Former Research Assistant
Chair of Machine Learning and Data Engineering (Prof. Gieseke)
Leonardo Campus 3
48149
Münster
ShortURL:

Leonardo Campus 3
48149
Münster
Lima, M., Denis, M. L., Christian;, G., & Fabian, (2023). End-to-End Neural Network Training for Hyperbox-Based Classification. In Proceedings of the 31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Brügge. (accepted / in press (not yet published))
More details BibTeX Full text
Lülf, C., Lima Martins, D. M., Vaz, S. M. A., Zhou, Y., & Gieseke, F. (2023). Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests. In VLDB, E. (Ed.), Proceedings of the VLDB Endowment (11, pp. 2845–2857). Vancouver: ACM Press.
More details BibTeX Full text DOI
Lülf, C., Lima Martins, D. M., Vaz, S. M. A., Zhou, Y., & Gieseke, F. (2023). RapidEarth: A Search Engine for Large-Scale Geospatial Imagery. In Proceedings of the ACM SIGSPATIAL 2023, Hamburg. (accepted / in press (not yet published))
More details BibTeX Full text
Martins, D. M. L., & Vossen, G. (2023). Self-Organizing Maps for Data Purchase Support in Data Marketplaces. In Ngoc, T. N., János, B., László, G., Manuel, N., Jan, T., Gottfried, V., & Adrianna, K. (Eds.), Computational Collective Intelligence (pp. 43–55). Lecture Notes in Computer Science: Vol. 14162. Heidelberg: Springer International Publishing.
More details BibTeX DOI
Carvalho, T., Martins, D., Lima, N. F., & Vossen, G. (2022). Recommending View Bundles in Data Marketplaces. In IEEE, (Ed.), IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022, Prague, Czech Republic, October 9-12, 2022 (pp. 3403–3408). Prague, Czech Republic: IEEE.
More details BibTeX Full text DOI
Czarnowski, I., & Martins, D. (2022). Impact of Clustering on a Synthetic Instance Generation in Imbalanced Data Streams Classification. In Groen, D., Mulatier, C., Paszynski, M., Krzhizhanovskaya, V., Dongarra, J., & Sloot, P. (Eds.), Computational Science — {ICCS} 2022 — 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part {II} (pp. 586–597). Lecture Notes in Computer Science: Vol. 13351. Cham: Springer.
More details BibTeX Full text DOI
Souza, A. J., Martins, D., & Lima, N. F. (2022). Evolving Interpretable Classification Models via Readability-Enhanced Genetic Programming. In Ishibuchi, H., Kwoh, C.-K., Tan, A.-H., Srinivasan, D., Miao, C., Trivedi, A., & Crockett, K. (Eds.), Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence (SSCI 2022), 4 — 7 December 2022, Singapore (pp. 1691–1697). Singapur: IEEE.
More details BibTeX DOI
Carvalho, T., Martins, D., & Lima, N. F. (2021). MapView: Exploring Datasets via Unsupervised View Recommendation. In unknown, u., & , (Eds.), {IEEE} Latin American Conference on Computational Intelligence, {LA-CCI} 2021, Temuco, Chile, November 2-4, 2021 (pp. 1–6). Temuco, Chile: IEEE.
More details BibTeX Full text DOI
Silva, R. E., Martins, D., & Lima, N. F. (2021). Automatic Feature Engineering Using Self-Organizing Maps. In Unknown, U., & , (Eds.), {IEEE} Latin American Conference on Computational Intelligence, {LA-CCI} 2021, Temuco, Chile, November 2-4, 2021 (pp. 1–6). Temuco, Chile: IEEE.
More details BibTeX Full text DOI
Silva, R. E., Martins, D., & Lima, N. F. (2021). Self-Organizing Transformations for Automatic Feature Engineering. In unknown, u., & , (Eds.), 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1–7). Orlando: IEEE.
More details BibTeX Full text DOI
Maleszka, M., Maleszka, B., Krol, D., Hernes, M., Martins, D., Homann, L., & Vossen, G. (2020). A Modular Diversity Based Reviewer Recommendation System. In Paweł, S., Marcin, P., Marek, K., & Chutimet, S. (Eds.), Intelligent Information and Database Systems (pp. 550–561). Communications in Computer and Information Science (CCIS): Vol. 1178. Heidelberg: Springer.
More details BibTeX Full text DOI
Homann, L., Martins, D., Vossen, G., & Kraume, K. (2019). Enhancing Traditional Recommender Systems via Social Communities. Vietnam Journal of Computer Science, 6(1), 3–16.
More details BibTeX DOI
Homann, L., Martins, D., Vossen, G., & Kraume, K. (2019). Enhancing Traditional Recommender Systems via Social Communities. Vietnam Journal of Computer Science, 6(1), 3–16.
More details BibTeX
Martins, D. (2019). Reverse engineering database queries from examples: State-of-the-art, challenges, and research opportunities. Information Systems, 83, 89–100.
More details BibTeX Full text DOI
Martins, D. (2019). Enabling non-technical users to query and purchase data. at the University of Mü}nster, Germany. Münster.
More details BibTeX Full text
Lima, M., Denis, M. L., Jens;, V., & Gottfried, (2019). Supporting Customers with Limited Budget in Data Marketplaces.
More details DOI
Homann, L., Maleszka, B., Martins, D., & Vossen, G. (2018). A Generic Framework for Collaborative Filtering Based on Social Collective Recommendation. In Ngoc, T. N., Elias, P., Zaheer, K., & Bogdan, T. (Eds.), Computational Collective Intelligence (pp. 238–247). Lecture Notes in Computer Science: Vol. 11055. Heidelberg: Springer International Publishing.
More details BibTeX
Homann, L., Maleszka, B., Martins, D., & Vossen, G. (2018). A Generic Framework for Collaborative Filtering Based on Social Collective Recommendation. In Proceedings of the 10th International Conference (ICCCI) 2018, Bristol, UK, 238–247.
More details BibTeX DOI
Kr{ó}}tkiewicz, M., Wojtkiewicz, K., & Martins, D. (2018). Influence Power Factor for User Interface Recommendation System. In Proceedings of the International Conference on Computational Collective Intelligence, Bristol, UK, 228–237.
More details BibTeX DOI
Martins, D., Vossen, G., & Lima, N. F. (2018). Discovering {SQL} Queries from Examples using Intelligent Algorithms. In Proceedings of the 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), Gudalajara, Mexico, 1–6.
More details BibTeX DOI
Martins, D., Vossen, G., & Maleszka, M. (2018). Supporting Online Data Purchase by Preference Recommendation. In Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan.
More details BibTeX DOI
Buarque, d. L. N., Fernando;, M., Denis;, V., & Gottfried, (2018). A Semiotic-Inspired Machine for Personalized Multi-Criteria Intelligent Decision Support. Data & Knowledge Engineering, 117, 225–238.
More details BibTeX
Kasper, G., Diego, d. S. B., & Denis, M. L. M. a. B. H. (2017). User Profile Acquisition: A Comprehensive Framework to Support Personal Information Agents. In Proceedings of the Latin America Conference on Computational Intelligence (LA-CCI 2017), Arequipa, Peru.
More details BibTeX DOI
Martins, D., Buarque, d. L. N. F., & Vossen, G. (2017). Learning Database Queries via Intelligent Semiotic Machines. In Proceedings of the 4th IEEE Latin American Conference on Computational Intelligence (LA-CCI), Arequipa, Peru.
More details BibTeX DOI
Martins, D., Vossen, G., & Buarque, d. L. N. F. (2017). Intelligent Decision Support for Data Purchase. In Proceedings of the 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI), Leipzig, Germany, 396–402.
More details BibTeX DOI
Martins, D., & Lima, N. F. (2017). Hybrid Intelligent Decision Support Using a Semiotic Case-Based Reasoning and Self-Organizing Maps. IEEE Transactions on Systems, Man, and Cybernetics: Systems, PP(99), 1–8.
More details BibTeX DOI