Executive information systems in major companies: Spanish case study. - Jose L. Salmeron; Paula Luna Huertas; Francisco José Martínez (Comput. Stand. Interfaces, 2001)

EIS evolution in large Spanish businesses. - Jose L. Salmeron (Inf. Manag., 2002)

EIS profitability, costs and benefits: an evolutionary approach. - Jose L. Salmeron (Ind. Manag. Data Syst., 2002)

EIS data: findings from an evolutionary study. - Jose L. Salmeron (J. Syst. Softw., 2002)

Using the DEA methodology to rank software technical efficiency. - Ines Herrero; Jose L. Salmeron (Commun. ACM, 2005)

Processing Uncertainty and Indeterminacy in Information Systems success mapping - Jose L. Salmeron; Florentin Smarandache (CoRR, 2005)

An AHP-based methodology to rank critical success factors of executive information systems. - Jose L. Salmeron; Ines Herrero (Comput. Stand. Interfaces, 2005)

Data Envelopment Analysis of OR/MS journals. - Sebastián Lozano 001; Jose L. Salmeron (Scientometrics, 2005)

Computational Modeling in Applied Problems: collected papers on econometrics, operations research, game theory and simulation - Florentin Smarandache; Sukanto Bhattacharya; Mohammad Khoshnevisan; Housila P. Singh; Rajesh Singh; F. Kaymram; S. Malakar; Jose L. Salmeron (CoRR, 2006)

An information technologies and information systems industry-based classification in small and medium-sized enterprises: An institutional view. - Jose L. Salmeron; Salvador Bueno (Eur. J. Oper. Res., 2006)

Management information systems: thoughts on research outlets. - Jose L. Salmeron (Ubiquity, 2006)

Redesigning Decision Matrix Method with an indeterminacy-based inference process - Jose L. Salmeron; Florentin Smarandache (CoRR, 2007)

Modelling IT projects success with Fuzzy Cognitive Maps. - Luis Rodriguez-Repiso; Rossitza Setchi; Jose L. Salmeron (Expert Syst. Appl., 2007)

Fuzzy modeling Enterprise Resource Planning tool selection. - Salvador Bueno; Jose L. Salmeron (Comput. Stand. Interfaces, 2008)

TAM-based success modeling in ERP. - Salvador Bueno; Jose L. Salmeron (Interact. Comput., 2008)

Cognitive Personal Software Assistants within AmI Environment. - Karel Mls; Jose L. Salmeron; Kamila Olsevicova; Martina Husáková (AMIF, 2009)

Benchmarking main activation functions in fuzzy cognitive maps. - Salvador Bueno; Jose L. Salmeron (Expert Syst. Appl., 2009)

Augmented fuzzy cognitive maps for modelling LMS critical success factors. - Jose L. Salmeron (Knowl. Based Syst., 2009)

Modelling grey uncertainty with Fuzzy Grey Cognitive Maps. - Jose L. Salmeron (Expert Syst. Appl., 2010)

A multicriteria approach for risks assessment in ERP maintenance. - Jose L. Salmeron; Cristina López-Vargas (J. Syst. Softw., 2010)

Software maintenance scenarios simulation with Fuzzy Cognitive Maps. - Cristina López-Vargas; Jose L. Salmeron; Sebastián Lozano 001 (FUZZ-IEEE, 2011)

A Framework for Classifying Risks in ERP Maintenance Projects. - Cristina López-Vargas; Jose L. Salmeron (ICE-B, 2011)

Exploring Risk Factors in ERP Maintenance Projects. - Cristina López-Vargas; Jose L. Salmeron (Sci. J. Riga Tech. Univ. Ser. Comput. Sci., 2011)

Fuzzy cognitive maps for artificial emotions forecasting. - Jose L. Salmeron (Appl. Soft Comput., 2012)

Fuzzy Grey Cognitive Maps in reliability engineering. - Jose L. Salmeron; Ester Gutiérrez (Appl. Soft Comput., 2012)

Ranking fuzzy cognitive map based scenarios with TOPSIS. - Jose L. Salmeron; Rosario Vidal; Ángel Mena (Expert Syst. Appl., 2012)

Learning Fuzzy Grey Cognitive Maps using Nonlinear Hebbian-based approach. - Elpiniki I. Papageorgiou; Jose L. Salmeron (Int. J. Approx. Reason., 2012)

A Fuzzy Grey Cognitive Maps-based Decision Support System for radiotherapy treatment planning. - Jose L. Salmeron; Elpiniki I. Papageorgiou (Knowl. Based Syst., 2012)

Forecasting Risk Impact on ERP Maintenance with Augmented Fuzzy Cognitive Maps. - Jose L. Salmeron; Cristina López-Vargas (IEEE Trans. Software Eng., 2012)

A Review of Fuzzy Cognitive Maps Research During the Last Decade. - Elpiniki I. Papageorgiou; Jose L. Salmeron (IEEE Trans. Fuzzy Syst., 2013)

Fuzzy grey cognitive maps and nonlinear Hebbian learning in process control. - Jose L. Salmeron; Elpiniki I. Papageorgiou (Appl. Intell., 2014)

Modeling maintenance projects risk effects on ERP performance. - Cristina López-Vargas; Jose L. Salmeron (Comput. Stand. Interfaces, 2014)

Evolutionary learning of fuzzy grey cognitive maps for the forecasting of multivariate, interval-valued time series. - Wojciech Froelich; Jose L. Salmeron (Int. J. Approx. Reason., 2014)

Dynamic risks modelling in ERP maintenance projects with FCM. - Cristina López-Vargas; Jose L. Salmeron (Inf. Sci., 2014)

Methods and Algorithms for Fuzzy Cognitive Map-based Modeling. - Elpiniki I. Papageorgiou; Jose L. Salmeron (Fuzzy Cognitive Maps for Applied Sciences and Engineering, 2014)

Using Fuzzy Grey Cognitive Maps for Industrial Processes Control. - Jose L. Salmeron; Elpiniki I. Papageorgiou (Fuzzy Cognitive Maps for Applied Sciences and Engineering, 2014)

Dynamic optimization of fuzzy cognitive maps for time series forecasting. - Jose L. Salmeron; Wojciech Froelich (Knowl. Based Syst., 2016)

Advances in fuzzy cognitive maps theory. - Wojciech Froelich; Jose L. Salmeron (Neurocomputing, 2017)

Learning FCMs with multi-local and balanced memetic algorithms for forecasting industrial drying processes. - Jose L. Salmeron; Antonio Ruiz-Celma; Ángel Mena (Neurocomputing, 2017)

Medical diagnosis of Rheumatoid Arthritis using data driven PSO-FCM with scarce datasets. - Jose L. Salmeron; Samira Abbasgholizadeh Rahimi; Amir Mohammad Navali; Alireza Sadeghpour (Neurocomputing, 2017)

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations. - Gonzalo Nápoles; Jose L. Salmeron; Wojciech Froelich; Rafael Falcon; Maikel León Espinosa; Frank Vanhoenshoven; Rafael Bello 001; Koen Vanhoof (KES-IDT (1), 2019)

Complexity in Forecasting and Predictive Models. - Jose L. Salmeron; Marisol B. Correia; Pedro R. Palos-Sanchez (Complex., 2019)

Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm. - Jose L. Salmeron; Taha Mansouri; Mohammad Reza Sadeghi Moghadam; Amirhosein Mardani (Knowl. Based Syst., 2019)

Uncertainty Propagation in Fuzzy Grey Cognitive Maps With Hebbian-Like Learning Algorithms. - Jose L. Salmeron; Pedro R. Palos-Sanchez (IEEE Trans. Cybern., 2019)

A Privacy-Preserving, Distributed and Cooperative FCM-Based Learning Approach for Cancer Research. - Jose L. Salmeron; Irina Arévalo (IJCRS, 2020)

Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting. - Frank Vanhoenshoven; Gonzalo Nápoles; Wojciech Froelich; Jose L. Salmeron; Koen Vanhoof (Appl. Soft Comput., 2020)

The heterogeneous vehicle routing problem with time windows and a limited number of resources. - Jose Carlos Molina; Jose L. Salmeron; Ignacio Eguia; Jesús Racero (Eng. Appl. Artif. Intell., 2020)

An ACS-based memetic algorithm for the heterogeneous vehicle routing problem with time windows. - Jose Carlos Molina; Jose L. Salmeron; Ignacio Eguia (Expert Syst. Appl., 2020)

LRP-Based path relevances for global explanation of deep architectures. - Ricardo Guerrero-Gómez-Olmedo; Jose L. Salmeron; Carlos Kuchkovsky Jimenez (Neurocomputing, 2020)

Construction and Supervised Learning of Long-Term Grey Cognitive Networks. - Gonzalo Nápoles; Jose L. Salmeron; Koen Vanhoof (IEEE Trans. Cybern., 2021)

Privacy-preserving distributed learning with chaotic maps. - Irina Arévalo; Jose L. Salmeron; Ivan Romero (EAIS, 2024)

Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data. - Jose L. Salmeron; Irina Arévalo; Antonio Ruiz-Celma (CoRR, 2024)

A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets. - Irina Arévalo; Jose L. Salmeron (IEEE Trans. Emerg. Top. Comput., 2024)

Blind Federated Learning without initial model. - Jose L. Salmeron; Irina Arévalo (J. Big Data, 2024)

Concurrent vertical and horizontal federated learning with fuzzy cognitive maps. - Jose L. Salmeron; Irina Arévalo (Future Gener. Comput. Syst., 2025)

Inverse simulation learning of Quasi-Nonlinear Fuzzy Cognitive Maps. - Gonzalo Nápoles; Jose L. Salmeron; Yamisleydi Salgueiro (Neurocomputing, 2025)