| 2026 | AIME | Contextualized Interpretation of Machine-Learning Predictions in Rare Disease Omics: Integrating SHAP, Biomedical Knowledge, and Language Models. | Daniel Daza, Yorrick Jaspers, Alberto Bernardi, Luca Costabello, Christophe Guret, Michael Cochez, Marc Engelen, Stephan Kemp, Martijn Schut |
| 2025 | DATE | Bias by Design: Diversity Quantification to Mitigate Structural Bias Effects in AIG Logic Optimization. | Isabella Venancia Gardner, Marcel Walter, Yukio Miyasaka, Robert Wille, Michael Cochez |
| 2025 | NeSy | The ART of Link Prediction with KGEs. | Yannick Brunink, Michael Cochez, Jacopo Urbani |
| 2025 | NeSy | Do Graph Neural Network States Contain Graph Properties? | Tom Pelletreau-Duris, Ruud van Bakel, Michael Cochez |
| 2024 | ICLR | Back to the Future: predicting causal relationships influencing oil prices. | Joze M. Rozanec, Beno Sircelj, Michael Cochez, Gregor Leban |
| 2024 | KDD | Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). | Mehwish Alam, Davide Buscaldi, Michael Cochez, Genet Asefa Gesese, Francesco Osborne, Diego Reforgiato Recupero |
| 2023 | AAAI | A Machine with Short-Term, Episodic, and Semantic Memory Systems. | Taewoon Kim, Michael Cochez, Vincent Franois-Lavet, Mark A. Neerincx, Piek Vossen |
| 2023 | CIKM | Reasoning beyond Triples: Recent Advances in Knowledge Graph Embeddings. | Bo Xiong, Mojtaba Nayyeri, Daniel Daza, Michael Cochez |
| 2023 | COMPSAC | The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. | Martin Molan, Junaid Ahmed Khan, Andrea Bartolini, Roberta Turra, Giorgio Pedrazzi, Michael Cochez, Alexandru Iosup, Dumitru Roman, Joze M. Rozanec, Ana Lucia Varbanescu, Radu Prodan |
| 2022 | ICLR | Query Embedding on Hyper-Relational Knowledge Graphs. | Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin |
| 2022 | IJCAI | Complex Query Answering with Neural Link Predictors (Extended Abstract). | Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez |
| 2022 | KSEM | Scientific Item Recommendation Using a Citation Network. | Xu Wang, Frank van Harmelen, Michael Cochez, Zhisheng Huang |
| 2022 | WWW | Scaling R-GCN Training with Graph Summarization. | Alessandro Generale, Till Blume, Michael Cochez |
| 2021 | ADBIS | Unsupervised Feature Selection for Efficient Exploration of High Dimensional Data. | Arnab Chakrabarti, Abhijeet Das, Michael Cochez, Christoph Quix |
| 2021 | ICLR | Complex Query Answering with Neural Link Predictors. | Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez |
| 2021 | WWW | Inductive Entity Representations from Text via Link Prediction. | Daniel Daza, Michael Cochez, Paul Groth |
| 2020 | DSAA | Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network. | Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae, Michael Cochez |
| 2019 | BIBE | OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data. | Md. Rezaul Karim, Michael Cochez, Oya Beyan, Stefan Decker, Christoph Lange |
| 2019 | CIKM | Message Passing for Complex Question Answering over Knowledge Graphs. | Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez |
| 2019 | DASFAA | Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. | Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker |
| 2018 | WWW | BigNet 2018 Chairs' Welcome & Organization. | Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger |
| 2017 | ICDCS | The Future of the Semantic Web: Prototypes on a Global Distributed Filesystem. | Michael Cochez, Dominik Hser, Stefan Decker |
| 2016 | FIT | Using Distributional Semantics for Automatic Taxonomy Induction. | Bushra Zafar, Michael Cochez, Usman Qamar |
| 2015 | VTC | Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks. | Sergey Chernov, Michael Cochez, Tapani Ristaniemi |
| 2015 | SIGMOD | Twister Tries: Approximate Hierarchical Agglomerative Clustering for Average Distance in Linear Time. | Michael Cochez, Hao Mou |
| 2014 | ICTERI | Challenges and Confusions in Learning Version Control with Git. | Ville Isomttnen, Michael Cochez |
| 2013 | ICTERI | The Use of Distributed Version Control Systems in Advanced Programming Courses. | Michael Cochez, Ville Isomttnen, Ville Tirronen, Jonne Itkonen |
| 2013 | ICTERI | How Do Computer Science Students Use Distributed Version Control Systems? | Michael Cochez, Ville Isomttnen, Ville Tirronen, Jonne Itkonen |
| 2013 | ITiCSE | Issues with a course that emphasizes self-direction. | Ville Isomttnen, Ville Tirronen, Michael Cochez |
| 2012 | ICTERI | Quality of an Ontology as a Dynamic Optimisation Problem. | Michael Cochez, Vagan Y. Terziyan |