Profile Page Prof. Dr. Damian Borth

Profile Picture
Name Damian Borth
Title Prof. Dr.
Institute/School ICS - Institute of Computer Science
Address Institute of Computer Science (ICS-HSG)
Büro 61-510
Rosenbergstrasse 30
9000 St. Gallen
Email address
Phone +41 71 224 26 27
Google Scholar
Main Focuses Maschinelles Lernen, Deep Learning, Künstliche Intelligenz
Teaching Activities

Latest Additions (all)

  1. Item van Giffen, Benjamin; Borth, Damian & Brenner, Walter (2020) Management von Künstlicher Intelligenz in Unternehmen. HMD Praxis der Wirtschaftsinformatik, 57 (1). 4-20. ISSN 1436-3011 [img]
  2. Project Borth, Prof. Dr. Damian; Gassmann, Prof. Dr. Oliver; Haefner, Prof. Dr. Naomi & Schürholt, Konstantin (2019) Intellectual Property in the Age of Self-Learning Systems (Neural-IP) [fundamental research project] .
  3. Item Schreyer, Marco; Sattarov, Timur; Reimer, Bernd & Borth, Damian: Adversarial Learning of Deepfakes in Accounting. 2019. - NeurIPS 2019 Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy. - Vancover, British Columbia, Canada. [img]
  4. Item Schreyer, Marco; Sattarov, Timur; Schulze, Christian; Reimer, Bernd & Borth, Damian: Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks. 2019. - 2nd KDD Workshop on Anomaly Detection in Finance, 2019. - Anchorage, Alaska, USA. [img]
  5. Item Patrick, Helber; Benjamin, Bischke; Andreas, Dengel & Damian, Borth (2019) EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12 (7). 2217-2226. [img]
  6. Item Benjamin, Bischke; Damian, Borth & Andreas, Dengel: Large-Scale Social Multimedia Analysis. In Stefanos, Vrochidis; Benoit, Huet; Edward Y., Chang & Ioannis, Kompatsiaris (ed.): Big Data Analytics for Large-Scale Multimedia Search. Wiley, 2019, S. 157-178.
  7. Item Benjamin, Bischke; Patrick, Helber; Joachim, Folz; Andreas, Dengel & Damian, Borth: Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks. 2019. [img]
  8. Item Schreyer, Marco; Sattarov, Timur; Borth, Damian; Dengel, Andreas & Reimer, Bernd (2018) Künstliche Intelligenz in der Wirtschaftsprüfung - Identifikation ungewöhnlicher Buchungen in der Finanzbuchhaltung. WPg - Die Wirtschaftsprüfung, 72 (11). 674-681.
  9. Item Benjamin, Bischke; Patrick, Helber; Zhengyu, Zhao; Jens de, Bruijn & Damian, Borth: The Multimedia Satellite Task at MediaEval 2018: Emergency Response for Flooding Events. 2018. - MediaEval Benchmark. - Sophia Antipolis, France. [img]
  10. Item Sebastian, Säger; Benjamin, Elizalde; Damian, Borth; Christan, Schluze; Bhiksha, Raj & Ian, Lane (2018) AudioPairBank: towards a Large-Scale Tag-Pair-based Audio Content Analysis. EURASIP Journal on Audio, Speech, and Music Processing, 2018 (12). [img]