Eric D. Kolaczyk

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 14

Top Topics

Epileptic Seizures

Dynamic Networks

Random Sampling

Branching Factor

Top Venues

PLoS Comput. Biol.

J. Appl. Probab.

Publications

Hancong Pan, Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson, Konstantinos Spiliopoulos, Dylan Walker, Eric D. Kolaczyk
Stochastic gradient descent-based inference for dynamic network models with attractors. CoRR (2024)
Shurong Lin, Mark Bun, Marco Gaboardi, Eric D. Kolaczyk, Adam Smith
Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling. CoRR (2023)
Shurong Lin, Elliot Paquette, Eric D. Kolaczyk
Differentially Private Linear Regression with Linked Data. CoRR (2023)
Xiaojing Zhu, Heather Shappell, Mark A. Kramer, Catherine Jean Chu, Eric D. Kolaczyk
Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures. PLoS Comput. Biol. 19 (6) (2023)
Wenrui Li, Daniel L. Sussman, Eric D. Kolaczyk
Estimation of the Branching Factor in Noisy Networks. IEEE Trans. Netw. Sci. Eng. 10 (1) (2023)
Andrew Piper, Hao Xu, Eric D. Kolaczyk
Modeling Narrative Revelation. CHR (2023)
Zhenwei Zhou, Eric D. Kolaczyk, Robin N. Thompson, Laura F. White
Estimation of heterogeneous instantaneous reproduction numbers with application to characterize SARS-CoV-2 transmission in Massachusetts counties. PLoS Comput. Biol. 18 (9) (2022)
Jun Li, Juliane Manitz, Enrico Bertuzzo, Eric D. Kolaczyk
Sensor-based localization of epidemic sources on human mobility networks. PLoS Comput. Biol. 17 (1) (2021)
Nathaniel Josephs, Wenrui Li, Eric D. Kolaczyk
Network Recovery from Unlabeled Noisy Samples. ACSCC (2021)
Heather Shappell, Yorghos Tripodis, Ronald J. Killiany, Eric D. Kolaczyk
A paradigm for longitudinal complex network analysis over patient cohorts in neuroscience. Netw. Sci. 7 (2) (2019)
Han Liang Gan, Eric D. Kolaczyk
Approximation of the difference of two Poisson-like counts by Skellam. J. Appl. Probab. 55 (2) (2018)
Xinyu Kang, Piotr Fryzlewicz, Catherine Chu, Mark Kramer, Eric D. Kolaczyk
Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience. ACSSC (2017)
Apratim Ganguly, Eric D. Kolaczyk
Estimation of vertex degrees in a sampled network. ACSSC (2017)
Prakash Balachandran, Eric D. Kolaczyk, Weston D. Viles
On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks. J. Mach. Learn. Res. 18 (2017)
Qawi K. Telesford, Sean L. Simpson, Eric D. Kolaczyk
Editorial: Complexity and emergence in brain network analyses. Frontiers Comput. Neurosci. 9 (2015)
Lisa M. Christadore, Lisa Pham, Eric D. Kolaczyk, Scott E. Schaus
Improvement of experimental testing and network training conditions with genome-wide microarrays for more accurate predictions of drug gene targets. BMC Syst. Biol. 8 (2014)
Yaonan Zhang, Theodoros Lappas, Mark Crovella, Eric D. Kolaczyk
Online ratings: Convergence towards a positive perspective? ICASSP (2014)
Chen Lu, Jeanne Latourelle, George T. O'Connor, Josée Dupuis, Eric D. Kolaczyk
Network-guided sparse regression modeling for detection of gene-by-gene interactions. Bioinform. 29 (10) (2013)
Shu Yang, Lisa Pham, Lisa M. Christadore, Scott E. Schaus, Eric D. Kolaczyk
Multiscale gene sets from protein interaction networks. GlobalSIP (2013)
Qi Ding, Eric D. Kolaczyk
A Compressed PCA Subspace Method for Anomaly Detection in High-Dimensional Data. IEEE Trans. Inf. Theory 59 (11) (2013)
Qi Ding, Natallia Katenka, Paul Barford, Eric D. Kolaczyk, Mark Crovella
Intrusion as (anti)social communication: characterization and detection. KDD (2012)
Natallia Katenka, Eric D. Kolaczyk
Multi-Attribute Networks and the Impact of Partial Information on Inference and Characterization CoRR (2011)
Shu Yang, Eric D. Kolaczyk
Target detection via network filtering. IEEE Trans. Inf. Theory 56 (5) (2010)
Elissa J. Cosgrove, Timothy S. Gardner, Eric D. Kolaczyk
On the Choice and Number of Microarrays for Transcriptional Regulatory Network Inference. BMC Bioinform. 11 (2010)
Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal
Context inclusive function evaluation: a case study with EM-based multi-scale multi-granular image classification. Knowl. Inf. Syst. 21 (2) (2009)
Eric D. Kolaczyk, David B. Chua, Marc Barthelemy
Group betweenness and co-betweenness: Inter-related notions of coalition centrality. Soc. Networks 31 (3) (2009)
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon Kasif, David Gold, Eric D. Kolaczyk
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction. BIBM (2008)
Elissa J. Cosgrove, Yingchun Zhou, Timothy S. Gardner, Eric D. Kolaczyk
Predicting gene targets of perturbations via network-based filtering of mRNA expression compendia. Bioinform. 24 (21) (2008)
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon Kasif, Eric D. Kolaczyk
Integration of relational and hierarchical network information for protein function prediction. BMC Bioinform. 9 (2008)
Parminder Chhabra, Clayton D. Scott, Eric D. Kolaczyk, Mark Crovella
Distributed Spatial Anomaly Detection. INFOCOM (2008)
Eric D. Kolaczyk, David B. Chua, Marc Barthelemy
Co-Betweenness: A Pairwise Notion of Centrality CoRR (2007)
Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal
Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract. ICDM Workshops (2006)
David B. Chua, Eric D. Kolaczyk, Mark Crovella
Network Kriging. IEEE J. Sel. Areas Commun. 24 (12) (2006)
David B. Chua, Eric D. Kolaczyk, Mark Crovella
Network Kriging CoRR (2005)
Fabien Viger, Alain Barrat, Luca Dall'Asta, Cun-Hui Zhang, Eric D. Kolaczyk
Network Inference from TraceRoute Measurements: Internet Topology 'Species' CoRR (2005)
David B. Chua, Eric D. Kolaczyk, Mark Crovella
A statistical framework for efficient monitoring of end-to-end network properties. SIGMETRICS (2005)
David B. Chua, Eric D. Kolaczyk, Mark Crovella
Efficient monitoring of end-to-end network properties. INFOCOM (2005)
Anukool Lakhina, Konstantina Papagiannaki, Mark Crovella, Christophe Diot, Eric D. Kolaczyk, Nina Taft
Structural analysis of network traffic flows. SIGMETRICS (2004)
David B. Chua, Eric D. Kolaczyk, Mark Crovella
A Statistical Framework for Efficient Monitoring of End-to-End Network Properties CoRR (2004)
Eric D. Kolaczyk
On the use of prior and posterior information in the subpixel proportion problem. IEEE Trans. Geosci. Remote. Sens. 41 (11) (2003)
Mark Crovella, Eric D. Kolaczyk
Graph Wavelets for Spatial Traffic Analysis. INFOCOM (2003)
Robert D. Nowak, Eric D. Kolaczyk
A statistical multiscale framework for Poisson inverse problems. IEEE Trans. Inf. Theory 46 (5) (2000)
Robert D. Nowak, Eric D. Kolaczyk, David S. Lalush, Benjamin M. W. Tsui
Bayesian multiscale tomographic reconstruction. ICASSP (2000)
Robert D. Nowak, Eric D. Kolaczyk
A Bayesian multiscale framework for Poisson inverse problems. ICASSP (1999)