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Publication search results
found 66 matches
- 2024
- Christian Hauptmann, Adrian Krenzer, Justin Völkel, Frank Puppe:
Argumentation effect of a chatbot for ethical discussions about autonomous AI scenarios. Knowl. Inf. Syst. 66(6): 3607-3637 (2024) - Wenyuan Wu, Jasmin Heierli, Max Meisterhans, Adrian Moser, Andri Färber, Mateusz Dolata, Elena Gavagnin, Alexandre de Spindler, Gerhard Schwabe:
PROMISE: A Framework for Model-Driven Stateful Prompt Orchestration. CAiSE Forum 2024: 157-165 - Christian Hauptmann, Adrian Krenzer, Antonia Krause, Frank Puppe:
ADEA: An Argumentative Dialogue Dataset on Ethical Issues Concerning Future A.I. Applications. LREC/COLING 2024: 426-437 - Micha V. Nowak, Tim P. Bott, David Khachaturov, Frank Puppe, Adrian Krenzer, Amar Hekalo:
QBI: Quantile-based Bias Initialization for Efficient Private Data Reconstruction in Federated Learning. CoRR abs/2406.18745 (2024) - 2023
- Adrian Krenzer, Stefan Heil, Daniel Fitting, Safa Matti, Wolfram G. Zoller, Alexander Hann, Frank Puppe:
Automated classification of polyps using deep learning architectures and few-shot learning. BMC Medical Imaging 23(1): 59 (2023) - Adrian Krenzer, Michael Banck, Kevin Makowski, Amar Hekalo, Daniel Fitting, Joel Troya, Boban Sudarevic, Wolfgang G. Zoller, Alexander Hann, Frank Puppe:
A Real-Time Polyp-Detection System with Clinical Application in Colonoscopy Using Deep Convolutional Neural Networks. J. Imaging 9(2): 26 (2023) - Nishant Gupta, Gerhard Kuert, Adrian Ryser, Andreas Haeberlin, Thomas Niederhauser:
A Surface-Integrated Sensor Network for Personalized Multifunctional Catheters. EMBC 2023: 1-4 - Andri Färber, Alexandre de Spindler, Adrian Moser, Gerhard Schwabe:
Closing the Loop for Patients with Chronic Diseases - from Problems to a Solution Architecture. ICHI 2023: 361-370 - Adrian Krenzer, Frank Puppe:
A Comparative Study of Video-Based Analysis Using Machine Learning for Polyp Classification. KI 2023: 144-156 - Gerhard Kober, Livio Robaldo, Adrian Paschke:
Towards Complex Event Processing for Clinical Decision Support using FHIR. RuleML+RR (Companion) 2023 - Gerhard Kober, Livio Robaldo, Adrian Paschke:
Using BPMN for medical guidelines that integrate with FHIR-RDF. SWAT4HCLS 2023: 1-10 - Dañiel Gerhardt, Alexander Ponticello, Adrian Dabrowski, Katharina Krombholz:
Investigating Verification Behavior and Perceptions of Visual Digital Certificates. USENIX Security Symposium 2023: 3565-3582 - Wenyuan Wu, Jasmin Heierli, Max Meisterhans, Adrian Moser, Andri Färber, Mateusz Dolata, Elena Gavagnin, Alexandre de Spindler, Gerhard Schwabe:
PROMISE: A Framework for Model-Driven Stateful Prompt Orchestration. CoRR abs/2312.03699 (2023) - 2022
- Gerhard Kober, Livio Robaldo, Adrian Paschke:
Modeling Medical Guidelines by Prova and SHACL Accessing FHIR/RDF. Use Case: The Medical ABCDE Approach. dHealth 2022: 59-66 - Je Nam Jun Junior, Bruna de Vargas Guterres, Adriano R. Da Silva, Rafael Gerhardt, Samantha E. Martins, Juliana Zomer Sandrini, Silvia Silva da Costa Botelho:
Computer Vision Techniques to Support Biosensors Based on Burrowing Clams. INDIN 2022: 129-134 - Adrian Krenzer, Philipp Sodmann, Nico Hasler, Frank Puppe:
Deep Learning using temporal information for automatic polyp detection. EndoCV@ISBI 2022: 14-19 - Florian Roth, Noémie Bidoul, Teodor Rosca, Meik Dörpinghaus, Denis Flandre, Adrian M. Ionescu, Gerhard P. Fettweis:
Spike-Based Sensing and Communication for Highly Energy-Efficient Sensor Edge Nodes. JC&S 2022: 1-6 - Adrian Krenzer, Joel Troya, Michael Banck, Boban Sudarevic, Krzysztof Flisikowski, Alexander Meining, Frank Puppe:
A User Interface for Automatic Polyp Detection Based on Deep Learning with Extended Vision. MIUA 2022: 851-868 - Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer:
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR abs/2205.04712 (2022) - 2021
- Thomas Hulin, Michael Panzirsch, Harsimran Singh, Andre Coelho, Ribin Balachandran, Aaron Pereira, Bernhard M. Weber, Nicolai Bechtel, Cornelia Riecke, Bernhard Brunner, Neal Y. Lii, Julian Klodmann, Anja Hellings, Katharina Hagmann, Gabriel Quere, Adrian Simon Bauer, Marek Sierotowicz, Roberto Lampariello, Jörn Vogel, Alexander Dietrich, Daniel Leidner, Christian Ott, Gerd Hirzinger, Alin Albu-Schäffer:
Model-Augmented Haptic Telemanipulation: Concept, Retrospective Overview, and Current Use Cases. Frontiers Robotics AI 8: 611251 (2021) - Christian Eder, Gerhard Pfister, Adrian Popescu:
Standard bases over Euclidean domains. J. Symb. Comput. 102: 21-36 (2021) - Adrian Krenzer, Kevin Makowski, Amar Hekalo, Frank Puppe:
Semi-Automated Machine Learning Video Annotation for Gastroenterologists. MIE 2021: 484-485 - Gerhard Kober, Adrian Paschke:
Medical information-graphs, based on ontologies and FHIR. Qurator 2021 - Gerhard Kober, Adrian Paschke:
Representing and executing a Medical Guideline using Prova. RuleML+RR (Supplement) 2021 - 2020
- Andreja Susnik, Andrea Grahsl, Daniel Arnold, Arturo Villiger, Rolf Dach, Gerhard Beutler, Adrian Jäggi:
Validation of the EGSIEM-REPRO GNSS Orbits and Satellite Clock Corrections. Remote. Sens. 12(14): 2322 (2020) - Laura Bozzelli, Alberto Molinari, Angelo Montanari, Adriano Peron, Gerhard J. Woeginger:
Timeline-based planning over dense temporal domains. Theor. Comput. Sci. 813: 305-326 (2020) - Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. CVPR 2020: 2825-2835 - Adrian Krenzer, Amar Hekalo, Frank Puppe:
Endoscopic Detection And Segmentation Of Gastroenterological Diseases With Deep Convolutional Neural Networks. EndoCV@ISBI 2020: 58-63 - Adrian Krenzer, Frank Puppe:
Bigger Networks are not Always Better: Deep Convolutional Neural Networks for Automated Polyp Segmentation. MediaEval 2020 - Gerhard Kober, Adrian Paschke:
Using PROVA-Rule Engine as Dispatching-Service for FHIR-Observation-Resources. RuleML+RR (Supplement) 2020: 1-9
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