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dblp: Karina S. Machado https://dblp.org/pid/31/6394.html dblp person page RSS feed Thu, 07 Nov 2024 20:29:23 +0100 en-US daily 1 released under the CC0 1.0 license dblp@dagstuhl.de (dblp team) dblp@dagstuhl.de (dblp team) Computers/Computer_Science/Publications/Bibliographies http://www.rssboard.org/rss-specification https://dblp.org/img/logo.144x51.pngdblp: Karina S. Machadohttps://dblp.org/pid/31/6394.html14451 Artificial Neural Networks for the Rapid Prediction of Possible Ferroptosis Inducers Using the GPx4 Enzyme.https://doi.org/10.1109/CIBCB58642.2024.10702169, , , , , :
Artificial Neural Networks for the Rapid Prediction of Possible Ferroptosis Inducers Using the GPx4 Enzyme. CIBCB : 1-6]]>
https://dblp.org/rec/conf/cibcb/Alvarado-Huayhuaz24Mon, 01 Jan 2024 00:00:00 +0100
RFL-Score: Random Forest with Lasso Scoring Function for Protein-Ligand Molecular Docking.https://doi.org/10.1109/CIBCB58642.2024.10702128, , , :
RFL-Score: Random Forest with Lasso Scoring Function for Protein-Ligand Molecular Docking. CIBCB : 1-8]]>
https://dblp.org/rec/conf/cibcb/ArceAWM24Mon, 01 Jan 2024 00:00:00 +0100
Feature Selection Investigation in Machine Learning Docking Scoring Functions.https://doi.org/10.1007/978-3-031-42715-2_6, , , :
Feature Selection Investigation in Machine Learning Docking Scoring Functions. BSB : 58-69]]>
https://dblp.org/rec/conf/wob/BalboniAWM23Sun, 01 Jan 2023 00:00:00 +0100
A Non Exhaustive Search of Exhaustiveness.https://doi.org/10.1007/978-3-031-21175-1_11, , , , :
A Non Exhaustive Search of Exhaustiveness. BSB : 97-108]]>
https://dblp.org/rec/conf/wob/CecottiBAMW22Sat, 01 Jan 2022 00:00:00 +0100
Search for Zinc Complexes with High Affinity in Pyrazinamidase from Mycobacterium Tuberculosis Resistant to Pyrazinamide.https://doi.org/10.1007/978-3-031-21175-1_12, , , , , , , :
Search for Zinc Complexes with High Affinity in Pyrazinamidase from Mycobacterium Tuberculosis Resistant to Pyrazinamide. BSB : 109-120]]>
https://dblp.org/rec/conf/wob/Alvarado-Huayhuaz22Sat, 01 Jan 2022 00:00:00 +0100
KORP-PL: a coarse-grained knowledge-based scoring function for protein-ligand interactions.https://doi.org/10.1093/bioinformatics/btaa748, , , :
KORP-PL: a coarse-grained knowledge-based scoring function for protein-ligand interactions. Bioinform. 37(7): 943-950 ()]]>
https://dblp.org/rec/journals/bioinformatics/KadukovaMCG21Fri, 01 Jan 2021 00:00:00 +0100
Low overhead performance monitoring for shared infrastructures.https://doi.org/10.1016/j.eswa.2020.114558, , :
Low overhead performance monitoring for shared infrastructures. Expert Syst. Appl. 171: 114558 ()]]>
https://dblp.org/rec/journals/eswa/PopiolekMM21Fri, 01 Jan 2021 00:00:00 +0100
Ensemble of Protein Stability upon Point Mutation Predictors.https://doi.org/10.1007/978-3-030-91699-2_6, , , , :
Ensemble of Protein Stability upon Point Mutation Predictors. BRACIS (2) : 73-88]]>
https://dblp.org/rec/conf/bracis/FreitasCBWM21Fri, 01 Jan 2021 00:00:00 +0100
Use of Text Messaging (SMS) for the Management of Side Effects in Cancer Patients Undergoing Chemotherapy Treatment: a Randomized Controlled Trial.https://doi.org/10.1007/s10916-020-01663-x, , , , , , :
Use of Text Messaging (SMS) for the Management of Side Effects in Cancer Patients Undergoing Chemotherapy Treatment: a Randomized Controlled Trial. J. Medical Syst. 44(11): 193 ()]]>
https://dblp.org/rec/journals/jms/RicoMFMSPD20Wed, 01 Jan 2020 00:00:00 +0100
A comparison of classifiers for predicting the class color of fluorescent proteins.https://doi.org/10.1016/j.compbiolchem.2019.107089, , , , :
A comparison of classifiers for predicting the class color of fluorescent proteins. Comput. Biol. Chem. 83 ()]]>
https://dblp.org/rec/journals/candc/SilvaMAMW19Tue, 01 Jan 2019 00:00:00 +0100
Reducing Monitoring Overhead in Virtualized Environments Through Feature Selection.https://doi.org/10.5753/sbrc.2018.2403, , :
Reducing Monitoring Overhead in Virtualized Environments Through Feature Selection. SBRC : 15-28]]>
https://dblp.org/rec/conf/sbrc/PopiolekMM18Mon, 01 Jan 2018 00:00:00 +0100
Text Messaging (SMS) Helping Cancer Care in Patients Undergoing Chemotherapy Treatment: a Pilot Study.https://doi.org/10.1007/s10916-017-0831-3, , , , , , , , :
Text Messaging (SMS) Helping Cancer Care in Patients Undergoing Chemotherapy Treatment: a Pilot Study. J. Medical Syst. 41(11): 181:1-181:8 ()]]>
https://dblp.org/rec/journals/jms/RicoMFMNBSPD17Sun, 01 Jan 2017 00:00:00 +0100
A Study on the Relationship between Internal and External Validity Indices Applied to Partitioning and Density-based Clustering Algorithms.https://doi.org/10.5220/0006317000890098, , , :
A Study on the Relationship between Internal and External Validity Indices Applied to Partitioning and Density-based Clustering Algorithms. ICEIS (1) : 89-98]]>
https://dblp.org/rec/conf/iceis/TomasiniBME17Sun, 01 Jan 2017 00:00:00 +0100
Inference of regulatory networks with MCMC sampler guided by mutual information.https://doi.org/10.1145/3019612.3022189, , :
Inference of regulatory networks with MCMC sampler guided by mutual information. SAC : 18-23]]>
https://dblp.org/rec/conf/sac/BarretoMW17Sun, 01 Jan 2017 00:00:00 +0100
An MCDM Approach to the Selection of Novel Technologies for Innovative In-Vehicle Information Systems.https://doi.org/10.4018/IJDSST.2016010103, , , , , , , :
An MCDM Approach to the Selection of Novel Technologies for Innovative In-Vehicle Information Systems. Int. J. Decis. Support Syst. Technol. 8(1): 43-55 ()]]>
https://dblp.org/rec/journals/ijdsst/LisboaVAMRSRP16Fri, 01 Jan 2016 00:00:00 +0100
A framework for virtual screening.https://doi.org/10.1145/2851613.2851618, , , , , :
A framework for virtual screening. SAC : 31-36]]>
https://dblp.org/rec/conf/sac/SeusSGSWM16Fri, 01 Jan 2016 00:00:00 +0100
A methodology for selecting the most suitable cluster validation internal indices.https://doi.org/10.1145/2851613.2851885, , , :
A methodology for selecting the most suitable cluster validation internal indices. SAC : 901-903]]>
https://dblp.org/rec/conf/sac/TomasiniEBM16Fri, 01 Jan 2016 00:00:00 +0100
Deduplicação de Contatos em Dispositivos Móveis Utilizando Similaridade Textual e Aprendizado de Máquina [Contacts Deduplication in Mobile Devices Using Textual Similarity and Machine Learning].https://doi.org/10.5753/sbsi.2016.5958, , , :
Deduplicação de Contatos em Dispositivos Móveis Utilizando Similaridade Textual e Aprendizado de Máquina [Contacts Deduplication in Mobile Devices Using Textual Similarity and Machine Learning]. SBSI : 160-167]]>
https://dblp.org/rec/conf/sbsi/MachadoPMB16Fri, 01 Jan 2016 00:00:00 +0100
Inference of regulatory networks with a convergence improved MCMC sampler.https://doi.org/10.1186/s12859-015-0734-6, , :
Inference of regulatory networks with a convergence improved MCMC sampler. BMC Bioinform. 16: 306:1-306:10 ()]]>
https://dblp.org/rec/journals/bmcbi/AgostinhoMW15Thu, 01 Jan 2015 00:00:00 +0100
Estimation of Parameters of Mycobacterium tuberculosis Growth: A Multi-Agent-Based Simulation Approach.https://doi.org/10.1007/978-3-319-12027-0_48, , , , , , :
Estimation of Parameters of Mycobacterium tuberculosis Growth: A Multi-Agent-Based Simulation Approach. IBERAMIA : 599-610]]>
https://dblp.org/rec/conf/iberamia/WerlangFAMGSW14Wed, 01 Jan 2014 00:00:00 +0100
SIGNUM: tradutor Português-Libras baseado em mineração de texto como extensão para navegador web.http://dl.acm.org/citation.cfm?id=2738193, , , , :
SIGNUM: tradutor Português-Libras baseado em mineração de texto como extensão para navegador web. IHC (Companion) : 69-70]]>
https://dblp.org/rec/conf/ihc/GelattiCVFM14Wed, 01 Jan 2014 00:00:00 +0100
Multi-Agent-Based Simulation of Mycobacterium Tuberculosis Growth.https://doi.org/10.1007/978-3-642-54783-6_9, , , , , , :
Multi-Agent-Based Simulation of Mycobacterium Tuberculosis Growth. MABS : 131-142]]>
https://dblp.org/rec/conf/mabs/WerlangFAMGSW13Tue, 01 Jan 2013 00:00:00 +0100
A data warehouse as an infrastructure to mine molecular descriptors for virtual screening.https://doi.org/10.1145/2480362.2480613, , :
A data warehouse as an infrastructure to mine molecular descriptors for virtual screening. SAC : 1335-1336]]>
https://dblp.org/rec/conf/sac/PerazzoWM13Tue, 01 Jan 2013 00:00:00 +0100
Parallel Algorithm for the HP Protein Folding Problem.https://doi.org/10.1109/WEIT.2013.18, , , , , :
Parallel Algorithm for the HP Protein Folding Problem. WEIT : 72-77]]>
https://dblp.org/rec/conf/weit/SantosGGMWM13Tue, 01 Jan 2013 00:00:00 +0100
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data.https://doi.org/10.1186/1471-2105-13-310, , , , , , :
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. BMC Bioinform. 13: 310 ()]]>
https://dblp.org/rec/journals/bmcbi/BarrosWMBCRS12Sun, 01 Jan 2012 00:00:00 +0100
A Comparative Analysis of Public Ligand Databases Based on Molecular Descriptors.https://doi.org/10.1007/978-3-642-31927-3_14, , , , :
A Comparative Analysis of Public Ligand Databases Based on Molecular Descriptors. BSB : 156-167]]>
https://dblp.org/rec/conf/wob/WinckQMSR12Sun, 01 Jan 2012 00:00:00 +0100
Seleção eficiente de conformações de receptor flexível em simulações de docagem molecular.http://tede2.pucrs.br/tede2/handle/tede/5134:
Seleção eficiente de conformações de receptor flexível em simulações de docagem molecular. Pontifícia Universidade Católica do Rio Grande do Sul, Brazil, ]]>
https://dblp.org/rec/phd/ndltd/Machado11Sat, 01 Jan 2011 00:00:00 +0100
Mining flexible-receptor molecular docking data.https://doi.org/10.1002/widm.46, , , :
Mining flexible-receptor molecular docking data. WIREs Data Mining Knowl. Discov. 1(6): 532-541 ()]]>
https://dblp.org/rec/journals/widm/MachadoWRS11Sat, 01 Jan 2011 00:00:00 +0100
Association Rules to Identify Receptor and Ligand Structures through Named Entities Recognition.https://doi.org/10.1007/978-3-642-13033-5_13, , , :
Association Rules to Identify Receptor and Ligand Structures through Named Entities Recognition. IEA/AIE (3) : 119-128]]>
https://dblp.org/rec/conf/ieaaie/WinckMRL10Fri, 01 Jan 2010 00:00:00 +0100
Discretization of Flexible-Receptor Docking Data.https://doi.org/10.1007/978-3-642-15060-9_10, , , :
Discretization of Flexible-Receptor Docking Data. BSB : 75-79]]>
https://dblp.org/rec/conf/wob/MachadoWRS10Fri, 01 Jan 2010 00:00:00 +0100
FReDD: Supporting Mining Strategies through a Flexible-Receptor Docking Database.https://doi.org/10.1007/978-3-642-03223-3_13, , , :
FReDD: Supporting Mining Strategies through a Flexible-Receptor Docking Database. BSB : 143-146]]>
https://dblp.org/rec/conf/wob/WinckMSR09Thu, 01 Jan 2009 00:00:00 +0100
Extracting Information from Flexible Receptor-Flexible Ligand Docking Experiments.https://doi.org/10.1007/978-3-540-85557-6_10, , , , :
Extracting Information from Flexible Receptor-Flexible Ligand Docking Experiments. BSB : 104-114]]>
https://dblp.org/rec/conf/wob/MachadoSRWS08Tue, 01 Jan 2008 00:00:00 +0100
Automating Molecular Docking with Explicit Receptor Flexibility Using Scientific Workflows.https://doi.org/10.1007/978-3-540-73731-5_1, , , :
Automating Molecular Docking with Explicit Receptor Flexibility Using Scientific Workflows. BSB : 1-11]]>
https://dblp.org/rec/conf/wob/MachadoSRS07Mon, 01 Jan 2007 00:00:00 +0100