Search Results - "Comarela, Giovanni"

ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfaces by Queiroz, Felippe C, Vargas, Adriana M P, Oliveira, Maria G A, Comarela, Giovanni V, Silveira, Sabrina A

“…Protein-protein interactions (PPIs) are fundamental in many biological processes and understanding these interactions is key for a myriad of applications…”
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Programmable Switches for in-Networking Classification by Xavier, Bruno Missi, Guimaraes, Rafael Silva, Comarela, Giovanni, Martinello, Magnos

“…Deploying accurate machine learning algorithms into a high-throughput networking environment is a challenging task. On the one hand, machine learning has…”
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MAP4: A Pragmatic Framework for In-Network Machine Learning Traffic Classification by Xavier, Bruno Missi, Guimaraes, Rafael Silva, Comarela, Giovanni, Martinello, Magnos

“…Self-driving networks guided by machine-learning (ML) algorithms are the driving force for building networks of the future. ML is effective at making…”
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Machine Learning-Based Early Attack Detection Using Open RAN Intelligent Controller by Xavier, Bruno Missi, Dzaferagic, Merim, Collins, Diarmuid, Comarela, Giovanni, Martinello, Magnos, Ruffini, Marco

“…We design and demonstrate a method for early detection of Denial-of-Service attacks. The proposed approach takes advantage of the OpenRAN framework to collect…”
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Analytical Performance Models for MapReduce Workloads by Vianna, Emanuel, Comarela, Giovanni, Pontes, Tatiana, Almeida, Jussara, Almeida, Virgílio, Wilkinson, Kevin, Kuno, Harumi, Dayal, Umeshwar

“…MapReduce is a currently popular programming model to support parallel computations on large datasets. Among the several existing MapReduce implementations,…”
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On the Dynamics of Interdomain Routing in the Internet by Ventorim Comarela, Giovanni

“…The routes used in the Internet's interdomain routing system are a rich information source that could be exploited to answer a wide range of questions…”
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Evaluating LLP Methods: Challenges and Approaches by Franco, Gabriel, Comarela, Giovanni, Crovella, Mark

“…Learning from Label Proportions (LLP) is an established machine learning problem with numerous real-world applications. In this setting, data items are grouped…”
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Analysis of Bias in GPT Language Models through Fine-tuning Containing Divergent Data by Turi, Leandro Furlam, Cavalini, Athus, Comarela, Giovanni, Oliveira-Santos, Thiago, Badue, Claudine, De Souza, Alberto F.

“…In this study, we examined the effects of integrating data that contains divergent information, especially concerning anti-vaccination narratives, into the…”
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Machine Learning-based Early Attack Detection Using Open RAN Intelligent Controller by Xavier, Bruno Missi, Dzaferagic, Merim, Collins, Diarmuid, Comarela, Giovanni, Martinello, Magnos, Ruffini, Marco

“…We design and demonstrate a method for early detection of Denial-of-Service attacks. The proposed approach takes advantage of the OpenRAN framework to collect…”
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Tracking Knowledge Propagation Across Wikipedia Languages by Valentim, Roldolfo, Comarela, Giovanni, Park, Souneil, Saez-Trumper, Diego

“…15th International Conference on Web and Social Media (ICWSM-21), 2021 In this paper, we present a dataset of inter-language knowledge propagation in…”
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Towards an Interpretable Metric for DOTA 2 Players: An Unsupervised Learning Approach by Franco, Gabriel, Henrique Fonseca Ribeiro, Marcos, Comarela, Giovanni

“…DOTA 2 is a Multiplayer Online Battle Arena game, which was released in 2013 and currently has approximately one million players worldwide. In this work, we…”
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An Open Source Custom K-means Generator for AWS Cloud FPGA Accelerators by Braganca, Lucas, Canesche, Michael, Penha, Jeronimo, Carvalho, Westerley, Comarela, Giovanni, Nacif, Jose Augusto M., Ferreira, Ricardo

“…Nowadays, FPGAs play an essential role in domain-specific hardware accelerators due to their power efficiency and flexibility. Nevertheless, FPGA programming…”
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Modeling the Performance of the Hadoop Online Prototype by Vianna, E., Comarela, G., Pontes, T., Almeida, J., Almeida, V., Wilkinson, K., Kuno, H., Dayal, U.

“…MapReduce is an important paradigm to support modern data-intensive applications. In this paper we address the challenge of modeling performance of one…”
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Using supervised learning successful descriptors to perform protein structural classification through unsupervised learning by Monteiro, Cleiton, Mendes, VinIcio, Comarela, Giovanni, Silveira, Sabrina A.

“…New protein sequences and structures are made available on an accelerated pace in public databases, which demands automatic reliable methods to make sense of…”
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A GPU/FPGA-Based K-Means Clustering Using a Parameterized Code Generator by Costa Penha, Jeronimo, Braganca, Lucas, Coelho, Kristtopher, Canesche, Michael, Silva, Jansen, Comarela, Giovanni, Nacif, Jose Augusto M., Ferreira, Ricardo

“…The K-means algorithm is a method used for the unsupervised learning task of data clustering. This work presents a K-means specific domain code generator…”
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