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ORCIDRosario Uceda-Sosa
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2020 – today
- 2024
[c19]Maria Chang, Achille Fokoue, Rosario Uceda-Sosa, Parul Awasthy, Ken Barker, Sadhana Kumaravel, Oktie Hassanzadeh
, Elton F. S. Soares, Tian Gao, Debarun Bhattacharjya, Radu Florian, Salim Roukos:
CHRONOS: A Schema-Based Event Understanding and Prediction System. AAAI 2024: 22871-22877- [i6]Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney:
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR abs/2403.09704 (2024) - [i5]Rosario Uceda-Sosa, Karthikeyan Natesan Ramamurthy, Maria Chang, Moninder Singh:
Reasoning about concepts with LLMs: Inconsistencies abound. CoRR abs/2405.20163 (2024) - 2023
- [c18]Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray:
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. ACL (1) 2023: 6764-6776 - [c17]Marcelo Machado, Guilherme Lima, Elton F. S. Soares, Rosario Uceda-Sosa, Renato Cerqueira:
Enabling Live SPARQL Queries over ConceptNet Using Triple Pattern Fragments. ESWC 2023: 661-678 - [c16]Guilherme Lima, Alexandre Rademaker, Rosario Uceda-Sosa:
ULKB Logic: A HOL-Based Framework for Reasoning over Knowledge Graphs. SBMF 2023: 55-71 - [i4]Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray:
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning. CoRR abs/2307.02689 (2023) - 2022
- [c15]Rosario Uceda-Sosa, Nandana Mihindukulasooriya, Atul Kumar, Sahil Bansal, Seema Nagar:
Domain specific ontologies from Linked Open Data (LOD). COMAD/CODS 2022: 105-109 - [c14]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases. EMNLP (Findings) 2022: 3866-3879 - [i3]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
A Benchmark for Generalizable and Interpretable Temporal Question Answering over Knowledge Bases. CoRR abs/2201.05793 (2022) - 2021
- [c13]Ruixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma, Rosario Uceda-Sosa:
STONE: Signal Temporal Logic Neural Network for Time Series Classification. ICDM (Workshops) 2021: 778-787 - [c12]Guilherme Lima, Marcelo Machado, Rosario Uceda-Sosa, Márcio Ferreira Moreno:
Practical Rule-Based Qualitative Temporal Reasoning for the Semantic Web. RuleML+RR 2021: 188-202 - [i2]Sumit Neelam, Udit Sharma, Hima Karanam, Shajith Ikbal, Pavan Kapanipathi, Ibrahim Abdelaziz, Nandana Mihindukulasooriya, Young-Suk Lee, Santosh K. Srivastava, Cezar Pendus, Saswati Dana, Dinesh Garg, Achille Fokoue, G. P. Shrivatsa Bhargav, Dinesh Khandelwal, Srinivas Ravishankar, Sairam Gurajada, Maria Chang, Rosario Uceda-Sosa, Salim Roukos, Alexander G. Gray, Guilherme Lima, Ryan Riegel, Francois P. S. Luus, L. Venkata Subramaniam:
SYGMA: System for Generalizable Modular Question Answering OverKnowledge Bases. CoRR abs/2109.13430 (2021) - 2020
- [c11]Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, J. Scott McCarley, Mike McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John F. Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avirup Sil, Rosario Uceda-Sosa, Todd Ward, Rong Zhang:
The TechQA Dataset. ACL 2020: 1269-1278
2010 – 2019
- 2019
- [i1]Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, J. Scott McCarley, Mike McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John F. Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avirup Sil, Rosario Uceda-Sosa, Todd Ward, Rong Zhang:
The TechQA Dataset. CoRR abs/1911.02984 (2019) - 2017
- [c10]Mustafa Canim, Cristina Cornelio, Robert Farrell, Achille Fokoue, Kyle Yingkai Gao, John A. Gunnels, Arun Iyengar, Ryan Musa, Mariano Rodriguez-Muro, Rosario Uceda-Sosa:
A knowledge and reasoning toolkit for cognitive applications. HotWeb 2017: 13:1-13:10 - 2016
- [c9]Michele Merler, Hui Wu, Rosario Uceda-Sosa, Quoc-Bao Nguyen, John R. Smith:
Snap, Eat, RepEat: A Food Recognition Engine for Dietary Logging. MADiMa @ ACM Multimedia 2016: 31-40 - [c8]Hui Wu, Michele Merler, Rosario Uceda-Sosa, John R. Smith:
Learning to Make Better Mistakes: Semantics-aware Visual Food Recognition. ACM Multimedia 2016: 172-176 - 2015
- [j2]Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang:
Reports of the AAAI 2014 Conference Workshops. AI Mag. 36(1): 87-98 (2015) - [j1]John R. Smith, Liangliang Cao, Noel C. F. Codella, Matthew L. Hill, Michele Merler, Quoc-Bao Nguyen, E. Pring, Rosario A. Uceda-Sosa:
Massive-scale learning of image and video semantic concepts. IBM J. Res. Dev. 59(2/3) (2015) - [c7]Berta Cormenzana, Maria-Cristina V. Marinescu, Mónica Marrero, Sergio Mendoza, Salvador Rueda, Rosario Uceda-Sosa:
Models for sustainability. ISC2 2015: 1-6 - 2014
- [c6]Kalapriya Kannan, Biplav Srivastava, Rosario Uceda-Sosa, Robert J. Schloss, Xiao Liu:
SemEnAl: Using Semantics for Accelerating Environmental Analytical Model Discovery. BDA 2014: 95-113
2000 – 2009
- 2006
- [c5]Leiguang Gong, Tim Klinger, Paul Matchen, Peri L. Tarr, Rosario Uceda-Sosa, Annie T. T. Ying, Jian Xu, Xin Zhou:
Integrated solution engineering. OOPSLA Companion 2006: 726-727 - 2004
- [c4]Michelle X. Zhou, Keith Houck, Rosario Uceda-Sosa, Shimei Pan, Min Chen, Vikram Aggarwal, James Shaw:
Responsive Information Architect: A Context-Sensitive Multimedia Conversation Framework for Information Seeking. AAAI 2004: 1044-1045 - [c3]Anuradha Gali, Cindy X. Chen, Kajal T. Claypool, Rosario Uceda-Sosa:
From Ontology to Relational Databases. ER (Workshops) 2004: 278-289 - [c2]Rosario Uceda-Sosa, Cindy X. Chen, Kajal T. Claypool:
CLOVE: A Framework to Design Ontology Views. ER 2004: 844-849
1990 – 1999
- 1995
- [b1]Rosario Uceda-Sosa:
A modular approach to observational equivalences. University of Michigan, USA, 1995 - 1993
- [c1]Kevin J. Compton, Rosario Uceda-Sosa:
The Model Theory of Concurrency. CSL 1993: 78-90
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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