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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)- [c103]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 - [c102]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 - [c101]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 - [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]Jianwu Wang, Daniel Crawl, Shweta Purawat, Mai H. Nguyen, Ilkay Altintas:
Big data provenance: Challenges, state of the art and opportunities. IEEE BigData 2015: 2509-2516 - [c43]Ilkay Altintas, Jessica Block, Raymond A. de Callafon, Daniel Crawl, Charles Cowart, Amarnath Gupta, Mai H. Nguyen, Hans-Werner Braun, Jürgen P. Schulze, Michael Gollner, Arnaud Trouve, Larry Smarr:
Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires. ICCS 2015: 1633-1642 - [c42]Yu Qian, Hyunsoo Kim, Shweta Purawat, Jianwu Wang, Rick Stanton, Alexandra Lee, Weijia Xu, Ilkay Altintas, Robert S. Sinkovits, Richard H. Scheuermann:
FlowGate: towards extensible and scalable web-based flow cytometry data analysis. XSEDE 2015: 5:1-5:8 - 2014
- [j14]Zhuohui Gan, Jianwu Wang, Nathan Salomonis, Jennifer C. Stowe, Gabriel G. Haddad, Andrew D. McCulloch, Ilkay Altintas, Alexander C. Zambon:
MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data. BMC Bioinform. 15: 69 (2014) - [j13]Jianwu Wang, Daniel Crawl, Ilkay Altintas, Weizhong Li:
Big Data Applications Using Workflows for Data Parallel Computing. Comput. Sci. Eng. 16(4): 11-21 (2014) - [c41]Jianwu Wang, Yan Tang, Mai H. Nguyen, Ilkay Altintas:
A Scalable Data Science Workflow Approach for Big Data Bayesian Network Learning. BDC 2014: 16-25 - [c40]Jianwu Wang, Prakashan Korambath, Ilkay Altintas, Jim Davis, Daniel Crawl:
Workflow as a Service in the Cloud: Architecture and Scheduling Algorithms. ICCS 2014: 546-556 - [c39]Pek U. Ieong, Jesper Sørensen, Prasantha L. Vemu, Celia W. Wong, Özlem Demir, Nadya P. Williams, Jianwu Wang, Daniel Crawl, Robert V. Swift, Robert D. Malmstrom, Ilkay Altintas, Rommie E. Amaro:
Progress towards Automated Kepler Scientific Workflows for Computer-aided Drug Discovery and Molecular Simulations. ICCS 2014: 1745-1755 - [c38]Zhuohui Gan, Jennifer C. Stowe, Ilkay Altintas, Andrew D. McCulloch, Alexander C. Zambon:
Using Kepler for Tool Integration in Microarray Analysis Workflows. ICCS 2014: 2162-2167 - [c37]Ruijuan Chen, Xiaohua Wan, Ilkay Altintas, Jianwu Wang, Daniel Crawl, Sebastien Phan, Albert F. Lawrence, Mark H. Ellisman:
EPiK-a Workflow for Electron Tomography in Kepler. ICCS 2014: 2295-2305 - [c36]Wanghu Chen, Ilkay Altintas, Jianwu Wang, Jing Li:
Enhancing Smart Re-run of Kepler Scientific Workflows Based on Near Optimum Provenance Caching in Cloud. SERVICES 2014: 378-384 - 2013
- [j12]Marcin Plóciennik, Tomasz Zok, Ilkay Altintas, Jianwu Wang, Daniel Crawl, David Abramson, Frederic Imbeaux, Bernard Guillerminet, Marcos López-Caniego, Isabel Campos Plasencia, Wojciech Pych, Pawel Ciecielag, Bartek Palak, Michal Owsiak, Yann Frauel:
Approaches to Distributed Execution of Scientific Workflows in Kepler. Fundam. Informaticae 128(3): 281-302 (2013) - [c35]Ilkay Altintas:
Workflow-driven programming paradigms for distributed analysis of biological big data. ICCABS 2013: 1 - 2012
- [j11]Paolo Missier, Bertram Ludäscher, Saumen C. Dey, Michael Wang, Timothy M. McPhillips, Shawn Bowers, Michael Agun, Ilkay Altintas:
Golden Trail: Retrieving the Data History that Matters from a Comprehensive Provenance Repository. Int. J. Digit. Curation 7(1): 139-150 (2012) - [c34]Ilkay Altintas, Jianwu Wang, Daniel Crawl, Weizhong Li:
Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper. EDBT/ICDT Workshops 2012: 73-78 - [c33]Zhuohui Gan, Jianwu Wang, Nathan Salomonis, Ilkay Altintas, Andrew D. McCulloch, Alexander C. Zambon:
MAAMD: A Workflow to Standardize Meta-Analyses of Affymetrix Microarray Data. HISB 2012: 120 - [c32]Jianwu Wang, Daniel Crawl, Ilkay Altintas:
A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System. ICCS 2012: 1620-1629 - [c31]Jianwu Wang, Ilkay Altintas:
Early Cloud Experiences with the Kepler Scientific Workflow System. ICCS 2012: 1630-1634 - 2011
- [j10]Ilkay Altintas, Manish Kumar Anand, Trung N. Vuong, Shawn Bowers, Bertram Ludäscher, Peter M. A. Sloot:
A Data Model for Analyzing User Collaborations in Workflow-Driven e-Science. Int. J. Comput. Their Appl. 18(3): 160-179 (2011) - [j9]Shulei Sun, Jing Chen, Weizhong Li, Ilkay Altintas, Abel W. Lin, Steven Peltier, Karen I. Stocks, Eric E. Allen, Mark H. Ellisman, Jeffrey S. Grethe, John C. Wooley:
Community cyberinfrastructure for Advanced Microbial Ecology Research and Analysis: the CAMERA resource. Nucleic Acids Res. 39(Database-Issue): 546-551 (2011) - [c30]Daniel Crawl, Jianwu Wang, Ilkay Altintas:
Provenance for MapReduce-based data-intensive workflows. WORKS@SC 2011: 21-30 - [c29]Jianwu Wang, Prakashan Korambath, Ilkay Altintas:
A Physical and Virtual Compute Cluster Resource Load Balancing Approach to Data-Parallel Scientific Workflow Scheduling. SERVICES 2011: 212-215 - [p3]Abel W. Lin, Ilkay Altintas, Chris Churas, Madhusudan Gujral, Jeffrey S. Grethe, Mark H. Ellisman:
Case Study on the Use of REST Architectural Principles for Scientific Analysis: CAMERA - Community Cyberinfrastructure for Advanced Microbial Ecology Research and Analysis. REST: From Research to Practice 2011: 319-338 - [p2]Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. Johnson, Kejian Jin, Daniel Crawl, Ilkay Altintas, Shava Smallen, Bill Labate, Kendall N. Houk:
Facilitating e-Science Discovery Using Scientific Workflows on the Grid. Guide to e-Science 2011: 353-382 - 2010
- [j8]Derik Barseghian, Ilkay Altintas, Matthew B. Jones, Daniel Crawl, Nathan Potter, James Gallagher, Peter C. Cornillon, Mark Schildhauer, Elizabeth T. Borer, Eric W. Seabloom, Parviez R. Hosseini:
Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis. Ecol. Informatics 5(1): 42-50 (2010) - [c28]Aisa Na'im, Daniel Crawl, Maria Indrawan, Ilkay Altintas, Shulei Sun:
Monitoring data quality in Kepler. HPDC 2010: 560-564 - [c27]Manish Kumar Anand, Shawn Bowers, Ilkay Altintas, Bertram Ludäscher:
Approaches for Exploring and Querying Scientific Workflow Provenance Graphs. IPAW 2010: 17-26 - [c26]Ilkay Altintas, Manish Kumar Anand, Daniel Crawl, Shawn Bowers, Adam Belloum, Paolo Missier, Bertram Ludäscher, Carole A. Goble, Peter M. A. Sloot:
Understanding Collaborative Studies through Interoperable Workflow Provenance. IPAW 2010: 42-58 - [c25]Ustun Yildiz, Pierre Mouallem, Mladen A. Vouk, Daniel Crawl, Ilkay Altintas:
Fault-Tolerance in Dataflow-Based Scientific Workflow Management. SERVICES 2010: 336-343 - [c24]Ilkay Altintas, Abel W. Lin, Jing Chen, Chris Churas, Madhusudan Gujral, Shulei Sun, Weizhong Li, Ramil Manansala, Mayya Sedova, Jeffrey S. Grethe, Mark H. Ellisman:
CAMERA 2.0: A Data-centric Metagenomics Community Infrastructure Driven by Scientific Workflows. SERVICES 2010: 352-359 - [c23]Pierre Mouallem, Daniel Crawl, Ilkay Altintas, Mladen A. Vouk, Ustun Yildiz:
A Fault-Tolerance Architecture for Kepler-Based Distributed Scientific Workflows. SSDBM 2010: 452-460 - [c22]Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. Johnson, Kejian Jin, Daniel Crawl, Ilkay Altintas, Shava Smallen, Bill Labate, Kendall N. Houk:
Theoretical enzyme design using the Kepler scientific workflows on the Grid. ICCS 2010: 1175-1184
2000 – 2009
- 2009
- [j7]Antoon Goderis, Christopher X. Brooks, Ilkay Altintas, Edward A. Lee, Carole A. Goble:
Heterogeneous composition of models of computation. Future Gener. Comput. Syst. 25(5): 552-560 (2009) - [c21]Jianwu Wang, Daniel Crawl, Ilkay Altintas:
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems. SC-WORKS 2009 - [c20]Jianwu Wang, Ilkay Altintas, Parviez R. Hosseini, Derik Barseghian, Daniel Crawl, Chad Berkley, Matthew B. Jones:
Accelerating Parameter Sweep Workflows by Utilizing Ad-hoc Network Computing Resources: An Ecological Example. SERVICES I 2009: 267-274 - [p1]Bertram Ludäscher, Ilkay Altintas, Shawn Bowers, Julian Cummings, Terence Critchlow, Ewa Deelman, David De Roure, Juliana Freire, Carole A. Goble, Matthew B. Jones, Scott Klasky, Timothy M. McPhillips, Norbert Podhorszki, Cláudio T. Silva, Ian J. Taylor, Mladen A. Vouk:
Scientific Process Automation and Workflow Management. Scientific Data Management 2009 - 2008
- [j6]Luc Moreau, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven P. Callahan, George Chin Jr., Ben Clifford, Shirley Cohen, Sarah Cohen Boulakia, Susan B. Davidson, Ewa Deelman, Luciano A. Digiampietri, Ian T. Foster, Juliana Freire, James Frew, Joe Futrelle, Tara Gibson, Yolanda Gil, Carole A. Goble, Jennifer Golbeck, Paul Groth, David A. Holland, Sheng Jiang, Jihie Kim, David Koop, Ales Krenek, Timothy M. McPhillips, Gaurang Mehta, Simon Miles, Dominic Metzger, Steve Munroe, Jim Myers, Beth Plale, Norbert Podhorszki, Varun Ratnakar, Emanuele Santos, Carlos Eduardo Scheidegger, Karen Schuchardt, Margo I. Seltzer, Yogesh L. Simmhan, Cláudio T. Silva, Peter Slaughter, Eric G. Stephan, Robert Stevens, Daniele Turi, Huy T. Vo, Michael Wilde, Jun Zhao, Yong Zhao:
Special Issue: The First Provenance Challenge. Concurr. Comput. Pract. Exp. 20(5): 409-418 (2008) - [j5]Bertram Ludäscher, Norbert Podhorszki, Ilkay Altintas, Shawn Bowers, Timothy M. McPhillips:
From computation models to models of provenance: the RWS approach. Concurr. Comput. Pract. Exp. 20(5): 507-518 (2008) - [c19]Jianwu Wang, Ilkay Altintas, Chad Berkley, Lucas Gilbert, Matthew B. Jones:
A High-Level Distributed Execution Framework for Scientific Workflows. eScience 2008: 634-639 - [c18]Daniel Crawl, Ilkay Altintas:
A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows. IPAW 2008: 152-159 - [c17]David Abramson, Colin Enticott, Ilkay Altintas:
Nimrod/K: towards massively parallel dynamic grid workflows. SC 2008: 24 - [c16]Ilkay Altintas:
Lifecycle of Scientific Workflows and their Provenance: A Usage Perspective. SERVICES I 2008: 474-475 - 2007
- [c15]Antoon Goderis, Christopher X. Brooks, Ilkay Altintas, Edward A. Lee, Carole A. Goble:
Composing Different Models of Computation in Kepler and Ptolemy II. International Conference on Computational Science (3) 2007: 182-190 - 2006
- [j4]Peter M. A. Sloot, Alfredo Tirado-Ramos, Ilkay Altintas, Marian Bubak, Charles A. Boucher:
From Molecule to Man: Decision Support in Individualized E-Health. Computer 39(11): 40-46 (2006) - [j3]Bertram Ludäscher, Ilkay Altintas, Chad Berkley, Dan Higgins, Efrat Jaeger, Matthew B. Jones, Edward A. Lee, Jing Tao, Yang Zhao:
Scientific workflow management and the Kepler system. Concurr. Comput. Pract. Exp. 18(10): 1039-1065 (2006) - [j2]Efrat Jaeger-Frank, Christopher J. Crosby, Ashraf Memon, Viswanath Nandigam, Jeffery Conner, J. Ramon Arrowsmith, Ilkay Altintas, Chaitan Baru:
A three tier architecture applied to LiDAR processing and monitoring. Sci. Program. 14(3-4): 185-194 (2006) - [c14]Jianting Zhang, Ilkay Altintas, Jing Tao, Xianhua Liu, Deana Pennington, William Michener:
Integrating Data Grid and Web Services for E-Science Applications: A Case Study of Exploring Species Distributions. e-Science 2006: 31 - [c13]Wibke Sudholt, Ilkay Altintas, Kim K. Baldridge:
Scientific Workflow Infrastructure for Computational Chemistry on the Grid. International Conference on Computational Science (3) 2006: 69-76 - [c12]Efrat Jaeger-Frank, Christopher J. Crosby, Ashraf Memon, Viswanath Nandigam, J. Ramon Arrowsmith, Jeffery Conner, Ilkay Altintas, Chaitan Baru:
A Three Tier Architecture for LiDAR Interpolation and Analysis. International Conference on Computational Science (3) 2006: 920-927 - [c11]Mladen A. Vouk, Ilkay Altintas, Roselyne Barreto, J. Blondin, Zhengang Cheng, Terence Critchlow, Ayla Khan, Scott Klasky, J. Ligon, Bertram Ludäscher, Pierre Mouallem, Steven G. Parker, Norbert Podhorszki, Arie Shoshani, Cláudio T. Silva:
Automation of Network-Based Scientific Workflows. Grid-Based Problem Solving Environments 2006: 35-61 - [c10]Ilkay Altintas, Oscar Barney, Efrat Jaeger-Frank:
Provenance Collection Support in the Kepler Scientific Workflow System. IPAW 2006: 118-132 - [c9]Ilkay Altintas, Bertram Ludäscher, Scott Klasky, Mladen A. Vouk:
S04 - Introduction to scientific workflow management and the Kepler system. SC 2006: 205 - 2005
- [j1]Kim K. Baldridge, Jerry P. Greenberg, Wibke Sudholt, Stephen Mock, Ilkay Altintas, Céline Amoreira, Yohann Potier, Adam Birnbaum, Karan Bhatia, Michela Taufer:
The Computational Chemistry Prototyping Environment. Proc. IEEE 93(3): 510-521 (2005) - [c8]David Abramson, Jagan Kommineni, Ilkay Altintas:
Flexible IO Services in the Kepler Grid Workflow System. e-Science 2005: 255-262 - [c7]Efrat Jaeger, Ilkay Altintas, Jianting Zhang, Bertram Ludäscher, Deana Pennington, William Michener:
A Scientific Workflow Approach to Distributed Geospatial Data Processing using Web Services. SSDBM 2005: 87-90 - 2004
- [c6]Ilkay Altintas, Efrat Jaeger, Kai Lin, Bertram Ludäscher, Ashraf Memon:
A Web Service Composition and Deployment Framework for Scientific Workflows. ICWS 2004: 814- - [c5]Ilkay Altintas, Adam Birnbaum, Kim K. Baldridge, Wibke Sudholt, Mark A. Miller, Céline Amoreira, Yohann Potier, Bertram Ludäscher:
A Framework for the Design and Reuse of Grid Workflows. SAG 2004: 120-133 - [c4]Ilkay Altintas, Chad Berkley, Efrat Jaeger, Matthew B. Jones, Bertram Ludäscher, Steve Mock:
Kepler: An Extensible System for Design and Execution of Scientific Workflows. SSDBM 2004: 423-424 - 2003
- [c3]Ilkay Altintas, Sangeeta Bhagwanani, David Buttler, Sandeep Chandra, Zhengang Cheng, Matthew Coleman, Terence Critchlow, Amarnath Gupta, Wei Han, Ling Liu, Bertram Ludäscher, Calton Pu, Reagan W. Moore, Arie Shoshani, Mladen A. Vouk:
A Modeling and Execution Environment for Distributed Scientific Workflows. SSDBM 2003: 247-250 - [c2]Bertram Ludäscher, Ilkay Altintas, Amarnath Gupta:
Compiling Abstract Scientific Workflows into Web Service Workflows. SSDBM 2003: 251-254 - 2002
- [c1]Bertram Ludäscher, Ilkay Altintas, Amarnath Gupta:
Time to Leave the Trees: From Syntactic to Conceptual Querying of XML. EDBT Workshops 2002: 148-168
Coauthor Index
[c103] [c102] [i17] [j28] [c97] [c95] [c94] [j26] [c90] [c87] [i14] [c83] [c75] [j22] [c72] [c70] [c68] [i8] [i7] [c66] [c63] [i3] [c62] [c61] [c60] [c58] [c57] [c55] [i1] [c54] [c50] [c48] [c45] [c44] [c43] [j13] [c40] [c39] [c37] [j12] [c34] [c32] [c30] [p2] [j8] [c28] [c26] [c25] [c23] [c22] [c21] [c20] [c18]
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