• 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 48 matches

• 2024
• 
  Hideaki Joko, Shubham Chatterjee, Andrew Ramsay, Arjen P. de Vries, Jeff Dalton, Faegheh Hasibi:
  Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search. SIGIR 2024: 796-806
• 
  Sophie Fischer, Federico Rossetto, Carlos Gemmell, Andrew Ramsay, Iain Mackie, Philip Zubel, Niklas Tecklenburg, Jeffrey Dalton:
  Open Assistant Toolkit - version 2. CoRR abs/2403.00586 (2024)
• 
  Hideaki Joko, Shubham Chatterjee, Andrew Ramsay, Arjen P. de Vries, Jeff Dalton, Faegheh Hasibi:
  Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search. CoRR abs/2405.03480 (2024)
• 2023
• 
  Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Dalton Schutte, Rui Zhang, Masoud Rouhizadeh, John D. Osborne, Yongqun He, Umit Topaloglu, Stephanie S. Hong, Joel H. Saltz, Thomas Schaffter, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu:
  An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 30(12): 2036-2040 (2023)
• 
  Marie L. Urban, Jessica Moehl, Philipe A. Dias, Joseph Tuccillo, Andrew Reith, Kelly M. Sims, Sarah Walters, Jacob Arndt, Abhishek Potnis, Dalton D. Lunga:
  Towards Rapid Response Updates of Populations at Risk. IGARSS 2023: 907-910
• 2022
• 
  Shahrzad Naseri, Jeffrey Dalton, Andrew Yates, James Allan:
  CEQE to SQET: A study of contextualized embeddings for query expansion. Inf. Retr. J. 25(2): 184-208 (2022)
• 
  Dalton Chichester, Wei Du, Raymond Kauffman, Hai Lin, Christopher Lynch, Andrew M. Marshall, Catherine A. Meadows, Paliath Narendran, Veena Ravishankar, Luis Rovira, Brandon Rozek:
  CryptoSolve: Towards a Tool for the Symbolic Analysis of Cryptographic Algorithms. GandALF 2022: 147-161
• 2021
• 
  Shahrzad Naseri, Jeff Dalton, Andrew Yates, James Allan:
  CEQE: Contextualized Embeddings for Query Expansion. ECIR (1) 2021: 467-482
• 
  Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton, Andrew Yates:
  DiffIR: Exploring Differences in Ranking Models' Behavior. SIGIR 2021: 2595-2599
• 
  Iain Mackie, Jeffrey Dalton, Andrew Yates:
  How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. SIGIR 2021: 2335-2341
• 
  Shahrzad Naseri, Jeffrey Dalton, Andrew Yates, James Allan:
  CEQE: Contextualized Embeddings for Query Expansion. CoRR abs/2103.05256 (2021)
• 
  Iain Mackie, Jeff Dalton, Andrew Yates:
  How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. CoRR abs/2105.07975 (2021)
• 2020
• 
  Arthur Elmes, Seyed Hamed Alemohammad, Ryan Avery, Kelly K. Caylor, J. Ronald Eastman, Lewis Fishgold, Mark A. Friedl, Meha Jain, Divyani Kohli, Juan Carlos Laso Bayas, Dalton D. Lunga, Jessica L. McCarty, Robert Gilmore Pontius Jr., Andrew B. Reinmann, John Rogan, Lei Song, Hristiana Stoynova, Su Ye, Zhuang-Fang Yi, Lyndon D. Estes:
  Accounting for Training Data Error in Machine Learning Applied to Earth Observations. Remote. Sens. 12(6): 1034 (2020)
• 
  Ron Andrews, Dalton A. Hahn, Alexandru G. Bardas:
  Measuring the Prevalence of the Password Authentication Vulnerability in SSH. ICC 2020: 1-7
• 
  Diarmuid Cahalane, Patrick Connolly, Andrew Dalton, Bogdan Saceleanu, Medb Corcoran:
  Data Scientists and Designers Can Create The Jobs of The Future. DaSH@KDD 2020
• 
  Andrew Draganov, Carter Brown, Enrico Mattei, Cass Dalton, Jaspreet Ranjit:
  Open set recognition through unsupervised and class-distance learning. WiseML@WiSec 2020: 7-12
• 2019
• 
  Robert S. Miller, Wendy S. Rubinstein, Andrew D. Norden, Shawn M. Sweeney, William S. Dalton:
  Unlocking the potential of real-world evidence (RWE) in oncology - technology- and informatics-enabled solutions for clinical care, precision medicine, and discovery. AMIA 2019
• 
  Enrico Mattei, Cass Dalton, Andrew Draganov, Brent Marin, Michael Tinston, Greg Harrison, Bob Smarrelli, Marc Harlacher:
  Feature Learning for Enhanced Security in the Internet of Things. GlobalSIP 2019: 1-5
• 2018
• 
  Dalton D. Lunga, Hsiuhan Lexie Yang, Andrew Reith, Jeanette E. Weaver, Jiangye Yuan, Budhendra L. Bhaduri:
  Domain-Adapted Convolutional Networks for Satellite Image Classification: A Large-Scale Interactive Learning Workflow. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 962-977 (2018)
• 
  Jeanette E. Weaver, Brian Moore, Andrew Reith, Jacob J. McKee, Dalton D. Lunga:
  A Comparison of Machine Learning Techniques to Extract Human Settlements from High Resolution Imagery. IGARSS 2018: 6412-6415
• 2012
• 
  Brendon M. Nacewicz, Lisa Angelos, Kim M. Dalton, Ron Fischer, Michael J. Anderle, Andrew L. Alexander, Richard J. Davidson:
  Reliable non-invasive measurement of human neurochemistry using proton spectroscopy with an anatomically defined amygdala-specific voxel. NeuroImage 59(3): 2548-2559 (2012)
• 
  Keith Harrison, Behzad Bordbar, Syed T. T. Ali, Chris I. Dalton, Andrew P. Norman:
  A Framework for Detecting Malware in Cloud by Identifying Symptoms. EDOC 2012: 164-172
• 2011
• 
  Moo K. Chung, Nagesh Adluru, Kim M. Dalton, Andrew L. Alexander, Richard J. Davidson:
  Scalable brain network construction on white matter fibers. Medical Imaging: Image Processing 2011: 79624G
• 
  Antonio Sanfilippo, Scott Butner, Andrew J. Cowell, Angela Dalton, Jereme Haack, Sean Kreyling, Rick Riensche, Amanda M. White, Paul Whitney:
  Technosocial Predictive Analytics for Illicit Nuclear Trafficking. SBP 2011: 374-381
• 2010
• 
  Andrew R. Dalton, William C. Kreahling:
  Automated construction of memory diagrams for program comprehension. ACM Southeast Regional Conference 2010: 22
• 
  James B. Fenwick Jr., Cindy Norris, Andrew R. Dalton, William C. Kreahling:
  24/7 lectures as an exam review technique. SIGCSE 2010: 455-459
• 2009
• 
  Andrew R. Dalton, Jason O. Hallstrom, Hamza A. Zia, Nigamanth Sridhar:
  Reducing the Impact of Link Quality Variation in Embedded Wireless Networks? Ad Hoc Sens. Wirel. Networks 7(3-4): 139-167 (2009)
• 
  Andrew R. Dalton, Jason O. Hallstrom:
  An Interactive, Source-Centric, Open Testbed for Developing and Profiling Wireless Sensor Systems. Int. J. Distributed Sens. Networks 5(2): 105-138 (2009)
• 
  Andrew R. Dalton, Jason O. Hallstrom:
  nAIT: A source analysis and instrumentation framework for nesC. J. Syst. Softw. 82(7): 1057-1072 (2009)
• 
  Andrew R. Dalton, Sally K. Wahba, Sravanthi Dandamudi, Jason O. Hallstrom:
  Visualizing the runtime behavior of embedded network systems: A toolkit for TinyOS. Sci. Comput. Program. 74(7): 446-469 (2009)

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