Publications

2026

• DataKernelBench: Can LLMs Optimize Database Queries on GPUs?

  to appear
  G. K. Kumar, Y. Perlitz, C. Lammie, A. Giovannini, K. Hose · In: EMNLP Findings 2026, to appear
• Measuring LLM Uncertainty Through Coverage in Latent Semantic Space

  to appear
  G. Carrino, B. Ebouky, K. Hose, Mattias Rigotti · In: AACL-IJCNLP 2026, to appear
• On the impact of Compression and Aggregation on Knowledge Graph Embeddings

  to appear
  N. Sobhi, U. Joshi, J. Urbani, K. Hose · In: The Third International Workshop on Knowledge Graphs and Neurosymbolic AI (KG-NeSy 2026) co-located with ISWC 2026, to appear
• DORSET: Decoding hOw Knowledge Graph chaRacteristics Shape Embedding sTrategies (Extended Abstract)

  to appear
  M. Llugiqi, F. J. Ekaputra, M. Sabou, N. Sobhi, H. Morgan, E. Laurenza, M. Jovanovik, K. Hose, E. Sallinger · In: The Third International Workshop on Knowledge Graphs and Neurosymbolic AI (KG-NeSy 2026) co-located with ISWC 2026, to appear
• Translating RDF 1.2 Graphs to Property Graphs

  to appear
  M. Jakubowski, D. Tomaszuk, D. Fernandez Alvarez, J. E. Labra Gayo, R. Taelman, R. Dedecker, K. Hose · In: The 2nd International Workshop on Data Management for Knowledge Graphs (DMKG 2026) co-located with ISWC 2026, to appear
• Value-Preserving Architectures for Agentic AI Systems

  to appear
  A. Pesare, T. Dolci, K. Hose, E. Sallinger · In: AgenticDev 2026, to appear
• DeltaQuads: Building an RDF Store on Delta Lake Tables

  to appear
  T. Schwarzinger, Max Thoma, K. Hose, T. Preindl, G. Steindl, W. Kastner · In: ISWC 2026 Poster, to appear
• sheval: An RDF data shapes evaluation tool and test-suite for recursive shapes

  to appear
  S. Ahmetaj, I. Boneva, J. Hidders, M. Jakubowski, J. E. Labra Gayo, W. Martens, F. Murlak, C. Okulmus, O. Savkovic, M. Simkus, D. Tomaszuk · In: The 2nd International Workshop on Data Management for Knowledge Graphs (DMKG 2026) co-located with ISWC 2026, to appear
• Demonstration of RDF and SPARQL 1.2 Interoperability through Query Rewriting

  online
  J. De Smet, M. Jakubowski · In: SEMANTiCS 2026 Demo
  demo
• Machine Learning in Optimized SPARQL Query Execution Over RDF Knowledge Graphs

  to appear
  M. S. Nisar, M. Saleem, A.-C. Ngonga Ngomo, S. Tramp, N. Sande, M. Jovanovik, M. Spasić · In: Artificial Intelligence Conference 2026, to appear
• Evolving FedX: High-Performance SPARQL Federation in the Eclipse RDF4J Ecosystem

  to appear
  A. Schwarte, P. Haase, K. Hose · In: ISWC 2026, to appear
• Computing Why-Provenance in Property Graph Queries

  pdf
  K. Ganepola, M. Jakubowski, K. Hose · In: VLDB 2026, Volume 19, Issue 11, pp. 3552-3564
• Interoperability in Healthcare: A Primer and New Frontiers

  pdf
  A. Ionescu, P. Carbone, S. Meijer, C. Koutras, J. Freire, K. Hose, J. Raghothama · In: VLDB 2026, Volume 19, Issue 12, pp. 4912-4917
• From Clicks to Clips: A Multimodal Retrieval System for E-Commerce Video Recommendations

  to appear
  K. Mirylenka, E. Malykh, M. Ravanbakhsh, M. Gygli, M. Buchmann, A. Dzhoha, S. Borzenko, F. Catino, M. Gaafar, T. Kober, D. d'Andrea, E. Langhans · In: ECML-PKDD 2026, to appear
  preprint
• SEOntology: A Domain Ontology for Semantic Modeling of Search Engine Optimization Workflows

  to appear
  E. Gjorgjevska, D. Riccitelli, M. Jovanovik and A. Volpini · In: SEMANTiCS 2026, to appear
• A Graph-Native Approach to Normalization

  pdf
  J. Schrott, M. Jakubowski, K. Hose · In: EDBT 2027, pp. 61–73
• MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations

  to appear
  E. Lavrinovics, R. Biswas, K. Hose, J. Bjerva · In: ICML 2026, to appear
• Native Provenance Computation for Federated and Non-Federated SPARQL Queries

  pdf
  Z. Asma, D. Hernandez, L. Galárraga, G. Flouris, I. Fundulaki, K. Hose · In: TGDK, Volume 4, Issue 1, 2026
• How human-centric are our graph data abstractions?

  pdf
  A. Bonifati, A. Dimou, S. Dumbrava, G. Fletcher, K. Hose, G. Konstantinidis, J. Labra-Gayo, W. Martens, N. Pardal, L. Peterfreund, K. Thornton, M. Vidal, H. Voigt · In: TGDK, volume 4, issue 2, pp. 2:1-2:31
• An End-to-End Re-Evaluation of Table Entity-Linking Systems

  pdf
  M. P. Christensen, M. Lissandrini, K. Hose · In: ICDE 2026, pp. 1703-1716
• Towards LLM-KG Symbiosis for Reducing Factual Hallucinations

  pdf
  T. Dolci, M. Jovanovik, K. Hose · In: QuaLLM-KG 2026 icw. EDBT 2026
• MetriKG: Profiling Static and Evolving Knowledge Graphs

  pdf
  H. Günes, M. Jovanovik, K. Hose · In: The Web Conference 2026
• Jazero: A Semantic Table Search System

  pdf
  M. P. Christensen, M. Lissandrini, K. Hose · In: ICDE 2026, pp. 4151-4154
• Exploring Exploratory Querying

  pdf
  M. Arenas, E. Franconi, J. Hammerer, O. Hartig, K. Hose, L. Koesten, G. Konstantinidis, L. Libkin, W. Martens, Y. Sasaki, S. Scherzinger, K. Thornton, H. Wu · In: VLDB 2026, PVLDB 2025, vol. 18, no 13, pp. 5731-5739
• Expressive Querying and Scalable Management of Large RDF Archives

  pdf
  O. Pelgrin, R. Taelman, L. Galárraga, K. Hose · In: Semantic Web 17(3), 2026
• Source Attribution in Retrieval-Augmented Generation

  pdf
  I. Nematov, T. Kalai, E. Kuzmenko, G. Fugagnoli, D. Sacharidis, K. Hose, T. Sagi · In: AIMLAI Workshop iwc. ECML PKDD 2025, pp. 317-332
• Amalgam: Hybrid LLM-PGM Synthesis Algorithm for Accuracy and Realism

  to appear
  A. Kapenekakis, B. Thomsen, K. Hose, M. Albano · In: SynDAiTE icw. ECML-PKDD 2026, to appear
• Exploring the Landscape of Data Fusion

  pdf
  Y. Akter, A. Abelló, P. Jovanovic, T. Sagi, K. Hose · In: Data Engineering for Data Science, Springer, 2026
• Example-Based Explainability in Machine Learning

  pdf
  I. Nematov, D. Sacharidis, K. Hose, T. Sagi · In: Data Engineering for Data Science, Springer, 2026
• Scalable and Privacy-Aware Relational Data Synthesis

  pdf
  A. Kapenekakis, D. Dell’Aglio, M. Bøgsted, M. Garofalakis, K. Hose · In: Data Engineering for Data Science, Springer, 2026
• MEHDIE: the Middle East Heritage Data Integration Endeavor

  pdf
  T. Sagi, M. Zaga, S. Rusinek, E. Lev, M. Lavee, K. Hose · In: Digital Scholarship in the Humanities, 2026
• DataKernelBench: Can LLMs Optimize Database Queries on GPUs?

  pdf
  G. K. Kumar, Y. Perlitz, C. Lammie, A. Giovannini1, K. Hose · In: CoRR abs/2608.25061 (2026)
• Amalgam: Hybrid LLM-PGM Synthesis Algorithm for Accuracy and Realism

  pdf
  A. Kapenekakis, B. Thomsen, K. Hose, M. Albano · In: CoRR abs/2603.27254 (2026)
• Graph-Native Normalization

  pdf
  J. Schrott, M. Jakubowski, K. Hose · In: CoRR abs/2603.02995 (2026)
• A Community Survey on SHACL and ShEx: Briding Gaps in RDF Validation

  pdf
  M. Jakubowski, D. Tomaszuk, K. Hose · In: CoRR abs/2606.03502 (2026)
• Reducing LLM Hallucinations with Knowledge Graphs: A Survey

  pdf
  T. Dolci, M. Jovanovik, K. Hose · In: HAL Science hal-05676631v1 (2026)
• Value-Preserving Architectures for Agentic AI Systems

  pdf
  T. Dolci, M. Jovanovik, K. Hose · In: CoRR abs/2609.03920 (2026)

2025

• PlanRGCN: Predicting SPARQL Query Performance

  pdf
  A. Moharanaj, M. Lissandrini, K. Hose · In: VLDB 2025, volume 18, no. 6, pp. 1621-1634
• The Limits of Graph Samplers for Training Inductive Recommender Systems

  pdf
  T. E. Jendal, M. Lissandrini, P. Dolog, K. Hose · In: VLDB 2025, volume 18, no. 8, pp. 2496-2504
  preprint
• Smart SPARQL Advisor: Guiding Users in Query Formulation with Performance Prediction

  pdf
  A. Moharanaj, M. Lissandrini, K. Hose · In: VLDB 2025, volume 18, no. 12, pp. 5295-5298
• Transforming RDF Graphs to Property Graphs using Standardized Schemas

  pdf
  K. Rabbani, M. Lissandrini, A. Bonifati, K. Hose · In: SIGMOD 2025, Volume 2, Issue 6, pp. 1-25, 2024
• The Yelp Collaborative Knowledge Graph

  pdf
  T. E. Jendal, M. Corfixen, M. Olesen, P. Dolog, K. Hose, D. Dell'Aglio, M. Lissandrini · In: CIKM 2025, pp. 6414-6419
• Common Foundations of SHACL, ShEx, and PG-Schema

  pdf
  S. Ahmetaj, I. Boneva, J. Hidders, K. Hose, M. Jakubowski, J.E.L. Gayo, W. Martens, F. Mogavero, F. Murlak, C. Okulmus, A. Polleres, O. Savkovic, M. Simkus, D. Tomaszuk · In: The Web Conference 2025, pp. 8-21
  preprint
• RDFGraphGen: An RDF Graph Generator based on SHACL Shapes

  pdf
  M. Jovanovik, M. Vecovska, M. Jakubowski, K. Hose · In: Knowledge Graphs, pp. 111-125, 2025 (IJKGC 2025)
• Handling New Users and Items: A Comparative Study of Inductive Recommenders

  pdf
  T. E. Jendal, M. Lissandrini, P. Dolog, K. Hose · In: Data Mining and Knowledge Discovery 39, 58 (2025)
• Bridging Gaps in RDF Validation - Insights and Innovation Opportunities in RDF Validation Practicse

  pdf
  M. Jakubowski, D. Tomaszuk, K. Hose · In: SEMANTiCS 2025
  website
• Towards Reliable Conversational Data Analytics

  pdf
  S. Amer-Yahia, J. Bogojeska, R. Facchinetti, V. Franceschi, A. Gionis, K. Hose, G. Koutrika, R. Kouyos, M. Lissandrini, S. Maniu, K. Mirylenka, D. Mottin, T. Palpanas, M. Rigotti, Y. Velegrakis · In: EDBT 2025, pp. 962-969
• Fantastic Tables and Where to Find Them: Table Search in Semantic Data Lakes

  pdf
  M. P. Christensen, A. Leventidis, M. Lissandrini, L. Di Rocco, R. J. Miller, K. Hose · In: EDBT 2025, pp. 397-410
• Pasteur: Scaling Privacy-aware Data Synthesis

  pdf
  A. Kapenekakis, D. Dell'Aglio, M. Bøgsted, M. Garofalakis, K. Hose · In: ADBIS 2025, pp. 164–180.
  *** Best Paper Award ***
• Evaluating Quality of Disparate Data Sources: A Discord-Driven Approach

  pdf
  Y. Akter, A. Abelló, P. Jovanovic, T. Sagi, K. Hose · In: ADBIS 2025, pp. 147–163.
• Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data

  pdf
  R. Stojanov, M. Jovanovik, S. Gramatikov, I. Mishkovski, E. Zdravevski, D. Sasanski, Z. Karapancheva, G. Spasovski, I. Vasileska, T. Eftimov, W. Zhuojun, J. Jankowski, D. Trajanov · In: Proteomics, 2025, e202400135
• Towards Generating Synthetic EHR Knowledge Graphs - a Probabilistic Approach

  pdf
  M. Jovanovik, E. Milenkova, M. Jakubowski, K. Hose · In: GOBLIN Workshop 2025
• FHIR Lens: A Graph-Based Approach to Semantic EHR Exploration

  pdf
  D. Tomaszuk, A. Smajevic, T. Sagi, K. Hose · In: CBMS 2025, pp. 1-6
• Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective

  pdf
  E. Lavrinovics, R. Biswas, J. Bjerva, K. Hose · In: Journal of Web Semantics, Volume 85, 2025
• Utilizing Phonetic Similarity for Cross-language Toponym Matching - a Benchmark and Prototype

  pdf
  T. Sagi, M. Zaga, S. Rusinek, M. R. Fekete, J. Bjerva, K. Hose · In: Language Resources and Evaluation, 2025
• Artificial intelligence in patients with atrial fibrillation to manage clinical complexity and comorbidities: the ARISTOTELES project

  pdf
  G. Boriani, D. Antonio Mei, G. Y.H. Lip, on behalf of the ARISTOTELES Consortium · In: European Heart Journal (2025) 46, 775-777
• TARGET: A Major European Project Aiming to Advance the Personalised Management of Atrial Fibrillation-Related Stroke via the Development of Health Virtual Twins Technology and Artificial Intelligence

  pdf
  S. Ortega-Martorell, I. Olier, M. Ohlsson, G. Y. H. Lip, on behalf of the TARGET Consortium · In: Thrombosis and Haemostasis, 2025, 125:7-11
• RDFGraphGen: An RDF Graph Generator based on SHACL Shapes

  pdf
  M. Jovanovik, M. Vecovska, M. Jakubowski, andK. Hose · In: CoRR abs/2407.17941 (2025)
• MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations

  pdf
  E. Lavrinovics, R. Biswas, J. Bjerva, K. Hose · In: CoRR abs/2505.14101 (2025)
• Towards Computer-Using Personal Agents

  pdf
  P. A. Bonatti, J. Domingue, A. L. Gentile, A. Harth, O. Hartig, A. Hogan, K. Hose, E. Jiménez-Ruiz, D. L. McGuinness, C. Sun, R. Verborgh, J. Wright · In: CoRR abs/2503.15515 (2025)
• Source Attribution in Retrieval-Augmented Generation

  pdf
  I. Nematov, T. Kalai, E. Kuzmenko, G. Fugagnoli, D. Sacharidis, K. Hose, T. Sagi · In: CoRR abs/2507.04480 (2025)

2024

• A Large Scale Test Corpus for Semantic Table Search

  pdf
  A. Leventidis, M. P. Christensen, M. Lissandrini, L. Di Rocco, K. Hose, R. J. Miller · SIGIR 2024, pp. 1142--1151
• KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science

  pdf
  M. Helali, N. Monjazeb, S. Vashisth, P. Carrier, A. Helal, A. Cavalcante, K. Ammar, K. Hose, E. Mansour · ICDE 2024, pp. 179-192
• NPCS: Native Provenance Computation for SPARQL

  pdf
  Z. Asma, D. Hernandez, L. Galárraga, G. Flouris, I. Fundulaki, K. Hose · TheWebConf 2024, pp. 2085-2093
  video
• Synthesizing Accurate Relational Data under Differential Privacy

  pdf
  A. Kapenekakis, D. Dell‘Aglio, C. Vestegham, L. Ø. Poulsen, M. Bøgsted, M. Garofalakis, K. Hose · In: IEEE Big Data 2024, pp. 433-439, 2024
• ORAQL: An Overlap and Reliability Aware Query Processing Layer for Federations of Triple Fragment Interfaces

  pdf
  T. Zeimetz, K. Hose, R. Schenkel · In: SEMANTiCS 2024, pp. 328-344
• Multimodal representation learning for medical analytics -- a systematic literature review

  pdf
  E. R. Hansen, T. Sagi, K. Hose · In: Health Informatics Journal, Volume 30, Issue 4, 2024
• A benchmark and multi-stage pipeline for classifying underwater videos at scale

  pdf
  S. K. Larsen, L. E. Rasmussen, T. Sagi, K. Hose, Y. Lehahn · In: International Journal on Image and Data Fusion, 2024
• AIDE: Antithetical, Intent-based, and Diverse Example-Based Explanations

  pdf
  I. Nematov, D. Sacharidis, K. Hose, T. Sagi · In: AIES 2024, pp. 1051-1062
  preprint
• The Susceptibility of Example-Based Explainability Methods to Class Outliers

  pdf
  I. Nematov, D. Sacharidis, T. Sagi, K. Hose · In: AIMLAI icw. ECML PKDD 2024
• Integrating Multi-Modal Spatial Data using Knowledge Graphs - a Case Study of Microflora Danica

  pdf
  M. Corfixen, T. Heede, T. Sagi, M. Albertsen, T. D. Nielsen, K. Hose · SeWeBMeDa 2024 icw. ESWC 2024, CEUR Vol. 3726
• Mining Validating Shape for Large Knowledge Graphs via Dynamic Reservoir Sampling

  pdf
  M. Lissandrini, K. Rabbani, K. Hose · SEBD 2024, pp. 25--34
• Semantic Web: Past, Present, and Future

  pdf
  A. Scherp, G. Groener, P. Skoda, K. Hose, M. Vidal · TGDK 2024, Volume 2, Issue 1
• Data-driven PC-chair-in-the-loop Formation of Program Committees: An EDBT 2023 Experience

  pdf
  S. Bhowmick, K. Hose · SIGMOD Record, 53(2), June 2024
• Hypergraphs with Attention on Reviews for Explainable Recommendation

  pdf
  T. E. Jendal, TH Le, H. Lauw, M. Lissandrini, P. Dolog, K. Hose · In: ECIR 2024, pp. 230–246, 2024
• moduli: A Disaggregated Data Management Architecture for Data-Intensive Workflows

  pdf
  P. Ceravolo, T. Cartarci, M. Console, P. Cudré-Mauroux, S. Groppe, K. Hose, J. Pokorny, O. Romero, R. Wrembel · ACM SIGWEB Newsletter, Vol. 2024 Winter
• A European network to develop virtual twin technology for personalized stroke mangement in atrial fibrillation: the TARGET consortium

  pdf
  S. Ortega-Martorell, I. Olier, G. Y. H. Lip, on behalf of the TARGET Consortium · In: European Heart Journal, Volume 46, Iusse 3, 2025, pp. 229-232
• Advancing personalised care in atrial fibrillation and stroke: The potential impact of AI from prevention to rehabilitation

  pdf
  S. Ortega-Martorell, I. Olier, M. Ohlsson, G. Y. H. Lip, on behalf of the TARGET Consortium · In: Trends in Cardiovascular Medicine, 2024
• Recommending Tasks based on Search Queries and Missions

  pdf
  D. Garigliotti, K. Balog, K. Hose, J. Bjerva · In: Journal of Natural Language Engineering, pp. 577-601, 2024

2023

• Extraction of Validating Shapes from very large Knowledge Graphs

  pdf
  K. Rabbani, M. Lissandrini, K. Hose · In: PVLDB 2023, vol. 16, no. 5
  *** IFIP Manfred Paul Award ***
  details
• How Does Knowledge Evolve in Open Knowledge Graphs?

  pdf
  A. Polleres, R. Pernisch, A. Bonifati, D. Dell‘Aglio, D. Dobriy, D. Dumbrava, L. Etcheverry, N. Ferranti, K. Hose, E. Jiminez-Ruiz, M. Lissandrini, A. Scherp, R. Tommasini, J. Wachs · TGDK, Vol. 1, Issue 1, Article No. 11, pp. 11:1–11:59
• Tunable Query Optimizer for Web APIs and User Preferences

  pdf
  T. Zeimetz, K. Hose, R. Schenkel · In: K-CAP 2023, pp. 92-100
• The Need for Better RDF Archiving Benchmarks

  pdf
  O. Pelgrin, R. Taelman, L. Galárraga, K. Hose · In: MepDAW 2023 icw. ISWC 2023, pp. 50-54
• StarBench: Benchmarking RDF-star Triplestores

  pdf
  G. Abuoda, C. Aebeloe, D. Dell‘Aglio, A. Keen, K. Hose · In: QuWeDa 2023 icw. ISWC 2023, pp. 34-49
• GlnRec: A Gated Architecture for Inductive Recommendation using Knowledge Graphs

  pdf
  T. E. Jendal, M. Lissandrini, P. Dolog, K. Hose · In: KARS 2023 icw. RecSys 2023, pp. 80-89
• Graph Neural Networks for Metagenomic Binning

  pdf
  A. Lamurias, A. Tibo, K. Hose, M. Albertsen, T. D. Nielsen · In: CompBio Workshop icw. ICML 2023
• Optimizing SPARQL Queries over Decentralized Knowledge Graphs

  pdf
  C. Aebeloe, G. Montoya, K. Hose · In: Semantic Web Journal, vol. 14, no. 6, pp. 1121-1165, 2023
  details
• Metagenomic Binning using Connectivity-constrained Variational Autoencoders

  pdf
  A. Lamurias, A. Tibo, K. Hose, M. Albertsen, T. D. Nielsen · In: ICML 2023, pp. 18471-18481
• SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes

  pdf
  K. Rabbani, M. Lissandrini, K. Hose · In: SIGMOD 2023, pp. 151-154
  details
• GLENDA: Querying RDF Archives with SPARQL

  pdf
  O. Pelgrin, R. Taelman, L. Galárraga, K. Hose · In: ESWC 2023, pp. 75-80
  details
  *** Best Demo Award ***
• Patient Event Sequences for Predicting Hospitalization Length of Stay

  pdf
  E. R. Hansen, T. D. Nielsen, T. Mulvad, M. N. Strausholm, T. Sagi, K. Hose · In: AIME 2023, pp. 51-56
• Environmental impact assessment reports in Wikidata and a Wikibase

  pdf
  F. Årup Nielsen, I. Lyhne, D. Garigliotti, A. Butzbach, E. R. Boess, K. Hose, L. Kørnøv · In: SemTech4STLD workshop at ESWC 2023
• Visualizing How-Provenance Explanations for SPARQL Queries

  pdf
  L. Galárraga, D. Hernandez, A. Katim, K. Hose · In: TheWebConf 2023, pp. 212-216
  demo, code
• OntoEval: an Automated Ontology Evaluation System

  pdf
  A. Zaitoun, T. Sagi, K. Hose · In: TheWebConf 2023, pp. 82-85
• Automated Ontology Evaluation: Evaluating Coverage and Correctness using a Domain Corpus

  pdf
  A. Zaitoun, T. Sagi, K. Hose · In: NLP4KGC workshop at TheWebConf 2023, pp. 1127-1137
  *** Best Paper Award ***
• Scientific Data Extraction from Oceanographic Papers

  pdf
  B. Eyðfinsson Veyhe, T. Sagi, K. Hose · In: Sci-K workshop at TheWebConf 2023, pp.800-804
• Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true

  pdf
  D. Garigliotti, J. Bjerva, F. Årup Nielsen, A. Butzbach, I. Lyhne, L. Kørnøv, K. Hose · In: KGS workshop icw. TheWebConf 2023, pp. 724-730
• Diagnosis Prediction over Patient Data using Hierarchical Medical Taxonomies

  pdf
  E. R. Hansen, T. Sagi, K. Hose · In: HEDAI workshop at EDBT 2023
• Scaling Large RDF Archives To Very Long Histories

  pdf
  O. Pelgrin, R. Taelman, L. Galárraga, K. Hose · In: ICSC 2023, pp. 41-48
• Example-Driven Exploratory Analytics over Knowledge Graphs

  pdf
  M. Lissandrini, K. Hose, T. B. Pedersen · In: EDBT 2023, pp. 105-117
• RT-qPCR system using a degenerate probe for specific identification and differentiation of SARS-CoV-2 Omicron (B.1.1.529) variants of concern

  pdf
  Randi Jessen, Line Nielsen, Nicolai Balle Larsen, Arieh Sierra Cohen, Vithiagaran Gunalan, Elli-nor Marving, Alonzo Alfaro-Nunez, Charlotta Polacek, The Danish COVID-19 Genome Consortium (DCGC), Anders Fomsgaard, Katja Spiess · In: PLOS ONE, 2023
• Digitalisation of Environmental Assessment: The Danish Ecosystem Approach
  I. Lyhne, P.A. Nielsen, K. Hose, L. Kørnøv · In: UVP, 2023
• Hospitalization Length of Stay Prediction using Patient Event Sequences

  pdf
  E. R. Hansen, T. D. Nielsen, T. Mulvad, M. N. Strausholm, T. Sagi, K. Hose · In: CoRR abs/2023.11042, 2023
• Linked Data Science powered by Knowledge Graphs

  pdf
  M. Helali, S. Vashisth, P. Carrier, K. Hose, E. Mansour · In: CoRR abs/2303.02204, 2023
  details