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2020 – today
- 2024
[j8]Joseph Giovanelli
, Besim Bilalli, Alberto Abelló, Fernando Silva-Coira, Guillermo de Bernardo:
Reproducible experiments for generating pre-processing pipelines for AutoETL. Inf. Syst. 120: 102314 (2024)- [c12]Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi:
A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection. DOLAP 2024: 83-87 - [c11]Besim Bilalli, Petar Jovanovic, Sergi Nadal, Anna Queralt, Oscar Romero:
There is no Data Science without Data Governance: a Proposal Based on Knowledge Graphs. DOLAP 2024: 88-90 - [c10]Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi:
Finding Relevant Information in Big Datasets with ML. EDBT 2024: 846-849 - 2023
- [c9]Uchechukwu Njoku, Besim Bilalli, Alberto Abelló, Gianluca Bontempi:
Wrapper Methods for Multi-Objective Feature Selection. EDBT 2023: 697-709 - [i2]Uchechukwu F. Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi:
A data-science pipeline to enable the Interpretability of Many-Objective Feature Selection. CoRR abs/2311.18746 (2023) - 2022
- [j7]Joseph Giovanelli, Besim Bilalli, Alberto Abelló:
Data pre-processing pipeline generation for AutoETL. Inf. Syst. 108: 101957 (2022) - [j6]Sergi Nadal, Petar Jovanovic, Besim Bilalli, Oscar Romero:
Operationalizing and automating Data Governance. J. Big Data 9(1): 117 (2022) - [c8]Uchechukwu Njoku, Alberto Abelló, Besim Bilalli, Gianluca Bontempi:
Impact of Filter Feature Selection on Classification: An Empirical Study. DOLAP 2022: 71-80 - [c7]Gerard Pons Recasens, Besim Bilalli, Alberto Abelló, Santiago Blanco Sánchez:
Learning fishing information from AIS data. HANIMOB@SIGSPATIAL 2022: 9-18 - [c6]Claudia P. Ayala, Besim Bilalli, Cristina Gómez, Silverio Martínez-Fernández:
DOGO4ML: Development, Operation and Data Governance for ML-based Software Systems. RCIS Workshops 2022 - 2021
- [j5]Petar Jovanovic, Sergi Nadal, Oscar Romero, Alberto Abelló, Besim Bilalli:
Quarry: A User-centered Big Data Integration Platform. Inf. Syst. Frontiers 23(1): 9-33 (2021) - [j4]Besim Bilalli, Rana Faisal Munir, Alberto Abelló:
A framework for assessing the peer review duration of journals: case study in computer science. Scientometrics 126(1): 545-563 (2021) - [c5]Joseph Giovanelli, Besim Bilalli, Alberto Abelló:
Effective data pre-processing for AutoML. DOLAP 2021: 1-10
2010 – 2019
- 2019
- [j3]Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet, Robert Wrembel:
PRESISTANT: Learning based assistant for data pre-processing. Data Knowl. Eng. 123 (2019) - 2018
- [b1]Besim Bilalli:
Learning the impact of data pre-processing in data analysis. Polytechnic University of Catalonia, Spain, 2018 - [j2]Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet, Robert Wrembel:
Intelligent assistance for data pre-processing. Comput. Stand. Interfaces 57: 101-109 (2018) - [c4]Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet, Rana Faisal Munir, Robert Wrembel:
PRESISTANT: Data Pre-processing Assistant. CAiSE Forum 2018: 57-65 - [i1]Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet, Robert Wrembel:
PRESISTANT: Learning based assistant for data pre-processing. CoRR abs/1803.01024 (2018) - 2017
- [j1]Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet:
On the predictive power of meta-features in OpenML. Int. J. Appl. Math. Comput. Sci. 27(4): 697-712 (2017) - 2016
- [c3]Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet, Robert Wrembel:
Towards Intelligent Data Analysis: The Metadata Challenge. IoTBD 2016: 331-338 - [c2]Rana Faisal Munir, Oscar Romero, Alberto Abelló, Besim Bilalli, Maik Thiele, Wolfgang Lehner:
ResilientStore: A Heuristic-Based Data Format Selector for Intermediate Results. MEDI 2016: 42-56 - [c1]Besim Bilalli, Alberto Abelló, Tomàs Aluja-Banet, Robert Wrembel:
Automated Data Pre-processing via Meta-learning. MEDI 2016: 194-208
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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