Jann Goschenhofer

14 papers A 1B 1C 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Approximate Bayes Optimal Pseudo-Label Selection. CoRR Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
2023	A	`conf`	Approximately Bayes-optimal pseudo-label selection. UAI Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin
2023	B	`conf`	ConstraintMatch for Semi-constrained Clustering. IJCNN Jann Goschenhofer, Bernd Bischl, Zsolt Kira
2023	J	`jnl`	ConstraintMatch for Semi-constrained Clustering. CoRR Jann Goschenhofer, Bernd Bischl, Zsolt Kira
2023	J	`jnl`	Multimodal Deep Learning. CoRR Cem Akkus, Luyang Chu, Vladana Djakovic, Steffen Jauch-Walser, Philipp Koch, Giacomo Loss, Christopher Marquardt, Marco Moldovan, Nadja Sauter, Maximilian Schneider, Rickmer Schulte, Karol Urbanczyk, Jann Goschenhofer, Christian Heumann, Rasmus Hvingelby, Daniel Schalk, Matthias Aßenmacher
2023	—	`—`	Reducing the effort for data annotation: contributions to weakly supervised deep learning. Jann Goschenhofer
2023	J	`jnl`	Structured Verification of Machine Learning Models in Industrial Settings. Big Data Sai Rahul Kaminwar, Jann Goschenhofer, Janek Thomas, Ingo Thon, Bernd Bischl
2023	—	`conf`	Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. IAL@PKDD/ECML Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick
2022	J	`jnl`	Positive-Unlabeled Learning with Uncertainty-aware Pseudo-label Selection. CoRR Emilio Dorigatti, Jann Goschenhofer, Benjamin Schubert, Mina Rezaei, Bernd Bischl
2021	J	`jnl`	Deep Semi-Supervised Learning for Time Series Classification. CoRR Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl
2021	C	`conf`	Deep Semi-supervised Learning for Time Series Classification. ICMLA Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl
2019	J	`jnl`	Granular Motor State Monitoring of Free Living Parkinson's Disease Patients via Deep Learning. CoRR Kamer Ali Yuksel, Jann Goschenhofer, Hridya V. Varma, Urban Fietzek, Franz Michael Josef Pfister
2019	—	`conf`	Wearable-Based Parkinson's Disease Severity Monitoring Using Deep Learning. ECML/PKDD (3) Jann Goschenhofer, Franz Michael Josef Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas
2019	J	`jnl`	Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning. CoRR Jann Goschenhofer, Franz Michael Josef Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas