Hybrid Subjective Decision Support System based on Computational Semiotics and Computational Intelligence Techniques. - Denis Martins 001; Fernando Buarque de Lima Neto (Res. Comput. Sci., 2014)

User profile acquisition: A comprehensive framework to support personal information agents. - Gerrit Kasper; Diego de Siqueira Braga; Denis Mayr Lima Martins; Bernd Hellingrath (LA-CCI, 2017)

Learning database queries via intelligent semiotic machines. - Denis Mayr Lima Martins; Gottfried Vossen; Fernando Buarque de Lima Neto (LA-CCI, 2017)

Intelligent decision support for data purchase. - Denis Mayr Lima Martins; Gottfried Vossen; Fernando Buarque de Lima Neto (WI, 2017)

A Generic Framework for Collaborative Filtering Based on Social Collective Recommendation. - Leschek Homann; Bernadetta Maleszka; Denis Mayr Lima Martins; Gottfried Vossen (ICCCI (1), 2018)

Influence Power Factor for User Interface Recommendation System. - Marek Krótkiewicz; Krystian Wojtkiewicz; Denis Martins 001 (ICCCI (1), 2018)

Discovering SQL Queries from Examples using Intelligent Algorithms. - Denis Mayr Lima Martins; Gottfried Vossen; Fernando Buarque de Lima Neto (LA-CCI, 2018)

Supporting Online Data Purchase by Preference Recommendation. - Denis Mayr Lima Martins; Gottfried Vossen; Marcin Maleszka (SMC, 2018)

A semiotic-inspired machine for personalized multi-criteria intelligent decision support. - Fernando Buarque de Lima Neto; Denis Mayr Lima Martins; Gottfried Vossen (Data Knowl. Eng., 2018)

Supporting Customers with Limited Budget in Data Marketplaces. - Denis Mayr Lima Martins; Jens Lechtenbörger; Gottfried Vossen (LA-CCI, 2019)

Reverse engineering database queries from examples: State-of-the-art, challenges, and research opportunities. - Denis Mayr Lima Martins (Inf. Syst., 2019)

Enhancing Traditional Recommender Systems via Social Communities. - Leschek Homann; Denis Mayr Lima Martins; Gottfried Vossen; Karsten Kraume (Vietnam. J. Comput. Sci., 2019)

Enabling non-technical users to query and purchase data. - Denis Mayr Lima Martins (2019)

A Modular Diversity Based Reviewer Recommendation System. - Marcin Maleszka; Bernadetta Maleszka; Dariusz Król 001; Marcin Hernes; Denis Mayr Lima Martins; Leschek Homann; Gottfried Vossen (ACIIDS (Companion), 2020)

Hybrid Intelligent Decision Support Using a Semiotic Case-Based Reasoning and Self-Organizing Maps. - Denis Mayr Lima Martins; Fernando Buarque de Lima Neto (IEEE Trans. Syst. Man Cybern. Syst., 2020)

MapView: Exploring Datasets via Unsupervised View Recommendation. - Thiego Buenos Aires de Carvalho; Denis Mayr Lima Martins; Fernando Buarque de Lima Neto (LA-CCI, 2021)

Automatic Feature Engineering Using Self-Organizing Maps. - Ericks da Silva Rodrigues; Denis Mayr Lima Martins; Fernando Buarque de Lima Neto (LA-CCI, 2021)

Self-Organizing Transformations for Automatic Feature Engineering. - Ericks da Silva Rodrigues; Denis Mayr Lima Martins; Fernando Buarque de Lima Neto (SSCI, 2021)

Impact of Clustering on a Synthetic Instance Generation in Imbalanced Data Streams Classification. - Ireneusz Czarnowski; Denis Mayr Lima Martins (ICCS (1), 2022)

Recommending View Bundles in Data Marketplaces. - Thiego Buenos Aires de Carvalho; Denis Mayr Lima Martins; Fernando B. Lima Neto; Gottfried Vossen (SMC, 2022)

Evolving Interpretable Classification Models via Readability-Enhanced Genetic Programming. - João Victor T. De Souza Abreu; Denis Mayr Lima Martins; Fernando Buarque de Lima Neto (SSCI, 2022)

End-to-End Neural Network Training for Hyperbox-Based Classification. - Denis Martins 001; Christian Lülf; Fabian Gieseke (ESANN, 2023)

RapidEarth: A Search-by-Classification Engine for Large-Scale Geospatial Imagery. - Christian Lülf; Denis Mayr Lima Martins; Marcos Antonio Vaz Salles; Yongluan Zhou; Fabian Gieseke (SIGSPATIAL/GIS, 2023)

Self-Organizing Maps for Data Purchase Support in Data Marketplaces. - Denis Mayr Lima Martins; Gottfried Vossen (ICCCI, 2023)

Human-in-the-Loop Evolution of Database Views for Data Exploration. - Thiego Buenos Aires de Carvalho; Denis Mayr Lima Martins; Fernando Buarque de Lima Neto (LA-CCI, 2023)

Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests. - Christian Lülf; Denis Mayr Lima Martins; Marcos Antonio Vaz Salles; Yongluan Zhou; Fabian Gieseke (Proc. VLDB Endow., 2023)

CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval. - Christian Lülf; Denis Mayr Lima Martins; Marcos Antonio Vaz Salles; Yongluan Zhou; Fabian Gieseke (SIGIR, 2024)

CLIP-Branches: Interactive Fine-Tuning for Text-Image Retrieval. - Christian Lülf; Denis Mayr Lima Martins; Marcos Antonio Vaz Salles; Yongluan Zhou; Fabian Gieseke (CoRR, 2024)

Training neural networks end-to-end for hyperbox-based classification. - Denis Mayr Lima Martins; Christian Lülf; Fabian Gieseke (Neurocomputing, 2024)