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  2021 (33)
Towards Easy Vocabulary Drafts with Neologism 2.0. Lipp, J., Gleim, L., Cochez, M., Dimitriadis, I., Ali, H., Alvarez, D. H., Lange, C., & Decker, S. In Verborgh, R., Dimou, A., Hogan, A., d'Amato , C., Tiddi, I., Bröring, A., Mayer, S., Ongenae, F., Tommasini, R., & Alam, M., editor(s), The Semantic Web: ESWC 2021 Satellite Events, pages 21–26, Cham, 2021. Springer International Publishing
Towards Easy Vocabulary Drafts with Neologism 2.0 [link]Paper   link   bibtex   abstract  
Knowledge Graphs. Hogan, A., Blomqvist, E., Cochez, M., D’amato, C., Melo, G. D., Gutierrez, C., Kirrane, S., Gayo, J. E. L., Navigli, R., Neumaier, S., Ngomo, A. N., Polleres, A., Rashid, S. M., Rula, A., Schmelzeisen, L., Sequeda, J., Staab, S., & Zimmermann, A. ACM Comput. Surv., 54(4). July 2021.
Knowledge Graphs [link]Paper   doi   link   bibtex   abstract  
Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data. Chakrabarti, A., Das, A., Cochez, M., & Quix, C. In Bellatreche, L., Dumas, M., Karras, P., & Matulevičius, R., editor(s), Advances in Databases and Information Systems, pages 183–197, Cham, 2021. Springer International Publishing
Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data [pdf]Paper   link   bibtex   abstract  
DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging. Karim, M. R., Jiao, J., Döhmen, T., Cochez, M., Beyan, O., Rebholz-Schuhmann, D., & Decker, S. IEEE Access, 9: 39757-39780. 2021.
doi   link   bibtex  
Query Embedding on Hyper-relational Knowledge Graphs. Alivanistos, D., Berrendorf, M., Cochez, M., & Galkin, M. CoRR, abs/2106.08166. 2021.
Query Embedding on Hyper-relational Knowledge Graphs [link]Paper   link   bibtex  
Modular design patterns for hybrid learning and reasoning systems. van Bekkum, M., de Boer, M., van Harmelen, F., Meyer-Vitali, A., & ten Teije, A. Appl. Intell., 51(9): 6528–6546. 2021.
Modular design patterns for hybrid learning and reasoning systems [link]Paper   doi   link   bibtex  
Network metrics for assessing the quality of entity resolution between multiple datasets. Idrissou, A. K., van Harmelen, F., & van den Besselaar, P. Semantic Web, 12(1): 21–40. 2021.
Network metrics for assessing the quality of entity resolution between multiple datasets [link]Paper   doi   link   bibtex  
Biomedical Dataset Recommendation. Wang, X., van Harmelen, F., & Huang, Z. In Quix, C., Hammoudi, S., & van der Aalst, W. M. P., editor(s), Proceedings of the 10th International Conference on Data Science, Technology and Applications, DATA 2021, Online Streaming, July 6-8, 2021, pages 192–199, 2021. SCITEPRESS
Biomedical Dataset Recommendation [link]Paper   doi   link   bibtex  
Refining Transitive and Pseudo-Transitive Relations at Web Scale. Wang, S., Raad, J., Bloem, P., & van Harmelen, F. In Verborgh, R., Hose, K., Paulheim, H., Champin, P., Maleshkova, M., Corcho, Ó., Ristoski, P., & Alam, M., editor(s), The Semantic Web - 18th International Conference, ESWC 2021, Virtual Event, June 6-10, 2021, Proceedings, volume 12731, of Lecture Notes in Computer Science, pages 249–264, 2021. Springer
Refining Transitive and Pseudo-Transitive Relations at Web Scale [link]Paper   doi   link   bibtex  
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021. Martin, A., Hinkelmann, K., Fill, H., Gerber, A., Lenat, D., Stolle, R., & van Harmelen, F., editors. Volume 2846, of CEUR Workshop Proceedings.CEUR-WS.org. 2021.
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021 [link]Paper   link   bibtex  
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases. van Bekkum, M., de Boer, M., van Harmelen, F., Meyer-Vitali, A., & ten Teije, A. CoRR, abs/2102.11965. 2021.
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases [link]Paper   link   bibtex  
Modular design patterns for hybrid learning and reasoning systems. van Bekkum, M., de Boer, M., van Harmelen, F., Meyer-Vitali, A., & ten Teije, A. Appl. Intell., 51(9): 6528–6546. 2021.
Modular design patterns for hybrid learning and reasoning systems [link]Paper   doi   link   bibtex  
Preface: AIME 2019. Riaño, D., Wilk, S., & ten Teije, A. Artif. Intell. Medicine, 115: 102058. 2021.
Preface: AIME 2019 [link]Paper   doi   link   bibtex  
Team Design Patterns for Moral Decisions in Hybrid Intelligent Systems: A Case Study of Bias Mitigation. van Stijn, J. J., Neerincx, M. A., ten Teije, A., & Vethman, S. In Martin, A., Hinkelmann, K., Fill, H., Gerber, A., Lenat, D., Stolle, R., & van Harmelen, F., editor(s), Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021, volume 2846, of CEUR Workshop Proceedings, 2021. CEUR-WS.org
Team Design Patterns for Moral Decisions in Hybrid Intelligent Systems: A Case Study of Bias Mitigation [pdf]Paper   link   bibtex  
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases. van Bekkum, M., de Boer, M., van Harmelen, F., Meyer-Vitali, A., & ten Teije, A. CoRR, abs/2102.11965. 2021.
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases [link]Paper   link   bibtex  
Storchastic: A Framework for General Stochastic Automatic Differentiation. van Krieken, E., Tomczak, J. M., & ten Teije, A. CoRR, abs/2104.00428. 2021.
Storchastic: A Framework for General Stochastic Automatic Differentiation [link]Paper   link   bibtex  
Biomedical dataset recommendation. Wang, X., van Harmelen , F., & Huang, Z. In Quix, C., Hammoudi, S., & van der Aalst , W., editor(s), Proceedings of the 10th International Conference on Data Science, Technology and Applications, DATA 2021, pages 192–199, 2021. SciTePress 10th International Conference on Data Science, Technology and Applications, DATA 2021 ; Conference date: 06-07-2021 Through 08-07-2021
doi   link   bibtex   abstract  
Predicting the relationships between gut microbiota and mental disorders with knowledge graphs. Liu, T., Pan, X., Wang, X., Feenstra, K. A., Heringa, J., & Huang, Z. Health Inf. Sci. Syst., 9(1): 3. 2021.
Predicting the relationships between gut microbiota and mental disorders with knowledge graphs [link]Paper   doi   link   bibtex  
Knowledge Graphs of Kawasaki Disease. Huang, Z., Hu, Q., Liao, M., Miao, C., Wang, C., & Liu, G. Health Inf. Sci. Syst., 9(1): 11. 2021.
Knowledge Graphs of Kawasaki Disease [link]Paper   doi   link   bibtex  
Guest Editorial: Special issue on "Artificial Intelligence in Health Informatics". Siuly, S., Aickelin, U., Kabir, M. E., Huang, Z., & Zhang, Y. Health Inf. Sci. Syst., 9(1): 23. 2021.
Guest Editorial: Special issue on "Artificial Intelligence in Health Informatics" [link]Paper   doi   link   bibtex  
Biomedical Dataset Recommendation. Wang, X., van Harmelen, F., & Huang, Z. In Quix, C., Hammoudi, S., & van der Aalst, W. M. P., editor(s), Proceedings of the 10th International Conference on Data Science, Technology and Applications, DATA 2021, Online Streaming, July 6-8, 2021, pages 192–199, 2021. SCITEPRESS
Biomedical Dataset Recommendation [link]Paper   doi   link   bibtex  
Extracting knowledge from Deep Neural Networks through graph analysis. Horta, V. A. C., Tiddi, I., Little, S., & Mileo, A. Future Gener. Comput. Syst., 120: 109–118. 2021.
Extracting knowledge from Deep Neural Networks through graph analysis [link]Paper   doi   link   bibtex  
Learning Profile-Based Recommendations for Medical Search Auto-Complete. Boomgaard, G., Santamaría, S. B., Tiddi, I., Sips, R., & Szlávik, Z. In Martin, A., Hinkelmann, K., Fill, H., Gerber, A., Lenat, D., Stolle, R., & van Harmelen, F., editor(s), Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021, volume 2846, of CEUR Workshop Proceedings, 2021. CEUR-WS.org
Learning Profile-Based Recommendations for Medical Search Auto-Complete [pdf]Paper   link   bibtex  
Discovering Research Hypotheses in Social Science Using Knowledge Graph Embeddings. de Haan, R., Tiddi, I., & Beek, W. In Verborgh, R., Hose, K., Paulheim, H., Champin, P., Maleshkova, M., Corcho, Ó., Ristoski, P., & Alam, M., editor(s), The Semantic Web - 18th International Conference, ESWC 2021, Virtual Event, June 6-10, 2021, Proceedings, volume 12731, of Lecture Notes in Computer Science, pages 477–494, 2021. Springer
Discovering Research Hypotheses in Social Science Using Knowledge Graph Embeddings [link]Paper   doi   link   bibtex  
DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging. Karim, M. R., Jiao, J., Döhmen, T., Cochez, M., Beyan, O., Rebholz-Schuhmann, D., & Decker, S. IEEE Access, 9: 39757–39780. 2021.
DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging [link]Paper   doi   link   bibtex  
Deep learning-based clustering approaches for bioinformatics. Karim, M. R., Beyan, O., Zappa, A., Costa, I. G., Rebholz-Schuhmann, D., Cochez, M., & Decker, S. Briefings Bioinform., 22(1): 393–415. 2021.
Deep learning-based clustering approaches for bioinformatics [link]Paper   doi   link   bibtex  
Graph Structures for Knowledge Representation and Reasoning - 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers. Cochez, M., Croitoru, M., Marquis, P., & Rudolph, S., editors. Volume 12640, of Lecture Notes in Computer Science.Springer. 2021.
Graph Structures for Knowledge Representation and Reasoning - 6th International Workshop, GKR 2020, Virtual Event, September 5, 2020, Revised Selected Papers [link]Paper   doi   link   bibtex  
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. van Bakel, R., Aleksiev, T., Daza, D., Alivanistos, D., & Cochez, M. CoRR, abs/2102.11389. 2021.
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification [link]Paper   link   bibtex  
Secure Evaluation of Knowledge Graph Merging Gain. Eichenberger, L., Cochez, M., Heitmann, B., & Decker, S. CoRR, abs/2103.00082. 2021.
Secure Evaluation of Knowledge Graph Merging Gain [link]Paper   link   bibtex  
Query Embedding on Hyper-relational Knowledge Graphs. Alivanistos, D., Berrendorf, M., Cochez, M., & Galkin, M. CoRR, abs/2106.08166. 2021.
Query Embedding on Hyper-relational Knowledge Graphs [link]Paper   link   bibtex  
kgbench: A Collection of Datasets for Multimodal and Relational Learning on Heterogeneous Knowledge. Wilcke, W., Bloem, P, van Berkel, L, & de Boer, V In Proceedings of the European Semantic Web Conference 2021, pages 614–630, 2021. Springer
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Inductive Entity Representations from Text via Link Prediction. Daza, D., Cochez, M., & Groth, P. In Proceedings of The Web Conference 2021, of WWW '21, New York, NY, USA, 2021. Association for Computing Machinery
Inductive Entity Representations from Text via Link Prediction [link]Paper   doi   link   bibtex  
Complex Query Answering with Neural Link Predictors. Arakelyan, E., Daza, D., Minervini, P., & Cochez, M. In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 2021. OpenReview.net
Complex Query Answering with Neural Link Predictors [link]Paper   link   bibtex  
  2020 (45)
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. Karim, M. R., Döhmen, T., Cochez, M., Beyan, O., Rebholz-Schuhmann, D., & Decker, S. In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 1034-1037, 2020.
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images [link]Paper   doi   link   bibtex  
SchemaTree: Maximum-Likelihood Property Recommendation for Wikidata. Gleim, L. C., Schimassek, R., Hüser, D., Peters, M., Krämer, C., Cochez, M., & Decker, S. In Harth, A., Kirrane, S., Ngonga Ngomo, A., Paulheim, H., Rula, A., Gentile, A. L., Haase, P., & Cochez, M., editor(s), The Semantic Web, pages 179–195, Cham, 2020. Springer International Publishing
link   bibtex   abstract  
Structured query construction via knowledge graph embedding. Wang, R., Wang, M., Liu, J., Cochez, M., & Decker, S. Knowledge and Information Systems, 62(5): 1819-1846. May 2020.
Structured query construction via knowledge graph embedding [link]Paper   doi   link   bibtex   abstract  
Morphological evolution for pipe inspection using Robot Operating System (ROS). Hallawa, A., Iacca, G., Sariman, C., Rahman, T., Cochez, M., & Ascheid, G. Materials and Manufacturing Processes, 35(6): 714-724. 2020.
Morphological evolution for pipe inspection using Robot Operating System (ROS) [link]Paper   doi   link   bibtex  
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. Karim, M. R., Raja Chakravarthi, B., McCrae, J. P., & Cochez, M. In 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), pages 390-399, 2020.
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network [link]Paper   doi   link   bibtex  
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Akata, Z., Balliet, D., de Rijke, M., Dignum, F., Dignum, V., Eiben, G., Fokkens, A., Grossi, D., Hindriks, K. V., Hoos, H. H., Hung, H., Jonker, C. M., Monz, C., Neerincx, M. A., Oliehoek, F. A., Prakken, H., Schlobach, S., van der Gaag, L. C., van Harmelen, F., van Hoof, H., van Riemsdijk, B., van Wynsberghe, A., Verbrugge, R., Verheij, B., Vossen, P., & Welling, M. Computer, 53(8): 18–28. 2020.
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence [link]Paper   doi   link   bibtex