• 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 391 matches

• 2024
• 
  Zohreh Masoumi, John L. van Genderen:
  Artificial intelligence for sustainable development of smart cities and urban land-use management. Geo spatial Inf. Sci. 27(4): 1212-1236 (2024)
• 
  Kevin Hore, Mong Hoi Tan, Anne Kehoe, Aidan Beegan, Sabina Mason, Nader Al Mane, Deirdre Hughes, Caroline Kelly, John Wells, Claire Magner:
  Cybersecurity and critical care staff: A mixed methods study. Int. J. Medical Informatics 185: 105412 (2024)
• 
  Abigail Hickok, Benjamin Jarman, Michael Johnson, Jiajie Luo, Mason A. Porter:
  Persistent Homology for Resource Coverage: A Case Study of Access to Polling Sites. SIAM Rev. 66(3): 481-500 (2024)
• 
  Andrei Ermakov, Zain Anwar Ali, Kumars Mahmoodi, Oliver Mason, John V. Ringwood:
  A Frequency Domain-Based Control Methodology for Performance Assessment and Optimisation of Heterogeneous Arrays of Wave Energy Converters. CCTA 2024: 584-589
• 
  Lixi Zhou, Qi Lin, Kanchan Chowdhury, Saif Masood, Alexandre E. Eichenberger, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Jia Zou:
  Serving Deep Learning Models from Relational Databases. EDBT 2024: 717-724
• 
  Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan:
  A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction. IJCAI 2024: 7474-7482
• 
  Nikita Soni, Oluwatomisin Obajemu, Katarina Jurczyk, Chaitra Peddireddy, Maeson Vallee, Ailish Tierney, Niloufar Saririan, Cameron John Zuck, Kathryn A. Stofer, Lisa Anthony:
  A Comparative Usability Study of Physical Multi-touch versus Virtual Desktop-Based Spherical Interfaces. VR 2024: 806-816
• 
  Adam Orucu, Farnaz Moradi, Masoumeh Ebrahimi, Andreas Johnsson:
  Towards Neural Architecture Search for Transfer Learning in 6G Networks. CoRR abs/2406.02333 (2024)
• 
  Nguyen Thach, Patrick Habecker, Bergen Johnston, Lillianna Cervantes, Anika Eisenbraun, Alex Mason, Kimberly Tyler, Bilal Khan, Hau Chan:
  A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction. CoRR abs/2407.13047 (2024)
• 
  Gilles Van De Vyver, Svein-Erik Måsøy, Håvard Dalen, Bjørnar Leangen Grenne, Espen Holte, Sindre Hellum Olaisen, John Nyberg, Andreas Østvik, Lasse Løvstakken, Erik Smistad:
  Regional quality estimation for echocardiography using deep learning. CoRR abs/2408.00591 (2024)
• 2023
• 
  Sten Grüner, Mario Hoernicke, Katharina Stark, Nicolai Schoch, Nafise Eskandani, John Pretlove:
  Towards asset administration shell-based continuous engineering in process industries. Autom. 71(8): 689-708 (2023)
• 
  Kathryn Sharratt, Esther Nanfuka, Samantha J. Mason, Eric A. Ochen, Florence Turyomurugyendo, Melanie Barwick, John Pearson, Hayley Royston, Nadia Wager:
  Evaluation of a serious gaming intervention to prevent child marriage in Uganda. Comput. Hum. Behav. 143: 107627 (2023)
• 
  Jean Justus John, U. Sakthi, K. Priyadarshini, B. Thiyaneswaran, Masoud Alajmi, Marwa Ismael Obayya, Manar Ahmed Hamza:
  Hybridization of Metaheuristics Based Energy Efficient Scheduling Algorithm for Multi-Core Systems. Comput. Syst. Sci. Eng. 44(1): 205-219 (2023)
• 
  Zihao Johnson Zheng, Mumtaz Ali, Mehdi Jamei, Yong Xiang, Masoud Karbasi, Zaher Mundher Yaseen, Aitazaz Ahsan Farooque:
  Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach. Eng. Appl. Artif. Intell. 121: 105984 (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)
• 
  Lauren M. Sanders, Ryan T. Scott, Jason H. Yang, Amina Ann Qutub, Héctor García Martín, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes:
  Biological research and self-driving labs in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 208-219 (2023)
• 
  Ryan T. Scott, Lauren M. Sanders, Erik L. Antonsen, Jaden J. A. Hastings, Seung-Min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes:
  Biomonitoring and precision health in deep space supported by artificial intelligence. Nat. Mac. Intell. 5(3): 196-207 (2023)
• 
  Masoud Makrehchi, Dell Zhang, Alina Petrova, John Armour:
  The 3rd International Workshop on Mining and Learning in the Legal Domain. CIKM 2023: 5277-5280
• 
  Maciej Sypetkowski, Morteza Rezanejad, Saber Saberian, Oren Kraus, John Urbanik, James Taylor, Ben Mabey, Mason Victors, Jason Yosinski, Alborz Rezazadeh Sereshkeh, Imran S. Haque, Berton Earnshaw:
  RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods. CVPR Workshops 2023: 4285-4294
• 
  Michael Przystupa, Kerrick Johnstonbaugh, Zichen Zhang, Laura Petrich, Masood Dehghan, Faezeh Haghverd, Martin Jägersand:
  Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators. ICRA 2023: 857-863
• 
  Bahar Houtan, Mehmet Onur Aybek, Mohammad Ashjaei, Masoud Daneshtalab, Mikael Sjödin, John Lundbäck, Saad Mubeen:
  End-to-end Timing Modeling and Analysis of TSN in Component-Based Vehicular Software. ISORC 2023: 126-135
• 
  Douglas M. Jennewein, Johnathan Lee, Chris Kurtz, William Dizon, Ian Shaeffer, Alan Chapman, Alejandro Chiquete, Josh Burks, Amber Carlson, Natalie Mason, Arhat Kobawala, Thirugnanam Jagadeesan, Praful Bhargav Basani, Torey Battelle, Rebecca Belshe, Deb McCaffrey, Marisa Brazil, Chaitanya Inumella, Kirby Kuznia, Jade Buzinski, Dhruvil Deepakbhai Shah, Sean M. Dudley, Gil Speyer, Jason Yalim:
  The Sol Supercomputer at Arizona State University. PEARC 2023: 296-301
• 
  Maciej Sypetkowski, Morteza Rezanejad, Saber Saberian, Oren Kraus, John Urbanik, James Taylor, Ben Mabey, Mason Victors, Jason Yosinski, Alborz Rezazadeh Sereshkeh, Imran S. Haque, Berton Earnshaw:
  RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods. CoRR abs/2301.05768 (2023)
• 
  Alexandre E. Eichenberger, Qi Lin, Saif Masood, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Lixi Zhou, Jia Zou:
  Serving Deep Learning Model in Relational Databases. CoRR abs/2310.04696 (2023)
• 
  Debvrat Varshney, Masoud Yari, Oluwanisola Ibikunle, Jilu Li, John Paden, Maryam Rahnemoonfar:
  Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Firn Layers in Radar Echograms. CoRR abs/2310.19574 (2023)
• 
  Masoud Makrehchi, Dell Zhang, Alina Petrova, John Armour:
  Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23). CoRR abs/2311.10733 (2023)
• 
  John Mason Taylor, Rebecca Drucker, Chris Alvin, Syed Fahad Sultan:
  Simpson's Paradox and Lagging Progress in Completion Trends of Underrepresented Students in Computer Science. CoRR abs/2311.14891 (2023)
• 
  Kate Baumli, Satinder Baveja, Feryal M. P. Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Hussain Masoom, Kay McKinney, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker, Stephen Spencer, Richie Steigerwald, Luyu Wang, Lei Zhang:
  Vision-Language Models as a Source of Rewards. CoRR abs/2312.09187 (2023)
• 2022
• 
  Suvash Sharma, Lalitha Dabbiru, Tyler Hannis, George Mason, Daniel W. Carruth, Matthew Doude, Christopher Goodin, Christopher R. Hudson, Sam Ozier, John E. Ball, Bo Tang:
  CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving. IEEE Access 10: 24759-24768 (2022)
• 
  Jaume Masoliver, Miquel Montero, Josep Perelló, J. Doyne Farmer, John Geanakoplos:
  Valuing the Future and Discounting in Random Environments: A Review. Entropy 24(4): 496 (2022)

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