2023
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Multi-Dictionary Tensor Decomposition.
Maxwell McNeil and Petko Bogdanov.
Proceedings of the IEEE International Conference on Data Mining (ICDM).
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CADENCE: Community-Aware Detection of Dynamic Network States.
Maxwell McNeil, Carolina Mattsson, Frank Takes, and Petko Bogdanov.
Proceedings of the SIAM International Conference on Data Mining (SDM).
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GIST: Graph Inference for Structured Time Series.
Boya Ma, Maxwell McNeil, and Petko Bogdanov.
Proceedings of the SIAM International Conference on Data Mining (SDM).
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Does Co-creation Affect the Adoption of IT-enabled Solutions? The Case of a Mobile Application for Emergency Preparedness.
Qianli Yuan, Mila Gasco-Hernandez, J Ramon Gil-Garcia, Vaasu Taneja, Karyn Doke, Petko Bogdanov, and Mariya Zheleva.
Proceedings of the 56th Hawaii International Conference on System Sciences.
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2022
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Unsupervised Instance and Subnetwork Selection for Network Data.
Lin Zhang, Nicholas Moskwa, Melinda Larsen, and Petko Bogdanov.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA).
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DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders.
Fariha Moomtaheen, Matthew Killeen, James Oswald, Anna Gonzalez-Rosell, Peter Mastracco, Alexander Gorovits, Stacy M. Copp, and Petko Bogdanov.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD).
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SAGA: Signal-Aware Graph Aggregation.
Maxwell McNeil, Boya Ma, and Petko Bogdanov.
Proceedings of SIAM International Conference on Data Mining (SDM).
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Chemistry-informed machine learning enables discovery of DNA-stabilized silver nanoclusters with near-infrared fluorescence.
Peter Mastracco, Anna Gonzalez-Rosell, Joshua Evans, Petko Bogdanov, and Stacy M Copp.
ACS nano 16(10).
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Fast and Accurate Spreading Process Temporal Scale Esti- mation.
Abram Magner, Carolyn Kaminski, and Petko Bogdanov.
Transactions on Machine Learning Research.
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Understanding Drivers and Challenges of Multi-actor Collaborations at the Local Level..
Qianli Yuan, Karyn Doke, Mila Gasco-Hernandez, Jose Ramon Gil-Garcia, Mariya Zheleva, and Petko Bogdanov.
HICSS.
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2021
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Mining Bursty Groups from Interaction Data.
Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos Papalexakis, and Petko Bogdanov.
Proceedings of the 30th ACM International Conference on Information & Knowledge Management.
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Temporal Graph Signal Decomposition.
Maxwell McNeil, Lin Zhang, and Petko Bogdanov.
ACM International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD 2021).
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CORE: Connectivity Optimization via REinforcement Learning in WANETs.
Alexander Gorovits, Karyn Doke, Lin Zhang, Mariya Zheleva, and Petko Bogdanov.
Proceedings of the IEEE International Conference on Sensing, Communication and Networking (SECON 2021).
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MODELESS: MODulation rEcognition with LimitEd SuperviSion.
Wei Xiong, Petko Bogdanov, and Mariya Zheleva.
Proceedings of the IEEE International Conference on Sensing, Communication and Networking (SECON 2021).
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SYMMeTRy: Exploiting MIMO Self-Similarity for Under-Determined Modulation Recognition.
Wei Xiong, Lin Zhang, Maxwel McNeil, Petko Bogdanov, and Mariya Zheleva.
IEEE Transactions on Mobile Computing (TMC).
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AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series..
Lin Zhang, Wenyu Zhang, Maxwell McNeil, Nachuan Chengwang, David Matteson, and Petko Bogdanov.
Data Mining and Knowledge Discovery (DAMI).
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Understanding the Determinants of Adoption and Use of Information and Communication Technologies for Emergency Management: Proposing a Research Agenda based on Existing Academic Literature.
Qianli Yuan, Yenisel Gulatee, Mila Gasco-Hernandez, Mariya Zheleva, Petko Bogdanov, and J. Ramon Gil-Garcia.
Hawaii International Conference on System Sciences 2021 (HICSS 2021).
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2020
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Supporting Resilience in Rural Emergency Preparedness and Response Through Improved Information Access.
Karyn Doke, Qianli Yuan, Mila Gasco-Hernandez, Megan Sutherland-Mitzer, J Ramon Gil-Garcia, Petko Bogdanov, and Mariya Zheleva.
GetMobile: Mobile Computing and Communications 24(2).
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Towards scalable zero-shot modulation recognition.
Wei Xiong, Petko Bogdanov, and Mariya Zheleva.
IEEE 91st Vehicular Technology Conference VTC 2020-Fall.
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Learning Periods from Incomplete Multivariate Time Series.
Lin Zhang, Alexander Gorovits, Wenyu Zhang, and Petko Bogdanov.
Proceedings of the 20th IEEE International Conference on Data Mining (ICDM).
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Period Estimation For Incomplete Time Series.
Lin Zhang and Petko Bogdanov.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA).
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LinksIQ: Robust and Efficient Modulation Recognition with Imperfect Spectrum Scans.
Wei Xiong, Karyn Doke, Petko Bogdanov, and Mariya Zheleva.
arXiv preprint arXiv:2005.04149.
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Exploiting Self-Similarity for Under-Determined MIMO Modulation Recognition.
Wei Xiong, Lin Zhang, Maxwel McNeil, Petko Bogdanov, and Mariya Zheleva.
IEEE International Conference on Computer Communications (IEEE INFOCOM 2020).
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2019
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PERCeIDs: Periodic community detection..
Lin Zhang, Alexander Gorovits, and Petko Bogdanov.
Proceedings of the IEEE International Conference on Data Mining (ICDM).
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Set Your Clock: Optimal timeline for network processes..
Daniel J DiTursi, Carolyn S Kaminski, and Petko Bogdanov.
Proceedings of the IEEE International Conference on Data Mining (ICDM).
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A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks.
Victor Amelkin, Petko Bogdanov, and Ambuj Singh.
ACM Transactions on Knowledge Discovery from Data (TKDD).
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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.
Mila Gasco-Hernandez, Mariya Zheleva, Petko Bogdanov, and J. Ramon Gil-Garcia.
Proceedings of the 20th Annual International Conference on Digital Government Research (dg.o 2019).
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DSL: Discriminative Subgraph Learning via Sparse Self-Representation.
Lin Zhang and Petko Bogdanov.
Proceedings of SIAM International Conference on Data Mining (SDM).
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Robust and Efficient Modulation Recognition Based on Local Sequential IQ Features.
Wei Xiong, Petko Bogdanov, and Mariya Zheleva.
IEEE International Conference on Computer Communications (IEEE INFOCOM 2019).
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2018
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Efficient spectrum summarization using compressed spectrum scans.
M. Zheleva, T. Larock, P. Schmitt, and P. Bogdanov.
IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
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An Efficient System for Subgraph Discovery.
Aparna Joshi, Yu Zhang, Petko Bogdanov, and Jeong-Hyon Hwang.
2018 IEEE International Conference on Big Data (Big Data).
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AirPress: High-accuracy spectrum summarization using compressed scans.
Mariya Zheleva, Timothy Larock, Paul Schmitt, and Petko Bogdanov.
2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN).
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Adaptation of a visible wavelength fluorescence microplate reader for discovery of near-infrared fluorescent probes.
Steven M Swasey, Hunter C Nicholson, Stacy M Copp, Petko Bogdanov, Alexander Gorovits, and Elisabeth G Gwinn.
Review of Scientific Instruments 89(9).
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Fluorescence color by data-driven design of genomic silver clusters.
Stacy M Copp, Alexander Gorovits, Steven M Swasey, Sruthi Gudibandi, Petko Bogdanov, and Elisabeth G Gwinn.
ACS nano 12(8).
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High throughput near infrared screening discovers DNA-templated silver clusters with peak fluorescence beyond 950 nm.
Steven M Swasey, Stacy M Copp, Hunter C Nicholson, Alexander Gorovits, Petko Bogdanov, and Elisabeth G Gwinn.
Nanoscale 10(42).
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LARC: Learning Activity-Regularized Overlapping Communities Across Time.
Alexander Gorovits, Ekta Gurjal, Vagelis Papalexakis, and Petko Bogdanov.
ACM International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD 2018).
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AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing.
Mariya Zheleva, Petko Bogdanov, Timothy Larock, and Paul Schmitt.
IEEE International Conference on Computer Communications (IEEE INFOCOM 2018).
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Making a Small World Smaller: Path Optimization in Networks.
Sourav Medya, Petko Bogdanov, and Ambuj K. Singh.
IEEE Transactions on Knowledge and Data Engineering.
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2017
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Local Community Detection in Dynamic Networks.
Daniel J DiTursi, Gaurav Ghosh, and Petko Bogdanov.
Proceedings of the IEEE International Conference on Data Mining (ICDM), New Orleans, USA..
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Network Clocks: Detecting the Temporal Scale of Information Diffusion.
Daniel J DiTursi, Gregorios A Katsios, and Petko Bogdanov.
Proceedings of the IEEE International Conference on Data Mining (ICDM), New Orleans, USA..
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Learning about Learning: Mining Human Brain Sub-Network Biomarkers from fMRI Data.
Petko Bogdanov, Nazli Dereli, Xuan-Hong Dang, Danielle. S. Bassett, Nicholas F. Wymbs, Scott T. Grafton, and Ambuj K. Singh.
PLoS One.
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Smallholder agriculture in the information age: Limits and opportunities.
Mariya Zheleva, Petko Bogdanov, Daphney-Stravoula Zois, Wei Xiong, Ranveer Chandra, and Mark Kimball.
Proceedings of ACM Third Workshop on Computing within Limits (LIMITS).
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Systems Biology: Salivary Gland Development, Disease, and Regenerative Medicine.
Melinda Larsen, Petko Bogdanov, Ravi Sood, Hae Ryong Kwon, Deirdre A. Nelson, Connor Duffy, Sarah B. Peters, and Sridar V. Chittur.
Salivary Gland Development and Regeneration: Advances in Research and Clinical Approaches to Functional Restoration.
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A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks.
Victor Amelkin, Petko Bogdanov, and Ambuj Singh.
Proceedings of the IEEE International Conference on Data Engineering (ICDE).
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2016
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Towards Scalable Network Delay Minimization.
Sourav Medya, Petko Bogdanov, and Ambuj Singh.
Proceedings of the IEEE International Conference on Data Mining (ICDM).
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2015
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Learning Predictive Substructures with Regularization for Network Data.
Xuan-Hong Dang, Hongyuan You, Petko Bogdanov, and Ambuj Singh.
Proceedings of the IEEE International Conference on Data Mining (ICDM).
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Hierarchical In-Network Attribute Compression via Importance Sampling.
Arlei Silva, Petko Bogdanov, and Ambuj Singh.
Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE).
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2014
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The Social Media Genome: Modeling Individual Topic-Specific Behavior in Social Media.
Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, and Boleslaw K. Szymanski.
Journal of Social Network Analysis and Mining (SNAM).
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Motif-based design of DNA templates for fluorescent silver clusters.
Stacy Copp, Petko Bogdanov, Mark Debord, Ambuj K. Singh, and Elisabeth Gwinn.
FNANO.
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Base Motif Recognition and Design of DNA Templates for Fluorescent Silver Clusters by Machine Learning.
Stacy Copp, Petko Bogdanov, Mark Debord, Ambuj Singh, and Elisabeth Gwinn.
Journal of Advanced Materials.
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Discriminative Subnetworks with Regularized Spectral Learning for Global-state Network Data.
Xuan-Hong Dang, Ambuj K Singh, Petko Bogdanov, Hongyuan You, and Bayyuan Hsu.
Proceedings of the 25th European Conference on Machine Learning / 18th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD).
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Collection and Analysis of Relational Data from Digital Archives.
John W. Mohr and Petko Bogdanov.
Encyclopedia of Social Network Analysis and Mining.
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2013
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Graphing the Grammar of Motives in U.S. National Security Strategies: Cultural Interpretation, Automated Text Analysis and the Drama of Global Politics..
John W. Mohr, Robin Wagner-Pacifici, Ronald Breiger, and Petko Bogdanov.
Poetics: Journal of Empirical Research on Culture, the Media, and the Arts.
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Mining evolving network processes.
Misael Mongiovi, Petko Bogdanov, and Ambuj K. Singh.
Proceedings of the IEEE International Conference on Data Mining (ICDM).
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Accurate and scalable nearest neighbors in large networks based on effective importance.
Petko Bogdanov and Ambuj K. Singh.
ACM International Conference on Information and Knowledge Management (CIKM).
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As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs.
Petko Bogdanov, Ben Baumer, Prithwish Basu, Amotz Bar-Noy, and Ambuj K. Singh.
Proceedings of Machine Learning and Knowledge Discovery in Databases - European Conference (ECML/PKDD).
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The Social Media Genome: Modeling Individual Topic-Specific Behavior in Social Media.
Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, and Boleslaw K. Szymanski.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
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I act, therefore I judge: Network sentiment dynamics based on user activity change.
Kathy Macropol, Petko Bogdanov, Ambuj K. Singh, Linda Petzold, and Xifeng Yan.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
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NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks.
Misael Mongiovi, Petko Bogdanov, Razvan Ranca, Ambuj K. Singh, Evangelos E. Papalexakis, and Christos Faloutsos.
Proceedings of SIAM International Conference on Data Mining (SDM).
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Topic models: What they are and why they matter.
John W Mohr and Petko Bogdanov.
Poetics: Journal of Empirical Research on Culture, the Media, and the Arts 41(6).
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2011
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Mining Heavy Subgraphs in Time-Evolving Networks.
Petko Bogdanov, Misael Mongiovi, and Ambuj K. Singh.
Proceedings of the IEEE International Conference on Data Mining (ICDM).
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Function Annotation in Gene Networks.
Petko Bogdanov, Kathy Macropol, and Ambuj K Singh.
Functional Coherence of Molecular Networks in Bioinformatics.
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2010
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Towards Community Discovery in Signed Collaborative Interaction Networks.
Petko Bogdanov, Nicholas D. Larusso, and Ambuj K. Singh.
Workshop on Social Interaction Analysis and Service Providers SIASP at IEEE ICDM.
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Fast nearest neighbors in large and composite networks.
Petko Bogdanov and Ambuj K. Singh.
Army Science Conference.
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Molecular Function Prediction Using Neighborhood Features.
Petko Bogdanov and Ambuj K. Singh.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 7(2).
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2008
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Function Prediction Using Neighborhood Patterns.
Petko Bogdanov and Ambuj K. Singh.
BioKDD Workshop.
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