• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 146 matches

• 2024
• 
  A. N. Vantyghem, Timothy J. Galvin, Sebastian Bodenstedt, Christopher P. O'dea, Yjan Gordon, M. Boyce, Lawrence Rudnick, K. Polsterer, Heinz Andernach, M. Dionyssiou, P. Venkataraman, Ray P. Norris, S. A. Baum, X. Rosalind Wang, Minh Huynh:
  Rotation and flipping invariant self-organizing maps with astronomical images: A cookbook and application to the VLA Sky Survey QuickLook images. Astron. Comput. 47: 100824 (2024)
• 
  Vinzent Penzkofer, Timo Baumann:
  Evaluating and Fine-Tuning Retrieval-Augmented Language Models to Generate Text with Accurate Citations. BBBBBBBBBB 2024: 57-64
• 
  Kevin Baum, Lisa Dargasz, Felix Jahn, Timo P. Gros, Verena Wolf:
  Acting for the Right Reasons: Creating Reason-Sensitive Artificial Moral Agents. CoRR abs/2409.15014 (2024)
• 2023
• 
  Timo Baumgärtner, Benjamin Johannes Mittmann, Till Malzacher, Johannes Roßkopf, Michael Braun, Bernd Schmitz, Alfred M. Franz:
  Towards Clinical Translation of Deep Learning-based Classification of DSA Image Sequences for Stroke Treatment. Bildverarbeitung für die Medizin 2023: 95-101
• 
  Lena Stevanovic, Ramona Bodanowitz, Benjamin Johannes Mittmann, Ann-Kathrin Greiner-Perth, Eva Marschall, Tobias Kannberg, Timo Baumgärtner, Michael Braun, Bernd Schmitz, Alfred M. Franz:
  Localizable Instruments for Navigated Treatment of Ischemic Stroke. Bildverarbeitung für die Medizin 2023: 279-284
• 
  Constanze Baum, Michael Dahnke, Patrick Dinger, Yuliya Fadeeva, Jan Horstmann, Melanie Elisabeth-H. Seltmann, Timo Steyer:
  Die perfekte digitale Open-Access-Publikation. DHd 2023: 22
• 
  Alexander Henlein, Attila Kett, Daniel Baumartz, Giuseppe Abrami, Alexander Mehler, Johannes Bastian, Yannic Blecher, David Budgenhagen, Roman Christof, Tim-Oliver Ewald, Tim Fauerbach, Patrick Masny, Julian Mende, Paul Schnüre, Marc Viel:
  Semantic Scene Builder: Towards a Context Sensitive Text-to-3D Scene Framework. HCI (19) 2023: 461-479
• 
  Timo Wilm, Philipp Normann, Sophie Baumeister, Paul-Vincent Kobow:
  Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions. RecSys 2023: 1023-1026
• 
  Deborah Baum, Kevin Baum, Timo P. Gros, Verena Wolf:
  XAI Requirements in Smart Production Processes: A Case Study. xAI (1) 2023: 3-24
• 
  Timo Baumgärtner, Benjamin Johannes Mittmann, Till Malzacher, Johannes Roßkopf, Michael Braun, Bernd Schmitz, Alfred M. Franz:
  Towards clinical translation of deep-learning based classification of DSA image sequences for stroke treatment. CoRR abs/2306.06207 (2023)
• 
  Timo Wilm, Philipp Normann, Sophie Baumeister, Paul-Vincent Kobow:
  Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions. CoRR abs/2307.14906 (2023)
• 2022
• 
  Matthew F. Glasser, Timothy S. Coalson, Michael P. Harms, Junqian Xu, Graham L. Baum, Joonas A. A. Autio, Edward J. Auerbach, Douglas N. Greve, Essa Yacoub, David C. Van Essen, Nicholas A. Bock, Takuya Hayashi:
  Empirical transmit field bias correction of T1w/T2w myelin maps. NeuroImage 258: 119360 (2022)
• 
  Anna Windbühler, Sükrü Okkesim, Olaf Christ, Soheil Mottaghi, Shavika Rastogi, Michael Schmuker, Timo Baumann, Ulrich G. Hofmann:
  Machine Learning Approaches to Classify Anatomical Regions in Rodent Brain from High Density Recordings. EMBC 2022: 3530-3533
• 
  Shravan Nayak, Christian Schuler, Debjoy Saha, Timo Baumann:
  A Deep Dive Into Neural Synchrony Evaluation for Audio-visual Translation. ICMI 2022: 642-647
• 
  Debjoy Saha, Shravan Nayak, Timo Baumann:
  Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video Podcasts. LREC 2022: 2536-2540
• 
  Matthias Melzer, Jan Dünnweber, Timo Baumann:
  Towards Smart Home Data Interpretation Using Analogies to Natural Language Processing. SmartIoT 2022: 65-71
• 
  Debjoy Saha, Shravan Nayak, Timo Baumann:
  Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video Podcasts. CoRR abs/2205.12194 (2022)
• 
  Timon Hackenjos, Benedikt Wagner, Julian Herr, Jochen Rill, Marek Wehmer, Niklas Goerke, Ingmar Baumgart:
  FIDO2 With Two Displays - Or How to Protect Security-Critical Web Transactions Against Malware Attacks. CoRR abs/2206.13358 (2022)
• 2021
• 
  Markus Langer, Daniel Oster, Timo Speith, Holger Hermanns, Lena Kästner, Eva Schmidt, Andreas Sesing, Kevin Baum:
  What do we want from Explainable Artificial Intelligence (XAI)? - A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research. Artif. Intell. 296: 103473 (2021)
• 
  Norbert Krüger, Kerstin Fischer, Poramate Manoonpong, Oskar Palinko, Leon Bodenhagen, Timo Baumann, Jens Kjærum, Ignacio Rañó, Lakshadeep Naik, William Kristian Juel, Frederik Haarslev, Jevgeni Ignasov, Emanuela Marchetti, Rosalyn Melissa Langedijk, Avgi Kollakidou, Kasper Camillus Jeppesen, Conny Heidtmann, Lars Dalgaard:
  The SMOOTH-Robot: A Modular, Interactive Service Robot. Frontiers Robotics AI 8: 645639 (2021)
• 
  Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf:
  Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage 238: 118216 (2021)
• 
  Patrick Krawczyk, Hermann Baumgartl, Andreas Jansche, Timo Bernthaler, Ricardo Buettner, Gerhard Schneider:
  Comparison of deep learning methods for image deblurring on light optical materials microscopy data. CASE 2021: 1332-1337
• 
  Timo Baumann, Ashutosh Saboo:
  Evaluating Heuristics for Audio-Visual Translation. CHR 2021: 171-180
• 
  Kerstin Fischer, Lakshadeep Naik, Rosalyn M. Langedijk, Timo Baumann, Matous Jelínek, Oskar Palinko:
  Initiating Human-Robot Interactions Using Incremental Speech Adaptation. HRI (Companion) 2021: 421-425
• 
  Jan Baumann, Patrick Meyer, Timo Lohrenz, Alexander Roy, Michael Papendieck, Tim Fingscheidt:
  A New DCASE 2017 Rare Sound Event Detection Benchmark Under Equal Training Data: CRNN With Multi-Width Kernels. ICASSP 2021: 865-869
• 
  Travis Baumbaugh, Haley Colgate, Tim Jackman, Felice Manganiello:
  Batch Codes from Affine Cartesian Codes and Quotient Spaces. IMACC 2021: 3-15
• 
  Robert Geislinger, Benjamin Milde, Timo Baumann, Chris Biemann:
  Live Subtitling for BigBlueButton with Open-Source Software. Interspeech 2021: 3319-3320
• 
  Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl:
  Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. RE Workshops 2021: 164-168
• 
  Markus Langer, Daniel Oster, Timo Speith, Holger Hermanns, Lena Kästner, Eva Schmidt, Andreas Sesing, Kevin Baum:
  What Do We Want From Explainable Artificial Intelligence (XAI)? - A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research. CoRR abs/2102.07817 (2021)
• 
  Markus Langer, Kevin Baum, Kathrin Hartmann, Stefan Hessel, Timo Speith, Jonas Wahl:
  Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives. CoRR abs/2108.07711 (2021)

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