Active Learning of the Generalized High-Low Game. - Martina Hasenjäger; Helge J. Ritter (ICANN, 1996)

Active Learning with Local Models. - Martina Hasenjäger; Helge J. Ritter (Neural Process. Lett., 1998)

Perceptron Learning Revisited: The Sonar Targets Problem. - Martina Hasenjäger; Helge J. Ritter (Neural Process. Lett., 1999)

Active data selection in supervised and unsupervised learning. - Martina Hasenjäger (2000)

Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures. - Razvan Enache; Bernhard Sendhoff; Markus Olhofer; Martina Hasenjäger (PPSN, 2004)

Crawling along the Pareto front: tales from the practice. - Martina Hasenjäger; Bernhard Sendhoff (Congress on Evolutionary Computation, 2005)

Three dimensional evolutionary aerodynamic design optimization with CMA-ES. - Martina Hasenjäger; Bernhard Sendhoff; Toyotaka Sonoda; Toshiyuki Arima (GECCO, 2005)

Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. - Lars Gräning; Stefan Menzel; Martina Hasenjäger; Thomas Bihrer; Markus Olhofer; Bernhard Sendhoff (J. Math. Model. Algorithms, 2008)

Personalization in advanced driver assistance systems and autonomous vehicles: A review. - Martina Hasenjäger; Heiko Wersing (ITSC, 2017)

Personalized Online Learning of Whole-Body Motion Classes using Multiple Inertial Measurement Units. - Viktor Losing; Taizo Yoshikawa; Martina Hasenjäger; Barbara Hammer; Heiko Wersing (ICRA, 2019)

Personalized Online Learning with Pseudo-Ground Truth. - Viktor Losing; Martina Hasenjäger; Taizo Yoshikawa (IROS, 2020)

Interactions between Inter- and Intra-Individual Effects on Gaze Behavior. - Christiane B. Wiebel-Herboth; Matti Krüger; Martina Hasenjäger (UMAP (Adjunct Publication), 2020)

A Survey of Personalization for Advanced Driver Assistance Systems. - Martina Hasenjäger; Martin Heckmann; Heiko Wersing (IEEE Trans. Intell. Veh., 2020)

On the suitability of incremental learning for regression tasks in exoskeleton control. - Jonathan Jakob; Martina Hasenjäger; Barbara Hammer (SSCI, 2021)

Quantifying the Predictability of Visual Scanpaths Using Active Information Storage. - Patricia Wollstadt; Martina Hasenjäger; Christiane B. Wiebel-Herboth (Entropy, 2021)

SAM-kNN Regressor for Online Learning in Water Distribution Networks. - Jonathan Jakob; André Artelt; Martina Hasenjäger; Barbara Hammer (ICANN (3), 2022)

Reject Options for Incremental Regression Scenarios. - Jonathan Jakob; Martina Hasenjäger; Barbara Hammer (ICANN (4), 2022)

Incremental Human Gait Prediction without Catastrophic Forgetting. - Jonathan Jakob; Martina Hasenjäger; Barbara Hammer (SSCI, 2023)

Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams. - Jonathan Jakob; André Artelt; Martina Hasenjäger; Barbara Hammer (Appl. Artif. Intell., 2023)