (2014)

Using social media to reveal social and collective perspectives on music. - Deniz Iren; Cynthia C. S. Liem; Jie Yang 028; Alessandro Bozzon (WebSci, 2016)

Leveraging business process improvement with natural language processing and organizational semantic knowledge. - Deniz Iren; Hajo A. Reijers (ICSSP, 2017)

Monitoring spatial sustainable development: Semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators. - R. Lyana Curier; Tim J. A. de Jong; Katharina Strauch; Katharina Cramer; Natalie Rosenski; Clara Schartner; Marc Debusschere; Hannah Ziemons; Deniz Iren; Stefano Bromuri (CoRR, 2018)

Detecting Role Inconsistencies in Process Models. - Banu Aysolmaz; Deniz Iren; Hajo A. Reijers (ECIS, 2019)

Preventing Algorithmic Bias in the Development of Algorithmic Decision-Making Systems: A Delphi Study. - Banu Aysolmaz; Deniz Iren; Nancy Dau (HICSS, 2020)

Applying Scrum in Data Science Projects. - Jeroen Baijens; Remko Helms; Deniz Iren (CBI (1), 2020)

Identification and analysis of handovers in organisations using process model repositories. - Michael Leyer; Deniz Iren; Banu Aysolmaz (Bus. Process. Manag. J., 2020)

A method for objective performance benchmarking of teams with process mining and DEA. - Banu Aysolmaz; Marcel Nemeth; Deniz Iren (ECIS, 2021)

Examining the impact of data augmentation for psychomotor skills training in human-robot interaction. - Daniel Majonica; Deniz Iren; Roland Klemke (EC-TEL (Doctoral Consortium), 2021)

Conceptualising immersive multimodal environments for psychomotor skills training. - Khaleel Asyraaf Mat Sanusi; Deniz Iren; Roland Klemke (EC-TEL (Doctoral Consortium), 2021)

Sense the classroom: AI-supported synchronous online education for a resilient new normal. - Krist Shingjergji; Deniz Iren; Corrie C. Urlings; Roland Klemke (EC-TEL (Doctoral Consortium), 2021)

Acceptance of AI for delegating emotional intelligence: Results from an experiment. - Banu Aysolmaz; Michael Leyer; Deniz Iren (HICSS, 2021)

Governance and Communication of Algorithmic Decision Making: A Case Study on Public Sector. - Eric Jonk; Deniz Iren (CBI (1), 2021)

Interpretable Explainability in Facial Emotion Recognition and Gamification for Data Collection. - Krist Shingjergji; Deniz Iren; Felix Böttger; Corrie C. Urlings; Roland Klemke (ACII, 2022)

Privacy-Preserving and Scalable Affect Detection in Online Synchronous Learning. - Felix Böttger; Ufuk Cetinkaya; Daniele Di Mitri; Sebastian Gombert; Krist Shingjergji; Deniz Iren; Roland Klemke (EC-TEL, 2022)

IMPECT-Sports: Using an Immersive Learning System to Facilitate the Psychomotor Skills Acquisition Process. - Khaleel Asyraaf Mat Sanusi; Michal Slupczynski; Mai Geisen; Deniz Iren; Ralf Klamma; Stefanie Klatt; Roland Klemke (MILeS@EC-TEL, 2022)

Experts' Evaluation of a Proposed Taxonomy for Immersive Learning Systems. - Khaleel Asyraaf Mat Sanusi; Deniz Iren; Roland Klemke (GALA, 2022)

Algorithmic Decision Making and Model Explainability Preferences in the Insurance Industry: A Delphi Study. - Eric Schotman; Deniz Iren (CBI (1), 2022)

Ethical Risks, Concerns, and Practices of Affective Computing: A Thematic Analysis. - Deniz Iren; Huseyin Ediz Yildirim; Krist Shingjergji (ACIIW, 2023)

Informative Speech Features based on Emotion Classes and Gender in Explainable Speech Emotion Recognition. - Huseyin Ediz Yildirim; Deniz Iren (ACIIW, 2023)

Exploring Immersive Learning Environments in Human-Robot Interaction Use Cases. - Daniel Majonica; Nardie L. J. A. Fanchamps; Deniz Iren; Roland Klemke (GALA, 2023)

Augmented Reality and Affective Computing for Nonverbal Interaction Support of the Visually Impaired. - Deniz Iren; Krist Shingjergji; Felix Böttger; Corrie C. Urlings; Jelle Meindert Osinga; Sjoerd Van De Goor; Damian Bustowski; Juliette Passariello-Jansen; Roland Klemke (VR Workshops, 2023)

Unilateral Facial Action Unit Detection: Revealing Nuanced Facial Expressions. - Deniz Iren; Daniel Stanley Tan (ACII, 2024)

Shaping and evaluating a system for affective computing in online higher education using a participatory design and the system usability scale. - Krist Shingjergji; Corrie C. Urlings; Deniz Iren; Roland Klemke (LAK, 2024)

Multimodal and immersive systems for skills development and education. - Daniele Di Mitri; Bibeg Limbu; Jan Schneider 001; Deniz Iren; Michail N. Giannakos; Roland Klemke (Br. J. Educ. Technol., 2024)

MILSDeM: Guiding immersive learning system development and taxonomy evaluation. - Khaleel Asyraaf Mat Sanusi; Daniel Majonica; Deniz Iren; Nardie Fanchamps; Roland Klemke (Educ. Inf. Technol., 2024)

Enhancing Room Occupancy Inference from Sparse PIR Sensor Data Using Transformer Models. - Yu Sheng; Ali Ozbakir; Clara Maathuis; Deniz Iren; Stefano Bromuri (SAC, 2025)