Parag Mallick - RankMe

18 papers A* 2B 2Misc 3Journal 7Unranked 4

Year	Rank	Type	Title / 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