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Priscila M. V. Lima
Priscila Machado Vieira Lima – Priscila Lima 0001
Person information
- affiliation: Federal Rural University of Rio de Janeiro, Rio de Janeiro, Brazil
Other persons with the same name
- Priscila Lima 0002 — Federal University of Maranhão, São Luís, MA, Brazil
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2020 – today
- 2024
- [j20]Victor de A. Xavier
, Felipe M. G. França
Emissions Reporting Maturity Model: supporting cities to leverage emissions-related processes through performance indicators and artificial intelligence. RAIRO Oper. Res. 58(2): 1401-1428 (2024) - [c69]Alan Tendler Leibel Bacellar, Zachary Susskind, Maurício Breternitz Jr., Eugene John, Lizy Kurian John, Priscila Machado Vieira Lima, Felipe M. G. França:
Differentiable Weightless Neural Networks. ICML 2024 - [c68]Alan T. L. Bacellar, Zachary Susskind, Maurício Breternitz, Lizy K. John, Felipe M. G. França, Priscila M. V. Lima:
Soon Filter: Advancing Tiny Neural Architectures for High Throughput Edge Inference. IJCNN 2024: 1-8 - [c67]Shashank Nag, Zachary Susskind, Aman Arora, Alan T. L. Bacellar, Diego L. C. Dutra, Igor D. S. Miranda, Krishnan Kailas, Eugene B. John, Maurício Breternitz, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John:
LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA. MWSCAS 2024: 1206-1211 - [i9]Victor de A. Xavier, Felipe M. G. França, Priscila M. V. Lima:
Emissions Reporting Maturity Model: supporting cities to leverage emissions-related processes through performance indicators and artificial intelligence. CoRR abs/2401.00857 (2024) - [i8]Rubens Lacerda Queiroz, Cabral Lima, Fábio Ferrentini Sampaio, Priscila Machado Vieira Lima:
How do machines learn? Evaluating the AIcon2abs method. CoRR abs/2401.07386 (2024) - [i7]Alan T. L. Bacellar, Zachary Susskind, Maurício Breternitz Jr., Eugene John, Lizy K. John, Priscila M. V. Lima, Felipe M. G. França:
Differentiable Weightless Neural Networks. CoRR abs/2410.11112 (2024) - [i6]Shashank Nag, Alan T. L. Bacellar, Zachary Susskind, Anshul Jha, Logan Liberty, Aishwarya Sivakumar, Eugene B. John, Krishnan Kailas, Priscila M. V. Lima, Neeraja J. Yadwadkar, Felipe M. G. França, Lizy K. John:
Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference. CoRR abs/2411.01818 (2024) - 2023
- [j19]Luis A. Q. Villon
A conditional branch predictor based on weightless neural networks. Neurocomputing 555: 126637 (2023) - [j18]Zachary Susskind
ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks. ACM Trans. Archit. Code Optim. 20(4): 61:1-61:24 (2023) - [c66]Igor D. S. Miranda, Aman Arora
COIN: Combinational Intelligent Networks. ASAP 2023: 27-28 - [c65]Leopoldo Lusquino Filho, Felipe M. G. França
WiSARD-based Ensemble Learning. ESANN 2023 - [c64]Guilherme Souza, Priscila Lima, Felipe M. G. França
Sun Tracking using a Weightless Q-Learning Neural Network. ESANN 2023 - [c63]Zachary Susskind
An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection. FPGA 2023: 232 - [c62]Lizy K. John, Felipe M. G. França
Dendrite-inspired Computing to Improve Resilience of Neural Networks to Faults in Emerging Memory Technologies. ICRC 2023: 1-5 - [i5]Zachary Susskind, Aman Arora, Igor D. S. Miranda, Alan T. L. Bacellar, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz Jr., Lizy K. John:
ULEEN: A Novel Architecture for Ultra Low-Energy Edge Neural Networks. CoRR abs/2304.10618 (2023) - 2022
- [j17]Rafael Fontella Katopodis, Priscila M. V. Lima, Felipe M. G. França
Functional gradient descent for n-tuple regression. Neurocomputing 500: 1016-1028 (2022) - [c61]Zachary Susskind, Aman Arora
Weightless Neural Networks for Efficient Edge Inference. PACT 2022: 279-290 - [c60]Igor D. S. Miranda, Aman Arora
LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks. ASAP 2022: 19-26 - [c59]Alan T. L. Bacellar, Zachary Susskind, Luis A. Q. Villon, Igor D. S. Miranda, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Maurício Breternitz Jr.
Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks. ESANN 2022 - [c58]Zachary Susskind, Alan T. L. Bacellar, Aman Arora
Pruning Weightless Neural Networks. ESANN 2022 - [c57]Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Araújo, Priscila M. V. Lima, Maurício Breternitz Jr.
A WiSARD-based conditional branch predictor. ESANN 2022 - [i4]Zachary Susskind, Aman Arora
Weightless Neural Networks for Efficient Edge Inference. CoRR abs/2203.01479 (2022) - 2021
- [j16]Rubens Lacerda Queiroz
AI from Concrete to Abstract. AI Soc. 36(3): 877-893 (2021) - [j15]Carla Silva
Mapping a logical representation of TSP to quantum annealing. Quantum Inf. Process. 20(12): 386 (2021) - [c56]Raul Barbosa, Diego Carvalho
A bag of nodes primer on weightless graph classification. ESANN 2021 - [c55]Rafael Fontella Katopodis, Priscila Lima, Felipe M. G. França:
Functional Gradient Descent for n-Tuple Regression. ESANN 2021 - [c54]Marcos A. Spalenza, Leopoldo Lusquino Filho, Felipe M. G. França, Priscila M. V. Lima, Elias de Oliveira:
LCAD - UFES at FakeDeS 2021: Fake News Detection Using Named Entity Recognition and Part-of-Speech Sequences. IberLEF@SEPLN 2021: 646-654 - [p1]Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. Neuro-Symbolic Artificial Intelligence 2021: 1-51 - 2020
- [j14]Leopoldo Lusquino Filho
Extending the weightless WiSARD classifier for regression. Neurocomputing 416: 280-291 (2020) - [j13]Leandro Santiago
Weightless Neural Networks as Memory Segmented Bloom Filters. Neurocomputing 416: 292-304 (2020) - [j12]Carla Silva
Mapping graph coloring to quantum annealing. Quantum Mach. Intell. 2(2): 1-19 (2020) - [j11]Jae Young Do, Victor da Cruz Ferreira, Hossein Bobarshad
Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications. ACM Trans. Storage 16(4): 21:1-21:37 (2020) - [c53]Aluizio Lima Filho, Gabriel P. Guarisa, Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Carlos Alberto Nunes Cosenza, Felipe M. G. França
Interpretation of Model Agnostic Classifiers via Local Mental Images. ESANN 2020: 37-42 - [c52]Alan T. L. Bacellar, Brunno F. Goldstein, Victor da Cruz Ferreira, Leandro Santiago, Priscila M. V. Lima, Felipe M. G. França:
Fast Deep Neural Networks Convergence using a Weightless Neural Model. ESANN 2020: 211-216 - [c51]Pedro Xavier, Massimo De Gregorio, Felipe M. G. França
Detection of elementary particles with the WiSARD n-tuple classifier. ESANN 2020: 643-648 - [c50]Leopoldo A. D. Lusquino Filho, Luiz F. R. Oliveira, Hugo C. C. Carneiro
A weightless regression system for predicting multi-modal empathy. FG 2020: 657-661 - [c49]Guilherme C. De Lello
Weightless Neural Networks Applied to Nonintrusive Load Monitoring. IPDPS Workshops 2020: 844-851 - [c48]Raphael N. C. B. Rocha, Leopoldo Lusquino Filho, Mauricio Aredes, Felipe M. G. França
Regression WiSARD application of controller on DC STATCOM converter under fault conditions. IPDPS Workshops 2020: 860-867 - [c47]Marcos A. Spalenza, Elias de Oliveira, Leopoldo Lusquino Filho, Priscila M. V. Lima, Felipe M. G. França
Using NER + ML to Automatically Detect Fake News. ISDA 2020: 1176-1187 - [i3]Aluizio S. Lima Filho, Gabriel P. Guarisa, Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Felipe M. G. França
wisardpkg - A library for WiSARD-based models. CoRR abs/2005.00887 (2020) - [i2]Rubens Lacerda Queiroz, Fábio Ferrentini Sampaio, Cabral Lima, Priscila Machado Vieira Lima:
AI from concrete to abstract: demystifying artificial intelligence to the general public. CoRR abs/2006.04013 (2020)
2010 – 2019
- 2019
- [j10]Hugo C. C. Carneiro
The Exact VC Dimension of the WiSARD n-Tuple Classifier. Neural Comput. 31(1) (2019) - [c46]Leandro Santiago de Araújo, Letícia Dias Verona, Fábio Medeiros Rangel, Fabrício Firmino de Faria, Daniel Sadoc Menasché, Wouter Caarls, Maurício Breternitz, Sandip Kundu, Priscila Machado Vieira Lima, Felipe Maia Galvão França:
Memory Efficient Weightless Neural Network using Bloom Filter. ESANN 2019 - [c45]Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Aluizio S. Lima Filho, Gabriel P. Guarisa, Priscila Machado Vieira Lima, Felipe Maia Galvão França:
Prediction of palm oil production with an enhanced n-Tuple Regression Network. ESANN 2019 - [c44]Luis Filipe Kopp, José Barbosa-Filho, Priscila Machado Vieira Lima, Claudio M. de Farias:
Modeling Sparse Data as Input for Weightless Neural Network. ESANN 2019 - [c43]Luis Filipe Kopp, Gabriel Martins de Oliveira Costa, Claudio M. de Farias, Priscila M. V. Lima, Luiz F. R. C. Carmo:
Sensor Data Prediction techniques for nodes in IoT (poster). FUSION 2019: 1-6 - [c42]Leopoldo Lusquino Filho
Action Units Classification Using ClusWiSARD. ICANN (3) 2019: 409-420 - 2018
- [c41]Leopoldo Lusquino Filho, Felipe M. G. França, Priscila M. V. Lima:
Near-optimal facial emotion classification using a WiSARD-based weightless system. ESANN 2018 - [c40]Samara A. Alves, Wouter Caarls
Weightless Neural Network for High Frequency Trading. IJCNN 2018: 1-7 - [c39]Rubens Lacerda Queiroz
Playing with Robots Using Your Brain. SBGames 2018: 197-204 - 2017
- [j9]Zhijun Yang, Daqiang Zhang, Marlon Rocha, Priscila M. V. Lima
Prescription of rhythmic patterns for legged locomotion. Neural Comput. Appl. 28(11): 3587-3601 (2017) - [j8]Hugo C. C. Carneiro
A universal multilingual weightless neural network tagger via quantitative linguistics. Neural Networks 91: 85-101 (2017) - [c38]Rafael Adnet Pinho, Walkir Brito, Cláudia Lage Rebello da Motta, Priscila Lima:
Automatic crime report classi cation through a weightless neural network. ESANN 2017 - [c37]Thais Viana, Carla Delgado
Ontology Alignment with Weightless Neural Networks. ICANN (2) 2017: 376-384 - [c36]Rafael Dutra Cavalcanti, Priscila M. V. Lima
Evaluating weightless neural networks for bias identification on news. ICNSC 2017: 257-262 - [c35]Priscila M. V. Lima:
Q-SATyrus: Mapping Neuro-symbolic Reasoning into an Adiabatic Quantum Computer. NeSy 2017 - [i1]Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha:
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. CoRR abs/1711.03902 (2017) - 2016
- [j7]Douglas de O. Cardoso
Financial credit analysis via a clustering weightless neural classifier. Neurocomputing 183: 70-78 (2016) - [c34]Andressa Kappaun, Karine Camargo, Fábio Medeiros Rangel, Fabrício Firmino de Faria, Priscila Machado Vieira Lima
Evaluating Binary Encoding Techniques for WiSARD. BRACIS 2016: 103-108 - [c33]Fábio Medeiros Rangel, Fabrício Firmino de Faria, Priscila M. V. Lima, Jonice Oliveira:
Semi-Supervised Classification of Social Textual Data Using WiSARD. ESANN 2016 - 2015
- [j6]Hugo C. C. Carneiro
Multilingual part-of-speech tagging with weightless neural networks. Neural Networks 66: 11-21 (2015) - [c32]Diego Fonseca Pereira de Souza, Felipe Maia Galvão França
Real-Time Music Tracking Based on a Weightless Neural Network. CISIS 2015: 64-69 - [c31]Daniel Nascimento, Rafael Lima de Carvalho, Félix Mora-Camino, Priscila M. V. Lima, Felipe M. G. França:
A WiSARD-based multi-term memory framework for online tracking of objects. ESANN 2015 - 2014
- [j5]Vinicius Layter Xavier
A hyperbolic smoothing approach to the Multisource Weber problem. J. Glob. Optim. 60(1): 49-58 (2014) - [c30]Danilo Silva de Carvalho
Extracting Semantic Information from Patent Claims Using Phrasal Structure Annotations. BRACIS 2014: 31-36 - [c29]Diego Fonseca Pereira de Souza, Felipe Maia Galvão França
Spatio-temporal Pattern Classification with KernelCanvas and WiSARD. BRACIS 2014: 228-233 - [c28]Douglas de O. Cardoso, Danilo S. Carvalho, Daniel S. F. Alves, Diego Fonseca Pereira de Souza, Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Priscila M. V. Lima, Felipe M. G. França:
Credit analysis with a clustering RAM-based neural classifier. ESANN 2014 - [c27]Rafael Lima de Carvalho, Danilo S. Carvalho, Priscila M. V. Lima, Félix Mora-Camino, Felipe M. G. França:
Online tracking of multiple objects using WiSARD. ESANN 2014 - [c26]Massimo De Gregorio, Felipe M. G. França, Priscila M. V. Lima, Wilson Rosa de Oliveira:
Advances on Weightless Neural Systems. ESANN 2014 - [c25]Zhijun Yang, Marlon Rocha, Priscila M. V. Lima
A legged central pattern generation model for autonomous gait transition. IJCNN 2014: 1992-1995 - [c24]Denilson Guimaraes, Eber A. Schmitz, Antonio Juarez Alencar, Priscila Lima, Alexandre L. Correa:
A Method for Verifying the Consistency of Business Rules Using Alloy. SEKE 2014: 381-386 - 2013
- [c23]Douglas de O. Cardoso, João Gama, Massimo De Gregorio, Felipe M. G. França, Maurizio Giordano, Priscila M. V. Lima:
WIPS: the WiSARD Indoor Positioning System. ESANN 2013 - [c22]Danilo S. Carvalho, Hugo C. C. Carneiro, Felipe M. G. França, Priscila M. V. Lima:
B-bleaching: Agile Overtraining Avoidance in the WiSARD Weightless Neural Classifier. ESANN 2013 - 2012
- [c21]Caio Souza, Flavio Nobre, Priscila M. V. Lima, Robson Silva, Rodrigo Brindeiro, Felipe M. G. França:
Recognition of HIV-1 subtypes and antiretroviral drug resistance using weightless neural networks. ESANN 2012 - [c20]Gadi Pinkas, Priscila M. V. Lima
A Dynamic Binding Mechanism for Retrieving and Unifying Complex Predicate-Logic Knowledge. ICANN (1) 2012: 482-490 - [c19]Daniel S. F. Alves, Felipe M. G. França
The Effect of Intelligent Escape on Distributed SER-Based Search. ICCSA (1) 2012: 101-112 - [c18]Douglas de O. Cardoso
A Weightless Neural Network-Based Approach for Stream Data Clustering. IDEAL 2012: 328-335 - 2011
- [c17]Douglas de O. Cardoso, Priscila M. V. Lima, Massimo De Gregorio, João Gama, Felipe M. G. França:
Clustering data streams with weightless neural networks. ESANN 2011 - [c16]Gadi Pinkas, Priscila M. V. Lima, Shimon Cohen:
Compact Crossbar Variable Binding for Neuro-Symbolic Computation. NeSy 2011: 14-18 - 2010
- [j4]Bruno P. A. Grieco, Priscila M. V. Lima
Producing pattern examples from "mental" images. Neurocomputing 73(7-9): 1057-1064 (2010) - [c15]Hugo C. C. Carneiro, Felipe M. G. França, Priscila M. V. Lima:
WANN-Tagger - A Weightless Artificial Neural Network Tagger for the Portuguese Language. IJCCI (ICFC-ICNC) 2010: 330-335 - [c14]Vanessa C. F. Gonçalves, Priscila M. V. Lima
A Distributed Dynamics for WebGraph Decontamination. ISoLA (1) 2010: 462-472
2000 – 2009
- 2009
- [c13]Igor Aleksander, Massimo De Gregorio, Felipe Maia Galvão França, Priscila Machado Vieira Lima, Helen Morton:
A brief introduction to Weightless Neural Systems. ESANN 2009 - [c12]Bruno P. A. Grieco, Priscila Machado Vieira Lima, Massimo De Gregorio, Felipe Maia Galvão França:
Extracting fuzzy rules from "mental" images generated by a modified WISARD perceptron. ESANN 2009 - 2008
- [j3]Priscila Machado Vieira Lima
Logical Reasoning via Satisfiability Mapped into Energy Functions. Int. J. Pattern Recognit. Artif. Intell. 22(5): 1031-1043 (2008) - [c11]Charles B. do Prado, Felipe M. G. França
The Influence of Order on a Large Bag of Words. ISDA (1) 2008: 432-436 - [c10]Alberto Ferreira de Souza, Sotério Ferreira de Souza, Claudio Luis de Amorim, Priscila M. V. Lima, Peter Rounce:
Hardware Supported Synchronization Primitives for Clusters. PDPTA 2008: 520-526 - 2007
- [c9]Priscila Machado Vieira Lima
Logic as Energy: A SAT-Based Approach. BVAI 2007: 458-467 - 2006
- [c8]Gisele P. Morgado, Denis Silva da Silveira, Antonio J. Alencar, Priscila Lima, Eber A. Schmitz:
RAPDIS: Um Processo MDA para Desenvolvimento de Sistemas de Informação. SBSI 2006: 33-40 - [c7]Felipe G. Dias, Gisele P. Morgado, Pedro Oscar, Denis Silva da Silveira, Antonio Juarez Alencar, Priscila Lima, Eber A. Schmitz:
Uma Abordagem para a Transformação Automática do Modelo de Negócio em Modelo de Requisitos. WER 2006: 51-60 - 2005
- [c6]Priscila Machado Vieira Lima
Mapping and Combining Combinatorial Problems into Energy Landscapes via Pseudo-Boolean Constraints. BVAI 2005: 308-317 - [c5]Priscila Machado Vieira Lima, M. Mariela Morveli-Espinoza
SATyrus: A SAT-based Neuro-Symbolic Architecture for Constraint Processing. HIS 2005: 137-142 - 2004
- [c4]Felipe G. Dias, Gisele P. Morgado, Alissandra E. Martins, Célia M. Seabra, Denis Silva da Silveira, Antonio J. Alencar, Priscila M. V. Lima, Eber A. Schmitz:
Um Ambiente para Modelagem Organizacional Baseado em Regras de Negócio. SBSI 2004: 237-244 - 2001
- [j2]Priscila Machado Vieira Lima
A Goal-Driven Neural Propositional Interpreter. Int. J. Neural Syst. 11(3): 311-322 (2001) - [c3]Iara Moema Oberg Vilela, Priscila Machado Vieira Lima
Conjecturing the Cognitive Plausibility of an ANN Theorem-Prover. IWANN (1) 2001: 822-830 - 2000
- [c2]Priscila Machado Vieira Lima:
A Neural Propositional Reasoner that is Goal-Driven and Works without Pre-Compiled Knowledge. SBRN 2000: 261-266
1990 – 1999
- 1994
- [c1]Priscila Machado Vieira Lima:
Resolution-Based Inference with Artificial Neural Networks. ICLP Workshop: Logic and Reasoning with Neural Networks 1994 - 1990
- [j1]Valmir Carneiro Barbosa
On the Distributed Parallel Simulation of Hopfield's Neural Networks. Softw. Pract. Exp. 20(10): 967-983 (1990)
Coauthor Index
Alan T. L. Bacellar
aka: Alan Tendler Leibel Bacellar
aka: Alan Tendler Leibel Bacellar
Maurício Breternitz
aka: Maurício Breternitz Jr.
aka: Maurício Breternitz Jr.
Diego Leonel Cadette Dutra
aka: Diego L. C. Dutra
aka: Diego L. C. Dutra
Leopoldo Lusquino Filho
aka: Leopoldo A. D. Lusquino Filho
aka: Leopoldo A. D. Lusquino Filho
Felipe M. G. França
aka: Felipe Maia Galvão França
aka: Felipe Maia Galvão França
[j20] [c69] [c68] [c67] [i9] [i7] [i6] [j19] [j18] [c66] [c65] [c64] [c63] [c62] [i5] [j17] [c61] [c60] [c59] [c58] [c57] [i4] [c56] [c55] [c54] [j14] [j13] [j11] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i3] [j10] [c46] [c45] [c42] [c41] [j9] [j8] [j7] [j6] [c32] [c31] [j5] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [c21] [c19] [c18] [c17] [j4] [c15] [c14] [c13] [c12] [j3] [c11] [c9] [c6] [c5]
Lizy Kurian John
aka: Lizy K. John
aka: Lizy K. John
Igor D. S. Miranda
aka: Igor Dantas dos Santos Miranda
aka: Igor Dantas dos Santos Miranda
Luis A. Q. Villon
aka: Luis Armando Quintanilla Villon
aka: Luis Armando Quintanilla Villon
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