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2020 – today
- 2024
[c51]Boya Ma
, Maxwell McNeil, Abram Magner, Petko Bogdanov:
Low Rank Multi-Dictionary Selection at Scale. KDD 2024: 2106-2117- [c50]Karyn Doke, Elham Sadeghi, Vaasu Taneja, Habib O. Affinnih, Petko Bogdanov, Mariya Zheleva:
WideRate: Reinforcement Learning Rate Adaptation for Mobile Wide Area Networks. VTC Spring 2024: 1-6 - [i14]Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov:
Low Rank Multi-Dictionary Selection at Scale. CoRR abs/2406.06960 (2024) - 2023
- [c49]Qianli Yuan, Mila Gascó-Hernández, J. 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: 1951-1960 - [c48]Maxwell McNeil, Petko Bogdanov:
Multi-Dictionary Tensor Decomposition. ICDM 2023: 1217-1222 - [c47]Maxwell McNeil, Carolina Mattsson, Frank W. Takes, Petko Bogdanov:
CADENCE: Community-Aware Detection of Dynamic Network States. SDM 2023: 1-9 - [c46]Boya Ma, Maxwell McNeil, Petko Bogdanov:
GIST: Graph Inference for Structured Time Series. SDM 2023: 433-441 - [i13]Maxwell McNeil, Petko Bogdanov:
Multi-Dictionary Tensor Decomposition. CoRR abs/2309.09717 (2023) - 2022
- [j8]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): 4111-4124 (2022) - [j7]Abram Magner, Carolyn S. Kaminski, Petko Bogdanov:
Fast and Accurate Spreading Process Temporal Scale Estimation. Trans. Mach. Learn. Res. 2022 (2022) - [c45]Lin Zhang, Nicholas Moskwa, Melinda Larsen, Petko Bogdanov:
Unsupervised Instance and Subnetwork Selection for Network Data. DSAA 2022: 1-10 - [c44]Qianli Yuan, Karyn Doke, Mila Gascó-Hernández, J. Ramón Gil-García, Mariya Zheleva, Petko Bogdanov:
Understanding Drivers and Challenges of Multi-actor Collaborations at the Local Level. HICSS 2022: 1-11 - [c43]Fariha Moomtaheen, Matthew Killeen, James T. Oswald, Anna Gonzàlez-Rosell, Peter Mastracco, Alexander Gorovits, Stacy M. Copp, Petko Bogdanov:
DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders. KDD 2022: 3593-3602 - [c42]Maxwell McNeil, Boya Ma, Petko Bogdanov:
SAGA: Signal-Aware Graph Aggregation. SDM 2022: 136-144 - [d1]Karyn Doke, Wei Xiong, Petko Bogdanov, Mariya Zheleva:
Modulation Recognition IQ Samples Across Heterogeneous Sensors. IEEE DataPort, 2022
- [i12]Lin Zhang, Nicholas Moskwa, Melinda Larsen, Petko Bogdanov:
Unsupervised Instance and Subnetwork Selection for Network Data. CoRR abs/2212.12771 (2022) - 2021
- [j6]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): 1882-1905 (2021) - [c41]Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov:
Mining Bursty Groups from Interaction Data. CIKM 2021: 596-605 - [c40]Karyn Doke, Habib O. Affinnih, Qianli Yuan, Mila Gascó-Hernández, J. Ramón Gil-García, Petko Bogdanov, Mariya Zheleva:
Improving Emergency Preparedness and Response in Rural Areas. COMPASS 2021: 66-78 - [c39]Qianli Yuan, Yenisel Gulatee, Mila Gascó-Hernández, Mariya Zheleva, Petko Bogdanov, J. 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: 1-10 - [c38]Maxwell J. McNeil, Lin Zhang, Petko Bogdanov:
Temporal Graph Signal Decomposition. KDD 2021: 1191-1201 - [c37]Wei Xiong, Petko Bogdanov, Mariya Zheleva:
MODELESS: MODulation rEcognition with LimitEd SuperviSion. SECON 2021: 1-9 - [c36]Alexander Gorovits, Karyn Doke, Lin Zhang, Mariya Zheleva, Petko Bogdanov:
CORE: Connectivity Optimization via REinforcement Learning in WANETs. SECON 2021: 1-9 - [i11]Maxwell McNeil, Lin Zhang, Petko Bogdanov:
Temporal Graph Signal Decomposition. CoRR abs/2106.13517 (2021) - [i10]Abram Magner, Carolyn S. Kaminski, Petko Bogdanov:
Temporal Scale Estimation for Oversampled Network Cascades: Theory, Algorithms, and Experiment. CoRR abs/2109.10937 (2021) - 2020
- [j5]Karyn Doke, Qianli Yuan, Mila Gascó-Hernández, Megan K. Sutherland-Mitzner, J. 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): 5-11 (2020) - [c35]Lin Zhang, Petko Bogdanov:
Period Estimation For Incomplete Time Series. DSAA 2020: 40-49 - [c34]Lin Zhang, Alexander Gorovits, Wenyu Zhang, Petko Bogdanov:
Learning Periods from Incomplete Multivariate Time Series. ICDM 2020: 1394-1399 - [c33]Wei Xiong, Lin Zhang, Maxwell McNeil, Petko Bogdanov, Mariya Zheleva:
Exploiting Self-Similarity for Under-Determined MIMO Modulation Recognition. INFOCOM 2020: 1201-1210 - [c32]Wei Xiong, Lin Zhang, Maxwell McNeil, Petko Bogdanov, Mariya Zheleva:
Fractals in the Air: Under-determined modulation recognition for MIMO communication. INFOCOM Workshops 2020: 1344-1345 - [c31]Wei Xiong, Petko Bogdanov, Mariya Zheleva:
Towards scalable zero-shot modulation recognition. VTC Fall 2020: 1-7 - [i9]Wei Xiong, Karyn Doke, Petko Bogdanov, Mariya Zheleva:
LinksIQ: Robust and Efficient Modulation Recognition with Imperfect Spectrum Scans. CoRR abs/2005.04149 (2020)
2010 – 2019
- 2019
- [j4]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): 38:1-38:34 (2019) - [c30]Mila Gascó-Hernández, Mariya Zheleva, Petko Bogdanov, J. 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: 362-369 - [c29]Lin Zhang, Alexander Gorovits, Petko Bogdanov:
PERCeIDs: PERiodic CommunIty Detection. ICDM 2019: 816-825 - [c28]Daniel J. DiTursi, Carolyn S. Kaminski, Petko Bogdanov:
Optimal Timelines for Network Processes. ICDM 2019: 1024-1029 - [c27]Wei Xiong, Petko Bogdanov, Mariya Zheleva:
Robust and Efficient Modulation Recognition Based on Local Sequential IQ Features. INFOCOM 2019: 1612-1620 - [c26]Karyn Doke, Nachuan Chengwang, Andrew Boggio-Dandry, Petko Bogdanov, Mariya Zheleva:
Demo: EApp: Improving Rural Emergency Preparedness and Response. S3@MobiCom 2019: 12 - [c25]Karyn Doke, Nachuan Chengwang, Andrew Boggio-Dandry, Petko Bogdanov, Mariya Zheleva:
DEMO: EApp: Improving Rural Emergency Preparedness and Response. MobiCom 2019: 61:1-61:3 - [c24]Lin Zhang, Petko Bogdanov:
DSL: Discriminative Subgraph Learning via Sparse Self-Representation. SDM 2019: 333-341 - [i8]Lin Zhang, Petko Bogdanov:
DSL: Discriminative Subgraph Learning via Sparse Self-Representation. CoRR abs/1904.00791 (2019) - 2018
- [j3]Sourav Medya, Petko Bogdanov, Ambuj K. Singh:
Making a Small World Smaller: Path Optimization in Networks. IEEE Trans. Knowl. Data Eng. 30(8): 1533-1546 (2018) - [c23]Aparna Joshi, Yu Zhang, Petko Bogdanov, Jeong-Hyon Hwang:
An Efficient System for Subgraph Discovery. IEEE BigData 2018: 703-712 - [c22]Mariya Zheleva, Timothy LaRock, Paul Schmitt, Petko Bogdanov:
AirPress: High-accuracy spectrum summarization using compressed scans. DySPAN 2018: 1-5 - [c21]Mariya Zheleva, Petko Bogdanov, Timothy LaRock, Paul Schmitt:
AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing. INFOCOM Workshops 2018: 1-2 - [c20]Mariya Zheleva, Timothy LaRock, Paul Schmitt, Petko Bogdanov:
Efficient spectrum summarization using compressed spectrum scans. INFOCOM Workshops 2018: 1-2 - [c19]Mariya Zheleva, Petko Bogdanov, Timothy LaRock, Paul Schmitt:
AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing. INFOCOM 2018: 1673-1681 - [c18]Alexander Gorovits, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov:
LARC: Learning Activity-Regularized Overlapping Communities Across Time. KDD 2018: 1465-1474 - [r2]John W. Mohr, Petko Bogdanov:
Collection and Analysis of Relational Data from Digital Archives. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i7]Aparna Joshi, Yu Zhang, Petko Bogdanov, Jeong-Hyon Hwang:
An Efficient System for Subgraph Discovery. CoRR abs/1807.08888 (2018) - 2017
- [c17]Victor Amelkin, Petko Bogdanov, Ambuj K. Singh:
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. ICDE 2017: 159-162 - [c16]Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov:
Network Clocks: Detecting the Temporal Scale of Information Diffusion. ICDM 2017: 841-846 - [c15]Daniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov:
Local Community Detection in Dynamic Networks. ICDM 2017: 847-852 - [c14]Mariya Zheleva, Petko Bogdanov, Daphney-Stavroula Zois, Wei Xiong, Ranveer Chandra, Mark Kimball:
Smallholder Agriculture in the Information Age: Limits and Opportunities. LIMITS 2017: 59-70 - [i6]Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov:
Network Clocks: Detecting the Temporal Scale of Information Diffusion. CoRR abs/1709.04015 (2017) - [i5]Daniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov:
Local Community Detection in Dynamic Networks. CoRR abs/1709.04033 (2017) - 2016
- [c13]Sourav Medya, Petko Bogdanov, Ambuj K. Singh:
Towards Scalable Network Delay Minimization. ICDM 2016: 1083-1088 - [i4]Sourav Medya, Petko Bogdanov, Ambuj K. Singh:
Towards Scalable Network Delay Minimization. CoRR abs/1609.08228 (2016) - 2015
- [c12]Arlei Silva, Petko Bogdanov, Ambuj K. Singh:
Hierarchical in-network attribute compression via importance sampling. ICDE 2015: 951-962 - [c11]Xuan-Hong Dang, Hongyuan You, Petko Bogdanov, Ambuj K. Singh:
Learning Predictive Substructures with Regularization for Network Data. ICDM 2015: 81-90 - [i3]Victor Amelkin, Ambuj K. Singh, Petko Bogdanov:
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. CoRR abs/1510.05058 (2015) - [i2]Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu:
Discriminative Subnetworks with Regularized Spectral Learning for Global-state Network Data. CoRR abs/1512.06173 (2015) - 2014
- [j2]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): 204 (2014) - [c10]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: 290-306 - [r1]John W. Mohr, Petko Bogdanov:
Collection and Analysis of Relational Data from Digital Archives. Encyclopedia of Social Network Analysis and Mining 2014: 133-136 - 2013
- [c9]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: 236-242 - [c8]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: 396-402 - [c7]Petko Bogdanov, Ambuj K. Singh:
Accurate and scalable nearest neighbors in large networks based on effective importance. CIKM 2013: 1009-1018 - [c6]Misael Mongiovì, Petko Bogdanov, Ambuj K. Singh:
Mining Evolving Network Processes. ICDM 2013: 537-546 - [c5]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: 525-540 - [c4]Petko Bogdanov, Christos Faloutsos, Misael Mongiovì, Evangelos E. Papalexakis, Razvan Ranca, Ambuj K. Singh:
NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks. SDM 2013: 28-36 - [i1]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 abs/1307.0309 (2013) - 2012
- [c3]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: 865 - 2011
- [c2]Petko Bogdanov, Misael Mongiovì, Ambuj K. Singh:
Mining Heavy Subgraphs in Time-Evolving Networks. ICDM 2011: 81-90 - 2010
- [j1]Petko Bogdanov, Ambuj K. Singh:
Molecular Function Prediction Using Neighborhood Features. IEEE ACM Trans. Comput. Biol. Bioinform. 7(2): 208-217 (2010) - [c1]Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Singh:
Towards Community Discovery in Signed Collaborative Interaction Networks. ICDM Workshops 2010: 288-295
Coauthor Index
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last updated on 2024-10-08 20:34 CEST by the dblp team
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