Journal articles

• Casolo, S. (2022). Severe slugging flow identification from topological indicators. Digital Chemical Engineering. 
• Doan, T. M., Gulla, J. A. (2022). A Survey on Political Viewpoints Identification. Online Social Networks and Media.
• Gulla, J. A., Svendsen, R. D., Zhang, l., Stenbom, A. & Frøland, J. H. (2021). Recommending News in Traditional Media Companies. AI Magazine
• Barlaug, N. and J. A. Gulla (2021). Neural Networks for Entity Matching: A Survey. ACM Transactions on Knowledge Discovery from Data (TKDD) 15(3): 1-37.
• Liu, P., et al. (2021). Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis. ACM Transactions on Information Systems (TOIS) 39(2): 1-33.
• Tiwari, S., Ramampiaro, H., & Langseth, H. (2021). Machine Learning in Financial Market Surveillance: A Survey. IEEE Access.

Conference Proceedings

• Bayrak, B., Bach, K. (2022). When to Explain? Model Agnostic Explanation Using a Case-based Approach and Counterfactuals. Proceedings of the 34th Norwegian ICT conference for research and education – NIKT 2022. (In press)
• Knaus, T. (2022). The automation of affective data — Infrastructure and database practices of speech recognition software systems. Infrastructures of Autonomy Conference, Berlin, Germany
• Rønningstad, E., Øvrelid, L., Velldal, E. (2022). Entity-Level Sentiment Analysis (ELSA): An Exploratory Task Survey. Proceedings of the 29th International Conference on Computational Linguistics,
• Asad, H. A., Kraemer, F. A., Bach, K., Renner, C., Veiga, T. S. (2022). Learning attention models for resource-constrained, self-adaptive visual sensing applications. RACS '22: Proceedings of the Conference on Research in Adaptive and Convergent Systems.
• Chiusano, S., Cerquitelli, T., Wrembel, R, Nørvåg, K., Catania, B., Vargas-Solar, G. Zumpano E. (2022). New Trends in Database and Information Systems in ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5–8, 2022, Proceedings
• Bayrak, B., Marin-Veites, P., Bach, K. (2022). Explaining your Neighbourhood: A CBR Approach for Explaining Black-Box Models. CEUR workshop proceedings (In press)
• Flogard, E. F., Mengshoel, O. J., Bach, K. (2022). Creating Dynamic Checklists via Bayesian Case-Based Reasoning: Towards Decent Working Conditions for All. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence AI for Good. 
• Vlachou, A., Doulkeridis, C., Rocha-Junior, J. B., Nørvåg, K. (2022). On Decisive Skyline Queries in Lecture Notes in Computer Science book series (LNCS,volume 13428).
• Zhou, B., et al. (2022). The Data Value Quest: A Holistic Semantic Approach at Bosch in The Semantic Web: ESWC 2022 Satellite Events. ESWC 2022. Lecture Notes in Computer Science, vol 13384.
• Xing, Y., Cai, J., Barlaug, N., Liu, P., Gulla J. A. (2022). Balancing Multi-Domain Corporate Learning for Open-Domain Response Generation. Findings of the Association for Computational Linguistics: NAACL 2022 (pp. 2104–2120), Seattle, United States. Association for Computational Linguistics.
• Liu, P., Marco, C., Gulla, J. A. (2022). Building Sentiment Lexicons for Mainland Scandinavian Language Using Machine Translation and Sentence Embedding. Proceedings of the13th Conference on Language Resources and Evaluation (LREC 2022) (pp. 2816-2825).
• Doan, T. M., Kille, B., & Gulla, J. A. (2022). Using Language Models for Classifying the Party Affiliation of Political Texts. In International Conference on Applications of Natural Language to Information Systems (pp. 382-393). Springer, Cham.
• eds. Hagen, M., Verberne, S., Macdonald, C., Seifert, C., Balog, K., Nørvåg, K. Setty, V. (2022). Advances in Information Retrieval 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II
• eds. Hagen, M., Verberne, S., Macdonald, C., Seifert, C., Balog, K., Nørvåg, K. Setty, V. (2022). Advances in Information Retrieval 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part I
• Flogard, E. L., Mengshoel, O. J., & Bach, K. (2021, September). Bayesian feature construction for case-based reasoning: Generating good checklists. In International Conference on Case-Based Reasoning (pp. 94-109). Springer, Cham.
• Özgöbek, Ö., Lommatzsch, A., Kille, B., Liu, P., Pu, Z., & Gulla, J. A. (2021, September). 9th International Workshop on News Recommendation and Analytics. In Fifteenth ACM Conference on Recommender Systems (pp. 772-774).
• Xing, Y., et al. (2020). An Educational News Dataset for Recommender Systems. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer.
• Barlaug, N. (2020). Tailoring Entity Matching for Industrial Settings. Proceedings of the 29th ACM International Conference on Information & Knowledge Management.