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ORCIDRosina O. Weber
Rosina Weber – Rosina Weber-Lee
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2020 – today
- 2024
[j14]Rosina O. Weber
, Adam J. Johs, Prateek Goel, João Marques-Silva:
XAI is in trouble. AI Mag. 45(3): 300-316 (2024)- [c55]Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Mallika Mainali, Matthew Molineaux, Adam Pease, Anik Sen, J. T. Turner, Rosina Weber:
Algorithmic Decision-Making in Difficult Scenarios. AAAI Spring Symposia 2024: 583-585 - [c54]Matthew Molineaux, Rosina O. Weber, Michael W. Floyd, David H. Ménager, Othalia Larue, Ursula Addison, Ray Kulhanek, Noah Reifsnyder, Christopher B. Rauch, Mallika Mainali, Anik Sen, Prateek Goel, Justin Karneeb, J. T. Turner, John Meyer:
Aligning to Human Decision-Makers in Military Medical Triage. ICCBR 2024: 371-387 - [c53]Anik Sen, Mallika Mainali, Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Matthew Molineaux, J. T. Turner, Rosina O. Weber:
Counterfactual-Based Synthetic Case Generation. ICCBR 2024: 388-403 - [c52]Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan:
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure. ISBI 2024: 1-4 - [i11]Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan:
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure. CoRR abs/2403.02236 (2024) - [i10]Ximing Wen, Rosina O. Weber, Anik Sen, Darryl Hannan, Steven C. Nesbit, Vincent Chan, Alberto Goffi, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Christopher J. MacLellan:
The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data. CoRR abs/2407.06206 (2024) - [i9]Ximing Wen, Wenjuan Tan, Rosina O. Weber:
GAProtoNet: A Multi-head Graph Attention-based Prototypical Network for Interpretable Text Classification. CoRR abs/2409.13312 (2024) - 2023
- [c51]Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan:
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. AAAI 2023: 15675-15681 - [c50]Andrew O'Brien, Edward Kim, Rosina Weber:
Basis Learning for Dynamical Systems in the Presence of Incomplete Scientific Knowledge. AIKE 2023: 28-32 - [c49]Andrew O'Brien, Edward Kim, Rosina Weber:
Investigating Causally Augmented Sparse Learning as a Tool for Meaningful Classification. AIKE 2023: 33-37 - [c48]Andrew O'Brien, Rosina Weber, Edward Kim:
Investigating SINDy as a Tool for Causal Discovery in Time Series Signals. ICASSP 2023: 1-5 - [i8]Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O. Weber:
When a CBR in Hand is Better than Twins in the Bush. CoRR abs/2305.05111 (2023) - [i7]Mallika Mainali, Rosina O. Weber:
What's meant by explainable model: A Scoping Review. CoRR abs/2307.09673 (2023) - 2022
- [c47]Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O. Weber:
When a CBR in Hand Better than Twins in the Bush. ICCBR Workshops 2022: 141-152 - [i6]Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan:
MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. CoRR abs/2212.03282 (2022) - [i5]Andrew O'Brien, Rosina Weber, Edward Kim:
Investigating Sindy As a Tool For Causal Discovery In Time Series Signals. CoRR abs/2212.14133 (2022) - 2021
- [j13]Rosina O. Weber, Kedma Duarte:
Data-driven artificial intelligence to automate researcher assessment. Scientometrics 126(4): 3265-3281 (2021) - [c46]Rosina O. Weber, Prateek Goel, Shideh Shams Amiri, Gideon Simpson:
Longitudinal Distance: Towards Accountable Instance Attribution. ICCBR Workshops 2021: 3-15 - [c45]Prateek Goel, Adam J. Johs, Manil Shrestha, Rosina O. Weber:
Explanation Container in Case-Based Biomedical Question-Answering. ICCBR Workshops 2021: 52-62 - [c44]Rosina O. Weber, Manil Shrestha, Adam J. Johs:
Knowledge-based XAI through CBR: There is More to Explanations than Models Can Tell. ICCBR Workshops 2021: 75-86 - [i4]Rosina Weber, Manil Shrestha, Adam J. Johs:
Knowledge-based XAI through CBR: There is more to explanations than models can tell. CoRR abs/2108.10363 (2021) - [i3]Rosina O. Weber, Prateek Goel, Shideh Shams Amiri, Gideon Simpson:
Longitudinal Distance: Towards Accountable Instance Attribution. CoRR abs/2108.10437 (2021) - 2020
- [j12]Tim Miller, Rosina Weber, Daniele Magazzeni:
Report on the 2019 IJCAI Explainable Artificial Intelligence Workshop. AI Mag. 41(1): 103-105 (2020) - [e2]Ian Watson, Rosina O. Weber:
Case-Based Reasoning Research and Development - 28th International Conference, ICCBR 2020, Salamanca, Spain, June 8-12, 2020, Proceedings. Lecture Notes in Computer Science 12311, Springer 2020, ISBN 978-3-030-58341-5 [contents] - [i2]Adam J. Johs, Denise E. Agosto, Rosina O. Weber:
Qualitative Investigation in Explainable Artificial Intelligence: A Bit More Insight from Social Science. CoRR abs/2011.07130 (2020) - [i1]Shideh Shams Amiri, Rosina O. Weber, Prateek Goel, Owen Brooks, Archer Gandley, Brian Kitchell, Aaron Zehm:
Data Representing Ground-Truth Explanations to Evaluate XAI Methods. CoRR abs/2011.09892 (2020)
2010 – 2019
- 2019
- [j11]Rosina Weber:
Applying artificial intelligence in the science & technology cycle. Inf. Serv. Use 39(4): 303-318 (2019) - 2018
- [j10]Rosina O. Weber:
Objectivistic knowledge artifacts. Data Technol. Appl. 52(1): 105-129 (2018) - [c43]Rosina O. Weber, Adam J. Johs, Jianfei Li, Kent Huang:
Investigating Textual Case-Based XAI. ICCBR 2018: 431-447 - 2016
- [j9]David B. Leake, Barry Smyth, Rosina Weber:
Guest editors' introduction: special issue on case-based reasoning. J. Intell. Inf. Syst. 46(2): 235-236 (2016) - [c42]Kedma Duarte, Rosina O. Weber, Roberto C. S. Pacheco:
Case-Based Comparison of Career Trajectories. ICCBR Workshops 2016: 152-161 - [c41]Alan E. Black, Rosina O. Weber:
Introducing Supplemental Context for Word Sense Disambiguation. ICTAI 2016: 1068-1075 - 2015
- [c40]Flávio Ceci, Rosina O. Weber, Alexandre L. Gonçalves, Roberto C. S. Pacheco:
Adapting Sentiments with Context. ICCBR 2015: 44-59 - 2013
- [b1]Michael M. Richter, Rosina O. Weber:
Case-Based Reasoning - A Textbook. Springer 2013, ISBN 978-3-642-40166-4, pp. I-XVIII, 1-546 - [c39]Sidath Gunawardena, Rosina O. Weber:
Applying CBR Principles to Reason without Negative Exemplars. FLAIRS 2013 - [c38]Ilya Waldstein, Rosina O. Weber, Neal Handly:
Lightweight Ontologies in Context - Relationship between Ontology Characteristics and Context Parameters. KEOD 2013: 308-315 - [c37]Sidath Gunawardena, Rosina O. Weber, Julia Stoyanovich:
Learning Feature Weights from Positive Cases. ICCBR 2013: 134-148 - 2012
- [c36]Sidath Gunawardena, Rosina O. Weber:
Blueprints for Success - Guidelines for Building Multidisciplinary Collaboration Teams. ICAART (1) 2012: 387-393 - [c35]Michael M. Richter, Rosina O. Weber:
From Texts, Images, and Data to Attribute Based Case Representation. ICDM (Workshops) 2012: 46-61
2000 – 2009
- 2009
- [j8]Eyke Hüllermeier, Michael M. Richter, Rosina Weber:
Prelude to the papers "Fuzzy case based reasoning for facial expression recognition" and "Temporal similarity by measuring possibilistic uncertainty in CBR". Fuzzy Sets Syst. 160(2): 212-213 (2009) - [c34]Sidath Gunawardena, Rosina Weber:
Discovering Patterns of Collaboration for Recommendation. FLAIRS 2009 - 2008
- [c33]Eyke Hüllermeier, Michael M. Richter, Rosina Weber, Kerstin Bach, Miltos Petridis:
Preface: Uncertainty, Similarity, and Knowledge Discovery in CBR. ECCBR Workshops 2008: 117-118 - [c32]Craig M. MacDonald, Rosina Weber, Michael M. Richter:
Case Base Properties: A First Step. ECCBR Workshops 2008: 159-170 - [c31]Rosina Weber, Sidath Gunawardena, Craig M. MacDonald:
Horizontal Case Representation. ECCBR 2008: 548-561 - [c30]Rosina Weber, Sidath Gunawardena:
Designing Multifunctional Knowledge Management Systems. HICSS 2008: 368 - [c29]Rosina Weber, Sidath Gunawardena, George Abraham:
Representing and Retrieving Knowledge Artifacts. PAKM 2008: 86-97 - 2007
- [j7]Rosina Weber:
Report on the Seventh International Conference on Case-Based Reasoning. AI Mag. 28(4): 137-138 (2007) - [j6]Irma Becerra-Fernandez, Karlene C. Cousins, Rosina O. Weber:
Nomadic context-aware knowledge management systems: applications, challenges and research problems. Int. J. Mob. Learn. Organisation 1(2): 103-121 (2007) - [c28]Rosina Weber, Sidath Gunawardena, Jason M. Proctor:
Generating Reports from Case-Based Knowledge Artifacts. FLAIRS 2007: 445-446 - [e1]Rosina Weber, Michael M. Richter:
Case-Based Reasoning Research and Development, 7th International Conference on Case-Based Reasoning, ICCBR 2007, Belfast, Northern Ireland, UK, August 13-16, 2007, Proceedings. Lecture Notes in Computer Science 4626, Springer 2007, ISBN 978-3-540-74138-1 [contents] - 2006
- [c27]Jason M. Proctor, Rosina O. Weber:
Identifying the core of an emerging multidisciplinary domain. ASIST 2006: 1-14 - [c26]Rosina Weber, Marcia L. Morelli, Michael E. Atwood, Jason M. Proctor:
Designing a Knowledge Management Approach for the CAMRA Community of Science. PAKM 2006: 315-325 - [c25]Maria-Cleci Martins, Rosina Weber:
Modeling Preferences Online. WEBIST (Selected Papers) 2006: 153-165 - 2005
- [j5]Rosina O. Weber, Kevin D. Ashley, Stefanie Brüninghaus:
Textual case-based reasoning. Knowl. Eng. Rev. 20(3): 255-260 (2005) - [j4]William Cheetham, Simon C. K. Shiu, Rosina O. Weber:
Soft case-based reasoning. Knowl. Eng. Rev. 20(3): 267-269 (2005) - [j3]Klaus-Dieter Althoff, Rosina O. Weber:
Knowledge management in case-based reasoning. Knowl. Eng. Rev. 20(3): 305-310 (2005) - [c24]Jason M. Proctor, Ilya Waldstein, Rosina Weber:
Identifying Facts for TCBR. ICCBR Workshops 2005: 150-159 - [c23]Rosina Weber, Jason M. Proctor, Ilya Waldstein, Andres Kriete:
CBR for Modeling Complex Systems. ICCBR 2005: 625-639 - [c22]Jason M. Proctor, Rosina Weber:
Systematically Evolving Configuration Parameters for Computational Intelligence Methods. PReMI 2005: 376-381 - [c21]Maria-Cleci Martins, Rosina Weber:
Modeling Preferences Online. WEBIST 2005: 255-269 - [c20]Rosina Weber, Ilya Waldstein, Amit Deshpande, Jason M. Proctor:
Integrated Approach to Detect Inconspicuous Content. Wissensmanagement 2005: 281-286 - [c19]Rosina Weber, Ilya Waldstein, Amit Deshpande, Jason M. Proctor:
Integrated Approach to Detect Inconspicuous Contents. Wissensmanagement (LNCS Volume) 2005: 304-315 - 2004
- [c18]Kenneth R. Allendoerfer, Rosina Weber:
PlayMaker: An Application of Case-Based Reasoning to Air Traffic Control Plays. ECCBR 2004: 476-488 - [c17]Colleen Cunningham, Rosina Weber, Jason M. Proctor, Caleb Fowler, Michael Murphy:
Investigating Graphs in Textual Case-Based Reasoning. ECCBR 2004: 573-586 - [c16]Rosina Weber, William M. Evanco, Michael Waller, June M. Verner:
Identifying Critical Factors in Case-Based Prediction. FLAIRS 2004: 207-212 - [c15]Rosina Weber, Duanqing Wu:
Knowledge Management for Computational Intelligence Systems. HASE 2004: 116-125 - 2003
- [j2]Rosina Weber, David W. Aha:
Intelligent delivery of military lessons learned. Decis. Support Syst. 34(3): 287-304 (2003) - [c14]Rosina Weber, Michael Waller, June M. Verner, William M. Evanco:
Predicting Software Development Project Outcomes. ICCBR 2003: 595-609 - [c13]Rosina Weber:
Proactive Knowledge Distribution for Agile Processes. WETICE 2003: 338-339 - 2002
- [c12]Rosina Weber, David W. Aha:
Intelligent elicitation of military lessons. IUI 2002: 226-227 - 2001
- [j1]Rosina Weber, David W. Aha, Irma Becerra-Fernandez:
Intelligent lessons learned systems. Expert Syst. Appl. 20(1): 17-34 (2001) - [c11]Rosina Weber, Len Breslow, Nabil Sandhu:
On the Technological, Human, and Managerial Issues in Sharing Organizational Lessons. FLAIRS 2001: 334-338 - [c10]David W. Aha, Rosina Weber, Héctor Muñoz-Avila, Len Breslow, Kalyan Moy Gupta:
Bridging the Lesson Distribution Gap. IJCAI 2001: 987-992 - [c9]Héctor Muñoz-Avila, David W. Aha, Dana S. Nau, Rosina Weber, Len Breslow, Fusun Yaman:
SiN: Integrating Case-based Reasoning with Task Decomposition. IJCAI 2001: 999-1004 - 2000
- [c8]Héctor Muñoz-Avila, David W. Aha, Len Breslow, Dana S. Nau, Rosina Weber-Lee:
Integrating Conversational Case Retrieval with generative Planning. EWCBR 2000: 210-221 - [c7]Rosina Weber, David W. Aha, Héctor Muñoz-Avila, Len Breslow:
Active Delivery for Lessons Learned Systems. EWCBR 2000: 322-334 - [c6]Rosina Weber, David W. Aha, Karl Branting, J. Robert Lucas, Irma Becerra-Fernandez:
Active Case-Based Reasoning for Lessons Delivery System. FLAIRS 2000: 170-174 - [c5]Rosina Weber, David W. Aha, Héctor Muñoz-Avila, Len Breslow:
An Intelligent Lessons Learned Process. ISMIS 2000: 358-367
1990 – 1999
- 1999
- [c4]Rosina Weber:
Intelligent jurisprudence research: a new concept. ICAIL 1999: 164-172 - 1997
- [c3]Rosina Weber-Lee, Ricardo Miranda Barcia, Marcio C. da Costa, Ilson W. Rodrigues Filho, Hugo Cesar Hoeschl, Tânia C. D'Agostini Bueno, Alejandro Martins, Roberto C. S. Pacheco:
A Large Case-Based Reasoner for Legal Cases. ICCBR 1997: 190-199 - 1996
- [c2]Rosina Weber-Lee, Ricardo Miranda Barcia, Alejandro Martins, Roberto C. S. Pacheco:
Using Typicality Theory to Select the Best Match. EWCBR 1996: 445-459 - 1995
- [c1]Rosina Weber-Lee, Ricardo Miranda Barcia, Suresh K. Khator:
Case-Based Reasoning for Cash-Flow Forecasting using Fuzzy Retrieval. ICCBR 1995: 510-519
Coauthor Index
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last updated on 2024-11-07 21:32 CET by the dblp team
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