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2020 – today
- 2024
[c23]Jonas Gunklach, Mario Nadj, Merlin Knaeble, Isabela Bragaglia, Alexander Mädche:
Designing for Effective Human-Guided Machine Learning Feasibility Analysis. ICIS 2024- 2023
- [j8]Jonas Gunklach
, Sven Michalczyk, Mario Nadj, Alexander Maedche:
Metadata Extraction from User Queries for Self-Service Data Lake Exploration. Datenbank-Spektrum 23(2): 97-105 (2023) - [j7]Mario Nadj, Raphael Rissler, Marc T. P. Adam, Michael T. Knierim, Maximilian Xiling Li, Alexander Maedche, René Riedl:
What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions. MIS Q. 47(4): 1615-1646 (2023) - [j6]Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Nico Loewe, Michael T. Knierim, Alexander Maedche:
To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning. IEEE Trans. Affect. Comput. 14(1): 463-474 (2023) - [j5]Miguel Angel Meza Martínez, Mario Nadj, Moritz Langner, Peyman Toreini, Alexander Maedche:
Does this Explanation Help? Designing Local Model-agnostic Explanation Representations and an Experimental Evaluation Using Eye-tracking Technology. ACM Trans. Interact. Intell. Syst. 13(4): 27:1-27:47 (2023) - [c22]Jonas Gunklach, Mario Nadj:
Guidance in Business Intelligence & Analytics Systems: A Review and Research Agenda. ECIS 2023 - [c21]Merlin Knaeble, Mario Nadj, Luisa Germann, Alexander Maedche:
Tools of Trade of the Next Blue-Collar Job? Antecedents, Design Features, and Outcomes of Interactive Labeling Systems. ECIS 2023 - [c20]Merlin Knaeble, Gabriel Sailer, Zihan Chen, Thorsten Schwarz, Kailun Yang, Mario Nadj, Rainer Stiefelhagen, Alexander Maedche:
AutoChemplete - Making Chemical Structural Formulas Accessible. W4A 2023: 104-115 - [c19]Merlin Knaeble, Gabriel Sailer, Zihan Chen, Thorsten Schwarz, Kailun Yang, Mario Nadj, Rainer Stiefelhagen, Alexander Maedche:
AutoChemplete - Making Chemical Structural Formulas Accessible. W4A 2023: 173-174 - 2022
- [j4]Maximilian Xiling Li, Mario Nadj, Alexander Maedche, Dirk Ifenthaler, Johannes Wöhler:
Towards a Physiological Computing Infrastructure for Researching Students' Flow in Remote Learning. Technol. Knowl. Learn. 27(2): 365-384 (2022) - 2021
- [c18]Sven Michalczyk, Mario Nadj, Harald Beier, Alexander Maedche:
Designing a Self-service Analytics System for Supply Base Optimization. CAiSE Forum 2021: 154-161 - [c17]Sven Michalczyk, Mario Nadj, Alexander Maedche, Christoph Gröger:
Demystifying Job Roles in Data Science: A Text Mining Approach. ECIS 2021 - [c16]Markus Foerste, Mario Nadj, Merlin Knaeble, Alexander Maedche, Leonie Gehrmann, Florian Stahl:
An Interactive Machine Learning System for Image Advertisements. MuC 2021: 574-577 - 2020
- [j3]Mario Nadj, Alexander Maedche, Christian Schieder:
The effect of interactive analytical dashboard features on situation awareness and task performance. Decis. Support Syst. 135: 113322 (2020) - [j2]Mario Nadj, Merlin Knaeble, Maximilian Xiling Li, Alexander Maedche:
Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning. Künstliche Intell. 34(2): 131-142 (2020) - [c15]Nico Loewe, Mario Nadj:
Physio-Adaptive Systems- A State-of-the-Art Review and Future Research Directions. ECIS 2020 - [c14]Sven Michalczyk, Mario Nadj, Darius Azarfar, Alexander Maedche, Christoph Gröger:
A State-of-the-Art Overview and Future Research Avenues of Self-Service Business Intelligence and Analytics. ECIS 2020 - [c13]Merlin Knaeble, Mario Nadj, Alexander Maedche:
Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning. Wirtschaftsinformatik (Zentrale Tracks) 2020: 2-16
2010 – 2019
- 2019
- [c12]Michael T. Knierim, Mario Nadj, Christof Weinhardt:
Flow and Optimal Difficulty in the Portable EEG: On the Potentiality of using Personalized Frequency Ranges for State Detection. CHIRA 2019: 183-190 - [c11]Miguel Angel Meza Martínez, Mario Nadj, Alexander Maedche:
Towards an integrative Theoretical Framework of Interactive Machine Learning Systems. ECIS 2019 - [c10]Michael T. Knierim, Mario Nadj, Maximilian Xiling Li, Christof Weinhardt:
Flow in Knowledge Work Groups - Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor? ICIS 2019 - 2018
- [c9]Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Michael Thomas Knierim, Alexander Maedche:
Got Flow?: Using Machine Learning on Physiological Data to Classify Flow. CHI Extended Abstracts 2018 - [c8]Michael T. Knierim, Mario Nadj, Anuja Hariharan, Christof Weinhardt:
Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks. PhyCS 2018: 42-53 - 2017
- [j1]Raphael Rissler, Mario Nadj, Alexander Maedche, Norbert Koppenhagen:
Flow-Erfassung am Arbeitsplatz: Aktueller Stand der Forschung und innovative Anwendungsszenarien. Wirtschaftsinformatik Manag. 9(6): 12-21 (2017) - [c7]Mario Nadj, Christian Schieder:
Towards a Taxonomy of Real-Time Business Intelligence Systems. ECIS 2017: 33 - [c6]Raphael Rissler, Mario Nadj, Marc T. P. Adam, Alexander Maedche:
Towards an integrative Theoretical Framework of IT-Mediated interruptions. ECIS 2017: 125 - [c5]Raphael Rissler, Mario Nadj, Marc T. P. Adam:
Flow in Information Systems Research: Review, Integrative Theoretical Framework, and Future Directions. Wirtschaftsinformatik 2017 - 2016
- [c4]Mario Nadj, Harshavardhan Jegadeesan, Alexander Maedche, Dirk Hoffmann, Philipp Erdmann:
A Situation Awareness Driven Design for predictive Maintenance Systems: the Case of Oil and gas Pipeline Operations. ECIS 2016 - [c3]Mario Nadj, Christian Schieder:
Quo vadis Real-Time Business Intelligence? A Descriptive literature Review and Future Directions. ECIS 2016: Research Paper 171 - [c2]Mario Nadj, Felix Häußler, Stefan Wenzel, Alexander Maedche:
The Smart Mobile Application Framework (SMAF) - Exploratory Evaluation in the Smart City Context. MKWI 2016: 1367-1378 - 2015
- [c1]Martin Kretzer, Mario Nadj, Alexander Mädche:
The Effect of Recommender Systems on Users' Situation Awareness and Actions. ICIS 2015
Coauthor Index
aka: Alexander Mädche
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