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Scientific Publications - Master theses
Scientific publications
2024
2025
Aalbu, Kjersti; Bauer, Susanne (2025). Data Infrastructures, International Organizations, and the Politics of Amendment . Big Data & Society, Sage Journals
Hassan, Reda Hemdan Mahmoud; Nguyen, Minh Thu Nhien; Finserås, Stine Rasdal; Adde, Lars; Strumke, Inga; Støen, Ragnhild (2025). Unlocking the black box: Enhancing human-AI collaboration in high-stakes healthcare scenarios through explainable AI , Technological Forecasting and Social Change
Michałowska, Katarzyna; Goswami, Somdatta; Karniadakis, George Em; Riemer-Sørensen, Signe (2025). Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks , Neurocomputing
2024
Bauer, Susanne (2024). Seeing Like a Model Fish: How Digital Extractions Mediate Metabolic Relations . Science, Technology, & Human Values
Bayrak, Betül; Bach, Kerstin (2024). Evaluation of Instance-based Explanations: An In-depth Analysis of Counterfactual Evaluation Metrics, Challenges, and the CEval Toolkit. IEEE Access.
Doan, Tu My; Baumgartner, David; Kille, Benjamin Uwe; Gulla, Jon Atle (2024). Automatically Detecting Political Viewpoints in Norwegian Text. Lecture Notes in Computer Science (LNCS) 2024.
Skjæveland, G., Martin; Balog, Krisztian; Bernard, Nolwenn; Lajewska, Weronica; Linjordet, Trond (2024). An ecosystem for personal knowledge graphs: A survey and research roadmap. AI Open.
Vassøy, Bjørnar; Langseth, Helge (2024). Consumer-side fairness in recommender systems: a systematic survey of methods and evaluation. Artificial Intelligence Review.
2023
Bernard, Nolwenn; Balog, Krisztian (2023). A Systematic Review of Fairness, Accountability, Transparency and Ethics in Information Retrieval. ACM Computing Surveys
Doan, Tu My; Kille, Benjamin Uwe; Gulla, Jon Atle (2023). SP-BERT: A Language Model for Political Text in Scandinavian Languages. Lecture Notes in Computer Science (LNCS).Rønningstad, Egil (2023). UIO at SemEval-2023 Task 12: Multilingual fine-tuning for sentiment classification in low-resource languages. Association for Computational Linguistics (ACL). Annual Meeting Conference Proceedings
Xing, Yujie; Gulla, Jon Atle (2023). Improving Context-Awareness on Multi-Turn Dialogue Modeling with Extractive Summarization Techniques. Lecture Notes in Computer Science (LNCS).
Xing, Yujie; Liu, Peng (2023). Prompt and instruction-based tuning for response generation in conversational quesition answering. Lecture Notes in Computer Science (LNCS).
Zhang, Lemei; Liu, Peng; Gulla, Jon Atle (2023). Recommending on graphs: a comprehensive review from a data perspective. User modeling and user-adapted interaction.
2022
2021
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.
Gulla, J. A., Svendsen, R. D., Zhang, l., Stenbom, A. & Frøland, J. H. (2021). Recommending News in Traditional Media Companies . AI Magazine
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.
2025
Bach, Kerstin (2025). XAI for Trustworthy AI: Bridging Interpretability and Reliability. Invited Seminar at the School of Electrical Engineering and Computer Science. (Presentation)
Bernard, Nolwenn;Joko, H.; Hasibi, F.; Balog, Krisztian (2025). CRS Arena: Crowdsourced Benchmarking of Conversational Recommender Systems . Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining (WSDM ’25)
Breuer, T.; Kreutz, C. K.; Fuhr, N.; Balog, K.; Schaer, P.; Bernard, N.: Frommholz, I.; Gohsen, M.; Ji, K.; Jones, G. J. F.; Keller, J.; Liu, J.; Mladenov, M.; Pasi, G.; Trippas, J.; Wang, X.; Zerhoudi, S.; Zhai, C. X (2025). Report on the 1st Workshop on Simulations for Information Access (Sim4IA 2024) , ACM SIGIR Forum, Volume 58, Issue 2
Kuruge, Darshana Abeyrathna; Hafver, Andreas (2025). Increasing confidence in AI models by explaining uncertainty in predictions . ESREL & SRA-E 2025: European Safety and Reliability & Society for Risk Analysis Europe Conference
Łajewska, Weronika (2025). Efficiently Summarizing Norwegian Legal Texts (2025). , WSDM 24 : Proceedings of the 17th ACM International Conference on Web Search and Data Mining
Łajewska, Weronika; Balog, Krisztian (2025). GINGER: Grounded Information Nugget-Based Generation of Responses , 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’25)
Łajewska, Weronika; Balog, Krisztian; Spina, Damiano; Trippas, Johanne R. (2025). Can users detect biases or factual errors in generated responses in conversational information-seeking? SIGIR-AP 2024: Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region
Liu, Peng; Zhang, Lemei; Nissen Farup, Terje; Lauvrak, Even W.; Ingvaldsen, Jon Espen; Eide, Simen; Gulla, Jon Atle; Yang, Zhirong (2025). NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian , Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Michałowska, Katarzyna; Goswami, Somdatta; Karniadakis, George Em; Riemer-Sørensen, Signe (2025). Neural operator learning for long-time integration in dynamical systems with recurrent neural networks , 2024 International Joint Conference on Neural Networks (IJCNN)
Storset, L., C.; Rønningstad, E.; Mæhlum, P.; Velldal, E.; Øvrelid, L. (2025). Mixed Feelings: Cross-Domain Sentiment Classification of Patient Feedback . Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
2024
Aurora, S.R., Nguyen, N., & Bui, T. M. H. (2024). Artificial intelligence in the workplace: Insights for firms & human resource managers. The 65th Annual Meeting of the Western Academy of Management, Long Beach, CA.
Bernard, Nolwenn (2024). Leveraging User Simulation to Develop and Evaluate Conversational Information Access Agents . Proceedings of the 17th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery (ACM) 2024
Bernard, Nolwenn; Balog, Krisztian (2024). Identifying Breakdowns in Conversational Recommender Systems using User Simulation . CUI '24: Proceedings of the 6th ACM Conference on Conversational User Interfaces.
Bernard, Nolwenn; Balog, Krisztian (2024). Towards a Formal Characterization of User Simulation Objectives in Conversational Information Access . ICITR '24.
Bernard, Nolwenn; Kostric, Ivica; Balog, Krisztian (2024). IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling. Proceedings of the 17th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery (ACM) 2024
Bernard, Nolwenn; Kostric, Ivica; Lajewska, Weronika; Balog, Krisztian; Galuscakova, Petra; Setty, Vinay; Skjæveland, Martin G (2024). PKG API: A Tool for Personal Knowledge Graph Management . WWW '24: Companion Proceedings of the ACM on Web Conference 2024
Casolo, Simon; Stasik, Alexander Johannes; Zhang, Zhenyou; Riemer-Sørensen, Signe (2024). Testing Topological Data Analysis for Condition Monitoring of Wind Turbines. Proceedings of the European Conference of the Prognostics and Health Management Society 2024.
Knaus, Tanja (2024). The Great Perception Machine. Limits of Formalization in Speech Emotion Recognition, Conference of the European Association for Studies of Science and Technology, Amsterdam NL
Lajewska, Weronika; Balog, Krisztian (2024). Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-Seeking Conversations . SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Ottersen, Stuart Gallina; Bach, Kerstin (2024). Automatic Adjusting Global Similarity Measures in Learning CBR Systems . Case-Based Reasoning Research and Development.
Rønningstad, Egil; Klinger, Roman; Øvrelid, Lilja; Velldal, Erik (2024). Entity-Level Sentiment: More than the Sum of Its Parts . The 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis Proceedings of the Workshop. Association for Computational Linguistics 2024
Rønningstad, Egil; Velldal, Erik; Øvrelid, Lilja (2024). A GPT among Annotators: LLM-based Entity-Level Sentiment Annotation. Proceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII)
Sekulić, Ivan; Lajewska, Weronika; Balog, Krisztian; Crestani, Fabio (2024). Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search . Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024.
2023
Afzali, Jafar; Drzewiecki, Aleksander Mark; Balog, Krisztian; Zhang, Shuo (2023). UserSimCRS: A User Simulation Toolkit for Evaluating Conversational Recommender Systems . WSDM '23: Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
Barnes, Jeremy Claude; Touileb, Samia; Mæhlum, Petter; Lison, Pierre (2023). Identifying Token-Level Dialectal Features in Social Media . Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
Baumgartner, David; Langseth, Helge; Ramampiaro, Heri; Engø-Monsen, Kenth (2023). mTADS: Multivariate Time Series Anomaly Detection Benchmark Suites. Proceedings 2023 IEEE International Conference on Big Data (BigData) Dec 15 - Dec 18, 2023, Sorrento, Italy.
Bayrak, Betül; Bach, Kerstin (2023). When to Explain? Model Agnostic Explanation Using a Case-based Approach and Counterfactuals. I: Proceedings of the 34th Norwegian ICT conference for research and education – NIKT 2022.
Bayrak, Betül; Marin-Veites Paola; Bach, Kerstin (2023). Explaining your Neighbourhood: A CBR Approach for Explaining Black-Box Models. CEUR workshop proceedings 2023 (ICCBR XAI’22: Explainable AI Challenge at ICCBR-2022, September, 2022, Nancy, France)
Bernard, Nolwenn; Balog, Krisztian (2023). MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Charpentier, Lucas Georges Gabriel ; Wold, Sondre; Samuel; David; Rønningstad, Egil (2023). BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer. Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)-
Eidnes, Sølve; Bøhn, Eivind Eigil; Lye, Kjetil Olsen; Myhr, Håkon Noren; Riemer-Sørensen, Signe; Stasik, Alexander Johannes; Sterud, Camilla (2023). Pseudo-Hamiltonian neural networks. 22nd ECMI Conference on Industrial and Applied Mathematics
Kille, Benjamin Uwe; Lommatzsch, Andreas; Özgöbek, Özlem; Liu, Peng; Eide, Simen; Zhang, Lemei (2023). The Eleventh International Workshop on News Recommendation and Analytics (INRA’23) . RecSys '23: Proceedings of the 17th ACM Conference on Recommender Systems.
Lajewska, Weronika; Balog, Krisztian (2023). From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track. Advances in Information Retrieval 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part III
Lajewska, Weronika; Balog, Krisztian (2023). Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation . CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
Olstad, Annika Willoch ; Papadopoulou, Anthi; Lison, Pierre (2023). Generation of Replacement Options in Text Sanitization. Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa).
Vassøy, Bjørnar; Langseth, Helge; Kille, Benjamin Uwe (2023). Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders. RecSys '23: Proceedings of the 17th ACM Conference on Recommender Systems.
2022
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.Knaus, T. (2022). The automation of affective data — Infrastructure and database practices of speech recognition software systems. Infrastructures of Autonomy Conference, Berlin, Germany
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
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.
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.
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
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).
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.
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).
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.
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.
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).
2020
