Other Topics

[Youssef et al., 2024]
 
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Ahmed Youssef, Indranil Paul, Mark Crovella and Andrew Emili (2024).
DESP: Demixing Cell State Profiles from Dynamic Bulk Molecular Measurements.
In: Cell Reports Methods, . doi:10.1016/j.crmeth.2024.100729
[Franco et al., 2023]
 
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Gabriel Franco, Giovanni Comarela and Mark Crovella (2023).
Evaluating LLP Methods: Challenges and Approaches.
Technical Report Nr. arXiv:2310.19065. doi:10.48550/arXiv.2310.19065
[Canetti et al., 2023]
 
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Ran Canetti, Aloni Cohen, Chris Conley, Mark Crovella, Stacey L. Dogan, Marco Gaboardi, Woodrow Hartzog, Rory Van Loo, Christopher T. Robertson, Katharine Baird Silbaugh (2023).
National Telecommunications and Information Administration: Comments from Researchers at Boston University and the University of Chicago.
Technical Report Nr. Boston Univ. School of Law Research Paper No. 23-24.
[Kewalramani et al., 2023]
 
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Neal Kewalramani, Andrew Emili and Mark Crovella (2023).
State-of-the-Art Computational Methods to Predict Protein-Protein Interactions with High Accuracy and Coverage.
In: Proteomics, (e2200292). doi:10.1002/pmic.202200292
[Franco et al., 2023]
 
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Gabriel Franco, Mark Crovella and Giovanni Comarela (2023).
Dependence and Model Selection in LLP: The Problem of Variants.
In: Proceedings of KDD. Los Angeles, CA. doi:10.1145/3580305.3599307
[Youssef et al., 2023]
 
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Ahmed Youssef, Fei Bian, Pierre Havugimana, Mark Crovella and Andrew Emili (2023).
Dynamic Remodeling of Escherichia coli Interactome in Response to Environmental Perturbations.
In: Proteomics, . doi:10.1002/pmic.202200404
[Youssef et al., 2023]
 
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Ahmed Youssef, Indranil Paul, Mark Crovella and Andrew Emili (2023).
DESP: Demixing Cell State Profiles from Dynamic Bulk Molecular Measurements.
In: bioRxiv, . doi:10.1101/2023.01.19.524460
[Quinn et al., 2022]
 
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Kevin Quinn, Evimaria Terzi and Mark Crovella (2022).
Characterizing Covid Waves via Spatio-Temporal Decomposition.
In: Proceedings of KDD. Washington, DC. doi:10.1145/3534678.3539136
[Jung et al., 2022]
 
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J. Jung, M. Guo, M. Crovella, J. G. McDaniel, K. M. Warkentin (2022).
Frog embryos use multiple levels of temporal pattern in risk assessment for vibration-cued hatching.
In: Animal Cognition, . doi:10.1007/s10071-022-01634-4
[Law et al., 2021]
 
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Jeffrey N. Law, Kyle Akers, Nure Tasnina, Catherine M. Della-Santina, Shay Deutsch, Meghana Kshirsagar, Judith Klein-Seetharaman, Mark Crovella, Padmavathy Rajagopalan, Simon Kasif, T. M. Murali (2021).
Interpretable Network Propagation with Application to Expanding the Repertoire of Human Proteins that Interact with SARS-CoV-2.
In: GigaScience, 10(12). doi:10.1093/gigascience/giab082
[Rastegarpanah et al., 2021]
 
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Bashir Rastegarpanah, Krishna P. Gummadi and Mark Crovella (2021).
Auditing Black-Box Prediction Models for Data Minimization Compliance.
In: Proceedings of NeurIPS. Online. Selected as a Spotlight Presentation (3% acceptance rate).
[Amichi et al., 2021]
 
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Licia Amichi, Aline Carneiro Viana, Mark Crovella, Antonio A. F. Loureiro (2021).
From Movement Purpose to Perceptive Spatial Mobility Prediction.
In: Proceedings of ACM SIGSPATIAL. Beijing, China. doi:10.1145/3474717.3484220
[Amichi et al., 2020]
 
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Licia Amichi, Aline Carneiro Viana, Mark Crovella, Antonio A. F. Loureiro (2020).
Understanding Individuals' Proclivity for Novelty Seeking.
In: Proceedings of ACM SIGSPATIAL. Seattle, WA. doi:10.1145/3397536.3422248
[Lancour et al., 2020]
 
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Dan Lancour, Josee Dupuis, Richard Mayeux, Jonathan Haines, Margaret Pericak-Vance, Gerard Schellenberg, Mark Crovella, Lindsay Farrer and Simon Kasif (2020).
Analysis of Brain Region-Specific Co-Expression Networks Reveals Clustering of Established and Novel Genes Associated with Alzheimer Disease.
In: Alzheimer's Research and Therapy, 12. doi:10.1186/s13195-020-00674-7
[Fan et al., 2020]
 
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Jason Fan, Xuan Cindy Li, Mark Crovella, Mark D. M. Leiserson (2020).
Matrix (Factorization) Reloaded: Flexible Methods for Imputing Genetic Interactions with Cross-Species and Side Information.
In: Proceedings of the 19th European Conference on Computational Biology. Online. Also appears in OUP Bioinformatics Special Issue, 2020. doi:10.1093/bioinformatics/btaa818
[Law et al., 2020]
 
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Jeffrey N. Law, Nure Tasnina, Meghana Kshirsagar, Judith Klein-Seetharaman, Mark Crovella, Padmavathy Rajagopalan, Simon Kasif, T. M. Murali (2020).
Identifying Human Interactors of SARS-CoV-2 Proteins and Drug Targets for COVID-19 using Network-Based Label Propagation.
Technical Report Nr. arXiv:2006.01968.
[Rastegarpanah et al., 2020]
 
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Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi (2020).
Fair Inputs and Fair Outputs: the Incompatibility of Fairness in Privacy and Accuracy.
In: Proceedings of the Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP). Online. doi:10.1145/3386392.3399568
[Spinelli and Crovella, 2020]
 
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Larissa Spinelli and Mark Crovella (2020).
How YouTube Leads Privacy-Seeking Users Away from Reliable Information.
In: Proceedings of the Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP). Online. doi:10.1145/3386392.3399566
[Ramirez et al., 2020]
 
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Alfred Ramirez, Simon Dankel, Bashir Rastegarpanah, Weikang Cai, Ruidan Xue, Mark Crovella, Yu-Hua Tseng, C. Ronald Kahn and Simon Kasif (2020).
Single-Cell Transcriptional Networks in Differentiating Preadipocytes Suggest Drivers Associated with Tissue Heterogeneity.
In: Nature Communications, 11. doi:10.1038/s41467-020-16019-9
[Fan et al., 2019]
 
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Jason Fan, Anthony Cannistra, Inbar Fried, Tim Lim, Thomas Schaffner, Mark Crovella, Benjamin Hescott, Mark D. M. Leiserson (2019).
Functional Protein Representations from Biological Networks Enable Diverse Cross-Species Inference.
In: Nucleic Acids Research, 47(9). doi:10.1186/s13195-020-00674-7
[Rastegarpanah et al., 2019]
 
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Bashir Rastegarpanah, Krishna P. Gummadi and Mark Crovella (2019).
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems.
In: Proceedings of WSDM. Melbourne, Australia. doi:10.1145/3289600.3291002
[Scouarnec et al., 2018]
 
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Nicolas Le Scouarnec, Jean Bolot, Brian Eriksson, Sebastien Lasserre, Mark Crovella, Meinolf Blawat, Klaus Gaedke, Jens Peter Wittenburg, Christophe Diot and Martin May (2018).
Methods for storing and reading digital data on a set of DNA strands.
US Patent Number 10,027,347, issued July 17, 2018.
[Comarela et al., 2018]
 
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Giovanni Comarela, Ramakrishnan Durairajan, Paul Barford, Dino Christenson and Mark Crovella (2018).
Assessing Candidate Preference through Web Browsing History.
In: Proceedings of ACM KDD 2018. London, UK. doi:10.1145/3219819.3219884
[Spinelli and Crovella, 2018]
 
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Larissa Spinelli and Mark Crovella (2018).
Unravelling the Dynamics of Online Ratings.
In: Proceedings of the 4th International Symposium on Social Media Mining and Analysis (SMMA 2018). Exeter, UK. doi:10.1109/HPCC/SmartCity/DSS.2018.00191
[Lancour et al., 2018]
 
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Daniel Lancour, Adam Naj, Richard Mayeux, Jonathan L. Haines, Margaret A. Pericak-Vance, Gerard C. Schellenberg, Mark Crovella, Lindsay A. Farrer and Simon Kasif (2018).
One for all and all for One: Improving replication of genetic studies through network diffusion.
In: PLoS Genetics, 14(4):1--20. doi:10.1371/journal.pgen.1007306
[Leiserson et al., 2018]
 
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Mark D. M. Leiserson, Jason Fan, Anthony Cannistra, Inbar Fried, Tim Lim, Thomas Schaffner, Mark Crovella and Benjamin Hescott (2018).
A Multi-Species Functional Embedding Integrating Sequence and Network Structure.
In: Proceedings of RECOMB: Lecture Notes in Bioinformatics. Volume 10812. Paris, France. Published by Springer. Code and demo for this method are available at links below. doi:10.1007/978-3-319-89929-9
[Leiserson et al., 2017]
 
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Mark D. M. Leiserson, Jason Fan, Anthony Cannistra, Inbar Fried, Tim Lim, Thomas Schaffner, Mark Crovella and Benjamin Hescott (2017).
A Multi-Species Functional Embedding Integrating Sequence and Network Structure.
Technical Report. bioRxiv. Code and demo for this method are available at links below. doi:10.1101/229211
[Rastegarpanah et al., 2017]
 
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Bashir Rastegarpanah, Mark Crovella and Krishna Gummadi (2017).
Exploring Explanations for Matrix Factorization Recommender Systems (Position Paper).
In: Proceedings of the FATREC Workshop on Responsible Recommendation. Como, Italy. Code and demo for this method is available at links below. doi:10.18122/B2R717
[Spinelli and Crovella, 2017]
 
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Larissa Spinelli and Mark Crovella (2017).
Closed-Loop Opinion Formation.
In: Proceedings of the 9th International ACM Web Science Conference (WebSci). Troy, NY. doi:10.1145/3091478.3091483
[Ruchansky et al., 2017]
 
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Natali Ruchansky, Evimaria Terzi and Mark Crovella (2017).
Targeted Matrix Completion.
In: Proceedings of the SIAM International Conference on Data Mining (SDM). Houston, TX. doi:10.1137/1.9781611974973.29
[Mavroforakis et al., 2017]
 
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Charalampos Mavroforakis, Dora Erdös, Mark Crovella and Evimari Terzi (2017).
Active Positive-Definite Matrix Completion.
In: Proceedings of the SIAM International Conference on Data Mining (SDM). Houston, TX. doi:10.1137/1.9781611974973.30
[Ruchansky et al., 2015]
 
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Natali Ruchansky, Mark Crovella and Evimaria Terzi (2015).
Matrix Completion with Queries.
In: Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Sydney, Australia. doi:10.1145/2783258.2783259
[Crovella and Lakhina, 2014]
 
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Mark Crovella and Anukool Lakhina (2014).
Method and Apparatus for Whole-Network Anomaly Diagnosis and Method to Detect and Classify Network Anomalies Using Traffic Feature Distributions.
US Patent Number 8,869,276, issued October 21, 2014.
[Cao et al., 2013]
 
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Mengfei Cao, Hao Zhang, Jisoo Park, Noah Daniels, Mark Crovella, Lenore Cowen and Benjamin Hescott (2013).
Going the Distance for Protein Function Prediction: A New Distance Metric for Protein Interaction Networks.
In: PLOS One, 8(10):e76339. doi:10.1371/journal.pone.0076339
[Ketkar et al., 2013]
 
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Nikhil Shirish Ketkar, Gaurav Mishra, Jaskaran Singh Bawa and Mark Crovella (2013).
Compressed set representation for sets as measures in OLAP cubes.
US Patent Number 8,533,167, issued September 10, 2013.
[Lappas et al., 2012]
 
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Theodoros Lappas, Mark Crovella and Evimari Terzi (2012).
Selecting a Characteristic Set of Reviews.
In: Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2012. Beijing, China. doi:10.1145/2339530.2339663
[Eriksson and Crovella, 2012]
 
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Brian Eriksson and Mark Crovella (2012).
Estimating Intrinsic Dimension via Clustering.
In: IEEE Statistical Signal Processing Workshop (SSP). Ann Arbor, MI. Code for this method is included in the R package ider available from CRAN.
[Basani et al., 2010]
 
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Vijay Basani, Krishna Mangipudi, Lynne Murach, Leroy Karge, Vitaly Revsin, Azer Bestavros, Mark Crovella and Domenic LaRosa (2010).
Method and Apparatus for Dynamic Resource Discovery and Information Distribution in a Data Network.
US Patent Number 7,747,741, issued June 29, 2010.
[Basani et al., 2008]
 
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Vijay Basani, Krishna Mangipudi, Lynne Murach, Leroy Karge, Vitaly Revsin, Azer Bestavros, Mark Crovella and Domenic LaRosa (2008).
System for Creating and Distributing Prioritized List of Computer Nodes Selected as Participants in a Distribution Job.
US Patent Number 7,346,682, issued March 18, 2008.
[Basani et al., 2006]
 
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Vijay Basani, Krishna Mangipudi, Lynne Murach, Leroy Karge, Vitaly Revsin, Azer Bestavros, Mark Crovella and Domenic LaRosa (2006).
Method and Apparatus for Election of Group Leaders in a Distributed Network.
US Patent Number 6,993,587, issued January 31, 2006.
[Basani et al., 2004]
 
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Vijay Basani, Krishna Mangipudi, Lynne Murach, Leroy Karge, Vitaly Revsin, Azer Bestavros, Mark Crovella and Domenic LaRosa (2004).
Method and Apparatus for Scalable Distribution of Information in a Distributed Network.
US Patent Number 6,748,447, issued June 8, 2004.
[Basani et al., 2004]
 
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Vijay Basani, Krishna Mangipudi, Lynne Murach, Leroy Karge, Vitaly Revsin, Azer Bestavros, Mark Crovella and Domenic LaRosa (2004).
Method and Apparatus for Reliable and Scalable Distribution of Data Files in Distributed Networks.
US Patent Number 6,718,361, issued April 6, 2004.
[Bestavros and Crovella, 2002]
 
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Azer Bestavros and Mark Crovella (2002).
Distributed Routing.
US Patent Number 6,370,584, issued April 9, 2002.
[Harchol-Balter and Crovella, 2001]
 
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Mor Harchol-Balter, Mark E. Crovella (2001).
Method and Apparatus for Assigning Tasks in a Distributed Server System.
US Patent Number 6,223,205, issued April 2001.