Anagha Kulkarni

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 25

Top Topics

State University

Precision And Recall

Top Venues

J. Biomed. Informatics

Publications

Aakash Gautam, Anagha Kulkarni, Sarah Hug, Jane Lehr, Ilmi Yoon
Socially Responsible Computing in an Introductory Course. CoRR (2024)
Aakash Gautam, Anagha Kulkarni, Sarah Hug, Jane Lehr, Ilmi Yoon
Socially Responsible Computing in an Introductory Course. SIGCSE (1) (2024)
Miho Shimizu, Mike Wong, Anagha Kulkarni
Quantitative Measures of Online Health Information (QMOHI): Broadening the Impact Through Improved Usability, Applicability, and Effectiveness. ICHI (2023)
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)
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)
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)
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 (2021)
Swetha Govindu, Raviteja Vidya Guttula, Swati Kohli, Poonam Patil, Anagha Kulkarni, Ilmi Yoon
Towards Intelligent Reading through Multimodal and Contextualized Word LookUp. ICMLA (2021)
Mike Wong, Nayana Laxmeshwar, Rachit Joshi, Anagha Kulkarni
Browsing weighted interactome models using GeneDive. BCB (2021)
Yordanos A. Mogos, Shasta M. Ihorn, Ilmi Yoon, Anagha Kulkarni
Computer Science Identity Development in Diverse Student Populations: A Qualitative Study. SIGCSE (2021)
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)
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)
Shasta Ihorn, Ilmi Yoon, Anagha Kulkarni
Student Psychological Factors and Diversity in Computer Science Education. SIGCSE (2020)
Lowell K. Milliken, Sirisha K. Motomarry, Anagha Kulkarni
ARtPM: Article Retrieval for Precision Medicine. J. Biomed. Informatics 95 (2019)
Jose Ortiz Costa, Anagha Kulkarni
Leveraging Knowledge Graph for Open-Domain Question Answering. WI (2018)
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)
Chanin Pithyaachariyakul, Anagha Kulkarni
Automated Question Answering System for Community-Based Questions. AAAI (2018)
Anagha Kulkarni, Ilmi Yoon, Pleuni S. Pennings, Kazunori Okada, Carmen Domingo
Promoting diversity in computing. ITiCSE (2018)
Mon-Shih Chuang, Anagha Kulkarni
Balancing Precision and Recall with Selective Search. SIMBig (2017)
Chanin Pithyaachariyakul, Maria Khvalchik, Anagha Kulkarni
Automated Question Answering System. SIMBig (2017)
Maria Khvalchik, Chanin Pithyaachariyakul, Anagha Kulkarni
Answering the Hard Questions. LDK (2017)
Maria Khvalchik, Anagha Kulkarni
Open-Domain Non-factoid Question Answering. TSD (2017)
Mon-Shih Chuang, Anagha Kulkarni
Improving Shard Selection for Selective Search. AIRS (2017)
Maria Khvalchik, Anagha Kulkarni
San Francisco State University at LiveQA Track of TREC 2016. TREC (2016)
Mon-Shih Chuang, Anagha Kulkarni
San Francisco State University (SFSU) at Total Recall Track of TREC 2016. TREC (2016)
Anagha Kulkarni, Jamie Callan
Selective Search: Efficient and Effective Search of Large Textual Collections. ACM Trans. Inf. Syst. 33 (4) (2015)
Anagha Kulkarni
ShRkC: Shard Rank Cutoff Prediction for Selective Search. SPIRE (2015)
Aayush Bhandari, James Klinkhammer, Anagha Kulkarni
San Francisco State University at TREC 2014: Clinical Decision Support Track and Microblog Track. TREC (2014)
Anagha Kulkarni, Almer S. Tigelaar, Djoerd Hiemstra, Jamie Callan
Shard ranking and cutoff estimation for topically partitioned collections. CIKM (2012)
Krysta M. Svore, Jaime Teevan, Susan T. Dumais, Anagha Kulkarni
Creating temporally dynamic web search snippets. SIGIR (2012)
Anagha Kulkarni, Jaime Teevan, Krysta M. Svore, Susan T. Dumais
Understanding temporal query dynamics. WSDM (2011)
Anagha Kulkarni, Jamie Callan
Document allocation policies for selective searching of distributed indexes. CIKM (2010)
Anagha Kulkarni, Jamie Callan
Topic-based Index Partitions for Efficient and Effective Selective Search. LSDS-IR@SIGIR (2010)
Anagha Kulkarni, Michael Heilman, Maxine Eskénazi, Jamie Callan
Word Sense Disambiguation for Vocabulary Learning. Intelligent Tutoring Systems (2008)
Anagha Kulkarni, Jamie Callan
Dictionary Definitions based Homograph Identification using a Generative Hierarchical Model. ACL (2) (2008)
Ted Pedersen, Anagha Kulkarni
Unsupervised Discrimination of Person Names in Web Contexts. CICLing (2007)
Anagha Kulkarni, Jamie Callan, Maxine Eskénazi
Dictionary definitions: the likes and the unlikes. SLaTE (2007)
Anagha Kulkarni, Ted Pedersen
How Many Different "John Smiths", and Who Are They? AAAI (2006)
Ted Pedersen, Anagha Kulkarni
Automatic Cluster Stopping with Criterion Functions and the Gap Statistic. HLT-NAACL (2006)
Ted Pedersen, Anagha Kulkarni
Selecting the "Right" Number of Senses Based on Clustering Criterion Functions. EACL (2006)
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)
Anagha Kulkarni, Ted Pedersen
SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts. ACL (2005)
Anagha Kulkarni, Ted Pedersen
Name Discrimination and Email Clustering using Unsupervised Clustering and Labeling of Similar Contexts. IICAI (2005)
Ted Pedersen, Amruta Purandare, Anagha Kulkarni
Name Discrimination by Clustering Similar Contexts. CICLing (2005)
Ted Pedersen, Anagha Kulkarni
Identifying Similar Words and Contexts in Natural Language with SenseClusters. AAAI (2005)
Anagha Kulkarni
Unsupervised Discrimination and Labeling of Ambiguous Names. ACL (2005)