• 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 165 matches

• 2024
• 
  Clayton A. Harper, Mitchell A. Thornton, Eric C. Larson:
  Learnable Statistical Moments Pooling for Automatic Modulation Classification. ICASSP 2024: 8981-8985
• 
  Aaron David Tucker, Kianté Brantley, Adam Cahall, Thorsten Joachims:
  Coactive Learning for Large Language Models using Implicit User Feedback. ICML 2024
• 
  Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton:
  A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks. ISMVL 2024: 161-166
• 
  Weizhong Chen, Can Hong, Xianshan Wen, Mitchell A. Thornton, Ping Gui:
  Controller Area Network (CAN) Bus Transceiver with Enhanced Rail Converter. MWSCAS 2024: 64-67
• 
  Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton:
  A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks. CoRR abs/2403.01299 (2024)
• 
  Elena R. Henderson, Jessie M. Henderson, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton:
  Designing a Photonic Physically Unclonable Function Having Resilience to Machine Learning Attacks. CoRR abs/2404.02440 (2024)
• 
  Elena R. Henderson, Jessie M. Henderson, William V. Oxford, Mitchell A. Thornton:
  Automated Quantum Circuit Generation for Computing Inverse Hash Functions. CoRR abs/2404.17142 (2024)
• 2023
• 
  Matthew Lee, Clayton A. Harper, William Flinchbaugh, Eric C. Larson, Mitchell A. Thornton:
  Impacts of Synthetically Generated Data on Trackformer-based Multi-Object Tracking. AIPR 2023: 1-7
• 
  Joshua Sylvester, Matthew Lee, Daniel Canon Ellis, Mitchell A. Thornton, Eric C. Larson:
  Using Time Series Clustering to Inform Multimodal CNN Architectures. AIPR 2023: 1-8
• 
  Zechariah Wolf, Eric Larson, Mitchell A. Thornton:
  Data Leakage in Isolated Virtualized Enterprise Computing Systems. ICISSP 2023: 118-123
• 
  Duncan L. MacFarlane, Hiva Shahoei, Ifeanyi G. Achu, Evan Stewart, William V. Oxford, Mitchell A. Thornton:
  Multiple-Valued Logic Physically Unclonable Function in Photonic Integrated Circuits. ISMVL 2023: 184-189
• 
  Aaron David Tucker, Caleb Biddulph, Claire Wang, Thorsten Joachims:
  Bandits with costly reward observations. UAI 2023: 2147-2156
• 
  Aaron David Tucker, Thorsten Joachims:
  Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits. WSDM 2023: 967-975
• 
  Clayton A. Harper, Mitchell A. Thornton, Eric C. Larson:
  Automatic Modulation Classification with Deep Neural Networks. CoRR abs/2301.11773 (2023)
• 
  Connor N. Mallon, Aaron W. Thornton, Matthew R. Hill, Santiago Badia:
  Neural Level Set Topology Optimization Using Unfitted Finite Elements. CoRR abs/2303.13672 (2023)
• 
  Andrew Havard, Theodore W. Manikas, Eric C. Larson, Mitchell A. Thornton:
  CNN-Assisted Steganography - Integrating Machine Learning with Established Steganographic Techniques. CoRR abs/2304.12503 (2023)
• 2022
• 
  Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier:
  Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers Comput. Neurosci. 16: 885207 (2022)
• 
  Darrell L. Young, Mark Bigham, Mark Bradbury, Eric Larson, Mitchell A. Thornton:
  SMU-DDI Cyber Autonomy Range. AIPR 2022: 1-5
• 
  Matthew Lee, Joshua Sylvester, Sunjoli Aggarwal, Aviraj Sinha, Michael A. Taylor, Nathan Srirama, Eric C. Larson, Mitchell A. Thornton:
  Side Channel Identification using Granger Time Series Clustering with Applications to Control Systems. ICISSP 2022: 290-298
• 
  Xianshan Wen, Ruobing Hua, Jianye Liu, Tao Fu, Liang Fang, Xiaoran Wang, Mitchell A. Thornton, Ping Gui:
  Controller Area Network (CAN) Bus Transceiver with Authentication Support. ISCAS 2022: 1328-1331
• 
  Aviraj Sinha, Mitchell A. Thornton:
  Quantum Multiple Valued Kernel Circuits. ISMVL 2022: 1-8
• 
  Rob Oshana, Mitchell A. Thornton, Mike Caraman:
  A Side Channel Attack Detection System Using Processor Core Events and a Support Vector Machine. MECO 2022: 1-8
• 
  Michael A. Taylor, Eric C. Larson, Mitchell A. Thornton:
  General Process Detection Through Physical Side Channel Characterization. SysCon 2022: 1-8
• 
  Aaron David Tucker, Thorsten Joachims:
  Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits. CoRR abs/2202.01721 (2022)
• 
  Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier:
  Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn. CoRR abs/2202.13822 (2022)
• 
  Aviraj Sinha, Elena R. Henderson, Jessie M. Henderson, Mitchell A. Thornton:
  Automated Quantum Memory Compilation with Improved Dynamic Range. CoRR abs/2211.09860 (2022)
• 2021
• 
  Clayton A. Harper, Aviraj Sinha, Mitchell A. Thornton, Eric C. Larson:
  SNR-Boosted Automatic Modulation Classification. ACSCC 2021: 372-375
• 
  Aviraj Sinha, Michael A. Taylor, Nathan Srirama, Theodore W. Manikas, Eric C. Larson, Mitchell A. Thornton:
  Industrial Control System Anomaly Detection Using Convolutional Neural Network Consensus. CCTA 2021: 693-700
• 
  Michael A. Taylor, Eric C. Larson, Mitchell A. Thornton:
  Rapid Ransomware Detection through Side Channel Exploitation. CSR 2021: 47-54
• 
  Rob Oshana, Mitchell A. Thornton, Eric C. Larson, Xavier Roumegue:
  Real-Time Edge Processing Detection of Malicious Attacks Using Machine Learning and Processor Core Events. SysCon 2021: 1-8

skipping 135 more matches