Andreas Holzinger

Research output

Research output per year 1995 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2023

• 144 Chapter
• 130 Article
• 119 Conference paper
• 39 Book
• 99 More
  • 30 (Old data) Lecture or Presentation
  • 19 Poster
  • 13 Other report
  • 12 Commissioned report
  • 11 Website / Web publication
  • 3 Lecture notes
  • 2 Anthology
  • 2 Paper
  • 2 Diploma Thesis
  • 2 Preprint
  • 1 Abstract
  • 1 Doctoral Thesis
  • 1 Habilitation

Research output per year

Research output per year

Search results

• 2023

  The Cost of Understanding—XAI Algorithms towards Sustainable ML in the View of Computational Cost

  Jean-Quartier, C., Bein, K., Hejny, L., Hofer, E., Andreas, HOLZINGER. & Jeanquartier, F., 4 May 2023, In: Computation. 11, 5, 14 p., 92.

  Research output: Contribution to journal › Article › peer-review

  Open Access
• 2022

  Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning

  Saranti, A., Hudec, M., Mináriková, E., Takáč, Z., Großschedl, U., Koch, C., Pfeifer, B., Angerschmid, A. & Holzinger, A., Dec 2022, In: Machine Learning and Knowledge Extraction. 4, 4, p. 924-953 30 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Effects of Fairness and Explanation on Trust in Ethical AI

  Angerschmid, A., Theuermann, K., Holzinger, A., Chen, F. & Zhou, J., 2022, Machine Learning and Knowledge Extraction - 6th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2022, Proceedings. Holzinger, A., Holzinger, A., Holzinger, A., Kieseberg, P., Tjoa, A. M., Weippl, E. & Weippl, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 51-67 17 p. (Lecture Notes in Computer Science ; vol. 13480 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Fairness and Explanation in AI-Informed Decision Making

  Angerschmid, A., Zhou, J., Theuermann, K., Chen, F. & Holzinger, A., Jun 2022, In: Machine Learning and Knowledge Extraction. 4, 2, p. 556-579 24 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Interpretable Machine Learning with Brain Image and Survival Data

  Eder, M., Moser, E., Andreas, HOLZINGER., Jean-Quartier, C. & Jeanquartier, F., 6 Sept 2022, In: BioMedInformatics. 2, 3, p. 492-510

  Research output: Contribution to journal › Article › peer-review

  Open Access

• State-of-the-Art Explainability Methods with Focus on Visual Analytics Showcased by Glioma Classification

  Gashi, M., Vukovic, M., Jekic, N., Thalmann, S., Holzinger, A., Jean-Quartier, C. & Jeanquartier, F., 19 Jan 2022, In: BioMedInformatics. 2, 1, p. 139-158

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
• 2021

  Mutation-based clustering and classification analysis reveals distinctive age groups and age-related biomarkers for glioma

  Jean-Quartier, C., Jeanquartier, F., Ridvan, A., Kargl, M., Mirza, T., Stangl, T., Markaĉ, R., Jurada, M. & Holzinger, A., Dec 2021, In: BMC Medical Informatics and Decision Making. 21, 1, 77.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Open Data to Support CANCER Science - a Bioinformatics Perspective on Glioma Research

  Jeanquartier, F., Jean-Quartier, C., Stryeck, S. & Holzinger, A., Dec 2021, In: Onco. 1, 2, p. 219-229

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Performing arithmetic using a neural network trained on images of digit permutation pairs

  Bloice, M. D., Roth, P. M. & Holzinger, A., Dec 2021, In: Journal of Intelligent Information Systems. 57, 3, p. 547-562 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• The Next Frontier: AI We Can Really Trust

  Holzinger, A., 2021, Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Proceedings: ECML PKDD 2021. Kamp, M., Koprinska, I., Bibal, A., Bouadi, T., Frénay, B., Galárraga, L., Oramas, J., Adilova, L., Krishnamurthy, Y., Kang, B., Largeron, C., Lijffijt, J., Viard, T., Welke, P., Ruocco, M., Aune, E., Gallicchio, C., Schiele, G. & Pernkopf, F. (eds.). Cham: Springer, p. 427-440 14 p. publons.com/p/52081722/. (Communications in Computer and Information Science; vol. 1524).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

  • Low Data Quality 100%
  • Sensitive Domain 100%
• 2020

  A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms

  Carrington, A. M., Fieguth, P. W., Qazi, H., Holzinger, A., Chen, H. H., Mayr, F. & Manuel, D. G., 6 Jan 2020, In: BMC Medical Informatics and Decision Making. 20, 1, 4.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Open Data for Differential Network Analysis in Glioma

  Jean-Quartier, C., Jeanquartier, F. & Holzinger, A., Jan 2020, In: International Journal of Molecular Sciences. 21, 2, 17 p., 547.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Property-Based Testing for Parameter Learning of Probabilistic Graphical Models

  Saranti, A., Taraghi, B., Ebner, M. & Holzinger, A., 1 Jan 2020, Machine Learning and Knowledge Extraction: CD-MAKE 2020. Holzinger, A., Kieseberg, P. & Min Tjoa, A. (eds.). Springer, Cham, p. 499-515 17 p. (Lecture Notes in Computer Science; vol. 12279).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Recommender systems in the healthcare domain: state-of-the-art and research issues

  Tran, T. N. T., Felfernig, A., Trattner, C. & Holzinger, A., 17 Dec 2020, (E-pub ahead of print) In: Journal of Intelligent Information Systems. p. 1-31 32 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
• 2019

  Biomedical image augmentation using Augmentor

  Bloice, M. D., Roth, P. M. & Holzinger, A., 2019, In: Bioinformatics. 35, 21, p. 4522-4524

  Research output: Contribution to journal › Article › peer-review

• Developments in transduction, connectivity and AI/machine learning for point-of-care testing

  O’Sullivan, S., Ali, Z., Jiang, X., Abdolvand, R., Ünlü, M. S., Silva, H. P. D., Baca, J. T., Kim, B., Scott, S., Sajid, M. I., Moradian, S., Mansoorzare, H. & Holzinger, A., 2 Apr 2019, In: Sensors . 19, 8, 1917.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome

  Hassler, A. P., Menasalvas, E., García-García, F. J., Rodríguez-Mañas, L. & Holzinger, A., 18 Feb 2019, In: BMC Medical Informatics and Decision Making. 19, 1, 33.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Insights into Learning Competence Through Probabilistic Graphical Models

  Saranti, A., Taraghi, B., Ebner, M. & Holzinger, A., 2 Sept 2019, Machine Learning and Knowledge Extraction: Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26–29, 2019, Proceedings. Holzinger, A., Kieseberg, P., Tjoa, A. M. & Weippl, E. (eds.). Cham: Springer International Publishing AG , p. 250-271 (Lecture Notes in Computer Science; vol. 11713).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Patch augmentation: Towards efficient decision boundaries for neural networks

  Bloice, M. D., Roth, P. M. & Holzinger, A., 8 Nov 2019, (arXiv.org e-Print archive).

  Research output: Working paper › Preprint

• Performing Arithmetic Using a Neural Network Trained on Digit Permutation Pairs

  Bloice, M. D., Roth, P. M. & Holzinger, A., 6 Dec 2019, (arXiv.org e-Print archive).

  Research output: Working paper › Preprint

  • Trained Neural Network 100%
  • handwritten digit 100%
  • Trained Network 50%

• Use case driven evaluation of open databases for pediatric cancer research

  Jeanquartier, F., Jean-Quartier, C. & Holzinger, A., 15 Jan 2019, In: BioData Mining. 12, 1, p. 2 20 p., 2.

  Research output: Contribution to journal › Article › peer-review

  Open Access
• 2018

  Current Advances, Trends and Challenges of Machine Learning and Knowledge Extraction: From Machine Learning to Explainable AI

  Holzinger, A., Kieseberg, P., Weippl, E. & Tjoa, A. M., 2018, Machine Learning and Knowledge Extraction. CD-MAKE 2018. Springer International, p. 1-8 (Lecture Notes in Computer Science; vol. 11015).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  File

• Dimensionality Reduction for Exploratory Data Analysis in Daily Medical Research

  Girardi, D. & Holzinger, A., 21 Apr 2018, Advanced Data Analytics in Health. Giabbanelli, P. J., Mago, V. K. & Papageorgiou, E. I. (eds.). Cham: Springer International, p. 3-20

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  Open Access

  File

• Explainable AI: The new 42?

  Goebel, R., Chander, A., Holzinger, K., Lecue, F., Akata, Z., Stumpf, S., Kieseberg, P. & Holzinger, A., 1 Jan 2018, Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Proceedings. Springer Verlag Heidelberg, p. 295-303 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11015 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Explainable AI (ex-AI)

  Holzinger, A., 26 May 2018, In: Informatik-Spektrum. 41, 2, p. 138-143

  Research output: Contribution to journal › Article › peer-review

  Open Access

• From Machine Learning to Explainable AI

  Holzinger, A., 25 Aug 2018, IEEE 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA). New York: IEEE Computer Society, p. 55-66

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• In silico cancer research towards 3R

  Jean-Quartier, C., Jeanquartier, F., Jurisica, I. & Holzinger, A., 12 Apr 2018, In: BMC Cancer. 18, 1, 408.

  Research output: Contribution to journal › Article › peer-review

• Interactive machine learning: experimental evidence for the human in the algorithmic loop: A case study on Ant Colony Optimization

  Holzinger, A., Plass, M., Kickmeier-Rust, M., Holzinger, K., Crisan, G. C., Pintea, C. M. & Palade, V., 7 Dec 2018, (E-pub ahead of print) In: Applied Intelligence. 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access
• 2017

  A Tutorial on Machine Learning and Data Science Tools with Python

  Bloice, M. D. & Holzinger, A., 3 Feb 2017, Machine Learning for Health Informatics. Lecture Notes in Artificial Intelligence LNAI 9605. Cham: Springer International, p. 435-480 (Lecture Notes in Computer Science; vol. 9605).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  Open Access

  File

• Gesture-Based Interactions in Video Games with the Leap Motion Controller

  Pirker, J., Pojer, M., Holzinger, A. & Gütl, C., 2017, Human-Computer Interaction. User Interface Design, Development and Multimodality: HCI 2017. p. 620-633 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); no. 10271).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Controlled Input 100%
  • Time Experience 100%
  • Usability Issue 100%

• Interactive Anonymization for Privacy aware Machine Learning

  Malle, B., Kieseberg, P. & Holzinger, A., 2017, CEUR Workshop Proceedings. CEUR-WS, Vol. 1924. p. 15 - 26

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  File

• Machine Learning and Knowledge Extraction in Digital Pathology needs an integrative approach

  Holzinger, A., Malle, B., Kieseberg, P., Müller, H., Reihs, R. & Zatloukal, K., 2017, Towards Integrative Machine Learning and Knowledge Extraction: BIRS Workshop, Banff, AB, Canada, July 24-26, 2015, Revised Selected Papers. Holzinger, A., Goebel, R., Ferri, M. & Palade, V. (eds.). Cham: Springer, (Lecture Notes in Computer Science; vol. 10344).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Machine Learning Notation Tutorial

  Holzinger, A., 16 Jan 2017

  Research output: Other contribution › Lecture notes

• Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning

  Robert, S., Büttner, S., Röcker, C. & Holzinger, A., 8 Apr 2017, Machine Learning for Health Informatics . Springer, p. 357-376 (Lecture Notes in Computer Science; vol. LNAI 9605).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  Open Access

  File
• 2016

  A Field Study of a Video Supported Seamless-Learning-Setting with Elementary Learners

  Fößl, T., Ebner, M., Schön, S. & Holzinger, A., 2016, In: Educational Technology & Society. 19, 1, p. 321-336

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Learner 100%
  • Learning 100%
  • Field of Study 100%
  • Field Study 100%
  • Groups 100%

• An Adaptive Annotation Approach for Biomedical Entity and Relation Recognition

  Yimam, S. M., Biemann, C., Majnaric, L., Sabanovic, S. & Holzinger, A., 31 Oct 2016, In: Brain Informatics. 3, 3, p. 157-168

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Application of Graph Entropy for Knowledge Discovery and Data Mining

  Calero Valdez, A., Dehmer, M. & Holzinger, A., 24 Sept 2016, Mathematical Foundations and Applications of Graph Entropy. Dehmer, M., Emmert-Streib, F., Chen, Z., Li, X. & Shi, Y. (eds.). John Wiley & Sons, Inc, p. 259-276 (Quantitative and Network Biology Series).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

• A Tamper-Proof Audit and Control-System for the Doctor in the Loop

  Kieseberg, P., Malle, B., Frühwirt, P., Weippl, E. & Holzinger, A., 15 Nov 2016, In: Brain Informatics. 3, 4, p. 269-279

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Availability, Reliability, and Security in Information Systems: IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016 and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Proceedings

  Buccafurri, F. (ed.), Holzinger, A. (ed.), Kieseberg, P. (ed.), Tjoa, A. M. (ed.) & Weippl, E. (ed.), 2016, Heidelberg, Berlin: Springer. 300 p. (Lecture Notes in Computer Science; vol. 9817)

  Research output: Book/Report › Book › peer-review

• Big Data of Complex Networks

  Dehmer, M. (ed.), Emmert-Streib, F. (ed.), Pickl, S. (ed.) & Holzinger, A. (ed.), 16 Sept 2016, Boca Raton, London, New York: CRC Press Taylor & Francis Group. 320 p.

  Research output: Book/Report › Book › peer-review

  File

• Information Technology in Bio- and Medical Informatics Springer Lecture Notes in Computer Science LNCS 9832

  Renda, M. E. (ed.), Bursa, M. (ed.), Holzinger, A. (ed.) & Khuri, S. (ed.), 2 Sept 2016, Cham (Switzerland): Springer.

  Research output: Book/Report › Book › peer-review

  Open Access

  File

• In Silico Modeling For Tumor Growth Visualization

  Jeanquartier, F., Jean-Quartier, C., Cemernek, D. & Holzinger, A., Aug 2016, In: BMC Systems Biology. 10, 1, p. 1-5 10:59.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Research 100%
  • Tumor Progression 100%
  • Tools 50%
  • Bioinformatics Software 40%
  • Cytoscape 33%

• Integrating Open Data on Cancer in Support to Tumor Growth Analysis

  Jeanquartier, F., Jean-Quartier, C., Schreck, T., Cemernek, D. & Holzinger, A., 10 Aug 2016, Information Technology in Bio- and Medical Informatics. ITBAM 2016. Cham: Springer, p. 49-66 (Lecture Notes in Computer Science; vol. 9832).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File

• Interactive Knowledge Discovery with the Doctor-in-the-Loop: A Practical Example of Cerebral Aneurysms Research

  Girardi, D., Küng, J., Kleiser, R., Sonnberger, M., Csillag, D., Trenkler, J. & Holzinger, A., 10 Sept 2016, In: Brain Informatics. 3, 3, p. 133-143

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Interactive Machine Learning (iML)

  Holzinger, A., 2016, In: Informatik-Spektrum. 39, 1, p. 64-68

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

• Interactive Machine Learning (iML): a challenge for Game-based approaches

  Holzinger, A., Plass, M. & Kickmeier-Rust, M., 19 Nov 2016.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

• Interactive Machine Learning for Health Informatics: When do we need the human-in-the-loop?

  Holzinger, A., 17 May 2016, In: Brain Informatics. 3, 2, p. 119-131 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

• Knowledge Discovery from Complex High Dimensional Data

  Lee, S. & Holzinger, A., 10 Jul 2016, Solving Large Scale Learning Tasks. Challenges and Algorithms: Springer Lecture Notes in Artificial Intelligence LNAI 9580. Michaelis, S., Piatkowski, N. & Stolpe, M. (eds.). Heidelberg, Berlin, New York: Springer International, p. 148-167 167 p. ( Lecture Notes in Computer Science book series; vol. LNAI, volume 9580).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  Open Access

  File

• Machine Learning for Health Informatics

  Holzinger, A., 22 Dec 2016, Machine Learning for Health Informatics: State-of-the-Art and Future Challenges, Lecture Notes in Artificial Intelligence LNAI 9605. Holzinger, A. (ed.). Cham: Springer International, p. 1-24 (Lecture Notes in Computer Science; vol. LNAI 9605).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  File

• Machine Learning for Health Informatics: State-of-the-Art and Future Challenges: Lecture Notes in Artificial Intelligence

  Holzinger, A. (ed.), 12 Dec 2016, Cham: Springer International. 503 p.

  Research output: Book/Report › Book › peer-review