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Scientific Publications
Scientific publications
Journal articles
2022
2021
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
2022
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.
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
2021
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).
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