Petko Bogdanov

Orcid: 0000-0001-6310-3224

According to our database1, Petko Bogdanov authored at least 61 papers between 2010 and 2024.

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Bibliography

2024
WideRate: Reinforcement Learning Rate Adaptation for Mobile Wide Area Networks.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Low Rank Multi-Dictionary Selection at Scale.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
CADENCE: Community-Aware Detection of Dynamic Network States.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

GIST: Graph Inference for Structured Time Series.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Multi-Dictionary Tensor Decomposition.
Proceedings of the IEEE International Conference on Data Mining, 2023

Does Co-Creation Affect the Adoption of IT-Enabled Solutions? The Case of a Mobile Application for Emergency Preparedness.
Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022
Modulation Recognition IQ Samples Across Heterogeneous Sensors.
Dataset, November, 2022

Fast and Accurate Spreading Process Temporal Scale Estimation.
Trans. Mach. Learn. Res., 2022

$\mathtt {{SYMMeTRy}}$SYMMeTRy : Exploiting MIMO Self-Similarity for Under-Determined Modulation Recognition.
IEEE Trans. Mob. Comput., 2022

SAGA: Signal-Aware Graph Aggregation.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Understanding Drivers and Challenges of Multi-actor Collaborations at the Local Level.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Unsupervised Instance and Subnetwork Selection for Network Data.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series.
Data Min. Knowl. Discov., 2021

Temporal Scale Estimation for Oversampled Network Cascades: Theory, Algorithms, and Experiment.
CoRR, 2021

CORE: Connectivity Optimization via REinforcement Learning in WANETs.
Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021

MODELESS: MODulation rEcognition with LimitEd SuperviSion.
Proceedings of the 18th Annual IEEE International Conference on Sensing, 2021

Temporal Graph Signal Decomposition.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Understanding the Determinants of Adoption and Use of Information and Communication Technologies for Emergency Management: Proposing a Research Agenda based on Existing Academic Literature.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Improving Emergency Preparedness and Response in Rural Areas.
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Mining Bursty Groups from Interaction Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Towards scalable zero-shot modulation recognition.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 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

Learning Periods from Incomplete Multivariate Time Series.
Proceedings of the 20th IEEE International Conference on Data Mining, 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 25th Annual International Conference on Mobile Computing and Networking, 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 (IEEE BigData 2018), 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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