PUBLICATIONS

    1. Massri, M.Besher, Spahiu, Blerina, Grobelnik, Marko, Alexiev, Vladimir, Palmonari, Matteo, & Roman, Dumitru. (2023). Towards InnoGraph: A Knowledge Graph for AI Innovation. 3rd International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (Sci-K 2023), Austin, Texas, USA. https://doi.org/10.1145/3543873.3587614
    2. Buza, Krisztian. (2023). Data Augmentation Does Not Necessarily Beat a Smart Algorithm. 12th Japanese-Hungarian Symposium on Discrete Mathematics and Its Applications. https://doi.org/10.5281/zenodo.8010581
    3. Buza, Krisztian Antal. (2023). Time Series Forecasting with Distortion-Aware Convolutional Neural Networks. 9th SIGKDD International Workshop on Mining and Learning from Time Series. https://doi.org/10.5281/zenodo.8186597
    4. Buza, Krisztian Antal. (2023). Classification of Sparse and Irregularly Sampled Time Series with Convolutional Neural Networks. 9th SIGKDD International Workshop on Mining and Learning from Time Series. https://doi.org/10.5281/zenodo.8186573
    5. R. Avogadro, M. Ciavotta, F. De Paoli, M. Palmonari and D. Roman (2023). Estimating Link Confidence for Human-in-the-loop Table Annotation. IEEE/WIC International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Venice, Italy, 2023.
    6. Nikolay Nikolov, Arnor Solberg, Radu Prodan, Ahmet Soylu, Mihhail Matskin, Dumitru Roman (2023). Container-based Data Pipelines on the Computing Continuum for Remote Patient Monitoring. IEEE Computer Magazine. Special issue on Computing in Telemedicine.
    7. Software, and Applications Conference (COMPSAC), Torino, Italy, 2023, pp. 1337-1342, https://10.1109/COMPSAC57700.2023.00203.
    8. Gorton, I., Khomh, F., Lenarduzzi, V., Menghi, C., Roman, D. (2023). Software Architectures for AI Systems: State of Practice and Challenges. In: Pelliccione, P., Kazman, R., Weber, I., Liu, A. (eds) Software Architecture. Springer, Cham. https://doi.org/10.1007/978-3-031-36847-9_2.
    9. Khan, A.Q.; Nikolov, N.; Matskin, M.; Prodan, R.; Roman, D.; Sahin, B.; Bussler, C.; Soylu, A. Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines. Sensors 2023, 23, 564. https://doi.org/10.3390/s23020564.
    10. A. Klironomos, B. Zhou, Z, Tan, Z. Zheng, G. Mohamed, H. Paulheim and E. Kharlamov (2023). ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics. Extended Semantic Web Conference. https://doi.org/10.48550/arXiv.2305.02966.
    11. Zhou, B., Nikolov, N., Zheng, Z., Luo, X., Savkovic, O., Roman, D., Soylu, A., and Kharlamov, E. (2023). Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case. The 22nd International Semantic Web Conference. Athens, Greece. ArXiv, abs/2308.01094.
    12. Z. Tan, B. Zhou, Z. Zheng, O. Savkovic, Z. Huang, I. Gonzalez, A. Soylu, and Evgeny Kharlamov (2023). Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case. The 22nd International Semantic Web Conference. Athens, Greece. https://doi.org/10.48550/arXiv.2308.01105.
    13. Rincon-Yanez, D. et al. (2023). Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. In: Pesquita, C., et al. The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023. Lecture Notes in Computer Science, vol 13998. Springer, Cham. https://doi.org/10.1007/978-3-031-43458-7_33
    14. C.X. Chu, M.H. Gad-Elrab, T.K. Tran, M. Schiller, E. Kharlamov, D. Stepanova (2023). Supplier Optimization at Bosch with Knowledge Graphs and Answer Set Programming. n: Pesquita, C., et al. The Semantic Web: ESWC 2023 Satellite Events. ESWC 2023. Lecture Notes in Computer Science, vol 13998. Springer, Cham. https://doi.org/10.1007/978-3-031-43458-7_38
    15. Spahiu, Blerina et al. ‘Understanding the Structure of Knowledge Graphs with ABSTAT Profiles’. 1 Jan. 2023 : 1 – 27.
    16. R. Avogadro, M. Ciavotta, F. De Paoli, M. Palmonari, D. Roman (2023). Estimating Link Confidence for Human-in-the-loop Table Annotation. In proceeding of the 22nd IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology, Venice, Italy, 26-29 October 2023.
    17. Gultekin, S., Globo, A., Zugarini, A., Ernandes, M., & Rigutini, L. (2023). An energy-based comparative analysis of common approaches to text classification in the Legal domain. ArXiv, abs/2311.01256
    18. I. Krasteva, et al., “Geospatial Enrichment of Urban Data for Advanced City Planning: a Pilot Study,” in 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023 pp. 3139-3143.
      doi: 10.1109/BigData59044.2023.10386822
    19. V. Alexiev, B. Bechev and A. Ositsyn. The InnoGraph Artificial Intelligence Taxonomy Full-Length White Paper. White paper, 2023
    20. Eliassen, S.; Selvan, R. Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization, 2024.
    21. Bakhtiarifard, P.; Igel, C.; Selvan, R. EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search, 2024.
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