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Publication search results
found 312 matches
- 2024
- Dthenifer Cordeiro Santana
, Gustavo de Faria Theodoro
, Ricardo Gava
, João Lucas Gouveia de Oliveira, Larissa Pereira Ribeiro Teodoro
, Izabela Cristina de Oliveira
, Fábio Henrique Rojo Baio
, Carlos Antonio da Silva Junior
, Job Teixeira de Oliveira
, Paulo Eduardo Teodoro
:
A New Approach to Identifying Sorghum Hybrids Using UAV Imagery Using Multispectral Signature and Machine Learning. Algorithms 17(1): 23 (2024) - Lucas Pereira Carlini
, Gabriel de Almeida Sá Coutrin
, Leonardo Antunes Ferreira
, Juliana do Carmo Azevedo Soares, Giselle V. T. Silva
, Tatiany Marcondes Heideirich
, Rita C. X. Balda, Marina Carvalho de Moraes Barros
, Ruth Guinsburg
, Carlos Eduardo Thomaz
:
Human vs machine towards neonatal pain assessment: A comprehensive analysis of the facial features extracted by health professionals, parents, and convolutional neural networks. Artif. Intell. Medicine 147: 102724 (2024) - Lucas Henna Sallaberry
, Romero Tori
, Fátima L. S. Nunes
:
Automatic performance assessment in Virtual Reality medical simulators: A model based on procedure trajectories and machine learning. Expert Syst. Appl. 238(Part F): 122201 (2024) - Daniela Moctezuma, Carlos López-Vázquez, Lucas Lopes, Norton Trevisan
, José Pérez:
Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach. Knowl. Inf. Syst. 66(2): 1503-1520 (2024) - Orlando Fernandes, Lucas Rego Ramos, Mariana Calixto Acchar, Tiago Arruda-Sanchez
:
Migraine aura discrimination using machine learning: an fMRI study during ictal and interictal periods. Medical Biol. Eng. Comput. 62(8): 2545-2556 (2024) - Jan-Lucas Uslu
, Taoufiq Ouaj
, David Tebbe
, Alexey Nekrasov
, Jo Henri Bertram, Marc Schütte
, Kenji Watanabe
, Takashi Taniguchi
, Bernd Beschoten
, Lutz Waldecker
, Christoph Stampfer
:
An open-source robust machine learning platform for real-time detection and classification of 2D material flakes. Mach. Learn. Sci. Technol. 5(1): 15027 (2024) - Kallil M. C. Zielinski, Lucas Correia Ribas
, Jeaneth Machicao, Odemir M. Bruno
:
A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognit. 146: 109946 (2024) - Lucas Koepke
, Mary Gregg
, Michael Frey:
A machine learning oracle for parameter estimation. Stat. Anal. Data Min. 17(1) (2024) - Mikolaj Krutnik, Andressa Pedro, Van Malcolm Yadack
, Hugo Morais
, Lucas Pereira
:
On the Potential of Tertiary Espresso Machines to Provide Frequency Containment Reserves Services. IEEE Trans. Consumer Electron. 70(1): 173-182 (2024) - Raimundo Alan Freire Moreira, Lucas José Lemos Braz, Fischer Jônatas Ferreira, Márcio André Baima Amora:
Empirical study: detection of Code Smells with machine learning. CIbSE 2024: 301-312 - Suguru Horimoto, Keane Lucas, Lujo Bauer:
Approach for the Optimization of Machine Learning Models for Calculating Binary Function Similarity. DIMVA 2024: 309-329 - Agustín Lucas, Alexis Baladón, Victoria Pardiñas, Marvin M. Agüero-Torales, Santiago Góngora, Luis Chiruzzo:
Grammar-based Data Augmentation for Low-Resource Languages: The Case of Guarani-Spanish Neural Machine Translation. NAACL-HLT 2024: 6385-6397 - Eliakim Gama
, Matheus Paixão
, Mariela I. Cortés
, Lucas Monteiro
:
Towards Realistic SATD Identification through Machine Learning Models: Ongoing Research and Preliminary Results. SIGSOFT FSE Companion 2024: 675-676 - Jonathan Zarnstorff
, Lucas Lebow
, Dillon Remuck
, Colin Ruiz
, Lewis Tseng
:
Brief Announcement: Racos: A Leaderless Erasure Coding State Machine Replication. SPAA 2024: 379-381 - Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková:
Authorship Obfuscation in Multilingual Machine-Generated Text Detection. CoRR abs/2401.07867 (2024) - Vicent Brivá-Iglesias, João Lucas Cavalheiro Camargo, Gokhan Dogru:
Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain? CoRR abs/2402.07681 (2024) - Lucas de Lara, Mathis Deronzier, Alberto González-Sanz, Virgile Foy:
On the nonconvexity of some push-forward constraints and its consequences in machine learning. CoRR abs/2403.07471 (2024) - Kaled M. Alshmrany, Mohannad Aldughaim, Chenfeng Wei, Tom Sweet, Richard Allmendinger, Lucas C. Cordeiro:
FuSeBMC AI: Acceleration of Hybrid Approach through Machine Learning. CoRR abs/2404.06031 (2024) - Jesús E. Marco de Lucas, Maria Peña Fernandez, Lara Lloret Iglesias:
Implementing engrams from a machine learning perspective: XOR as a basic motif. CoRR abs/2406.09940 (2024) - Jesús Marco de Lucas:
Implementing engrams from a machine learning perspective: the relevance of a latent space. CoRR abs/2407.16616 (2024) - Fergus Imrie, Stefan Denner, Lucas S. Brunschwig, Klaus H. Maier-Hein, Mihaela van der Schaar:
Automated Ensemble Multimodal Machine Learning for Healthcare. CoRR abs/2407.18227 (2024) - 2023
- Lucas de Lara:
Modèles contrefactuels pour un apprentissage machine explicable et juste : une approche par transport de masse. (Counterfactual models for hair and explainable machine learning : a mass transportation approach). Paul Sabatier University, Toulouse, France, 2023 - Laurent Risser
, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes
:
Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning. Algorithms 16(11): 510 (2023) - Tiago Palma Pagano
, Rafael Bessa Loureiro
, Fernanda Vitoria Nascimento Lisboa
, Rodrigo Matos Peixoto
, Guilherme Aragao de Sousa Guimaraes, Gustavo Oliveira Ramos Cruz
, Maira Matos Araujo
, Lucas Lisboa dos Santos
, Marco Cruz, Ewerton Lopes Silva de Oliveira
, Ingrid Winkler
, Erick Giovani Sperandio Nascimento
:
Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods. Big Data Cogn. Comput. 7(1): 15 (2023) - Charlie M. Carpenter, Lucas A. Gillenwater, Russell Bowler, Katerina J. Kechris, Debashis Ghosh:
TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes. BMC Bioinform. 24(1): 398 (2023) - Westerley Carvalho
, Michael Canesche
, Lucas Reis, José Augusto Miranda Nacif
, Ricardo S. Ferreira
:
Heterogeneous reconfigurable architectures for machine learning dataflows. Concurr. Comput. Pract. Exp. 35(17) (2023) - Lucas Costa Brito
, Gian Antonio Susto
, Jorge Nei Brito, Marcus Antonio Viana Duarte:
Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data. Expert Syst. Appl. 232: 120860 (2023) - Lucas D. C. de Castro, Leonardo F. S. Scabini, Lucas Correia Ribas
, Odemir M. Bruno, Osvaldo N. Oliveira Jr.:
Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Syst. Appl. 212: 118792 (2023) - Benjamin Lucas
, Behzad Vahedi
, Morteza Karimzadeh
:
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA. Int. J. Data Sci. Anal. 15(3): 247-266 (2023) - Edson Luis Bolfe
, Taya Cristo Parreiras
, Lucas Augusto Pereira da Silva
, Edson Eyji Sano
, Giovana Maranhão Bettiol, Daniel de Castro Victoria, Ieda Del'Arco Sanches
, Luiz Eduardo Vicente:
Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach Using Harmonized Data from Landsat Sentinel-2. ISPRS Int. J. Geo Inf. 12(7): 263 (2023)
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