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Jan-Michel Heger, Julia Mattlener, Jessica Schneider, Philipp Gödel, Noëlle Sieg, Fabian Ullrich, Richard Lewis, Teodora Bucaciuc-Mracica, Roland F. Schwarz, Daniel Rueß et al.
Entirely noninvasive outcome prediction in central nervous system lymphomas using circulating tumor DNA
Dennis Grinwald, Kirill Bykov, Shinichi Nakajima, Marina MC Höhne
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks
Barış Büyüktaş, Gencer Sumbul, Begüm Demir
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Iris Groen, Jascha Achterberg et al.
Getting aligned on representational alignment
Kaustubh Beedkar, Bertty Contreras-Rojas, Haralampos Gavriilidis, Zoi Kaoudi, Volker Markl, Rodrigo Pardo-Meza, Jorge-Arnulfo Quiané-Ruiz
Apache Wayang: A Unified Data Analytics Framework
Marco Corsi, Giorgio Pasquali, Chiara Pratola, Simone Tilia, Sergios-Anestis Kefalidis, Konstantinos Plas, Mariangela Pollali, Eleni Tsalapati, Myrto Tsokanaridou, Manolis Koubarakis et al.
DA4DTE: DEVELOPING A DIGITAL ASSISTANT FOR SATELLITE DATA ARCHIVES
Xiao Li, Huan Li, Hua Lu, Christian S. Jensen, Varun Pandey, Volker Markl
Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation
Konrad Rieck
When Papers Choose Their Reviewers: Adversarial Machine Learning in Peer Review
Nicholas E. Charron, Felix Musil, Andrea Guljas, Yaoyi Chen, Klara Bonneau, Aldo S. Pasos-Trejo, Jacopo Venturin, Daria Gusew, Iryna Zaporozhets, Andreas Krämer et al.