Edwin Lughofer

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 120

Top Venues

Publications

Edwin Lughofer, Kurt Pichler
Data-driven prediction of possible quality deterioration in injection molding processes. Appl. Soft Comput. 150 (2024)
Paulo Vitor de Campos Souza, Edwin Lughofer
EFNC-Exp: An evolving fuzzy neural classifier integrating expert rules and uncertainty. Fuzzy Sets Syst. 466 (2023)
Edwin Lughofer, Mahardhika Pratama
Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects. Inf. Fusion 91 (2023)
Miha Ozbot, Edwin Lughofer, Igor Skrjanc
Evolving Neuro-Fuzzy Systems-Based Design of Experiments in Process Identification. IEEE Trans. Fuzzy Syst. 31 (6) (2023)
Khizar Hayat, Muhammad Saeed Raja, Edwin Lughofer, Naveed Yaqoob
New group-based generalized interval-valued q-rung orthopair fuzzy soft aggregation operators and their applications in sports decision-making problems. Comput. Appl. Math. 42 (1) (2023)
Edwin Lughofer, Igor Skrjanc
Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise. IEEE Trans. Fuzzy Syst. 31 (3) (2023)
Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko
Assessor-Guided Learning for Continual Environments. CoRR (2023)
Paulo Vitor de Campos Souza, Edwin Lughofer
Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback. Evol. Syst. 14 (2) (2023)
Muhammad Anwar Ma'sum, Mahardhika Pratama, Lin Liu, Edwin Lughofer, Habibullah, Ryszard Kowalczyk
Few-Shot Continual Learning via Flat-to-Wide Approaches. CoRR (2023)
Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko
Assessor-guided learning for continual environments. Inf. Sci. 640 (2023)
Paulo Vitor de Campos Souza, Edwin Lughofer
EFNN-Gen - a uni-nullneuron-based evolving fuzzy neural network with generalist rules. EAIS (2022)
Augusto Junio Guimarães, Paulo Vitor de Campos Souza, Huoston Rodrigues Batista, Edwin Lughofer
Evolving fuzzy neural network based on null-unineurons for the identification of coronary artery disease. SMC (2022)
Paulo Vitor de Campos Souza, Edwin Lughofer, Huoston Rodrigues Batista
An Explainable Evolving Fuzzy Neural Network to Predict the k Barriers for Intrusion Detection Using a Wireless Sensor Network. Sensors 22 (14) (2022)
Edwin Lughofer
Evolving multi-label fuzzy classifier. Inf. Sci. 597 (2022)
Edwin Lughofer, Mahardhika Pratama
Online sequential ensembling of predictive fuzzy systems. Evol. Syst. 13 (2) (2022)
Edwin Lughofer
Evolving multi-label fuzzy classifier with advanced robustness respecting human uncertainty. Knowl. Based Syst. 255 (2022)
Edwin Lughofer
Evolving multi-user fuzzy classifier systems integrating human uncertainty and expert knowledge. Inf. Sci. 596 (2022)
Paulo Vitor de Campos Souza, Edwin Lughofer
An interpretable uni-nullneuron-based evolving neuro-fuzzy network acting to identify Dry Beans. FUZZ-IEEE (2022)
Edwin Lughofer, Patrick Zorn, Edmund Marth
Transfer learning of fuzzy classifiers for optimized joint representation of simulated and measured data in anomaly detection of motor phase currents. Appl. Soft Comput. 124 (2022)
Paulo Vitor de Campos Souza, Edwin Lughofer
EFNN-NullUni: An evolving fuzzy neural network based on null-uninorm. Fuzzy Sets Syst. 449 (2022)
Paulo Vitor de Campos Souza, Edwin Lughofer
An advanced interpretable Fuzzy Neural Network model based on uni-nullneuron constructed from n-uninorms. Fuzzy Sets Syst. 426 (2022)
Mahardhika Pratama, Edwin Lughofer, Plamen P. Angelov
Editorial: Special issue on recent progress in autonomous machine learning. Inf. Sci. 595 (2022)
Paulo Vitor de Campos Souza, Edwin Lughofer
An Explainable Evolving Fuzzy Neural Network in Position Identification of Basketball Players. OLUD@WCCI (2022)
Edwin Lughofer
Evolving Multi-Label Fuzzy Classifier. CoRR (2022)
Paulo Vitor de Campos Souza, Edwin Lughofer
Online active learning for an evolving fuzzy neural classifier based on data density and specificity. Neurocomputing 512 (2022)
Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp
Autonomous Deep Quality Monitoring in Streaming Environments. IJCNN (2021)
Anil K. Verma, Aman Singh, Edwin Lughofer, Xiaochun Cheng, Khalid Abualsaud
Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education. J. Comput. High. Educ. 33 (3) (2021)
Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp
Autonomous Deep Quality Monitoring in Streaming Environments. CoRR (2021)
Paulo Vitor de Campos Souza, Edwin Lughofer
An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities. Neurocomputing 451 (2021)
Goran Andonovski, Edwin Lughofer, Igor Skrjanc
Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes. IEEE Access 9 (2021)
Alexandru-Ciprian Zavoianu, Edwin Lughofer, Robert Pollak, Christian Eitzinger, Thomas Radauer
A soft-computing framework for automated optimization of multiple product quality criteria with application to micro-fluidic chip production. Appl. Soft Comput. 98 (2021)
Paulo Vitor de Campos Souza, Edwin Lughofer, Augusto Junio Guimarães
Regularized neuro-fuzzy AI model to aid score management in Online distance learning forums. FUZZ-IEEE (2021)
Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc
Online bagging of evolving fuzzy systems. Inf. Sci. 570 (2021)
Edwin Lughofer
Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems. Inf. Sci. 545 (2021)
Paulo Vitor de Campos Souza, Augusto Junio Guimarães, Vanessa Souza Araujo, Edwin Lughofer
An intelligent Bayesian hybrid approach to help autism diagnosis. Soft Comput. 25 (14) (2021)
Khizar Hayat, Zalishta Tariq, Edwin Lughofer, M. Fahim Aslam
New aggregation operators on group-based generalized intuitionistic fuzzy soft sets. Soft Comput. 25 (21) (2021)
Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer
Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach. CSSL (2021)
Mahardhika Pratama, Choiru Za'in, Edwin Lughofer, Eric Pardede, Dwi A. P. Rahayu
Scalable teacher forcing network for semi-supervised large scale data streams. Inf. Sci. 576 (2021)
Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer
Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach. CoRR (2021)
José de Jesús Rubio, Edwin Lughofer, Jeff Pieper, Panuncio Cruz, Dany Ivan Martinez, Genaro Ochoa, Marco Antonio Islas, Enrique García
Adapting H-infinity controller for the desired reference tracking of the sphere position in the maglev process. Inf. Sci. 569 (2021)
Anil K. Verma, Aman Singh, Edwin Lughofer, Xiaochun Cheng, Khalid Abualsaud
Correction to: Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education. J. Comput. High. Educ. 33 (3) (2021)
Paulo Vitor de Campos Souza, Edwin Lughofer, Augusto Junio Guimarães
An interpretable evolving fuzzy neural network based on self-organized direction-aware data partitioning and fuzzy logic neurons. Appl. Soft Comput. 112 (2021)
Mahardhika Pratama, Choiru Za'in, Edwin Lughofer, Eric Pardede, Dwi A. P. Rahayu
Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams. CoRR (2021)
Augusto Junio Guimarães, Paulo Vitor de Campos Souza, Edwin Lughofer
Hybrid Model for Parkinson's Disease Prediction. IPMU (2) (2020)
Mu-Yen Chen, Chien Hsiang Liao, Edwin Lughofer, Erol Egrioglu
Informetrics on social network mining: research, policy and practice challenges. Libr. Hi Tech 38 (2) (2020)
Paulo Vitor de Campos Souza, Edwin Lughofer
Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network. Sensors 20 (22) (2020)
José de Jesús Rubio, Yongping Pan, Edwin Lughofer, Mu-Yen Chen, Jianbin Qiu
Fast learning of neural networks with application to big data processes. Neurocomputing 390 (2020)
Mu-Yen Chen, Hsiu-Sen Chiang, Edwin Lughofer, Erol Egrioglu
Deep learning: emerging trends, applications and research challenges. Soft Comput. 24 (11) (2020)
Edwin Lughofer
Variants of Recursive Consequent Parameters Learning in Evolving Neuro-Fuzzy Systems. EAIS (2020)
Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer
PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles. Inf. Sci. 512 (2020)
Mahardhika Pratama, Eric Dimla, Tegoeh Tjahjowidodo, Witold Pedrycz, Edwin Lughofer
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. IEEE Trans. Cybern. 50 (2) (2020)
Edwin Lughofer, Ramin Nikzad-Langerodi
Robust Generalized Fuzzy Systems Training From High-Dimensional Time-Series Data Using Local Structure Preserving PLS. IEEE Trans. Fuzzy Syst. 28 (11) (2020)
Werner Zellinger, Thomas Grubinger, Michael Zwick, Edwin Lughofer, Holger Schöner, Thomas Natschläger, Susanne Saminger-Platz
Multi-source transfer learning of time series in cyclical manufacturing. J. Intell. Manuf. 31 (3) (2020)
Choiru Za'in, Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Eric Pardede
Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems. EAIS (2020)
Paulo Vitor de Campos Souza, Yu-Kai Wang, Edwin Lughofer
Knowledge extraction about patients surviving breast cancer treatment through an autonomous fuzzy neural network. FUZZ-IEEE (2020)
Edwin Lughofer, Alexandru-Ciprian Zavoianu, Robert Pollak, Mahardhika Pratama, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Thomas Radauer
On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks. Inf. Sci. 537 (2020)
Goran Andonovski, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis, Edwin Lughofer, Igor Skrjanc
Detection of driver maneuvers using evolving fuzzy cloud-based system. SSCI (2020)
Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong
DEVDAN: Deep evolving denoising autoencoder. Neurocomputing 390 (2020)
Paulo Vitor de Campos Souza, Hiram Ponce, Edwin Lughofer
Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds. Knowl. Based Syst. 203 (2020)
Edwin Lughofer, Mahardhika Pratama
Online Sequential Ensembling of Fuzzy Systems. EAIS (2020)
Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CIKM (2019)
Amirreza Baghbanpourasl, Edwin Lughofer, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger
Virtual Quality control using bidirectional LSTM networks and gradient boosting. INDIN (2019)
Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
Robust unsupervised domain adaptation for neural networks via moment alignment. Inf. Sci. 483 (2019)
Thomas Weiler, Edwin Lughofer
Approximation of incoherent probabilities. Int. J. Approx. Reason. 105 (2019)
Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong
DEVDAN: Deep Evolving Denoising Autoencoder. CoRR (2019)
Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CoRR (2019)
Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer
Metacognitive learning approach for online tool condition monitoring. J. Intell. Manuf. 30 (4) (2019)
Igor Skrjanc, José Antonio Iglesias, Araceli Sanchis, Daniel F. Leite, Edwin Lughofer, Fernando A. C. Gomide
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. Inf. Sci. 490 (2019)
Igor Skrjanc, Saso Blazic, Edwin Lughofer, Dejan Dovzan
Inner matrix norms in evolving Cauchy possibilistic clustering for classification and regression from data streams. Inf. Sci. 478 (2019)
Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc
Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation. IEEE Trans. Fuzzy Syst. 26 (4) (2018)
Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR (2018)
Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer
Evolving Ensemble Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 26 (5) (2018)
Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Md Meftahul Ferdaus, Qing Cai, Mukesh Prasad
Big Data Analytics based on PANFIS MapReduce. INNS Conference on Big Data (2018)
José de Jesús Rubio, Edwin Lughofer, Plamen Angelov, Juan Francisco Novoa, Jesús A. Meda-Campaña
A novel algorithm for the modeling of complex processes. Kybernetika 54 (1) (2018)
Mu-Yen Chen, Edwin Lughofer
Data stream mining and soft computing applications. Appl. Soft Comput. 68 (2018)
Mahardhika Pratama, Edwin Lughofer, Suresh Sundaram, Moamar Sayed Mouchaweh, Igor Skrjanc, Fahed Mostafa
Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management. Appl. Soft Comput. 72 (2018)
Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer
PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles. CoRR (2018)
Edwin Lughofer
Self-adaptive forecast models in predictive maintenance systems. SYNASC (2018)
Gabriel Kronberger, Michael Kommenda, Edwin Lughofer, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller
Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. Appl. Soft Comput. 69 (2018)
Jianli Liu, Edwin Lughofer, Xianyi Zeng, Zhengxin Li
The Power of Visual Texture in Aesthetic Perception: An Exploration of the Predictability of Perceived Aesthetic Emotions. Comput. Intell. Neurosci. 2018 (2018)
Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Qing Cai, Huang Sheng
An Online RFID Localization in the Manufacturing Shopfloor. CoRR (2018)
José de Jesús Rubio, Edwin Lughofer, Jesús A. Meda-Campaña, Luis A. Páramo-Carranza, Juan Francisco Novoa, Jaime Pacheco
Neural network updating via argument Kalman filter for modeling of Takagi-Sugeno fuzzy models. J. Intell. Fuzzy Syst. 35 (2) (2018)
Alexandru-Ciprian Zavoianu, Susanne Saminger-Platz, Edwin Lughofer, Wolfgang Amrhein
Two enhancements for improving the convergence speed of a robust multi-objective coevolutionary algorithm. GECCO (2018)
Edwin Lughofer, Mahardhika Pratama
Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models. IEEE Trans. Fuzzy Syst. 26 (1) (2018)
Edwin Lughofer, Robert Pollak, Alexandru-Ciprian Zavoianu, Mahardhika Pratama, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Julia Haim, Thomas Radauer
Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality. Eng. Appl. Artif. Intell. 68 (2018)
Edwin Lughofer, Robert Pollak, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Jasmin Lehner, Thomas Radauer, Mahardhika Pratama
Evolving time-series based prediction models for quality criteria in a multi-stage production process. EAIS (2018)
Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er
Parsimonious random vector functional link network for data streams. Inf. Sci. 430 (2018)
Edwin Lughofer
On-line active learning: A new paradigm to improve practical useability of data stream modeling methods. Inf. Sci. 415 (2017)
Mahardhika Pratama, Edwin Lughofer, Dianhui Wang
Online real-time learning strategies for data streams for Neurocomputing. Neurocomputing 262 (2017)
Anthony Fleury, Edwin Lughofer, Moamar Sayed Mouchaweh
Editorial of the special issue: adaptive and intelligent systems (AIS) for learning, control and optimization in dynamic environments. Evol. Syst. 8 (4) (2017)
Edwin Lughofer, Stefan Kindermann, Mahardhika Pratama, José de Jesús Rubio
Top-Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage. Int. J. Fuzzy Syst. 19 (5) (2017)
Mahardhika Pratama, Eric Dimla, Edwin Lughofer, Witold Pedrycz, Tegoeh Tjahjowidodo
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. CoRR (2017)
Mu-Yen Chen, Edwin Lughofer, Neil Y. Yen, Chia-Chen Chen
Human behavior analysis for library and information science. Libr. Hi Tech 35 (4) (2017)
Edwin Lughofer, Roland Richter, Ulrich Neissl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer
Explaining classifier decisions linguistically for stimulating and improving operators labeling behavior. Inf. Sci. 420 (2017)
Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, Sreenatha G. Anavatti, Chee Peng Lim
Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network. Neurocomputing 262 (2017)
Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Meng Joo Er
An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 25 (5) (2017)
Edwin Lughofer, Robert Pollak, Alexandru-Ciprian Zavoianu, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Julia Haim, Thomas Radauer
Self-Adaptive Time-Series Based Forecast Models for Predicting Quality Criteria in Microfluidics Chip Production. CYBCONF (2017)
Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. CoRR (2017)
Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer
Evolving Ensemble Fuzzy Classifier. CoRR (2017)
Francisco Serdio, Edwin Lughofer, Alexandru-Ciprian Zavoianu, Kurt Pichler, Markus Pichler, Thomas Buchegger, Hajrudin Efendic
Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters. Appl. Soft Comput. 51 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Edwin Lughofer