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ORCIDAnagha Kulkarni 0001
Person information
- affiliation: San Francisco State University, San Francisco, CA, USA
- affiliation (former): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Anagha Kulkarni 0002
![[0000-0003-1107-6978]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1107-6978")
— Arizona State University, AZ, USA - Anagha Kulkarni 0003 — Department of Computer Engineering, GHRCOEM, Ahmednagar, India
- Anagha Kulkarni 0004 (aka: Anagha R. Kulkarni) — Cummins College of Engineering for Women, Pune, India
- Anagha Kulkarni 0005 — Invitae Corporation
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2020 – today
- 2024
[c41]Aakash Gautam, Anagha Kulkarni, Sarah Hug, Jane Lehr, Ilmi Yoon:
Socially Responsible Computing in an Introductory Course. SIGCSE (1) 2024: 373-379- [i1]Aakash Gautam, Anagha Kulkarni, Sarah Hug, Jane Lehr, Ilmi Yoon:
Socially Responsible Computing in an Introductory Course. CoRR abs/2401.01285 (2024) - 2023
- [c40]Andrew Taylor Scott, Lothar D. Narins, Anagha Kulkarni, Mar Castanon, Benjamin Kao, Shasta Ihorn, Yue-Ting Siu, Ilmi Yoon:
Improved Image Caption Rating - Datasets, Game, and Model. CHI Extended Abstracts 2023: 172:1-172:7 - [c39]Miho Shimizu, Mike Wong, Anagha Kulkarni:
Quantitative Measures of Online Health Information (QMOHI): Broadening the Impact Through Improved Usability, Applicability, and Effectiveness. ICHI 2023: 565-569 - [c38]Lothar D. Narins, Andrew T. Scott, Aakash Gautam, Anagha Kulkarni, Mar Castanon, Benjamin Kao, Shasta Ihorn, Yue-Ting Siu, James M. Mason, Alexander Blum, Ilmi Yoon:
Validated Image Caption Rating Dataset. NeurIPS 2023 - 2022
- [j4]Rochelle-Jan Reyes, Nina Hosmane, Shasta Ihorn, Milo Johnson, Anagha Kulkarni, Jennifer Nelson, Michael Savvides, Duc Ta, Ilmi Yoon, Pleuni S. Pennings:
Ten simple rules for designing and running a computing minor for bio/chem students. PLoS Comput. Biol. 18(7) (2022) - 2021
- [j3]Mike Wong, Paul Previde, Jack Cole, Brook Thomas, Nayana Laxmeshwar, Emily K. Mallory, Jake Lever, Dragutin Petkovic, Russ B. Altman, Anagha Kulkarni:
Search and visualization of gene-drug-disease interactions for pharmacogenomics and precision medicine research using GeneDive. J. Biomed. Informatics 117: 103732 (2021) - [c37]Mike Wong, Nayana Laxmeshwar, Rachit Joshi, Anagha Kulkarni:
Browsing weighted interactome models using GeneDive. BCB 2021: 65:1 - [c36]Mike Wong, Saeideh Ghahghaei, Arvind Chandna, Anagha Kulkarni:
Scalable non-invasive pediatric cerebral visual impairment screening with the higher visual function question inventory (HVFQI). BCB 2021: 66:1 - [c35]Swetha Govindu, Raviteja Vidya Guttula, Swati Kohli, Poonam Patil, Anagha Kulkarni, Ilmi Yoon:
Towards Intelligent Reading through Multimodal and Contextualized Word LookUp. ICMLA 2021: 1249-1252 - [c34]Yordanos A. Mogos, Shasta M. Ihorn, Ilmi Yoon, Anagha Kulkarni:
Computer Science Identity Development in Diverse Student Populations: A Qualitative Study. SIGCSE 2021: 1248 - 2020
- [c33]Karuna Nayak, Shailesh Krishna, Khanh Tran, Marissa Harris, Ana Maria Barrera, Kim Coble, Anagha Kulkarni:
Using Text Analytics on Reflective Journaling to Identify Cultural Capitals for STEM Students. ICMLA 2020: 797-804 - [c32]Shasta Ihorn, Ilmi Yoon, Anagha Kulkarni:
Student Psychological Factors and Diversity in Computer Science Education. SIGCSE 2020: 1380
2010 – 2019
- 2019
- [j2]Lowell K. Milliken, Sirisha K. Motomarry, Anagha Kulkarni:
ARtPM: Article Retrieval for Precision Medicine. J. Biomed. Informatics 95 (2019) - 2018
- [c31]Chanin Pithyaachariyakul, Anagha Kulkarni:
Automated Question Answering System for Community-Based Questions. AAAI 2018: 8131-8132 - [c30]Anagha Kulkarni, Ilmi Yoon, Pleuni S. Pennings, Kazunori Okada, Carmen Domingo:
Promoting diversity in computing. ITiCSE 2018: 236-241 - [c29]Paul Previde, Brook Thomas, Mike Wong, Emily K. Mallory, Dragutin Petkovic, Russ B. Altman, Anagha Kulkarni:
GeneDive: A gene interaction search and visualization tool to facilitate precision medicine. PSB 2018: 590-601 - [c28]Jose Ortiz Costa, Anagha Kulkarni:
Leveraging Knowledge Graph for Open-Domain Question Answering. WI 2018: 389-394 - 2017
- [c27]Mon-Shih Chuang, Anagha Kulkarni:
Improving Shard Selection for Selective Search. AIRS 2017: 29-41 - [c26]Maria Khvalchik, Chanin Pithyaachariyakul, Anagha Kulkarni:
Answering the Hard Questions. LDK 2017: 253-261 - [c25]Chanin Pithyaachariyakul, Maria Khvalchik, Anagha Kulkarni:
Automated Question Answering System. SIMBig 2017: 47-56 - [c24]Mon-Shih Chuang, Anagha Kulkarni:
Balancing Precision and Recall with Selective Search. SIMBig 2017: 151-160 - [c23]Maria Khvalchik, Anagha Kulkarni:
Open-Domain Non-factoid Question Answering. TSD 2017: 290-298 - 2016
- [c22]Mon-Shih Chuang, Anagha Kulkarni:
San Francisco State University (SFSU) at Total Recall Track of TREC 2016. TREC 2016 - [c21]Maria Khvalchik, Anagha Kulkarni:
San Francisco State University at LiveQA Track of TREC 2016. TREC 2016 - 2015
- [j1]Anagha Kulkarni, Jamie Callan:
Selective Search: Efficient and Effective Search of Large Textual Collections. ACM Trans. Inf. Syst. 33(4): 17:1-17:33 (2015) - [c20]Anagha Kulkarni:
ShRkC: Shard Rank Cutoff Prediction for Selective Search. SPIRE 2015: 337-349 - 2014
- [c19]Aayush Bhandari, James Klinkhammer, Anagha Kulkarni:
San Francisco State University at TREC 2014: Clinical Decision Support Track and Microblog Track. TREC 2014 - 2012
- [c18]Anagha Kulkarni, Almer S. Tigelaar, Djoerd Hiemstra, Jamie Callan:
Shard ranking and cutoff estimation for topically partitioned collections. CIKM 2012: 555-564 - [c17]Krysta M. Svore, Jaime Teevan, Susan T. Dumais, Anagha Kulkarni:
Creating temporally dynamic web search snippets. SIGIR 2012: 1045-1046 - 2011
- [c16]Anagha Kulkarni, Jaime Teevan, Krysta M. Svore, Susan T. Dumais:
Understanding temporal query dynamics. WSDM 2011: 167-176 - 2010
- [c15]Anagha Kulkarni, Jamie Callan:
Document allocation policies for selective searching of distributed indexes. CIKM 2010: 449-458 - [c14]Anagha Kulkarni, Jamie Callan:
Topic-based Index Partitions for Efficient and Effective Selective Search. LSDS-IR@SIGIR 2010: 19-24
2000 – 2009
- 2008
- [c13]Anagha Kulkarni, Jamie Callan:
Dictionary Definitions based Homograph Identification using a Generative Hierarchical Model. ACL (2) 2008: 85-88 - [c12]Anagha Kulkarni, Michael Heilman, Maxine Eskénazi, Jamie Callan:
Word Sense Disambiguation for Vocabulary Learning. Intelligent Tutoring Systems 2008: 500-509 - 2007
- [c11]Ted Pedersen, Anagha Kulkarni:
Unsupervised Discrimination of Person Names in Web Contexts. CICLing 2007: 299-310 - [c10]Anagha Kulkarni, Jamie Callan, Maxine Eskénazi:
Dictionary definitions: the likes and the unlikes. SLaTE 2007: 73-76 - 2006
- [c9]Anagha Kulkarni, Ted Pedersen:
How Many Different "John Smiths", and Who Are They? AAAI 2006: 1885-1886 - [c8]Ted Pedersen, Anagha Kulkarni, Roxana Angheluta, Zornitsa Kozareva, Thamar Solorio:
An Unsupervised Language Independent Method of Name Discrimination Using Second Order Co-occurrence Features. CICLing 2006: 208-222 - [c7]Ted Pedersen, Anagha Kulkarni:
Selecting the "Right" Number of Senses Based on Clustering Criterion Functions. EACL 2006 - [c6]Ted Pedersen, Anagha Kulkarni:
Automatic Cluster Stopping with Criterion Functions and the Gap Statistic. HLT-NAACL 2006 - 2005
- [c5]Ted Pedersen, Anagha Kulkarni:
Identifying Similar Words and Contexts in Natural Language with SenseClusters. AAAI 2005: 1694-1695 - [c4]Anagha Kulkarni, Ted Pedersen:
SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts. ACL 2005: 105-108 - [c3]Anagha Kulkarni:
Unsupervised Discrimination and Labeling of Ambiguous Names. ACL 2005: 145-150 - [c2]Ted Pedersen, Amruta Purandare, Anagha Kulkarni:
Name Discrimination by Clustering Similar Contexts. CICLing 2005: 226-237 - [c1]Anagha Kulkarni, Ted Pedersen:
Name Discrimination and Email Clustering using Unsupervised Clustering and Labeling of Similar Contexts. IICAI 2005: 703-722
Coauthor Index
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