Edwin Lughofer

235 papers A 2B 21C 7Misc 4Journal 144Unranked 51

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Few-Shot Continual Learning via Flat-to-Wide Approaches. IEEE Trans. Neural Networks Learn. Syst. Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Lin Liu, Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	Data-driven prediction of possible quality deterioration in injection molding processes. Appl. Soft Comput. Edwin Lughofer, Kurt Pichler
2024	J	`jnl`	Online Active Learning for Evolving Error Feedback Fuzzy Models Within a Multi-Innovation Context. IEEE Trans. Fuzzy Syst. Edwin Lughofer, Igor Skrjanc
2024	J	`jnl`	Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction. IEEE Trans. Emerg. Top. Comput. Intell. Edwin Lughofer, Igor Skrjanc
2023	J	`jnl`	Assessor-Guided Learning for Continual Environments. CoRR Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko
2023	J	`jnl`	Assessor-guided learning for continual environments. Inf. Sci. Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko
2023	J	`jnl`	EFNC-Exp: An evolving fuzzy neural classifier integrating expert rules and uncertainty. Fuzzy Sets Syst. Paulo Vitor de Campos Souza, Edwin Lughofer
2023	J	`jnl`	Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise. IEEE Trans. Fuzzy Syst. Edwin Lughofer, Igor Skrjanc
2023	J	`jnl`	Evolving Neuro-Fuzzy Systems-Based Design of Experiments in Process Identification. IEEE Trans. Fuzzy Syst. Miha Ozbot, Edwin Lughofer, Igor Skrjanc
2023	J	`jnl`	Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback. Evol. Syst. Paulo Vitor de Campos Souza, Edwin Lughofer
2023	J	`jnl`	Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects. Inf. Fusion Edwin Lughofer, Mahardhika Pratama
2023	J	`jnl`	Few-Shot Continual Learning via Flat-to-Wide Approaches. CoRR Muhammad Anwar Ma'sum, Mahardhika Pratama, Lin Liu, Edwin Lughofer, Habibullah, Ryszard Kowalczyk
2023	J	`jnl`	New group-based generalized interval-valued q-rung orthopair fuzzy soft aggregation operators and their applications in sports decision-making problems. Comput. Appl. Math. Khizar Hayat, Muhammad Saeed Raja, Edwin Lughofer, Naveed Yaqoob
2022	—	`conf`	An Explainable Evolving Fuzzy Neural Network in Position Identification of Basketball Players. OLUD@WCCI Paulo Vitor de Campos Souza, Edwin Lughofer
2022	J	`jnl`	An Explainable Evolving Fuzzy Neural Network to Predict the k Barriers for Intrusion Detection Using a Wireless Sensor Network. Sensors Paulo Vitor de Campos Souza, Edwin Lughofer, Huoston Rodrigues Batista
2022	J	`jnl`	An advanced interpretable Fuzzy Neural Network model based on uni-nullneuron constructed from n-uninorms. Fuzzy Sets Syst. Paulo Vitor de Campos Souza, Edwin Lughofer
2022	B	`conf`	An interpretable uni-nullneuron-based evolving neuro-fuzzy network acting to identify Dry Beans. FUZZ-IEEE Paulo Vitor de Campos Souza, Edwin Lughofer
2022	—	`conf`	EFNN-Gen - a uni-nullneuron-based evolving fuzzy neural network with generalist rules. EAIS Paulo Vitor de Campos Souza, Edwin Lughofer
2022	J	`jnl`	EFNN-NullUni: An evolving fuzzy neural network based on null-uninorm. Fuzzy Sets Syst. Paulo Vitor de Campos Souza, Edwin Lughofer
2022	J	`jnl`	Editorial: Special issue on recent progress in autonomous machine learning. Inf. Sci. Mahardhika Pratama, Edwin Lughofer, Plamen P. Angelov
2022	J	`jnl`	Evolving Multi-Label Fuzzy Classifier. CoRR Edwin Lughofer
2022	B	`conf`	Evolving fuzzy neural network based on null-unineurons for the identification of coronary artery disease. SMC Augusto Junio Guimarães, Paulo Vitor de Campos Souza, Huoston Rodrigues Batista, Edwin Lughofer
2022	J	`jnl`	Evolving multi-label fuzzy classifier with advanced robustness respecting human uncertainty. Knowl. Based Syst. Edwin Lughofer
2022	J	`jnl`	Evolving multi-label fuzzy classifier. Inf. Sci. Edwin Lughofer
2022	J	`jnl`	Evolving multi-user fuzzy classifier systems integrating human uncertainty and expert knowledge. Inf. Sci. Edwin Lughofer
2022	—	`ed.`	IEEE International Conference on Evolving and Adaptive Intelligent System, EAIS 2022, Larnaca, Cyprus, May 25-26, 2022 EAIS Plamen Angelov, George A. Papadopoulos, Giovanna Castellano, José A. Iglesias, Gabriella Casalino, Edwin Lughofer, Daniel Leite
2022	J	`jnl`	Online active learning for an evolving fuzzy neural classifier based on data density and specificity. Neurocomputing Paulo Vitor de Campos Souza, Edwin Lughofer
2022	J	`jnl`	Online sequential ensembling of predictive fuzzy systems. Evol. Syst. Edwin Lughofer, Mahardhika Pratama
2022	J	`jnl`	Transfer learning of fuzzy classifiers for optimized joint representation of simulated and measured data in anomaly detection of motor phase currents. Appl. Soft Comput. Edwin Lughofer, Patrick Zorn, Edmund Marth
2021	J	`jnl`	A soft-computing framework for automated optimization of multiple product quality criteria with application to micro-fluidic chip production. Appl. Soft Comput. Alexandru-Ciprian Zavoianu, Edwin Lughofer, Robert Pollak, Christian Eitzinger, Thomas Radauer
2021	J	`jnl`	Adapting H-infinity controller for the desired reference tracking of the sphere position in the maglev process. Inf. Sci. José de Jesús Rubio, Edwin Lughofer, Jeff Pieper, Panuncio Cruz, Dany Ivan Martinez, Genaro Ochoa, Marco Antonio Islas, Enrique García
2021	J	`jnl`	An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities. Neurocomputing Paulo Vitor de Campos Souza, Edwin Lughofer
2021	J	`jnl`	An intelligent Bayesian hybrid approach to help autism diagnosis. Soft Comput. Paulo Vitor de Campos Souza, Augusto Junio Guimarães, Vanessa Souza Araujo, Edwin Lughofer
2021	J	`jnl`	An interpretable evolving fuzzy neural network based on self-organized direction-aware data partitioning and fuzzy logic neurons. Appl. Soft Comput. Paulo Vitor de Campos Souza, Edwin Lughofer, Augusto Junio Guimarães
2021	B	`conf`	Autonomous Deep Quality Monitoring in Streaming Environments. IJCNN Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp
2021	J	`jnl`	Autonomous Deep Quality Monitoring in Streaming Environments. CoRR Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp
2021	J	`jnl`	Correction to: Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education. J. Comput. High. Educ. Anil Verma, Aman Singh, Edwin Lughofer, Xiaochun Cheng, Khalid Abualsaud
2021	J	`jnl`	Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes. IEEE Access Goran Andonovski, Edwin Lughofer, Igor Skrjanc
2021	—	`conf`	Evolving Fuzzy Neural Network Based on Uni-nullneuron to Identify Auction Fraud. IFSA/EUSFLAT/AGOP Paulo Vitor de Campos Souza, Edwin Lughofer, Augusto Junio Guimarães
2021	J	`jnl`	Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems. Inf. Sci. Edwin Lughofer
2021	J	`jnl`	Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education. J. Comput. High. Educ. Anil Verma, Aman Singh, Edwin Lughofer, Xiaochun Cheng, Khalid Abualsaud
2021	J	`jnl`	New aggregation operators on group-based generalized intuitionistic fuzzy soft sets. Soft Comput. Khizar Hayat, Zalishta Tariq, Edwin Lughofer, M. Fahim Aslam
2021	J	`jnl`	Online bagging of evolving fuzzy systems. Inf. Sci. Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc
2021	B	`conf`	Regularized neuro-fuzzy AI model to aid score management in Online distance learning forums. FUZZ-IEEE Paulo Vitor de Campos Souza, Edwin Lughofer, Augusto Junio Guimarães
2021	J	`jnl`	Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams. CoRR Mahardhika Pratama, Choiru Za'in, Edwin Lughofer, Eric Pardede, Dwi A. P. Rahayu
2021	J	`jnl`	Scalable teacher forcing network for semi-supervised large scale data streams. Inf. Sci. Mahardhika Pratama, Choiru Za'in, Edwin Lughofer, Eric Pardede, Dwi A. P. Rahayu
2021	J	`jnl`	Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach. CoRR Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer
2021	—	`conf`	Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach. CSSL Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer
2020	J	`jnl`	DEVDAN: Deep evolving denoising autoencoder. Neurocomputing Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong
2020	J	`jnl`	Deep learning: emerging trends, applications and research challenges. Soft Comput. Mu-Yen Chen, Hsiu-Sen Chiang, Edwin Lughofer, Erol Egrioglu
2020	—	`conf`	Detection of driver maneuvers using evolving fuzzy cloud-based system. SSCI Goran Andonovski, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis, Edwin Lughofer, Igor Skrjanc
2020	J	`jnl`	Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds. Knowl. Based Syst. Paulo Vitor de Campos Souza, Hiram Ponce, Edwin Lughofer
2020	J	`jnl`	Fast learning of neural networks with application to big data processes. Neurocomputing José de Jesús Rubio, Yongping Pan, Edwin Lughofer, Mu-Yen Chen, Jianbin Qiu
2020	—	`conf`	Hybrid Model for Parkinson's Disease Prediction. IPMU (2) Augusto Junio Guimarães, Paulo Vitor de Campos Souza, Edwin Lughofer
2020	J	`jnl`	Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network. Sensors Paulo Vitor de Campos Souza, Edwin Lughofer
2020	J	`jnl`	Informetrics on social network mining: research, policy and practice challenges. Libr. Hi Tech Mu-Yen Chen, Chien Hsiang Liao, Edwin Lughofer, Erol Egrioglu
2020	B	`conf`	Knowledge extraction about patients surviving breast cancer treatment through an autonomous fuzzy neural network. FUZZ-IEEE Paulo Vitor de Campos Souza, Yu-Kai Wang, Edwin Lughofer
2020	J	`jnl`	Multi-source transfer learning of time series in cyclical manufacturing. J. Intell. Manuf. Werner Zellinger, Thomas Grubinger, Michael Zwick, Edwin Lughofer, Holger Schöner, Thomas Natschläger, Susanne Saminger-Platz
2020	J	`jnl`	On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks. Inf. Sci. Edwin Lughofer, Alexandru-Ciprian Zavoianu, Robert Pollak, Mahardhika Pratama, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Thomas Radauer
2020	—	`conf`	Online Sequential Ensembling of Fuzzy Systems. EAIS Edwin Lughofer, Mahardhika Pratama
2020	J	`jnl`	Online Tool Condition Monitoring Based on Parsimonious Ensemble+. IEEE Trans. Cybern. Mahardhika Pratama, Eric Dimla, Tegoeh Tjahjowidodo, Witold Pedrycz, Edwin Lughofer
2020	J	`jnl`	PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles. Inf. Sci. Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer
2020	J	`jnl`	Robust Generalized Fuzzy Systems Training From High-Dimensional Time-Series Data Using Local Structure Preserving PLS. IEEE Trans. Fuzzy Syst. Edwin Lughofer, Ramin Nikzad-Langerodi
2020	—	`conf`	Scalable Teacher-Forcing Networks under Spark Environments for Large-Scale Streaming Problems. EAIS Choiru Za'in, Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Eric Pardede
2020	—	`conf`	Variants of Recursive Consequent Parameters Learning in Evolving Neuro-Fuzzy Systems. EAIS Edwin Lughofer
2019	A	`conf`	ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CIKM Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu
2019	J	`jnl`	ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CoRR Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu
2019	J	`jnl`	Approximation of incoherent probabilities. Int. J. Approx. Reason. Thomas Weiler, Edwin Lughofer
2019	J	`jnl`	DEVDAN: Deep Evolving Denoising Autoencoder. CoRR Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong
2019	J	`jnl`	Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. Inf. Sci. Igor Skrjanc, José Antonio Iglesias, Araceli Sanchis, Daniel F. Leite, Edwin Lughofer, Fernando A. C. Gomide
2019	J	`jnl`	Inner matrix norms in evolving Cauchy possibilistic clustering for classification and regression from data streams. Inf. Sci. Igor Skrjanc, Saso Blazic, Edwin Lughofer, Dejan Dovzan
2019	J	`jnl`	Metacognitive learning approach for online tool condition monitoring. J. Intell. Manuf. Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer
2019	J	`jnl`	Robust unsupervised domain adaptation for neural networks via moment alignment. Inf. Sci. Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
2019	C	`conf`	Virtual Quality control using bidirectional LSTM networks and gradient boosting. INDIN Amirreza Baghbanpourasl, Edwin Lughofer, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger
2018	C	`ed.`	17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018 ICMLA M. Arif Wani, Mehmed M. Kantardzic, Moamar Sayed-Mouchaweh, João Gama, Edwin Lughofer
2018	—	`ed.`	2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018, Rhodes, Greece, May 25-27, 2018 EAIS Plamen Angelov, Yannis Manolopoulos, Edwin Lughofer, Lazaros S. Iliadis
2018	J	`jnl`	A novel algorithm for the modeling of complex processes. Kybernetika José de Jesús Rubio, Edwin Lughofer, Plamen Angelov, Juan Francisco Novoa, Jesús A. Meda-Campaña
2018	J	`jnl`	An Online RFID Localization in the Manufacturing Shopfloor. CoRR Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Qing Cai, Sheng Huang
2018	J	`jnl`	Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer
2018	—	`conf`	Big Data Analytics based on PANFIS MapReduce. INNS Conference on Big Data Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Md Meftahul Ferdaus, Qing Cai, Mukesh Prasad
2018	J	`jnl`	Data stream mining and soft computing applications. Appl. Soft Comput. Mu-Yen Chen, Edwin Lughofer
2018	J	`jnl`	Editorial: Special issue on Advanced Soft Computing for Prognostic Health Management. Appl. Soft Comput. Mahardhika Pratama, Edwin Lughofer, Suresh Sundaram, Moamar Sayed-Mouchaweh, Igor Skrjanc, Fahed Mostafa
2018	J	`jnl`	Evolving Ensemble Fuzzy Classifier. IEEE Trans. Fuzzy Syst. Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer
2018	—	`conf`	Evolving time-series based prediction models for quality criteria in a multi-stage production process. EAIS Edwin Lughofer, Robert Pollak, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Jasmin Lehner, Thomas Radauer, Mahardhika Pratama
2018	J	`jnl`	Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation. IEEE Trans. Fuzzy Syst. Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc
2018	—	`ch.`	Model Explanation and Interpretation Concepts for Stimulating Advanced Human-Machine Interaction with "Expert-in-the-Loop". Human and Machine Learning Edwin Lughofer
2018	J	`jnl`	Neural network updating via argument Kalman filter for modeling of Takagi-Sugeno fuzzy models. J. Intell. Fuzzy Syst. José de Jesús Rubio, Edwin Lughofer, Jesús A. Meda-Campaña, Luis A. Páramo-Carranza, Juan Francisco Novoa, Jaime Pacheco
2018	J	`jnl`	Online Active Learning in Data Stream Regression Using Uncertainty Sampling Based on Evolving Generalized Fuzzy Models. IEEE Trans. Fuzzy Syst. Edwin Lughofer, Mahardhika Pratama
2018	J	`jnl`	PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles. CoRR Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer
2018	J	`jnl`	Parsimonious random vector functional link network for data streams. Inf. Sci. Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er
2018	J	`jnl`	Self-adaptive evolving forecast models with incremental PLS space updating for on-line prediction of micro-fluidic chip quality. Eng. Appl. Artif. Intell. Edwin Lughofer, Robert Pollak, Alexandru-Ciprian Zavoianu, Mahardhika Pratama, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Julia Haim, Thomas Radauer
2018	Misc	`conf`	Self-adaptive forecast models in predictive maintenance systems. SYNASC Edwin Lughofer
2018	J	`jnl`	The Power of Visual Texture in Aesthetic Perception: An Exploration of the Predictability of Perceived Aesthetic Emotions. Comput. Intell. Neurosci. Jianli Liu, Edwin Lughofer, Xianyi Zeng, Zhengxin Li
2018	A	`conf`	Two enhancements for improving the convergence speed of a robust multi-objective coevolutionary algorithm. GECCO Alexandru-Ciprian Zavoianu, Susanne Saminger-Platz, Edwin Lughofer, Wolfgang Amrhein
2018	J	`jnl`	Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. Appl. Soft Comput. Gabriel Kronberger, Michael Kommenda, Edwin Lughofer, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller
2017	B	`conf`	A randomized neural network for data streams. IJCNN Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim
2017	J	`jnl`	An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Meng Joo Er
2017	—	`conf`	Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. ICLR (Poster) Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
2017	J	`jnl`	Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. CoRR Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
2017	J	`jnl`	Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network. Neurocomputing Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, Sreenatha G. Anavatti, Chee Peng Lim
2017	J	`jnl`	Editorial of the special issue: adaptive and intelligent systems (AIS) for learning, control and optimization in dynamic environments. Evol. Syst. Anthony Fleury, Edwin Lughofer, Moamar Sayed-Mouchaweh
2017	J	`jnl`	Evolving Ensemble Fuzzy Classifier. CoRR Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer
2017	J	`jnl`	Evolving type-2 web news mining. Appl. Soft Comput. Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Sreenatha G. Anavatti
2017	J	`jnl`	Explaining classifier decisions linguistically for stimulating and improving operators labeling behavior. Inf. Sci. Edwin Lughofer, Roland Richter, Ulrich Neissl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer
2017	J	`jnl`	Human behavior analysis for library and information science. Libr. Hi Tech Mu-Yen Chen, Edwin Lughofer, Neil Y. Yen, Chia-Chen Chen
2017	J	`jnl`	Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters. Appl. Soft Comput. Francisco Serdio, Edwin Lughofer, Alexandru-Ciprian Zavoianu, Kurt Pichler, Markus Pichler, Thomas Buchegger, Hajrudin Efendic
2017	—	`conf`	Incremental rule splitting in generalized evolving fuzzy regression models. EAIS Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc
2017	J	`jnl`	Metacognitive Learning Approach for Online Tool Condition Monitoring. CoRR Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer
2017	J	`jnl`	Modeling and control with neural networks for a magnetic levitation system. Neurocomputing José de Jesús Rubio, Lixian Zhang, Edwin Lughofer, Panuncio Cruz, Ahmed Alsaedi, Tasawar Hayat
2017	—	`conf`	Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings. EUROCAST (1) Alexandru-Ciprian Zavoianu, Gerd Bramerdorfer, Edwin Lughofer, Susanne Saminger-Platz
2017	—	`conf`	Multi-objective knowledge-based strategy for process parameter optimization in Micro-fluidic chip production. SSCI Alexandru-Ciprian Zavoianu, Edwin Lughofer, Robert Pollak, Pauline Meyer-Heye, Christian Eitzinger, Thomas Radauer
2017	J	`jnl`	On-line active learning: A new paradigm to improve practical useability of data stream modeling methods. Inf. Sci. Edwin Lughofer
2017	J	`jnl`	Online Tool Condition Monitoring Based on Parsimonious Ensemble+. CoRR Mahardhika Pratama, Eric Dimla, Edwin Lughofer, Witold Pedrycz, Tegoeh Tjahjowidodo
2017	J	`jnl`	Online real-time learning strategies for data streams for Neurocomputing. Neurocomputing Mahardhika Pratama, Edwin Lughofer, Dianhui Wang
2017	J	`jnl`	Parsimonious Random Vector Functional Link Network for Data Streams. CoRR Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er
2017	J	`jnl`	Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment. CoRR Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
2017	—	`conf`	Self-Adaptive Time-Series Based Forecast Models for Predicting Quality Criteria in Microfluidics Chip Production. CYBCONF Edwin Lughofer, Robert Pollak, Alexandru-Ciprian Zavoianu, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger, Julia Haim, Thomas Radauer
2017	J	`jnl`	Top-Down Sparse Fuzzy Regression Modeling from Data with Improved Coverage. Int. J. Fuzzy Syst. Edwin Lughofer, Stefan Kindermann, Mahardhika Pratama, José de Jesús Rubio
2017	J	`jnl`	Toward Model Building for Visual Aesthetic Perception. Comput. Intell. Neurosci. Jianli Liu, Edwin Lughofer, Xianyi Zeng
2017	J	`jnl`	pClass+: A Novel Evolving Semi-Supervised Classifier. Int. J. Fuzzy Syst. Mahardhika Pratama, Edwin Lughofer, Chee Peng Lim, Wenny Rahayu, Tharam S. Dillon, Agus Budiyono
2016	—	`conf`	Advanced linguistic explanations of classifier decisions for users' annotation support. IEEE Conf. on Intelligent Systems Edwin Lughofer, Roland Richter, Ulrich Neissl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer
2016	J	`jnl`	An incremental meta-cognitive-based scaffolding fuzzy neural network. Neurocomputing Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, Edwin Lughofer, Chee Peng Lim
2016	B	`conf`	Evolving type-2 recurrent fuzzy neural network. IJCNN Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, J. Wenny Rahayu, Tharam S. Dillon
2016	—	`conf`	MapView: Graphical Data Representation for Active Learning. AL@iKNOW Eva Weigl, Alexander Walch, Ulrich Neissl, Pauline Meyer-Heye, Thomas Radauer, Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger
2016	J	`jnl`	On improving performance of surface inspection systems by online active learning and flexible classifier updates. Mach. Vis. Appl. Eva Weigl, Wolfgang Heidl, Edwin Lughofer, Thomas Radauer, Christian Eitzinger
2016	—	`ed.`	Proceedings of the Workshop on Active Learning: Applications, Foundations and Emerging Trends co-located with International Conference on Knowledge Technologies and Data-driven Business (i-KNOW 2016), Graz, Austria, October 18, 2016. AL@iKNOW Georg Krempl, Vincent Lemaire, Edwin Lughofer, Daniel Kottke
2016	J	`jnl`	Recognizing input space and target concept drifts in data streams with scarcely labeled and unlabelled instances. Inf. Sci. Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer
2016	—	`conf`	Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems. IJCCI (FCTA) Edwin Lughofer, Gabriel Kronberger, Michael Kommenda, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller
2016	J	`jnl`	Scaffolding type-2 classifier for incremental learning under concept drifts. Neurocomputing Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Sreenatha G. Anavatti
2015	Misc	`conf`	A Surrogate-Based Strategy for Multi-objective Tolerance Analysis in Electrical Machine Design. SYNASC Alexandru-Ciprian Zavoianu, Edwin Lughofer, Gerd Bramerdorfer, Wolfgang Amrhein, Susanne Saminger-Platz
2015	J	`jnl`	Adaptive and on-line learning in non-stationary environments. Evol. Syst. Edwin Lughofer, Moamar Sayed-Mouchaweh
2015	J	`jnl`	Aesthetic perception of visual textures: a holistic exploration using texture analysis, psychological experiment, and perception modeling. Frontiers Comput. Neurosci. Jianli Liu, Edwin Lughofer, Xianyi Zeng
2015	Misc	`conf`	Affective Property Computation of Visual Texture. ISKE Jianli Liu, Edwin Lughofer, Xianyi Zeng, Lei Wang
2015	J	`jnl`	Autonomous data stream clustering implementing split-and-merge concepts - Towards a plug-and-play approach. Inf. Sci. Edwin Lughofer, Moamar Sayed-Mouchaweh
2015	J	`jnl`	Could linear model bridge the gap between low-level statistical features and aesthetic emotions of visual textures? Neurocomputing Jianli Liu, Edwin Lughofer, Xianyi Zeng
2015	J	`jnl`	DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm. Soft Comput. Alexandru-Ciprian Zavoianu, Edwin Lughofer, Gerd Bramerdorfer, Wolfgang Amrhein, Erich-Peter Klement
2015	J	`jnl`	Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems. Int. J. Control Moamar Sayed-Mouchaweh, Edwin Lughofer
2015	J	`jnl`	Detecting cracks in reciprocating compressor valves using pattern recognition in the pV diagram. Pattern Anal. Appl. Kurt Pichler, Edwin Lughofer, Markus Pichler, Thomas Buchegger, Erich-Peter Klement, Matthias Huschenbett
2015	—	`conf`	Drift detection in data stream classification without fully labelled instances. EAIS Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer
2015	J	`jnl`	Editorial on the special issue "Hybrid and ensemble techniques in soft computing: recent advances and emerging trends". Soft Comput. Przemyslaw Kazienko, Edwin Lughofer, Bogdan Trawinski
2015	B	`conf`	Efficient sample selection in data stream regression employing evolving generalized fuzzy models. FUZZ-IEEE Edwin Lughofer
2015	—	`conf`	Evolving Fuzzy Systems - Fundamentals, Reliability, Interpretability, Useability and Applications. IJCCI (ECTA) Edwin Lughofer
2015	B	`conf`	Fast and economic integration of new classes on the fly in evolving fuzzy classifiers using class decomposition. FUZZ-IEEE Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer
2015	J	`jnl`	Fuzzy fault isolation using gradient information and quality criteria from system identification models. Inf. Sci. Francisco Serdio, Edwin Lughofer, Kurt Pichler, Markus Pichler, Thomas Buchegger, Hajrudin Efendic
2015	J	`jnl`	Generalized smart evolving fuzzy systems. Evol. Syst. Edwin Lughofer, Carlos Cernuda, Stefan Kindermann, Mahardhika Pratama
2015	J	`jnl`	Information fusion in smart living technology innovations. Inf. Fusion Mu-Yen Chen, Edwin Lughofer, Ken Sakamura
2015	J	`jnl`	Integrating new classes on the fly in evolving fuzzy classifier designs and their application in visual inspection. Appl. Soft Comput. Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer
2015	J	`jnl`	Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems. Knowl. Based Syst. Alexandru-Ciprian Zavoianu, Edwin Lughofer, Werner Koppelstätter, Günther Weidenholzer, Wolfgang Amrhein, Erich-Peter Klement
2015	—	`conf`	Preface. EAIS Moamar Sayed-Mouchaweh, Anthony Fleury, Plamen Angelov, Edwin Lughofer, José Antonio Iglesias
2015	J	`jnl`	pClass: An Effective Classifier for Streaming Examples. IEEE Trans. Fuzzy Syst. Mahardhika Pratama, Sreenatha G. Anavatti, Meng Joo Er, Edwin Lughofer
2014	B	`conf`	A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems. FUZZ-IEEE Mahardhika Pratama, Meng Joo Er, Sreenatha G. Anavatti, Edwin Lughofer, Ning Wang, Imam Arifin
2014	—	`conf`	An Incremental Classifier from Data Streams. SETN Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer
2014	C	`conf`	Dynamic Inclusion of New Event Types in Visual Inspection Using Evolving Classifiers. ICMLA Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Thomas Radauer
2014	J	`jnl`	Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations. Inf. Fusion Francisco Serdio, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Markus Pichler, Hajrudin Efendic
2014	J	`jnl`	GENEFIS: Toward an Effective Localist Network. IEEE Trans. Fuzzy Syst. Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer
2014	B	`conf`	Gradient-based fuzzy fault isolation in residual-based fault detection systems. FUZZ-IEEE Francisco Serdio, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Markus Pichler, Hajrudin Efendic
2014	—	`conf`	Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection. NaBIC Francisco Serdio, Alexandru-Ciprian Zavoianu, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Hajrudin Efendic
2014	B	`conf`	On the robustness of fault detection in reciprocating compressor valves. SMC Kurt Pichler, Markus Pichler, Thomas Buchegger, Edwin Lughofer, Erich-Peter Klement, Matthias Huschenbett
2014	J	`jnl`	PANFIS: A Novel Incremental Learning Machine. IEEE Trans. Neural Networks Learn. Syst. Mahardhika Pratama, Sreenatha G. Anavatti, Plamen P. Angelov, Edwin Lughofer
2014	J	`jnl`	Recent advances on evolving intelligent systems and applications. Evol. Syst. Fernando A. C. Gomide, Edwin Lughofer
2014	B	`conf`	Reducing false positives for residual-based on-line fault detection by means of filters. SMC Francisco Serdio, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Markus Pichler, Hajrudin Efendic
2014	J	`jnl`	Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills. Inf. Sci. Francisco Serdio, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Hajrudin Efendic
2014	J	`jnl`	Self-adaptive and local strategies for a smooth treatment of drifts in data streams. Evol. Syst. Ammar Shaker, Edwin Lughofer
2014	J	`jnl`	Special Issue: Evolving Soft Computing Techniques and Applications. Appl. Soft Comput. Abdelhamid Bouchachia, Edwin Lughofer, Moamar Sayed-Mouchaweh
2013	Misc	`conf`	An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-objective Evolutionary Algorithms. SYNASC Alexandru-Ciprian Zavoianu, Edwin Lughofer, Gerd Bramerdorfer, Wolfgang Amrhein, Erich-Peter Klement
2013	—	`conf`	Condition Monitoring at Rolling Mills with Data-Driven Residual-Based Fault Detection. MIM Francisco Serdio, Edwin Lughofer, Thomas Buchegger, Kurt Pichler, Hajrudin Efendic
2013	J	`jnl`	Data driven modeling based on dynamic parsimonious fuzzy neural network. Neurocomputing Mahardhika Pratama, Meng Joo Er, Xiang Li, Richard Jayadi Oentaryo, Edwin Lughofer, Imam Arifin
2013	—	`conf`	Detecting broken reciprocating compressor valves in the pV diagram. AIM Kurt Pichler, Edwin Lughofer, Markus Pichler, Thomas Buchegger, Erich-Peter Klement, Matthias Huschenbett
2013	J	`jnl`	Editorial of the special issue: Online fuzzy machine learning and data mining. Inf. Sci. Abdelhamid Bouchachia, Edwin Lughofer, Daniel Sánchez
2013	—	`conf`	Efficient Multi-Objective Optimization Using 2-Population Cooperative Coevolution. EUROCAST (1) Alexandru-Ciprian Zavoianu, Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement
2013	—	`conf`	Ensembled Self-Adaptive Fuzzy Calibration Models for On-line Cloud Point Prediction. EUSFLAT Conf. Carlos Cernuda, Edwin Lughofer, Peter Hintenaus, Wolfgang Märzinger, Thomas Reischer, Marcin Pawlicek, Jürgen Kasberger
2013	B	`conf`	Evolving fuzzy rule-based classifier based on GENEFIS. FUZZ-IEEE Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer
2013	—	`conf`	Generalized Flexible Fuzzy Inference Systems. ICMLA (2) Edwin Lughofer, Carlos Cernuda, Mahardhika Pratama
2013	J	`jnl`	Hybrid and Ensemble Methods in Machine Learning. J. Univers. Comput. Sci. Przemyslaw Kazienko, Edwin Lughofer, Bogdan Trawinski
2013	J	`jnl`	Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives. Eng. Appl. Artif. Intell. Alexandru-Ciprian Zavoianu, Gerd Bramerdorfer, Edwin Lughofer, Siegfried Silber, Wolfgang Amrhein, Erich-Peter Klement
2013	J	`jnl`	Machine learning based analysis of gender differences in visual inspection decision making. Inf. Sci. Wolfgang Heidl, Stefan Thumfart, Edwin Lughofer, Christian Eitzinger, Erich-Peter Klement
2013	—	`conf`	On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms. ICAISC (2) Alexandru-Ciprian Zavoianu, Edwin Lughofer, Werner Koppelstätter, Günther Weidenholzer, Wolfgang Amrhein, Erich-Peter Klement
2013	J	`jnl`	On-line assurance of interpretability criteria in evolving fuzzy systems - Achievements, new concepts and open issues. Inf. Sci. Edwin Lughofer
2013	—	`conf`	Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system. EAIS Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer
2013	J	`jnl`	Reliable All-Pairs Evolving Fuzzy Classifiers. IEEE Trans. Fuzzy Syst. Edwin Lughofer, Oliver Buchtala
2013	—	`conf`	Resolving global and local drifts in data stream regression using evolving rule-based models. EAIS Ammar Shaker, Edwin Lughofer
2013	J	`jnl`	Smart space technology innovations. Libr. Hi Tech Mu-Yen Chen, Edwin Lughofer
2013	—	`conf`	eVQ-AM: An extended dynamic version of evolving vector quantization. EAIS Edwin Lughofer
2012	—	`conf`	A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives. SOCO Alexandru-Ciprian Zavoianu, Gerd Bramerdorfer, Edwin Lughofer, Siegfried Silber, Wolfgang Amrhein, Erich-Peter Klement
2012	J	`jnl`	A dynamic split-and-merge approach for evolving cluster models. Evol. Syst. Edwin Lughofer
2012	—	`conf`	Dynamic Quantification of Process Parameters in Viscose Production with Evolving Fuzzy Systems. IPMU (1) Carlos Cernuda, Edwin Lughofer, Lisbeth Suppan, Thomas Röder, Roman Schmuck, Peter Hintenaus, Wolfgang Märzinger, Jürgen Kasberger
2012	J	`jnl`	Hybrid active learning for reducing the annotation effort of operators in classification systems. Pattern Recognit. Edwin Lughofer
2012	—	`conf`	Navigating Interpretability Issues in Evolving Fuzzy Systems. SUM Edwin Lughofer
2012	—	`conf`	On-line active learning based on enhanced reliability concepts. EAIS Edwin Lughofer
2012	J	`jnl`	Single-pass active learning with conflict and ignorance. Evol. Syst. Edwin Lughofer
2011	—	`conf`	All-Pairs Evolving Fuzzy Classifiers for On-line Multi-Class Classification Problems. EUSFLAT Conf. Edwin Lughofer
2011	—	`conf`	Dynamic Evolving Cluster Models Using On-line Split-and-Merge Operations. ICMLA (2) Edwin Lughofer
2011	—	`book`	Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications Edwin Lughofer
2011	J	`jnl`	Handling drifts and shifts in on-line data streams with evolving fuzzy systems. Appl. Soft Comput. Edwin Lughofer, Plamen Angelov
2011	J	`jnl`	Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems. Appl. Soft Comput. Edwin Lughofer, Vicente Macián, Carlos Guardiola, Erich-Peter Klement
2011	—	`conf`	Investigation of Evolving Fuzzy Systems Methods FLEXFIS and eTS on Predicting Residential Prices. WILF Bogdan Trawinski, Krzysztof Trawinski, Edwin Lughofer, Tadeusz Lasota
2011	J	`jnl`	Modeling human aesthetic perception of visual textures. ACM Trans. Appl. Percept. Stefan Thumfart, Richard H. A. H. Jacobs, Edwin Lughofer, Christian Eitzinger, Frans W. Cornelissen, Werner Groissboeck, Roland Richter
2011	J	`jnl`	On employing fuzzy modeling algorithms for the valuation of residential premises. Inf. Sci. Edwin Lughofer, Bogdan Trawinski, Krzysztof Trawinski, Olgierd Kempa, Tadeusz Lasota
2011	—	`conf`	On-Line Valuation of Residential Premises with Evolving Fuzzy Models. HAIS (1) Edwin Lughofer, Bogdan Trawinski, Krzysztof Trawinski, Tadeusz Lasota
2011	—	`conf`	On-line Redundancy Elimination in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure. EUSFLAT Conf. Edwin Lughofer, Eyke Hüllermeier
2011	J	`jnl`	On-line elimination of local redundancies in evolving fuzzy systems. Evol. Syst. Edwin Lughofer, Jean-Luc Bouchot, Ammar Shaker
2011	J	`jnl`	On-line incremental feature weighting in evolving fuzzy classifiers. Fuzzy Sets Syst. Edwin Lughofer
2010	J	`jnl`	Assessment of the influence of adaptive components in trainable surface inspection systems. Mach. Vis. Appl. Christian Eitzinger, Wolfgang Heidl, Edwin Lughofer, Stefan Raiser, Jim E. Smith, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel
2010	J	`jnl`	Associating visual textures with human perceptions using genetic algorithms. Inf. Sci. Werner Groissboeck, Edwin Lughofer, Stefan Thumfart
2010	B	`conf`	Classifier-based analysis of visual inspection: Gender differences in decision-making. SMC Wolfgang Heidl, Stefan Thumfart, Christian Eitzinger, Edwin Lughofer, Erich-Peter Klement
2010	—	`conf`	Data-Driven Design of Takagi-Sugeno Fuzzy Systems for Predicting NOx Emissions. IPMU (2) Edwin Lughofer, Vicente Macián, Carlos Guardiola, Erich-Peter Klement
2010	J	`jnl`	Impact of object extraction methods on classification performance in surface inspection systems. Mach. Vis. Appl. Stefan Raiser, Edwin Lughofer, Christian Eitzinger, James Edward Smith
2010	C	`conf`	On Dynamic Selection of the Most Informative Samples in Classification Problems. ICMLA Edwin Lughofer
2010	C	`conf`	On Dynamic Soft Dimension Reduction in Evolving Fuzzy Classifiers. IPMU Edwin Lughofer
2010	J	`jnl`	On-line evolving image classifiers and their application to surface inspection. Image Vis. Comput. Edwin Lughofer
2010	J	`jnl`	SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints. IEEE Trans. Fuzzy Syst. Edwin Lughofer, Stefan Kindermann
2010	J	`jnl`	Towards incremental classifier fusion. Intell. Data Anal. Davy Sannen, Edwin Lughofer, Hendrik Van Brussel
2009	—	`ch.`	Data-Driven and Knowledge-Based Modeling. Hagenberg Research Erich-Peter Klement, Edwin Lughofer, Johannes Himmelbauer, Bernhard Moser
2009	—	`conf`	Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems. IFSA/EUSFLAT Conf. Edwin Lughofer, Plamen Angelov
2009	J	`jnl`	Human-Machine Interaction Issues in Quality Control Based on Online Image Classification. IEEE Trans. Syst. Man Cybern. Part A Edwin Lughofer, James Edward Smith, Muhammad Atif Tahir, Praminda Caleb-Solly, Christian Eitzinger, Davy Sannen, Marnix Nuttin
2009	—	`conf`	Rule Weight Optimization and Feature Selection in Fuzzy Systems with Sparsity Contraints. IFSA/EUSFLAT Conf. Edwin Lughofer, Stefan Kindermann
2008	C	`conf`	An On-Line Interactive Self-adaptive Image Classification Framework. ICVS Davy Sannen, Marnix Nuttin, Jim E. Smith, Muhammad Atif Tahir, Praminda Caleb-Solly, Edwin Lughofer, Christian Eitzinger
2008	—	`conf`	Applying evolving fuzzy models with adaptive local error bars to on-line fault detection. GEFS Edwin Lughofer, Carlos Guardiola
2008	J	`jnl`	Data-driven evolving fuzzy systems using eTS and FLEXFIS: comparative analysis. Int. J. Gen. Syst. Plamen Angelov, Edwin Lughofer
2008	—	`conf`	Evolving Vector Quantization for Classification of On-Line Data Streams. CIMCA/IAWTIC/ISE Edwin Lughofer
2008	J	`jnl`	Evolving fuzzy classifiers using different model architectures. Fuzzy Sets Syst. Plamen Angelov, Edwin Lughofer, Xiaowei Zhou
2008	J	`jnl`	Extensions of vector quantization for incremental clustering. Pattern Recognit. Edwin Lughofer
2008	J	`jnl`	FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. Edwin Lughofer
2008	B	`conf`	Improving the robustness of data-driven fuzzy systems with regularization. FUZZ-IEEE Edwin Lughofer, Stefan Kindermann
2008	C	`conf`	Increasing Classification Robustness with Adaptive Features. ICVS Christian Eitzinger, Manfred Gmainer, Wolfgang Heidl, Edwin Lughofer
2008	—	`conf`	On Human-Machine Interaction during Online Image Classifier Training. CIMCA/IAWTIC/ISE Edwin Lughofer, Jim E. Smith, Praminda Caleb-Solly, Muhammad Atif Tahir, Christian Eitzinger, Davy Sannen, Hendrik Van Brussel
2008	—	`conf`	On Preprocessing Multi-channel Sensor Data for Online Process Monitoring. CIMCA/IAWTIC/ISE Holger Schöner, Bernhard Moser, Edwin Lughofer
2008	J	`jnl`	On-Line Fault Detection with Data-Driven Evolving Fuzzy Models. Control. Intell. Syst. Edwin Lughofer, Carlos Guardiola
2007	B	`conf`	Architectures for evolving fuzzy rule-based classifiers. SMC Plamen Angelov, Xiaowei Zhou, Dimitar P. Filev, Edwin Lughofer
2007	B	`conf`	Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class. FUZZ-IEEE Edwin Lughofer, Plamen Angelov, Xiaowei Zhou
2006	B	`conf`	Separated Antecedent and Consequent Learning for Takagi-Sugeno Fuzzy Systems. FUZZ-IEEE János Botzheim, Edwin Lughofer, Erich-Peter Klement, László T. Kóczy, Tom Gedeon
2005	B	`conf`	FLEXFIS: A Variant for Incremental Learning of Takagi-Sugeno Fuzzy Systems. FUZZ-IEEE Edwin Lughofer, Erich-Peter Klement
2005	—	`conf`	Improving the interpretability of data-driven evolving fuzzy systems. EUSFLAT Conf. Edwin Lughofer, Eyke Hüllermeier, Erich-Peter Klement
2004	B	`conf`	Premise parameter estimation and adaptation in fuzzy systems with open-loop clustering methods. FUZZ-IEEE Edwin Lughofer, Erich-Peter Klement
2003	—	`conf`	Filtering of dynamic measurements in intelligent sensors for fault detection based on data-driven models. CDC Edwin Lughofer, Hajrudin Efendic, Luigi del Re, Erich-Peter Klement