Search Results - "Gomes, Heitor Murilo"

Data stream analysis: Foundations, major tasks and tools by Bahri, Maroua, Bifet, Albert, Gama, João, Gomes, Heitor Murilo, Maniu, Silviu

“…The significant growth of interconnected Internet‐of‐Things (IoT) devices, the use of social networks, along with the evolution of technology in different…”
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Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing by Cassales, Guilherme, Gomes, Heitor Murilo, Bifet, Albert, Pfahringer, Bernhard, Senger, Hermes

“…In recent years, the Edge Computing (EC) paradigm has emerged as an enabling factor for developing technologies like the Internet of Things (IoT) and 5G…”
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A Hybrid Sampling Approach for Imbalanced Binary and Multi-Class Data Using Clustering Analysis by Palli, Abdul Sattar, Jaafar, Jafreezal, Hashmani, Manzoor Ahmed, Gomes, Heitor Murilo, Gilal, Abdul Rehman

“…Unequal data distribution among different classes usually cause a class imbalance problem. Due to the class imbalance, the classification models become biased…”
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An Experimental Analysis of Drift Detection Methods on Multi-Class Imbalanced Data Streams by Palli, Abdul Sattar, Jaafar, Jafreezal, Gomes, Heitor Murilo, Hashmani, Manzoor Ahmed, Gilal, Abdul Rehman

“…The performance of machine learning models diminishes while predicting the Remaining Useful Life (RUL) of the equipment or fault prediction due to the issue of…”
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Online Machine Learning from Non-stationary Data Streams in the Presence of Concept Drift and Class Imbalance: A Systematic Review by Palli, Abdul Sattar, Jaafar, Jafreezal, Gilal, Abdul Rehman, Alsughayyir, Aeshah, Gomes, Heitor Murilo, Alshanqiti, Abdullah, Omar, Mazni

“…In IoT environment applications generate continuous non-stationary data streams with in-built problems of concept drift and class imbalance which cause…”
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A benchmark of classifiers on feature drifting data streams by Barddal, Jean Paul, Murilo Gomes, Heitor, de Souza Britto, Alceu, Enembreck, Fabricio

“…The ever increasing data generation confronts both practitioners and researchers on handling massive and sequentially generated amounts of information, the…”
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Overcoming feature drifts via dynamic feature weighted k-nearest neighbor learning by Barddal, Jean Paul, Murilo Gomes, Heitor, Granatyr, Jones, de Souza Britto, Alceu, Enembreck, Fabricio

“…Extracting useful knowledge from data streams is problematic, mainly due to changes in their data distribution, a phenomenon named concept drift. Recently,…”
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Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental Learning by Lee, Anton, Zhang, Yaqian, Gomes, Heitor Murilo, Bifet, Albert, Pfahringer, Bernhard

“…Proceedings of the 32nd ACM international conference on information and knowledge management, CIKM 2023, birmingham, united kingdom, october 21-25, 2023…”
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Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory by Barddal, Jean Paul, Gomes, Heitor Murilo, Enembreck, Fabrício

“…Mining data streams is one of the main studies in machine learning area due to its application in many knowledge areas. One of the major challenges on mining…”
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Machine Learning (In) Security: A Stream of Problems by Ceschin, Fabrício, Botacin, Marcus, Bifet, Albert, Pfahringer, Bernhard, Oliveira, Luiz S, Gomes, Heitor Murilo, Grégio, André

“…Digital Threats 2023 Machine Learning (ML) has been widely applied to cybersecurity and is considered state-of-the-art for solving many of the open issues in…”
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Fast & Furious: Modelling Malware Detection as Evolving Data Streams by Ceschin, Fabrício, Botacin, Marcus, Gomes, Heitor Murilo, Pinagé, Felipe, Oliveira, Luiz S, Grégio, André

“…Malware is a major threat to computer systems and imposes many challenges to cyber security. Targeted threats, such as ransomware, cause millions of dollars in…”
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Adaptive Random Forests with Resampling for Imbalanced data Streams by Boiko Ferreira, Luis Eduardo, Murilo Gomes, Heitor, Bifet, Albert, Oliveira, Luiz S.

“…The large volume of data generated by computer networks, smartphones, wearables and a wide range of sensors, which produce real-time data, are only useful if…”
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A survey on feature drift adaptation: Definition, benchmark, challenges and future directions by Barddal, Jean Paul, Gomes, Heitor Murilo, Enembreck, Fabrício, Pfahringer, Bernhard

“…•This paper provides insights into a nearly neglected type of drift: feature drifts.•Existing works on feature drift detection and adaptation are…”
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STUDD: a student–teacher method for unsupervised concept drift detection by Cerqueira, Vitor, Gomes, Heitor Murilo, Bifet, Albert, Torgo, Luis

“…Concept drift detection is a crucial task in data stream evolving environments. Most of state of the art approaches designed to tackle this problem monitor the…”
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SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams by Sun, Yibin, Pfahringer, Bernhard, Gomes, Heitor Murilo, Bifet, Albert

“…Most research in machine learning for data streams has focused on classification algorithms, whereas regression methods have received a lot less attention…”
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SeGDroid: An Android malware detection method based on sensitive function call graph learning by Liu, Zhen, Wang, Ruoyu, Japkowicz, Nathalie, Gomes, Heitor Murilo, Peng, Bitao, Zhang, Wenbin

“…Malware is still a challenging security problem in the Android ecosystem, as malware is often obfuscated to evade detection. In such case, semantic behavior…”
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LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding by Barracchia, Emanuele Pio, Pio, Gianvito, Bifet, Albert, Gomes, Heitor Murilo, Pfahringer, Bernhard, Ceci, Michelangelo

“…In many real-world domains, data can naturally be represented as networks. This is the case of social networks, bibliographic networks, sensor networks and…”
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A Survey on Feature Drift Adaptation by Barddal, Jean Paul, Murilo Gomes, Heitor, Enembreck, Fabricio

“…Mining data streams is of the utmost importance due to its appearance in many real-world situations, such as: sensor networks, stock market analysis and…”
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Merit-guided dynamic feature selection filter for data streams by Barddal, Jean Paul, Enembreck, Fabrício, Gomes, Heitor Murilo, Bifet, Albert, Pfahringer, Bernhard

“…•DISCUSS tracks the discriminative power of features in streams.•DISCUSS is the first dynamic feature selection algorithm for data streams.•DISCUSS shows…”
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Fast & Furious: On the modelling of malware detection as an evolving data stream by Ceschin, Fabrício, Botacin, Marcus, Gomes, Heitor Murilo, Pinagé, Felipe, Oliveira, Luiz S., Grégio, André

“…Malware is a major threat to computer systems and imposes many challenges to cyber security. Targeted threats, such as ransomware, cause millions of dollars in…”
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