Exploració per autor "Bilalli, Besim"
Ara es mostren els items 1-20 de 22
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A framework for assessing the peer review duration of journals: case study in computer science
Bilalli, Besim; Munir, Rana Faisal; Abelló Gamazo, Alberto (Springer Nature, 2021-01)
Article
Accés obertIn various fields, scientific article publication is a measure of productivity and in many occasions it is used as a critical factor for evaluating researchers. Therefore, a lot of time is dedicated to writing articles ... -
Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review
Rubio Maturana, Carles; Oliveira, Allisson Dantas de; Nadal Francesch, Sergi; Bilalli, Besim; Abelló Gamazo, Alberto; López Codina, Daniel; Sayrol Clols, Elisa (Frontiers Media SA, 2022-11-15)
Article
Accés obertMalaria is an infectious disease caused by parasites of the genus Plasmodium spp. It is transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most common disease in resource-poor settings, ... -
Automated data pre-processing via meta-learning
Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs; Wrembel, Robert (2016)
Text en actes de congrés
Accés obertA data mining algorithm may perform differently on datasets with different characteristics, e.g., it might perform better on a dataset with continuous attributes rather than with categorical attributes, or the other way ... -
Data pre-processing pipeline generation for AutoETL
Giovanelli, Joseph; Bilalli, Besim; Abelló Gamazo, Alberto (Elsevier, 2022-09)
Article
Accés obertData pre-processing plays a key role in a data analytics process (e.g., applying a classification algorithm on a predictive task). It encompasses a broad range of activities that span from correcting errors to selecting ... -
DOGO4ML: Development, operation and data governance for ML-based software systems
Ayala Martínez, Claudia Patricia; Bilalli, Besim; Gómez Seoane, Cristina; Martínez Fernández, Silverio Juan (CEUR-WS.org, 2022)
Text en actes de congrés
Accés obertMachine Learning based Software Systems (MLSS) are becoming increasingly pervasive in today’s society and can be found in virtually every domain. Building MLSS is challenging due to their interdisciplinary nature. MLSS ... -
Effective data pre-processing for AutoML
Giovanelli, Joseph; Bilalli, Besim; Abelló Gamazo, Alberto (CEUR-WS.org, 2021)
Text en actes de congrés
Accés obertData pre-processing plays a key role in a data analytics process (e.g., supervised learning). It encompasses a broad range of activities that span from correcting errors to selecting the most relevant features for the ... -
Gestió de dades massives
Abelló Gamazo, Alberto; Bilalli, Besim (Institut d'Estudis Catalans (IEC), 2023-09-22)
Article
Accés obertAquest article pretén donar una visió general del que és la gestió de dades massives, la seva problemàtica i com s’han d’abordar les solucions. La principal dificultat és que no existeix una solució genèrica i s’ha de ... -
iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope
Rubio Maturana, Carles; Oliveira, Allisson Dantas de; Nadal Francesch, Sergi; Zarzuela Serrat, Francesc; Sulleiro Igual, Elena; Ruiz Marti, Edurne; Bilalli, Besim; Veiga Lluch, Anna; Espasa Soley, Mateu; Abelló Gamazo, Alberto; Pumarola Sunyer, Tomas; Segu Estruch, Marta; López Codina, Daniel; Sayrol Clos, Elisa; Joseph Munné, Joan (Frontiers Media SA, 2023-11-24)
Article
Accés obertMalaria is one of the most prevalent infectious diseases in sub-Saharan Africa, with 247 million cases reported worldwide in 2021 according to the World Health Organization. Optical microscopy remains the gold standard ... -
Impact of filter feature selection on classification: an empirical study
Njoku, Uchechukwu Fortune; Abelló Gamazo, Alberto; Bilalli, Besim; Bontempi, Gianluca (CEUR-WS.org, 2022)
Comunicació de congrés
Accés obertThe high-dimensionality of Big Data poses challenges in data understanding and visualization. Furthermore, it leads to lengthy model building times in data analysis and poor generalization for machine learning models. ... -
Intelligent assistance for data pre-processing
Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs; Wrembel, Robert (Elsevier, 2017-06-03)
Article
Accés obertA data mining algorithm may perform differently on datasets with different characteristics, e.g., it might perform better on a dataset with continuous attributes rather than with categorical attributes, or the other way ... -
Learning fishing information from AIS data
Pons Recasens, Gerard; Bilalli, Besim; Abelló Gamazo, Alberto; Blanco Sánchez, Santiago (Association for Computing Machinery (ACM), 2022)
Text en actes de congrés
Accés obertThe Automatic Identification System (AIS) allows vessels to emit their position, speed and course while sailing. By international law, all larges vessels (e.g., bigger than 15m in Europe) are required to provide such data. ... -
Learning the impact of data pre-processing in data analysis
Bilalli, Besim (Universitat Politècnica de Catalunya, 2018-06-28)
Tesi
Accés obert
Realitzat a/amb: Politechnika PoznańskaThere is a clear correlation between data availability and data analytics, and hence with the increase of data availability --- unavoidable according to Moore's law, the need for data analytics increases too. This certainly ... -
On the predictive power of meta-features in OpenML
Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs (2017-12-20)
Article
Accés obertThe demand for performing data analysis is steadily rising. As a consequence, people of different profiles (i.e., non-experienced users) have started to analyze their data. However, this is challenging for them. A key step ... -
Operationalizing and automating data governance
Nadal Francesch, Sergi; Jovanovic, Petar; Bilalli, Besim; Romero Moral, Óscar (Springer Nature, 2022-12-10)
Article
Accés obertThe ability to cross data from multiple sources represents a competitive advantage for organizations. Yet, the governance of the data lifecycle, from the data sources into valuable insights, is largely performed in an ... -
PRESISTANT : data pre-processing assistant
Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs; Munir, Rana Faisal; Wrembel, Robert (Springer, 2019)
Comunicació de congrés
Accés obertA concrete classification algorithm may perform differently on datasets with different characteristics, e.g., it might perform better on a dataset with continuous attributes rather than with categorical attributes, or the ... -
PRESISTANT: Learning based assistant for data pre-processing
Bilalli, Besim; Abelló Gamazo, Alberto; Aluja Banet, Tomàs; Wrembel, Robert (Elsevier, 2019-09)
Article
Accés obertData pre-processing is one of the most time consuming and relevant steps in a data analysis process (e.g., classification task). A given data pre-processing operator can have positive, negative, or zero impact on the final ... -
Quarry
Abelló Gamazo, Alberto; Romero Moral, Óscar; Jovanovic, Petar; Nadal Francesch, Sergi; Bilalli, Besim; Candón Arenas, Héctor; Mayorova, Daria; Thavornun, Varunya; Gil González, Daniel (2015-07-01)
Programari
Accés restringit per acord de confidencialitat -
Quarry: A user-centered big data integration platform
Jovanovic, Petar; Nadal Francesch, Sergi; Romero Moral, Óscar; Abelló Gamazo, Alberto; Bilalli, Besim (2021-02)
Article
Accés obertObtaining valuable insights and actionable knowledge from data requires cross-analysis of domain data typically coming from various sources. Doing so, inevitably imposes burdensome processes of unifying different data ... -
Reproducible experiments for generating pre-processing pipelines for AutoETL
Giovanelli, Joseph; Bilalli, Besim; Abelló Gamazo, Alberto; Silva Coira, Fernando; de Bernardo Roca, Guillermo (Elsevier, 2024-02)
Article
Accés restringit per política de l'editorialThis work is a companion reproducibility paper of the experiments and results reported in Giovanelli et al. (2022), where data pre-processing pipelines are evaluated in order to find pipeline prototypes that reduce the ... -
Resilient store: a heuristic-based data format selector for intermediate results
Munir, Rana Faisal; Romero Moral, Óscar; Abelló Gamazo, Alberto; Bilalli, Besim; Thiele, Maik; Lehner, Wolfgang (2016)
Número de revista
Accés obertLarge-scale data analysis is an important activity in many organizations that typically requires the deployment of data-intensive workflows. As data is processed these workflows generate large intermediate results, which ...