Machine Learning and Data Analytics Lab


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Machine Learning from Biomechanical SimulaIons for an "in the Wild" Movement Analysis (2021) Dorschky E, Nitschke M, van den Bogert AJ, Koelewijn A, Eskofier B Conference contribution, Abstract of lecture Identification of individuals through a new Gait Recognition Method (2021) Dib W, Ghanem K, Nedil M, Ababou A, Eskofier B Conference contribution HeMoG: A White-Box Model to Unveil the Connection Between Saliency Information and Human Head Motion in Virtual Reality (2021) Rondon MFR, Zanca D, Melacci S, Gori M, Sassatelli L Conference contribution Hess Screen Revised: How Eye Tracking and Virtual Reality change Strabismus Assessment (2021) Mehringer W, Wirth M, Risch F, Roth D, Michelson G, Michelson G, Eskofier B Conference contribution, Conference Contribution ICDAR 2021 Competition on On-Line Signature Verification (2021) Tolosana R, Vera-Rodriguez R, Gonzalez-Garcia C, Fierrez J, Rengifo S, Morales A, Ortega-Garcia J, et al. Conference contribution System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data (2021) Nguyen A, Foerstel S, Kittler T, Kurzyukov A, Schwinn L, Zanca D, Hipp T, et al. Journal article, Original article Consensus based framework for digital mobility monitoring (2021) Kluge F, Del Din S, Cereatti A, Gaßner H, Hansen C, Helbostad JL, Klucken J, et al. Journal article Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks (2021) Schwinn L, Raab R, Nguyen A, Zanca D, Eskofier B Conference contribution, Conference Contribution Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks (2021) Schwinn L, Nguyen A, Raab R, Zanca D, Eskofier B, Tenbrinck D, Burger M Conference contribution, Conference Contribution Identifying untrustworthy predictions in neural networks by geometric gradient analysis (2021) Schwinn L, Nguyen A, Raab R, Bungert L, Tenbrinck D, Zanca D, Burger M, Eskofier B Conference contribution, Conference Contribution