Zobrazeno 1 - 10
of 1 982
pro vyhledávání: '"Mertes P"'
Autor:
Nipen, Thomas Nils, Haugen, Håvard Homleid, Ingstad, Magnus Sikora, Nordhagen, Even Marius, Salihi, Aram Farhad Shafiq, Tedesco, Paulina, Seierstad, Ivar Ambjørn, Kristiansen, Jørn, Lang, Simon, Alexe, Mihai, Dramsch, Jesper, Raoult, Baudouin, Mertes, Gert, Chantry, Matthew
A data-driven model (DDM) suitable for regional weather forecasting applications is presented. The model extends the Artificial Intelligence Forecasting System by introducing a stretched-grid architecture that dedicates higher resolution over a regio
Externí odkaz:
http://arxiv.org/abs/2409.02891
Autor:
Lindenschmitt, Daniel, Seehofer, Paul, Schmitz, Marius, Mertes, Jan, Bless, Roland, Klar, Matthias, Zitterbart, Martina, Aurich, Jan C., Schotten, Hans D.
Flexible, self-organizing communication networks will be a key feature in the next mobile communication standard. Network-in-Network (NiN) is one important concept in 6G research, introducing sub-networks tailored to specific application requirements
Externí odkaz:
http://arxiv.org/abs/2408.14944
Autor:
Mertes, Silvan, Don, Daksitha Withanage, Grothe, Otto, Kuch, Johanna, Schlagowski, Ruben, André, Elisabeth
Modern TTS systems are capable of creating highly realistic and natural-sounding speech. Despite these developments, the process of customizing TTS voices remains a complex task, mostly requiring the expertise of specialists within the field. One rea
Externí odkaz:
http://arxiv.org/abs/2408.12170
Autor:
Mertes, Silvan, Huber, Tobias, Karle, Christina, Weitz, Katharina, Schlagowski, Ruben, Conati, Cristina, André, Elisabeth
In this paper, we demonstrate the feasibility of alterfactual explanations for black box image classifiers. Traditional explanation mechanisms from the field of Counterfactual Thinking are a widely-used paradigm for Explainable Artificial Intelligenc
Externí odkaz:
http://arxiv.org/abs/2405.05295
In the field of affective computing, where research continually advances at a rapid pace, the demand for user-friendly tools has become increasingly apparent. In this paper, we present the AffectToolbox, a novel software system that aims to support r
Externí odkaz:
http://arxiv.org/abs/2402.15195
Autor:
van Rijn, Pol, Mertes, Silvan, Janowski, Kathrin, Weitz, Katharina, Jacoby, Nori, André, Elisabeth
Speech is a natural interface for humans to interact with robots. Yet, aligning a robot's voice to its appearance is challenging due to the rich vocabulary of both modalities. Previous research has explored a few labels to describe robots and tested
Externí odkaz:
http://arxiv.org/abs/2402.05206
Autor:
Marc Darras, MD, Clément Schneider, MD, Sandrine Marguerite, MD, Saadé Saadé, MD, Anne-Lise Maechel, MD, Walid Oulehri, MD, Olivier Collange, MD, PhD, Jean-Philippe Mazzucotelli, MD, PhD, Paul-Michel Mertes, MD, PhD, Michel Kindo, MD, PhD
Publikováno v:
JTCVS Open, Vol 22, Iss , Pp 25-35 (2024)
Objective: This study investigated the efficacy of a multimodal analgesia (MMA) with an opioid-sparing strategy, incorporating a parasternal plane block (PPB) within a systematic standardized Enhanced Recovery After Surgery (ERAS) program for patient
Externí odkaz:
https://doaj.org/article/71c9cfaae1084c3b8c0371b44f1971b0
Autor:
Lindenschmitt, Daniel, Mertes, Jan, Schellenberger, Christian, Schmitz, Marius, Han, Bin, Aurich, Jan C., Schotten, Hans D.
Underlayer networks in the context of 6G for manufacturing are crucial. They address the evolving needs of highly interconnected and autonomous systems in industry. The digitalization of manufacturing processes, driven by the Internet of Things and i
Externí odkaz:
http://arxiv.org/abs/2309.10624
Autor:
Boulogne, Luuk H., Lorenz, Julian, Kienzle, Daniel, Schon, Robin, Ludwig, Katja, Lienhart, Rainer, Jegou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Muller, Dominik, Mertes, Silvan, Schroter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Bossa, Matias Nicolas, Berenguer, Abel Diaz, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A., Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, van Ginneken, Bram, Dubois, Marie-Pierre Revel
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Public access to the training methodology for these solutions remains abse
Externí odkaz:
http://arxiv.org/abs/2306.10484
Autor:
Müller, Dominik, Schröter, Niklas, Mertes, Silvan, Hellmann, Fabio, Elia, Miriam, Reif, Wolfgang, Bauer, Bernhard, André, Elisabeth, Kramer, Frank
COVID-19 presence classification and severity prediction via (3D) thorax computed tomography scans have become important tasks in recent times. Especially for capacity planning of intensive care units, predicting the future severity of a COVID-19 pat
Externí odkaz:
http://arxiv.org/abs/2305.08660