Yamisleydi Salgueiro

38 papers Journal 35Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing quasi-nonlinear long-term cognitive networks with temporal attention for pattern classification. Neurocomputing Gonzalo Nápoles, Yamisleydi Salgueiro
2026	J	`jnl`	Sparseness-Optimized Feature Importance for Time Series Classification. IEEE Access Isel Grau, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2026	J	`jnl`	Sparseness-optimized feature importance with prior knowledge and reinforcement learning-powered optimization. Neurocomputing Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro
2025	J	`jnl`	A Review on Fuzzy Cognitive Mapping: Recent Advances and Algorithms. Big Data Cogn. Comput. Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro, Maikel León
2025	J	`jnl`	Classic Fuzzy Cognitive Maps Are Not Universal Approximators. IEEE Trans. Fuzzy Syst. Leonardo Concepción, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof
2025	J	`jnl`	Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis. IEEE Access Ava Mohammadi, Gonzalo Nápoles, Yamisleydi Salgueiro
2025	J	`jnl`	Estimating the limit state space of quasi-nonlinear Fuzzy Cognitive Maps. Appl. Soft Comput. Leonardo Concepción, Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro
2025	J	`jnl`	Inverse simulation learning of Quasi-Nonlinear Fuzzy Cognitive Maps. Neurocomputing Gonzalo Nápoles, Jose L. Salmeron, Yamisleydi Salgueiro
2025	J	`jnl`	Learning of Fuzzy Cognitive Map models without training data. Neurocomputing Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Yamisleydi Salgueiro, Koen Vanhoof
2025	J	`jnl`	Learning of Quasi-nonlinear Long-term Cognitive Networks using iterative numerical methods. Knowl. Based Syst. Gonzalo Nápoles, Yamisleydi Salgueiro
2025	J	`jnl`	Learning-based aggregation of Quasi-Nonlinear Fuzzy Cognitive Maps. Neurocomputing Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2025	J	`jnl`	Mitigating implicit and explicit bias in structured data without sacrificing accuracy in pattern classification. AI Soc. Fabian Hoitsma, Gonzalo Nápoles, Çiçek Güven, Yamisleydi Salgueiro
2024	J	`jnl`	A revised cognitive mapping methodology for modeling and simulation. Knowl. Based Syst. Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro
2024	J	`jnl`	Backpropagation through time learning for recurrence-aware long-term cognitive networks. Knowl. Based Syst. Gonzalo Nápoles, Agnieszka Jastrzebska, Isel Grau, Yamisleydi Salgueiro
2024	J	`jnl`	Forward Composition Propagation for Explainable Neural Reasoning. IEEE Comput. Intell. Mag. Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro, Agnieszka Jastrzebska
2023	J	`jnl`	Moving Microgrid Hierarchical Control to an SDN-Based Kubernetes Cluster: A Framework for Reliable and Flexible Energy Distribution. Sensors Ricardo Pérez, Marco Rivera, Yamisleydi Salgueiro, Carlos R. Baier, Patrick Wheeler
2023	J	`jnl`	On the interpretability of Fuzzy Cognitive Maps. Knowl. Based Syst. Gonzalo Nápoles, Nevena Rankovic, Yamisleydi Salgueiro
2023	J	`jnl`	Presumably correct decision sets. Pattern Recognit. Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2023	J	`jnl`	Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification. IEEE Trans. Cybern. Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau, Maikel León Espinosa
2022	J	`jnl`	Evaluating time series similarity using concept-based models. Knowl. Based Syst. Agnieszka Jastrzebska, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof
2022	J	`jnl`	Long short-term cognitive networks. Neural Comput. Appl. Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2022	J	`jnl`	Normalization method for quantitative and qualitative attributes in multiple attribute decision-making problems. Expert Syst. Appl. Julio Pena, Gonzalo Nápoles, Yamisleydi Salgueiro
2022	J	`jnl`	Online learning of windmill time series using Long Short-term Cognitive Networks. Expert Syst. Appl. Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof
2022	J	`jnl`	Which is the best model for my data? CoRR Gonzalo Nápoles, Isel Grau, Çiçek Güven, Orçun Özdemir, Yamisleydi Salgueiro
2021	J	`jnl`	Forward Composition Propagation for Explainable Neural Reasoning. CoRR Isel Grau, Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro
2021	J	`jnl`	Implicit and hybrid methods for attribute weighting in multi-attribute decision-making: a review study. Artif. Intell. Rev. Julio Pena, Gonzalo Nápoles, Yamisleydi Salgueiro
2021	J	`jnl`	Long Short-term Cognitive Networks. CoRR Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2021	J	`jnl`	Long-term Cognitive Network-based architecture for multi-label classification. Neural Networks Gonzalo Nápoles, Marilyn Bello, Yamisleydi Salgueiro
2021	J	`jnl`	Measuring Wind Turbine Health Using Drifting Concepts. CoRR Agnieszka Jastrzebska, Alejandro Morales Hernández, Gonzalo Nápoles, Yamisleydi Salgueiro, Koen Vanhoof
2021	J	`jnl`	Online learning of windmill time series using Long Short-term Cognitive Networks. CoRR Alejandro Morales Hernández, Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro, Koen Vanhoof
2021	J	`jnl`	Pattern classification with Evolving Long-term Cognitive Networks. Inf. Sci. Gonzalo Nápoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro
2021	J	`jnl`	Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification. CoRR Gonzalo Nápoles, Yamisleydi Salgueiro, Isel Grau, Maikel León Espinosa
2020	—	`conf`	Control Strategy and Communication Architecture for Power Sharing in Microgrids. ICIT Ricardo Enrique Pérez-Guzmán, Yamisleydi Salgueiro, Marco Rivera, Patrick W. Wheeler
2020	J	`jnl`	Explicit methods for attribute weighting in multi-attribute decision-making: a review study. Artif. Intell. Rev. Julio Pena, Gonzalo Nápoles, Yamisleydi Salgueiro
2020	J	`jnl`	Recommender system using Long-term Cognitive Networks. Knowl. Based Syst. Gonzalo Nápoles, Isel Grau, Yamisleydi Salgueiro
2019	—	`conf`	Multi-agent-Based Decision Support Systems in Smart Microgrids. KES-IDT (1) Yamisleydi Salgueiro, Marco Rivera, Gonzalo Nápoles
2019	—	`conf`	Selective Harmonic Elimination In Cascaded H-Bridge Multilevel Inverter Using Genetic Algorithm Approach. ICIT Mohammad Ali Hosseinzadeh, Maryam Sarbanzadeh, Yamisleydi Salgueiro, Marco Rivera, Patrick W. Wheeler
2017	J	`jnl`	Multiobjective variable mesh optimization. Ann. Oper. Res. Yamisleydi Salgueiro, Jorge L. Toro, Rafael Bello, Rafael Falcon

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.