• 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 827,287 matches

• 2023
• 
  Pawel Ksiezak, Sylwia Wojtczak:
  Toward a Conceptual Network for the Private Law of Artificial Intelligence. Springer 2023, ISBN 978-3-031-19446-7, pp. 1-296
• 
  Yang Liu, Jianquan Lu, Liangjie Sun:
  Sampled-data Control of Logical Networks. Springer 2023, ISBN 978-981-19-8260-6, pp. 3-219
• 
  John N. Mordeson, Sunil Mathew, G. Gayathri:
  Fuzzy Graph Theory - Applications to Global Problems. Springer 2023, ISBN 978-3-031-23107-0, pp. 1-250
• 
  Santi Phithakkitnukoon:
  Urban Informatics Using Mobile Network Data - Travel Behavior Research Perspectives, 4. Springer 2023, ISBN 978-981-19-6713-9, pp. 1-241
• 
  John Vince:
  Calculus for Computer Graphics, Third Edition. Springer 2023, ISBN 978-3-031-28116-7, pp. 1-379
• 
  Federico Matteo Bencic:
  Mitigating the impact of malicious nodes in distributed ledger networks with resource constrained nodes ; Ublažavanje utjecaja zlonamjernih čvorova u mrežama raspodijeljenih glavnih knjiga s čvorovima ograničenih resursa. University of Zagreb, Croatia, 2023
• 
  Vincenzo D'Amato:
  Deep Multi Temporal Scale Networks for Human Motion Analysis. University of Genoa, Italy, 2023
• 
  Arnaud Dethise:
  Interpretation, Verification and Privacy Techniques for Improving the Trustworthiness of Neural Networks. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2023
• 
  Alessio Fagioli:
  Towards human-like neural networks: a neuroscience approach. Sapienza University of Rome, Italy, 2023
• 
  Riccardo de Feo:
  Convolutional neural networks for the segmentation of small rodent brain MRI. Sapienza University of Rome, Italy, 2023
• 
  Max Horn:
  Representation Learning for Dimensionality Reduction, Irregularly-Sampled Sequences and Graphs. ETH Zurich, Zürich, Switzerland, 2023
• 
  Shanshi Huang:
  Reliability and Security of Compute-In-Memory Based Deep Neural Network Accelerators. Georgia Institute of Technology, Atlanta, GA, USA, 2023
• 
  Menelaos Kanakis:
  Designing Efficient Deep Neural Networks: Topological Optimization, Quantization and Multi-Task Learning. ETH Zurich, Zürich, Switzerland, 2023
• 
  Mike Koivisto:
  DoA and ToA Estimation, Device Positioning and Network Synchronization in 5G New Radio: Algorithms and Performance Analysis. University of Tampere, Finland, 2023
• 
  Niloofar Okati:
  Modeling and Analysis of Massive Low Earth Orbit Communication Networks. University of Tampere, Finland, 2023
• 
  Jorik Oostenbrink:
  A Data-Driven Approach to Disaster Resilience in Communication Networks. Delft University of Technology, Netherlands, 2023
• 
  Mohit Prabhushankar:
  Contrastive Reasoning in Neural Networks. Georgia Institute of Technology, Atlanta, GA, USA, 2023
• 
  Florian Rossmannek:
  The curse of dimensionality and gradient-based training of neural networks: shrinking the gap between theory and applications. ETH Zurich, Zürich, Switzerland, 2023
• 
  Sogand SadrHaghighi:
  Coordinated Packet-Level Traffic Monitoring in Software-Defined Networks. University of Calgary, Alberta, Canada, 2023
• 
  Pasquale Sibilio:
  An intelligent management of integrated biomedical data for digital health via Network Medicine and its application to different human diseases. Sapienza University of Rome, Italy, 2023
• 
  Augustin Pierre Martin Viot:
  Dependability for declarative mechanisms: neural networks in autonomous vehicles decision making. University of Genoa, Italy, 2023
• 
  Zheyuan Wang:
  Learning Dynamic Priority Scheduling Policies with Graph Attention Networks. Georgia Institute of Technology, Atlanta, GA, USA, 2023
• 
  Waheed Ahmed:
  Combining Neural Networks with Knowledge for Spoken Dialogue Systems. University of Ulm, Germany, 2023
• 
  Muhammad Umer Anwaar:
  Leveraging Representation Learning for Multi-Modal and Graph-Structured Data / Muhammad Umer Anwaar ; Gutachter: Martin Kleinsteuber, Eckehard Steinbach ; Betreuer: Martin Kleinsteuber. Technical University of Munich, Germany, 2023
• 
  Haytham Baniabdelghany:
  Reliable, energy-efficient and temporally predictable time-triggered hybrid TSN systems combing wireless and wirebound networks. University of Siegen, Germany, 2023
• 
  Alex Bäuerle:
  Visualization-based neural network introspection. University of Ulm, Germany, 2023
• 
  Komal Bhattacharyya:
  Memory capacity of flow network morphology. Georg-August Universität, Göttingen, Germany, 2023
• 
  Russa Biswas:
  Embedding Based Link Prediction for Knowledge Graph Completion. Karlsruhe Institute of Technology, Germany, 2023
• 
  Ann-Kathrin Dombrowski:
  A geometrical perspective on explanations for deep neural networks. Technical University of Berlin, Germany, 2023
• 
  Matthias Frey:
  Distributed function approximation over noisy channels: with reliability and security guarantees for applications in wireless networks. Technical University of Berlin, Germany, 2023

skipping 827,257 more matches