CONFERENCE PAPERS

  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. I. Gorton, F. Khomh, V. Lenarduzzi, C. Menghi, D. Roman Software Architectures for AI Systems: State of Practice and Challenges Software Architecture https://doi.org/10.1007/978-3-031-36847-9_2
  6. R. Selvan, Julian Schon, Erik Dam Operating Critical Machine Learning Models in Resource Constrained Regimes Resource Efficient Medical Image Analysis workshop at MICCAI-2023. https://doi.org/10.1007/978-3-031-47425-5_29
  7. 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.
  8. A. Q. Khan et al., Towards Graph-based Cloud Cost Modelling and Optimisation, 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), Torino, Italy, 2023, pp. 1337-1342, https://10.1109/COMPSAC57700.2023.00203.
  9. 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.
  10. 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.
  11. 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.
  12. D. Rincon-Yanez, M. H. Gad-Elrab, D. Stepanova, K.Tran, C. C. Xuan, B. Zhou, E. Kharlamov (2023). Addressing the Scalability Bottleneck of Semantic Technologies at Bosch. Extended Semantic Web Conference. CoRR abs/2309.10550.
  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. 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.
  16. Gultekin, A. Globo, A. Zugarini, M. Ernandes, Leonardo Rigutini (2024) An energy-based comparative analysis of common approaches to text classification in the Legal domain. The 4th International Conference on NLP & Text Mining (NLTM 2024)
  17. E. Hristov, D. Petrova-Antonova, F. De Paoli, I. Krasteva, M. Ciavotta, R. Avogadro (2024) Geospatial Data Enrichment through Address Geocoding: Challenges and Solutions. ISPRS Technical Commission IV Symposium 2024
  18. Eliassen, R. Selvan (2024) Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization. International Conference on Acoustics, Speech and Signal Processing (ICASSP-2024).https://doi.org/10.1109/ICASSP48485.2024.10446393
  19. Bakhtiarifard, C. Igel, R. Selvan (2024) EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search. International Conference on Acoustics, Speech and Signal Processing (ICASSP-2024) https://doi.org/10.1109/ICASSP48485.2024.10448303
  20. H.T. Mai, C.X. Chu, H. Paulheim Do LLMs Really Adapt to Domains? An Ontology Learning Perspective ISWC 2024 https://doi.org/10.48550/arXiv.2407.19998
  21. F. Moiraghi, M. Palmonari, D. Allavena, F. Morando Zero-Shot Hierarchical Classification on the Common Procurement Vocabulary Taxonomy COMPSAC n/a https://arxiv.org/pdf/2405.09983
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