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Priscila M. V. Lima
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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Journal Articles
- 2023
- [j19]Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Araújo, Priscila M. V. Lima, Maurício Breternitz, Lizy K. John, Felipe M. G. França, Diego Leonel Cadette Dutra:
A conditional branch predictor based on weightless neural networks. Neurocomputing 555: 126637 (2023) - [j18]Zachary Susskind, Aman Arora, Igor D. S. Miranda, Alan T. L. Bacellar, Luis A. Q. Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego L. C. Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John:
ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks. ACM Trans. Archit. Code Optim. 20(4): 61:1-61:24 (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) - 2021
- [j16]Rubens Lacerda Queiroz, Fábio Ferrentini Sampaio, Cabral Lima, Priscila Machado Vieira Lima:
AI from Concrete to Abstract. AI Soc. 36(3): 877-893 (2021) - [j15]Carla Silva, Ana Aguiar, Priscila M. V. Lima, Inês Dutra:
Mapping a logical representation of TSP to quantum annealing. Quantum Inf. Process. 20(12): 386 (2021) - 2020
- [j14]Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Aluizio Lima Filho, Gabriel P. Guarisa, Lucca M. Felix, Priscila M. V. Lima, Felipe M. G. França:
Extending the weightless WiSARD classifier for regression. Neurocomputing 416: 280-291 (2020) - [j13]Leandro Santiago, Letícia Dias Verona, Fábio Medeiros Rangel, Fabrício Firmino de Faria, Daniel S. Menasché, Wouter Caarls, Maurício Breternitz Jr., Sandip Kundu, Priscila M. V. Lima, Felipe M. G. França:
Weightless Neural Networks as Memory Segmented Bloom Filters. Neurocomputing 416: 292-304 (2020) - [j12]Carla Silva, Ana Aguiar, Priscila M. V. Lima, Inês Dutra:
Mapping graph coloring to quantum annealing. Quantum Mach. Intell. 2(2): 1-19 (2020) - [j11]Jae Young Do, Victor da Cruz Ferreira, Hossein Bobarshad, Mahdi Torabzadehkashi, Siavash Rezaei, Ali Heydarigorji, Diego Fonseca Pereira de Souza, Brunno F. Goldstein, Leandro Santiago, Min Soo Kim, Priscila M. V. Lima, Felipe M. G. França, Vladimir Castro Alves:
Cost-effective, Energy-efficient, and Scalable Storage Computing for Large-scale AI Applications. ACM Trans. Storage 16(4): 21:1-21:37 (2020) - 2019
- [j10]Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Felipe M. G. França, Priscila M. V. Lima:
The Exact VC Dimension of the WiSARD n-Tuple Classifier. Neural Comput. 31(1) (2019) - 2017
- [j9]Zhijun Yang, Daqiang Zhang, Marlon Rocha, Priscila M. V. Lima, Mehmet Karamanoglu, Felipe M. G. França:
Prescription of rhythmic patterns for legged locomotion. Neural Comput. Appl. 28(11): 3587-3601 (2017) - [j8]Hugo C. C. Carneiro, Carlos Eduardo Pedreira, Felipe M. G. França, Priscila M. V. Lima:
A universal multilingual weightless neural network tagger via quantitative linguistics. Neural Networks 91: 85-101 (2017) - 2016
- [j7]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:
Financial credit analysis via a clustering weightless neural classifier. Neurocomputing 183: 70-78 (2016) - 2015
- [j6]Hugo C. C. Carneiro, Felipe M. G. França, Priscila M. V. Lima:
Multilingual part-of-speech tagging with weightless neural networks. Neural Networks 66: 11-21 (2015) - 2014
- [j5]Vinicius Layter Xavier, Felipe M. G. França, Adilson Elias Xavier, Priscila M. V. Lima:
A hyperbolic smoothing approach to the Multisource Weber problem. J. Glob. Optim. 60(1): 49-58 (2014) - 2010
- [j4]Bruno P. A. Grieco, Priscila M. V. Lima, Massimo De Gregorio, Felipe M. G. França:
Producing pattern examples from "mental" images. Neurocomputing 73(7-9): 1057-1064 (2010) - 2008
- [j3]Priscila Machado Vieira Lima, M. Mariela Morveli-Espinoza, Glaucia C. Pereira, Talita O. Ferreira, Felipe Maia Galvão França:
Logical Reasoning via Satisfiability Mapped into Energy Functions. Int. J. Pattern Recognit. Artif. Intell. 22(5): 1031-1043 (2008) - 2001
- [j2]Priscila Machado Vieira Lima:
A Goal-Driven Neural Propositional Interpreter. Int. J. Neural Syst. 11(3): 311-322 (2001) - 1990
- [j1]Valmir Carneiro Barbosa, Priscila Machado Vieira Lima:
On the Distributed Parallel Simulation of Hopfield's Neural Networks. Softw. Pract. Exp. 20(10): 967-983 (1990)
Conference and Workshop Papers
- 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 - 2023
- [c66]Igor D. S. Miranda, Aman Arora, Zachary Susskind, Josias S. A. Souza, Mugdha P. Jadhao, Luis A. Q. Villon, Diego L. C. Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John:
COIN: Combinational Intelligent Networks. ASAP 2023: 27-28 - [c65]Leopoldo Lusquino Filho, Felipe M. G. França, Priscila Lima:
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, Aman Arora, Alan T. L. Bacellar, Diego Leonel Cadette Dutra, Igor D. S. Miranda, Maurício Breternitz, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John:
An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection. FPGA 2023: 232 - [c62]Lizy K. John, Felipe M. G. França, Subhasish Mitra, Zachary Susskind, Priscila M. V. Lima, Igor D. S. Miranda, Eugene B. John, Diego L. C. Dutra, Maurício Breternitz:
Dendrite-inspired Computing to Improve Resilience of Neural Networks to Faults in Emerging Memory Technologies. ICRC 2023: 1-5 - 2022
- [c61]Zachary Susskind, Aman Arora, Igor D. S. Miranda, 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, Lizy K. John:
Weightless Neural Networks for Efficient Edge Inference. PACT 2022: 279-290 - [c60]Igor D. S. Miranda, Aman Arora, Zachary Susskind, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Diego Leonel Cadette Dutra, Leandro Santiago de Araújo, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John, Maurício Breternitz:
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., Lizy K. John, Priscila M. V. Lima, Felipe M. G. França:
Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks. ESANN 2022 - [c58]Zachary Susskind, Alan T. L. Bacellar, Aman Arora, Luis A. Q. Villon, Renan Mendanha, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Igor D. S. Miranda, Maurício Breternitz Jr., Lizy K. John:
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., Lizy K. John, Felipe M. G. França, Diego Leonel Cadette Dutra:
A WiSARD-based conditional branch predictor. ESANN 2022 - 2021
- [c56]Raul Barbosa, Diego Carvalho, Priscila Lima, Felipe M. G. França:
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 - 2020
- [c53]Aluizio Lima Filho, Gabriel P. Guarisa, Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Carlos Alberto Nunes Cosenza, Felipe M. G. França, Priscila M. V. Lima:
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, Priscila M. V. Lima:
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, Gabriel P. Guarisa, Aluizio Lima Filho, Felipe M. G. França, Priscila M. V. Lima:
A weightless regression system for predicting multi-modal empathy. FG 2020: 657-661 - [c49]Guilherme C. De Lello, Juliano F. Caldeira, Mauricio Aredes, Felipe M. G. França, Priscila M. V. Lima:
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, Priscila M. V. Lima:
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 - 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, Gabriel Antoine Louis Paillard, Luiz F. R. Oliveira, Aluizio Lima Filho, Felipe M. G. França, Priscila M. V. Lima:
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, Priscila M. V. Lima:
Weightless Neural Network for High Frequency Trading. IJCNN 2018: 1-7 - [c39]Rubens Lacerda Queiroz, Igor Bichara de Azeredo Coutinho, Geraldo Bonorino Xexéo, Priscila Machado Vieira Lima, Fábio Ferrentini Sampaio:
Playing with Robots Using Your Brain. SBGames 2018: 197-204 - 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, João C. P. da Silva, Priscila Lima:
Ontology Alignment with Weightless Neural Networks. ICANN (2) 2017: 376-384 - [c36]Rafael Dutra Cavalcanti, Priscila M. V. Lima, Massimo De Gregorio, Daniel Sadoc Menasché:
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 - 2016
- [c34]Andressa Kappaun, Karine Camargo, Fábio Medeiros Rangel, Fabrício Firmino de Faria, Priscila Machado Vieira Lima, Jonice Oliveira:
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
- [c32]Diego Fonseca Pereira de Souza, Felipe Maia Galvão França, Priscila M. V. Lima:
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
- [c30]Danilo Silva de Carvalho, Felipe Maia Galvão França, Priscila Machado Vieira Lima:
Extracting Semantic Information from Patent Claims Using Phrasal Structure Annotations. BRACIS 2014: 31-36 - [c29]Diego Fonseca Pereira de Souza, Felipe Maia Galvão França, Priscila Machado Vieira Lima:
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, Mehmet Karamanoglu, Felipe Maia Galvão França:
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, Shimon Cohen:
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, Luiza de Macedo Mourelle, Nadia Nedjah, Priscila M. V. Lima:
The Effect of Intelligent Escape on Distributed SER-Based Search. ICCSA (1) 2012: 101-112 - [c18]Douglas de O. Cardoso, Massimo De Gregorio, Priscila Machado Vieira Lima, João Gama, Felipe Maia Galvão França:
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
- [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, Nelson Maculan, Felipe M. G. França:
A Distributed Dynamics for WebGraph Decontamination. ISoLA (1) 2010: 462-472 - 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
- [c11]Charles B. do Prado, Felipe M. G. França, Ramon Diacovo, Priscila Machado Vieira Lima:
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, M. Mariela Morveli-Espinoza, Felipe M. G. França:
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, Glaucia C. Pereira, M. Mariela Morveli-Espinoza, Felipe M. G. França:
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, Glaucia C. Pereira, Felipe Maia Galvão França:
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
- [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 - 1994
- [c1]Priscila Machado Vieira Lima:
Resolution-Based Inference with Artificial Neural Networks. ICLP Workshop: Logic and Reasoning with Neural Networks 1994
Parts in Books or Collections
- 2021
- [p1]Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha:
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. Neuro-Symbolic Artificial Intelligence 2021: 1-51
Informal and Other Publications
- 2024
- [i7]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) - [i6]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) - 2023
- [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
- [i4]Zachary Susskind, Aman Arora, Igor Dantas dos Santos Miranda, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila Machado Vieira Lima, Felipe Maia Galvão França, Maurício Breternitz Jr., Lizy K. John:
Weightless Neural Networks for Efficient Edge Inference. CoRR abs/2203.01479 (2022) - 2020
- [i3]Aluizio S. Lima Filho, Gabriel P. Guarisa, Leopoldo Lusquino Filho, Luiz F. R. Oliveira, Felipe M. G. França, Priscila M. V. Lima:
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) - 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)
Coauthor Index
aka: Alan Tendler Leibel Bacellar
aka: Maurício Breternitz Jr.
aka: Diego L. C. Dutra
aka: Leopoldo A. D. Lusquino Filho
aka: Felipe Maia Galvão França
aka: Lizy K. John
aka: Igor Dantas dos Santos Miranda
aka: Luis Armando Quintanilla Villon
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last updated on 2024-10-11 18:20 CEST by the dblp team
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