- Carl A. Noack, Francesca De Benetti, Kartikay Tehlan, Nassir Navab, Thomas Wendler:
Ultrasound to CT Image-to-image Translation for Personalized Thyroid Screening. Bildverarbeitung für die Medizin 2024: 196-201 - Ion Turcanu, German Castignani, Sébastien Faye:
On the Integration of Digital Twin Networks into City Digital Twins: Benefits and Challenges. CCNC 2024: 752-758 - Huimin Tang, Johann Benerradi, Horia A. Maior, Matthew Pike, Aleksandra Landowska, Max L. Wilson:
Exploring the Impact of Verbal-Imagery Cognitive Style on Web Search Behaviour and Mental Workload. CHIIR 2024: 303-316 - Moritz Lichter, Benedikt Pago, Tim Seppelt:
Limitations of Game Comonads for Invertible-Map Equivalence via Homomorphism Indistinguishability. CSL 2024: 36:1-36:19 - Trevor Bihl, Patrick Farr, Gaetano Di Caterina, Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Jundong Liu, Kara Combs:
Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits. HICSS 2024: 7561-7570 - Juho Hamari, Nannan Xi, Ana Carolina Tomé Klock, Benedikt Morschheuser:
Introduction to the Minitrack on Gamification. HICSS 2024: 1317 - Tuan Tran, Dylan Gageot, Christoph Neumann, Guillaume Bichot, Abderrahmen Tlili, Karim Boutiba, Adlen Ksentini:
On the benefits and caveats of exploiting Quality on Demand Network APIs for video streaming. NOSSDAV 2024: 43-49 - Marie Horlbeck, Jonathan Fiedelak, Thomas Kurin, Benedict Scheiner, Robert Weigel, Fabian Lurz:
Direct Sampling Receiver with an Adjustable Bandpass Filter for Use in Passive Radar with FM Radio. RWS 2024: 102-104 - Julie V. Gawenda, Adam T. Koehler, Agne Nakvosaite:
Augmenting Computer Science Undergraduate TA Training Programs to Benefit Recruitment, Refinement, and Retention. SIGCSE (2) 2024: 1650-1651 - Jordan Schwartz, Madison Bohannan, Jacob Yim, Yuerou Tang, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi:
Automated Support for Flexible Extensions. SIGCSE (2) 2024: 1810-1811 - Yuerou Tang, Jacob Yim, Jordan Schwartz, Madison Bohannan, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi:
Supporting Mastery Learning with Flexible Extensions. SIGCSE (2) 2024: 1834-1835 - Benedetta Tondi, Wei Guo, Mauro Barni:
JMA: a General Algorithm to Craft Nearly Optimal Targeted Adversarial Example. CoRR abs/2401.01199 (2024) - Nurettin Turan, Benedikt Fesl, Michael Joham, Zhengxiang Ma, Anthony C. K. Soong, Baoling Sheen, Weimin Xiao, Wolfgang Utschick:
Limited Feedback on Measurements: Sharing a Codebook or a Generative Model? CoRR abs/2401.01721 (2024) - Hanwen Xu, Mark Randall, Lei Li, Yuyi Tan, Thomas Balstrøm:
A multi-objective optimization framework for terrain modification based on a combined hydrological and earthwork cost-benefit. CoRR abs/2401.02698 (2024) - Benedikt Roth, Valentin Koch, Sophia J. Wagner, Julia A. Schnabel, Carsten Marr, Tingying Peng:
Low-resource finetuning of foundation models beats state-of-the-art in histopathology. CoRR abs/2401.04720 (2024) - Anuradha Madugalla, Tanjila Kanij, Rashina Hoda, Dulaji Hidellaarachchi, Aastha Pant, Samia Ferdousi, John C. Grundy:
Challenges, Adaptations, and Fringe Benefits of Conducting Software Engineering Research with Human Participants during the COVID-19 Pandemic. CoRR abs/2401.05668 (2024) - Thomas Lamiaux, Benedikt Ahrens:
An Introduction to Different Approaches to Initial Semantics. CoRR abs/2401.09366 (2024) - Mina Taraghi, Gianolli Dorcelus, Armstrong Foundjem, Florian Tambon, Foutse Khomh:
Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends. CoRR abs/2401.13177 (2024) - Edoardo David Santi, Touraj Soleymani, Deniz Gündüz:
Remote Estimation of Markov Processes over Costly Channels: On the Benefits of Implicit Information. CoRR abs/2401.17999 (2024) - Jorge A. Wagner Filho, Claudio T. Silva, Wolfgang Stuerzlinger, Luciana P. Nedel:
Reimagining TaxiVis through an Immersive Space-Time Cube metaphor and reflecting on potential benefits of Immersive Analytics for urban data exploration. CoRR abs/2402.00344 (2024) - Abdelhakim Benechehab, Albert Thomas, Balázs Kégl:
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning. CoRR abs/2402.02858 (2024) - Yankai Rong, Guoshun Nan, Minwei Zhang, Sihan Chen, Songtao Wang, Xuefei Zhang, Nan Ma, Shixun Gong, Zhaohui Yang, Qimei Cui, Xiaofeng Tao, Tony Q. S. Quek:
Semantic Entropy Can Simultaneously Benefit Transmission Efficiency and Channel Security of Wireless Semantic Communications. CoRR abs/2402.02950 (2024) - Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl:
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning. CoRR abs/2402.03146 (2024) - Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala:
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents. CoRR abs/2402.03220 (2024) - Nazarii Tupitsa, Samuel Horváth, Martin Takác, Eduard Gorbunov:
Federated Learning Can Find Friends That Are Beneficial. CoRR abs/2402.05050 (2024) - Simon Himmelbauer, Christoph Hochrainer, Benedikt Huber, Niklas Mischkulnig, Philipp Paulweber, Tobias Schwarzinger, Andreas Krall:
The Vienna Architecture Description Language. CoRR abs/2402.09087 (2024) - Benedict Quartey, Eric Rosen, Stefanie Tellex, George Konidaris:
Verifiably Following Complex Robot Instructions with Foundation Models. CoRR abs/2402.11498 (2024) - Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl:
Democratizing Uncertainty Quantification. CoRR abs/2402.13768 (2024) - Nicola Mariella, Albert Akhriev, Francesco Tacchino, Christa Zoufal, Juan Carlos Gonzalez-Espitia, Benedek Harsanyi, Eugene Koskin, Ivano Tavernelli, Stefan Woerner, Marianna Rapsomaniki, Sergiy Zhuk, Jannis Born:
Quantum Theory and Application of Contextual Optimal Transport. CoRR abs/2402.14991 (2024) - Steve Benford, Clara Mancini, Alan Chamberlain, Eike Schneiders, Simon Castle-Green, Joel E. Fischer, Ayse Küçükyilmaz, Guido Salimbeni, Victor Ngo, Pepita Barnard, Matt Adams, Nick Tandavanitj, Ju Row-Farr:
Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space. CoRR abs/2402.15439 (2024)