Parag Mallick

18 papers A* 2B 2Misc 3Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2024 A* conf
Prospector Heads: Generalized Feature Attribution for Large Models & Data.
ICML
Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick
2024 J jnl
Prospector Heads: Generalized Feature Attribution for Large Models & Data.
CoRR
Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher Ré, Parag Mallick
2023 J jnl
Deep learning-based automated pipeline for blood vessel detection and distribution analysis in multiplexed prostate cancer images.
Frontiers Bioinform.
Grigorios M. Karageorgos, Sanghee Cho, Elizabeth McDonough, Chrystal Chadwick, Soumya Ghose, Jonathan Owens, Kyeong Joo Jung, Raghu Machiraju, Robert West, James D. Brooks, Parag Mallick, Fiona Ginty
2022 — conf
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers and Their Explanations.
ECCV (12)
Gautam Machiraju, Sylvia K. Plevritis, Parag Mallick
2020 J jnl
ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network.
BMC Bioinform.
Michelle B. Atallah, Varun Tandon, Kamir J. Hiam, Hunter Boyce, Michelle Hori, Waleed Atallah, Matthew H. Spitzer, Edgar Engleman, Parag Mallick
2020 Misc conf
PTR Explorer: An approach to identify and explore Post Transcriptional Regulatory mechanisms usingproteogenomics.
PSB
Arunima Srivastava, Michael F. Sharpnack, Kun Huang, Parag Mallick, Raghu Machiraju
2019 — conf
Geostatistical visualization of ecological interactions in tumors.
BIBM
Hunter Boyce, Parag Mallick
2019 Misc conf
Semantic workflows for benchmark challenges: Enhancing comparability, reusability and reproducibility.
PSB
Arunima Srivastava, Ravali Adusumilli, Hunter Boyce, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Thomas Yu, Raghu Machiraju, Yolanda Gil, Parag Mallick
2018 J jnl
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks.
J. Comput. Biol.
Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek
2018 Misc conf
Building trans-omics evidence: using imaging and 'omics' to characterize cancer profiles.
PSB
Arunima Srivastava, Chaitanya Kulkarni, Parag Mallick, Kun Huang, Raghu Machiraju
2017 B conf
A Bayesian Active Learning Experimental Design for Inferring Signaling Networks.
RECOMB
Robert Osazuwa Ness, Karen Sachs, Parag Mallick, Olga Vitek
2017 — conf
Improving Publication and Reproducibility of Computational Experiments through Workflow Abstractions.
K-CAP Workshops
Yolanda Gil, Daniel Garijo, Margaret Knoblock, Alyssa Deng, Ravali Adusumilli, Varun Ratnakar, Parag Mallick
2017 A* conf
Towards Continuous Scientific Data Analysis and Hypothesis Evolution.
AAAI
Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick
2012 B conf
Semi-automatically Mapping Structured Sources into the Semantic Web.
ESWC
Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite, Aman Goel, Shubham Gupta, Kristina Lerman, Maria Muslea, Mohsen Taheriyan, Parag Mallick
2011 — conf
Interactively Mapping Data Sources into the Semantic Web.
LISC
Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite, Shubham Gupta, Aman Goel, Maria Muslea, Kristina Lerman, Parag Mallick
2008 J jnl
ProteoWizard: open source software for rapid proteomics tools development.
Bioinform.
Darren Kessner, Matt Chambers, Robert Burke, David B. Agus, Parag Mallick
2006 J jnl
The PeptideAtlas project.
Nucleic Acids Res.
Frank Desiere, Eric W. Deutsch, Nichole L. King, Alexey I. Nesvizhskii, Parag Mallick, Jimmy K. Eng, Sharon Chen, James Eddes, Sandra N. Loevenich, Ruedi Aebersold
2005 J jnl
Finding Protein Domain Boundaries: An Automated, Non-Homology-Based Method.
IEEE Intell. Syst.
Brian M. Gurbaxani, Parag Mallick