Petko Bogdanov

According to our database1, Petko Bogdanov authored at least 38 papers between 2010 and 2020.

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Bibliography

2020
Supporting Resilience in Rural Emergency Preparedness and Response Through Improved Information Access.
GetMobile Mob. Comput. Commun., 2020

LinksIQ: Robust and Efficient Modulation Recognition with Imperfect Spectrum Scans.
CoRR, 2020

Exploiting Self-Similarity for Under-Determined MIMO Modulation Recognition.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Fractals in the Air: Under-determined modulation recognition for MIMO communication.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Period Estimation For Incomplete Time Series.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks.
ACM Trans. Knowl. Discov. Data, 2019

DSL: Discriminative Subgraph Learning via Sparse Self-Representation.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Demo: EApp: Improving Rural Emergency Preparedness and Response.
Proceedings of the 11th on Wireless of the Students, 2019

Robust and Efficient Modulation Recognition Based on Local Sequential IQ Features.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

PERCeIDs: PERiodic CommunIty Detection.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Optimal Timelines for Network Processes.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

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.
Proceedings of the 20th Annual International Conference on Digital Government Research, 2019

2018
Collection and Analysis of Relational Data from Digital Archives.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Making a Small World Smaller: Path Optimization in Networks.
IEEE Trans. Knowl. Data Eng., 2018

LARC: Learning Activity-Regularized Overlapping Communities Across Time.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Efficient spectrum summarization using compressed spectrum scans.
Proceedings of the IEEE INFOCOM 2018, 2018

AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

AirPress: High-accuracy spectrum summarization using compressed scans.
Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018

An Efficient System for Subgraph Discovery.
Proceedings of the IEEE International Conference on Big Data, 2018

2017
Smallholder Agriculture in the Information Age: Limits and Opportunities.
Proceedings of the 2017 Workshop on Computing Within Limits, 2017

Network Clocks: Detecting the Temporal Scale of Information Diffusion.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Local Community Detection in Dynamic Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Towards Scalable Network Delay Minimization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
Learning Predictive Substructures with Regularization for Network Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Hierarchical in-network attribute compression via importance sampling.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
Collection and Analysis of Relational Data from Digital Archives.
Encyclopedia of Social Network Analysis and Mining, 2014

Modeling individual topic-specific behavior and influence backbone networks in social media.
Soc. Netw. Anal. Min., 2014

Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Mining Evolving Network Processes.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Accurate and scalable nearest neighbors in large networks based on effective importance.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

I act, therefore I judge: network sentiment dynamics based on user activity change.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

The social media genome: modeling individual topic-specific behavior in social media.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
SigSpot: mining significant anomalous regions from time-evolving networks (abstract only).
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

2011
Mining Heavy Subgraphs in Time-Evolving Networks.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Molecular Function Prediction Using Neighborhood Features.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010

Towards Community Discovery in Signed Collaborative Interaction Networks.
Proceedings of the ICDMW 2010, 2010


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