Concept, implementation and evaluation of an improvisation based music video game. - Sascha Grollmisch; Christian Dittmar; Gabriel Gatzsche (ICE-GIC, 2009)

Songs2See and GlobalMusic2One: Two Applied Research Projects in Music Information Retrieval at Fraunhofer IDMT. - Christian Dittmar; Holger Großmann; Estefanía Cano; Sascha Grollmisch; Hanna M. Lukashevich; Jakob Abeßer (CMMR, 2010)

Music Information Retrieval Meets Music Education. - Christian Dittmar; Estefanía Cano; Jakob Abeßer; Sascha Grollmisch (Multimodal Music Processing, 2012)

Automatic Competency Assessment of Rhythm Performances of Ninth-grade and Tenth-grade Pupils. - Jakob Abeßer; Johannes Hasselhorn; Sascha Grollmisch; Christian Dittmar; Andreas Lehmann (ICMC, 2014)

Exploring sound source separation for acoustic condition monitoring in industrial scenarios. - Estefanía Cano; Johannes Nowak; Sascha Grollmisch (EUSIPCO, 2017)

Soundslike. - Sascha Grollmisch; Hanna M. Lukashevich (GI-Jahrestagung, 2017)

Ensemble Size Classification in Colombian Andean String Music Recordings. - Sascha Grollmisch; Estefanía Cano; Fernando Mora Ángel; Gustavo López Gil (CMMR, 2019)

Sounding Industry: Challenges and Datasets for Industrial Sound Analysis. - Sascha Grollmisch; Jakob Abeßer; Judith Liebetrau; Hanna M. Lukashevich (EUSIPCO, 2019)

Analyzing the Potential of Pre-Trained Embeddings for Audio Classification Tasks. - Sascha Grollmisch; Estefanía Cano; Christian Kehling; Michael Taenzer (EUSIPCO, 2020)

Techniques Improving the Robustness of Deep Learning Models for Industrial Sound Analysis. - David S. Johnson 003; Sascha Grollmisch (EUSIPCO, 2020)

DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection. - David S. Johnson 003; Wolfgang Lorenz; Michael Taenzer; Stylianos I. Mimilakis; Sascha Grollmisch; Jakob Abeßer; Hanna M. Lukashevich (EUSIPCO, 2021)

Examining Speaker and Keyword Uniqueness: Partitioning Keyword Spotting Datasets for Federated Learning with the Largest Differencing Method. - Paul C. Wallbott; Sascha Grollmisch; Thomas Köllmer (BNAIC/BENELEARN, 2022)

How reliable are posterior class probabilities in automatic music classification? - Hanna M. Lukashevich; Sascha Grollmisch; Jakob Abeßer; Sebastian Stober; Joachim Bös (Audio Mostly Conference, 2023)

Uncertainty in Semi-Supervised Audio Classification - A Novel Extension for FixMatch. - Sascha Grollmisch; Estefanía Cano; Hanna M. Lukashevich; Jakob Abeßer (EUSIPCO, 2023)

How Robust are Audio Embeddings for Polyphonic Sound Event Tagging? - Jakob Abeßer; Sascha Grollmisch; Meinard Müller (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Federated Semi-supervised Learning for Industrial Sound Analysis and Keyword Spotting. - Sascha Grollmisch; Thomas Köllmer; Artem Yaroshchuk; Hanna M. Lukashevich (ICASSP Workshops, 2025)