• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 323 matches

• 2024
• 
  Civan Lezgin Kahraman, Darius Roman, Lucas Kirschbaum, David Flynn, Jonathan Swingler:
  Machine Learning Pipeline for Power Electronics State of Health Assessment and Remaining Useful Life Prediction. IEEE Access 12: 136727-136746 (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)
• 
  Pierre V. Dantas, Waldir Sabino da Silva Jr., Lucas Carvalho Cordeiro, Celso Barbosa Carvalho:
  A comprehensive review of model compression techniques in machine learning. Appl. Intell. 54(22): 11804-11844 (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)
• 
  Rosa Sicilia, Linlin Shen, Alejandro Rodríguez González, KC Santosh, Peter J. F. Lucas:
  Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine. Artif. Intell. Medicine 156: 102954 (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)
• 
  Amine Chemchem, Lucas Mohimont, François Alin, Luiz Angelo Steffenel:
  Estimation du Rendement du Mil Perlé (Pennisetum glaucum) par Machine Learning à l'aide d'Images Satellites. APIA 2024: 19-26
• 
  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
• 
  Iwen Diouron, Sébastien Harispe, Abdelhak Imoussaten, Massiwa Chabbi, Maëlia Duhart, Antoine Joffroy, Lucas Texier, Guilhem Escudier, Gérard Dray, Stéphane Perrey:
  Comparison of Individualized and Group-Based Machine Learning Approaches to Predict Rate of Perceived Exertion of Professional Football Players. HSI 2024: 1-6
• 
  Lucas Spangher, Allen M. Wang, Andrew Maris, Myles Stapelberg, Viraj Mehta, Alex Saperstein, Stephen Lane-Walsh, Akshata Kishore Moharir, Alessandro Pau, Cristina Rea:
  Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy. ICML 2024
• 
  Shaye Fraser, Mariela Soto-Berelov, Lucas Holden, Robert Hewson, John Webb, Simon D. Jones:
  Mapping Stony Rise Landforms with Remote Sensing and Geophysical Data Using a Machine Learning Approach. IGARSS 2024: 4586-4591
• 
  Lucas Bickmann, Lucas Plagwitz, Julian Varghese:
  Benchmarking Approaches: Time Series Versus Feature-Based Machine Learning in ECG Analysis on the PTB-XL Dataset. MIE 2024: 589-593
• 
  Lucas Plagwitz, Lucas Bickmann, Antonius Büscher, Julian Varghese:
  Assessing the Reliability of Machine Learning Explanations in ECG Analysis Through Feature Attribution. MIE 2024: 616-620
• 
  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)

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