183 results on '"Adriano L"'
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2. On the Assessment of Deep Learning Models for Named Entity Recognition of Brazilian Legal Documents.
3. LogBERT-BiLSTM: Detecting Malicious Web Requests.
4. Detecting Malicious HTTP Requests Without Log Parser Using RequestBERT-BiLSTM.
5. Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback.
6. An Adapted GRASP Approach for Hyperparameter Search on Deep Networks Applied to Tabular Data.
7. Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification.
8. UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition.
9. An Information Retrieval Pipeline for Legislative Documents from the Brazilian Chamber of Deputies.
10. DOP-MS: A Microservice-based Data Offloading Service with Support for Data Anonymisation.
11. Identification of Microorganism Colony Odor Signature using InceptionTime.
12. Entropic Out-of-Distribution Detection.
13. Multi-Class Mobile Money Service Financial Fraud Detection by Integrating Supervised Learning with Adversarial Autoencoders.
14. An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification.
15. KutralNet: A Portable Deep Learning Model for Fire Recognition.
16. Squeezed Deep 6DoF Object Detection using Knowledge Distillation.
17. Evaluating Active Learning Sampling Strategies for Opinion Mining in Brazilian Politics Corpora.
18. A Microservice Based Architecture to Support Offloading in Mobile Cloud Computing.
19. Using Active Learning Sampling Strategies for Ensemble Generation on Opinion Mining.
20. Um relato sobre a migração de uma plataforma de offloading para microsserviços.
21. Characterization of Handwritten Signature Images in Dissimilarity Representation Space.
22. On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification.
23. GMM-VRD: A Gaussian Mixture Model for Dealing With Virtual and Real Concept Drifts.
24. A Writer-Independent Approach for Offline Signature Verification using Deep Convolutional Neural Networks Features.
25. Process Mining Discovery Techniques in a Low-Structured Process Works?
26. Aggregation of Time Series Forecasts via Cacoullos Copula.
27. SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation.
28. Reducing SqueezeNet Storage Size with Depthwise Separable Convolutions.
29. The Impact of Dataset Complexity on Transfer Learning over Convolutional Neural Networks.
30. Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach.
31. Heterogeneous Ensemble Dynamic Selection for Software Development Effort Estimation.
32. Optimizing speaker-specific filter banks for speaker verification.
33. Investigating Opinion Mining through Language Varieties: a Case Study of Brazilian and European Portuguese tweets.
34. Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control.
35. Learning What, Where and Which to Transfer
36. Characterizing User-Generated Text Content Mining: A Systematic Mapping Study of the Portuguese Language.
37. Discriminating between Brazilian and European Portuguese National Varieties on Twitter Texts.
38. An Unsupervised Particle Swarm Optimization Approach for Opinion Clustering.
39. FEDD: Feature Extraction for Explicit Concept Drift Detection in time series.
40. Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series.
41. A probabilistic and dynamic chart pattern recognition hybrid system applied to foreign exchange rate prediction.
42. Characterizing Opinion Mining: A Systematic Mapping Study of the Portuguese Language.
43. TOPIE: An Open-Source Opinion Mining Pipeline to Analyze Consumers' Sentiment in Brazilian Portuguese.
44. A Model with Evolutionary Covariance-based Learning for High-Frequency Financial Forecasting.
45. A PAA-PSO technique for investment strategies in the financial market.
46. An approach to handle concept drift in financial time series based on Extreme Learning Machines and explicit Drift Detection.
47. A prediction model for high-frequency financial time series.
48. Sistema de Previsão do Tempo de Chegada dos Ônibus Baseado em Dados Históricos Utilizando Modelos de Regressão [Prediction System of Bus Arrival Time Based on Historical Data Using Regression Models].
49. An iRODS-based distributed and federated data repository for a Multi-CMF Network for Experimentation.
50. A combination forecasting model using machine learning and Kalman filter for statistical arbitrage.
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