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ORCIDJose L. Salmeron
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2020 – today
- 2025
[j43]Jose L. Salmeron
, Irina Arévalo:
Concurrent vertical and horizontal federated learning with fuzzy cognitive maps. Future Gener. Comput. Syst. 162: 107482 (2025)- 2024
- [j42]Jose L. Salmeron, Irina Arévalo:
Blind Federated Learning without initial model. J. Big Data 11(1): 56 (2024) - [j41]Irina Arévalo, Jose L. Salmeron:
A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets. IEEE Trans. Emerg. Top. Comput. 12(1): 357-367 (2024) - [c6]Irina Arévalo, Jose L. Salmeron, Ivan Romero:
Privacy-preserving distributed learning with chaotic maps. EAIS 2024: 1-7 - [i7]Jose L. Salmeron, Irina Arévalo:
A privacy-preserving, distributed and cooperative FCM-based learning approach for Cancer Research. CoRR abs/2402.10102 (2024) - [i6]Jose L. Salmeron, Irina Arévalo, Antonio Ruiz-Celma:
Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data. CoRR abs/2402.10135 (2024) - [i5]Irina Arévalo, Jose L. Salmeron:
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets. CoRR abs/2402.10145 (2024) - [i4]Jose L. Salmeron, Irina Arévalo:
Blind Federated Learning without initial model. CoRR abs/2404.16180 (2024) - 2021
- [j40]Gonzalo Nápoles, Jose L. Salmeron, Koen Vanhoof:
Construction and Supervised Learning of Long-Term Grey Cognitive Networks. IEEE Trans. Cybern. 51(2): 686-695 (2021) - 2020
- [j39]Frank Vanhoenshoven, Gonzalo Nápoles, Wojciech Froelich, Jose L. Salmeron, Koen Vanhoof:
Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting. Appl. Soft Comput. 95: 106461 (2020) - [j38]Jose Carlos Molina, Jose L. Salmeron, Ignacio Eguia, Jesús Racero:
The heterogeneous vehicle routing problem with time windows and a limited number of resources. Eng. Appl. Artif. Intell. 94: 103745 (2020) - [j37]Jose Carlos Molina, Jose L. Salmeron, Ignacio Eguia:
An ACS-based memetic algorithm for the heterogeneous vehicle routing problem with time windows. Expert Syst. Appl. 157: 113379 (2020) - [j36]Ricardo Guerrero-Gómez-Olmedo, Jose L. Salmeron, Carlos Kuchkovsky Jimenez:
LRP-Based path relevances for global explanation of deep architectures. Neurocomputing 381: 252-260 (2020) - [c5]Jose L. Salmeron, Irina Arévalo:
A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer Research. IJCRS 2020: 477-487
2010 – 2019
- 2019
- [j35]Jose L. Salmeron, Marisol B. Correia, Pedro R. Palos-Sanchez:
Complexity in Forecasting and Predictive Models. Complex. 2019: 8160659:1-8160659:3 (2019) - [j34]Jose L. Salmeron, Taha Mansouri, Mohammad Reza Sadeghi Moghadam, Amirhosein Mardani:
Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm. Knowl. Based Syst. 163: 723-735 (2019) - [j33]Jose L. Salmeron, Pedro R. Palos-Sanchez:
Uncertainty Propagation in Fuzzy Grey Cognitive Maps With Hebbian-Like Learning Algorithms. IEEE Trans. Cybern. 49(1): 211-220 (2019) - [c4]Gonzalo Nápoles, Jose L. Salmeron, Wojciech Froelich, Rafael Falcon, Maikel León Espinosa, Frank Vanhoenshoven, Rafael Bello, Koen Vanhoof:
Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. KES-IDT (1) 2019: 77-87 - 2017
- [j32]Wojciech Froelich, Jose L. Salmeron:
Advances in fuzzy cognitive maps theory. Neurocomputing 232: 1-2 (2017) - [j31]Jose L. Salmeron, Antonio Ruiz-Celma, Ángel Mena:
Learning FCMs with multi-local and balanced memetic algorithms for forecasting industrial drying processes. Neurocomputing 232: 52-57 (2017) - [j30]Jose L. Salmeron, Samira Abbasgholizadeh Rahimi, Amir Mohammad Navali, Alireza Sadeghpour:
Medical diagnosis of Rheumatoid Arthritis using data driven PSO-FCM with scarce datasets. Neurocomputing 232: 104-112 (2017) - 2016
- [j29]Jose L. Salmeron, Wojciech Froelich:
Dynamic optimization of fuzzy cognitive maps for time series forecasting. Knowl. Based Syst. 105: 29-37 (2016) - 2014
- [j28]Jose L. Salmeron, Elpiniki I. Papageorgiou:
Fuzzy grey cognitive maps and nonlinear Hebbian learning in process control. Appl. Intell. 41(1): 223-234 (2014) - [j27]Cristina López-Vargas, Jose L. Salmeron:
Modeling maintenance projects risk effects on ERP performance. Comput. Stand. Interfaces 36(3): 545-553 (2014) - [j26]Wojciech Froelich, Jose L. Salmeron:
Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time series. Int. J. Approx. Reason. 55(6): 1319-1335 (2014) - [j25]Cristina López-Vargas, Jose L. Salmeron:
Dynamic risks modelling in ERP maintenance projects with FCM. Inf. Sci. 256: 25-45 (2014) - [p2]Elpiniki I. Papageorgiou, Jose L. Salmeron:
Methods and Algorithms for Fuzzy Cognitive Map-based Modeling. Fuzzy Cognitive Maps for Applied Sciences and Engineering 2014: 1-28 - [p1]Jose L. Salmeron, Elpiniki I. Papageorgiou:
Using Fuzzy Grey Cognitive Maps for Industrial Processes Control. Fuzzy Cognitive Maps for Applied Sciences and Engineering 2014: 237-252 - 2013
- [j24]Elpiniki I. Papageorgiou, Jose L. Salmeron:
A Review of Fuzzy Cognitive Maps Research During the Last Decade. IEEE Trans. Fuzzy Syst. 21(1): 66-79 (2013) - 2012
- [j23]Jose L. Salmeron:
Fuzzy cognitive maps for artificial emotions forecasting. Appl. Soft Comput. 12(12): 3704-3710 (2012) - [j22]Jose L. Salmeron, Ester Gutiérrez:
Fuzzy Grey Cognitive Maps in reliability engineering. Appl. Soft Comput. 12(12): 3818-3824 (2012) - [j21]Jose L. Salmeron, Rosario Vidal, Ángel Mena:
Ranking fuzzy cognitive map based scenarios with TOPSIS. Expert Syst. Appl. 39(3): 2443-2450 (2012) - [j20]Elpiniki I. Papageorgiou, Jose L. Salmeron:
Learning Fuzzy Grey Cognitive Maps using Nonlinear Hebbian-based approach. Int. J. Approx. Reason. 53(1): 54-65 (2012) - [j19]Jose L. Salmeron, Elpiniki I. Papageorgiou:
A Fuzzy Grey Cognitive Maps-based Decision Support System for radiotherapy treatment planning. Knowl. Based Syst. 30: 151-160 (2012) - [j18]Jose L. Salmeron, Cristina López-Vargas:
Forecasting Risk Impact on ERP Maintenance with Augmented Fuzzy Cognitive Maps. IEEE Trans. Software Eng. 38(2): 439-452 (2012) - 2011
- [j17]Cristina López-Vargas, Jose L. Salmeron:
Exploring Risk Factors in ERP Maintenance Projects. Sci. J. Riga Tech. Univ. Ser. Comput. Sci. 43: 50-56 (2011) - [c3]Cristina López-Vargas, Jose L. Salmeron, Sebastián Lozano:
Software maintenance scenarios simulation with Fuzzy Cognitive Maps. FUZZ-IEEE 2011: 1810-1814 - [c2]Cristina López-Vargas, Jose L. Salmeron:
A Framework for Classifying Risks in ERP Maintenance Projects. ICE-B 2011: 201-204 - 2010
- [j16]Jose L. Salmeron:
Modelling grey uncertainty with Fuzzy Grey Cognitive Maps. Expert Syst. Appl. 37(12): 7581-7588 (2010) - [j15]Jose L. Salmeron, Cristina López-Vargas:
A multicriteria approach for risks assessment in ERP maintenance. J. Syst. Softw. 83(10): 1941-1953 (2010)
2000 – 2009
- 2009
- [j14]Salvador Bueno, Jose L. Salmeron:
Benchmarking main activation functions in fuzzy cognitive maps. Expert Syst. Appl. 36(3): 5221-5229 (2009) - [j13]Jose L. Salmeron:
Augmented fuzzy cognitive maps for modelling LMS critical success factors. Knowl. Based Syst. 22(4): 275-278 (2009) - [c1]Karel Mls, Jose L. Salmeron, Kamila Olsevicova, Martina Husáková:
Cognitive Personal Software Assistants within AmI Environment. AMIF 2009: 167-174 - 2008
- [j12]Salvador Bueno, Jose L. Salmeron:
Fuzzy modeling Enterprise Resource Planning tool selection. Comput. Stand. Interfaces 30(3): 137-147 (2008) - [j11]Salvador Bueno, Jose L. Salmeron:
TAM-based success modeling in ERP. Interact. Comput. 20(6): 515-523 (2008) - 2007
- [j10]Luis Rodriguez-Repiso, Rossitza Setchi, Jose L. Salmeron:
Modelling IT projects success with Fuzzy Cognitive Maps. Expert Syst. Appl. 32(2): 543-559 (2007) - [i3]Jose L. Salmeron, Florentin Smarandache:
Redesigning Decision Matrix Method with an indeterminacy-based inference process. CoRR abs/cs/0703060 (2007) - 2006
- [j9]Jose L. Salmeron, Salvador Bueno:
An information technologies and information systems industry-based classification in small and medium-sized enterprises: An institutional view. Eur. J. Oper. Res. 173(3): 1012-1025 (2006) - [j8]Jose L. Salmeron:
Management information systems: thoughts on research outlets. Ubiquity 2006(October) (2006) - [i2]Florentin Smarandache, Sukanto Bhattacharya, Mohammad Khoshnevisan, Housila P. Singh, Rajesh Singh, F. Kaymram, S. Malakar, Jose L. Salmeron:
Computational Modeling in Applied Problems: collected papers on econometrics, operations research, game theory and simulation. CoRR abs/cs/0605018 (2006) - 2005
- [j7]Ines Herrero, Jose L. Salmeron:
Using the DEA methodology to rank software technical efficiency. Commun. ACM 48(1): 101-105 (2005) - [j6]Jose L. Salmeron, Ines Herrero:
An AHP-based methodology to rank critical success factors of executive information systems. Comput. Stand. Interfaces 28(1): 1-12 (2005) - [j5]Sebastián Lozano, Jose L. Salmeron:
Data Envelopment Analysis of OR/MS journals. Scientometrics 64(2): 133-150 (2005) - [i1]Jose L. Salmeron, Florentin Smarandache:
Processing Uncertainty and Indeterminacy in Information Systems success mapping. CoRR abs/cs/0512047 (2005) - 2002
- [j4]Jose L. Salmeron:
EIS evolution in large Spanish businesses. Inf. Manag. 40(1): 41-50 (2002) - [j3]Jose L. Salmeron:
EIS profitability, costs and benefits: an evolutionary approach. Ind. Manag. Data Syst. 102(5): 284-288 (2002) - [j2]Jose L. Salmeron:
EIS data: findings from an evolutionary study. J. Syst. Softw. 64(2): 111-114 (2002) - 2001
- [j1]Jose L. Salmeron, Paula Luna Huertas, Francisco José Martínez:
Executive information systems in major companies: Spanish case study. Comput. Stand. Interfaces 23(3): 195-207 (2001)
Coauthor Index
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