Petko Bogdanov

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 59

Top Topics

Dynamic Networks

Multivariate Time Series

Importance Sampling

Community Detection

Top Venues

Publications

Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov
Low Rank Multi-Dictionary Selection at Scale. KDD (2024)
Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov
Low Rank Multi-Dictionary Selection at Scale. CoRR (2024)
Maxwell McNeil, Carolina Mattsson, Frank W. Takes, Petko Bogdanov
CADENCE: Community-Aware Detection of Dynamic Network States. SDM (2023)
Boya Ma, Maxwell McNeil, Petko Bogdanov
GIST: Graph Inference for Structured Time Series. SDM (2023)
Qianli Yuan, Mila Gascó-Hernández, José Ramón Gil-García, Vaasu Taneja, Karyn Doke, Petko Bogdanov, Mariya Zheleva
Does Co-Creation Affect the Adoption of IT-Enabled Solutions? The Case of a Mobile Application for Emergency Preparedness. HICSS (2023)
Maxwell McNeil, Petko Bogdanov
Multi-Dictionary Tensor Decomposition. ICDM (2023)
Maxwell McNeil, Petko Bogdanov
Multi-Dictionary Tensor Decomposition. CoRR (2023)
Maxwell McNeil, Boya Ma, Petko Bogdanov
SAGA: Signal-Aware Graph Aggregation. SDM (2022)
Fariha Moomtaheen, Matthew Killeen, James Oswald, Anna Gonzàlez-Rosell, Peter Mastracco, Alexander Gorovits, Stacy M. Copp, Petko Bogdanov
DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders. KDD (2022)
Qianli Yuan, Karyn Doke, Mila Gascó-Hernández, José Ramón Gil-García, Mariya Zheleva, Petko Bogdanov
Understanding Drivers and Challenges of Multi-actor Collaborations at the Local Level. HICSS (2022)
Abram Magner, Carolyn S. Kaminski, Petko Bogdanov
Fast and Accurate Spreading Process Temporal Scale Estimation. Trans. Mach. Learn. Res. 2022 (2022)
Wei Xiong, Lin Zhang, Maxwell McNeil, Petko Bogdanov, Mariya Zheleva
$\mathtt {{SYMMeTRy}}$SYMMeTRy : Exploiting MIMO Self-Similarity for Under-Determined Modulation Recognition. IEEE Trans. Mob. Comput. 21 (11) (2022)
Lin Zhang, Nicholas Moskwa, Melinda Larsen, Petko Bogdanov
Unsupervised Instance and Subnetwork Selection for Network Data. CoRR (2022)
Lin Zhang, Nicholas Moskwa, Melinda Larsen, Petko Bogdanov
Unsupervised Instance and Subnetwork Selection for Network Data. DSAA (2022)
Maxwell McNeil, Lin Zhang, Petko Bogdanov
Temporal Graph Signal Decomposition. CoRR (2021)
Karyn Doke, Habib O. Affinnih, Qianli Yuan, Mila Gascó-Hernández, José Ramón Gil-García, Petko Bogdanov, Mariya Zheleva
Improving Emergency Preparedness and Response in Rural Areas. COMPASS (2021)
Qianli Yuan, Yenisel Gulatee, Mila Gascó-Hernández, Mariya Zheleva, Petko Bogdanov, José Ramón Gil-García
Understanding the Determinants of Adoption and Use of Information and Communication Technologies for Emergency Management: Proposing a Research Agenda based on Existing Academic Literature. HICSS (2021)
Alexander Gorovits, Karyn Doke, Lin Zhang, Mariya Zheleva, Petko Bogdanov
CORE: Connectivity Optimization via REinforcement Learning in WANETs. SECON (2021)
Lin Zhang, Wenyu Zhang, Maxwell J. McNeil, Nachuan Chengwang, David S. Matteson, Petko Bogdanov
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. Data Min. Knowl. Discov. 35 (5) (2021)
Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov
Mining Bursty Groups from Interaction Data. CIKM (2021)
Maxwell J. McNeil, Lin Zhang, Petko Bogdanov
Temporal Graph Signal Decomposition. KDD (2021)
Wei Xiong, Petko Bogdanov, Mariya Zheleva
MODELESS: MODulation rEcognition with LimitEd SuperviSion. SECON (2021)
Abram Magner, Carolyn S. Kaminski, Petko Bogdanov
Temporal Scale Estimation for Oversampled Network Cascades: Theory, Algorithms, and Experiment. CoRR (2021)
Wei Xiong, Lin Zhang, Maxwell McNeil, Petko Bogdanov, Mariya Zheleva
Fractals in the Air: Under-determined modulation recognition for MIMO communication. INFOCOM Workshops (2020)
Lin Zhang, Alexander Gorovits, Wenyu Zhang, Petko Bogdanov
Learning Periods from Incomplete Multivariate Time Series. ICDM (2020)
Wei Xiong, Lin Zhang, Maxwell McNeil, Petko Bogdanov, Mariya Zheleva
Exploiting Self-Similarity for Under-Determined MIMO Modulation Recognition. INFOCOM (2020)
Wei Xiong, Karyn Doke, Petko Bogdanov, Mariya Zheleva
LinksIQ: Robust and Efficient Modulation Recognition with Imperfect Spectrum Scans. CoRR (2020)
Lin Zhang, Petko Bogdanov
Period Estimation For Incomplete Time Series. DSAA (2020)
Wei Xiong, Petko Bogdanov, Mariya Zheleva
Towards scalable zero-shot modulation recognition. VTC Fall (2020)
Karyn Doke, Qianli Yuan, Mila Gascó-Hernández, Megan K. Sutherland-Mitzner, José Ramón Gil-García, Petko Bogdanov, Mariya Zheleva
Supporting Resilience in Rural Emergency Preparedness and Response Through Improved Information Access. GetMobile Mob. Comput. Commun. 24 (2) (2020)
Victor Amelkin, Petko Bogdanov, Ambuj K. Singh
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. ACM Trans. Knowl. Discov. Data 13 (4) (2019)
Wei Xiong, Petko Bogdanov, Mariya Zheleva
Robust and Efficient Modulation Recognition Based on Local Sequential IQ Features. INFOCOM (2019)
Mila Gascó-Hernández, Mariya Zheleva, Petko Bogdanov, José Ramón Gil-García
Towards a Socio-Technical Framework for Bridging the Digital Divide in Rural Emergency Preparedness and Response: Integrating User Adoption, Heterogeneous Wide-Area Networks, and Advanced Data Science. DG.O (2019)
Karyn Doke, Nachuan Chengwang, Andrew Boggio-Dandry, Petko Bogdanov, Mariya Zheleva
Demo: EApp: Improving Rural Emergency Preparedness and Response. S3@MobiCom (2019)
Lin Zhang, Petko Bogdanov
DSL: Discriminative Subgraph Learning via Sparse Self-Representation. SDM (2019)
Daniel J. DiTursi, Carolyn S. Kaminski, Petko Bogdanov
Optimal Timelines for Network Processes. ICDM (2019)
Lin Zhang, Alexander Gorovits, Petko Bogdanov
PERCeIDs: PERiodic CommunIty Detection. ICDM (2019)
Karyn Doke, Nachuan Chengwang, Andrew Boggio-Dandry, Petko Bogdanov, Mariya Zheleva
DEMO: EApp: Improving Rural Emergency Preparedness and Response. MobiCom (2019)
Lin Zhang, Petko Bogdanov
DSL: Discriminative Subgraph Learning via Sparse Self-Representation. CoRR (2019)
Mariya Zheleva, Timothy LaRock, Paul Schmitt, Petko Bogdanov
AirPress: High-accuracy spectrum summarization using compressed scans. DySPAN (2018)
Aparna Joshi, Yu Zhang, Petko Bogdanov, Jeong-Hyon Hwang
An Efficient System for Subgraph Discovery. CoRR (2018)
Mariya Zheleva, Timothy LaRock, Paul Schmitt, Petko Bogdanov
Efficient spectrum summarization using compressed spectrum scans. INFOCOM Workshops (2018)
Aparna Joshi, Yu Zhang, Petko Bogdanov, Jeong-Hyon Hwang
An Efficient System for Subgraph Discovery. IEEE BigData (2018)
Mariya Zheleva, Petko Bogdanov, Timothy LaRock, Paul Schmitt
AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing. INFOCOM (2018)
Alexander Gorovits, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov
LARC: Learning Activity-Regularized Overlapping Communities Across Time. KDD (2018)
Sourav Medya, Petko Bogdanov, Ambuj K. Singh
Making a Small World Smaller: Path Optimization in Networks. IEEE Trans. Knowl. Data Eng. 30 (8) (2018)
Mariya Zheleva, Petko Bogdanov, Timothy LaRock, Paul Schmitt
AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing. INFOCOM Workshops (2018)
Mariya Zheleva, Petko Bogdanov, Daphney-Stavroula Zois, Wei Xiong, Ranveer Chandra, Mark Kimball
Smallholder Agriculture in the Information Age: Limits and Opportunities. LIMITS (2017)
Victor Amelkin, Petko Bogdanov, Ambuj K. Singh
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. ICDE (2017)
Daniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov
Local Community Detection in Dynamic Networks. CoRR (2017)
Daniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov
Local Community Detection in Dynamic Networks. ICDM (2017)
Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov
Network Clocks: Detecting the Temporal Scale of Information Diffusion. ICDM (2017)
Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov
Network Clocks: Detecting the Temporal Scale of Information Diffusion. CoRR (2017)
Sourav Medya, Petko Bogdanov, Ambuj K. Singh
Towards Scalable Network Delay Minimization. ICDM (2016)
Sourav Medya, Petko Bogdanov, Ambuj K. Singh
Towards Scalable Network Delay Minimization. CoRR (2016)
Arlei Silva, Petko Bogdanov, Ambuj K. Singh
Hierarchical in-network attribute compression via importance sampling. ICDE (2015)
Xuan-Hong Dang, Hongyuan You, Petko Bogdanov, Ambuj K. Singh
Learning Predictive Substructures with Regularization for Network Data. ICDM (2015)
Victor Amelkin, Ambuj K. Singh, Petko Bogdanov
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. CoRR (2015)
Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu
Discriminative Subnetworks with Regularized Spectral Learning for Global-state Network Data. CoRR (2015)
Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, Boleslaw K. Szymanski
Modeling individual topic-specific behavior and influence backbone networks in social media. Soc. Netw. Anal. Min. 4 (1) (2014)
Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu
Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data. ECML/PKDD (1) (2014)
Petko Bogdanov, Ben Baumer, Prithwish Basu, Amotz Bar-Noy, Ambuj K. Singh
As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs. ECML/PKDD (1) (2013)
Petko Bogdanov, Christos Faloutsos, Misael Mongiovì, Evangelos E. Papalexakis, Razvan Ranca, Ambuj K. Singh
NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks. SDM (2013)
Misael Mongiovì, Petko Bogdanov, Ambuj K. Singh
Mining Evolving Network Processes. ICDM (2013)
Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, Boleslaw K. Szymanski
The social media genome: modeling individual topic-specific behavior in social media. ASONAM (2013)
Kathy Macropol, Petko Bogdanov, Ambuj K. Singh, Linda R. Petzold, Xifeng Yan
I act, therefore I judge: network sentiment dynamics based on user activity change. ASONAM (2013)
Petko Bogdanov, Ambuj K. Singh
Accurate and scalable nearest neighbors in large networks based on effective importance. CIKM (2013)
Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, Boleslaw K. Szymanski
The Social Media Genome: Modeling Individual Topic-Specific Behavior in Social Media. CoRR (2013)
Misael Mongiovì, Petko Bogdanov, Razvan Ranca, Ambuj K. Singh, Evangelos E. Papalexakis, Christos Faloutsos
SigSpot: mining significant anomalous regions from time-evolving networks (abstract only). SIGMOD Conference (2012)
Petko Bogdanov, Misael Mongiovì, Ambuj K. Singh
Mining Heavy Subgraphs in Time-Evolving Networks. ICDM (2011)
Petko Bogdanov, Ambuj K. Singh
Molecular Function Prediction Using Neighborhood Features. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (2) (2010)
Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Singh
Towards Community Discovery in Signed Collaborative Interaction Networks. ICDM Workshops (2010)