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Razvan C. Bunescu
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- affiliation: University of North Carolina at Charlotte, NC, USA
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2020 – today
- 2024
- [c67]Juliana Curry, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu:
PCM Enabled Low-Power Photonic Accelerator for Inference and Training on Edge Devices. IPDPS (Workshops) 2024: 600-607 - [c66]Erfan Al-Hossami, Razvan C. Bunescu, Justin Smith, Ryan Teehan:
Can Language Models Employ the Socratic Method? Experiments with Code Debugging. SIGCSE (1) 2024: 53-59 - 2023
- [j14]Charles Chen, Razvan C. Bunescu, Cindy Marling:
A semantic parsing pipeline for context-dependent question answering over temporally structured data. Nat. Lang. Eng. 29(3): 769-793 (2023) - [c65]Erfan Al-Hossami, Razvan C. Bunescu, Ryan Teehan, Laurel Powell, Khyati Mahajan, Mohsen Dorodchi:
Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary Evaluations. BEA@ACL 2023: 709-726 - [c64]Kyle Shiflett, Avinash Karanth, Razvan C. Bunescu, Ahmed Louri:
Flumen: Dynamic Processing in the Photonic Interconnect. ISCA 2023: 75:1-75:13 - [c63]Smita Nannaware, Erfan Al-Hossami, Razvan C. Bunescu:
Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models. KaRS@RecSys 2023: 50-60 - [c62]Tonmoy Hasan, Razvan C. Bunescu:
Topic-Level Bayesian Surprise and Serendipity for Recommender Systems. RecSys 2023: 933-939 - [i17]Garett Cunningham, Razvan C. Bunescu, David Juedes:
Towards Autoformalization of Mathematics and Code Correctness: Experiments with Elementary Proofs. CoRR abs/2301.02195 (2023) - [i16]Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Brandon Beckwith, Sreenivas Subramoney:
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices. CoRR abs/2304.07941 (2023) - [i15]Tonmoy Hasan, Razvan C. Bunescu:
Topic-Level Bayesian Surprise and Serendipity for Recommender Systems. CoRR abs/2308.06368 (2023) - [i14]Erfan Al-Hossami, Razvan C. Bunescu, Justin Smith, Ryan Teehan:
Can Language Models Employ the Socratic Method? Experiments with Code Debugging. CoRR abs/2310.03210 (2023) - [i13]Smita Nannaware, Erfan Al-Hossami, Razvan C. Bunescu:
Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models. CoRR abs/2311.02702 (2023) - [i12]Oseremen O. Uduehi, Razvan C. Bunescu:
An Expectation-Realization Model for Metaphor Detection. CoRR abs/2311.03963 (2023) - 2022
- [c61]Mike Chen, Razvan C. Bunescu:
Changing the Narrative Perspective: From Ranking to Prompt-Based Generation of Entity Mentions. Text2Story@ECIR 2022: 35-43 - 2021
- [j13]Mike Chen, Razvan C. Bunescu:
Changing the narrative perspective: From deictic to anaphoric point of view. Inf. Process. Manag. 58(4): 102559 (2021) - [j12]Jeremy Beauchamp, Razvan C. Bunescu, Cindy Marling, Zhongen Li, Chang Liu:
LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management. Sensors 21(9): 3303 (2021) - [c60]Kyle Shiflett, Avinash Karanth, Ahmed Louri, Razvan C. Bunescu:
Bitwise Neural Network Acceleration Using Silicon Photonics. ACM Great Lakes Symposium on VLSI 2021: 9-14 - [c59]Jiajun Li, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu:
CSCNN: Algorithm-hardware Co-design for CNN Accelerators using Centrosymmetric Filters. HPCA 2021: 612-625 - [c58]Jiajun Li, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu:
GCNAX: A Flexible and Energy-efficient Accelerator for Graph Convolutional Neural Networks. HPCA 2021: 775-788 - [c57]Oseremen O. Uduehi, Razvan C. Bunescu:
Adversarial Learning of Expectation and Surprise: Experiments with Geometric Shapes. ICCC 2021: 286-290 - [c56]Kyle Shiflett, Avinash Karanth, Razvan C. Bunescu, Ahmed Louri:
Albireo: Energy-Efficient Acceleration of Convolutional Neural Networks via Silicon Photonics. ISCA 2021: 860-873 - [i11]Mike Chen, Razvan C. Bunescu:
Changing the Narrative Perspective: From Deictic to Anaphoric Point of View. CoRR abs/2103.04176 (2021) - [i10]Jeremy Beauchamp, Razvan C. Bunescu, Cindy Marling, Zhongen Li, Chang Liu:
LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management. CoRR abs/2103.06708 (2021) - [i9]Mehdi Rezaie, Ashley J. Ross, Hee-Jong Seo, Eva-Maria Mueller, Will J. Percival, Grant Merz, Reza Katebi, Razvan C. Bunescu, Julián Bautista, Joel R. Brownstein, Etienne Burtin, Kyle Dawson, Héctor Gil-Marín, Jiamin Hou, Eleanor B. Lyke, Axel de la Macorra, Graziano Rossi, Donald P. Schneider, Pauline Zarrouk, Gong-Bo Zhao:
Primordial non-Gaussianity from the Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey I: Catalogue Preparation and Systematic Mitigation. CoRR abs/2106.13724 (2021) - 2020
- [j11]Yichao Li, Yating Liu, David Juedes, Frank Drews, Razvan C. Bunescu, Lonnie R. Welch:
Set cover-based methods for motif selection. Bioinform. 36(4): 1044-1051 (2020) - [j10]Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Ahmed Louri, Kyle Shiflett:
Hardware-Level Thread Migration to Reduce On-Chip Data Movement Via Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3638-3649 (2020) - [c55]Jeremy Beauchamp, Razvan C. Bunescu, Cindy Marling:
A General Neural Architecture for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management. KDH@ECAI 2020: 43-47 - [c54]Cindy Marling, Razvan C. Bunescu:
The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020. KDH@ECAI 2020: 71-74 - [e2]Kerstin Bach, Razvan C. Bunescu, Cindy Marling, Nirmalie Wiratunga:
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, KDH@ECAI 2020, Santiago de Compostela, Spain & Virtually, August 29-30, 2020. CEUR Workshop Proceedings 2675, CEUR-WS.org 2020 [contents] - [i8]Patrick Gray, Razvan C. Bunescu:
From Note-Level to Chord-Level Neural Network Models for Voice Separation in Symbolic Music. CoRR abs/2011.03028 (2020) - [i7]Kaiyu Shen, Razvan C. Bunescu, Sarah E. Wyatt:
Mining Functionally Related Genes with Semi-Supervised Learning. CoRR abs/2011.03089 (2020)
2010 – 2019
- 2019
- [j9]Quintin Fettes, Mark Clark, Razvan C. Bunescu, Avinash Karanth, Ahmed Louri:
Dynamic Voltage and Frequency Scaling in NoCs With Supervised and Reinforcement Learning Techniques. Computer 52(9): 4-5 (2019) - [j8]Quintin Fettes, Mark Clark, Razvan C. Bunescu, Avinash Karanth, Ahmed Louri:
Dynamic Voltage and Frequency Scaling in NoCs with Supervised and Reinforcement Learning Techniques. IEEE Trans. Computers 68(3): 375-389 (2019) - [j7]Kristen Masada, Razvan C. Bunescu:
Chord Recognition in Symbolic Music: A Segmental CRF Model, Segment-Level Features, and Comparative Evaluations on Classical and Popular Music. Trans. Int. Soc. Music. Inf. Retr. 2(1): 1-13 (2019) - [c53]Ke Wang, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu:
High-performance, Energy-efficient, Fault-tolerant Network-on-Chip Design Using Reinforcement Learnin. DATE 2019: 1166-1171 - [c52]Sadegh Mirshekarian, Hui Shen, Razvan C. Bunescu, Cindy Marling:
LSTMs and Neural Attention Models for Blood Glucose Prediction: Comparative Experiments on Real and Synthetic Data. EMBC 2019: 706-712 - [c51]Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Neural caption generation over figures. UbiComp/ISWC Adjunct 2019: 482-485 - [c50]Razvan C. Bunescu, Oseremen O. Uduehi:
Learning to Surprise: A Composer-Audience Architecture. ICCC 2019: 41-48 - [c49]Alex Mayle, Zhiwei Mou, Razvan C. Bunescu, Sadegh Mirshekarian, Li Xu, Chang Liu:
Diagnosing Dysarthria with Long Short-Term Memory Networks. INTERSPEECH 2019: 4514-4518 - [c48]Ke Wang, Ahmed Louri, Avinash Karanth, Razvan C. Bunescu:
IntelliNoC: a holistic design framework for energy-efficient and reliable on-chip communication for manycores. ISCA 2019: 589-600 - [c47]Charles Chen, Razvan C. Bunescu:
Context Dependent Semantic Parsing over Temporally Structured Data. NAACL-HLT (1) 2019: 3576-3585 - [c46]Charles Chen, Sadegh Mirshekarian, Razvan C. Bunescu, Cindy Marling:
From Physician Queries to Logical Forms for Efficient Exploration of Patient Data. ICSC 2019: 371-374 - [i6]Charles Chen, Razvan C. Bunescu:
Context-Dependent Semantic Parsing over Temporally Structured Data. CoRR abs/1905.00245 (2019) - [i5]Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Figure Captioning with Reasoning and Sequence-Level Training. CoRR abs/1906.02850 (2019) - [i4]Xianlong Zeng, Soheil Moosavinasab, En-Ju D. Lin, Simon M. Lin, Razvan C. Bunescu, Chang Liu:
Distributed representation of patients and its use for medical cost prediction. CoRR abs/1909.07157 (2019) - 2018
- [c45]Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu:
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. CIKM 2018: 2175-2182 - [c44]Mark Clark, Avinash Kodi, Razvan C. Bunescu, Ahmed Louri:
LEAD: learning-enabled energy-aware dynamic voltage/frequency scaling in NoCs. DAC 2018: 82:1-82:6 - [c43]Scott Van Winkle, Avinash Karanth Kodi, Razvan C. Bunescu, Ahmed Louri:
Extending the Power-Efficiency and Performance of Photonic Interconnects for Heterogeneous Multicores with Machine Learning. HPCA 2018: 480-491 - [c42]Xin Ye, Fan Fang, John Wu, Razvan C. Bunescu, Chang Liu:
Bug Report Classification Using LSTM Architecture for More Accurate Software Defect Locating. ICMLA 2018: 1438-1445 - [c41]Cindy Marling, Razvan C. Bunescu:
The OhioT1DM Dataset For Blood Glucose Level Prediction. KDH@IJCAI 2018: 60-63 - [e1]Kerstin Bach, Razvan C. Bunescu, Oladimeji Farri, Aili Guo, Sadid A. Hasan, Zina M. Ibrahim, Cindy Marling, Jesse Raffa, Jonathan Rubin, Honghan Wu:
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Schweden, July 13, 2018. CEUR Workshop Proceedings 2148, CEUR-WS.org 2018 [contents] - [i3]Reza Katebi, Yadi Zhou, Ryan Chornock, Razvan C. Bunescu:
Galaxy morphology prediction using capsule networks. CoRR abs/1809.08377 (2018) - [i2]Kristen Masada, Razvan C. Bunescu:
Chord Recognition in Symbolic Music: A Segmental CRF Model, Segment-Level Features, and Comparative Evaluations on Classical and Popular Music. CoRR abs/1810.10002 (2018) - 2017
- [c40]Sadegh Mirshekarian, Razvan C. Bunescu, Cindy Marling, Frank Schwartz:
Using LSTMs to learn physiological models of blood glucose behavior. EMBC 2017: 2887-2891 - [c39]Chinmaya R. Naguri, Razvan C. Bunescu:
Recognition of Dynamic Hand Gestures from 3D Motion Data Using LSTM and CNN Architectures. ICMLA 2017: 1130-1133 - [c38]Charles Chen, Razvan C. Bunescu:
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering. IJCNLP(2) 2017: 442-447 - [c37]Kristen Masada, Razvan C. Bunescu:
Chord Recognition in Symbolic Music Using Semi-Markov Conditional Random Fields. ISMIR 2017: 272-278 - [i1]Alexander Bagnall, Razvan C. Bunescu, Gordon Stewart:
Training Ensembles to Detect Adversarial Examples. CoRR abs/1712.04006 (2017) - 2016
- [j6]Xin Ye, Razvan C. Bunescu, Chang Liu:
Mapping Bug Reports to Relevant Files: A Ranking Model, a Fine-Grained Benchmark, and Feature Evaluation. IEEE Trans. Software Eng. 42(4): 379-402 (2016) - [c36]Xin Ye, Hui Shen, Xiao Ma, Razvan C. Bunescu, Chang Liu:
From word embeddings to document similarities for improved information retrieval in software engineering. ICSE 2016: 404-415 - [c35]Charles Chen, Razvan C. Bunescu, Li Xu, Chang Liu:
Tone Classification in Mandarin Chinese Using Convolutional Neural Networks. INTERSPEECH 2016: 2150-2154 - [c34]Patrick Gray, Razvan C. Bunescu:
A Neural Greedy Model for Voice Separation in Symbolic Music. ISMIR 2016: 782-788 - 2015
- [j5]Dominic DiTomaso, Avinash Karanth Kodi, Ahmed Louri, Razvan C. Bunescu:
Resilient and Power-Efficient Multi-Function Channel Buffers in Network-on-Chip Architectures. IEEE Trans. Computers 64(12): 3555-3568 (2015) - [c33]Cindy Marling, Razvan C. Bunescu, Babak Baradar-Bokaie, Frank Schwartz:
Case-Based Reasoning as a Prelude to Big Data Analysis: A Case Study. ICCBR (Workshops) 2015: 175-183 - 2014
- [c32]Kevin Plis, Razvan C. Bunescu, Cindy Marling, Jay Shubrook, Frank Schwartz:
A Machine Learning Approach to Predicting Blood Glucose Levels for Diabetes Management. AAAI Workshop: Modern Artificial Intelligence for Health Analytics 2014 - [c31]Xin Ye, Razvan C. Bunescu, Chang Liu:
Learning to rank relevant files for bug reports using domain knowledge. SIGSOFT FSE 2014: 689-699 - 2013
- [c30]Razvan C. Bunescu, Nigel Struble, Cindy Marling, Jay Shubrook, Frank Schwartz:
Blood Glucose Level Prediction Using Physiological Models and Support Vector Regression. ICMLA (1) 2013: 135-140 - [c29]Bharath Dandala, Rada Mihalcea, Razvan C. Bunescu:
Multilingual Word Sense Disambiguation Using Wikipedia. IJCNLP 2013: 498-506 - [c28]Bharath Dandala, Chris Hokamp, Rada Mihalcea, Razvan C. Bunescu:
Sense Clustering Using Wikipedia. RANLP 2013: 164-171 - [c27]Hui Shen, Razvan C. Bunescu, Rada Mihalcea:
Coarse to Fine Grained Sense Disambiguation in Wikipedia. *SEM@NAACL-HLT 2013: 22-31 - [p1]Bharath Dandala, Rada Mihalcea, Razvan C. Bunescu:
Word Sense Disambiguation Using Wikipedia. The People's Web Meets NLP 2013: 241-262 - 2012
- [j4]Cindy Marling, Matthew Wiley, Razvan C. Bunescu, Jay Shubrook, Frank Schwartz:
Emerging Applications for Intelligent Diabetes Management. AI Mag. 33(2): 67-78 (2012) - [c26]Hui Shen, Razvan C. Bunescu, Rada Mihalcea:
Sense and Reference Disambiguation in Wikipedia. COLING (Posters) 2012: 1111-1120 - [c25]Razvan C. Bunescu:
An Adaptive Clustering Model that Integrates Expert Rules and N-gram Statistics for Coreference Resolution. ECAI 2012: 897-898 - [c24]Razvan C. Bunescu:
Adaptive Clustering for Coreference Resolution with Deterministic Rules and Web-Based Language Models. *SEM@NAACL-HLT 2012: 11-19 - [c23]Bharath Dandala, Rada Mihalcea, Razvan C. Bunescu:
Towards Building a Multilingual Semantic Network: Identifying Interlingual Links in Wikipedia. *SEM@NAACL-HLT 2012: 30-37 - 2011
- [c22]Michael Mohler, Razvan C. Bunescu, Rada Mihalcea:
Learning to Grade Short Answer Questions using Semantic Similarity Measures and Dependency Graph Alignments. ACL 2011: 752-762 - [c21]Cindy Marling, Matthew Wiley, Razvan C. Bunescu, Jay Shubrook, Frank Schwartz:
Emerging Applications for Intelligent Diabetes Management. IAAI 2011: 1668-1673 - [c20]Cindy Marling, Matthew Wiley, Tessa Cooper, Razvan C. Bunescu, Jay Shubrook, Frank Schwartz:
The 4 Diabetes Support System: A Case Study in CBR Research and Development. ICCBR 2011: 137-150 - [c19]Matthew Wiley, Razvan C. Bunescu, Cindy Marling, Jay Shubrook, Frank Schwartz:
Automatic Detection of Excessive Glycemic Variability for Diabetes Management. ICMLA (2) 2011: 148-154 - 2010
- [c18]Razvan C. Bunescu, Yunfeng Huang:
A Utility-Driven Approach to Question Ranking in Social QA. COLING 2010: 125-133 - [c17]Razvan C. Bunescu, Yunfeng Huang:
Learning the Relative Usefulness of Questions in Community QA. EMNLP 2010: 97-107
2000 – 2009
- 2009
- [j3]Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Rong Zhou:
AAAI 2008 Workshop Reports. AI Mag. 30(1): 108-118 (2009) - 2008
- [c16]Razvan C. Bunescu:
Learning with Probabilistic Features for Improved Pipeline Models. EMNLP 2008: 670-679 - 2007
- [c15]Razvan C. Bunescu, Raymond J. Mooney:
Learning to Extract Relations from the Web using Minimal Supervision. ACL 2007 - [c14]Razvan C. Bunescu, Raymond J. Mooney:
Multiple instance learning for sparse positive bags. ICML 2007: 105-112 - 2006
- [c13]Razvan C. Bunescu, Raymond J. Mooney, Arun K. Ramani, Edward M. Marcotte:
Integrating Co-occurrence Statistics with Information Extraction for Robust Retrieval of Protein Interactions from Medline. BioNLP@NAACL-HLT 2006: 49-56 - [c12]Razvan C. Bunescu, Marius Pasca:
Using Encyclopedic Knowledge for Named entity Disambiguation. EACL 2006 - 2005
- [j2]Razvan C. Bunescu, Ruifang Ge, Rohit J. Kate, Edward M. Marcotte, Raymond J. Mooney, Arun K. Ramani, Yuk Wah Wong:
Comparative experiments on learning information extractors for proteins and their interactions. Artif. Intell. Medicine 33(2): 139-155 (2005) - [j1]Raymond J. Mooney, Razvan C. Bunescu:
Mining knowledge from text using information extraction. SIGKDD Explor. 7(1): 3-10 (2005) - [c11]Arun K. Ramani, Razvan C. Bunescu, Raymond J. Mooney, Edward M. Marcotte:
Using Biomedical Literature Mining to Consolidate the Set of Known Human Protein-Protein Interactions. LBLODMBS@IDMB 2005: 46-53 - [c10]Razvan C. Bunescu, Raymond J. Mooney:
A Shortest Path Dependency Kernel for Relation Extraction. HLT/EMNLP 2005: 724-731 - [c9]Razvan C. Bunescu, Raymond J. Mooney:
Subsequence Kernels for Relation Extraction. NIPS 2005: 171-178 - 2004
- [c8]Razvan C. Bunescu, Raymond J. Mooney:
Collective Information Extraction with Relational Markov Networks. ACL 2004: 438-445 - 2003
- [c7]Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, Wayne Niblack:
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques. ICDM 2003: 427-434 - 2001
- [c6]Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca, Rada Mihalcea, Mihai Surdeanu, Razvan C. Bunescu, Roxana Girju, Vasile Rus, Paul Morarescu:
The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering. ACL 2001: 274-281 - [c5]Sanda M. Harabagiu, Razvan C. Bunescu:
Data-Driven Coreference Resolution. FLAIRS 2001: 439-443 - [c4]Sanda M. Harabagiu, Razvan C. Bunescu, Stefan Trausan-Matu:
COREFDRAW-A Tool for Annotation and Visualization of Coreference Data. ICTAI 2001: 273-279 - [c3]Sanda M. Harabagiu, Razvan C. Bunescu, Steven J. Maiorano:
Text and Knowledge Mining for Coreference Resolution. NAACL 2001 - [c2]Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca, Mihai Surdeanu, Rada Mihalcea, Roxana Girju, Vasile Rus, V. Finley Lacatusu, Paul Morarescu, Razvan C. Bunescu:
Answering Complex, List and Context Questions with LCC's Question-Answering Server. TREC 2001 - 2000
- [c1]Sanda M. Harabagiu, Dan I. Moldovan, Marius Pasca, Rada Mihalcea, Mihai Surdeanu, Razvan C. Bunescu, Roxana Girju, Vasile Rus, Paul Morarescu:
FALCON: Boosting Knowledge for Answer Engines. TREC 2000
Coauthor Index
aka: Cindy Marling
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