Search Results - "Enembreck, Fabricio"

A framework for dynamic classifier selection oriented by the classification problem difficulty by Brun, André L., Britto, Alceu S., Oliveira, Luiz S., Enembreck, Fabricio, Sabourin, Robert

“…•Framework for dynamic classifier selection oriented by the classification difficulty.•Pool generation considering a better coverage of the problem complexity…”
Get full text

Adaptive random forests for evolving data stream classification by Gomes, Heitor M., Bifet, Albert, Read, Jesse, Barddal, Jean Paul, Enembreck, Fabrício, Pfharinger, Bernhard, Holmes, Geoff, Abdessalem, Talel

“…Random forests is currently one of the most used machine learning algorithms in the non-streaming (batch) setting. This preference is attributable to its high…”
Get full text

Adaptive regularized ensemble for evolving data stream classification by Paim, Aldo M., Enembreck, Fabrício

“…Extracting knowledge from data streams requires fast incremental algorithms that are able to handle unlimited processing and ever-changing data with finite…”
Get full text

Boosting decision stumps for dynamic feature selection on data streams by Barddal, Jean Paul, Enembreck, Fabrício, Gomes, Heitor Murilo, Bifet, Albert, Pfahringer, Bernhard

“…Feature selection targets the identification of which features of a dataset are relevant to the learning task. It is also widely known and used to improve…”
Get full text

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…”
Get full text

Lessons learned from data stream classification applied to credit scoring by Barddal, Jean Paul, Loezer, Lucas, Enembreck, Fabrício, Lanzuolo, Riccardo

“…The financial credibility of a person is a factor used to determine whether a loan should be approved or not, and this is quantified by a ‘credit score,’ which…”
Get full text

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…”
Get full text

Distributed Constraint Optimization Problems: Review and perspectives by Leite, Allan R., Enembreck, Fabrício, Barthès, Jean-Paul A.

“…•DCOP has emerged as an important formalism for coordination in multi-agent systems.•DCOP is capable to model a large class of complex real world problems…”
Get full text

Developing an Intelligent Decision Support System for large-scale smart grid communication network planning by Mochinski, Marcos Alberto, Biczkowski, Mauricio, Chueiri, Ivan Jorge, Jamhour, Edgard, Zambenedetti, Voldi Costa, Pellenz, Marcelo Eduardo, Enembreck, Fabrício

Get full text

Towards an Efficient Method for Large-Scale Wi-SUN-Enabled AMI Network Planning by Mochinski, Marcos Alberto, Vieira, Marina Luísa de Souza Carrasco, Biczkowski, Mauricio, Chueiri, Ivan Jorge, Jamhour, Edgar, Zambenedetti, Voldi Costa, Pellenz, Marcelo Eduardo, Enembreck, Fabrício

“…In a smart grid communication network, positioning key devices (routers and gateways) is an NP-Hard problem as the number of candidate topologies grows…”
Get full text

Regularized and incremental decision trees for data streams by Barddal, Jean Paul, Enembreck, Fabrício

“…Decision trees are a widely used family of methods for learning predictive models from both batch and streaming data. Despite depicting positive results in a…”
Get full text

Estimating and tuning adaptive action plans for the control of smart interconnected poultry condominiums by Klotz, Darlan F., Ribeiro, Richardson, Enembreck, Fabrício, Denardin, Gustavo W., Barbosa, Marco A., Casanova, Dalcimar, Teixeira, Marcelo

“…The systematic choice, update, and implementation of periodic (t) action plans define the feed conversion rate (FCRt) in poultry farming, an acceptable measure…”
Get full text

A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start by Viniski, Antônio David, Barddal, Jean Paul, Britto Jr, Alceu de Souza, Enembreck, Fabrício, Campos, Humberto Vinicius Aparecido de

“…•Retail data made available depicts concept drift and cold start problems.•Neural networks are effective in recommending items to supermarket users.•Streaming…”
Get full text

Generating action plans for poultry management using artificial neural networks by Ribeiro, Richardson, Casanova, Dalcimar, Teixeira, Marcelo, Wirth, André, Gomes, Heitor M., Borges, André P., Enembreck, Fabrício

“…•The consumption of poultry meat has increased 17.96% over the last decade.•Sensor networks are used in agroindustry to collect large amounts of data, withing…”
Get full text

SNCStream+: Extending a high quality true anytime data stream clustering algorithm by Barddal, Jean Paul, Gomes, Heitor Murilo, Enembreck, Fabrício, Barthès, Jean-Paul

“…Data Stream Clustering is an active area of research which requires efficient algorithms capable of finding and updating clusters incrementally as data…”
Get full text

A sociologically inspired heuristic for optimization algorithms: A case study on ant systems by Ribeiro, Richardson, Enembreck, Fabrı´cio

“…► Social network theory can provide optimization algorithms with social heuristics. ► Social Ant-Q: combine theory from different fields to build social…”
Get full text

A social approach for learning agents by Enembreck, Fabrício, Barthès, Jean-Paul André

“…► A well-founded reputation model based on Social Network Theory is proposed. ► The approach outperforms well-known ensemble-based drift detection techniques…”
Get full text

Text-Based Automatic Personality Recognition: a Projective Approach by Camati, Ricardo Stegh, Enembreck, Fabricio

“…This paper provides a new TB-APR approach, using a projective test to build a corpus. The research of Personality Computing shows that it is possible to…”
Get full text

Using Collective Behavior of Coupled Oscillators for Solving DCOP by Leite, Allan R., Enembreck, Fabricio

“…The distributed constraint optimization problem (DCOP) has emerged as one of the most promising coordination techniques in multiagent systems. However, because…”
Get full text

Distributed constraint optimization with MULBS: A case study on collaborative meeting scheduling by Enembreck, Fabrício, André Barthès, Jean-Paul

“…This paper introduces MULBS, a new DCOP (distributed constraint optimization problem) algorithm and also presents a DCOP formulation for scheduling of…”
Get full text