Profile Page Prof. Dr. Damian Borth

Profile Picture
Name Damian Borth
Title Prof. Dr.
Function
Institute/School ICS - Institute of Computer Science
Address School of Computer Science (SCS) - Institute of Computer Science (ICS-HSG)
Büro 61-510
Rosenbergstrasse 30
9000 St. Gallen
Schweiz
Email address damian.borth@unisg.ch
Phone +41 71 224 26 27
Twitter https://twitter.com/damianborth
Google Scholar https://scholar.google.de/citations?user=J-8Z038AAAAJ
Main Focuses Maschinelles Lernen, Deep Learning, Künstliche Intelligenz, Satelliten Bildanalyse
Education
Affiliations

Latest Additions (all)

  1. Item Schreyer, Marco; Sattarov, Timur & Borth, Damian: Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks. 2021. - ACM International Conference on Artificial Intelligence in Finance (ICAIF). - London, United Kingdom. [img]
  2. Item Krappel, Tim; Bogun, Alex & Borth, Damian: Heterogeneous Ensemble for ESG Ratings Prediction. 2021. - KDD Workshop on Machine Learning in Finance 2021 (KDD - MLF - 21). - Singapore. [img]
  3. Item Gierbl, Anita Stefanie; Schreyer, Marco; Borth, Damian & Leibfried, Peter (2021) Deep Learning für die Wirtschaftsprüfung - Eine Darstellung von Theorie, Funktionsweise und Anwendungsmöglichkeiten. Zeitschrift für Internationale Rechnungslegung (IRZ), (7/8). 349-355. ISSN 1862-5533
  4. Item Scheibenreif, Linus Mathias; Mommert, Michael & Borth, Damian: Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space. [Conference or Workshop Item] [img]
  5. Item Scheibenreif, Linus Mathias; Mommert, Michael & Borth, Damian: A Novel Dataset and Benchmark for Surface NO2 Prediction from Remote Sensing Data Including COVID Lockdown Measures. 2021. - International Geoscience and Remote Sensing Symposium 2021. - Brussels, Belgium (virtual).
  6. Item Mommert, Michael; Scheibenreif, Linus Mathias; Hanna, Joëlle & Borth, Damian: Power Plant Classification from Remote Imaging with Deep Learning. 2021. - International Geoscience and Remote Sensing Symposium. - virtual. [img]
  7. Item Schreyer, Marco; Schulze, Christian & Borth, Damian: Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks. 2021. - AAAI 2021 Workshop on Knowledge Discovery from Unstructured Data in Financial Services. - Virtual. [img]
  8. Item Blattner, Moritz; Mommert, Michael & Borth, Damian: Commercial Vehicle Traffic Detection from Satellite Imagery with Deep Learning. 2021. - Tackling Climate Change with Machine Learning Workshop at ICML 2021. [img]
  9. Item Mommert, Michael; Sigel, Mario; Neuhausler, Marcel; Scheibenreif, Linus & Borth, Damian: Characterization of Industrial Smoke Plumes from Remote Sensing Data. 2020. - Tackling Climate Change with Machine Learning workshop at NeurIPS 2020. [img]
  10. Item Gierbl, Anita Stefanie; Schreyer, Marco; Leibfried, Peter & Borth, Damian (2020) Künstliche Intelligenz in der Prüfungspraxis - Eine Bestandsaufnahme aktueller Einsatzmöglichkeiten und Herausforderungen. Expert Focus, 2020 (09). 612-617. [img]
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