Search Results - "Bazaga, Adrián"

Translating synthetic natural language to database queries with a polyglot deep learning framework by Bazaga, Adrián, Gunwant, Nupur, Micklem, Gos

“…The number of databases as well as their size and complexity is increasing. This creates a barrier to use especially for non-experts, who have to come to grips…”
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Genome-wide investigation of gene-cancer associations for the prediction of novel therapeutic targets in oncology by Bazaga, Adrián, Leggate, Dan, Weisser, Hendrik

“…A major cause of failed drug discovery programs is suboptimal target selection, resulting in the development of drug candidates that are potent inhibitors, but…”
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BIOLITMAP: a web-based geolocated, temporal and thematic visualization of the evolution of bioinformatics publications by Bazaga, Adrián, Valencia, Alfonso, JoséRementeria, María-

“…Abstract Motivation The fast growth of bioinformatics adds a significant difficulty to assess the contribution, geographical and thematic distribution of the…”
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A Convolutional Neural Network for the automatic diagnosis of collagen VI-related muscular dystrophies by Bazaga, Adrián, Roldán, Mònica, Badosa, Carmen, Jiménez-Mallebrera, Cecilia, Porta, Josep M.

“…The development of machine learning systems for the diagnosis of rare diseases is challenging, mainly due to the lack of data to study them. This paper…”
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HumanMine: advanced data searching, analysis and cross-species comparison by Lyne, Rachel, Bazaga, Adrián, Butano, Daniela, Contrino, Sergio, Heimbach, Joshua, Hu, Fengyuan, Kalderimis, Alexis, Lyne, Mike, Reierskog, Kevin, Stepan, Radek, Sullivan, Julie, Wise, Archie, Yehudi, Yo, Micklem, Gos

“…HumanMine (www.humanmine.org) is an integrated database of human genomics and proteomics data that provides a powerful interface to support sophisticated…”
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FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models by Zhu, Max, Bazaga, Adrián, Liò, Pietro

“…Learning computational fluid dynamics (CFD) traditionally relies on computationally intensive simulations of the Navier-Stokes equations. Recently, large…”
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HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs by Bazaga, Adrián, Liò, Pietro, Micklem, Gos

“…Hypergraphs are characterized by complex topological structure, representing higher-order interactions among multiple entities through hyperedges. Lately,…”
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Language Model Knowledge Distillation for Efficient Question Answering in Spanish by Bazaga, Adrián, Liò, Pietro, Micklem, Gos

“…Recent advances in the development of pre-trained Spanish language models has led to significant progress in many Natural Language Processing (NLP) tasks, such…”
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SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation by Bazaga, Adrián, Liò, Pietro, Micklem, Gos

“…In recent years, the task of text-to-SQL translation, which converts natural language questions into executable SQL queries, has gained significant attention…”
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Unsupervised Pretraining for Fact Verification by Language Model Distillation by Bazaga, Adrián, Liò, Pietro, Micklem, Gos

“…Fact verification aims to verify a claim using evidence from a trustworthy knowledge base. To address this challenge, algorithms must produce features for…”
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TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting by Margeloiu, Andrei, Bazaga, Adrián, Simidjievski, Nikola, Liò, Pietro, Jamnik, Mateja

“…Tabular data is prevalent in many critical domains, yet it is often challenging to acquire in large quantities. This scarcity usually results in poor…”
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Translating synthetic natural language to database queries: a polyglot deep learning framework by Bazaga, Adrián, Gunwant, Nupur, Micklem, Gos

“…The number of databases as well as their size and complexity is increasing. This creates a barrier to use especially for non-experts, who have to come to grips…”
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Abstract PO3-07-05: Multi-site validation of a deep learning solution for ER/PR profiling of breast cancer from H&E-stained pathology slides by Arslan, Salim, Bazaga, Adrian, Bryson, Gareth, Carlos, Oscar, Geraldes, Andre, Harrison, David, Ironside, Alastair, Kather, Jakob, Khurram, Ali, Leff, David, Mehrotra, Debapriya, Ntelemis, Foivos, Nyonyintono, John, Schmidt, Julian, Singhal, Shikha, Um, In Hwa, Wolf, Steffen, Pandya, Pahini

“…Background: Molecular profiling of estrogen and progesterone receptors (ER/PR/Her2) is performed for all malignant breast cancers to inform the choice of…”
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A Convolutional Neural Network for the Automatic Diagnosis of Collagen VI related Muscular Dystrophies by Bazaga, Adrián, Roldán, Mònica, Badosa, Carmen, Jiménez-Mallebrera, Cecilia, Porta, Josep M

“…The development of machine learning systems for the diagnosis of rare diseases is challenging mainly due the lack of data to study them. Despite this…”
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Performance Evaluation of an Algorithm-based Asynchronous Checkpoint-Restart Fault Tolerant Application Using Mixed MPI/GPI-2 by Bazaga, Adrian, Pitonak, Michal

“…One of the hardest challenges of the current Big Data landscape is the lack of ability to process huge volumes of information in an acceptable time. The goal…”
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