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. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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
  12. 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
  13. 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.
  14. 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)
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. I. Jayawardene, D. Roman, Y. Zhao, A.G. Ulyashin, A. Soylu, X. Ma Towards an Open Energy Management System for Integrated Energy Storage and Electric Vehicle Fast Charging Station. Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning (RuleML+RR-Companion 2024)
  21. Z. Liu, Q. Wang, J. Dang, X. Wang, K. Li, R. Avogadro, D. Roman, X. Ma Developing Deep Learning based Intelligent Perception Algorithm for Thickener Equipment Monitoring. Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning (RuleML+RR-Companion 2024)
  22. R. Avogadro, I. Jayawardene, X. Ma, A. Soylu, D. Roman Koala-UI: An Interactive User Interface for Tabular Data Linking. Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning (RuleML+RR-Companion 2024)
  23. Y. Zhu, N. Potyka, M. Nayyeri, B. Xiong, Y. He, E. Kharlamov, S. Staab. Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction EMNLP 2024 https://doi.org/10.48550/arXiv.2408.08226
  24. D. Wright, C. Igel, R. Selvan. BMRS: Bayesian Model Reduction for Structured Pruning. 38th Annual Conference on Neural Information Processing Systems (NeurIPS) https://doi.org/10.48550/arXiv.2406.01345
  25. F. De Paoli, R. Avogadro, M. Ripamonti, M. Palmonari. Interactive Enrichment of Tabular Data with SemTUI. ISWC 2024
  26. R. Avogadro, F. De Paoli, M. Palmonari, D. Roman. Semantic Data Enrichment: from Interactive Exploration to Scalable Deployment Extended Semantic Web Conference
  27. E. Motamedi, I. Novalija, L. Rei Classification of Patents Into Knowledge Fields: Using a Proposed Knowledge Mapping Taxonomy (KnowMap) SiKDD2024
  28. Makovec, Rei, Novalija Preparing AI for Compliance: Initial Steps of a Framework for Teaching LLMs to Reason About Compliance. Declarative AI 2024
  29. R. Selvan, B. Pepin, C. Igel, G. Samuel, E. (2025) Dam PePR: Performance Per Resource Unit as a Metric to Promote Small-scale Deep Learning in Medical Image Analysis Northern Lights Deep Learning Conference https://doi.org/10.48550/arXiv.2403.12562
  30. R. Pozzi, V. Barbera, R. A. Principe, D. Giardini, R. Rubini, M. Palmonari (2024) Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations Web Information Systems Engineering https://doi.org/10.1007/978-981-96-0567-5_30
  31. T. Chen, R. Selvan (2025) Is Adversarial Training with Compressed Datasets Effective? Scandinavian Conference on Image Analysis, Doi: 10.48550/arXiv.2402.05675
  32. N. Inie, J. Olsen, R. Selvan (2025) How Co2stly Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About It Conference on Human Factors in Computing Systems (CHI ’25), DOI:10.1145/3706598.3714227
  33. Lam, A. N.,  Avogadro, R, Martin-Recuerda, F., Brian Elvesæter, B., Ma, X.,  Nystad, E.J., Roman D., and A. J. Berre 𝐓𝐨𝐰𝐚𝐫𝐝𝐬 𝐚 𝐓𝐨𝐨𝐥𝐤𝐢𝐭 𝐟𝐨𝐫 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐈𝐧𝐭𝐞𝐫𝐨𝐩𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐩𝐚𝐜𝐞𝐬 IEEE International Conference on Industrial Cyber-Physical Systems (ICPS 2025) in Emden, Germany. https://www.sintef.no/en/publications/publication/2379502/
  34. Wilma Johanna Schmidt, Irlan Grangel-González, Tobias Huschle, Lena Wagner, Evgeny Kharlamov and Adrian Paschke MYAM: LLM-Supported Mapping Generation for Semantic Manufacturing Retrieval ESWC 2025 
  35. Wilma Johanna Schmidt, Irlan Grangel-González, Tobias Huschle, Lena Wagner, Evgeny Kharlamov and Adrian Paschke LLM-Supported Mapping Generation for Semantic Manufacturing Treasure Hunting ESWC 2025
  36. Y. Zhu Thesis Proposal: Uncertainty in Knowledge Graph Embeddings Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop) https://aclanthology.org/2025.naacl-srw.4/
  37. Yuqicheng Zhu, Nico Potyka, Jiarong Pan, Bo Xiong, Yunjie He, Evgeny Kharlamov, Steffen Staab Conformalized Answer Set Prediction for Knowledge Graph Embedding NAACL 2025 https://doi.org/10.48550/arXiv.2408.08248
  38. Yunjie He, Bo Xiong, Daniel Hernández, Yuqicheng Zhu, Evgeny Kharlamov, Steffen Staab DAGE: DAG Query Answering via Relational Combinator with Logical Constraints WWW 2025 https://doi.org/10.1145/3696410.3714677
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