Jose L. Salmeron - researchr alias

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Viewing Publication 1 - 48 from 48

2024

A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID DatasetsIrina Arévalo, Jose L. Salmeron. tetc, 12(1):357-367, January - March 2024. [doi]

Blind Federated Learning without initial modelJose L. Salmeron, Irina Arévalo. jbd, 11(1):56, December 2024. [doi]

2021

Construction and Supervised Learning of Long-Term Grey Cognitive NetworksGonzalo Nápoles, Jose L. Salmeron, Koen Vanhoof. tcyb, 51(2):686-695, 2021. [doi]

2020

LRP-Based path relevances for global explanation of deep architecturesRicardo Guerrero-Gómez-Olmedo, Jose L. Salmeron, Carlos Kuchkovsky Jimenez. ijon, 381:252-260, 2020. [doi]

An ACS-based memetic algorithm for the heterogeneous vehicle routing problem with time windowsJose Carlos Molina, Jose L. Salmeron, Ignacio Eguia. eswa, 157:113379, 2020. [doi]

The heterogeneous vehicle routing problem with time windows and a limited number of resourcesJose Carlos Molina, Jose L. Salmeron, Ignacio Eguia, Jesús Racero. eaai, 94:103745, 2020. [doi]

A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer ResearchJose L. Salmeron, Irina Arévalo. rskt 2020: 477-487 [doi]

Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecastingFrank Vanhoenshoven, Gonzalo Nápoles, Wojciech Froelich, Jose L. Salmeron, Koen Vanhoof. asc, 95:106461, 2020. [doi]

2019

2017

Advances in fuzzy cognitive maps theoryWojciech Froelich, Jose L. Salmeron. ijon, 232:1-2, 2017. [doi]

Medical diagnosis of Rheumatoid Arthritis using data driven PSO-FCM with scarce datasetsJose L. Salmeron, Samira Abbasgholizadeh Rahimi, Amir Mohammad Navali, Alireza Sadeghpour. ijon, 232:104-112, 2017. [doi]

Learning FCMs with multi-local and balanced memetic algorithms for forecasting industrial drying processesJose L. Salmeron, Antonio Ruiz-Celma, Ángel Mena. ijon, 232:52-57, 2017. [doi]

2016

Dynamic optimization of fuzzy cognitive maps for time series forecastingJose L. Salmeron, Wojciech Froelich. kbs, 105:29-37, 2016. [doi]

2014

Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time seriesWojciech Froelich, Jose L. Salmeron. ijar, 55(6):1319-1335, 2014. [doi]

Dynamic risks modelling in ERP maintenance projects with FCMCristina Lopez, Jose L. Salmeron. isci, 256:25-45, 2014. [doi]

Modeling maintenance projects risk effects on ERP performanceCristina López, Jose L. Salmeron. csi, 36(3):545-553, 2014. [doi]

Methods and Algorithms for Fuzzy Cognitive Map-based ModelingElpiniki I. Papageorgiou, Jose L. Salmeron. In Elpiniki I. Papageorgiou, editor, Fuzzy Cognitive Maps for Applied Sciences and Engineering - From Fundamentals to Extensions and Learning Algorithms. Volume 54 of Intelligent Systems Reference Library, pages 1-28, Springer, 2014. [doi]

Using Fuzzy Grey Cognitive Maps for Industrial Processes ControlJose L. Salmeron, Elpiniki I. Papageorgiou. In Elpiniki I. Papageorgiou, editor, Fuzzy Cognitive Maps for Applied Sciences and Engineering - From Fundamentals to Extensions and Learning Algorithms. Volume 54 of Intelligent Systems Reference Library, pages 237-252, Springer, 2014. [doi]

Fuzzy grey cognitive maps and nonlinear Hebbian learning in process controlJose L. Salmeron, Elpiniki I. Papageorgiou. apin, 41(1):223-234, 2014. [doi]

2013

A Review of Fuzzy Cognitive Maps Research During the Last DecadeElpiniki I. Papageorgiou, Jose L. Salmeron. tfs, 21(1):66-79, 2013. [doi]

2012

Learning Fuzzy Grey Cognitive Maps using Nonlinear Hebbian-based approachElpiniki I. Papageorgiou, Jose L. Salmeron. ijar, 53(1):54-65, 2012. [doi]

Ranking fuzzy cognitive map based scenarios with TOPSISJose L. Salmeron, Rosario Vidal, Angel Mena. eswa, 39(3):2443-2450, 2012. [doi]

Forecasting Risk Impact on ERP Maintenance with Augmented Fuzzy Cognitive MapsJose L. Salmeron, Cristina Lopez. TSE, 38(2):439-452, 2012. [doi]

Fuzzy Grey Cognitive Maps in reliability engineeringJose L. Salmeron, Ester Gutiérrez. asc, 12(12):3818-3824, 2012. [doi]

Fuzzy cognitive maps for artificial emotions forecastingJose L. Salmeron. asc, 12(12):3704-3710, 2012. [doi]

A Fuzzy Grey Cognitive Maps-based Decision Support System for radiotherapy treatment planningJose L. Salmeron, Elpiniki I. Papageorgiou. kbs, 30:151-160, 2012. [doi]

2011

Exploring Risk Factors in ERP Maintenance ProjectsCristina Lopez, Jose L. Salmeron. riga, 43:50-56, 2011. [doi]

A Framework for Classifying Risks in ERP Maintenance ProjectsCristina Lopez, Jose L. Salmeron. icete 2011: 201-204

Software maintenance scenarios simulation with Fuzzy Cognitive MapsCristina Lopez, Jose L. Salmeron, Sebastián Lozano. fuzzIEEE 2011: 1810-1814 [doi]

2010

A multicriteria approach for risks assessment in ERP maintenanceJose L. Salmeron, Cristina Lopez. jss, 83(10):1941-1953, 2010. [doi]

Modelling grey uncertainty with Fuzzy Grey Cognitive MapsJose L. Salmeron. eswa, 37(12):7581-7588, 2010. [doi]

2009

Benchmarking main activation functions in fuzzy cognitive mapsSalvador Bueno, Jose L. Salmeron. eswa, 36(3):5221-5229, 2009. [doi]

Cognitive Personal Software Assistants within AmI EnvironmentKarel Mls, Jose L. Salmeron, Kamila Olsevicova, Martina Husáková. amif 2009: 167-174 [doi]

Augmented fuzzy cognitive maps for modelling LMS critical success factorsJose L. Salmeron. kbs, 22(4):275-278, 2009. [doi]

2008

TAM-based success modeling in ERPSalvador Bueno, Jose L. Salmeron. iwc, 20(6):515-523, 2008. [doi]

Fuzzy modeling Enterprise Resource Planning tool selectionSalvador Bueno, Jose L. Salmeron. csi, 30(3):137-147, 2008. [doi]

2007

Modelling IT projects success with Fuzzy Cognitive MapsLuis Rodriguez-Repiso, Rossitza Setchi, Jose L. Salmeron. eswa, 32(2):543-559, 2007. [doi]

2006

Management information systems: thoughts on research outletsJose L. Salmeron. ubiquity, 2006(October), 2006. [doi]

An information technologies and information systems industry-based classification in small and medium-sized enterprises: An institutional viewJose L. Salmeron, Salvador Bueno. eor, 173(3):1012-1025, 2006. [doi]

2005

Using the DEA methodology to rank software technical efficiencyInes Herrero, Jose L. Salmeron. CACM, 48(1):101-105, 2005. [doi]

An AHP-based methodology to rank critical success factors of executive information systemsJose L. Salmeron, Ines Herrero. csi, 28(1):1-12, 2005. [doi]

2002

EIS data: findings from an evolutionary studyJose L. Salmeron. jss, 64(2):111-114, 2002. [doi]

EIS evolution in large Spanish businessesJose L. Salmeron. iam, 40(1):41-50, 2002. [doi]

EIS profitability, costs and benefits: an evolutionary approachJose L. Salmeron. imds, 102(5):284-288, 2002. [doi]

2001

Executive information systems in major companies: Spanish case studyJose L. Salmeron, Paula Luna Huertas, Francisco José Martínez. csi, 23(3):195-207, 2001. [doi]

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