Mutable Peer-to-Peer File Systems: Analysis and Evaluation. - Charalampos Chelmis (AP2PS, 2009)

Social Networking Analysis: A State of the Art and the Effect of Semantics. - Charalampos Chelmis; Viktor K. Prasanna (SocialCom/PASSAT, 2011)

Microblogging in the Enterprise: A Few Comments are in Order. - Charalampos Chelmis; Viktor K. Prasanna (ASONAM, 2012)

Enterprise Wisdom Captured Socially. - Charalampos Chelmis; Vikrambhai S. Sorathia; Viktor K. Prasanna (ASONAM, 2012)

Predicting Communication Intention in Social Networks. - Charalampos Chelmis; Viktor K. Prasanna (SocialCom/PASSAT, 2012)

The role of organization hierarchy in technology adoption at the workplace. - Charalampos Chelmis; Viktor K. Prasanna (ASONAM, 2013)

Enriching employee ontology for enterprises with knowledge discovery from social networks. - Hao Wu; Charalampos Chelmis; Vikrambhai S. Sorathia; Yinuo Zhang; Om Prasad Patri; Viktor K. Prasanna (ASONAM, 2013)

Complex modeling and analysis of workplace collaboration data. - Charalampos Chelmis (CTS, 2013)

Exploring generative models of tripartite graphs for recommendation in social media. - Charalampos Chelmis; Viktor K. Prasanna (MSM, 2013)

An empirical analysis of microblogging behavior in the enterprise. - Charalampos Chelmis; Viktor K. Prasanna (Soc. Netw. Anal. Min., 2013)

Social Link Prediction in Online Social Tagging Systems. - Charalampos Chelmis; Viktor K. Prasanna (ACM Trans. Inf. Syst., 2013)

Influence in social networks: A unified model? - Ajitesh Srivastava; Charalampos Chelmis; Viktor K. Prasanna (ASONAM, 2014)

Addressing data veracity in big data applications. - Saima Aman; Charalampos Chelmis; Viktor K. Prasanna (IEEE BigData, 2014)

Accurate and efficient selection of the best consumption prediction method in smart grids. - Marc Frîncu; Charalampos Chelmis; Muhammad Usman Noor; Viktor K. Prasanna (IEEE BigData, 2014)

Efficient customer selection for sustainable demand response in smart grids. - Vasileios Zois; Marc Frîncu; Charalampos Chelmis; Muhammad Rizwan Saeed; Viktor K. Prasanna (IGCC, 2014)

Semantic Social Network Analysis for the Enterprise. - Charalampos Chelmis; Hao Wu; Vikram Sorathia; Viktor K. Prasanna (Comput. Informatics, 2014)

Computational models of technology adoption at the workplace. - Charalampos Chelmis; Ajitesh Srivastava; Viktor K. Prasanna (Soc. Netw. Anal. Min., 2014)

Influence-Driven Model for Time Series Prediction from Partial Observations. - Saima Aman; Charalampos Chelmis; Viktor K. Prasanna (AAAI, 2015)

Estimating Reduced Consumption for Dynamic Demand Response. - Charalampos Chelmis; Saima Aman; Muhammad Rizwan Saeed; Marc Frîncu; Viktor K. Prasanna (AAAI Workshop: Computational Sustainability, 2015)

Social Influence Computation and Maximization in Signed Networks with Competing Cascades. - Ajitesh Srivastava; Charalampos Chelmis; Viktor K. Prasanna (ASONAM, 2015)

Big data analytics for demand response: Clustering over space and time. - Charalampos Chelmis; Jahanvi Kolte; Viktor K. Prasanna (IEEE BigData, 2015)

Real-Time Analytics for Fast Evolving Social Graphs. - Charith Wickramaarachchi; Alok Gautam Kumbhare; Marc Frîncu; Charalampos Chelmis; Viktor K. Prasanna (CCGRID, 2015)

Curtailment Estimation Methods for Demand Response: Lessons Learned by Comparing Apples to Oranges. - Charalampos Chelmis; Muhammad Rizwan Saeed; Marc Frîncu; Viktor K. Prasanna (e-Energy, 2015)

Enabling Automated Dynamic Demand Response: From Theory to Practice. - Marc Frîncu; Charalampos Chelmis; Muhammad Rizwan Saeed; Viktor K. Prasanna; Saima Aman; Vasileios Zois; Carol Fern; Aras Akbari (e-Energy, 2015)

Challenge: On Online Time Series Clustering for Demand Response: Optic - A Theory to Break the 'Curse of Dimensionality'. - Ranjan Pal; Charalampos Chelmis; Chandra Tadepalli; Marc Frîncu; Saima Aman; Viktor K. Prasanna (e-Energy, 2015)

Empowering Fast Incremental Computation over Large Scale Dynamic Graphs. - Charith Wickramaarachchi; Charalampos Chelmis; Viktor K. Prasanna (IPDPS Workshops, 2015)

Accelerating Large-Scale Single-Source Shortest Path on FPGA. - Shijie Zhou 001; Charalampos Chelmis; Viktor K. Prasanna (IPDPS Workshops, 2015)

A hybrid design for high performance large-scale sorting on FPGA. - Ajitesh Srivastava; Ren Chen; Viktor K. Prasanna; Charalampos Chelmis (ReConFig, 2015)

Optimizing memory performance for FPGA implementation of pagerank. - Shijie Zhou 001; Charalampos Chelmis; Viktor K. Prasanna (ReConFig, 2015)

Prediction models for dynamic demand response: Requirements, challenges, and insights. - Saima Aman; Marc Frîncu; Charalampos Chelmis; Muhammad Usman Noor; Yogesh Simmhan; Viktor K. Prasanna (SmartGridComm, 2015)

The unified model of social influence and its application in influence maximization. - Ajitesh Srivastava; Charalampos Chelmis; Viktor K. Prasanna (Soc. Netw. Anal. Min., 2015)

Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble. - Saima Aman; Charalampos Chelmis; Viktor K. Prasanna (AAAI Workshop: AI for Smart Grids and Smart Buildings, 2016)

Distributed exact subgraph matching in small diameter dynamic graphs. - Charith Wickramaarachchi; Rajgopal Kannan; Charalampos Chelmis; Viktor K. Prasanna (IEEE BigData, 2016)

High-Throughput and Energy-Efficient Graph Processing on FPGA. - Shijie Zhou 001; Charalampos Chelmis; Viktor K. Prasanna (FCCM, 2016)

Optimal Customer Targeting for Sustainable Demand Response in Smart Grids. - Sanmukh R. Kuppannagari; Rajgopal Kannan; Charalampos Chelmis; Arash Saber Tehrani; Viktor K. Prasanna (ICCS, 2016)

Implementation of Learning-Based Dynamic Demand Response on a Campus Micro-Grid. - Sanmukh R. Kuppannagari; Rajgopal Kannan; Charalampos Chelmis; Viktor K. Prasanna (IJCAI, 2016)

Thou Shalt ASQFor and Shalt Receive the Semantic Answer. - Muhammad Rizwan Saeed; Charalampos Chelmis; Viktor K. Prasanna (IJCAI, 2016)

ParLearning Introduction and Committees. - Charalampos Chelmis; Sutanay Choudhury; Arindam Pal 001; Anand V. Panangadan; Weiqin Tong; Yinglong Xia (IPDPS Workshops, 2016)

Software defined connected prosumer communities. - Charalampos Chelmis; Rajgopal Kannan; Viktor K. Prasanna (WF-IoT, 2016)

Mining Large Dense Subgraphs. - Ajitesh Srivastava; Charalampos Chelmis; Viktor K. Prasanna (WWW (Companion Volume), 2016)

Computing competing cascades on signed networks. - Ajitesh Srivastava; Charalampos Chelmis; Viktor K. Prasanna (Soc. Netw. Anal. Min., 2016)

MATCH for the Prosumer Smart Grid The Algorithmics of Real-Time Power Balance. - Ranjan Pal; Charalampos Chelmis; Marc Frîncu; Viktor K. Prasanna (IEEE Trans. Parallel Distributed Syst., 2016)

Towards Dynamic Demand Response On Efficient Consumer Grouping Algorithmics. - Ranjan Pal; Charalampos Chelmis; Marc Frîncu; Viktor K. Prasanna (IEEE Trans. Sustain. Comput., 2016)

Automatic Integration and Querying of Semantic Rich Heterogeneous Data: Laying the Foundations for Semantic Web of Things. - Muhammad Rizwan Saeed; Charalampos Chelmis; Viktor K. Prasanna (Managing the Web of Things, 2017)

A distributed algorithm for the efficient computation of the unified model of social influence on massive datasets. - Alex Popa; Marc Frîncu; Charalampos Chelmis (HPEC, 2017)

Mining Patterns of Cyberbullying on Twitter. - Charalampos Chelmis; Daphney-Stavroula Zois; Mengfan Yao (ICDM Workshops, 2017)

PReSS towards a secure smart grid: Protection recommendations against smart spoofing. - Charith Wickramaarachchi; Rajgopal Kannan; Charalampos Chelmis; Viktor K. Prasanna (ISGT, 2017)

ASSIST: Automatic Summarization of Significant Structural Changes in Large Temporal Graphs. - Charalampos Chelmis; Reshul Dani (WebSci, 2017)

Special Issue on Scalable Computing Systems for Big Data Applications. - Xian-He Sun; Marc Frîncu; Charalampos Chelmis (J. Parallel Distributed Comput., 2017)

Optimal Sequential Detection of Freeway Accidents. - Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis (ACSSC, 2018)

Improving Monitoring of Participatory Civil Issue Requests through Optimal Online Classification. - Daphney-Stavroula Zois; Christopher Yong; Charalampos Chelmis; Angeliki Kapodistria; Wonhyung Lee (ACSSC, 2018)

Cyberbullying Detection on Instagram with Optimal Online Feature Selection. - Mengfan Yao; Charalampos Chelmis; Daphney-Stavroula Zois (ASONAM, 2018)

FActCheck: Keeping Activation of Fake News at Check. - Ajitesh Srivastava; Rajgopal Kannan; Charalampos Chelmis; Viktor K. Prasanna (AAMAS, 2018)

A Hierarchical Framework for Timely Freeway Accident Detection and Localization. - Yasitha Warahena Liyanage; Charalampos Chelmis; Daphney-Stavroula Zois (IEEE BigData, 2018)

What Matters the Most? Optimal Quick Classification of Urban Issue Reports by Importance. - Yasitha Warahena Liyanage; Mengfan Yao; Christopher Yong; Daphney-Stavroula Zois; Charalampos Chelmis (GlobalSIP, 2018)

Quickest Freeway Accident Detection Under Unknown Post-Accident Conditions. - Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis (GlobalSIP, 2018)

Optimal Online Cyberbullying Detection. - Daphney-Stavroula Zois; Angeliki Kapodistria; Mengfan Yao; Charalampos Chelmis (ICASSP, 2018)

ASQFor: Automatic SPARQL query formulation for the non-expert. - Muhammad Rizwan Saeed; Charalampos Chelmis; Viktor K. Prasanna (AI Commun., 2018)

Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding. - Muhammad Rizwan Saeed; Charalampos Chelmis; Viktor K. Prasanna (CoRR, 2018)

Automated Optimal Online Civil Issue Classification using Multiple Feature Sets. - Imara Nazar; Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis (ACSSC, 2019)

Web and society: a first look into the network of human service providers. - Charalampos Chelmis; Mengfan Yao; Wonhyung Lee (ASONAM, 2019)

Understanding online civic engagement: a multi-neighborhood study of SeeClickFix. - Christopher Yong; Charalampos Chelmis; Wonhyung Lee; Daphney-Stavroula Zois (ASONAM, 2019)

RecANt: Network-based Recruitment for Active Fake News Correction. - Ajitesh Srivastava; Rajgopal Kannan; Charalampos Chelmis; Viktor K. Prasanna (IEEE BigData, 2019)

Robust Freeway Accident Detection: A Two-Stage Approach. - Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis (ICASSP, 2019)

Automating the Classification of Urban Issue Reports: an Optimal Stopping Approach. - Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis; Mengfan Yao (ICASSP, 2019)

Minority Report: Cyberbullying Prediction on Instagram. - Charalampos Chelmis; Mengfan Yao (WebSci, 2019)

Creating Public Value by Democratizing the Ecosystem of Human Service Providers. - Charalampos Chelmis; Mengfan Yao (WWW (Companion Volume), 2019)

Cyberbullying Ends Here: Towards Robust Detection of Cyberbullying in Social Media. - Mengfan Yao; Charalampos Chelmis; Daphney-Stavroula Zois (WWW, 2019)

Lightning Talk-Towards Robust Detection of Cyberbullying in Social Media. - Mengfan Yao; Charalampos Chelmis; Daphney-Stavroula Zois (WWW (Companion Volume), 2019)

Extracting entity-specific substructures for RDF graph embeddings. - Muhammad Rizwan Saeed; Charalampos Chelmis; Viktor K. Prasanna (Semantic Web, 2019)

Knowing When to Stop: Joint Heterogeneous Feature Selection and Classification. - Imara Nazar; Daphney-Stavroula Zois; Charalampos Chelmis (ACSSC, 2020)

On-The-Fly Feature Selection and Classification with Application to Civic Engagement Platforms. - Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis (ICASSP, 2020)

Sequential Heterogeneous Feature Selection for Multi-Class Classification: Application in Government 2.0. - Imara Nazar; Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis (MLSP, 2020)

On-the-Fly Joint Feature Selection and Classification. - Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis (CoRR, 2020)

Peeking through the homelessness system with a network science lens. - Charalampos Chelmis; Khandker Sadia Rahman (ASONAM, 2021)

Hierarchical MultiClass AdaBoost. - Charalampos Chelmis; Wenting Qi (IEEE BigData, 2021)

Improving Algorithmic Decision-Making in the Presence of Untrustworthy Training Data. - Wenting Qi; Charalampos Chelmis (IEEE BigData, 2021)

Challenges and Opportunities in Using Data Science for Homelessness Service Provision. - Charalampos Chelmis; Wenting Qi; Wonhyung Lee (WWW (Companion Volume), 2021)

Dynamic Instance-wise Joint Feature Selection and Classification. - Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis (IEEE Trans. Artif. Intell., 2021)

Dynamic Instance-Wise Classification in Correlated Feature Spaces. - Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis (IEEE Trans. Artif. Intell., 2021)

Dynamic, Incremental, and Continuous Detection of Cyberbullying in Online Social Media. - Charalampos Chelmis; Daphney-Stavroula Zois (ACM Trans. Web, 2021)

Computational Models for Cascades in Massive Graphs. - Ajitesh Srivastava; Charalampos Chelmis; Viktor K. Prasanna (Massive Graph Analytics, 2022)

IEEE/ACM ASONAM 2022: Welcome from the ASONAM 2022 Program Chairs. - Jisun An; Charalampos Chelmis; Walid Magdy (ASONAM, 2022)

Learning to Predict Transitions within the Homelessness System from Network Trajectories. - Khandker Sadia Rahman; Charalampos Chelmis (ASONAM, 2022)

Robust Learning with Noisy Label Detection and Counterfactual Correction. - Wenting Qi; Charalampos Chelmis (IEEE Big Data, 2022)

Label Denoising and Counterfactual Explanation with A Plug and Play Framework. - Wenting Qi; Charalampos Chelmis (IEEE Big Data, 2022)

Near Real-Time Freeway Accident Detection. - Yasitha Warahena Liyanage; Daphney-Stavroula Zois; Charalampos Chelmis (IEEE Trans. Intell. Transp. Syst., 2022)

Hybrid Loss for Hierarchical Multi-label Classification Network. - Wenting Qi; Charalampos Chelmis (IEEE Big Data, 2023)

Online Hierarchical Multi-label Classification. - Wenting Qi; Charalampos Chelmis (IEEE Big Data, 2023)

Sequential Datum-Wise Joint Feature Selection and Classification in the Presence of External Classifier. - Sachini Piyoni Ekanayake; Daphney-Stavroula Zois; Charalampos Chelmis (ICASSP, 2023)

Bayesian Network Modeling and Prediction of Transitions Within the Homelessness System. - Khandker Sadia Rahman; Daphney-Stavroula Zois; Charalampos Chelmis (ICASSP, 2023)

Recipe Networks and the Principles of Healthy Food on the Web. - Charalampos Chelmis; Bedirhan Gergin (ICWSM, 2023)

Evaluating algorithmic homeless service allocation. - Wenting Qi; Charalampos Chelmis (J. Comput. Soc. Sci., 2023)

Modeling and predicting individual transitions within the homelessness system. - Khandker Sadia Rahman; Charalampos Chelmis (Soc. Netw. Anal. Min., 2023)

Reject Inference as a Noisy Label Detection and Counterfactual Correction Task. - Charalampos Chelmis; Mahsa Azarshab; Khandker Sadia Rahman; Mehrdad Mirpourian (IEEE Big Data, 2024)

Large-Scale Knowledge Graph Embeddings in Apache Spark. - Bedirhan Gergin; Charalampos Chelmis (IEEE Big Data, 2024)

SparkKG-ML: A Library to Facilitate End-to-End Large-Scale Machine Learning Over Knowledge Graphs in Python. - Bedirhan Gergin; Charalampos Chelmis (ISWC (3), 2024)

Noisy Label Detection and Counterfactual Correction. - Wenting Qi; Charalampos Chelmis (IEEE Trans. Artif. Intell., 2024)

Why Do Some Homeless Succeed While Others Falter? A Network Science Perspective. - Charalampos Chelmis; Khandker Sadia Rahman (IEEE Trans. Comput. Soc. Syst., 2024)

Sequential Datum-wise Feature Acquisition and Classifier Selection. - Sachini Piyoni Ekanayake; Daphney-Stavroula Zois; Charalampos Chelmis (IEEE Trans. Artif. Intell., 2024)

Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach. - Khandker Sadia Rahman; Charalampos Chelmis (AAAI, 2025)