Yolanda Gil: Selected Publications

BibBase gil, y
generated by bibbase.org
  2023 (3)
Reproducibility as a Stepping Stone to Intelligent Assistants for Data Analysis: Recreating a Study of Physical Activity, Sleep, and Work Shift in Nurses. Brinkley, D. J.; Johnson, E.; Feng, T.; and Gil, Y. In Proceedings of the 28th Annual ACM Conference on Intelligent User Interfaces (IUI), 2023.
Reproducibility as a Stepping Stone to Intelligent Assistants for Data Analysis: Recreating a Study of Physical Activity, Sleep, and Work Shift in Nurses [pdf]Paper   link   bibtex  
Towards Reflection Competencies in Intelligent Systems for Science. Gil, Y. In Artificial Intelligence for Science: A Deep Learning Revolution. World Scientific, London, UK, 2023.
Towards Reflection Competencies in Intelligent Systems for Science [link]Link   Towards Reflection Competencies in Intelligent Systems for Science [pdf]Paper   link   bibtex  
A Framework for Broad Dissemination of Hydrological Models to Non-Expert Users. Schaffhauser, T.; Garijo, D.; Osorio, M.; Bittner, D.; Pierce, S.; Vargas, H.; Disse, M.; and Gil, Y. Computers and Geosciences. 2023.
link   bibtex  
  2022 (4)
Pyleoclim: Paleoclimate Timeseries Analysis and Visualization with Python. Khider, D.; Emile-Geay, J.; Zhu, F.; James, A.; Landers, J.; Ratnakar, V.; and Gil, Y. Paleoceanography and Paleoclimatology. 2022.
Pyleoclim: Paleoclimate Timeseries Analysis and Visualization with Python [link]Link   link   bibtex  
Cyberinfrastructure for collecting and integrating geology field data: Community priorities and research agenda. Mookerjee, M.; Chan, M. A.; Gil, Y.; Gill, G.; Goodwin, C.; Pavlis, T. L.; Shipley, T. F.; Swain, T.; Tikoff, B.; and Vieira, D. In Recent Advancements in Geoinformatics and Data Science: Geological Society of America Special Paper 558. Geological Society of America, 2022.
Cyberinfrastructure for collecting and integrating geology field data: Community priorities and research agenda [link]Link   link   bibtex  
Towards Capturing Scientific Reasoning to Automate Data Analysis. Gil, Y.; Khider, D.; Osorio, M.; Ratnakar, V.; Vargas, H.; Garijo, D.; and Pierce, S. In Proceedings of the 44th Annual Conference of the Cognitive Science Society (CogSci), 2022.
Towards Capturing Scientific Reasoning to Automate Data Analysis [pdf]Paper   link   bibtex  
An AI Approach to Integrating Climate, Hydrology, and Agriculture Models. Berhanu, B.; Bisrat, E.; Gil, Y.; Khider, D.; Osorio, M.; Ratnakar, V.; and Vargas, H. In Proceedings of the First International Workshop on Social Impact of AI for Africa (SIAIA), held at the 36th Annual Conference of the Association for the Advancement of Artificial Intelligence (AAAI-22), 2022.
An AI Approach to Integrating Climate, Hydrology, and Agriculture Models [pdf]Paper   link   bibtex  
  2021 (4)
Will AI Write Scientific Papers in the Future?. Gil, Y. AI Magazine, 42(4). 2021.
Will AI Write Scientific Papers in the Future? [pdf]Paper   Will AI Write Scientific Papers in the Future? [link]Link   link   bibtex  
More Computing and Less Programming: A Proposal to Broaden Participation in Data Science. Gil, Y. Harvard Data Science Review, 3(2). 2021.
More Computing and Less Programming: A Proposal to Broaden Participation in Data Science [link]Link   link   bibtex  
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. Gil, Y.; Garijo, D.; Khider, D.; Knoblock, C. A.; Ratnakar, V.; Osorio, M.; Vargas, H.; Pham, M.; Pujara, J.; Shbita, B.; Vu, B.; Chiang, Y.; Feldman, D.; Lin, Y.; Song, H.; Kumar, V.; Khandelwal, A.; Steinbach, M.; Tayal, K.; Xu, S.; Pierce, S. A.; Pearson, L.; Hardesty-Lewis, D.; Deelman, E.; da Silva, R. F.; Mayani, R.; Kemanian, A. R.; Shi, Y.; Leonard, L.; Peckham, S.; Stoica, M.; Cobourn, K.; Zhang, Z.; Duffy, C.; and Shu, L. ACM Transactions on Interactive Intelligent Systems (TiiS), 11(2). 2021.
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making [pdf]Paper   Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making [link]Link   link   bibtex  
Predicting Youth at High Risk of Aging Out of Foster Care using Machine Learning Methods. Ahn, E.; Gil, Y.; and Putnam-Horstein, E. Child Abuse and Neglect, 117. 2021.
Predicting Youth at High Risk of Aging Out of Foster Care using Machine Learning Methods [link]Link   link   bibtex  
  2020 (4)
Towards Automating Time Series Analysis for the Paleogeosciences. Khider, D.; Athreya, P.; Ratnakar, V.; Gil, Y.; Zhu, F.; Kwan, M.; and Emile-Geay, J. In Proceedings of the Sixth Workshop on Mining and Learning from Time Series (MiLeTS), held in conjunction with the 26th ACM SIGKDD Conference on Knowledge Discovery and Datamining (KDD'20), San Diego, CA, 2020.
Towards Automating Time Series Analysis for the Paleogeosciences [pdf]Paper   link   bibtex  
FAIR Computational Workflows. Carole Goble, S. C.; Stian Soiland-Reyes, D. G.; Yolanda Gil, M. R. C.; and Kristian Peters, D. S. Data Intelligence, Special Issue on FAIR (Findable, Accessible, Interoperable and Reusable) Principles, 2(1-2). 2020.
FAIR Computational Workflows [link]Link   doi   link   bibtex  
The genetic architecture of the human cerebral cortex. Grasby, K. L.; Jahanshad, N.; Painter, J. N.; Colodro-Conde, L.; Bralten, J.; Hibar, D. P.; Lind, P. A.; Pizzagalli, F.; Ching, C. R. K.; McMahon, M. A. B.; Shatokhina, N.; Zsembik, L. C. P.; Thomopoulos, S. I.; Zhu, A. H.; Strike, L. T.; Agartz, I.; Alhusaini, S.; Almeida, M. A. A.; Alnæs, D.; Amlien, I. K.; Andersson, M.; Ard, T.; Armstrong, N. J.; Ashley-Koch, A.; Atkins, J. R.; Bernard, M.; Brouwer, R. M.; Buimer, E. E. L.; Bülow, R.; Bürger, C.; Cannon, D. M.; Chakravarty, M.; Chen, Q.; Cheung, J. W.; Couvy-Duchesne, B.; Dale, A. M.; Dalvie, S.; de Araujo, T. K.; de Zubicaray, G. I.; de Zwarte, S. M. C.; den Braber, A.; Doan, N. T.; Dohm, K.; Ehrlich, S.; Engelbrecht, H.; Erk, S.; Fan, C. C.; Fedko, I. O.; Foley, S. F.; Ford, J. M.; Fukunaga, M.; Garrett, M. E.; Ge, T.; Giddaluru, S.; Goldman, A. L.; Green, M. J.; Groenewold, N. A.; Grotegerd, D.; Gurholt, T. P.; Gutman, B. A.; Hansell, N. K.; Harris, M. A.; Harrison, M. B.; Haswell, C. C.; Hauser, M.; Herms, S.; Heslenfeld, D. J.; Ho, N. F.; Hoehn, D.; Hoffmann, P.; Holleran, L.; Hoogman, M.; Hottenga, J.; Ikeda, M.; Janowitz, D.; Jansen, I. E.; Jia, T.; Jockwitz, C.; Kanai, R.; Karama, S.; Kasperaviciute, D.; Kaufmann, T.; Kelly, S.; Kikuchi, M.; Klein, M.; Knapp, M.; Knodt, A. R.; Krämer, B.; Lam, M.; Lancaster, T. M.; Lee, P. H.; Lett, T. A.; Lewis, L. B.; Lopes-Cendes, I.; Luciano, M.; Macciardi, F.; Marquand, A. F.; Mathias, S. R.; Melzer, T. R.; Milaneschi, Y.; Mirza-Schreiber, N.; Moreira, J. C. V.; Mühleisen, T. W.; Müller-Myhsok, B.; Najt, P.; Nakahara, S.; Nho, K.; Olde Loohuis, L. M.; Orfanos, D. P.; Pearson, J. F.; Pitcher, T. L.; Pütz, B.; Quidé, Y.; Ragothaman, A.; Rashid, F. M.; Reay, W. R.; Redlich, R.; Reinbold, C. S.; Repple, J.; Richard, G.; Riedel, B. C.; Risacher, S. L.; Rocha, C. S.; Mota, N. R.; Salminen, L.; Saremi, A.; Saykin, A. J.; Schlag, F.; Schmaal, L.; Schofield, P. R.; Secolin, R.; Shapland, C. Y.; Shen, L.; Shin, J.; Shumskaya, E.; Sønderby, I. E.; Sprooten, E.; Tansey, K. E.; Teumer, A.; Thalamuthu, A.; Tordesillas-Gutiérrez, D.; Turner, J. A.; Uhlmann, A.; Vallerga, C. L.; van der Meer, D.; van Donkelaar, M. M. J.; van Eijk, L.; van Erp, T. G. M.; van Haren, N. E. M.; van Rooij, D.; van Tol, M.; Veldink, J. H.; Verhoef, E.; Walton, E.; Wang, M.; Wang, Y.; Wardlaw, J. M.; Wen, W.; Westlye, L. T.; Whelan, C. D.; Witt, S. H.; Wittfeld, K.; Wolf, C.; Wolfers, T.; Wu, J. Q.; Yasuda, C. L.; Zaremba, D.; Zhang, Z.; Zwiers, M. P.; Artiges, E.; Assareh, A. A.; Ayesa-Arriola, R.; Belger, A.; Brandt, C. L.; Brown, G. G.; Cichon, S.; Curran, J. E.; Davies, G. E.; Degenhardt, F.; Dennis, M. F.; Dietsche, B.; Djurovic, S.; Doherty, C. P.; Espiritu, R.; Garijo, D.; Gil, Y.; Gowland, P. A.; Green, R. C.; Häusler, A. N.; Heindel, W.; Ho, B.; Hoffmann, W. U.; Holsboer, F.; Homuth, G.; Hosten, N.; Jack, C. R.; Jang, M.; Jansen, A.; Kimbrel, N. A.; Kolsk ̊ar, K.; Koops, S.; Krug, A.; Lim, K. O.; Luykx, J. J.; Mathalon, D. H.; Mather, K. A.; Mattay, V. S.; Matthews, S.; Mayoral Van Son, J.; McEwen, S. C.; Melle, I.; Morris, D. W.; Mueller, B. A.; Nauck, M.; Nordvik, J. E.; Nöthen, M. M.; O\textquoterightLeary, D. S.; Opel, N.; Martinot, M. P.; Pike, G. B.; Preda, A.; Quinlan, E. B.; Rasser, P. E.; Ratnakar, V.; Reppermund, S.; Steen, V. M.; Tooney, P. A.; Torres, F. R.; Veltman, D. J.; Voyvodic, J. T.; Whelan, R.; White, T.; Yamamori, H.; Adams, H. H. H.; Bis, J. C.; Debette, S.; Decarli, C.; Fornage, M.; Gudnason, V.; Hofer, E.; Ikram, M. A.; Launer, L.; Longstreth, W. T.; Lopez, O. L.; Mazoyer, B.; Mosley, T. H.; Roshchupkin, G. V.; Satizabal, C. L.; Schmidt, R.; Seshadri, S.; Yang, Q.; Alvim, M. K. M.; Ames, D.; Anderson, T. J.; Andreassen, O. A.; Arias-Vasquez, A.; Bastin, M. E.; Baune, B. T.; Beckham, J. C.; Blangero, J.; Boomsma, D. I.; Brodaty, H.; Brunner, H. G.; Buckner, R. L.; Buitelaar, J. K.; Bustillo, J. R.; Cahn, W.; Cairns, M. J.; Calhoun, V.; Carr, V. J.; Caseras, X.; Caspers, S.; Cavalleri, G. L.; Cendes, F.; Corvin, A.; Crespo-Facorro, B.; Dalrymple-Alford, J. C.; Dannlowski, U.; de Geus, E. J. C.; Deary, I. J.; Delanty, N.; Depondt, C.; Desrivières, S.; Donohoe, G.; Espeseth, T.; Fernández, G.; Fisher, S. E.; Flor, H.; Forstner, A. J.; Francks, C.; Franke, B.; Glahn, D. C.; Gollub, R. L.; Grabe, H. J.; Gruber, O.; H ̊aberg, A. K.; Hariri, A. R.; Hartman, C. A.; Hashimoto, R.; Heinz, A.; Henskens, F. A.; Hillegers, M. H. J.; Hoekstra, P. J.; Holmes, A. J.; Hong, L. E.; Hopkins, W. D.; Hulshoff Pol, H. E.; Jernigan, T. L.; Jönsson, E. G.; Kahn, R. S.; Kennedy, M. A.; Kircher, T. T. J.; Kochunov, P.; Kwok, J. B. J.; Le Hellard, S.; Loughland, C. M.; Martin, N. G.; Martinot, J.; McDonald, C.; McMahon, K. L.; Meyer-Lindenberg, A.; Michie, P. T.; Morey, R. A.; Mowry, B.; Nyberg, L.; Oosterlaan, J.; Ophoff, R. A.; Pantelis, C.; Paus, T.; Pausova, Z.; Penninx, B. W. J. H.; Polderman, T. J. C.; Posthuma, D.; Rietschel, M.; Roffman, J. L.; Rowland, L. M.; Sachdev, P. S.; Sämann, P. G.; Schall, U.; Schumann, G.; Scott, R. J.; Sim, K.; Sisodiya, S. M.; Smoller, J. W.; Sommer, I. E.; St Pourcain, B.; Stein, D. J.; Toga, A. W.; Trollor, J. N.; Van der Wee, N. J. A.; van \textquoterightt Ent, D.; Völzke, H.; Walter, H.; Weber, B.; Weinberger, D. R.; Wright, M. J.; Zhou, J.; Stein, J. L.; Thompson, P. M.; and Medland, S. E. Science, 367(6484). 2020.
The genetic architecture of the human cerebral cortex [link]Link   The genetic architecture of the human cerebral cortex [link]Paper   doi   link   bibtex  
ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries. Thompson, P. M.; Jahanshad, N.; Ching, C. R. K.; Salminen, L. E.; Thomopoulos, S. I.; Bright, J.; Baune, B. T.; Bertolín, Sara; Bralten, J.; Bruin, W. B.; Bülow, R.; Chen, J.; Chye, Y.; Dannlowski, U.; de Kovel, C. G. F.; Donohoe, G.; Eyler, L. T.; Faraone, S. V.; Favre, P.; Filippi, C. A.; Frodl, T.; Garijo, D.; Gil, Y.; Grabe, H. J.; Grasby, K. L.; Hajek, T.; Han, L. K. M.; Hatton, S. N.; Hilbert, K.; Ho, T. C.; Holleran, L.; Homuth, G.; Hosten, N.; Houenou, J.; Ivanov, I.; Jia, T.; Kelly, S.; Klein, M.; Kwon, J. S.; Laansma, M. A.; Leerssen, J.; Lueken, U.; Nunes, A.; Neill, J. O.; Opel, N.; Piras, F.; Piras, F.; Postema, M. C.; Pozzi, E.; Shatokhina, N.; Soriano-Mas, C.; Spalletta, G.; Sun, D.; Teumer, A.; Tilot, A. K.; Tozzi, L.; van der Merwe, C.; Van Someren, E. J. W.; van Wingen, G. A.; Völzke, H.; Walton, E.; Wang, L.; Winkler, A. M.; Wittfeld, K.; Wright, M. J.; Yun, J.; Zhang, G.; Zhang-James, Y.; Adhikari, B. M.; Agartz, I.; Aghajani, M.; Aleman, A.; Althoff, R. R.; Altmann, A.; Andreassen, O. A.; Baron, D. A.; Bartnik-Olson, B. L.; Marie Bas-Hoogendam, J.; Baskin-Sommers, A. R.; Bearden, C. E.; Berner, L. A.; Boedhoe, P. S. W.; Brouwer, R. M.; Buitelaar, J. K.; Caeyenberghs, K.; Cecil, C. A. M.; Cohen, R. A.; Cole, J. H.; Conrod, P. J.; De Brito, S. A.; de Zwarte, S. M. C.; Dennis, E. L.; Desrivieres, S.; Dima, D.; Ehrlich, S.; Esopenko, C.; Fairchild, G.; Fisher, S. E.; Fouche, J.; Francks, C.; Frangou, S.; Franke, B.; Garavan, H. P.; Glahn, D. C.; Groenewold, N. A.; Gurholt, T. P.; Gutman, B. A.; Hahn, T.; Harding, I. H.; Hernaus, D.; Hibar, D. P.; Hillary, F. G.; Hoogman, M.; Hulshoff Pol, H. E.; Jalbrzikowski, M.; Karkashadze, G. A.; Klapwijk, E. T.; Knickmeyer, R. C.; Kochunov, P.; Koerte, I. K.; Kong, X.; Liew, S.; Lin, A. P.; Logue, M. W.; Luders, E.; Macciardi, F.; Mackey, S.; Mayer, A. R.; McDonald, C. R.; McMahon, A. B.; Medland, S. E.; Modinos, G.; Morey, R. A.; Mueller, S. C.; Mukherjee, P.; Namazova-Baranova, L.; Nir, T. M.; Olsen, A.; Paschou, P.; Pine, D. S.; Pizzagalli, F.; Rentería, Miguel E.; Rohrer, J. D.; Sämann, P. G.; Schmaal, L.; Schumann, G.; Shiroishi, M. S.; Sisodiya, S. M.; Smit, D. J. A.; Sønderby, I. E.; Stein, D. J.; Stein, J. L.; Tahmasian, M.; Tate, D. F.; Turner, J. A.; van den Heuvel, O. A.; van der Wee, N. J. A.; van der Werf, Y. D.; van Erp, T. G. M.; van Haren, N. E. M.; van Rooij, D.; van Velzen, L. S.; Veer, I. M.; Veltman, D. J.; Villalon-Reina, J. E.; Walter, H.; Whelan, C. D.; Wilde, E. A.; Zarei, M.; Zelman, V.; and Consortium, f. t. E. Nature Translational Psychiatry, 10(1): 100. 2020.
ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries [link]Link   doi   link   bibtex  
  2019 (9)
PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data. Khider, D.; Emile-Geay, J.; McKay, N. P.; Gil, Y.; Garijo, D.; Ratnakar, V.; Alonso-Garcia, M.; Bertrand, S.; Bothe, O.; Brewer, P.; Bunn, A.; Chevalier, M.; Comas-Bru, L.; Csank, A.; Dassié, E.; DeLong, K.; Felis, T.; Francus, P.; Frappier, A.; Gray, W.; Goring, S.; Jonkers, L.; Kahle, M.; Kaufman, D.; Kehrwald, N. M.; Martrat, B.; McGregor, H.; Richey, J.; Schmittner, A.; Scroxton, N.; Sutherland, E.; Thirumalai, K.; Allen, K.; Arnaud, F.; Axford, Y.; Barrows, T.; Bazin, L.; Pilaar Birch, S. E.; Bradley, E.; Bregy, J.; Capron, E.; Cartapanis, O.; Chiang, H.; Cobb, K. M.; Debret, M.; Dommain, R.; Du, J.; Dyez, K.; Emerick, S.; Erb, M. P.; Falster, G.; Finsinger, W.; Fortier, D.; Gauthier, N.; George, S.; Grimm, E.; Hertzberg, J.; Hibbert, F.; Hillman, A.; Hobbs, W.; Huber, M.; Hughes, A. L. C.; Jaccard, S.; Ruan, J.; Kienast, M.; Konecky, B.; Le Roux, G.; Lyubchich, V.; Novello, V. F.; Olaka, L.; Partin, J. W.; Pearce, C.; Phipps, S. J.; Pignol, C.; Piotrowska, N.; Poli, M.; Prokopenko, A.; Schwanck, F.; Stepanek, C.; Swann, G. E. A.; Telford, R.; Thomas, E.; Thomas, Z.; Truebe, S.; von Gunten, L.; Waite, A.; Weitzel, N.; Wilhelm, B.; Williams, J.; Williams, J. J.; Winstrup, M.; Zhao, N.; and Zhou, Y. Paleoceanography and Paleoclimatology, 34(10). 2019.
PaCTS 1.0: A Crowdsourced Reporting Standard for Paleoclimate Data [link]Link   doi   link   bibtex  
A 20-Year Community Roadmap for Artificial Intelligence Research in the US. Gil, Y.; and Selman, B. Computing Community Consortium (CCC) and Association for the Advancement of Artificial Intelligence (AAAI) report published in arXiv. 2019.
A 20-Year Community Roadmap for Artificial Intelligence Research in the US [link]Link   link   bibtex  
Intelligent Systems for Geosciences: An Essential Research Agenda. Gil, Y.; Pierce, S.; Babaie, H.; Banerjee, A.; Borne, K.; Bust, G.; Cheatham, M.; Ebert-Uphoff, I.; Gomes, C.; Hill, M.; Horel, J.; Hsu, L.; Kinter, J.; Knoblock, C.; Krum, D.; Kumar, V.; Lermusiaux, P.; Liu, Y.; North, C.; Pankratius, V.; Peters, S.; Plale, B.; Pope, A.; Ravela, S.; Restrepo, J.; Ridley, A.; Samet, H.; Shekhar, S.; Skinner, K.; Smyth, P.; Tikoff, B.; Yarmey, L.; ; and Zhang, J. Communications of the ACM, 62. 2019.
Intelligent Systems for Geosciences: An Essential Research Agenda [link]Link   Intelligent Systems for Geosciences: An Essential Research Agenda [pdf]Paper   doi   link   bibtex  
A Personal Visual Comfort Model: Predict an Individual' s Visual Comfort Using Occupant Eye Pupil Sizes and Machine Learning. Cen, L.; Choi, J.; Yao, X.; Gil, Y.; Narayanan, S.; and Pentz, M. In Tenth International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings, IOP Conference Series in Materials Science and Engineering (609)4, Bari, Italy, 2019.
link   bibtex  
OKG-Soft: An Open Knowledge Graph with Machine Readable Scientific Software Metadata. Garijo, D.; Osorio, M.; Khider, D.; Ratnakar, V.; and Gil, Y. In Proceedings of the Fifteenth International IEEE eScience Conference, San Diego, CA, 2019.
link   bibtex  
Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees. Carrillo Garcia, J. M.; Garijo, D.; Crowley, M.; Carrillo, R.; Gil, Y.; and Borda, K. In Proceedings of the Third Workshop on Capturing Scientific Knowledge (SciKnow), held in conjunction with the 2019 ACM International Conference on Knowledge Capture (K-CAP'19), Los Angeles, CA, 2019.
Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees [pdf]Paper   link   bibtex  
Towards Automated Hypothesis Testing in Neuroscience. Garijo, D.; Fakhraei, S.; Ratnakar, V.; Yang, Q.; Endrias, H.; Ma, Y.; Wang, R.; Bornstein, M.; Bright, J.; Gil, Y.; and Jahanshad, N. In Proceedings of the Fifth Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH), held in conjunction with the 45th International Conference on Very Large Data Bases (VLDB), 2019.
Towards Automated Hypothesis Testing in Neuroscience [pdf]Paper   link   bibtex  
Towards Human-Guided Machine Learning. Gil, Y.; Honaker, J.; Gupta, S.; Ma, Y.; Orazio, V. D.; Garijo, D.; Gadewar, S.; Yang, Q.; and Jahanshad, N. In Proceedings of the 24th ACM International Conference on Intelligent User Interfaces (IUI), Marina del Rey, CA, 2019.
Towards Human-Guided Machine Learning [pdf]Paper   Towards Human-Guided Machine Learning [link]Link   doi   link   bibtex  
Semantic Workflows for Benchmark Challenges: Enhancing Comparability, Reusability and Reproducibility. Srivastava, A.; Adusumilli, R.; Boyce, H.; Garijo, D.; Ratnakar, V.; Mayani, R.; Yu, T.; Machiraju, R.; Gil, Y.; and Mallick, P. In Proceedings of the Pacific Symposium on Biocomputing (PSB), 2019.
Semantic Workflows for Benchmark Challenges: Enhancing Comparability, Reusability and Reproducibility [pdf]Paper   Semantic Workflows for Benchmark Challenges: Enhancing Comparability, Reusability and Reproducibility [pdf]Link   link   bibtex  
  2018 (9)
On Reproducible AI: Towards Reproducible Research, Open Science, and Digital Scholarship in AI Publications. Gundersen, O. E.; Gil, Y.; and Aha, D. W. AI Magazine, 39. 2018.
On Reproducible AI: Towards Reproducible Research, Open Science, and Digital Scholarship in AI Publications [link]Link   On Reproducible AI: Towards Reproducible Research, Open Science, and Digital Scholarship in AI Publications [pdf]Paper   doi   link   bibtex  
PSM-Flow: Probabilistic Subgraph Mining for Discovering Reusable Fragments in Workflows. Cheong, K.; Garijo, D.; Cheung, W. K.; and Gil, Y. In Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence (WI-18), Santiago, Chile, 2018.
PSM-Flow: Probabilistic Subgraph Mining for Discovering Reusable Fragments in Workflows [pdf]Paper   link   bibtex  
ENIGMA-ODS: A Platform for Global Neuroscience Collaborations in the ENIGMA Consortium. McMahon, A.; Garijo, D.; Espiritu, R.; Rashid, F.; Jang, M.; Patted, T.; Ratnakar, V.; Gil, Y.; Thompson, P.; and Jahanshad, N. In INCF Neuroinformatics Congress, Montreal, Canada, 2018.
link   bibtex  
LinkedEarth: Supporting Paleoclimate Data Standards and Crowd Curation. Emile-Geay, J.; Khider, D.; McKay, N. P.; Gil, Y.; Garijo, D.; and Ratnakar, V. Past Global Changes Magazine, 26. 2018.
LinkedEarth: Supporting Paleoclimate Data Standards and Crowd Curation [link]Link   doi   link   bibtex  
Semantic Software Metadata for Workflow Exploration and Evolution. Carvalho, L.; Garijo, D.; Medeiros, C. B.; and Gil, Y. In Proceedings of the Fourteenth IEEE International Conference on eScience, Amsterdam, The Netherlands, 2018.
Semantic Software Metadata for Workflow Exploration and Evolution [pdf]Paper   doi   link   bibtex  
P4ML: A Phased Performance-Based Pipeline Planner for Automated Machine Learning. Gil, Y.; Yao, K.; Ratnakar, V.; Garijo, D.; Steeg, G. V.; Szekely, P.; Brekelmans, R.; Kejriwal, M.; Luo, F.; and Huang, I. In Proceedings of Machine Learning Research, ICML 2018 AutoML Workshop, 2018.
P4ML: A Phased Performance-Based Pipeline Planner for Automated Machine Learning [pdf]Paper   link   bibtex  
MINT: Model Integration Through Knowledge-Powered Data and Process Composition. Gil, Y.; Cobourn, K.; Deelman, E.; Duffy, C.; da Silva, R. F.; Kemanian, A.; Knoblock, C.; Kumar, V.; Peckham, S.; Carvalho, L.; Chiang, Y.; Garijo, D.; Khider, D.; Khandelwal, A.; Pahm, M.; Pujara, J.; Ratnakar, V.; Stoica, M.; and Vu, B. In Proceedings of the Ninth International Congress on Environmental Modeling and Software, Ft Collins, CO, 2018.
MINT: Model Integration Through Knowledge-Powered Data and Process Composition [pdf]Paper   link   bibtex  
Towards Model Integration via Abductive Workflow Composition and Multi-Method Scalable Model Execution. da Silva, R. F.; Garijo, D.; Peckham, S. D.; Gil, Y.; Deelman, E.; and Ratnakar, V. In Proceedings of the Ninth International Congress on Environmental Modeling and Software, Ft Collins, CO, 2018.
Towards Model Integration via Abductive Workflow Composition and Multi-Method Scalable Model Execution [pdf]Paper   link   bibtex  
A Semantic Model Registry to Support Comparison and Reuse. Garijo, D.; Khider, D.; Gil, Y.; Carvalho, L.; Essawy, B.; Pierce, S.; Lewis, D. H.; Ratnakar, V.; Peckham, S. D.; Duffy, C.; and Goodall, J. In Proceedings of the Ninth International Congress on Environmental Modeling and Software, Ft Collins, CO, 2018.
link   bibtex  
  2017 (12)
Thoughtful Artificial Intelligence: Forging A New Partnership for Data Science and Scientific Discovery. Gil, Y. Data Science, 1. 2017.
Thoughtful Artificial Intelligence: Forging A New Partnership for Data Science and Scientific Discovery [pdf]Paper   Thoughtful Artificial Intelligence: Forging A New Partnership for Data Science and Scientific Discovery [link]Link   doi   link   bibtex  
The DISK Hypothesis Ontology: Capturing Hypothesis Evolution for Automated Discovery. Garijo, D.; Gil, Y.; and Ratnakar, V. In Proceedings of the Workshop on Capturing Scientific Knowledge (SciKnow), held in conjunction with the ACM International Conference on Knowledge Capture (K-CAP), Austin, Texas, 2017.
The DISK Hypothesis Ontology: Capturing Hypothesis Evolution for Automated Discovery [link]Paper   link   bibtex  
NiW: Converting Notebooks into Workflows to Capture Dataflow and Provenance. Carvalho, L. A. M. C.; Wang, R.; Gil, Y.; and Garijo, D. In Proceedings of the Workshop on Capturing Scientific Knowledge (SciKnow), held in conjunction with the ACM International Conference on Knowledge Capture (K-CAP), Austin, Texas, 2017.
NiW: Converting Notebooks into Workflows to Capture Dataflow and Provenance [link]Paper   link   bibtex  
Requirements for Supporting the Iterative Exploration of Scientific Workflow Variants. Carvalho, L. A. M. C.; Essawy, B. T.; Garijo, D.; Medeiros, C. B.; and Gil, Y. In Proceedings of the Workshop on Capturing Scientific Knowledge (SciKnow), held in conjunction with the ACM International Conference on Knowledge Capture (K-CAP), Austin, Texas, 2017.
Requirements for Supporting the Iterative Exploration of Scientific Workflow Variants [link]Paper   link   bibtex  
Improving Publication and Reproducibility of Computational Experiments through Workflow Abstractions. Gil, Y.; Garijo, D.; Knoblock, M.; Deng, A.; Adusumilli, R.; Ratnakar, V.; and Mallick, P. In Proceedings of the Workshop on Capturing Scientific Knowledge (SciKnow), held in conjunction with the ACM International Conference on Knowledge Capture (K-CAP), Austin, Texas, 2017.
Improving Publication and Reproducibility of Computational Experiments through Workflow Abstractions [pdf]Paper   link   bibtex  
A Controlled Crowdsourcing Approach to Scientific Ontology Development and Data Annotation. Gil, Y.; Garijo, D.; Ratnakar, V.; Khider, D.; Emile-Geay, J.; and McKay, N. In Proceedings of the Sixteenth International Semantic Web Conference (ISWC), Vienna, Austria, 2017.
A Controlled Crowdsourcing Approach to Scientific Ontology Development and Data Annotation [link]Link   A Controlled Crowdsourcing Approach to Scientific Ontology Development and Data Annotation [pdf]Paper   link   bibtex  
Towards Automatic Generation of Portions of Scientific Papers for Large Multi-Institutional Collaborations Based on Semantic Metadata. Jang, M.; Patted, T.; Gil, Y.; Garijo, D.; Ratnakar, V.; Ji, J.; Wang, P.; McMahon, A.; Thompson, P. M.; and Jahanshad, N. In Proceedings of the Workshop on Enabling Open Semantic Science, co-located with the Sixteenth International Semantic Web Conference (ISWC), Vienna, Austria, 2017.
Towards Automatic Generation of Portions of Scientific Papers for Large Multi-Institutional Collaborations Based on Semantic Metadata [link]Paper   Towards Automatic Generation of Portions of Scientific Papers for Large Multi-Institutional Collaborations Based on Semantic Metadata [pdf]Link   link   bibtex  
Scientific Workflows in Data Analysis: Bridging Expertise Across Multiple Domains. Sethi, R.; and Gil, Y. Future Generation Computer Systems, 75. 2017.
Scientific Workflows in Data Analysis: Bridging Expertise Across Multiple Domains [link]Link   doi   link   bibtex  
Abstract, Link, Publish, Exploit: An End to End Framework for Workflow Sharing. Garijo, D.; Gil, Y.; and Corcho, O. Future Generation Computer Systems, 75. 2017.
Abstract, Link, Publish, Exploit: An End to End Framework for Workflow Sharing [pdf]Paper   Abstract, Link, Publish, Exploit: An End to End Framework for Workflow Sharing [link]Link   doi   link   bibtex  
Evaluation of the OntoSoft Ontology for Describing Legacy Hydrologic Modeling Software. Essawy, B. T.; Goodall, J. L.; Xu, H.; and Gil, Y. Environmental Modelling & Software, 92. 2017.
Evaluation of the OntoSoft Ontology for Describing Legacy Hydrologic Modeling Software [link]Link   doi   link   bibtex  
Towards Automating Data Narratives. Gil, Y.; and Garijo, D. In Proceedings of the Twenty-Second ACM International Conference on Intelligent User Interfaces (IUI-17), Limassol, Cyprus, 2017.
Towards Automating Data Narratives [link]Paper   Towards Automating Data Narratives [link]Link   doi   link   bibtex  
Towards Continuous Scientific Data Analysis and Hypothesis Evolution. Gil, Y.; Garijo, D.; Ratnakar, V.; Mayani, R.; Adusumilli, R.; Boyce, H.; Srivastava, A.; and Mallick, P. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, 2017.
Towards Continuous Scientific Data Analysis and Hypothesis Evolution [link]Paper   Towards Continuous Scientific Data Analysis and Hypothesis Evolution [link]Link   doi   link   bibtex  
  2016 (8)
Enhancing Reproducibility for Computational Methods. Stodden, V.; McNutt, M.; Bailey, D. H.; Deelman, E.; Gil, Y.; Hanson, B.; Heroux, M. A.; Ioannidis, J. P.; and Taufer, M. Science, 354. 2016.
Enhancing Reproducibility for Computational Methods [link]Link   doi   link   bibtex  
Towards the Geoscience Paper of the Future: Best Practices for Documenting and Sharing Research from Data to Software to Provenance. Gil, Y.; David, C. H.; Demir, I.; Essawy, B. T.; Fulweiler, R. W.; Goodall, J. L.; Karlstrom, L.; Lee, H.; Mills, H. J.; Oh, J.; Pierce, S. A; Pope, A.; Tzeng, M. W.; Villamizar, S. R.; and Yu, X. Earth and Space Science, 3. 2016.
Towards the Geoscience Paper of the Future: Best Practices for Documenting and Sharing Research from Data to Software to Provenance [link]Paper   Towards the Geoscience Paper of the Future: Best Practices for Documenting and Sharing Research from Data to Software to Provenance [link]Link   doi   link   bibtex  
Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory. Yu, X.; Duffy, C.; Gil, Y.; Leonard, L.; Bhatt, G.; and Thomas, E. IEEE Systems Journal, 10. 2016.
Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory [link]Paper   Cyber-Innovated Watershed Research at the Shale Hills Critical Zone Observatory [link]Link   doi   link   bibtex  
OntoSoft: A Distributed Semantic Registry for Scientific Software. Gil, Y.; Garijo, D.; Mishra, S.; and Ratnakar, V. In Proceedings of the Twelfth IEEE Conference on eScience, Baltimore, MD, 2016.
OntoSoft: A Distributed Semantic Registry for Scientific Software [link]Link   OntoSoft: A Distributed Semantic Registry for Scientific Software [link]Paper   doi   link   bibtex  
Reproducibility in Computer Vision: Towards Open Publication of Image Analysis Experiments as Semantic Workflows. Sethi, R. J.; and Gil, Y. In Proceedings of the Twelfth IEEE Conference on eScience, Baltimore, MD, 2016.
Reproducibility in Computer Vision: Towards Open Publication of Image Analysis Experiments as Semantic Workflows [link]Link   Reproducibility in Computer Vision: Towards Open Publication of Image Analysis Experiments as Semantic Workflows [link]Paper   doi   link   bibtex  
Automated Hypothesis Testing with Large Scientific Data Repositories. Gil, Y.; Garijo, D.; Ratnakar, V.; Mayani, R.; Adusumilli, R.; Boyce, H.; and Mallick, P. In Proceedings of the Fourth Annual Conference on Advances in Cognitive Systems (ACS), Evanston, IL, 2016.
Automated Hypothesis Testing with Large Scientific Data Repositories [link]Paper   link   bibtex  
Teaching Big Data Analytics Skills with Intelligent Workflow Systems. Gil, Y. In Proceedings of the Sixth Symposium on Educational Advances in Artificial Intelligence (EAAI), colocated with the National Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Phoenix, AZ, 2016.
Teaching Big Data Analytics Skills with Intelligent Workflow Systems [link]Paper   link   bibtex  
Dynamically Generated Metadata and Replanning by Interleaving Workflow Generation and Execution. Gil, Y.; and Ratnakar, V. In Proceedings of the Tenth IEEE International Conference on Semantic Computing (ICSC), Irvine, CA, 2016.
Dynamically Generated Metadata and Replanning by Interleaving Workflow Generation and Execution [link]Link   Dynamically Generated Metadata and Replanning by Interleaving Workflow Generation and Execution [link]Paper   doi   link   bibtex  
  2015 (17)
Final Report of the 2015 NSF Workshop on Intelligent Systems for Geosciences. Gil, Y.; and Pierce, S. 2015. National Science Foundation, Arlington, VA.
Final Report of the 2015 NSF Workshop on Intelligent Systems for Geosciences [link]Paper   link   bibtex  
Field Data Management: Integrating Cyberscience and Geoscience. Mookerjee, M.; Vieira, D.; Chan, M. A.; Gil, Y.; Pavlis, T. L.; Spear, F. S.; and Tikoff, B. Earth and Space Science News, 96(20). 2015.
Field Data Management: Integrating Cyberscience and Geoscience [link]Link   doi   link   bibtex  
Open Science and Collaboration for Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) through the Organic Data Science Framework. Jahanshad, N.; Madsen, S.; Azatian, Y.; Hibar, D. P.; Thompson, P. M.; and Gil, Y. In Science of Team Science Conference (SciTS), Bethesda, MD, 2015.
Open Science and Collaboration for Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) through the Organic Data Science Framework [link]Paper   link   bibtex  
We Need to Talk: Facilitating communication between field-based geoscience and cyberinfrastructure communities. Mookerjee, M.; Vieira, D.; Chan, M. A.; Gil, Y.; Pavlis, T. L.; Spear, F. S.; and Tikoff, B. GSA Today, 25(11). 2015.
We Need to Talk: Facilitating communication between field-based geoscience and cyberinfrastructure communities [link]Link   doi   link   bibtex  
Exploring Synergies between Machine Learning and Knowledge Representation to Capture Scientific Knowledge. Ebert-Uphoff, I.; and Gil, Y. In First International Workshop on Capturing Scientific Knowledge (SciKnow), Palisades, NY, 2015.
Exploring Synergies between Machine Learning and Knowledge Representation to Capture Scientific Knowledge [link]Paper   link   bibtex  
The Geoscience Paper of the Future Initiative: Training Scientists in Best Practices of Software Sharing. Gil, Y.; Duffy, C.; Mattmann, C.; Robinson, E.; David, C.; Demir, I.; Essawy, B.; Fulweiler, R. W.; Goodall, J.; Karlstrom, L.; andHeath Mills, K. L.; Oh, J.; Pierce, S.; Pope, A.; Tzeng, M.; Venayagamoorthy, K.; Villamizar, S.; and Yu, X. In Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3), Boulder, CO, 2015.
The Geoscience Paper of the Future Initiative: Training Scientists in Best Practices of Software Sharing [link]Paper   link   bibtex  
OntoSoft: Capturing Scientific Software Metadata. Gil, Y.; Ratnakar, V.; and Garijo, D. In Proceedings of the Eighth ACM International Conference on Knowledge Capture, Palisades, NY, 2015.
OntoSoft: Capturing Scientific Software Metadata [link]Link   OntoSoft: Capturing Scientific Software Metadata [link]Paper   doi   link   bibtex  
The Provenance Bee Wiki: Tracking the Growth of Semantic Wiki Communities. Gil, Y.; Kapoor, D.; Markham, R.; and Ratnakar, V. In Proceedings of the Eighth ACM International Conference on Knowledge Capture, Palisades, NY, 2015.
The Provenance Bee Wiki: Tracking the Growth of Semantic Wiki Communities [link]Link   The Provenance Bee Wiki: Tracking the Growth of Semantic Wiki Communities [link]Paper   doi   link   bibtex  
DRAT: An Unobtrusive, Scalable Approach to Large Scale Software License Analysis. Mattmann, C. A.; Oh, J.; Palsulich, T.; McGibbney, L. J.; Gil, Y.; and Ratnakar, V. In Proceedings of the Fourth International Workshop on Software Mining, held in conjunction with the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), Lincoln, NE, 2015.
DRAT: An Unobtrusive, Scalable Approach to Large Scale Software License Analysis [link]Link   DRAT: An Unobtrusive, Scalable Approach to Large Scale Software License Analysis [link]Paper   doi   link   bibtex  
Use of Semantic Workflows to Enhance Transparency and Reproducibility in Clinical Omics. Zheng, C. L; Ratnakar, V.; Gil, Y.; and McWeeney, S. K Genome Medicine, 7(73). 2015.
Use of Semantic Workflows to Enhance Transparency and Reproducibility in Clinical Omics [link]Paper   Use of Semantic Workflows to Enhance Transparency and Reproducibility in Clinical Omics [link]Link   doi   link   bibtex  
A Task-Centered Framework for Computationally-Grounded Science Collaborations. Gil, Y.; Michel, F.; Ratnakar, V.; Hauder, M.; Duffy, C.; Dugan, H.; and Hanson, P. In Proceedings of the Eleventh IEEE International Conference on eScience, Munich, Germany, 2015.
A Task-Centered Framework for Computationally-Grounded Science Collaborations [link]Paper   link   bibtex  
A Virtual Crowdsourcing Community for Open Collaboration in Science Processes. Michel, F.; Gil, Y.; Ratnakar, V.; and Hauder, M. In Proceedings of the Americas Conference on Information Systems (AMCIS), Puerto Rico, 2015.
A Virtual Crowdsourcing Community for Open Collaboration in Science Processes [link]Paper   link   bibtex  
A Semantic, Task-Centered Collaborative Framework for Science. Gil, Y.; Michel, F.; Ratnakar, V.; and Hauder, M. In Proceedings of the Twelfth European Semantic Web Conference (ESWC), Portoroz, Slovenia, 2015.
A Semantic, Task-Centered Collaborative Framework for Science [link]Paper   link   bibtex  
Supporting Open Collaboration in Science through Explicit and Linked Semantic Description of Processes. Gil, Y.; Michel, F.; Ratnakar, V.; Read, J.; Hauder, M.; Duffy, C.; Hanson, P.; and Dugan, H. In Proceedings of the Twelfth European Semantic Web Conference (ESWC), Portoroz, Slovenia, 2015.
Supporting Open Collaboration in Science through Explicit and Linked Semantic Description of Processes [link]Paper   link   bibtex  
Human Tutorial Instruction in the Raw. Gil, Y. ACM Transactions on Interactive Intelligent Systems, 5(1). 2015.
Human Tutorial Instruction in the Raw [link]Paper   link   bibtex  
EarthCube 2015 Highlights. 2015. EarthCube Project Report EC-2015-1
EarthCube 2015 Highlights [link]Paper   link   bibtex  
Organic Data Science: A Task-Centered Interface to On-Line Collaboration in Science. Gil, Y.; Michel, F.; Ratnakar, V.; and Hauder, M. In Proceedings of the ACM International Conference on Intelligent User Interfaces, Atlanta, GA, 2015.
Organic Data Science: A Task-Centered Interface to On-Line Collaboration in Science [link]Paper   link   bibtex  
  2014 (19)
The AAAI Fall Symposium on Discovery Informatics: AI Takes a Science-Centered View on Big Data. Burns, G. A.; Gil, Y.; Villanueva-Rosales, N.; and Liu, Y. AI Magazine, 35(2). 2014.
link   bibtex  
Announcing the SIGAI Career Network and Conference. Das, S.; Epstein, S. L.; and Gil, Y. AI Matters, 1(1). 2014.
Announcing the SIGAI Career Network and Conference [pdf]Paper   Announcing the SIGAI Career Network and Conference [link]Link   link   bibtex  
Artificial Intelligence: No Longer Just for You and Me. Gil, Y. AI Matters, 1(1). 2014.
Artificial Intelligence: No Longer Just for You and Me [pdf]Paper   Artificial Intelligence: No Longer Just for You and Me [link]Link   link   bibtex  
Ten Simple Rules for Starting a Research Group. Gil, Y. AI Matters, 1(2). 2014.
Ten Simple Rules for Starting a Research Group [link]Link   Ten Simple Rules for Starting a Research Group [pdf]Paper   link   bibtex  
Open Geospatial Consortium Testbed 10 Provenance Engineering Report. Maso, J.; Closa, G.; Gil, Y.; and Pross, B. 2014. Open Geospatial Consortium (OGC) Technical Report 14-001
Open Geospatial Consortium Testbed 10 Provenance Engineering Report [link]Paper   link   bibtex  
EarthCube EC3 2014 Field Trip Report. Gil, Y. 2014. Report of the EarthCube Research Coodination Network on ' Earth-Centered Communication for Cyberinfrastructure: Challenges of field data collection, management, and integration '
EarthCube EC3 2014 Field Trip Report [link]Paper   link   bibtex  
EarthCube: Past, Present, and Future. Gil, Y.; Chan, M.; Gomez, B.; and (Eds), B. C. 2014. EarthCube Project Report EC-2014-3
EarthCube: Past, Present, and Future [link]Paper   link   bibtex  
Amplify Scientific Discovery with Artificial Intelligence. Gil, Y.; Greaves, M.; Hendler, J.; and Hirsh, H. Science, 346(6206): 171-172. 2014.
Amplify Scientific Discovery with Artificial Intelligence [link]Link   doi   link   bibtex  
Teaching Parallelism Without Programming: A Data Science Curriculum for Non-CS Students. Gil, Y. In Proceedings of the Workshop on Education for High-Performance Computing (EduHPC), held in conjunction with the IEEE ACM International Conference on High Performance Computing (SC), New Orleans, LA, 2014.
Teaching Parallelism Without Programming: A Data Science Curriculum for Non-CS Students [link]Paper   link   bibtex  
Collaborative Software Development Needs in Geosciences. Gil, Y.; Moon, E.; and Howison, J. In Proceedings of the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2), held in conjunction with the IEEE ACM International Conference on High Performance Computing (SC), New Orleans, LA, 2014.
Collaborative Software Development Needs in Geosciences [link]Paper   link   bibtex  
Towards Workflow Ecosystems Through Semantic and Standard Representations. Garijo, D.; Gil, Y.; and Corcho, O. In Proceedings of the Ninth Workshop on Workflows in Support of Large-Scale Science (WORKS), held in conjunction with the IEEE ACM International Conference on High-Performance Computing (SC), New Orleans, LA, 2014.
Towards Workflow Ecosystems Through Semantic and Standard Representations [pdf]Paper   link   bibtex  
Workflow Reuse in Practice: A Study of Neuroimaging Pipeline Users . Garijo, D.; Corcho, O.; Gil, Y.; Braskie, M. N.; Hibar, D.; Hua, X.; Jahanshad, N.; Thompson, P.; and Toga, A. W. In Proceedings of the IEEE Conference on e-Science, Guarujua, Brazil, 2014.
Workflow Reuse in Practice: A Study of Neuroimaging Pipeline Users  [link]Link   Workflow Reuse in Practice: A Study of Neuroimaging Pipeline Users  [pdf]Paper   doi   link   bibtex  
FragFlow: Automated Fragment Detection in Scientific Workflows . Garijo, D.; Corcho, O.; Gil, Y.; Gutman, B. A.; Dinov, I. D.; Thompson, P.; and Toga, A. W. In Proceedings of the IEEE Conference on e-Science, Guarujua, Brazil, 2014.
FragFlow: Automated Fragment Detection in Scientific Workflows  [link]Link   FragFlow: Automated Fragment Detection in Scientific Workflows  [pdf]Paper   doi   link   bibtex  
Intelligent Workflow Systems and Provenance-Aware Software. Gil, Y. In Proceedings of the Seventh International Congress on Environmental Modeling and Software, San Diego, CA, 2014.
Intelligent Workflow Systems and Provenance-Aware Software [link]Paper   Intelligent Workflow Systems and Provenance-Aware Software [pdf]Link   link   bibtex  
Geospatial Data Integration with Linked Data and Provenance Tracking. Harth, A.; and Gil, Y. 2014. W3C/OGC Workshop on Linking Geospatial Data
Geospatial Data Integration with Linked Data and Provenance Tracking [link]Paper   link   bibtex  
User Requirements for Geospatial Provenance. Garijo, D.; Gil, Y.; and Harth, A. 2014. Provenance Analytics, co-located with the Fifth International Provenance and Annotation Workshop (IPAW)
User Requirements for Geospatial Provenance [link]Paper   link   bibtex  
Challenges in Modeling Geospatial Provenance. Garijo, D.; Gil, Y.; and Harth, A. In Proceedings of the Fifth International Provenance and Annotation Workshop (IPAW), Cologne, Germany, 2014.
Challenges in Modeling Geospatial Provenance [link]Paper   link   bibtex  
Ten Simple Rules for the Care and Feeding of Scientific Data. Goodman, A.; Pepe, A.; Blocker, A. W.; Borgman, C. L.; Cranmer, K.; Crosas, M.; Stefano, R. D.; Gil, Y.; Groth, P.; Hedstrom, M.; Hogg, D. W.; Kashyap, V.; Mahabal, A.; Siemiginowska, A.; and Slavkovic, A. PLOS Computational Biology, 10. 2014.
Ten Simple Rules for the Care and Feeding of Scientific Data [link]Paper   Ten Simple Rules for the Care and Feeding of Scientific Data [link]Link   link   bibtex  
Similarity Assessment and Efficient Retrieval of Semantic Workflows. Bergmann, R.; and Gil, Y. Information Systems Journal, 40. 2014.
Similarity Assessment and Efficient Retrieval of Semantic Workflows [pdf]Paper   Similarity Assessment and Efficient Retrieval of Semantic Workflows [link]Link   link   bibtex  
  2013 (19)
Model Evaluation Using the NASA Regional Climate Model Evaluation System (RCMES). Mattmann, C. A.; Waliser, D.; Kim, J.; Ramirez, P.; Goodale, C.; Hart, A. F.; Loikith, P.; Lee, H.; Joyce, M.; Boustani, M.; Khudikyan, S.; Whitehall, K.; Whittell, J.; Zimdars, P.; Crichton, D.; Gil, Y.; and Cinquini, L. 2013. IEEE Earthzine
Model Evaluation Using the NASA Regional Climate Model Evaluation System (RCMES) [link]Link   link   bibtex  
Quantifying Reproducibility in Computational Biology: The Case of the Tuberculosis Drugome. Garijo, D.; Kinnings, S.; Xie, L.; Xie, L.; Zhang, Y.; Bourne, P. E.; and Gil, Y. PLOS ONE. 2013.
Quantifying Reproducibility in Computational Biology: The Case of the Tuberculosis Drugome [link]Link   link   bibtex  
Time-Bound Analytic Tasks on Large Datasets through Dynamic Configuration of Workflows. Gil, Y.; Ratnakar, V.; Verma, R.; Hart, A.; Ramirez, P.; Mattmann, C.; Sumarlidason, A.; and Park, S. L. In Proceedings of the Eighth Workshop on Workflows in Support of Large-Scale Science (WORKS), held in conjunction with SC 2013, Denver, CO, 2013.
Time-Bound Analytic Tasks on Large Datasets through Dynamic Configuration of Workflows [pdf]Paper   link   bibtex  
Capturing Data Analysis Expertise with Visualization in Workflows. Kale, D.; Di, S.; Liu, Y.; and Gil, Y. In AAAI Fall Symposium on Discovery Informatics: AI Takes a Science-Centered View on Big Data, Arlington, Virginia, 2013.
Capturing Data Analysis Expertise with Visualization in Workflows [pdf]Paper   link   bibtex  
Common Motifs in Scientific Workflows: An Empirical Analysis. Garijo, D.; Alper, P.; Belhajjame, K.; Corcho, O.; Gil, Y.; and Goble, C. Future Generation Computer Systems. 2013.
Common Motifs in Scientific Workflows: An Empirical Analysis [link]Link   link   bibtex  
Large-Scale Multimedia Content Analysis Using Scientific Workflows. Sethi, R. J.; Gil, Y.; Jo, H.; and Philpot, A. In Twenty-First ACM International Conference on Multimedia, Barcelona, Spain, 2013.
Large-Scale Multimedia Content Analysis Using Scientific Workflows [pdf]Paper   link   bibtex  
Structured Analysis of the ISI Atomic Pair Actions Dataset Using Workflows. Sethi, R. J.; Jo, H.; and Gil, Y. Pattern Recognition Letters, 34(15). 2013.
Structured Analysis of the ISI Atomic Pair Actions Dataset Using Workflows [link]Link   link   bibtex  
The Democratization of Semantic Properties: An Analysis of Semantic Wikis. Gil, Y.; Knight, A.; Zhang, K.; Zhang, L.; Ratnakar, V.; and Sethi, R. In Seventh IEEE International Conference on Semantic Computing (ICSC), Irvine, CA, 2013.
The Democratization of Semantic Properties: An Analysis of Semantic Wikis [pdf]Paper   link   bibtex  
Mapping Semantic Workflows to Alternative Workflow Execution Engines. Gil, Y. In Seventh IEEE International Conference on Semantic Computing (ICSC), Irvine, CA, 2013.
Mapping Semantic Workflows to Alternative Workflow Execution Engines [pdf]Paper   link   bibtex  
Knowledge Capture in the Wild: A Perspective from Semantic Wiki Communities. Gil, Y.; and Ratnakar, V. In Seventh ACM International Conference on Knowledge Capture (K-CAP), Banff, Canada, 2013.
Knowledge Capture in the Wild: A Perspective from Semantic Wiki Communities [pdf]Paper   link   bibtex  
Detecting Common Scientific Workflow Fragments Using Templates and Execution Provenance. Garijo, D.; Corcho, O.; and Gil, Y. In Seventh ACM International Conference on Knowledge Capture (K-CAP), Banff, Canada, 2013.
Detecting Common Scientific Workflow Fragments Using Templates and Execution Provenance [pdf]Paper   link   bibtex  
Social Knowledge Collection. Gil, Y. In Handbook of Human Computation. Springer, 2013.
Social Knowledge Collection [pdf]Paper   Social Knowledge Collection [link]Link   link   bibtex  
Using Semantic Workflows to Disseminate Best Practices and Accelerate Discoveries in Multi-Omic Data Analysis. Gil, Y.; McWeeney, S.; and Mason, C. E. In AAAI Workshop on Expanding the Boundaries of Health Informatics using AI (HIAI), held in conjunction with the Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Bellevue, WA, 2013.
Using Semantic Workflows to Disseminate Best Practices and Accelerate Discoveries in Multi-Omic Data Analysis [pdf]Paper   link   bibtex  
Intelligent Assistance to Disseminate Best Practices and Accelerate Discoveries in Cancer Omics. Gil, Y.; Mason, C. E.; Zheng, C.; and McWeeney, S. 2013. 2013 NCI EDRN Cancer Biomarkers Bioinformatics Workshop, Pasadena, CA
Intelligent Assistance to Disseminate Best Practices and Accelerate Discoveries in Cancer Omics [pdf]Paper   link   bibtex  
Towards Task-Centered Network Models through Semantic Workflows. Gil, Y. In Proceedings of the IEEE Conference on Intelligence and Security Informatics (ISI), Seattle, WA, 2013.
Towards Task-Centered Network Models through Semantic Workflows [pdf]Paper   link   bibtex  
An Initial Analysis of Semantic Wikis. Gil, Y.; Knight, A.; Zhang, K.; Zhang, L.; and Sethi, R. In Proceedings of the ACM International Conference on Intelligent User Interfaces (IUI), Santa Monica, CA, 2013.
An Initial Analysis of Semantic Wikis [link]Paper   link   bibtex  
The AAAI Fall Symposium on "Discovery Informatics: The Role of AI Research in Innovating Scientific Processes. Gil, Y.; and Hirsh, H. AI Magazine, 34(1). 2013.
The AAAI Fall Symposium on "Discovery Informatics: The Role of AI Research in Innovating Scientific Processes [pdf]Paper   link   bibtex  
A Primer for the PROV Provenance Model. Gil, Y.; Miles, S.; Belhajjame, K.; Deus, H.; Garijo, D.; Klyne, G.; Missier, P.; Soiland-Reyes, S.; and Zednik, S. 2013. World Wide Web Consortium (W3C)
A Primer for the PROV Provenance Model [link]Paper   link   bibtex  
PROV-DM: The PROV Data Model. Moreau, L.; Missier, P.; Belhajjame, K.; Far, R. B.; Cheney, J.; Coppens, S.; Cresswell, S.; Gil, Y.; Groth, P.; Klyne, G.; Lebo, T.; McCusker, J.; Miles, S.; Myers, J.; Sahoo, S.; and Tilmes, C. 2013. World Wide Web Consortium (W3C)
PROV-DM: The PROV Data Model [link]Paper   link   bibtex  
  2012 (14)
Scientific Workflows: The Key to Convergence?. McCann, M. P.; Hofmann, A. F.; Harmon, T. C.; and Gil, Y. 2012. Ocean Sciences Meeting, Salt Lake City, Utah
link   bibtex  
Designing a Roadmap for Workflow Cyberinfrastructure in the Geosciences: From Big Data to the Long Tail. Gil, Y.; Deelman, E.; Demir, I.; Duffy, C.; Pierce, M.; Marru, S.; and Wiener, G. 2012. American Geophysical Union Fall Meeting, San Francisco, CA
link   bibtex  
Using Semantic Workflows for Genome-Scale Analysis. Gil, Y.; Ratnakar, V.; Deelman, E.; and Mason, C. 2012. International Conference on Intelligent Systems for Molecular Biology (ISMB), Long Beach, CA
link   bibtex  
Designing a Roadmap for Geoscience Workflows. Duffy, C.; Gil, Y.; Deelman, E.; Marru, S.; Pierce, M.; Demir, I.; and Wiener, G. Eos Transactions of the American Geophysical Union, 93(24). 2012.
Designing a Roadmap for Geoscience Workflows [link]Paper   link   bibtex  
EarthCube Report on a Workflows Roadmap for the Geosciences. Deelman, E.; Duffy, C.; Gil, Y.; Marru, S.; Pierce, M.; and Wiener, G. 2012. National Science Foundation, Arlington, VA.
EarthCube Report on a Workflows Roadmap for the Geosciences [link]Paper   EarthCube Report on a Workflows Roadmap for the Geosciences [link]Link   link   bibtex  
Final Report of the 2012 NSF Workshop on Discovery Informatics. Gil, Y.; and Hirsh, H. 2012. National Science Foundation, Arlington, VA.
Final Report of the 2012 NSF Workshop on Discovery Informatics [link]Paper   Final Report of the 2012 NSF Workshop on Discovery Informatics [link]Link   link   bibtex  
Reusing Workflow Fragments Across Multiple Data Domains. Sethi, R. J.; Jo, H.; and Gil, Y. In Proceedings of the Seventh Workshop on Workflows in Support of Large-Scale Science (WORKS-12), held in conjunction with SC 2012, Salt Lake City, Utah, 2012.
Reusing Workflow Fragments Across Multiple Data Domains [link]Paper   link   bibtex  
Augmenting PROV with Plans in P-PLAN: Scientific Processes as Linked Data. Garijo, D.; and Gil, Y. In Second International Workshop on Linked Science: Tackling Big Data (LISC), held in conjunction with the International Semantic Web Conference (ISWC), Boston, MA, 2012.
Augmenting PROV with Plans in P-PLAN: Scientific Processes as Linked Data [pdf]Paper   link   bibtex  
Organic Data Sharing: A Novel Approach to Scientific Data Sharing. Gil, Y.; Ratnakar, V.; and Hanson, P. In Second International Workshop on Linked Science: Tackling Big Data (LISC), held in conjunction with the International Semantic Web Conference (ISWC), Boston, MA, 2012.
Organic Data Sharing: A Novel Approach to Scientific Data Sharing [pdf]Paper   link   bibtex  
Discovery Informatics: AI Opportunities in Scientific Discovery. Gil, Y.; and Hirsh, H. In AAAI Fall Symposium on Discovery Informatics: The Role of AI Research in Innovating Scientific Processes, Arlington, Virginia, 2012.
Discovery Informatics: AI Opportunities in Scientific Discovery [pdf]Paper   link   bibtex