• 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 150 matches

• 2024
• 
  Jonas Schmidt:
  Vehicle Condition Monitoring: Anomalous Vibration Detection with Accelerometers. University of Osnabrück, Germany, 2024
• 
  Niclas Boehmer, Markus Brill, Alfonso Cevallos, Jonas Gehrlein, Luis Sánchez Fernández, Ulrike Schmidt-Kraepelin:
  Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain. AAAI 2024: 9519-9527
• 
  Sebastian Angrick, Ben Bals, Tobias Friedrich, Hans Gawendowicz, Niko Hastrich, Nicolas Klodt, Pascal Lenzner, Jonas Schmidt, George Skretas, Armin Wells:
  How to Reduce Temporal Cliques to Find Sparse Spanners. ESA 2024: 11:1-11:15
• 
  Jonas Mücke, Marcin Nawrocki, Raphael Hiesgen, Thomas C. Schmidt, Matthias Wählisch:
  ReACKed QUICer: Measuring the Performance of Instant Acknowledgments in QUIC Handshakes. IMC 2024: 389-400
• 
  Kadiray Karakaya, Stefan Schott, Jonas Klauke, Eric Bodden, Markus Schmidt, Linghui Luo, Dongjie He:
  SootUp: A Redesign of the Soot Static Analysis Framework. TACAS (1) 2024: 229-247
• 
  Sebastian Angrick, Ben Bals, Tobias Friedrich, Hans Gawendowicz, Niko Hastrich, Nicolas Klodt, Pascal Lenzner, Jonas Schmidt, George Skretas, Armin Wells:
  Towards Linear Spanners in All Temporal Cliques. CoRR abs/2402.13624 (2024)
• 
  Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Quoc-Huy Trinh, Koushik Biswas, Hongyi Pan, Ritika Kumari Jha, Gorkem Durak, Alexander Hann, Jonas Varkey, Hang Viet Dao, Long Van Dao, Binh Phuc Nguyen, Khanh Cong Pham, Quang Trung Tran, Nikolaos Papachrysos, Brandon Rieders, Peter Thelin Schmidt, Enrik Geissler, Tyler M. Berzin, Pål Halvorsen, Michael A. Riegler, Thomas de Lange, Ulas Bagci:
  PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. CoRR abs/2409.00045 (2024)
• 2023
• 
  Sándor P. Fekete, Jonas Grosse-Holz, Phillip Keldenich, Arne Schmidt:
  Parallel Online Algorithms for the Bin Packing Problem. Algorithmica 85(1): 296-323 (2023)
• 
  Jonas Schmidt, Lukas Vollmer, Martin Dörenkämper, Bernhard Stoevesandt:
  FOXES: Farm Optimization and eXtended yield Evaluation Software. J. Open Source Softw. 8(87): 5464 (2023)
• 
  Markus Brill, Hayrullah Dindar, Jonas Israel, Jérôme Lang, Jannik Peters, Ulrike Schmidt-Kraepelin:
  Multiwinner Voting with Possibly Unavailable Candidates. AAAI 2023: 5532-5539
• 
  Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville:
  Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. Bildverarbeitung für die Medizin 2023: 220-225
• 
  Denise Schmidt, Jonas Chromik, Bert Arnrich:
  Recommender System for Alarm Thresholds in Medical Patient Monitors. HEALTHINF 2023: 74-85
• 
  Jonas Schmidt, Kai-Uwe Kühnberger, Dennis Pape, Tobias Pobandt:
  Detecting Loose Wheel Bolts of a Vehicle Using Accelerometers in the Chassis. IbPRIA 2023: 665-679
• 
  Davide Bilò, Vittorio Bilò, Michelle Döring, Pascal Lenzner, Louise Molitor, Jonas Schmidt:
  Schelling Games with Continuous Types (short paper). ICTCS 2023: 328-333
• 
  Tim Tiedemann, Anja Schmidt, Jesse Stricker, Jonas Fuhrmann:
  First Results of a Comparison of Machine Learning Hardware Acceleration Approaches Using Field Programmable Gate Arrays in an Agricultural Mobile Robotic Application Case. IDC 2023: 27-39
• 
  Davide Bilò, Vittorio Bilò, Michelle Döring, Pascal Lenzner, Louise Molitor, Jonas Schmidt:
  Schelling Games with Continuous Types. IJCAI 2023: 2520-2527
• 
  Jonas K. Falkner, Lars Schmidt-Thieme:
  Neural Capacitated Clustering. IJCAI 2023: 3686-3694
• 
  Jonas Schmidt, Thomas Schwentick:
  Dynamic Constant Time Parallel Graph Algorithms with Sub-Linear Work. MFCS 2023: 80:1-80:15
• 
  Jonas Schmidt, Thomas Schwentick, Jennifer Todtenhoefer:
  On the Work of Dynamic Constant-Time Parallel Algorithms for Regular Tree Languages and Context-Free Languages. MFCS 2023: 81:1-81:15
• 
  Mehran Shoushtari Moghadam, Sercan Aygun, Mohsen Riahi Alam, Jonas I Schmidt, M. Hassan Najafi, Nima Taherinejad:
  Accurate and Energy-Efficient Stochastic Computing with Van Der Corput Sequences. NANOARCH 2023: 27:1-27:6
• 
  Sebastian Angrick, Ben Bals, Katrin Casel, Sarel Cohen, Tobias Friedrich, Niko Hastrich, Theresa Hradilak, Davis Issac, Otto Kißig, Jonas Schmidt, Leo Wendt:
  Solving Directed Feedback Vertex Set by Iterative Reduction to Vertex Cover. SEA 2023: 10:1-10:14
• 
  Jonas K. Falkner, Lars Schmidt-Thieme:
  Neural Capacitated Clustering. CoRR abs/2302.05134 (2023)
• 
  William Jonas, Alexandre Abraham, Léo Dreyfus-Schmidt:
  OpenAL: Evaluation and Interpretation of Active Learning Strategies. CoRR abs/2304.05246 (2023)
• 
  Davide Bilò, Vittorio Bilò, Michelle Döring, Pascal Lenzner, Louise Molitor, Jonas Schmidt:
  Schelling Games with Continuous Types. CoRR abs/2305.06819 (2023)
• 
  Jonas Busk, Mikkel N. Schmidt, Ole Winther, Tejs Vegge, Peter Bjørn Jørgensen:
  Graph Neural Network Interatomic Potential Ensembles with Calibrated Aleatoric and Epistemic Uncertainty on Energy and Forces. CoRR abs/2305.16325 (2023)
• 
  Jonas Schmidt, Thomas Schwentick:
  Dynamic constant time parallel graph algorithms with sub-linear work. CoRR abs/2307.10107 (2023)
• 
  Jonas Schmidt, Thomas Schwentick, Jennifer Todtenhoefer:
  On the work of dynamic constant-time parallel algorithms for regular tree languages and context-free languages. CoRR abs/2307.10131 (2023)
• 
  Jonas K. Falkner, Lars Schmidt-Thieme:
  Too Big, so Fail? - Enabling Neural Construction Methods to Solve Large-Scale Routing Problems. CoRR abs/2309.17089 (2023)
• 
  Daniela Thyssens, Tim Dernedde, Jonas K. Falkner, Lars Schmidt-Thieme:
  Routing Arena: A Benchmark Suite for Neural Routing Solvers. CoRR abs/2310.04140 (2023)
• 
  Peter Bjørn Jørgensen, Jonas Busk, Ole Winther, Mikkel N. Schmidt:
  Coherent energy and force uncertainty in deep learning force fields. CoRR abs/2312.04174 (2023)

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