Petko Bogdanov

79 papers A* 21A 7B 6C 2Journal 24Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Property-Isometric Variational Autoencoders for Sequence Modeling and Design. CoRR Elham Sadeghi, Xianqi Deng, I-Hsin Lin, Stacy M. Copp, Petko Bogdanov
2025	J	`jnl`	Sparse Coding Representation of 2-way Data. CoRR Boya Ma, Abram Magner, Maxwell McNeil, Petko Bogdanov
2025	A*	`conf`	Sparse Recovery Transmitter Detection. INFOCOM Blessing Okoro, Maxwell McNeil, Kavya Meka, Karyn Doke, Petko Bogdanov, Mariya Zheleva
2024	A*	`conf`	Low Rank Multi-Dictionary Selection at Scale. KDD Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov
2024	J	`jnl`	Low Rank Multi-Dictionary Selection at Scale. CoRR Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov
2024	C	`conf`	TVWS Network Resilience in Rural Towns: How External Factors Impact Network Performance and Social Factors Impact Network Longevity. ICTD Vaasu Taneja, Munthir Chater, Tony Comanzo, Petko Bogdanov, Mariya Zheleva
2024	—	`conf`	WideRate: Reinforcement Learning Rate Adaptation for Mobile Wide Area Networks. VTC Spring Karyn Doke, Elham Sadeghi, Vaasu Taneja, Habib O. Affinnih, Petko Bogdanov, Mariya Zheleva
2023	A	`conf`	CADENCE: Community-Aware Detection of Dynamic Network States. SDM Maxwell McNeil, Carolina Mattsson, Frank W. Takes, Petko Bogdanov
2023	—	`conf`	Does Co-Creation Affect the Adoption of IT-Enabled Solutions? The Case of a Mobile Application for Emergency Preparedness. HICSS Qianli Yuan, Mila Gascó-Hernández, J. Ramón Gil-García, Vaasu Taneja, Karyn Doke, Petko Bogdanov, Mariya Zheleva
2023	A	`conf`	GIST: Graph Inference for Structured Time Series. SDM Boya Ma, Maxwell McNeil, Petko Bogdanov
2023	A*	`conf`	Multi-Dictionary Tensor Decomposition. ICDM Maxwell McNeil, Petko Bogdanov
2023	J	`jnl`	Multi-Dictionary Tensor Decomposition. CoRR Maxwell McNeil, Petko Bogdanov
2022	J	`jnl`	$\mathtt {{SYMMeTRy}}$SYMMeTRy : Exploiting MIMO Self-Similarity for Under-Determined Modulation Recognition. IEEE Trans. Mob. Comput. Wei Xiong, Lin Zhang, Maxwell McNeil, Petko Bogdanov, Mariya Zheleva
2022	A*	`conf`	DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders. KDD Fariha Moomtaheen, Matthew Killeen, James T. Oswald, Anna Gonzàlez-Rosell, Peter Mastracco, Alexander Gorovits, Stacy M. Copp, Petko Bogdanov
2022	J	`jnl`	Fast and Accurate Spreading Process Temporal Scale Estimation. Trans. Mach. Learn. Res. Abram Magner, Carolyn S. Kaminski, Petko Bogdanov
2022	A	`conf`	SAGA: Signal-Aware Graph Aggregation. SDM Maxwell McNeil, Boya Ma, Petko Bogdanov
2022	—	`conf`	Understanding Drivers and Challenges of Multi-actor Collaborations at the Local Level. HICSS Qianli Yuan, Karyn Doke, Mila Gascó-Hernández, J. Ramón Gil-García, Mariya Zheleva, Petko Bogdanov
2022	B	`conf`	Unsupervised Instance and Subnetwork Selection for Network Data. DSAA Lin Zhang, Nicholas Moskwa, Melinda Larsen, Petko Bogdanov
2022	J	`jnl`	Unsupervised Instance and Subnetwork Selection for Network Data. CoRR Lin Zhang, Nicholas Moskwa, Melinda Larsen, Petko Bogdanov
2021	J	`jnl`	AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series. Data Min. Knowl. Discov. Lin Zhang, Wenyu Zhang, Maxwell J. McNeil, Nachuan Chengwang, David S. Matteson, Petko Bogdanov
2021	B	`conf`	CORE: Connectivity Optimization via REinforcement Learning in WANETs. SECON Alexander Gorovits, Karyn Doke, Lin Zhang, Mariya Zheleva, Petko Bogdanov
2021	C	`conf`	Improving Emergency Preparedness and Response in Rural Areas. COMPASS Karyn Doke, Habib O. Affinnih, Qianli Yuan, Mila Gascó-Hernández, J. Ramón Gil-García, Petko Bogdanov, Mariya Zheleva
2021	B	`conf`	MODELESS: MODulation rEcognition with LimitEd SuperviSion. SECON Wei Xiong, Petko Bogdanov, Mariya Zheleva
2021	A	`conf`	Mining Bursty Groups from Interaction Data. CIKM Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov
2021	A*	`conf`	Temporal Graph Signal Decomposition. KDD Maxwell J. McNeil, Lin Zhang, Petko Bogdanov
2021	J	`jnl`	Temporal Graph Signal Decomposition. CoRR Maxwell McNeil, Lin Zhang, Petko Bogdanov
2021	J	`jnl`	Temporal Scale Estimation for Oversampled Network Cascades: Theory, Algorithms, and Experiment. CoRR Abram Magner, Carolyn S. Kaminski, Petko Bogdanov
2021	—	`conf`	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 Qianli Yuan, Yenisel Gulatee, Mila Gascó-Hernández, Mariya Zheleva, Petko Bogdanov, J. Ramón Gil-García
2020	A*	`conf`	Exploiting Self-Similarity for Under-Determined MIMO Modulation Recognition. INFOCOM Wei Xiong, Lin Zhang, Maxwell McNeil, Petko Bogdanov, Mariya Zheleva
2020	—	`conf`	Fractals in the Air: Under-determined modulation recognition for MIMO communication. INFOCOM Workshops Wei Xiong, Lin Zhang, Maxwell McNeil, Petko Bogdanov, Mariya Zheleva
2020	A*	`conf`	Learning Periods from Incomplete Multivariate Time Series. ICDM Lin Zhang, Alexander Gorovits, Wenyu Zhang, Petko Bogdanov
2020	J	`jnl`	LinksIQ: Robust and Efficient Modulation Recognition with Imperfect Spectrum Scans. CoRR Wei Xiong, Karyn Doke, Petko Bogdanov, Mariya Zheleva
2020	B	`conf`	Period Estimation For Incomplete Time Series. DSAA Lin Zhang, Petko Bogdanov
2020	J	`jnl`	Supporting Resilience in Rural Emergency Preparedness and Response Through Improved Information Access. GetMobile Mob. Comput. Commun. Karyn Doke, Qianli Yuan, Mila Gascó-Hernández, Megan K. Sutherland-Mitzner, J. Ramón Gil-García, Petko Bogdanov, Mariya Zheleva
2020	—	`conf`	Towards scalable zero-shot modulation recognition. VTC Fall Wei Xiong, Petko Bogdanov, Mariya Zheleva
2019	J	`jnl`	A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. ACM Trans. Knowl. Discov. Data Victor Amelkin, Petko Bogdanov, Ambuj K. Singh
2019	A*	`conf`	DEMO: EApp: Improving Rural Emergency Preparedness and Response. MobiCom Karyn Doke, Nachuan Chengwang, Andrew Boggio-Dandry, Petko Bogdanov, Mariya Zheleva
2019	A	`conf`	DSL: Discriminative Subgraph Learning via Sparse Self-Representation. SDM Lin Zhang, Petko Bogdanov
2019	J	`jnl`	DSL: Discriminative Subgraph Learning via Sparse Self-Representation. CoRR Lin Zhang, Petko Bogdanov
2019	—	`conf`	Demo: EApp: Improving Rural Emergency Preparedness and Response. S3@MobiCom Karyn Doke, Nachuan Chengwang, Andrew Boggio-Dandry, Petko Bogdanov, Mariya Zheleva
2019	A*	`conf`	Optimal Timelines for Network Processes. ICDM Daniel J. DiTursi, Carolyn S. Kaminski, Petko Bogdanov
2019	A*	`conf`	PERCeIDs: PERiodic CommunIty Detection. ICDM Lin Zhang, Alexander Gorovits, Petko Bogdanov
2019	A*	`conf`	Robust and Efficient Modulation Recognition Based on Local Sequential IQ Features. INFOCOM Wei Xiong, Petko Bogdanov, Mariya Zheleva
2019	—	`conf`	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 Mila Gascó-Hernández, Mariya Zheleva, Petko Bogdanov, J. Ramón Gil-García
2018	—	`conf`	AirPress: High-accuracy spectrum summarization using compressed scans. DySPAN Mariya Zheleva, Timothy LaRock, Paul Schmitt, Petko Bogdanov
2018	—	`conf`	AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing. INFOCOM Workshops Mariya Zheleva, Petko Bogdanov, Timothy LaRock, Paul Schmitt
2018	A*	`conf`	AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing. INFOCOM Mariya Zheleva, Petko Bogdanov, Timothy LaRock, Paul Schmitt
2018	—	`conf`	An Efficient System for Subgraph Discovery. IEEE BigData Aparna Joshi, Yu Zhang, Petko Bogdanov, Jeong-Hyon Hwang
2018	J	`jnl`	An Efficient System for Subgraph Discovery. CoRR Aparna Joshi, Yu Zhang, Petko Bogdanov, Jeong-Hyon Hwang
2018	—	`ch.`	Collection and Analysis of Relational Data from Digital Archives. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. John W. Mohr, Petko Bogdanov
2018	—	`conf`	Efficient spectrum summarization using compressed spectrum scans. INFOCOM Workshops Mariya Zheleva, Timothy LaRock, Paul Schmitt, Petko Bogdanov
2018	A*	`conf`	LARC: Learning Activity-Regularized Overlapping Communities Across Time. KDD Alexander Gorovits, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov
2018	J	`jnl`	Making a Small World Smaller: Path Optimization in Networks. IEEE Trans. Knowl. Data Eng. Sourav Medya, Petko Bogdanov, Ambuj K. Singh
2017	A*	`conf`	A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. ICDE Victor Amelkin, Petko Bogdanov, Ambuj K. Singh
2017	A*	`conf`	Local Community Detection in Dynamic Networks. ICDM Daniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov
2017	J	`jnl`	Local Community Detection in Dynamic Networks. CoRR Daniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov
2017	A*	`conf`	Network Clocks: Detecting the Temporal Scale of Information Diffusion. ICDM Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov
2017	J	`jnl`	Network Clocks: Detecting the Temporal Scale of Information Diffusion. CoRR Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov
2017	—	`conf`	Smallholder Agriculture in the Information Age: Limits and Opportunities. LIMITS Mariya Zheleva, Petko Bogdanov, Daphney-Stavroula Zois, Wei Xiong, Ranveer Chandra, Mark Kimball
2016	A*	`conf`	Towards Scalable Network Delay Minimization. ICDM Sourav Medya, Petko Bogdanov, Ambuj K. Singh
2016	J	`jnl`	Towards Scalable Network Delay Minimization. CoRR Sourav Medya, Petko Bogdanov, Ambuj K. Singh
2015	J	`jnl`	A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. CoRR Victor Amelkin, Ambuj K. Singh, Petko Bogdanov
2015	J	`jnl`	Discriminative Subnetworks with Regularized Spectral Learning for Global-state Network Data. CoRR Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu
2015	A*	`conf`	Hierarchical in-network attribute compression via importance sampling. ICDE Arlei Silva, Petko Bogdanov, Ambuj K. Singh
2015	A*	`conf`	Learning Predictive Substructures with Regularization for Network Data. ICDM Xuan-Hong Dang, Hongyuan You, Petko Bogdanov, Ambuj K. Singh
2014	—	`ch.`	Collection and Analysis of Relational Data from Digital Archives. Encyclopedia of Social Network Analysis and Mining John W. Mohr, Petko Bogdanov
2014	—	`conf`	Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data. ECML/PKDD (1) Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu
2014	J	`jnl`	Modeling individual topic-specific behavior and influence backbone networks in social media. Soc. Netw. Anal. Min. Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, Boleslaw K. Szymanski
2013	A	`conf`	Accurate and scalable nearest neighbors in large networks based on effective importance. CIKM Petko Bogdanov, Ambuj K. Singh
2013	—	`conf`	As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs. ECML/PKDD (1) Petko Bogdanov, Ben Baumer, Prithwish Basu, Amotz Bar-Noy, Ambuj K. Singh
2013	B	`conf`	I act, therefore I judge: network sentiment dynamics based on user activity change. ASONAM Kathy Macropol, Petko Bogdanov, Ambuj K. Singh, Linda R. Petzold, Xifeng Yan
2013	A*	`conf`	Mining Evolving Network Processes. ICDM Misael Mongiovì, Petko Bogdanov, Ambuj K. Singh
2013	A	`conf`	NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks. SDM Petko Bogdanov, Christos Faloutsos, Misael Mongiovì, Evangelos E. Papalexakis, Razvan Ranca, Ambuj K. Singh
2013	J	`jnl`	The Social Media Genome: Modeling Individual Topic-Specific Behavior in Social Media. CoRR Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, Boleslaw K. Szymanski
2013	B	`conf`	The social media genome: modeling individual topic-specific behavior in social media. ASONAM Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, Boleslaw K. Szymanski
2012	—	`conf`	SigSpot: mining significant anomalous regions from time-evolving networks (abstract only). SIGMOD Conference Misael Mongiovì, Petko Bogdanov, Razvan Ranca, Ambuj K. Singh, Evangelos E. Papalexakis, Christos Faloutsos
2011	A*	`conf`	Mining Heavy Subgraphs in Time-Evolving Networks. ICDM Petko Bogdanov, Misael Mongiovì, Ambuj K. Singh
2010	J	`jnl`	Molecular Function Prediction Using Neighborhood Features. IEEE ACM Trans. Comput. Biol. Bioinform. Petko Bogdanov, Ambuj K. Singh
2010	—	`conf`	Towards Community Discovery in Signed Collaborative Interaction Networks. ICDM Workshops Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Singh