• 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 655 matches

• 2024
• 
  Yash Patel, Chenghao Zhu, Takafumi N. Yamaguchi, Yuan Zhe Bugh, Mao Tian, Aaron Holmes, Sorel T. Fitz-Gibbon, Paul C. Boutros:
  NFTest: automated testing of Nextflow pipelines. Bioinform. 40(2) (2024)
• 
  Yu Fei, Rongli Li, Zhouhong Li, Guoqi Q. Qian:
  Clustering Longitudinal Data for Growth Curve Modelling by Gibbs Sampler and Information Criterion. J. Classif. 41(2): 371-401 (2024)
• 
  Bryce Clarke, Derek Elkins, Jeremy Gibbons, Fosco Loregiàn, Bartosz Milewski, Emily Pillmore, Mario Román:
  Profunctor Optics, a Categorical Update. Compositionality 6: 1 (2024)
• 
  David Dereudre, Daniela Flimmel:
  Non-hyperuniformity of Gibbs point processes with short-range interactions. J. Appl. Probab. 61(4): 1380-1406 (2024)
• 
  Jorge Eduardo Macías-Díaz, Adán J. Serna-Reyes, Luis A. Flores-Oropeza:
  A stable and convergent finite-difference model which conserves the positivity and the dissipativity of Gibbs' free energy for a nonlinear combustion equation. J. Comput. Appl. Math. 437: 115492 (2024)
• 
  José Ferraz-Caetano, Filipe Teixeira, Dthenifer Cordeiro Santana:
  Explainable Supervised Machine Learning Model To Predict Solvation Gibbs Energy. J. Chem. Inf. Model. 64(7): 2250-2262 (2024)
• 
  Brunilda Balliu, Chris Douglas, Darsol Seok, Liat Shenhav, Yue Wu, Doxa Chatzopoulou, William Kaiser, Victor Chen, Jennifer Kim, Sandeep Deverasetty, Inna Arnaudova, Robert Gibbons, Eliza Congdon, Michelle G. Craske, Nelson B. Freimer, Eran Halperin, Sriram Sankararaman, Jonathan Flint:
  Personalized mood prediction from patterns of behavior collected with smartphones. npj Digit. Medicine 7(1) (2024)
• 
  Aarzoo Dhiman, Elad Yom-Tov, Lorenzo Pellis, Michael Edelstein, Richard Pebody, Andrew Hayward, Thomas A. House, Thomas Finnie, David Guzman, Vasileios Lampos, Rob Aldridge, Sarah Beale, Thomas Byrne, Jana Kovar, Isobel Braithwaite, Ellen Fragaszy, Wing Lam Erica Fong, Cyril Geismar, Susan Hoskins, Annalan Navaratnam, Vincent Nguyen, Parth Patel, Maddie Shrotri, Alexei Yavlinsky, Pia Hardelid, Linda Wijlaars, Eleni Nastouli, Moira Spyer, Anna Aryee, Rachel A. McKendry, Tao Cheng, Anne Johnson, Susan Michie, Jo Gibbs, Richard Gilson, Alison Rodger, Ingemar J. Cox:
  Estimating the household secondary attack rate and serial interval of COVID-19 using social media. npj Digit. Medicine 7(1) (2024)
• 
  Yingchun Shen, Wei Feng, Meng Yang, Min Zhong, Wei Tian, Yuhao Xiong, Zhongshan Jiang:
  A New Combination Approach for Gibbs Phenomenon Suppression in Regional Validation of Global Gravity Field Model: A Case Study in North China. Remote. Sens. 16(15): 2756 (2024)
• 
  Mark Iradukunda, Marc W. van Iersel, Lynne Seymour, Guoyu Lu, Rhuanito Soranz Ferrarezi:
  Automated Imaging to Evaluate the Exogenous Gibberellin (Ga3) Impact on Seedlings from Salt-Stressed Lettuce Seeds. Sensors 24(13): 4228 (2024)
• 
  Khadija Shakeel, Alina Alb Lupas, Muhammad Abbas, Pshtiwan Othman Mohammed, Farah Aini Abdullah, Mohamed Abdelwahed:
  Construction of Soliton Solutions of Time-Fractional Caudrey-Dodd-Gibbon-Sawada-Kotera Equation with Painlevé Analysis in Plasma Physics. Symmetry 16(7): 824 (2024)
• 
  Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais:
  Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference. IEEE Trans. Image Process. 33: 3496-3507 (2024)
• 
  Arvind S. Raj, Wil Gibbs, Fangzhou Dong, Jayakrishna Menon Vadayath, Michael Tompkins, Steven Wirsz, Yibo Liu, Zhenghao Hu, Chang Zhu, Gokulkrishna Praveen Menon, Brendan Dolan-Gavitt, Adam Doupé, Ruoyu Wang, Yan Shoshitaishvili, Tiffany Bao:
  Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing. CCS 2024: 3719-3733
• 
  Jed R. Brubaker, Meredith Ringel Morris, Dylan Thomas Doyle, Casey Fiesler, Martin Gibbs, Joanna McGrenere:
  AI and the Afterlife. CHI Extended Abstracts 2024: 458:1-458:5
• 
  Nina Khairova, Yehor Holyk, Dmytro Sytnikov, Yurii Mishcheriakov, Nadiia Shanidze:
  Topic Modelling of Ukraine War-Related News Using Latent Dirichlet Allocation with Collapsed Gibbs Sampling. COLINS (3) 2024: 1-15
• 
  Jonathan Turner, Sinéad Impey, Frances Gibbons, Anthony M. Bolger, Gaye Stephens, Lucy Hederman, Ramisa Hamed, Ciara O'Meara, Ferran de la Varga, John Kommala, Matthew Nicholson, Daniel Farrell, Miriam Galvin, Mark Heverin, Éanna Mac Domhnaill, Robert McFarlane, Dara Meldrum, Deirdre Murray, Orla Hardiman:
  Data and Process Harmonisation of Multi-National, Multi-Site Research Data. MIE 2024: 1411-1412
• 
  Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
  ACROBAT: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time. MLSys 2024
• 
  Niharika Bhaskar, Amari N. Lewis, Rona Darabi, Joana Fang, Jingting Liu, Kristen Vaccaro, Joe Gibbs Politz, Mia Minnes:
  Welcoming Students to Undergraduate Computer Science Programs: On-ramps, Rest Areas, and Lane Changes. SIGCSE (1) 2024: 109-115
• 
  Anish Athalye, Henry Corrigan-Gibbs, M. Frans Kaashoek, Joseph Tassarotti, Nickolai Zeldovich:
  Modular Verification of Secure and Leakage-Free Systems: From Application Specification to Circuit-Level Implementation. SOSP 2024: 655-672
• 
  Zion Leonahenahe Basque, Ati Priya Bajaj, Wil Gibbs, Jude O'Kain, Derron Miao, Tiffany Bao, Adam Doupé, Yan Shoshitaishvili, Ruoyu Wang:
  Ahoy SAILR! There is No Need to DREAM of C: A Compiler-Aware Structuring Algorithm for Binary Decompilation. USENIX Security Symposium 2024
• 
  Wil Gibbs, Arvind S. Raj, Jayakrishna Menon Vadayath, Hui Jun Tay, Justin Miller, Akshay Ajayan, Zion Leonahenahe Basque, Audrey Dutcher, Fangzhou Dong, Xavier J. Maso, Giovanni Vigna, Christopher Kruegel, Adam Doupé, Yan Shoshitaishvili, Ruoyu Wang:
  Operation Mango: Scalable Discovery of Taint-Style Vulnerabilities in Binary Firmware Services. USENIX Security Symposium 2024
• 
  Chang Zhu, Ziyang Li, Anton Xue, Ati Priya Bajaj, Wil Gibbs, Yibo Liu, Rajeev Alur, Tiffany Bao, Hanjun Dai, Adam Doupé, Mayur Naik, Yan Shoshitaishvili, Ruoyu Wang, Aravind Machiry:
  TYGR: Type Inference on Stripped Binaries using Graph Neural Networks. USENIX Security Symposium 2024
• 
  Elhadji C. Faye, Mame Diarra Fall, Nicolas Dobigeon:
  Regularization by denoising: Bayesian model and Langevin-within-split Gibbs sampling. CoRR abs/2402.12292 (2024)
• 
  Xueying Long, Daniel F. Schmidt, Christoph Bergmeir, Slawek Smyl:
  Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model. CoRR abs/2407.00492 (2024)
• 
  Jamie Burke, Justin Engelmann, Samuel Gibbon, Charlene Hamid, Diana Moukaddem, Dan Pugh, Tariq E. Farrah, Niall C. Strang, Neeraj Dhaun, Thomas J. MacGillivray, Stuart King, Ian J. C. MacCormick:
  OCTolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in optical coherence tomography (OCT) and scanning laser ophthalmoscopy (SLO) data. CoRR abs/2407.14128 (2024)
• 
  Rafael Flock, Shuigen Liu, Yiqiu Dong, Xin T. Tong:
  Local MALA-within-Gibbs for Bayesian image deblurring with total variation prior. CoRR abs/2409.09810 (2024)
• 
  Maryam Berijanian, Spencer Dork, Kuldeep Singh, Michael Riley Millikan, Ashlin Riggs, Aadarsh Swaminathan, Sarah L. Gibbs, Scott E. Friedman, Nathan Brugnone:
  Soft Measures for Extracting Causal Collective Intelligence. CoRR abs/2409.18911 (2024)
• 
  Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent:
  Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. CoRR abs/2410.14943 (2024)
• 2023
• 
  Markus Flatken, Artur Podobas, Riccardo Fellegara, Achim Basermann, Johannes Holke, David Knapp, Max Kontak, Christian Krullikowski, Michael Nolde, Nick Brown, Rupert Nash, Gordon Gibb, Evgenij Belikov, Steven Wei Der Chien, Stefano Markidis, Pierre Guillou, Julien Tierny, Jules Vidal, Charles Gueunet, Johannes Günther, Miroslaw Pawlowski, Piero Poletti, Giorgio Guzzetta, Mattia Manica, Agnese Zardini, Jean-Pierre Chaboureau, Miguel Mendes, Adrián Cardil, Santiago Monedero, Joaquín Ramírez, Andreas Gerndt:
  VESTEC: Visual Exploration and Sampling Toolkit for Extreme Computing. IEEE Access 11: 87805-87834 (2023)
• 
  Arnan Araza, Martin Herold, Sytze de Bruin, Philippe Ciais, David A. Gibbs, Nancy Harris, Maurizio Santoro, Jean-Pierre Wigneron, Hui Yang, Natalia Málaga, Karimon Nesha, Pedro Rodríguez-Veiga, Olga V. Brovkina, Hugh C. A. Brown, Milen Chanev, Zlatomir Dimitrov, Lachezar Filchev, Jonas Fridman, Mariano García, Alexander Gikov, Leen Govaere, Petar Dimitrov, Fardin Moradi, Adriane Esquivel Muelbert, Jan Novotný, Thomas A. M. Pugh, Mart-Jan Schelhaas, Dmitry Schepaschenko, Krzysztof Sterenczak, Lars Hein:
  Past decade above-ground biomass change comparisons from four multi-temporal global maps. Int. J. Appl. Earth Obs. Geoinformation 118: 103274 (2023)

skipping 625 more matches