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  • 2024

    A Call for Consistency in Reporting Typological Diversity

    Poelman, W., Ploeger, E., de Lhoneux, M. & Bjerva, J., 17 Mar 2024, Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP. Association for Computational Linguistics

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  • Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings

    Senger, E., Zhang, M., van der Goot, R. & Plank, B., 2024, NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop. Hruschka, E., Lake, T., Otani, N. & Mitchell, T. (eds.). Association for Computational Linguistics, ACL Anthology, p. 1-15 15 p. (NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop).

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  • Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?

    Rodriguez, J. M., Tavassoli, N., Levy, E., Lederman, G., Sivov, D., Lissandrini, M. & Mottin, D., 2024, Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings: ECIR 2024. Goharian, N., Tonellotto, N., He, Y., Lipani, A., McDonald, G., Macdonald, C. & Ounis, I. (eds.). p. 161-176 16 p.

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  • Entity Linking in the Job Market Domain

    Zhang, M., van der Goot, R. & Plank, B., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics, ACL Anthology, p. 410-419 10 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2024).

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  • Hypergraphs with Attention on Reviews for Explainable Recommendation

    Jendal, T. E., Le, T-H., Lauw, H. W., Lissandrini, M., Dolog, P. & Hose, K., 20 Mar 2024, Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings: Advances in Information Retrieval. Goharian, N., Tonellotto, N., He, Y., Lipani, A., McDonald, G., Macdonald, C. & Ounis, I. (eds.). Springer, p. 230–246 17 p. (Lecture Notes in Computer Science, Vol. 14608).

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  • Integrating Multi-Modal Spatial Data using Knowledge Graphs – a Case Study of Microflora Danica

    Corfixen, M., Heede, T., Sagi, T., Albertsen, M., Nielsen, T. D. & Hose, K., May 2024, (Accepted/In press) Integrating Multi-Modal Spatial Data using Knowledge Graphs – a Case Study of Microflora Danica. 10 p.

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  • JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching

    Magron, A., Dai, A., Zhang, M., Montariol, S. & Bosselut, A., 2024, NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop. Hruschka, E., Lake, T., Otani, N. & Mitchell, T. (eds.). Association for Computational Linguistics, ACL Anthology, p. 43-58 16 p. (NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop).

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  • Multilingual Gradient Word-Order Typology from Universal Dependencies

    Baylor, E., Ploeger, E. & Bjerva, J., 17 Mar 2024, Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: EACL. St. Julian’s, Malta: Association for Computational Linguistics, Vol. 2.

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  • NNOSE: Nearest Neighbor Occupational Skill Extraction

    Zhang, M., van der Goot, R., Kan, M. Y. & Plank, B., 2024, EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Graham, Y., Purver, M. & Purver, M. (eds.). Association for Computational Linguistics, ACL Anthology, p. 589-608 20 p. (EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Vol. 1).

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  • Rethinking Skill Extraction in the Job Market Domain using Large Language Models

    Nguyen, K. C., Zhang, M., Montariol, S. & Bosselut, A., 2024, NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop. Hruschka, E., Lake, T., Otani, N. & Mitchell, T. (eds.). Association for Computational Linguistics, ACL Anthology, p. 27-42 16 p. (NLP4HR 2024 - 1st Workshop on Natural Language Processing for Human Resources, Proceedings of the Workshop).

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  • Sociolinguistically Informed Interpretability: A Case Study on Hinglish Emotion Classification

    Tatariya, K., Lent, H. C., Bjerva, J. & de Lhoneux, M., 17 Mar 2024, Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP. Association for Computational Linguistics

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  • Text Embedding Inversion Security for Multilingual Language Models

    Chen, Y., Lent, H. C. & Bjerva, J., 16 May 2024, (Accepted/In press) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL): Volume 1: Long Papers. Association for Computational Linguistics, 18 p.

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  • 2023

    Automated Ontology Evaluation: Evaluating Coverage and Correctness using a Domain Corpus

    Zaitoun, A., Sagi, T. & Hose, K., 30 Apr 2023, ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, p. 1127-1137 11 p.

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  • Colex2Lang: Language Embeddings from Semantic Typology

    Chen, Y., Biswas, R. & Bjerva, J., 22 May 2023, Proceedings of the 24rd Nordic Conference on Computational Linguistics (NoDaLiDa). Association for Computational Linguistics, p. 673-684

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  • Colexifications for Bootstrapping Cross-lingual Datasets: The Case of Phonology, Concreteness, and Affectiveness

    Chen, Y. & Bjerva, J., Jul 2023, ACL 2023 - 20th SIGMORPHON Workshop on Computational Morphology, Phonology, and Phonetics, CMPP 2023. Nicolai, G., Chodroff, E., Coltekin, C. & Mailhot, F. (eds.). Association for Computational Linguistics, p. 98-109 12 p.

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  • Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true

    Garigliotti, D., Bjerva, J., Nielsen, F. Å., Butzbach, A., Lyhne, I., Kørnøv, L. & Hose, K., 30 Apr 2023, ACM Web Conference 2023 - Proceedings of the Comopanion of the : 2023 World Wide Web Conference . Association for Computing Machinery, p. 724-730 7 p.

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    2 Citations (Scopus)
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  • Example-Driven Exploratory Analytics over Knowledge Graphs

    Lissandrini, M., Hose, K. & Pedersen, T. B., 2023, Proceedings of the 26th International Conference on Extending Database Technology, EDBT 2023. OpenProceedings.org, p. 105-117 13 p. (Advances in Database Technology, Vol. 26).

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  • GInRec: A Gated Architecture for Inductive Recommendation using Knowledge Graphs

    Jendal, T. E., Lissandrini, M., Dolog, P. & Hose, K., 23 Nov 2023, KaRS 2023 Knowledge-aware and Conversational Recommender Systems 2023: Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023). Anelli, V. W., Basile, P., De Melo, G., Donini, F. M., Ferrara, A., Musto, C., Narducci, F., Ragone, A. & Zanker, M. (eds.). CEUR Workshop Proceedings, p. 80-89 10 p. (CEUR Workshop Proceedings, Vol. 3560).

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  • GLENDA: Querying RDF Archives with Full SPARQL

    Pelgrin, O., Taelman, R., Galárraga, L. & Hose, K., 2023, The Semantic Web: ESWC 2023 Satellite Events, Proceedings. Pesquita, C., Skaf-Molli, H., Efthymiou, V., Kirrane, S., Ngonga, A., Collarana, D., Cerqueira, R., Alam, M., Trojahn, C. & Hertling, S. (eds.). Springer Science+Business Media, p. 75-80 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13998 LNCS).

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  • Gradual Language Model Adaptation Using Fine-Grained Typology

    Fekete, M. R. & Bjerva, J., May 2023, Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP. Association for Computational Linguistics, p. 153-158 6 p.

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  • Graph Neural Networks for Metagenomic Binning

    Lamurias, A., Tibo, A., Hose, K., Albertsen, M. & Nielsen, T. D., 2023, The 2023 ICML Workshop on Computational Biology. 7 p. 81

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  • Metagenomic Binning using Connectivity-constrained Variational Autoencoders

    Lamurias, A., Tibo, A., Hose, K., Nielsen, T. D. & Albertsen, M., 2023, Proceedings of the 40th International Conference on Machine Learning. Krause, A. & Brunskill, E. (eds.). p. 18471–18481 762. (The Proceedings of Machine Learning Research, Vol. 202).

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  • OntoEval: an Automated Ontology Evaluation System

    Zaitoun, A., Sagi, T. & Hose, K., 30 Apr 2023, ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, p. 82–85 4 p.

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    1 Citation (Scopus)
  • Patient Event Sequences for Predicting Hospitalization Length of Stay

    Hansen, E. R., Nielsen, T. D., Larsen, T. M., Strausholm, M. N., Sagi, T. & Hose, K., 7 Jun 2023, Artificial Intelligence in Medicine: 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12–15, 2023, Proceedings. Juarez, J. M., Marcos, M., Stiglic, G. & Tucker, A. (eds.). Springer, p. 51-56 6 p. (Lecture Notes in Computer Science (LNCS), Vol. LNCS 13897).

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  • Scaling Large RDF Archives to Very Long Histories

    Pelgrin, O., Taelman, R., Galarraga, L. & Hose, K., 2023, Proceedings - 17th IEEE International Conference on Semantic Computing, ICSC 2023. IEEE, p. 41-48 8 p. (IEEE International Conference on Semantic Computing (ICSC)).

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  • Scientific Data Extraction from Oceanographic Papers

    Veyhe, B. E., Sagi, T. & Hose, K., 30 Apr 2023, Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion). Association for Computing Machinery, p. 800–804 5 p.

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  • SHACTOR: Improving the Quality of Large-Scale Knowledge Graphs with Validating Shapes

    Rabbani, K., Lissandrini, M. & Hose, K., 4 Jun 2023, Companion of the 2023 International Conference on Management of Data (SIGMOD '23). Association for Computing Machinery, p. 151-154 4 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

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    1 Citation (Scopus)
  • StarBench: Benchmarking RDF-star Triplestores

    Abuoda, G., Aebeloe, C., Dell'Aglio, D., Keen, A. & Hose, K., 2023, Joint Proceedings of the QuWeDa and MEPDaW 2023: 7th Workshop on Storing, Querying and Benchmarking Knowledge Graphs and 9th Workshop on Managing the Evolution and Preservation of the Data Web co-located with 22nd International Semantic Web Conference (ISWC 2023). CEUR Workshop Proceedings, 16 p. (CEUR Workshop Proceedings, Vol. 3565).

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  • The Past, Present, and Future of Typological Databases in NLP

    Baylor, E., Ploeger, E. & Bjerva, J., Dec 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics, p. 1163-1169 7 p.

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  • Visualizing How-Provenance Explanations for SPARQL Queries

    Galárraga, L., Hernández, D., Katim, A. & Hose, K., 30 Apr 2023, ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023. Association for Computing Machinery, p. 212-216 5 p.

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  • 2022

    Experimental Standards for Deep Learning in Natural Language Processing Research

    Ulmer, D., Bassignana, E., Müller-Eberstein, M., Varab, D., Zhang, M., van der Goot, R., Hardmeier, C. & Plank, B., 2022, Findings of 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, p. 2673-2692 20 p.

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    1 Citation (Scopus)
  • Knowledge Graph Exploration Systems: are we lost?

    Lissandrini, M., Mottin, D., Hose, K. & Pedersen, T. B., Jan 2022, Proceedings of the 12th Conference on Innovative Data Systems Research: CIDR 2022. 2022 ed.

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  • Quantifying Synthesis and Fusion and their Impact on Machine Translation

    Oncevay, A., Ataman, D., van Berkel, N., Haddow, B., Birch, A. & Bjerva, J., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics, p. 1308-1321 14 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

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    2 Citations (Scopus)
  • SHACL and ShEx in the Wild: A Community Survey on Validating Shapes Generation and Adoption

    Rabbani, K., Lissandrini, M. & Hose, K., 25 Apr 2022, WWW 2022 - Companion Proceedings of the Web Conference 2022. Association for Computing Machinery, p. 260-263 4 p. (WWW 2022 - Companion Proceedings of the Web Conference 2022).

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    9 Citations (Scopus)
  • SKILLSPAN: Hard and Soft Skill Extraction from English Job Postings

    Zhang, M., Jensen, K. N., Sonniks, S. D. & Plank, B., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics, ACL Anthology, p. 4962-4984 23 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

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    14 Citations (Scopus)
  • Transforming RDF-star to Property Graphs: A Preliminary Analysis of Transformation Approaches

    Abuoda, G., Dell'Aglio, D., Keen, A. & Hose, K., Nov 2022, QuWeDa 2022: 6th Workshop on Storing, Querying and Benchmarking Knowledge Graphs. CEUR Workshop Proceedings, Vol. 3279. p. 17-32 16 p. (CEUR Workshop Proceedings).

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  • 2021

    ColChain: Collaborative Linked Data Networks

    Aebeloe, C., Montoya, G. & Hose, K., 19 Apr 2021, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021. Association for Computing Machinery, p. 1385-1396 12 p.

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    16 Citations (Scopus)
  • Does Typological Blinding Impede Cross-Lingual Sharing?

    Bjerva, J. & Augenstein, I., 21 Apr 2021, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics. Merlo, P., Tiedemann, J. & Tsarfaty, R. (eds.). Association for Computational Linguistics, p. 480-486

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    12 Citations (Scopus)
  • Entity Prediction in Knowledge Graphs with Joint Embeddings

    Baumgartner, M., Dell'Aglio, D. & Bernstein, A., Jun 2021, Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15). Association for Computational Linguistics, p. 22–31

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  • Estimating the extent of the effects of data quality through observations

    Foroni, D., Lissandrini, M. & Velegrakis, Y., Apr 2021, Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021. IEEE, p. 1913-1918 6 p. 9458690. (Proceedings - International Conference on Data Engineering, Vol. 2021-April).

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    2 Citations (Scopus)
  • HiPaR: Hierarchical Pattern-Aided Regression

    Galárraga, L., Pelgrin, O. & Termier, A., 2021, Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Proceedings. Karlapalem, K., Cheng, H., Ramakrishnan, N., Agrawal, R. K., Reddy, P. K., Srivastava, J. & Chakraborty, T. (eds.). Springer, p. 320-332 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12712 LNAI).

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    1 Citation (Scopus)
  • Inducing Language-Agnostic Multilingual Representations

    Zhao, W., Eger, S., Bjerva, J. & Augenstein, I., 2021, *SEM 2021 - 10th Conference on Lexical and Computational Semantics, Proceedings of the Conference. Ku, L-W., Nastase, V. & Vulic, I. (eds.). Association for Computational Linguistics, ACL Anthology, p. 229-240 12 p. (*SEM 2021 - 10th Conference on Lexical and Computational Semantics, Proceedings of the Conference).

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    25 Citations (Scopus)
  • LSQB: A large-scale subgraph query benchmark

    Mhedhbi, A., Lissandrini, M., Kuiper, L., Waudby, J. & Szárnyas, G., 20 Jun 2021, GRADES-NDA '21: Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2021. Kalavri, V. & Yakovets, N. (eds.). New York: Association for Computing Machinery, p. 8:1-8:11 11 p. 8. (Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2021).

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  • Optimizing SPARQL queries using shape statistics

    Rabbani, K., Lissandrini, M. & Hose, K., 2021, Advances in Database Technology : 24th International Conference on Extending Database Technology, EDBT 2021. Velegrakis, Y., Velegrakis, Y., Zeinalipour, D., Chrysanthis, P. K., Chrysanthis, P. K. & Guerra, F. (eds.). OpenProceedings.org, p. 505-510 6 p. (Advances in Database Technology).

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  • Single Point Incremental Fourier Transform on 2D Data Streams

    Saad, M., Bernstein, A., Böhlen, M. H. & Dell'Aglio, D., 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE). IEEE, p. 852-863 12 p. 9458728. (Proceedings of the International Conference on Data Engineering).

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  • SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs

    Troullinou, G., Kondylakis, H., Lissandrini, M. & Mottin, D., 9 Jun 2021, SIGMOD 2021 - Proceedings of the 2021 International Conference on Management of Data. New York: Association for Computing Machinery, p. 2789-2793 5 p. (Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems).

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    9 Citations (Scopus)
  • Teaching Analytics Medical-Data Common Sense

    Sagi, T., Shmueli, N., Friedman, B. & Bergman, R., 4 Mar 2021, Heterogeneous Data Management, Polystores, and Analytics for Healthcare: VLDB Workshops, Poly 2020 and DMAH 2020, Virtual Event, August 31 and September 4, 2020, Revised Selected Papers. Springer, p. 171-187 (Lecture Notes in Computer Science (LNCS), Vol. 12633).

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  • The F4U system for understanding the effects of data quality

    Foroni, D., Lissandrini, M. & Velegrakis, Y., Apr 2021, Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021. IEEE Computer Society Press, p. 2717-2720 4 p. 9458779. (Proceedings of the International Conference on Data Engineering).

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    2 Citations (Scopus)
  • Toward Measuring the Resemblance of Embedding Models for Evolving Ontologies

    Pernisch, R., Dell'Aglio, D. & Bernstein, A., 2021, K-CAP '21: Proceedings of the 11th International Conference on Knowledge Capture (K-CAP 2021). Association for Computing Machinery, p. 177-184 8 p.

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    3 Citations (Scopus)
  • Understanding ε for Differential Privacy in Differencing Attack Scenarios

    Ashena, N., Dell'Aglio, D. & Bernstein, A., 2021, Security and Privacy in Communication Networks: 17th EAI International Conference, SecureComm 2021, Virtual Event, September 6–9, 2021, Proceedings, Part I. Garcia-Alfaro, J., Li, S., Poovendran, R., Debar, H. & Yung, M. (eds.). Cham: Springer, Vol. 1. p. 187-206 20 p. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 398).

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    2 Citations (Scopus)