default search action
Charalampos Chelmis
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 2024
- [c74]Bedirhan Gergin, Charalampos Chelmis:
SparkKG-ML: A Library to Facilitate End-to-End Large-Scale Machine Learning Over Knowledge Graphs in Python. ISWC (3) 2024: 3-19 - 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
- [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 - 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 - 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 - 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
- [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 - 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 - 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
- [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
- [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
- [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 - 2009
- [c1]Charalampos Chelmis:
Mutable Peer-to-Peer File Systems: Analysis and Evaluation. AP2PS 2009: 78-84
Parts in Books or Collections
- 2022
- [p2]Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna:
Computational Models for Cascades in Massive Graphs. Massive Graph Analytics 2022: 377-395 - 2017
- [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
Informal and Other Publications
- 2021
- [i3]Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis:
Dynamic Instance-Wise Classification in Correlated Feature Spaces. CoRR abs/2106.04668 (2021) - 2020
- [i2]Yasitha Warahena Liyanage, Daphney-Stavroula Zois, Charalampos Chelmis:
On-the-Fly Joint Feature Selection and Classification. CoRR abs/2004.10245 (2020) - 2018
- [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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-23 20:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint