generated by bibbase.org
  2023 (20)
Qualifier Recommendation for Wikidata. Ducu, A. M.; and Cochez, M. In Kaffee, L.; Razniewski, S.; Alghamdi, K.; and Arnaout, H., editor(s), Wikidata@ISWC, volume 3640, of CEUR Workshop Proceedings, 2023. CEUR-WS.org
Qualifier Recommendation for Wikidata. [pdf]Link   Qualifier Recommendation for Wikidata. [link]Paper   link   bibtex  
Knowledge Graph Embeddings: Open Challenges and Opportunities. Biswas, R.; Kaffee, L.; Cochez, M.; Dumbrava, S.; Jendal, T. E.; Lissandrini, M.; López, V.; Mencía, E. L.; Paulheim, H.; Sack, H.; Vakaj, E.; and de Melo, G. TGDK, 1(1): 4:1-4:32. 2023.
Knowledge Graph Embeddings: Open Challenges and Opportunities. [link]Link   Knowledge Graph Embeddings: Open Challenges and Opportunities. [link]Paper   link   bibtex  
BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs. Daza, D.; Alivanistos, D.; Mitra, P.; Pijnenburg, T.; Cochez, M.; and Groth, P. J. Biomed. Semant., 14(1): 20. 12 2023.
BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs. [link]Link   BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs. [link]Paper   link   bibtex  
Structural Summarization of Semantic Graphs Using Quotients. Scherp, A.; Richerby, D.; Blume, T.; Cochez, M.; and Rau, J. TGDK, 1(1): 12:1-12:25. 2023.
Structural Summarization of Semantic Graphs Using Quotients. [link]Link   Structural Summarization of Semantic Graphs Using Quotients. [link]Paper   link   bibtex  
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs. Wang, R.; Rossetto, L.; Cochez, M.; and Bernstein, A. CoRR, abs/2312.02317. 2023.
GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs. [link]Link   GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs. [link]Paper   link   bibtex  
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency. Shaikh, A.; Cochez, M.; Diachkov, D.; de Rijcke, M.; and Yousefi, S. CoRR, abs/2311.05778. 2023.
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency. [link]Link   DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency. [link]Paper   link   bibtex  
Approximate Answering of Graph Queries. Cochez, M.; Alivanistos, D.; Arakelyan, E.; Berrendorf, M.; Daza, D.; Galkin, M.; Minervini, P.; Niepert, M.; and Ren, H. In Hitzler, P.; Sarker, M. K.; and Eberhart, A., editor(s), Compendium of Neurosymbolic Artificial Intelligence, volume 369, of Frontiers in Artificial Intelligence and Applications, pages 373-386. IOS Press, 2023.
Approximate Answering of Graph Queries. [link]Link   Approximate Answering of Graph Queries. [link]Paper   link   bibtex  
Explainable AI for Bioinformatics: Methods, Tools and Applications. Karim, M. R.; Islam, T.; Shajalal, M.; Beyan, O.; Lange, C.; Cochez, M.; Rebholz-Schuhmann, D.; and Decker, S. Briefings Bioinform., 24(5). 09 2023.
Explainable AI for Bioinformatics: Methods, Tools and Applications. [link]Link   Explainable AI for Bioinformatics: Methods, Tools and Applications. [link]Paper   link   bibtex  
Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. Xiong, B.; Nayyeri, M.; Daza, D.; and Cochez, M. In Frommholz, I.; Hopfgartner, F.; Lee, M.; Oakes, M.; Lalmas, M.; Zhang, M.; and Santos, R. L. T., editor(s), CIKM, pages 5228-5231, 2023. ACM
Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. [link]Link   Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. [link]Paper   link   bibtex  
A knowledge graph approach to predict and interpret disease-causing gene interactions. Renaux, A.; Terwagne, C.; Cochez, M.; Tiddi, I.; Nowé, A.; and Lenaerts, T. BMC Bioinform., 24(1): 324. 12 2023.
A knowledge graph approach to predict and interpret disease-causing gene interactions. [link]Link   A knowledge graph approach to predict and interpret disease-causing gene interactions. [link]Paper   link   bibtex  
The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. Molan, M.; Khan, J. A.; Bartolini, A.; Turra, R.; Pedrazzi, G.; Cochez, M.; Iosup, A.; Roman, D.; Rozanec, J. M.; Varbanescu, A. L.; and Prodan, R. In Shahriar, H.; Teranishi, Y.; Cuzzocrea, A.; Sharmin, M.; Towey, D.; Majumder, A. K. M. J. A.; Kashiwazaki, H.; Yang, J.; Takemoto, M.; Sakib, N.; Banno, R.; and Ahamed, S. I., editor(s), COMPSAC, pages 1459-1464, 2023. IEEE
The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. [link]Link   The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. [link]Paper   link   bibtex  
A Machine with Short-Term, Episodic, and Semantic Memory Systems. Kim, T.; Cochez, M.; François-Lavet, V.; Neerincx, M. A.; and Vossen, P. In Williams, B.; Chen, Y.; and Neville, J., editor(s), AAAI, pages 48-56, 2023. AAAI Press
A Machine with Short-Term, Episodic, and Semantic Memory Systems. [link]Link   A Machine with Short-Term, Episodic, and Semantic Memory Systems. [link]Paper   link   bibtex  
Approximate Answering of Graph Queries. Cochez, M.; Alivanistos, D.; Arakelyan, E.; Berrendorf, M.; Daza, D.; Galkin, M.; Minervini, P.; Niepert, M.; and Ren, H. CoRR, abs/2308.06585. 2023.
Approximate Answering of Graph Queries. [link]Link   Approximate Answering of Graph Queries. [link]Paper   link   bibtex  
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. Ren, H.; Galkin, M.; Cochez, M.; Zhu, Z.; and Leskovec, J. CoRR, abs/2303.14617. 2023.
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. [link]Link   Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. [link]Paper   link   bibtex  
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs. Daza, D.; Alivanistos, D.; Mitra, P.; Pijnenburg, T.; Cochez, M.; and Groth, P. CoRR, abs/2306.03606. 2023.
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs. [link]Link   BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs. [link]Paper   link   bibtex  
Adv-Bot: Realistic adversarial botnet attacks against network intrusion detection systems. Debicha, I.; Cochez, B.; Kenaza, T.; Debatty, T.; Dricot, J.; and Mees, W. Comput. Secur., 129: 103176. 06 2023.
Adv-Bot: Realistic adversarial botnet attacks against network intrusion detection systems. [link]Link   Adv-Bot: Realistic adversarial botnet attacks against network intrusion detection systems. [link]Paper   link   bibtex  
Geometric Relational Embeddings: A Survey. Xiong, B.; Nayyeri, M.; Jin, M.; He, Y.; Cochez, M.; Pan, S.; and Staab, S. CoRR, abs/2304.11949. 2023.
Geometric Relational Embeddings: A Survey. [link]Link   Geometric Relational Embeddings: A Survey. [link]Paper   link   bibtex  
Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning. Rozanec, J. M.; Cochez, M.; van Bakel, R.; Elvesæter, B.; and Roman, D. In Vieira, M.; Cardellini, V.; Marco, A. D.; and Tuma, P., editor(s), ICPE (Companion), pages 251-252, 2023. ACM
Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning. [link]Link   Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning. [link]Paper   link   bibtex  
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems. Debicha, I.; Cochez, B.; Kenaza, T.; Debatty, T.; Dricot, J.; and Mees, W. CoRR, abs/2303.07003. 2023.
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems. [link]Link   Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems. [link]Paper   link   bibtex  
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems. Debicha, I.; Cochez, B.; Kenaza, T.; Debatty, T.; Dricot, J.; and Mees, W. CoRR, abs/2303.06664. 2023.
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems. [link]Link   Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems. [link]Paper   link   bibtex  
  2022 (21)
Towards a standard-based open data ecosystem: analysis of DCAT-AP use at national and European level. Barthélemy, F.; Cochez, M.; Dimitriadis, I.; Karim, N.; Loutas, N.; Magnisalis, I.; Comet, L. M.; Peristeras, V.; and Wyns, B. Electron. Gov. an Int. J., 18(2): 137-180. 2022.
Towards a standard-based open data ecosystem: analysis of DCAT-AP use at national and European level. [link]Link   Towards a standard-based open data ecosystem: analysis of DCAT-AP use at national and European level. [link]Paper   link   bibtex  
Prompting as Probing: Using Language Models for Knowledge Base Construction. Alivanistos, D.; Santamaría, S. B.; Cochez, M.; Kalo, J.; van Krieken, E.; and Thanapalasingam, T. In Singhania, S.; Nguyen, T.; and Razniewski, S., editor(s), LM-KBC@ISWC, volume 3274, of CEUR Workshop Proceedings, pages 11-34, 2022. CEUR-WS.org
Prompting as Probing: Using Language Models for Knowledge Base Construction. [pdf]Link   Prompting as Probing: Using Language Models for Knowledge Base Construction. [link]Paper   link   bibtex   4 downloads  
Hyperbolic Embedding Inference for Structured Multi-Label Prediction. Xiong, B.; Cochez, M.; Nayyeri, M.; and Staab, S. In Koyejo, S.; Mohamed, S.; Agarwal, A.; Belgrave, D.; Cho, K.; and Oh, A., editor(s), NeurIPS, 2022.
Hyperbolic Embedding Inference for Structured Multi-Label Prediction. [link]Link   Hyperbolic Embedding Inference for Structured Multi-Label Prediction. [link]Paper   link   bibtex  
SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning. Daza, D.; Cochez, M.; and Groth, P. In Vlachos, A.; Agrawal, P.; Martins, A. F. T.; Lampouras, G.; and Lyu, C., editor(s), SPNLP@ACL, pages 32-39, 2022. Association for Computational Linguistics
SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning. [link]Link   SlotGAN: Detecting Mentions in Text via Adversarial Distant Learning. [link]Paper   link   bibtex   1 download  
Knowledge Graphs. Hogan, A.; Blomqvist, E.; Cochez, M.; d'Amato , C.; de Melo, G.; 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. F.; Staab, S.; and Zimmermann, A. ACM Comput. Surv., 54(4): 71:1–71:37. 2022.
Knowledge Graphs [link]Paper   doi   link   bibtex  
Bengali Hate Speech Detection Dataset. Dey, S. K.; Cochez, M.; and Karim, M. R. 04 2022.
Bengali Hate Speech Detection Dataset. [link]Link   link   bibtex  
Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing. Karim, M. R.; Cochez, M.; Zappa, A.; Sahay, R.; Rebholz-Schuhmann, D.; Beyan, O.; and Decker, S. IEEE ACM Trans. Comput. Biol. Bioinform., 19(1): 369-382. 2022.
Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing. [link]Link   Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing. [link]Paper   link   bibtex  
Knowledge Graphs. Hogan, A.; Blomqvist, E.; Cochez, M.; d'Amato , C.; de Melo, G.; 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. F.; Staab, S.; and Zimmermann, A. ACM Comput. Surv., 54(4): 71:1-71:37. 2022.
Knowledge Graphs. [link]Link   Knowledge Graphs. [link]Paper   link   bibtex  
Potential Energy to Improve Link Prediction With Relational Graph Neural Networks. Colombo, S.; Alivanistos, D.; and Cochez, M. In Martin, A.; Hinkelmann, K.; Fill, H.; Gerber, A.; Lenat, D.; Stolle, R.; and van Harmelen, F., editor(s), AAAI Spring Symposium: MAKE, volume 3121, of CEUR Workshop Proceedings, 2022. CEUR-WS.org
Potential Energy to Improve Link Prediction With Relational Graph Neural Networks. [pdf]Link   Potential Energy to Improve Link Prediction With Relational Graph Neural Networks. [link]Paper   link   bibtex   1 download  
Explainable AI for Bioinformatics: Methods, Tools, and Applications. Karim, M. R.; Islam, T.; Beyan, O.; Lange, C.; Cochez, M.; Rebholz-Schuhmann, D.; and Decker, S. CoRR, abs/2212.13261. 2022.
Explainable AI for Bioinformatics: Methods, Tools, and Applications. [link]Link   Explainable AI for Bioinformatics: Methods, Tools, and Applications. [link]Paper   link   bibtex  
A Machine with Short-Term, Episodic, and Semantic Memory Systems. Kim, T.; Cochez, M.; François-Lavet, V.; Neerincx, M. A.; and Vossen, P. CoRR, abs/2212.02098. 2022.
A Machine with Short-Term, Episodic, and Semantic Memory Systems. [link]Link   A Machine with Short-Term, Episodic, and Semantic Memory Systems. [link]Paper   link   bibtex  
Scaling R-GCN Training with Graph Summarization. Generale, A.; Blume, T.; and Cochez, M. In Laforest, F.; Troncy, R.; Simperl, E.; Agarwal, D.; Gionis, A.; Herman, I.; and Médini, L., editor(s), WWW (Companion Volume), pages 1073-1082, 2022. ACM
Scaling R-GCN Training with Graph Summarization. [link]Link   Scaling R-GCN Training with Graph Summarization. [link]Paper   link   bibtex   1 download  
Scientific Item Recommendation Using a Citation Network. Wang, X.; van Harmelen, F.; Cochez, M.; and Huang, Z. In Memmi, G.; Yang, B.; Kong, L.; Zhang, T.; and Qiu, M., editor(s), KSEM (2), volume 13369, of Lecture Notes in Computer Science, pages 469-484, 2022. Springer
Scientific Item Recommendation Using a Citation Network. [link]Link   Scientific Item Recommendation Using a Citation Network. [link]Paper   link   bibtex  
Editorial of the Special Issue on Deep Learning and Knowledge Graphs. Alam, M.; Buscaldi, D.; Cochez, M.; Osborne, F.; Recupero, D. R.; and Sack, H. Semantic Web, 13(3): 293–297. 2022.
Editorial of the Special Issue on Deep Learning and Knowledge Graphs [link]Paper   doi   link   bibtex  
Prompting as Probing: Using Language Models for Knowledge Base Construction. Alivanistos, D.; Santamaría, S. B.; Cochez, M.; Kalo, J.; van Krieken, E.; and Thanapalasingam, T. CoRR, abs/2208.11057. 2022.
Prompting as Probing: Using Language Models for Knowledge Base Construction. [link]Link   Prompting as Probing: Using Language Models for Knowledge Base Construction. [link]Paper   link   bibtex   4 downloads  
Query Embedding on Hyper-Relational Knowledge Graphs. Alivanistos, D.; Berrendorf, M.; Cochez, M.; and Galkin, M. In ICLR, 2022. OpenReview.net
Query Embedding on Hyper-Relational Knowledge Graphs. [link]Link   Query Embedding on Hyper-Relational Knowledge Graphs. [link]Paper   link   bibtex   1 download  
Editorial of the Special Issue on Deep Learning and Knowledge Graphs. Alam, M.; Buscaldi, D.; Cochez, M.; Osborne, F.; Recupero, D. R.; and Sack, H. Semantic Web, 13(3): 293-297. 2022.
Editorial of the Special Issue on Deep Learning and Knowledge Graphs. [link]Link   Editorial of the Special Issue on Deep Learning and Knowledge Graphs. [link]Paper   link   bibtex  
QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System. Wang, R.; Rossetto, L.; Cochez, M.; and Bernstein, A. CoRR, abs/2206.01818. 2022.
QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System. [link]Link   QAGCN: A Graph Convolutional Network-based Multi-Relation Question Answering System. [link]Paper   link   bibtex  
Complex Query Answering with Neural Link Predictors (Extended Abstract). Minervini, P.; Arakelyan, E.; Daza, D.; and Cochez, M. In Raedt, L. D., editor(s), IJCAI, pages 5309-5313, 2022. ijcai.org
Complex Query Answering with Neural Link Predictors (Extended Abstract). [link]Link   Complex Query Answering with Neural Link Predictors (Extended Abstract). [link]Paper   link   bibtex  
A Machine With Human-Like Memory Systems. Kim, T.; Cochez, M.; François-Lavet, V.; Neerincx, M. A.; and Vossen, P. CoRR, abs/2204.01611. 2022.
A Machine With Human-Like Memory Systems. [link]Link   A Machine With Human-Like Memory Systems. [link]Paper   link   bibtex  
Scaling R-GCN Training with Graph Summarization. Generale, A.; Blume, T.; and Cochez, M. CoRR, abs/2203.02622. 2022.
Scaling R-GCN Training with Graph Summarization. [link]Link   Scaling R-GCN Training with Graph Summarization. [link]Paper   link   bibtex   1 download  
  2021 (11)
Knowledge Graphs. Hogan, A.; Blomqvist, E.; Cochez, M.; d'Amato , C.; de Melo, G.; 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.; and Zimmermann, A. of Synthesis Lectures on Data, Semantics, and KnowledgeMorgan & Claypool Publishers, 2021.
Knowledge Graphs [link]Link   link   bibtex  
Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data. Chakrabarti, A.; Das, A.; Cochez, M.; and Quix, C. In Bellatreche, L.; Dumas, M.; Karras, P.; and Matulevicius, R., editor(s), ADBIS, volume 12843, of Lecture Notes in Computer Science, pages 183-197, 2021. Springer
Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data. [link]Link   Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data. [link]Paper   link   bibtex   2 downloads  
Inductive Entity Representations from Text via Link Prediction. Daza, D.; Cochez, M.; and Groth, P. In Leskovec, J.; Grobelnik, M.; Najork, M.; Tang, J.; and Zia, L., editor(s), WWW, pages 798-808, 2021. ACM / IW3C2
Inductive Entity Representations from Text via Link Prediction. [link]Link   Inductive Entity Representations from Text via Link Prediction. [link]Paper   link   bibtex   2 downloads  
Deep learning-based clustering approaches for bioinformatics. Karim, M. R.; Beyan, O.; Zappa, A.; Costa, I. G.; Rebholz-Schuhmann, D.; Cochez, M.; and Decker, S. Briefings Bioinform., 22(1): 393-415. 2021.
Deep learning-based clustering approaches for bioinformatics. [link]Link   Deep learning-based clustering approaches for bioinformatics. [link]Paper   link   bibtex  
Towards Easy Vocabulary Drafts with Neologism 2.0. Lipp, J.; Gleim, L. C.; Cochez, M.; Dimitriadis, I.; Ali, H.; Alvarez, D. H.; Lange, C.; and Decker, S. In Verborgh, R.; Dimou, A.; Hogan, A.; d'Amato , C.; Tiddi, I.; Bröring, A.; Maier, S.; Ongenae, F.; Tommasini, R.; and Alam, M., editor(s), ESWC (Satellite Events), volume 12739, of Lecture Notes in Computer Science, pages 21-26, 2021. Springer
Towards Easy Vocabulary Drafts with Neologism 2.0. [link]Link   Towards Easy Vocabulary Drafts with Neologism 2.0. [link]Paper   link   bibtex   5 downloads  
Complex Query Answering with Neural Link Predictors. Arakelyan, E.; Daza, D.; Minervini, P.; and Cochez, M. In ICLR, 2021. OpenReview.net
Complex Query Answering with Neural Link Predictors. [link]Link   Complex Query Answering with Neural Link Predictors. [link]Paper   link   bibtex   5 downloads  
Updating Embeddings for Dynamic Knowledge Graphs. Wewer, C.; Lemmerich, F.; and Cochez, M. CoRR, abs/2109.10896. 2021.
Updating Embeddings for Dynamic Knowledge Graphs. [link]Link   Updating Embeddings for Dynamic Knowledge Graphs. [link]Paper   link   bibtex  
Query Embedding on Hyper-relational Knowledge Graphs. Alivanistos, D.; Berrendorf, M.; Cochez, M.; and Galkin, M. CoRR, abs/2106.08166. 2021.
Query Embedding on Hyper-relational Knowledge Graphs. [link]Link   Query Embedding on Hyper-relational Knowledge Graphs. [link]Paper   link   bibtex   3 downloads  
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.; and Decker, S. IEEE Access, 9: 39757-39780. 2021.
DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging. [link]Link   DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging. [link]Paper   link   bibtex   3 downloads  
Secure Evaluation of Knowledge Graph Merging Gain. Eichenberger, L.; Cochez, M.; Heitmann, B.; and Decker, S. CoRR, abs/2103.00082. 2021.
Secure Evaluation of Knowledge Graph Merging Gain. [link]Link   Secure Evaluation of Knowledge Graph Merging Gain. [link]Paper   link   bibtex  
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. van Bakel, R.; Aleksiev, T.; Daza, D.; Alivanistos, D.; and Cochez, M. CoRR, abs/2102.11389. 2021.
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. [link]Link   Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. [link]Paper   link   bibtex  
  2020 (15)
Knowledge Graphs. Hogan, A.; Blomqvist, E.; Cochez, M.; d'Amato , C.; de Melo, G.; Gutierrez, C.; Gayo, J. E. L.; Kirrane, S.; Neumaier, S.; Polleres, A.; Navigli, R.; Ngomo, A. N.; Rashid, S. M.; Rula, A.; Schmelzeisen, L.; Sequeda, J. F.; Staab, S.; and Zimmermann, A. CoRR, abs/2003.02320. 2020.
Knowledge Graphs. [link]Link   Knowledge Graphs. [link]Paper   link   bibtex  
Structured query construction via knowledge graph embedding. Wang, R.; Wang, M.; Liu, J.; Cochez, M.; and Decker, S. Knowl. Inf. Syst., 62(5): 1819-1846. 2020.
Structured query construction via knowledge graph embedding. [link]Link   Structured query construction via knowledge graph embedding. [link]Paper   link   bibtex   2 downloads  
GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques. Pellegrino, M. A.; Altabba, A.; Garofalo, M.; Ristoski, P.; and Cochez, M. In Harth, A.; Kirrane, S.; Ngomo, A. N.; Paulheim, H.; Rula, A.; Gentile, A. L.; Haase, P.; and Cochez, M., editor(s), ESWC, volume 12123, of Lecture Notes in Computer Science, pages 565-582, 2020. Springer
GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques. [link]Link   GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques. [link]Paper   link   bibtex  
Inductive Entity Representations from Text via Link Prediction. Daza, D.; Cochez, M.; and Groth, P. CoRR, abs/2010.03496. 2020.
Inductive Entity Representations from Text via Link Prediction [link]Paper   link   bibtex  
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. van Bakel, R.; Aleksiev, T.; Daza, D.; Alivanistos, D.; and Cochez, M. In Cochez, M.; Croitoru, M.; Marquis, P.; and Rudolph, S., editor(s), GKR, volume 12640, of Lecture Notes in Computer Science, pages 107-124, 2020. Springer
Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. [link]Link   Approximate Knowledge Graph Query Answering: From Ranking to Binary Classification. [link]Paper   link   bibtex  
SchemaTree: Maximum-Likelihood Property Recommendation for Wikidata. Gleim, L. C.; Schimassek, R.; Hüser, D.; Peters, M.; Krämer, C.; Cochez, M.; and Decker, S. In Harth, A.; Kirrane, S.; Ngomo, A. N.; Paulheim, H.; Rula, A.; Gentile, A. L.; Haase, P.; and Cochez, M., editor(s), ESWC, volume 12123, of Lecture Notes in Computer Science, pages 179-195, 2020. Springer
SchemaTree: Maximum-Likelihood Property Recommendation for Wikidata. [link]Link   SchemaTree: Maximum-Likelihood Property Recommendation for Wikidata. [link]Paper   link   bibtex  
Knowledge Graphs. Hogan, A.; Blomqvist, E.; Cochez, M.; d'Amato , C.; de Melo, G.; Gutierrez, C.; Gayo, J. E. L.; Kirrane, S.; Neumaier, S.; Polleres, A.; Navigli, R.; Ngomo, A. N.; Rashid, S. M.; Rula, A.; Schmelzeisen, L.; Sequeda, J.; Staab, S.; and Zimmermann, A. 2020. cite arxiv:2003.02320Comment: Revision from v4: Correcting minor typos and errata involving entailment discussion (former/latter), figure for query rewriting (swap city/venue for location), add more brittle nodes in connectivity; etc
Knowledge Graphs [link]Paper   link   bibtex   abstract  
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. Karim, M. R.; Döhmen, T.; Cochez, M.; Beyan, O.; Rebholz-Schuhmann, D.; and Decker, S. In Park, T.; Cho, Y.; Hu, X.; Yoo, I.; Woo, H. G.; Wang, J.; Facelli, J. C.; Nam, S.; and Kang, M., editor(s), BIBM, pages 1034-1037, 2020. IEEE
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. [link]Link   DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images. [link]Paper   link   bibtex   1 download  
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. Karim, M. R.; Chakravarthi, B. R.; McCrae, J. P.; and Cochez, M. In Webb, G. I.; Zhang, Z.; Tseng, V. S.; Williams, G.; Vlachos, M.; and Cao, L., editor(s), DSAA, pages 390-399, 2020. IEEE
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. [link]Link   Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. [link]Paper   link   bibtex  
Complex Query Answering with Neural Link Predictors. Arakelyan, E.; Daza, D.; Minervini, P.; and Cochez, M. CoRR, abs/2011.03459. 2020.
Complex Query Answering with Neural Link Predictors. [link]Link   Complex Query Answering with Neural Link Predictors. [link]Paper   link   bibtex  
Inductive Entity Representations from Text via Link Prediction. Daza, D.; Cochez, M.; and Groth, P. CoRR, abs/2010.03496. 2020.
Inductive Entity Representations from Text via Link Prediction. [link]Link   Inductive Entity Representations from Text via Link Prediction. [link]Paper   link   bibtex  
DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images. Karim, M. R.; Döhmen, T.; Rebholz-Schuhmann, D.; Decker, S.; Cochez, M.; and Beyan, O. CoRR, abs/2004.04582. 2020.
DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images. [link]Link   DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images. [link]Paper   link   bibtex  
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. Karim, M. R.; Chakravarthi, B. R.; McCrae, J. P.; and Cochez, M. CoRR, abs/2004.07807. 2020.
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. [link]Link   Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. [link]Paper   link   bibtex  
Knowledge Graphs. Hogan, A.; Blomqvist, E.; Cochez, M.; d'Amato , C.; de Melo, G.; Gutierrez, C.; Labra Gayo, J. E.; Kirrane, S.; Neumaier, S.; Polleres, A.; Navigli, R.; Ngonga Ngomo, A.; Rashid, S. M.; Rula, A.; Schmelzeisen, L.; Sequeda, J.; Staab, S.; and Zimmermann, A. CoRR, abs/2003.02320. 03 2020.
Knowledge Graphs [link]Paper   link   bibtex   abstract  
Message Passing for Query Answering over Knowledge Graphs. Daza, D.; and Cochez, M. CoRR, abs/2002.02406. 2020.
Message Passing for Query Answering over Knowledge Graphs. [link]Link   Message Passing for Query Answering over Knowledge Graphs. [link]Paper   link   bibtex  
  2019 (16)
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. Karim, M. R.; Cochez, M.; Jares, J. B.; Uddin, M.; Beyan, O.; and Decker, S. In Shi, X. M.; Buck, M.; Ma, J.; and Veltri, P., editor(s), BCB, pages 113-123, 2019. ACM
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. [link]Link   Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. [link]Paper   link   bibtex  
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. Karim, M. R.; Cochez, M.; Beyan, O.; Decker, S.; and Lange, C. CoRR, abs/1909.04169. 2019.
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. [link]Link   OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. [link]Paper   link   bibtex  
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. Karim, M. R.; Cochez, M.; Jares, J. B.; Uddin, M.; Beyan, O.; and Decker, S. CoRR, abs/1908.01288. 2019.
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. [link]Link   Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network. [link]Paper   link   bibtex  
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. Wang, R.; Wang, M.; Liu, J.; Chen, W.; Cochez, M.; and Decker, S. In Li, G.; Yang, J.; Gama, J.; Natwichai, J.; and Tong, Y., editor(s), DASFAA (1), volume 11446, of Lecture Notes in Computer Science, pages 659-675, 2019. Springer
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. [link]Link   Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. [link]Paper   link   bibtex  
Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces. Ionita, A.; Pomp, A.; Cochez, M.; Meisen, T.; and Decker, S. Int. J. Artif. Intell. Tools, 28(6): 1960003:1-1960003:34. 2019.
Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces. [link]Link   Transferring Knowledge from Monitored to Unmonitored Areas for Forecasting Parking Spaces. [link]Paper   link   bibtex  
Linked Open Data Validity - A Technical Report from ISWS 2018. Ghor, T. A.; Agrawal, E.; Alam, M.; Alqawasmeh, O.; d'Amato , C.; Annane, A.; Azzam, A.; Berezovskyi, A.; Biswas, R.; Bonduel, M.; Brabant, Q.; Bucur, C.; Camossi, E.; Carriero, V. A.; Chari, S.; Chaves-Fraga, D.; Ciroku, F.; Cochez, M.; Curien, H.; Cutrona, V.; Dandan, R.; Dessì, D.; Carlo, V. D.; Djebri, A. E. A.; van Erp, M.; Falakh, F. M.; Izquierdo, A. F.; Futia, G.; Gangemi, A.; Gasperoni, S.; Grall, A.; Heling, L.; Henri, P.; Herradi, N.; Issa, S.; Jozashoori, S.; Juniarta, N.; Kaffee, L.; Keles, I.; Khare, P.; Kovtun, V.; Leone, V.; Li, S.; Lieber, S.; Lisena, P.; Makhalova, T.; Marinucci, L.; Minier, T.; Moreau, B.; Loustaunau, A. M.; Nandini, D.; Ozdowska, S.; de Moura, A. P.; Padhee, S.; Palma, G.; Jimnez, P. D. P.; Presutti, V.; Reda, R.; Rizza, E.; Rosales-mndez, H.; Rudolph, S.; Sack, H.; Sciullo, L.; Simanjuntak, H.; Stomeo, C.; Thanapalasingam, T.; Tietz, T.; Varanka, D.; Vidal, M.; Wolowyk, M.; and Zocholl, M. CoRR, abs/1903.12554. 2019.
Linked Open Data Validity - A Technical Report from ISWS 2018 [link]Paper   link   bibtex  
Message Passing for Complex Question Answering over Knowledge Graphs. Vakulenko, S.; Garcia, J. D. F.; Polleres, A.; de Rijke, M.; and Cochez, M. In Zhu, W.; Tao, D.; Cheng, X.; Cui, P.; Rundensteiner, E. A.; Carmel, D.; He, Q.; and Yu, J. X., editor(s), CIKM, pages 1431-1440, 2019. ACM
Message Passing for Complex Question Answering over Knowledge Graphs. [link]Link   Message Passing for Complex Question Answering over Knowledge Graphs. [link]Paper   link   bibtex  
Linked Open Data Validity - A Technical Report from ISWS 2018. Ghor, T. A.; Agrawal, E.; Alam, M.; Alqawasmeh, O.; d'Amato , C.; Annane, A.; Azzam, A.; Berezovskyi, A.; Biswas, R.; Bonduel, M.; Brabant, Q.; Bucur, C.; Camossi, E.; Carriero, V. A.; Chari, S.; Chaves-Fraga, D.; Ciroku, F.; Cochez, M.; Curien, H.; Cutrona, V.; Dandan, R.; Dessì, D.; Carlo, V. D.; Djebri, A. E. A.; van Erp, M.; Falakh, F. M.; Izquierdo, A. F.; Futia, G.; Gangemi, A.; Gasperoni, S.; Grall, A.; Heling, L.; Henri, P.; Herradi, N.; Issa, S.; Jozashoori, S.; Juniarta, N.; Kaffee, L.; Keles, I.; Khare, P.; Kovtun, V.; Leone, V.; Li, S.; Lieber, S.; Lisena, P.; Makhalova, T.; Marinucci, L.; Minier, T.; Moreau, B.; Loustaunau, A. M.; Nandini, D.; Ozdowska, S.; de Moura, A. P.; Padhee, S.; Palma, G.; Jimnez, P. D. P.; Presutti, V.; Reda, R.; Rizza, E.; Rosales mndez , H.; Rudolph, S.; Sack, H.; Sciullo, L.; Simanjuntak, H.; Stomeo, C.; Thanapalasingam, T.; Tietz, T.; Varanka, D.; Vidal, M.; Wolowyk, M.; and Zocholl, M. CoRR, abs/1903.12554. 2019.
Linked Open Data Validity - A Technical Report from ISWS 2018. [link]Link   Linked Open Data Validity - A Technical Report from ISWS 2018. [link]Paper   link   bibtex  
A Configurable Evaluation Framework for Node Embedding Techniques. Pellegrino, M. A.; Cochez, M.; Garofalo, M.; and Ristoski, P. In Hitzler, P.; Kirrane, S.; Hartig, O.; de Boer, V.; Vidal, M.; Maleshkova, M.; Schlobach, S.; Hammar, K.; Lasierra, N.; Stadtmüller, S.; Hose, K.; and Verborgh, R., editor(s), ESWC (Satellite Events), volume 11762, of Lecture Notes in Computer Science, pages 156-160, 2019. Springer
A Configurable Evaluation Framework for Node Embedding Techniques. [link]Link   A Configurable Evaluation Framework for Node Embedding Techniques. [link]Paper   link   bibtex  
Structured Query Construction via Knowledge Graph Embedding. Wang, R.; Wang, M.; Liu, J.; Cochez, M.; and Decker, S. CoRR, abs/1909.02930. 2019.
Structured Query Construction via Knowledge Graph Embedding. [link]Link   Structured Query Construction via Knowledge Graph Embedding. [link]Paper   link   bibtex  
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. Karim, M. R.; Cochez, M.; Beyan, O.; Decker, S.; and Lange, C. In BIBE, pages 415-422, 2019. IEEE
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. [link]Link   OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. [link]Paper   link   bibtex  
Privacy Attacks on Network Embeddings. Ellers, M.; Cochez, M.; Schumacher, T.; Strohmaier, M.; and Lemmerich, F. arXiv:1912.10979 [cs, stat]. 12 2019. arXiv: 1912.10979
Privacy Attacks on Network Embeddings [link]Paper   link   bibtex   abstract  
Privacy Attacks on Network Embeddings. Ellers, M.; Cochez, M.; Schumacher, T.; Strohmaier, M.; and Lemmerich, F. CoRR, abs/1912.10979. 2019.
Privacy Attacks on Network Embeddings. [link]Link   Privacy Attacks on Network Embeddings. [link]Paper   link   bibtex  
Message Passing for Complex Question Answering over Knowledge Graphs. Vakulenko, S.; Garcia, J. D. F.; Polleres, A.; de Rijke, M.; and Cochez, M. CoRR, abs/1908.06917. 2019.
Message Passing for Complex Question Answering over Knowledge Graphs. [link]Link   Message Passing for Complex Question Answering over Knowledge Graphs. [link]Paper   link   bibtex  
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. Ionita, A.; Pomp, A.; Cochez, M.; Meisen, T.; and Decker, S. CoRR, abs/1908.03629. 2019.
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. [link]Link   Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces. [link]Paper   link   bibtex  
Linked Open Data Validity - A Technical Report from ISWS 2018. Ghor, T. A.; Agrawal, E.; Alam, M.; Alqawasmeh, O.; d'Amato , C.; Annane, A.; Azzam, A.; Berezovskyi, A.; Biswas, R.; Bonduel, M.; Brabant, Q.; iulia Bucur, C.; Camossi, E.; Carriero, V. A.; Chari, S.; Chaves-Fraga, D.; Ciroku, F.; Cochez, M.; Curien, H.; Cutrona, V.; Dandan, R.; Dess, D.; Carlo, V. D.; Djebri, A. E. A.; van Erp, M.; Falakh, F. M.; Izquierdo, A. F.; Futia, G.; Gangemi, A.; Gasperoni, S.; Grall, A.; Heling, L.; Henri, P.; Herradi, N.; Issa, S.; Jozashoori, S.; Juniarta, N.; Kaffee, L.; Keles, I.; Khare, P.; Kovtun, V.; Leone, V.; Li, S.; Lieber, S.; Lisena, P.; Makhalova, T.; Marinucci, L.; Minier, T.; Moreau, B.; Loustaunau, A. M.; Nandini, D.; Ozdowska, S.; de Moura, A. P.; Padhee, S.; Palma, G.; Jimnez, P. D. P.; Presutti, V.; Reda, R.; Rizza, E.; Rosales mndez , H.; Rudolph, S.; Sack, H.; Sciullo, L.; Simanjuntak, H.; Stomeo, C.; Thanapalasingam, T.; Tietz, T.; Varanka, D.; Vidal, M.; Wolowyk, M.; and Zocholl, M. CoRR, abs/1903.12554. 2019.
Linked Open Data Validity - A Technical Report from ISWS 2018. [link]Link   Linked Open Data Validity - A Technical Report from ISWS 2018. [link]Paper   link   bibtex  
  2018 (12)
Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. Karim, M. R.; Cochez, M.; Beyan, O.; Zappa, A.; Sahay, R.; Decker, S.; and Rebholz-Schuhmann, D. CoRR, abs/1805.12218. 2018.
Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. [link]Link   Recurrent Deep Embedding Networks for Genotype Clustering and Ethnicity Prediction. [link]Paper   link   bibtex  
A First Experiment on Including Text Literals in KGloVe. Cochez, M.; Garofalo, M.; Lenßen, J.; and Pellegrino, M. A. In Choi, K.; Anke, L. E.; Declerck, T.; Gromann, D.; Kim, J.; Ngomo, A. N.; Saleem, M.; and Usbeck, R., editor(s), Semdeep/NLIWoD@ISWC, volume 2241, of CEUR Workshop Proceedings, pages 103-106, 2018. CEUR-WS.org
A First Experiment on Including Text Literals in KGloVe. [pdf]Link   A First Experiment on Including Text Literals in KGloVe. [link]Paper   link   bibtex  
Measuring Semantic Coherence of a Conversation. Vakulenko, S.; de Rijke, M.; Cochez, M.; Savenkov, V.; and Polleres, A. In Vrandecic, D.; Bontcheva, K.; Suárez-Figueroa, M. C.; Presutti, V.; Celino, I.; Sabou, M.; Kaffee, L.; and Simperl, E., editor(s), ISWC (1), volume 11136, of Lecture Notes in Computer Science, pages 634-651, 2018. Springer
Measuring Semantic Coherence of a Conversation. [link]Link   Measuring Semantic Coherence of a Conversation. [link]Paper   link   bibtex  
Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas. Ionita, A.; Pomp, A.; Cochez, M.; Meisen, T.; and Decker, S. In Akerkar, R.; Ivanovic, M.; Kim, S.; Manolopoulos, Y.; Rosati, R.; Savic, M.; Badica, C.; and Radovanovic, M., editor(s), WIMS, pages 22:1-22:12, 2018. ACM
Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas. [link]Link   Where to Park?: Predicting Free Parking Spots in Unmonitored City Areas. [link]Paper   link   bibtex  
Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach. Karim, M. R.; Cochez, M.; Beyan, O. D.; Ahmed, C. F.; and Decker, S. Inf. Sci., 432: 278-300. 2018.
Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach. [link]Link   Mining maximal frequent patterns in transactional databases and dynamic data streams: A spark-based approach. [link]Paper   link   bibtex  
Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies 2018 (DL4KGS), co-located with the 15th Extended Semantic Web Conference (ESWC 2018). Cochez, M.; Declerck, T.; de Melo, G.; Anke, L. E.; Fetahu, B.; Gromann, D.; Kejriwal, M.; Koutraki, M.; Lecue, F.; Palumbo, E.; and Sack, H. 2018.
Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies 2018 (DL4KGS), co-located with the 15th Extended Semantic Web Conference (ESWC 2018) [link]Paper   link   bibtex  
Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies 2018 (DL4KGS). Cochez, M.; Declerck, T.; de Melo, G.; Anke, L. E.; Fetahu, B.; Gromann, D.; Kejriwal; Koutraki, M.; Lecue, F.; Palumbo, E.; and Sack, H. Volume 2106.CEUR workshop proceedings. 06 2018.
link   bibtex  
BigNet 2018 Chairs' Welcome & Organization. Tang, J.; Vazirgiannis, M.; Dong, Y.; Malliaros, F. D.; Cochez, M.; Kejriwal, M.; and Rettinger, A. In Champin, P.; Gandon, F.; Lalmas, M.; and Ipeirotis, P. G., editor(s), WWW (Companion Volume), pages 943-944, 2018. ACM
BigNet 2018 Chairs' Welcome & Organization. [link]Link   BigNet 2018 Chairs' Welcome & Organization. [link]Paper   link   bibtex  
Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases. Garofalo, M.; Pellegrino, M. A.; Altabba, A.; and Cochez, M. CoRR, abs/1808.00434. 2018.
Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases. [link]Link   Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases. [link]Paper   link   bibtex  
On the computation of Shannon Entropy from Counting Bloom Filters. Cochez, M. CoRR, abs/1802.06609. 2018.
On the computation of Shannon Entropy from Counting Bloom Filters. [link]Link   On the computation of Shannon Entropy from Counting Bloom Filters. [link]Paper   link   bibtex  
Measuring Semantic Coherence of a Conversation. Vakulenko, S.; de Rijke, M.; Cochez, M.; Savenkov, V.; and Polleres, A. CoRR, abs/1806.06411. 2018.
Measuring Semantic Coherence of a Conversation. [link]Link   Measuring Semantic Coherence of a Conversation. [link]Paper   link   bibtex  
A First Experiment on Including Text Literals in KGloVe. Cochez, M.; Garofalo, M.; Lenßen, J.; and Pellegrino, M. A. CoRR, abs/1807.11761. 2018.
A First Experiment on Including Text Literals in KGloVe. [link]Link   A First Experiment on Including Text Literals in KGloVe. [link]Paper   link   bibtex  
  2017 (5)
Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues. Karim, M. R.; Heinrichs, M.; Gleim, L. C.; Cochez, M.; Porter, E.; Gioia, A. L.; Salahuddin, S.; Decker, S.; O'Halloran, M.; and Beyan, O. In Paschke, A.; Burger, A.; Splendiani, A.; Marshall, M. S.; Romano, P.; and Presutti, V., editor(s), SWAT4LS, volume 2042, of CEUR Workshop Proceedings, 2017. CEUR-WS.org
Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues. [pdf]Link   Towards a FAIR Sharing of Scientific Experiments: Improving Discoverability and Reusability of Dielectric Measurements of Biological Tissues. [link]Paper   link   bibtex  
The Future of the Semantic Web: Prototypes on a Global Distributed Filesystem. Cochez, M.; Hüser, D.; and Decker, S. In Lee, K.; and Liu, L., editor(s), ICDCS, pages 1997-2006, 2017. IEEE Computer Society
The Future of the Semantic Web: Prototypes on a Global Distributed Filesystem. [link]Link   The Future of the Semantic Web: Prototypes on a Global Distributed Filesystem. [link]Paper   link   bibtex  
Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest. Cochez, M.; Terziyan, V. Y.; and Ermolayev, V. Trans. Comput. Collect. Intell., 26: 46-66. 2017.
Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest. [link]Link   Large Scale Knowledge Matching with Balanced Efficiency-Effectiveness Using LSH Forest. [link]Paper   link   bibtex  
Global RDF Vector Space Embeddings. Cochez, M.; Ristoski, P.; Ponzetto, S. P.; and Paulheim, H. In d'Amato , C.; Fernández, M.; Tamma, V. A. M.; Lécué, F.; Cudré-Mauroux, P.; Sequeda, J. F.; Lange, C.; and Heflin, J., editor(s), ISWC (1), volume 10587, of Lecture Notes in Computer Science, pages 190-207, 2017. Springer
Global RDF Vector Space Embeddings. [link]Link   Global RDF Vector Space Embeddings. [link]Paper   link   bibtex  
Biased graph walks for RDF graph embeddings. Cochez, M.; Ristoski, P.; Ponzetto, S. P.; and Paulheim, H. In Akerkar, R.; Cuzzocrea, A.; Cao, J.; and Hacid, M., editor(s), WIMS, pages 21:1-21:12, 2017. ACM
Biased graph walks for RDF graph embeddings. [link]Link   Biased graph walks for RDF graph embeddings. [link]Paper   link   bibtex  
  2016 (4)
Using Distributional Semantics for Automatic Taxonomy Induction. Zafar, B.; Cochez, M.; and Qamar, U. In FIT, pages 348-353, 2016. IEEE Computer Society
Using Distributional Semantics for Automatic Taxonomy Induction. [link]Link   Using Distributional Semantics for Automatic Taxonomy Induction. [link]Paper   link   bibtex  
TB-Structure: Collective Intelligence for Exploratory Keyword Search. Terziyan, V. Y.; Golovianko, M.; and Cochez, M. In Calì, A.; Gorgan, D.; and Ugarte, M., editor(s), International KEYSTONE Conference, volume 10151, of Lecture Notes in Computer Science, pages 171-178, 2016.
TB-Structure: Collective Intelligence for Exploratory Keyword Search. [link]Link   TB-Structure: Collective Intelligence for Exploratory Keyword Search. [link]Paper   link   bibtex  
Knowledge Representation on the Web Revisited: The Case for Prototypes. Cochez, M.; Decker, S.; and Prud'hommeaux, E. In Groth, P.; Simperl, E.; Gray, A. J. G.; Sabou, M.; Krötzsch, M.; Lécué, F.; Flöck, F.; and Gil, Y., editor(s), ISWC (1), volume 9981, of Lecture Notes in Computer Science, pages 151-166, 2016.
Knowledge Representation on the Web Revisited: The Case for Prototypes. [link]Link   Knowledge Representation on the Web Revisited: The Case for Prototypes. [link]Paper   link   bibtex  
Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies. Cochez, M.; Decker, S.; and Prud'hommeaux, E. CoRR, abs/1607.04809. 2016.
Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies. [link]Link   Knowledge Representation on the Web revisited: Tools for Prototype Based Ontologies. [link]Paper   link   bibtex  
  2015 (4)
Scalable Hierarchical Clustering: Twister Tries with a Posteriori Trie Elimination. Cochez, M.; and Neri, F. In SSCI, pages 756-763, 2015. IEEE
Scalable Hierarchical Clustering: Twister Tries with a Posteriori Trie Elimination. [link]Link   Scalable Hierarchical Clustering: Twister Tries with a Posteriori Trie Elimination. [link]Paper   link   bibtex  
Balanced Large Scale Knowledge Matching Using LSH Forest. Cochez, M.; Terziyan, V. Y.; and Ermolayev, V. In Cardoso, J.; Guerra, F.; Houben, G.; Pinto, A. M.; and Velegrakis, Y., editor(s), International KEYSTONE Conference, volume 9398, of Lecture Notes in Computer Science, pages 36-50, 2015. Springer
Balanced Large Scale Knowledge Matching Using LSH Forest. [link]Link   Balanced Large Scale Knowledge Matching Using LSH Forest. [link]Paper   link   bibtex  
Twister Tries: Approximate Hierarchical Agglomerative Clustering for Average Distance in Linear Time. Cochez, M.; and Mou, H. In Sellis, T. K.; Davidson, S. B.; and Ives, Z. G., editor(s), SIGMOD Conference, pages 505-517, 2015. ACM
Twister Tries: Approximate Hierarchical Agglomerative Clustering for Average Distance in Linear Time. [link]Link   Twister Tries: Approximate Hierarchical Agglomerative Clustering for Average Distance in Linear Time. [link]Paper   link   bibtex  
Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks. Chernov, S.; Cochez, M.; and Ristaniemi, T. In VTC Spring, pages 1-5, 2015. IEEE
Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks. [link]Link   Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks. [link]Paper   link   bibtex  
  2014 (2)
Locality-Sensitive Hashing for Massive String-Based Ontology Matching. Cochez, M. In WI-IAT (2), pages 134-140, 2014. IEEE Computer Society 978-1-4799-4143-8
Locality-Sensitive Hashing for Massive String-Based Ontology Matching. [link]Link   Locality-Sensitive Hashing for Massive String-Based Ontology Matching. [link]Paper   link   bibtex  
Challenges and Confusions in Learning Version Control with Git. Isomöttönen, V.; and Cochez, M. In Ermolayev, V.; Mayr, H. C.; Nikitchenko, M. S.; Spivakovsky, A.; and Zholtkevych, G., editor(s), ICTERI, volume 469, of Communications in Computer and Information Science, pages 178-193, 2014. Springer
Challenges and Confusions in Learning Version Control with Git. [link]Link   Challenges and Confusions in Learning Version Control with Git. [link]Paper   link   bibtex  
  2013 (7)
The Use of Distributed Version Control Systems in Advanced Programming Courses. Cochez, M.; Isomöttönen, V.; Tirronen, V.; and Itkonen, J. In Ermolayev, V.; Mayr, H. C.; Nikitchenko, M. S.; Spivakovsky, A.; Zholtkevych, G.; Zavileysky, M.; Kravtsov, H.; Kobets, V.; and Peschanenko, V. S., editor(s), ICTERI, volume 1000, of CEUR Workshop Proceedings, pages 221-235, 2013. CEUR-WS.org
The Use of Distributed Version Control Systems in Advanced Programming Courses. [pdf]Link   The Use of Distributed Version Control Systems in Advanced Programming Courses. [link]Paper   link   bibtex  
How Do Computer Science Students Use Distributed Version Control Systems?. Cochez, M.; Isomöttönen, V.; Tirronen, V.; and Itkonen, J. In Ermolayev, V.; Mayr, H. C.; Nikitchenko, M. S.; Spivakovsky, A.; and Zholtkevych, G., editor(s), ICTERI (Revised Selected Papers), volume 412, of Communications in Computer and Information Science, pages 210-228, 2013. Springer
How Do Computer Science Students Use Distributed Version Control Systems? [link]Link   How Do Computer Science Students Use Distributed Version Control Systems? [link]Paper   link   bibtex  
Issues with a course that emphasizes self-direction. Isomöttönen, V.; Tirronen, V.; and Cochez, M. In Carter, J.; Utting, I.; and Clear, A., editor(s), ITiCSE, pages 111-116, 2013. ACM
Issues with a course that emphasizes self-direction. [link]Link   Issues with a course that emphasizes self-direction. [link]Paper   link   bibtex  
The Use of Distributed Version Control Systems in Advanced Programming Courses. Cochez, M.; Isomöttönen, V.; Tirronen, V.; and Itkonen, J. In Proceedings of the 9th International Conference on ICT in Education, Research and Industrial Applications: Integration, Harmonization and Knowledge Transfer, volume 1000, pages 221–235, 2013. CEUR
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. Cochez, M.; Isomöttönen, V.; Tirronen, V.; and Itkonen, J. How Do Computer Science Students Use Distributed Version Control Systems?, pages 210–228. Springer, 2013.
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Issues with a Course that Emphasizes Self-direction. Isomöttönen, V.; Tirronen, V.; and Cochez, M. In Proceedings of the 18th ACM conference on Innovation and technology in computer science education, of ITiCSE '13, pages 111–116, New York, NY, 2013. ACM
Issues with a Course that Emphasizes Self-direction [link]Paper   doi   link   bibtex   abstract  
Issues with a Course That Emphasizes Self-Direction, submitted. Isomöttönen, V.; Tirronen, V.; and Cochez, M. In 2013.
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  2012 (2)
Quality of an Ontology as a Dynamic Optimisation Problem. Cochez, M.; and Terziyan, V. Y. In Ermolayev, V.; Mayr, H. C.; Nikitchenko, M. S.; Spivakovsky, A.; Zholtkevych, G.; Zavileysky, M.; and Kobets, V., editor(s), ICTERI, volume 848, of CEUR Workshop Proceedings, pages 249-256, 2012. CEUR-WS.org
Quality of an Ontology as a Dynamic Optimisation Problem. [pdf]Link   Quality of an Ontology as a Dynamic Optimisation Problem. [link]Paper   link   bibtex  
Quality of an Ontology as a Dynamic Optimisation Problem. Cochez, M.; and Terziyan, V. ICT in Education, Research and Industrial Applications: Integration, Harmonization and Knowledge Transfer,249. 2012.
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  2010 (1)
A Posteriori Error Estimators Based on Equilibrated Fluxes. Cochez-Dhondt, S.; and Nicaise, S. Comput. Meth. in Appl. Math., 10(1): 49-68. 2010.
A Posteriori Error Estimators Based on Equilibrated Fluxes. [link]Link   A Posteriori Error Estimators Based on Equilibrated Fluxes. [link]Paper   link   bibtex  
  1943 (1)
Palaeographisch album van gedagteckende Grieksche minuskelhandschriften uit de IXe en Xe eeuw. Met enkele specimina van handschriften uit de XIe - XVIe eeuw. Lefort, L.; and Cochez, J. of Philologische studien̈ : AlbumreeksStudiën, Leuven, 1943.
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