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Author search results
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- Daniel Leite — disambiguation page
- Daniel F. Leite
aka: Daniel Furtado Leite, Daniel Leite 0001
Paderborn University, Department of Computer Science, Germany
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Publication search results
found 226 matches
- 2024
- Pedro Ribeiro, João Alexandre Lôbo Marques, Daniel Pordeus, Laíla Zacarias, Camila Leite, Manoel Alves Neto, Arnaldo Aires Peixoto Júnior, Adriel de Oliveira, João Paulo do Vale Madeiro, Pedro Miguel Rodrigues:
Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity. Biomed. Signal Process. Control. 87(Part A): 105558 (2024) - Helano Miguel B. F. Portela, Rodrigo M. S. Veras, Luis H. S. Vogado, Daniel Leite, Paulo E. Ambrósio, Anselmo Cardoso de Paiva, João Manuel R. S. Tavares:
A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(7) (2024) - Gabriela Cristina Costa Silva, Júlio César Lima Neves, Gustavo Eduardo Marcatti, Carlos Pedro Boechat Soares, Natalino Calegário, Carlos Alberto Araújo Júnior, Duberlí Geomar Elera Gonzáles, José Marinaldo Gleriani, Daniel Henrique Breda Binoti, Haroldo Nogueira de Paiva, Helio Garcia Leite:
Use of artificial neural networks with the physiological principles do predict growth model. Eng. Appl. Artif. Intell. 136: 108914 (2024) - Rubens Antônio Leite Benevides, Daniel Rodrigues dos Santos, Nadisson Luis Pavan, Luis Augusto Koenig Veiga:
Advancing Global Pose Refinement: A Linear, Parameter-Free Model for Closed Circuits via Quaternion Interpolation. Sensors 24(16): 5112 (2024) - Cristoffer Leite, Jerry den Hartog, Daniel Ricardo dos Santos:
Using DNS Patterns for Automated Cyber Threat Attribution. ARES 2024: 196:1-196:11 - Emanuel Marques Queiroga, Daniel Santana, Marcelo da Silva, Martim de Aguiar, Vinicius dos Santos, Rafael Ferreira Mello, Ig Ibert Bittencourt, Cristian Cechinel:
Anticipating Student Abandonment and Failure: Predictive Models in High School Settings. AIED (1) 2024: 351-364 - João Silva-Leite, Cristina A. P. Fontes, Alair S. Santos, Diogo G. Correa, Marcel Koenigkam-Santos, Paulo M. Azevedo-Marques, Daniel de Oliveira, Aline Paes, Marcos V. N. Bedo:
Aggregating embeddings from image and radiology reports for multimodal Chest-CT retrieval. CBMS 2024: 309-314 - Mauro Weber, João Silva-Leite, Lúcio F. D. Santos, Daniel de Oliveira, Marcos V. N. Bedo:
Enriching Hierarchical Navigable Small World Searches with Result Diversification. DEXA (1) 2024: 75-80 - Daniel F. Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo:
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. EAIS 2024: 1-10 - Daniel Coutinho, Luisa Cito, Maria Vitória Lima, Beatriz Arantes, Juliana Alves Pereira, Johny Arriel, João Godinho, Vinicius Martins, Paulo Vítor C. F. Libório, Leonardo Pedrosa Leite, Alessandro Garcia, Wesley K. G. Assunção, Igor Steinmacher, Augusto Baffa, Baldoino Fonseca:
"Looks Good To Me ;-)": Assessing Sentiment Analysis Tools for Pull Request Discussions. EASE 2024: 211-221 - Daniel F. Leite, Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers. FUZZ 2024: 1-10 - Arnab Sharma, Daniel F. Leite, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees. FUZZ 2024: 1-10 - Simon Holk, Daniel Marta, Iolanda Leite:
PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning. HRI 2024: 259-268 - Simon Holk, Daniel Marta, Iolanda Leite:
POLITE: Preferences Combined with Highlights in Reinforcement Learning. ICRA 2024: 2288-2295 - Daniel Marta, Simon Holk, Christian Pek, Iolanda Leite:
SEQUEL: Semi-Supervised Preference-based RL with Query Synthesis via Latent Interpolation. ICRA 2024: 9585-9592 - Daniella Bar-Lev, Adir Kobovich, Orian Leitersdorf, Eitan Yaakobi:
Optimal Almost-Balanced Sequences. ISIT 2024: 2628-2633 - Adir Kobovich, Orian Leitersdorf, Daniella Bar-Lev, Eitan Yaakobi:
Universal Framework for Parametric Constrained Coding. ISIT 2024: 1023-1028 - Roberto de Cerqueira Figueiredo, Daniela Barreiro Claro, Rita Suzana Pitangueira Maciel, Julio César Sampaio do Prado Leite:
Using I* For An Early Analysis Of Interoperability Requirements. WER 2024 - Simon Holk, Daniel Marta, Iolanda Leite:
PREDILECT: Preferences Delineated with Zero-Shot Language-based Reasoning in Reinforcement Learning. CoRR abs/2402.15420 (2024) - Daniel Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo:
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. CoRR abs/2402.17792 (2024) - Daniella Bar-Lev, Adir Kobovich, Orian Leitersdorf, Eitan Yaakobi:
Optimal Almost-Balanced Sequences. CoRR abs/2405.08625 (2024) - 2023
- Gabriella Casalino, Giovanna Castellano, Olgierd Hryniewicz, Daniel Leite, Karol R. Opara, Weronika Radziszewska, Katarzyna Kaczmarek-Majer:
Semi-supervised vs. supervised learning for mental health monitoring: A case study on bipolar disorder. Int. J. Appl. Math. Comput. Sci. 33(3) (2023) - Bing Han, Daniel J. Weeks, Fernanda Leite:
Virtual reality-facilitated engineering education: A case study on sustainable systems knowledge. Comput. Appl. Eng. Educ. 31(5): 1174-1189 (2023) - Jinnie Shin, Renu Balyan, Michelle P. Banawan, Tracy Arner, Walter L. Leite, Danielle S. McNamara:
Pedagogical discourse markers in online algebra learning: Unraveling instructor's communication using natural language processing. Comput. Educ. 205: 104897 (2023) - E. Wes Bethel, Mercy G. Amankwah, Jan Balewski, Roel Van Beeumen, Daan Camps, Daniel Huang, Talita Perciano:
Quantum Computing and Visualization: A Disruptive Technological Change Ahead. IEEE Computer Graphics and Applications 43(6): 101-111 (2023) - Michelle P. Banawan, Jinnie Shin, Tracy Arner, Renu Balyan, Walter L. Leite, Danielle S. McNamara:
Shared Language: Linguistic Similarity in an Algebra Discussion Forum. Comput. 12(3): 53 (2023) - Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto:
A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks. Expert Syst. Appl. 212: 118670 (2023) - Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov, Daniel Leite, Maharadhika Pratama, Susanne Saminger-Platz, Erich-Peter Klement:
Obituary Edwin Lughofer (1972-2023). Evol. Syst. 14(5): 747-748 (2023) - Daniel F. Leite, Igor Skrjanc, Saso Blazic, Andrej Zdesar, Fernando A. C. Gomide:
Interval incremental learning of interval data streams and application to vehicle tracking. Inf. Sci. 630: 1-22 (2023) - Siqi Li, Pinyan Liu, Gustavo G. Nascimento, Xinru Wang, Fabio Renato Manzolli Leite, Bibhas Chakraborty, Chuan Hong, Yilin Ning, Feng Xie, Zhen Ling Teo, Daniel Shu Wei Ting, Hamed Haddadi, Marcus Eng Hock Ong, Marco Aurélio Peres, Nan Liu:
Federated and distributed learning applications for electronic health records and structured medical data: a scoping review. J. Am. Medical Informatics Assoc. 30(12): 2041-2049 (2023)
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