Towards Intelligent Data Analysis: The Metadata Challenge. - Besim Bilalli; Alberto Abelló; Tomàs Aluja-Banet; Robert Wrembel (IoTBD, 2016)

Automated Data Pre-processing via Meta-learning. - Besim Bilalli; Alberto Abelló; Tomàs Aluja-Banet; Robert Wrembel (MEDI, 2016)

ResilientStore: A Heuristic-Based Data Format Selector for Intermediate Results. - Rana Faisal Munir; Oscar Romero 001; Alberto Abelló; Besim Bilalli; Maik Thiele; Wolfgang Lehner (MEDI, 2016)

On the predictive power of meta-features in OpenML. - Besim Bilalli; Alberto Abelló; Tomàs Aluja-Banet (Int. J. Appl. Math. Comput. Sci., 2017)

PRESISTANT: Data Pre-processing Assistant. - Besim Bilalli; Alberto Abelló; Tomàs Aluja-Banet; Rana Faisal Munir; Robert Wrembel (CAiSE Forum, 2018)

Intelligent assistance for data pre-processing. - Besim Bilalli; Alberto Abelló; Tomàs Aluja-Banet; Robert Wrembel (Comput. Stand. Interfaces, 2018)

Learning the impact of data pre-processing in data analysis. - Besim Bilalli (2018)

PRESISTANT: Learning based assistant for data pre-processing. - Besim Bilalli; Alberto Abelló; Tomàs Aluja-Banet; Robert Wrembel (Data Knowl. Eng., 2019)

Effective data pre-processing for AutoML. - Joseph Giovanelli; Besim Bilalli; Alberto Abelló (DOLAP, 2021)

Quarry: A User-centered Big Data Integration Platform. - Petar Jovanovic 001; Sergi Nadal; Oscar Romero 001; Alberto Abelló; Besim Bilalli (Inf. Syst. Frontiers, 2021)

A framework for assessing the peer review duration of journals: case study in computer science. - Besim Bilalli; Rana Faisal Munir; Alberto Abelló (Scientometrics, 2021)

Impact of Filter Feature Selection on Classification: An Empirical Study. - Uchechukwu Njoku; Alberto Abelló; Besim Bilalli; Gianluca Bontempi (DOLAP, 2022)

Learning fishing information from AIS data. - Gerard Pons Recasens 001; Besim Bilalli; Alberto Abelló; Santiago Blanco Sánchez (HANIMOB@SIGSPATIAL, 2022)

DOGO4ML: Development, Operation and Data Governance for ML-based Software Systems. - Claudia P. Ayala; Besim Bilalli; Cristina Gómez 001; Silverio Martínez-Fernández (RCIS Workshops, 2022)

Data pre-processing pipeline generation for AutoETL. - Joseph Giovanelli; Besim Bilalli; Alberto Abelló (Inf. Syst., 2022)

Operationalizing and automating Data Governance. - Sergi Nadal; Petar Jovanovic 001; Besim Bilalli; Oscar Romero 001 (J. Big Data, 2022)

Wrapper Methods for Multi-Objective Feature Selection. - Uchechukwu Njoku; Besim Bilalli; Alberto Abelló; Gianluca Bontempi (EDBT, 2023)

Capturing Analytical Intents from Text. - Gerard Pons 001; Miona Dimic; Besim Bilalli (ADBIS (Short Papers), 2024)

There is no Data Science without Data Governance: a Proposal Based on Knowledge Graphs. - Besim Bilalli; Petar Jovanovic 001; Sergi Nadal; Anna Queralt; Oscar Romero 001 (DOLAP, 2024)

A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection. - Uchechukwu F. Njoku; Alberto Abelló; Besim Bilalli; Gianluca Bontempi (DOLAP, 2024)

Finding Relevant Information in Big Datasets with ML. - Uchechukwu F. Njoku; Alberto Abelló; Besim Bilalli; Gianluca Bontempi (EDBT, 2024)

Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation. - Gerard Pons Recasens 001; Besim Bilalli; Anna Queralt (ISWC (1), 2024)

Capturing and Anticipating User Intents in Data Analytics via Knowledge Graphs. - Gerard Pons 001; Besim Bilalli; Anna Queralt (CoRR, 2024)

Reproducible experiments for generating pre-processing pipelines for AutoETL. - Joseph Giovanelli; Besim Bilalli; Alberto Abelló; Fernando Silva-Coira; Guillermo de Bernardo (Inf. Syst., 2024)

Towards Continuous Experiment-Driven MLOps. - Keerthiga Rajenthiram; Milad Abdullah; Ilias Gerostathopoulos; Petr Hnetynka; Tomás Bures; Gerard Pons 001; Besim Bilalli; Anna Queralt (CAIN, 2025)

Challenges to Enforce Data Quality in Data Spaces. - Claudia P. Ayala; Besim Bilalli; Cristina Gómez 001; Jose-Norberto Mazón; Oscar Romero 001 (DOLAP, 2025)

Towards fair machine learning using many-objective feature selection. - Uchechukwu F. Njoku; Alberto Abelló; Besim Bilalli; Gianluca Bontempi (Appl. Soft Comput., 2025)

On many-objective feature selection and the need for interpretability. - Uchechukwu F. Njoku; Alberto Abelló; Besim Bilalli; Gianluca Bontempi (Expert Syst. Appl., 2025)

On the use of trajectory data for tackling data scarcity. - Gerard Pons 001; Besim Bilalli; Alberto Abelló; Santiago Blanco Sánchez (Inf. Syst., 2025)