Mario Nadj

About Mario Nadj

Mario Nadj, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Karlsruher Institut für Technologie, specializes in the field of Business Intelligence & Analytics, Physiological Computing & Physiolytics, Artificial Intelligence & Machine Learning, Intellige.

His recent articles reflect a diverse array of research interests and contributions to the field:

Paintings, Not Noise—The Role of Presentation Sequence in Labeling

Does this Explanation Help? Designing Local Model-agnostic Explanation Representations and an Experimental Evaluation Using Eye-tracking Technology

What disrupts flow in office work? The impact of frequency and relevance of IT-mediated interruptions

Metadata extraction from user queries for self-service data lake exploration

AutoChemplete-Making Chemical Structural Formulas Accessible

Guidance in Business Intelligence & Analytics Systems: A Review and Research Agenda

Tools of Trade of the Next Blue-Collar Job? Antecedents, Design Features, and Outcomes of Interactive Labeling Systems

Towards a Physiological Computing Infrastructure for Researching Students’ Flow in Remote Learning: Preliminary Results from a Field Study

Mario Nadj Information

University

Position

___

Citations(all)

367

Citations(since 2020)

333

Cited By

91

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Mario Nadj Skills & Research Interests

Business Intelligence & Analytics

Physiological Computing & Physiolytics

Artificial Intelligence & Machine Learning

Intellige

Top articles of Mario Nadj

Paintings, Not Noise—The Role of Presentation Sequence in Labeling

Interacting with Computers

2024/3/15

Does this Explanation Help? Designing Local Model-agnostic Explanation Representations and an Experimental Evaluation Using Eye-tracking Technology

ACM Transactions on Interactive Intelligent Systems

2023/12/8

What disrupts flow in office work? The impact of frequency and relevance of IT-mediated interruptions

MIS QUARTERLY

2023/12/1

Mario Nadj
Mario Nadj

H-Index: 5

Alexander Maedche
Alexander Maedche

H-Index: 34

Metadata extraction from user queries for self-service data lake exploration

Datenbank-Spektrum

2023/7

Mario Nadj
Mario Nadj

H-Index: 5

Alexander Maedche
Alexander Maedche

H-Index: 34

AutoChemplete-Making Chemical Structural Formulas Accessible

2023/4/30

Guidance in Business Intelligence & Analytics Systems: A Review and Research Agenda

2023

Mario Nadj
Mario Nadj

H-Index: 5

Tools of Trade of the Next Blue-Collar Job? Antecedents, Design Features, and Outcomes of Interactive Labeling Systems

2023

Towards a Physiological Computing Infrastructure for Researching Students’ Flow in Remote Learning: Preliminary Results from a Field Study

Technology, Knowledge and Learning

2022/6

Paintings, not Noise-The Role of Variety and Self-Determination in Labeling Work and its Effects on Psychological and Performance Outcomes

CHI 2022 Workshop-Self-Determination Theory in HCI: Shaping a Research Agenda

2022

Toward User-adaptive Interactive Labeling on Crowdsourcing Platforms

CHI 2022 Workshop-REGROW: Reimagining Global Crowdsourcing for Better Human-AI Collaboration

2022

An interactive machine learning system for image advertisements

2021/9/5

Designing a self-service analytics system for supply base optimization

2021/6/15

Demystifying job roles in data science: a text mining approach

2021

Mario Nadj
Mario Nadj

H-Index: 5

Alexander Maedche
Alexander Maedche

H-Index: 34

A state-of-the-art overview and future research avenues of self-service business intelligence and analytics

2020

To be or not to be in flow at work: physiological classification of flow using machine learning

IEEE transactions on affective computing

2020/12/16

Mario Nadj
Mario Nadj

H-Index: 5

Alexander Maedche
Alexander Maedche

H-Index: 34

The effect of interactive analytical dashboard features on situation awareness and task performance

Decision support systems

2020/8/1

Mario Nadj
Mario Nadj

H-Index: 5

Alexander Maedche
Alexander Maedche

H-Index: 34

Physio-Adaptive Systems-A State-of-the-Art Review and Future Research Directions.

2020/6/15

Mario Nadj
Mario Nadj

H-Index: 5

Power to the oracle? design principles for interactive labeling systems in machine learning

KI-Künstliche Intelligenz

2020/6

Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning.

2020/3

See List of Professors in Mario Nadj University(Karlsruher Institut für Technologie)

Co-Authors

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