Predicting Social Networks in Weblogs. - Patrick Jähnichen (IICS, 2011)

ASV Monitor: Creating Comparability of Machine Learning Methods for Content Analysis. - Andreas Niekler; Patrick Jähnichen; Gerhard Heyer (ECML/PKDD (2), 2012)

Bayesian factorization of joint categorical distributions for relational data and classical conditioning models. - Ingmar Schuster; Patrick Jähnichen (CoRR, 2014)

Topological visual analysis of clusterings in high-dimensional information spaces. - Patrick Oesterling; Patrick Jähnichen; Gerhard Heyer; Gerik Scheuermann (it Inf. Technol., 2015)

Exploratory Search Through Visual Analysis of Topic Models. - Patrick Jähnichen; Patrick Oesterling; Gerhard Heyer; Tom Liebmann; Gerik Scheuermann; Christoph Kuras (Digit. Humanit. Q., 2017)

Scalable Generalized Dynamic Topic Models. - Patrick Jähnichen; Florian Wenzel; Marius Kloft; Stephan Mandt (AISTATS, 2018)

Discriminative Hallucination for Multi-Modal Few-Shot Learning. - Frederik Pahde; Moin Nabi; Tassilo Klein; Patrick Jähnichen (ICIP, 2018)

Cross-modal Hallucination for Few-shot Fine-grained Recognition. - Frederik Pahde; Patrick Jähnichen; Tassilo Klein; Moin Nabi (CoRR, 2018)

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. - Oleksiy Ostapenko; Mihai Marian Puscas; Tassilo Klein; Patrick Jähnichen; Moin Nabi (CVPR, 2019)

Self-Paced Adversarial Training for Multimodal Few-Shot Learning. - Frederik Pahde; Oleksiy Ostapenko; Patrick Jähnichen; Tassilo Klein; Moin Nabi (WACV, 2019)

VIST - a Variant-Information Search Tool for precision oncology. - Jurica Seva; David Luis Wiegandt; Julian Goetze; Mario Lamping; Damian Rieke; Reinhold Schaefer; Patrick Jähnichen; Madeleine Kittner; Steffen Pallarz; Johannes Starlinger; Ulrich Keilholz; Ulf Leser (BMC Bioinform., 2019)

Using Large Language Models for Adaptive Dialogue Management in Digital Telephone Assistants. - Hassan Soliman; Milos Kravcik; Nagasandeepa Basvoju; Patrick Jähnichen (UMAP (Adjunct Publication), 2024)