• 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 161 matches

• 2024
• 
  Patrick Kasl, Lauryn Keeler Bruce, Wendy Hartogensis, Subhasis Dasgupta, Leena S. Pandya, Stephan Dilchert, Frederick M. Hecht, Amarnath Gupta, Ilkay Altintas, Ashley Mason, Benjamin L. Smarr:
  Utilizing Wearable Device Data for Syndromic Surveillance: A Fever Detection Approach. Sensors 24(6): 1818 (2024)
• 
  Hena Ahmed, Ravi Shende, Ismael Pérez, Daniel Crawl, Shweta Purawat, Ilkay Altintas:
  Towards an Integrated Performance Framework for Fire Science and Management Workflows. CCGridW 2024: 78-83
• 
  Ilkay Altintas, Shweta Purawat, Ismael Pérez, Jenny Lee, Melissa Floca, Jessica Block, Josh Breslow, Daniel Crawl:
  Streamlined Edge Computing for Fire Science and Management using WIFIRE Edge. e-Science 2024: 1-10
• 
  Yeshvant Matey, Raymond A. de Callafon, Ilkay Altintas:
  Optimizing Prescribed Burn Risk Management: A Computational and Economic Modeling Approach Using QUIC FIRE Simulations. ICCS (2) 2024: 266-280
• 
  Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar:
  Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. SDM 2024: 589-597
• 
  Jessica Kendall-Bar, Isaac Nealey, Ian Costello, Christopher Lowrie, Kevin Huynh Nguyen, Paul J. Ponganis, Michael W. Beck, Ilkay Altintas:
  EcoViz: co-designed environmental data visualizations to communicate ecosystem impacts, inform management, and envision solutions. Viz4Climate + Sustainability@VIS 2024: 17-27
• 
  Amarnath Gupta, Shweta Purawat, Subhasis Dasgupta, Pratyush Karmakar, Elaine Chi, Ilkay Altintas:
  Bridging eResearch Infrastructure and Experimental Materials Science Process in the Quantum Data Hub. CoRR abs/2405.19706 (2024)
• 
  Hena Ahmed, Ravi Shende, Ismael Pérez, Daniel Crawl, Shweta Purawat, Ilkay Altintas:
  Towards an Integrated Performance Framework for Fire Science and Management Workflows. CoRR abs/2407.21231 (2024)
• 2023
• 
  Tapio Schneider, Ilkay Altintas, Daniel Atkins:
  Accelerating Scientific Discovery With AI-Aided Automation. Comput. Sci. Eng. 25(5): 27-30 (2023)
• 
  Jaspreet Kaur Bhamra, Shreyas Anantha Ramaprasad, Siddhant Baldota, Shane Luna, Eugene Zen, Ravi Ramachandra, Harrison Kim, Chris Schmidt, Chris Arends, Jessica Block, Ismael Pérez, Daniel Crawl, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen:
  Multimodal Wildland Fire Smoke Detection. Remote. Sens. 15(11): 2790 (2023)
• 
  Beth Plale, Preeti Malakar, Meenakshi D'Souza, Hemangee K. Kapoor, Yogesh Simmhan, Ilkay Altintas, Manohar Swaminathan:
  CCGRID 2023: A Holistic Approach to Inclusion and Belonging. CCGrid 2023: 684-685
• 
  Ilkay Altintas:
  From Workflows to Teamflows in eScience: Integrating Collaborative Science, AI, and Computing for Impact at Scale. e-Science 2023: 1-2
• 
  Rizbanul Hasan, Shweta Purawat, Catherine Olschanowsky, Ilkay Altintas:
  Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility. e-Science 2023: 1-7
• 
  Ivannia Gomez Moreno, Isaac Nealey, Daniel Roten, Mai H. Nguyen, Daniel Crawl, Kate O'Laughlin, Melissa Floca, Scott Pokswinski, Ilkay Altintas:
  Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification. e-Science 2023: 1-2
• 
  Manish Parashar, Ilkay Altintas:
  Toward Democratizing Access to Science Data: Introducing the National Data Platform. e-Science 2023: 1-4
• 
  Daniel Roten, Lucas A. Wells, Daniel Crawl, Russell Parsons, Anthony Marcozzi, Rodman R. Linn, John Kevin Hiers, Ilkay Altintas:
  TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations. e-Science 2023: 1-10
• 
  Rujula Yete, Shweta Purawat, Ismael Pérez, Daniel Crawl, Ilkay Altintas:
  Automating the Evaluation of Datasets for FAIR and CARE Principles. e-Science 2023: 1-2
• 
  Li Tan, Raymond A. de Callafon, Mai H. Nguyen, Ilkay Altintas:
  Ensemble Based Learning for Automated Safety Labeling of Prescribed Fires. ICCS (1) 2023: 639-652
• 
  Li Tan, Yangsheng Hu, Shuo Tan, Raymond A. de Callafon, Ilkay Altintas:
  Wildfire Perimeter Detection via Iterative Trimming Method. ICCS (1) 2023: 307-320
• 
  Daniel Balouek-Thomert, Ismael Pérez, Sam D. Faulstich, Heather A. Holmes, Ilkay Altintas, Manish Parashar:
  Keynote Talk: Leveraging the Edge-Cloud Continuum to Manage the Impact of Wildfires on Air Quality. PerCom Workshops 2023: 27-31
• 
  Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
  23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0119-9 [contents]
• 
  Yogesh Simmhan, Ilkay Altintas, Ana Lucia Varbanescu, Pavan Balaji, Abhinandan S. Prasad, Lorenzo Carnevale:
  23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023 - Workshops, Bangalore, India, May 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0208-0 [contents]
• 
  Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.:
  Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023)
• 
  Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar:
  Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. CoRR abs/2310.01593 (2023)
• 2022
• 
  Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang:
  Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43(1): 93-104 (2022)
• 
  Li Tan, Raymond A. de Callafon, Jessica Block, Daniel Crawl, Tolga Çaglar, Ilkay Altintas:
  Estimation of wildfire wind conditions via perimeter and surface area optimization. J. Comput. Sci. 61: 101633 (2022)
• 
  Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen:
  FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. Remote. Sens. 14(4): 1007 (2022)
• 
  Daniel Roten, Jessica Block, Daniel Crawl, Jenny Lee, Ilkay Altintas:
  Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction. IEEE Big Data 2022: 1681-1690
• 
  Ilkay Altintas:
  Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence. DDDAS 2022: 382-385
• 
  Ilkay Altintas, Ismael Pérez, Dmitry Mishin, Adrien Trouillaud, Christopher Irving, John Graham, Mahidhar Tatineni, Thomas A. DeFanti, Shawn Strande, Larry Smarr, Michael L. Norman:
  Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing. e-Science 2022: 336-345

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