Charalampos Chelmis

Lee, W. ., Gross, K. ., Chelmis, C. ., & Zois, D.-S. . (2022). Community-engaged technology development for bridging service users and service providers: lessons from the field. Journal of Community Practice, 30(3), 13. http://doi.org/10.1080/10705422.2022.2101573

Rahman, K. S., & Chelmis, C. . (2022). Learning to Predict Transitions within the Homelessness System from Network Trajectories. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (p. 5). http://doi.org/10.1109/ASONAM55673.2022.10068708

Qi, W. ., & Chelmis, C. . (2022). Robust Learning with Noisy Label Detection and Counterfactual Correction. In IEEE International Conference on Big Data (p. 6). http://doi.org/10.1109/BigData55660.2022.10020228

Qi, W. ., & Chelmis, C. . (2022). Label Denoising and Counterfactual Explanation with A Plug and Play Framework. In IEEE International Conference on Big Data (p. 6). http://doi.org/10.1109/BigData55660.2022.10020488

Qi, W. ., & Chelmis, C. . (2023). Noisy Label Detection and Counterfactual Correction. IEEE Transactions on Artificial Intelligence, 13. http://doi.org/10.1109/TAI.2023.3271963

Qi, W. ., & Chelmis, C. . (2023). Evaluating algorithmic homeless service allocation. Journal of Computational Social Science, 6(1), 31. http://doi.org/10.1007/s42001-022-00190-8

Ekanayake, S. P., Zois, D. ., & Chelmis, C. . (2023). Sequential Datum–Wise Joint Feature Selection and Classification in the Presence of External Classifier. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. 5). http://doi.org/10.1109/ICASSP49357.2023.10097057

Rahman, K. S., Zois, D.-S. ., & Chelmis, C. . (2023). Bayesian Network Modeling and Prediction of Transitions Within the Homelessness System. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (p. 5). http://doi.org/10.1109/ICASSP49357.2023.10096948

Chelmis, C. ., & Rahman, K. S. (2023). Why Do Some Homeless Succeed While Others Falter? A Network Science Perspective. IEEE Transactions on Computational Social Systems, 10. http://doi.org/10.1109/TCSS.2023.3296376

Rahman, K. S., & Chelmis, C. . (2023). Modeling and predicting individual transitions within the homelessness system. Social Network Analysis and Mining, 13(1). http://doi.org/10.1007/s13278-023-01083-y