Publications

Please find our computer science publications before 2001 at DBLP and our life science and application-related publications before 2001 at PubMed.

2022

Pensel, L., and Kramer, S. (2022). Neural RELAGGS. Author/Publisher URL
Garcon, A., Vexler, J., Budker, D., and Kramer, S. (2022). Deep neural networks to recover unknown physical parameters from oscillating time series. PLOS ONE, 17(5). DOI Author/Publisher URL

2021

Christodoulou, G., Bouros, P., and Mamoulis, N. (2021). HINT: A Hierarchical Index for Intervals in Main Memory. Author/Publisher URL
Althaus, E., Dousti, M. S., Kramer, S., and Rassau, N. J. P. (2021). Fast Private Parameter Learning and Inference for Sum-Product Networks. Author/Publisher URL
Tsitsigkos, D., Lampropoulos, K., Bouros, P., et al. (2021, April). A Two-layer Partitioning for Non-point Spatial Data. 2021 IEEE 37th International Conference on Data Engineering (ICDE). Published. 2021 IEEE 37th International Conference on Data Engineering (ICDE). DOI
Bouros, P., Dasu, T., Kanza, Y., et al. (2021). The Fourth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising. SIGSPATIAL Special, 12(3), 7-10. DOI
Garcon, A., Vexler, J., Budker, D., Kramer, S. (2021). Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series. Author/Publisher URL
Bouros, P., Mamoulis, N., Tsitsigkos, D., Terrovitis, M. (2021). In-Memory Interval Joins. VLDB JOURNAL, 30(4), 667-691. DOI Author/Publisher URL

2020

Qi, S., Bouros, P., Mamoulis, N. (2020, July 7). Top-k String Similarity Joins. 32nd International Conference on Scientific and Statistical Database Management. Published. SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management. DOI
Tsitsigkos, D., Lampropoulos, K., Bouros, P., et al. (2020). A Two-level Spatial In-Memory Index. Author/Publisher URL
Bouros, P., Lampropoulos, K., Tsitsigkos, D., et al. (2020). Band Joins for Interval Data. In A. Bonifati, Y. Zhou, M. A. V. Salles, et al. (eds.), Proceedings of the 23rd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020 (pp. 443-446). OpenProceedings.org. DOI
Chondrogiannis, T., Bouros, P., Gamper, J., et al. (2020). Finding k-shortest paths with limited overlap. VLDB JOURNAL, 29(5), 1023-1047. DOI Author/Publisher URL
Costa, C. F., Chondrogiannis, T., Nascimento, M. A., Bouros, P. (2020). RRAMEN: An Interactive Tool for Evaluating Choices and Changes in Transportation Networks. In A. Bonifati, Y. Zhou, M. A. V. Salles, et al. (eds.), Proceedings of the 23rd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020 (pp. 599-602). OpenProceedings.org. DOI
Qi, S., Bouros, P., Mamoulis, N. (2020). Top-k spatial distance joins. GEOINFORMATICA, 24(3), 591-631. DOI Author/Publisher URL

2019

Chondrogiannis, T., Nascimento, M. A., and Bouros, P. (2019, November 5). Relative Reachability Analysis as a Tool for Urban Mobility Planning. Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science. Published. SIGSPATIAL ’19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. DOI
Tsitsigkos, D., Bouros, P., Mamoulis, N., and Terrovitis, M. (2019). Parallel In-Memory Evaluation of Spatial Joins. Author/Publisher URL
Bouros, P., and Mamoulis, N. (2019). Spatial joins. SIGSPATIAL Special, 11(1), 13-21. DOI
Bouros, P., Renz, M., and Sacharidis, D. (2019). LocalRec 2018 workshop report the second ACM SIGSPATIAL workshop on recommendations for location-based services and social networks <sup>*</sup> Seattle, Washington, USA - November 6, 2018. SIGSPATIAL Special, 10(3), 23-25. DOI
Chamani, J. G., Dousti, M. S., Jalili, R., and Papadopoulos, D. (2019). SESOS: A Verifiable Searchable Outsourcing Scheme for Ordered Structured Data in Cloud Computing. ISECURE-ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 11(1), 15-34. Author/Publisher URL
Vexler, J., and Kramer, S. (2019). Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption. In Discovery Science (pp. 533-543). Springer International Publishing. DOI