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ORCIDIlkay Altintas
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- affiliation: San Diego Supercomputer Center (SDSC), CA, USA
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2020 – today
- 2024
[j30]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)- [c104]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 - [c103]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 - [c102]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 - [c101]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 - [i18]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) - [i17]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
- [j29]Tapio Schneider, Ilkay Altintas, Daniel Atkins:
Accelerating Scientific Discovery With AI-Aided Automation. Comput. Sci. Eng. 25(5): 27-30 (2023) - [j28]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) - [c100]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 - [c99]Ilkay Altintas:
From Workflows to Teamflows in eScience: Integrating Collaborative Science, AI, and Computing for Impact at Scale. e-Science 2023: 1-2 - [c98]Rizbanul Hasan, Shweta Purawat, Catherine Olschanowsky, Ilkay Altintas:
Preserving File Provenance Using Principles of Blockchain to Ensure Scientific Reproducibility. e-Science 2023: 1-7 - [c97]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 - [c96]Manish Parashar, Ilkay Altintas:
Toward Democratizing Access to Science Data: Introducing the National Data Platform. e-Science 2023: 1-4 - [c95]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 - [c94]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 - [c93]Li Tan, Yangsheng Hu, Shuo Tan, Raymond A. de Callafon, Ilkay Altintas:
Wildfire Perimeter Detection via Iterative Trimming Method. ICCS (1) 2023: 307-320 - [c92]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 - [c91]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 - [e4]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] - [e3]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] - [i16]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) - 2022
- [j27]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) - [j26]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) - [j25]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) - [c90]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 - [c89]Ilkay Altintas:
Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence. DDDAS 2022: 382-385 - [c88]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 - [c87]Isaac Nealey, Daniela Encinas Pacheco, Ivannia Gomez Moreno, Melissa Floca, Daniel Crawl, Ilkay Altintas:
A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns. e-Science 2022: 429-430 - [c86]Li Tan, Raymond A. de Callafon, Ilkay Altintas:
Characterizing Wildfire Perimeter Polygons from QUIC-Fire. ICCS (1) 2022: 611-622 - [c85]Ying Ding, Amit P. Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein:
International Workshop on Knowledge Graphs: Open Knowledge Network. KDD 2022: 4864-4865 - [i15]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. CoRR abs/2211.06918 (2022) - [i14]Siddhant Baldota, Shreyas Anantha Ramaprasad, Jaspreet Kaur Bhamra, Shane Luna, Ravi Ramachandra, Eugene Zen, Harrison Kim, Daniel Crawl, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen:
Multimodal Wildland Fire Smoke Detection. CoRR abs/2212.14143 (2022) - 2021
- [j24]Alok Singh, Shweta Purawat, Arvind Rao, Ilkay Altintas:
Modular performance prediction for scientific workflows using Machine Learning. Future Gener. Comput. Syst. 114: 1-14 (2021) - [j23]Ilkay Altintas:
Building cyberinfrastructure for translational impact: The WIFIRE example. J. Comput. Sci. 52: 101210 (2021) - [c84]Shweta Purawat, Subhasis Dasgupta, Jining Song, Shakti Davis, Kajal T. Claypool, Sandeep Chandra, Ashley Mason, Varun Viswanath, Amit Klein, Patrick Kasl, YingJing Wen, Benjamin L. Smarr, Amarnath Gupta, Ilkay Altintas:
TemPredict: A Big Data Analytical Platform for Scalable Exploration and Monitoring of Personalized Multimodal Data for COVID-19. IEEE BigData 2021: 4411-4420 - [c83]Li Tan, Raymond A. de Callafon, Jessica Block, Daniel Crawl, Ilkay Altintas:
Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements. ICCS (5) 2021: 231-244 - [c82]Shweta Purawat, Subhasis Dasgupta, Luke Burbidge, Julia L. Zuo, Stephen D. Wilson, Amarnath Gupta, Ilkay Altintas:
Quantum Data Hub: A Collaborative Data and Analysis Platform for Quantum Material Science. ICCS (1) 2021: 656-670 - [c81]Ilkay Altintas:
A Tale of Two C's: Convergence and Composability. IPDPS 2021: 1 - [c80]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf:
A Community Roadmap for Scientific Workflows Research and Development. WORKS 2021: 81-90 - [c79]Shawn Strande, Haisong Cai, Mahidhar Tatineni, Wayne Pfeiffer, Christopher Irving, Amit Majumdar, Dmitry Mishin, Robert S. Sinkovits, Mike Norman, Nicole Wolter, Trevor Cooper, Ilkay Altintas, Marty Kandes, Ismael Pérez, Manu Shantharam, Mary P. Thomas, Subhashini Sivagnanam, Thomas Hutton:
Expanse: Computing without Boundaries: Architecture, Deployment, and Early Operations Experiences of a Supercomputer Designed for the Rapid Evolution in Science and Engineering. PEARC 2021: 47:1-47:4 - [i13]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR abs/2103.09181 (2021) - [i12]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR abs/2106.05177 (2021) - [i11]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf:
A Community Roadmap for Scientific Workflows Research and Development. CoRR abs/2110.02168 (2021) - [i10]Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Gary Cottrell, Mai H. Nguyen:
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. CoRR abs/2112.08598 (2021) - [i9]Anna-Lena Lamprecht, Magnus Palmblad, Jon C. Ison, Veit Schwämmle, Mohammad Sadnan Al Manir, Ilkay Altintas, Christopher J. O. Baker, Ammar Ben Hadj Amor, Salvador Capella-Gutiérrez, Paulos Charonyktakis, Michael R. Crusoe, Yolanda Gil, Carole A. Goble, Timothy J. Griffin, Paul Groth, Hans Ienasescu, Pratik D. Jagtap, Matús Kalas, Vedran Kasalica, Alireza Khanteymoori, Tobias Kuhn, Hailiang Mei, Hervé Ménager, Steffen Möller, Robin A. Richardson, Vincent Robert, Stian Soiland-Reyes, Robert Stevens, Szaniszlo Szoke, Suzan Verberne, Aswin Verhoeven, Katherine Wolstencroft:
Perspectives on automated composition of workflows in the life sciences. F1000Research 10: 897 (2021) - 2020
- [c78]Ilkay Altintas:
Challenges and Opportunities for Composable AI-Integrated Applications at the Digital Continuum: Keynote. AICCSA 2020: 1 - [c77]Matthew Madany, Kyle Marcus, Steven Peltier, Mark H. Ellisman, Ilkay Altintas:
NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.I. IEEE BigData 2020: 320-330 - [c76]Ilkay Altintas:
Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligence. DDDAS 2020: 18-21 - [c75]Abhishek Subramanian, Li Tan, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas:
Recursive Updates of Wildfire Perimeters Using Barrier Points and Ensemble Kalman Filtering. ICCS (6) 2020: 225-236 - [c74]Shweta Purawat, Cathie Olschanowsky, Laura E. Condon, Reed M. Maxwell, Ilkay Altintas:
Scalable Workflow-Driven Hydrologic Analysis in HydroFrame. ICCS (1) 2020: 276-289 - [c73]Ilkay Altintas, Dorian C. Arnold, Martin Schulz, Matthew G. F. Dosanjh, Ryan E. Grant, Taylor L. Groves:
Workshop 16: SNACS Scalable Networks for Advanced Computing Systems. IPDPS Workshops 2020: 868
2010 – 2019
- 2019
- [j22]Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus:
Toward a Methodology and Framework for Workflow-Driven Team Science. Comput. Sci. Eng. 21(4): 37-48 (2019) - [j21]Andrés García-Silva, José Manuél Gómez-Pérez, Raúl Palma, Marcin Krystek, Simone Mantovani, Federica Foglini, Valentina Grande, Francesco De Leo, Stefano Salvi, Elisa Trasatti, Vito Romaniello, Mirko Albani, Cristiano Silvagni, Rosemarie Leone, Fulvio Marelli, Sergio Albani, Michele Lazzarini, Hazel J. Napier, Ilkay Altintas:
Enabling FAIR research in Earth Science through research objects. Future Gener. Comput. Syst. 98: 550-564 (2019) - [j20]Pei-Chi Yang, Shweta Purawat, Pek U. Ieong, Mao-Tsuen Jeng, Kevin R. DeMarco, Igor Vorobyov, Andrew D. McCulloch, Ilkay Altintas, Rommie E. Amaro, Colleen E. Clancy:
A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows. PLoS Comput. Biol. 15(3) (2019) - [j19]Adam Rule, Amanda Birmingham, Cristal Zuñiga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose:
Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks. PLoS Comput. Biol. 15(7) (2019) - [j18]Yan Tang, Jianwu Wang, Mai H. Nguyen, Ilkay Altintas:
PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data. Sensors 19(20): 4400 (2019) - [c72]Mai H. Nguyen, Jiaxin Li, Daniel Crawl, Jessica Block, Ilkay Altintas:
Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing. IEEE BigData 2019: 5437-5443 - [c71]Scott L. Sellars, Joulien Tatar, Phu Nguyen, Eric Shearer, Soroosh Sorooshian, F. Martin Ralph, John Graham, Dmitry Mishin, Kyle Marcus, Ilkay Altintas, Thomas A. DeFanti, Larry Smarr, Camille Crittenden, Frank Würthwein:
The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data. eScience 2019: 77-85 - [c70]Susanne Benz, Hogeun Park, Jiaxin Li, Daniel Crawl, Jessica Block, Mai H. Nguyen, Ilkay Altintas:
Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery. eScience 2019: 243-251 - [c69]Stephanie Labou, Ho Jung Yoo, David Minor, Ilkay Altintas:
Sharing and Archiving Data Science Course Projects to Support Pedagogy for Future Cohorts. eScience 2019: 644-645 - [c68]Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr:
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. IPDPS Workshops 2019: 865-873 - [c67]Ilkay Altintas:
PAISE 2019 Keynote Speaker. IPDPS Workshops 2019: 876 - [i8]Ilkay Altintas, Shweta Purawat, Daniel Crawl, Alok Singh, Kyle Marcus:
Towards A Methodology and Framework for Workflow-Driven Team Science. CoRR abs/1903.01403 (2019) - [i7]Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr:
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. CoRR abs/1903.06802 (2019) - [i6]Bosung Seo, Daniel Mariano, John Beckfield, Vinay Madenur, Yuming Hu, Tony Reina, Marcus Bobar, Mai H. Nguyen, Ilkay Altintas:
Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning. CoRR abs/1909.08028 (2019) - 2018
- [j17]Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter:
The future of scientific workflows. Int. J. High Perform. Comput. Appl. 32(1): 159-175 (2018) - [c66]Mai H. Nguyen, Jessica Block, Daniel Crawl, Vincent Siu, Akshit Bhatnagar, Federico Rodríguez, Alison Kwan, Namrita Baru, Ilkay Altintas:
Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning. IEEE BigData 2018: 1632-1638 - [c65]Alok Singh, Ilkay Altintas, Malachi Schram, Nathan R. Tallent:
Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows. IEEE BigData 2018: 3905-3914 - [c64]Mai H. Nguyen, Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Marcus Bobar, Eric D. Carruth, Dylan Uys, Ilkay Altintas, Evan D. Muse, Giorgio Quer, Steven R. Steinhubl:
Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning. eScience 2018: 305-306 - [c63]Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Daniel Crawl, Naroa Zurutuza, Dohyung Kim, Gordon Hanson, Ilkay Altintas:
Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery. UCC Companion 2018: 142-147 - [e2]Srinivas Aluru, Ananth Kalyanaraman, Debajyoti Bera, Kishore Kothapalli, David Abramson, Ilkay Altintas, Sanjukta Bhowmick, Madhu Govindaraju, Smruti Ranjan Sarangi, Sushil K. Prasad, Steven Bogaerts, Vikas Saxena, Sanjay Goel:
2018 Eleventh International Conference on Contemporary Computing, IC3 2018, Noida, India, August 2-4, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-6834-4 [contents] - [i5]Alok Singh, Eric G. Stephan, Malachi Schram, Ilkay Altintas:
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows. CoRR abs/1804.06062 (2018) - [i4]Ehab Abdelmaguid, Jolene Huang, Sanjay Kenchareddy, Disha Singla, Laura Wilke, Mai H. Nguyen, Ilkay Altintas:
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning. CoRR abs/1809.06247 (2018) - [i3]Andrés García-Silva, José Manuél Gómez-Pérez, Raúl Palma, Marcin Krystek, Simone Mantovani, Federica Foglini, Valentina Grande, Francesco De Leo, Stefano Salvi, Elisa Trasatti, Vito Romaniello, Mirko Albani, Cristiano Silvagni, Rosemarie Leone, Fulvio Marelli, Sergio Albani, Michele Lazzarini, Hazel J. Napier, Helen M. Glaves, Timothy Aldridge, Charles Meertens, Fran Boler, Henry W. Loescher, Christine Laney, Melissa A. Genazzio, Daniel Crawl, Ilkay Altintas:
Enabling FAIR Research in Earth Science through Research Objects. CoRR abs/1809.10617 (2018) - [i2]Adam Rule, Amanda Birmingham, Cristal Zuñiga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, Peter W. Rose:
Ten Simple Rules for Reproducible Research in Jupyter Notebooks. CoRR abs/1810.08055 (2018) - 2017
- [j16]Sergey V. Kovalchuk, Tesfamariam M. Abuhay, Ilkay Altintas, Michael L. Norman, Michael Harold Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Data through the Computational Lens. J. Comput. Sci. 20: 81-84 (2017) - [j15]Shweta Purawat, Charles Cowart, Rommie E. Amaro, Ilkay Altintas:
Biomedical Big Data Training Collaborative (BBDTC): An effort to bridge the talent gap in biomedical science and research. J. Comput. Sci. 20: 205-214 (2017) - [c62]Mai H. Nguyen, Daniel Crawl, Jiaxin Li, Dylan Uys, Ilkay Altintas:
Automated scalable detection of location-specific Santa Ana conditions from weather data using unsupervised learning. IEEE BigData 2017: 1203-1212 - [c61]Jessica Block, Mehrdad Yazdani, Mai H. Nguyen, Daniel Crawl, Marta Jankowska, John Graham, Thomas A. DeFanti, Ilkay Altintas:
An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis. eScience 2017: 9-18 - [c60]José Manuél Gómez-Pérez, Chuck Meertens, Fran Boler, Henry Loescher, Christine Laney, Daniel Crawl, Ilkay Altintas:
Research Objects for Interworkability among Global Environmental and Geophysical Data. eScience 2017: 452-453 - [c59]Alok Singh, Eric G. Stephan, Malachi Schram, Ilkay Altintas:
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows. eScience 2017: 586-591 - [c58]Thayjes Srivas, Raymond A. de Callafon, Daniel Crawl, Ilkay Altintas:
Data Assimilation of Wildfires with Fuel Adjustment Factors in farsite using Ensemble Kalman Filtering*. ICCS 2017: 1572-1581 - [c57]Daniel Crawl, Jessica Block, Kai Lin, Ilkay Altintas:
Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment. ICCS 2017: 2230-2239 - [c56]Alok Singh, Arvind Rao, Shweta Purawat, Ilkay Altintas:
A machine learning approach for modular workflow performance prediction. WORKS@SC 2017: 7:1-7:11 - [c55]Jason Koh, Sandeep Sandha, Bharathan Balaji, Daniel Crawl, Ilkay Altintas, Rajesh K. Gupta, Mani B. Srivastava:
Data Hub Architecture for Smart Cities. SenSys 2017: 77:1-77:2 - [e1]Ilkay Altintas, Shiping Chen:
2017 IEEE International Conference on Web Services, ICWS 2017, Honolulu, HI, USA, June 25-30, 2017. IEEE 2017, ISBN 978-1-5386-0752-7 [contents] - [i1]Alok Singh, Mai H. Nguyen, Shweta Purawat, Daniel Crawl, Ilkay Altintas:
Modular Resource Centric Learning for Workflow Performance Prediction. CoRR abs/1711.05429 (2017) - 2016
- [c54]Mai H. Nguyen, Dylan Uys, Daniel Crawl, Charles Cowart, Ilkay Altintas:
A scalable approach for location-specific detection of Santa Ana conditions. IEEE BigData 2016: 1340-1345 - [c53]Alok Singh, Eric G. Stephan, Todd Elsethagen, Matt MacDuff, Bibi Raju, Malachi Schram, Kerstin Kleese van Dam, Darren J. Kerbyson, Ilkay Altintas:
Leveraging large sensor streams for robust cloud control. IEEE BigData 2016: 2115-2120 - [c52]Behnam Hedayatnia, Mehrdad Yazdani, Mai H. Nguyen, Jessica Block, Ilkay Altintas:
Determining feature extractors for unsupervised learning on satellite images. IEEE BigData 2016: 2655-2663 - [c51]Ilkay Altintas, Michael Normal, Michael Lees, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Data through the Computational Lens, Preface for ICCS 2016. ICCS 2016: 1-7 - [c50]Daniel Crawl, Alok Singh, Ilkay Altintas:
Kepler WebView: A Lightweight, Portable Framework for Constructing Real-time Web Interfaces of Scientific Workflows. ICCS 2016: 673-679 - [c49]Jianwu Wang, Moustafa AbdelBaky, Javier Diaz Montes, Shweta Purawat, Manish Parashar, Ilkay Altintas:
Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources. ICCS 2016: 700-711 - [c48]Ankit Goyal, Alok Singh, Shitij Bhargava, Daniel Crawl, Ilkay Altintas, Chun-Nan Hsu:
Natural Language Processing using Kepler Workflow System: First Steps. ICCS 2016: 712-721 - [c47]Thayjes Srivas, Tomàs Artés, Raymond A. de Callafon, Ilkay Altintas:
Wildfire Spread Prediction and Assimilation for FARSITE Using Ensemble Kalman Filtering. ICCS 2016: 897-908 - [c46]Shweta Purawat, Charles Cowart, Rommie E. Amaro, Ilkay Altintas:
Biomedical Big Data Training Collaborative (BBDTC): An Effort to Bridge the Talent Gap in Biomedical Science and Research. ICCS 2016: 1791-1800 - [c45]Mai H. Nguyen, Daniel Crawl, Tahereh Masoumi, Ilkay Altintas:
Integrated Machine Learning in the Kepler Scientific Workflow System. ICCS 2016: 2443-2448 - 2015
- [c44]