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Charalampos Chelmis
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2020 – today
- 2024
- [j20]Wenting Qi
, Charalampos Chelmis
:
Noisy Label Detection and Counterfactual Correction. IEEE Trans. Artif. Intell. 5(2): 763-775 (2024) - [j19]Sachini Piyoni Ekanayake
, Daphney-Stavroula Zois
, Charalampos Chelmis
:
Sequential Datum-wise Feature Acquisition and Classifier Selection. IEEE Trans. Artif. Intell. 5(6): 2663-2677 (2024) - [j18]Charalampos Chelmis
, Khandker Sadia Rahman
:
Why Do Some Homeless Succeed While Others Falter? A Network Science Perspective. IEEE Trans. Comput. Soc. Syst. 11(2): 2703-2712 (2024) - 2023
- [j17]Wenting Qi, Charalampos Chelmis
:
Evaluating algorithmic homeless service allocation. J. Comput. Soc. Sci. 6(1): 59-89 (2023) - [j16]Khandker Sadia Rahman
, Charalampos Chelmis
:
Modeling and predicting individual transitions within the homelessness system. Soc. Netw. Anal. Min. 13(1): 77 (2023) - [c73]Wenting Qi, Charalampos Chelmis:
Hybrid Loss for Hierarchical Multi-label Classification Network. IEEE Big Data 2023: 819-828 - [c72]Wenting Qi, Charalampos Chelmis:
Online Hierarchical Multi-label Classification. IEEE Big Data 2023: 5346-5355 - [c71]Sachini Piyoni Ekanayake, Daphney-Stavroula Zois
, Charalampos Chelmis
:
Sequential Datum-Wise Joint Feature Selection and Classification in the Presence of External Classifier. ICASSP 2023: 1-5 - [c70]Khandker Sadia Rahman
, Daphney-Stavroula Zois
, Charalampos Chelmis:
Bayesian Network Modeling and Prediction of Transitions Within the Homelessness System. ICASSP 2023: 1-5 - [c69]Charalampos Chelmis
, Bedirhan Gergin:
Recipe Networks and the Principles of Healthy Food on the Web. ICWSM 2023: 95-102 - 2022
- [j15]Yasitha Warahena Liyanage
, Daphney-Stavroula Zois
, Charalampos Chelmis
:
Near Real-Time Freeway Accident Detection. IEEE Trans. Intell. Transp. Syst. 23(2): 1467-1478 (2022) - [c68]Khandker Sadia Rahman
, Charalampos Chelmis
:
Learning to Predict Transitions within the Homelessness System from Network Trajectories. ASONAM 2022: 181-185 - [c67]Jisun An, Charalampos Chelmis, Walid Magdy:
IEEE/ACM ASONAM 2022: Welcome from the ASONAM 2022 Program Chairs. ASONAM 2022: xi - [c66]Wenting Qi, Charalampos Chelmis
:
Robust Learning with Noisy Label Detection and Counterfactual Correction. IEEE Big Data 2022: 1324-1329 - [c65]Wenting Qi, Charalampos Chelmis
:
Label Denoising and Counterfactual Explanation with A Plug and Play Framework. IEEE Big Data 2022: 1330-1335 - [p2]Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna:
Computational Models for Cascades in Massive Graphs. Massive Graph Analytics 2022: 377-395 - 2021
- [j14]Yasitha Warahena Liyanage
, Daphney-Stavroula Zois
, Charalampos Chelmis
:
Dynamic Instance-wise Joint Feature Selection and Classification. IEEE Trans. Artif. Intell. 2(2): 169-184 (2021) - [j13]Yasitha Warahena Liyanage
, Daphney-Stavroula Zois
, Charalampos Chelmis
:
Dynamic Instance-Wise Classification in Correlated Feature Spaces. IEEE Trans. Artif. Intell. 2(6): 537-548 (2021) - [j12]Charalampos Chelmis
, Daphney-Stavroula Zois
:
Dynamic, Incremental, and Continuous Detection of Cyberbullying in Online Social Media. ACM Trans. Web 15(3): 14:1-14:33 (2021) - [c64]Charalampos Chelmis, Khandker Sadia Rahman
:
Peeking through the homelessness system with a network science lens. ASONAM 2021: 69-73 - [c63]Wenting Qi, Charalampos Chelmis
:
Improving Algorithmic Decision-Making in the Presence of Untrustworthy Training Data. IEEE BigData 2021: 1102-1108 - [c62]Charalampos Chelmis, Wenting Qi:
Hierarchical MultiClass AdaBoost. IEEE BigData 2021: 5063-5070 - [c61]Charalampos Chelmis, Wenting Qi, Wonhyung Lee:
Challenges and Opportunities in Using Data Science for Homelessness Service Provision. WWW (Companion Volume) 2021: 128-135 - [i3]Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis:
Dynamic Instance-Wise Classification in Correlated Feature Spaces. CoRR abs/2106.04668 (2021) - 2020
- [c60]Imara Nazar, Daphney-Stavroula Zois
, Charalampos Chelmis:
Knowing When to Stop: Joint Heterogeneous Feature Selection and Classification. ACSSC 2020: 1227-1231 - [c59]Yasitha Warahena Liyanage, Daphney-Stavroula Zois
, Charalampos Chelmis:
On-The-Fly Feature Selection and Classification with Application to Civic Engagement Platforms. ICASSP 2020: 3762-3766 - [c58]Imara Nazar, Yasitha Warahena Liyanage, Daphney-Stavroula Zois
, Charalampos Chelmis:
Sequential Heterogeneous Feature Selection for Multi-Class Classification: Application in Government 2.0. MLSP 2020: 1-6 - [i2]Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis:
On-the-Fly Joint Feature Selection and Classification. CoRR abs/2004.10245 (2020)
2010 – 2019
- 2019
- [j11]Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K. Prasanna:
Extracting entity-specific substructures for RDF graph embeddings. Semantic Web 10(6): 1087-1108 (2019) - [c57]Imara Nazar, Yasitha Warahena Liyanage, Daphney-Stavroula Zois
, Charalampos Chelmis:
Automated Optimal Online Civil Issue Classification using Multiple Feature Sets. ACSSC 2019: 1591-1595 - [c56]Christopher Yong, Charalampos Chelmis, Wonhyung Lee, Daphney-Stavroula Zois
:
Understanding online civic engagement: a multi-neighborhood study of SeeClickFix. ASONAM 2019: 1048-1055 - [c55]Charalampos Chelmis, Mengfan Yao, Wonhyung Lee:
Web and society: a first look into the network of human service providers. ASONAM 2019: 1056-1063 - [c54]Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
RecANt: Network-based Recruitment for Active Fake News Correction. IEEE BigData 2019: 940-949 - [c53]Yasitha Warahena Liyanage, Daphney-Stavroula Zois
, Charalampos Chelmis, Mengfan Yao:
Automating the Classification of Urban Issue Reports: an Optimal Stopping Approach. ICASSP 2019: 3137-3141 - [c52]Yasitha Warahena Liyanage, Daphney-Stavroula Zois
, Charalampos Chelmis:
Robust Freeway Accident Detection: A Two-Stage Approach. ICASSP 2019: 3387-3391 - [c51]Charalampos Chelmis
, Mengfan Yao:
Minority Report: Cyberbullying Prediction on Instagram. WebSci 2019: 37-45 - [c50]Charalampos Chelmis, Mengfan Yao:
Creating Public Value by Democratizing the Ecosystem of Human Service Providers. WWW (Companion Volume) 2019: 231-236 - [c49]Mengfan Yao, Charalampos Chelmis, Daphney-Stavroula Zois
:
Lightning Talk-Towards Robust Detection of Cyberbullying in Social Media. WWW (Companion Volume) 2019: 1290-1291 - [c48]Mengfan Yao, Charalampos Chelmis
, Daphney-Stavroula Zois
:
Cyberbullying Ends Here: Towards Robust Detection of Cyberbullying in Social Media. WWW 2019: 3427-3433 - 2018
- [j10]Muhammad Rizwan Saeed, Charalampos Chelmis
, Viktor K. Prasanna:
ASQFor: Automatic SPARQL query formulation for the non-expert. AI Commun. 31(1): 19-32 (2018) - [c47]Daphney-Stavroula Zois
, Christopher Yong, Charalampos Chelmis, Angeliki Kapodistria, Wonhyung Lee:
Improving Monitoring of Participatory Civil Issue Requests through Optimal Online Classification. ACSSC 2018: 2034-2038 - [c46]Yasitha Warahena Liyanage, Daphney-Stavroula Zois
, Charalampos Chelmis:
Optimal Sequential Detection of Freeway Accidents. ACSSC 2018: 2055-2059 - [c45]Mengfan Yao, Charalampos Chelmis
, Daphney-Stavroula Zois
:
Cyberbullying Detection on Instagram with Optimal Online Feature Selection. ASONAM 2018: 401-408 - [c44]Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
FActCheck: Keeping Activation of Fake News at Check. AAMAS 2018: 2079-2081 - [c43]Yasitha Warahena Liyanage, Charalampos Chelmis, Daphney-Stavroula Zois
:
A Hierarchical Framework for Timely Freeway Accident Detection and Localization. IEEE BigData 2018: 1618-1623 - [c42]Yasitha Warahena Liyanage, Mengfan Yao, Christopher Yong, Daphney-Stavroula Zois
, Charalampos Chelmis:
What Matters the Most? Optimal Quick Classification of Urban Issue Reports by Importance. GlobalSIP 2018: 106-110 - [c41]Yasitha Warahena Liyanage, Daphney-Stavroula Zois
, Charalampos Chelmis:
Quickest Freeway Accident Detection Under Unknown Post-Accident Conditions. GlobalSIP 2018: 1238-1242 - [c40]Daphney-Stavroula Zois
, Angeliki Kapodistria, Mengfan Yao, Charalampos Chelmis:
Optimal Online Cyberbullying Detection. ICASSP 2018: 2017-2021 - [i1]Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K. Prasanna:
Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding. CoRR abs/1804.05184 (2018) - 2017
- [j9]Xian-He Sun, Marc Frîncu, Charalampos Chelmis
:
Special Issue on Scalable Computing Systems for Big Data Applications. J. Parallel Distributed Comput. 108: 1-2 (2017) - [c39]Alex Popa, Marc Frîncu, Charalampos Chelmis
:
A distributed algorithm for the efficient computation of the unified model of social influence on massive datasets. HPEC 2017: 1-7 - [c38]Charalampos Chelmis
, Daphney-Stavroula Zois
, Mengfan Yao:
Mining Patterns of Cyberbullying on Twitter. ICDM Workshops 2017: 126-133 - [c37]Charith Wickramaarachchi, Rajgopal Kannan, Charalampos Chelmis
, Viktor K. Prasanna:
PReSS towards a secure smart grid: Protection recommendations against smart spoofing. ISGT 2017: 1-5 - [c36]Charalampos Chelmis
, Reshul Dani:
ASSIST: Automatic Summarization of Significant Structural Changes in Large Temporal Graphs. WebSci 2017: 201-205 - [p1]Muhammad Rizwan Saeed, Charalampos Chelmis
, Viktor K. Prasanna:
Automatic Integration and Querying of Semantic Rich Heterogeneous Data: Laying the Foundations for Semantic Web of Things. Managing the Web of Things 2017: 251-273 - 2016
- [j8]Ajitesh Srivastava, Charalampos Chelmis
, Viktor K. Prasanna:
Computing competing cascades on signed networks. Soc. Netw. Anal. Min. 6(1): 82:1-82:14 (2016) - [j7]Ranjan Pal, Charalampos Chelmis
, Marc Frîncu, Viktor K. Prasanna:
MATCH for the Prosumer Smart Grid The Algorithmics of Real-Time Power Balance. IEEE Trans. Parallel Distributed Syst. 27(12): 3532-3546 (2016) - [j6]Ranjan Pal, Charalampos Chelmis
, Marc Frîncu, Viktor K. Prasanna:
Towards Dynamic Demand Response On Efficient Consumer Grouping Algorithmics. IEEE Trans. Sustain. Comput. 1(1): 20-34 (2016) - [c35]Saima Aman, Charalampos Chelmis, Viktor K. Prasanna:
Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble. AAAI Workshop: AI for Smart Grids and Smart Buildings 2016 - [c34]Charith Wickramaarachchi, Rajgopal Kannan, Charalampos Chelmis
, Viktor K. Prasanna:
Distributed exact subgraph matching in small diameter dynamic graphs. IEEE BigData 2016: 3360-3369 - [c33]Shijie Zhou, Charalampos Chelmis
, Viktor K. Prasanna:
High-Throughput and Energy-Efficient Graph Processing on FPGA. FCCM 2016: 103-110 - [c32]Sanmukh R. Kuppannagari
, Rajgopal Kannan, Charalampos Chelmis
, Arash Saber Tehrani, Viktor K. Prasanna:
Optimal Customer Targeting for Sustainable Demand Response in Smart Grids. ICCS 2016: 324-334 - [c31]Sanmukh R. Kuppannagari, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna:
Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid. IJCAI 2016: 4250-4251 - [c30]Muhammad Rizwan Saeed, Charalampos Chelmis, Viktor K. Prasanna:
Thou Shalt ASQFor and Shalt Receive the Semantic Answer. IJCAI 2016: 4264-4265 - [c29]Charalampos Chelmis, Sutanay Choudhury, Arindam Pal, Anand V. Panangadan, Weiqin Tong, Yinglong Xia:
ParLearning Introduction and Committees. IPDPS Workshops 2016: 1390-1391 - [c28]Charalampos Chelmis
, Rajgopal Kannan, Viktor K. Prasanna:
Software defined connected prosumer communities. WF-IoT 2016: 684-685 - [c27]Ajitesh Srivastava, Charalampos Chelmis
, Viktor K. Prasanna:
Mining Large Dense Subgraphs. WWW (Companion Volume) 2016: 111-112 - 2015
- [j5]Ajitesh Srivastava, Charalampos Chelmis
, Viktor K. Prasanna:
The unified model of social influence and its application in influence maximization. Soc. Netw. Anal. Min. 5(1): 66:1-66:15 (2015) - [c26]Saima Aman, Charalampos Chelmis, Viktor K. Prasanna:
Influence-Driven Model for Time Series Prediction from Partial Observations. AAAI 2015: 601-607 - [c25]Charalampos Chelmis, Saima Aman, Muhammad Rizwan Saeed, Marc Frîncu, Viktor K. Prasanna:
Estimating Reduced Consumption for Dynamic Demand Response. AAAI Workshop: Computational Sustainability 2015 - [c24]Ajitesh Srivastava, Charalampos Chelmis
, Viktor K. Prasanna:
Social Influence Computation and Maximization in Signed Networks with Competing Cascades. ASONAM 2015: 41-48 - [c23]Charalampos Chelmis
, Jahanvi Kolte, Viktor K. Prasanna:
Big data analytics for demand response: Clustering over space and time. IEEE BigData 2015: 2223-2232 - [c22]Charith Wickramaarachchi, Alok Gautam Kumbhare, Marc Frîncu, Charalampos Chelmis
, Viktor K. Prasanna:
Real-Time Analytics for Fast Evolving Social Graphs. CCGRID 2015: 829-834 - [c21]Ranjan Pal, Charalampos Chelmis
, Chandra Tadepalli, Marc Frîncu, Saima Aman, Viktor K. Prasanna:
Challenge: On Online Time Series Clustering for Demand Response: Optic - A Theory to Break the 'Curse of Dimensionality'. e-Energy 2015: 95-100 - [c20]Charalampos Chelmis
, Muhammad Rizwan Saeed, Marc Frîncu, Viktor K. Prasanna:
Curtailment Estimation Methods for Demand Response: Lessons Learned by Comparing Apples to Oranges. e-Energy 2015: 217-218 - [c19]Marc Frîncu, Charalampos Chelmis
, Muhammad Rizwan Saeed, Viktor K. Prasanna, Saima Aman, Vasileios Zois, Carol Fern, Aras Akbari:
Enabling Automated Dynamic Demand Response: From Theory to Practice. e-Energy 2015: 229-230 - [c18]Shijie Zhou, Charalampos Chelmis
, Viktor K. Prasanna:
Accelerating Large-Scale Single-Source Shortest Path on FPGA. IPDPS Workshops 2015: 129-136 - [c17]Charith Wickramaarachchi, Charalampos Chelmis
, Viktor K. Prasanna:
Empowering Fast Incremental Computation over Large Scale Dynamic Graphs. IPDPS Workshops 2015: 1166-1171 - [c16]Ajitesh Srivastava, Ren Chen, Viktor K. Prasanna, Charalampos Chelmis
:
A hybrid design for high performance large-scale sorting on FPGA. ReConFig 2015: 1-6 - [c15]Shijie Zhou, Charalampos Chelmis
, Viktor K. Prasanna:
Optimizing memory performance for FPGA implementation of pagerank. ReConFig 2015: 1-6 - [c14]Saima Aman, Marc Frîncu, Charalampos Chelmis
, Muhammad Usman Noor, Yogesh Simmhan
, Viktor K. Prasanna:
Prediction models for dynamic demand response: Requirements, challenges, and insights. SmartGridComm 2015: 338-343 - 2014
- [j4]Charalampos Chelmis, Hao Wu, Vikram Sorathia, Viktor K. Prasanna:
Semantic Social Network Analysis for the Enterprise. Comput. Informatics 33(3): 479-502 (2014) - [j3]Charalampos Chelmis
, Ajitesh Srivastava, Viktor K. Prasanna:
Computational models of technology adoption at the workplace. Soc. Netw. Anal. Min. 4(1): 199 (2014) - [c13]Ajitesh Srivastava, Charalampos Chelmis
, Viktor K. Prasanna:
Influence in social networks: A unified model? ASONAM 2014: 451-454 - [c12]Saima Aman, Charalampos Chelmis
, Viktor K. Prasanna:
Addressing data veracity in big data applications. IEEE BigData 2014: 1-3 - [c11]Marc Frîncu, Charalampos Chelmis
, Muhammad Usman Noor, Viktor K. Prasanna:
Accurate and efficient selection of the best consumption prediction method in smart grids. IEEE BigData 2014: 721-729 - [c10]Vasileios Zois, Marc Frîncu, Charalampos Chelmis
, Muhammad Rizwan Saeed, Viktor K. Prasanna:
Efficient customer selection for sustainable demand response in smart grids. IGCC 2014: 1-6 - 2013
- [j2]Charalampos Chelmis, Viktor K. Prasanna:
An empirical analysis of microblogging behavior in the enterprise. Soc. Netw. Anal. Min. 3(3): 611-633 (2013) - [j1]Charalampos Chelmis
, Viktor K. Prasanna:
Social Link Prediction in Online Social Tagging Systems. ACM Trans. Inf. Syst. 31(4): 20:1-20:27 (2013) - [c9]Charalampos Chelmis
, Viktor K. Prasanna:
The role of organization hierarchy in technology adoption at the workplace. ASONAM 2013: 8-15 - [c8]Hao Wu, Charalampos Chelmis
, Vikrambhai S. Sorathia
, Yinuo Zhang, Om Prasad Patri, Viktor K. Prasanna:
Enriching employee ontology for enterprises with knowledge discovery from social networks. ASONAM 2013: 1315-1322 - [c7]Charalampos Chelmis:
Complex modeling and analysis of workplace collaboration data. CTS 2013: 576-579 - [c6]Charalampos Chelmis
, Viktor K. Prasanna:
Exploring generative models of tripartite graphs for recommendation in social media. MSM 2013: 2:1-2:8 - 2012
- [c5]Charalampos Chelmis, Viktor K. Prasanna:
Microblogging in the Enterprise: A Few Comments are in Order. ASONAM 2012: 62-70 - [c4]Charalampos Chelmis, Vikrambhai S. Sorathia
, Viktor K. Prasanna:
Enterprise Wisdom Captured Socially. ASONAM 2012: 1228-1235 - [c3]Charalampos Chelmis, Viktor K. Prasanna:
Predicting Communication Intention in Social Networks. SocialCom/PASSAT 2012: 184-194 - 2011
- [c2]Charalampos Chelmis, Viktor K. Prasanna:
Social Networking Analysis: A State of the Art and the Effect of Semantics. SocialCom/PASSAT 2011: 531-536
2000 – 2009
- 2009
- [c1]Charalampos Chelmis:
Mutable Peer-to-Peer File Systems: Analysis and Evaluation. AP2PS 2009: 78-84
Coauthor Index
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