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ORCIDEdwin Lughofer
Edwin David Lughofer
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2020 – today
- 2024
[j128]Edwin Lughofer, Kurt Pichler:
Data-driven prediction of possible quality deterioration in injection molding processes. Appl. Soft Comput. 150: 111029 (2024)- [j127]Edwin Lughofer
, Igor Skrjanc:
Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3628-3642 (2024) - 2023
- [j126]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) - [j125]Paulo Vitor de Campos Souza, Edwin Lughofer:
Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback. Evol. Syst. 14(2): 319-341 (2023) - [j124]Paulo Vitor de Campos Souza, Edwin Lughofer:
EFNC-Exp: An evolving fuzzy neural classifier integrating expert rules and uncertainty. Fuzzy Sets Syst. 466: 108438 (2023) - [j123]Edwin Lughofer, Mahardhika Pratama:
Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects. Inf. Fusion 91: 458-476 (2023) - [j122]Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko:
Assessor-guided learning for continual environments. Inf. Sci. 640: 119088 (2023) - [j121]Edwin Lughofer, Igor Skrjanc:
Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise. IEEE Trans. Fuzzy Syst. 31(3): 997-1008 (2023) - [j120]Miha Ozbot, Edwin Lughofer, Igor Skrjanc:
Evolving Neuro-Fuzzy Systems-Based Design of Experiments in Process Identification. IEEE Trans. Fuzzy Syst. 31(6): 1995-2005 (2023) - [i17]Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko:
Assessor-Guided Learning for Continual Environments. CoRR abs/2303.11624 (2023) - [i16]Muhammad Anwar Ma'sum, Mahardhika Pratama, Lin Liu, Edwin Lughofer, Habibullah, Ryszard Kowalczyk:
Few-Shot Continual Learning via Flat-to-Wide Approaches. CoRR abs/2306.14369 (2023) - 2022
- [j119]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: 109013 (2022) - [j118]Mu-Yen Chen, Edwin David Lughofer, Erol Egrioglu:
Deep learning and intelligent system towards smart manufacturing. Enterp. Inf. Syst. 16(2): 189-192 (2022) - [j117]Edwin Lughofer, Mahardhika Pratama:
Online sequential ensembling of predictive fuzzy systems. Evol. Syst. 13(2): 361-386 (2022) - [j116]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: 1-26 (2022) - [j115]Paulo Vitor de Campos Souza, Edwin Lughofer:
EFNN-NullUni: An evolving fuzzy neural network based on null-uninorm. Fuzzy Sets Syst. 449: 1-31 (2022) - [j114]Paulo Vitor de Campos Souza, Edwin Lughofer:
Online active learning for an evolving fuzzy neural classifier based on data density and specificity. Neurocomputing 512: 269-286 (2022) - [j113]Mahardhika Pratama, Edwin Lughofer, Plamen P. Angelov:
Editorial: Special issue on recent progress in autonomous machine learning. Inf. Sci. 595: 195-196 (2022) - [j112]Edwin Lughofer:
Evolving multi-user fuzzy classifier systems integrating human uncertainty and expert knowledge. Inf. Sci. 596: 30-52 (2022) - [j111]Edwin Lughofer:
Evolving multi-label fuzzy classifier. Inf. Sci. 597: 1-23 (2022) - [j110]Edwin Lughofer:
Evolving multi-label fuzzy classifier with advanced robustness respecting human uncertainty. Knowl. Based Syst. 255: 109717 (2022) - [j109]Mu-Yen Chen, Chien Hsiang Liao, Edwin David Lughofer, Erol Egrioglu:
Editorial. Libr. Hi Tech 40(1): 1-2 (2022) - [j108]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): 5446 (2022) - [c83]Paulo Vitor de Campos Souza, Edwin Lughofer:
EFNN-Gen - a uni-nullneuron-based evolving fuzzy neural network with generalist rules. EAIS 2022: 1-10 - [c82]Paulo Vitor de Campos Souza, Edwin Lughofer:
An interpretable uni-nullneuron-based evolving neuro-fuzzy network acting to identify Dry Beans. FUZZ-IEEE 2022: 1-9 - [c81]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: 2681-2688 - [c80]Paulo Vitor de Campos Souza, Edwin Lughofer:
An Explainable Evolving Fuzzy Neural Network in Position Identification of Basketball Players. OLUD@WCCI 2022 - [e4]Plamen Angelov, George A. Papadopoulos, Giovanna Castellano, José A. Iglesias, Gabriella Casalino, Edwin Lughofer, Daniel Leite:
IEEE International Conference on Evolving and Adaptive Intelligent System, EAIS 2022, Larnaca, Cyprus, May 25-26, 2022. IEEE 2022, ISBN 978-1-6654-3706-6 [contents] - [i15]Edwin Lughofer:
Evolving Multi-Label Fuzzy Classifier. CoRR abs/2203.15318 (2022) - 2021
- [j107]Goran Andonovski, Edwin Lughofer, Igor Skrjanc:
Evolving Fuzzy Model Identification of Nonlinear Wiener-Hammerstein Processes. IEEE Access 9: 158470-158480 (2021) - [j106]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: 106827 (2021) - [j105]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: 107829 (2021) - [j104]Mu-Yen Chen, Edwin David Lughofer, Erol Egrioglu:
Cloud & fog computing: intelligent applications. Enterp. Inf. Syst. 15(9): 1197-1199 (2021) - [j103]Paulo Vitor de Campos Souza, Edwin Lughofer:
An evolving neuro-fuzzy system based on uni-nullneurons with advanced interpretability capabilities. Neurocomputing 451: 231-251 (2021) - [j102]Edwin Lughofer:
Improving the robustness of recursive consequent parameters learning in evolving neuro-fuzzy systems. Inf. Sci. 545: 555-574 (2021) - [j101]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: 669-686 (2021) - [j100]Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc:
Online bagging of evolving fuzzy systems. Inf. Sci. 570: 16-33 (2021) - [j99]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: 407-431 (2021) - [j98]Anil 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): 551-579 (2021) - [j97]Anil 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): 580 (2021) - [j96]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): 9163-9183 (2021) - [j95]Khizar Hayat, Zalishta Tariq, Edwin Lughofer, M. Fahim Aslam:
New aggregation operators on group-based generalized intuitionistic fuzzy soft sets. Soft Comput. 25(21): 13353-13364 (2021) - [c79]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: 1-8 - [c78]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp:
Autonomous Deep Quality Monitoring in Streaming Environments. IJCNN 2021: 1-8 - [c77]Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer:
Unsupervised Continual Learning via Self-adaptive Deep Clustering Approach. CSSL 2021: 48-61 - [i14]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Edward Kien Yee Yapp:
Autonomous Deep Quality Monitoring in Streaming Environments. CoRR abs/2106.13955 (2021) - [i13]Mahardhika Pratama, Andri Ashfahani, Edwin Lughofer:
Unsupervised Continual Learning via Self-Adaptive Deep Clustering Approach. CoRR abs/2106.14563 (2021) - [i12]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 abs/2107.02943 (2021) - 2020
- [j94]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: 294-296 (2020) - [j93]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep evolving denoising autoencoder. Neurocomputing 390: 297-314 (2020) - [j92]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: 481-505 (2020) - [j91]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: 425-451 (2020) - [j90]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): 777-787 (2020) - [j89]Paulo Vitor de Campos Souza, Hiram Ponce, Edwin Lughofer:
Evolving fuzzy neural hydrocarbon networks: A model based on organic compounds. Knowl. Based Syst. 203: 106099 (2020) - [j88]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): 273-275 (2020) - [j87]Paulo Vitor de Campos Souza, Edwin Lughofer:
Identification of Heart Sounds with an Interpretable Evolving Fuzzy Neural Network. Sensors 20(22): 6477 (2020) - [j86]Mu-Yen Chen, Hsiu-Sen Chiang, Edwin Lughofer, Erol Egrioglu:
Deep learning: emerging trends, applications and research challenges. Soft Comput. 24(11): 7835-7838 (2020) - [j85]Mahardhika Pratama, Eric Dimla, Tegoeh Tjahjowidodo, Witold Pedrycz, Edwin Lughofer:
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. IEEE Trans. Cybern. 50(2): 664-677 (2020) - [j84]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): 2930-2943 (2020) - [c76]Edwin Lughofer:
Variants of Recursive Consequent Parameters Learning in Evolving Neuro-Fuzzy Systems. EAIS 2020: 1-10 - [c75]Edwin Lughofer, Mahardhika Pratama:
Online Sequential Ensembling of Fuzzy Systems. EAIS 2020: 1-10 - [c74]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: 1-8 - [c73]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: 1-8 - [c72]Augusto Junio Guimarães, Paulo Vitor de Campos Souza, Edwin Lughofer:
Hybrid Model for Parkinson's Disease Prediction. IPMU (2) 2020: 621-634 - [c71]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: 700-706
2010 – 2019
- 2019
- [j83]Thomas Weiler, Edwin Lughofer:
Approximation of incoherent probabilities. Int. J. Approx. Reason. 105: 342-355 (2019) - [j82]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: 540-563 (2019) - [j81]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: 174-191 (2019) - [j80]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: 344-368 (2019) - [j79]Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer:
Metacognitive learning approach for online tool condition monitoring. J. Intell. Manuf. 30(4): 1717-1737 (2019) - [c70]Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu:
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CIKM 2019: 269-278 - [c69]Amirreza Baghbanpourasl, Edwin Lughofer, Pauline Meyer-Heye, Helmut Zörrer, Christian Eitzinger:
Virtual Quality control using bidirectional LSTM networks and gradient boosting. INDIN 2019: 1638-1643 - [i11]Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu:
ATL: Autonomous Knowledge Transfer from Many Streaming Processes. CoRR abs/1910.03434 (2019) - [i10]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep Evolving Denoising Autoencoder. CoRR abs/1910.04062 (2019) - 2018
- [j78]Mu-Yen Chen, Edwin Lughofer:
Data stream mining and soft computing applications. Appl. Soft Comput. 68: 667-668 (2018) - [j77]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: 610-624 (2018) - [j76]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: 552-554 (2018) - [j75]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: 1812980:1-1812980:8 (2018) - [j74]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: 131-151 (2018) - [j73]Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er:
Parsimonious random vector functional link network for data streams. Inf. Sci. 430: 519-537 (2018) - [j72]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): 2585-2596 (2018) - [j71]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): 79-95 (2018) - [j70]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): 292-309 (2018) - [j69]Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc:
Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation. IEEE Trans. Fuzzy Syst. 26(4): 1854-1865 (2018) - [j68]Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer:
Evolving Ensemble Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 26(5): 2552-2567 (2018) - [c68]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: 1-10 - [c67]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: 793-800 - [c66]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: 140-152 - [c65]Edwin Lughofer:
Self-adaptive forecast models in predictive maintenance systems. SYNASC 2018: 8 - [p2]Edwin Lughofer:
Model Explanation and Interpretation Concepts for Stimulating Advanced Human-Machine Interaction with "Expert-in-the-Loop". Human and Machine Learning 2018: 177-221 - [e3]Plamen Angelov, Yannis Manolopoulos, Edwin Lughofer, Lazaros S. Iliadis:
2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018, Rhodes, Greece, May 25-27, 2018. IEEE 2018, ISBN 978-1-5386-1376-4 [contents] - [e2]M. Arif Wani, Mehmed M. Kantardzic, Moamar Sayed Mouchaweh, João Gama, Edwin Lughofer:
17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018. IEEE 2018, ISBN 978-1-5386-6805-4 [contents] - [i9]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Qing Cai, Sheng Huang:
An Online RFID Localization in the Manufacturing Shopfloor. CoRR abs/1805.07715 (2018) - [i8]Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer:
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR abs/1809.09081 (2018) - [i7]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 abs/1811.03764 (2018) - 2017
- [j67]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: 60-82 (2017) - [j66]Choiru Za'in, Mahardhika Pratama, Edwin Lughofer, Sreenatha G. Anavatti:
Evolving type-2 web news mining. Appl. Soft Comput. 54: 200-220 (2017) - [j65]Jianli Liu, Edwin Lughofer, Xianyi Zeng:
Toward Model Building for Visual Aesthetic Perception. Comput. Intell. Neurosci. 2017: 1292801:1-1292801:13 (2017) - [j64]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): 317-319 (2017) - [j63]Mahardhika Pratama, Edwin Lughofer, Chee Peng Lim, Wenny Rahayu, Tharam S. Dillon, Agus Budiyono:
pClass+: A Novel Evolving Semi-Supervised Classifier. Int. J. Fuzzy Syst. 19(3): 863-880 (2017) - [j62]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): 1645-1658 (2017) - [j61]José de Jesús Rubio, Lixian Zhang, Edwin Lughofer, Panuncio Cruz, Ahmed Alsaedi, Tasawar Hayat:
Modeling and control with neural networks for a magnetic levitation system. Neurocomputing 227: 113-121 (2017) - [j60]Mahardhika Pratama, Edwin Lughofer, Dianhui Wang:
Online real-time learning strategies for data streams for Neurocomputing. Neurocomputing 262: 1-3 (2017) - [j59]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: 4-27 (2017) - [j58]Edwin Lughofer:
On-line active learning: A new paradigm to improve practical useability of data stream modeling methods. Inf. Sci. 415: 356-376 (2017) - [j57]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: 16-36 (2017) - [j56]Mu-Yen Chen, Edwin Lughofer, Neil Y. Yen, Chia-Chen Chen:
Human behavior analysis for library and information science. Libr. Hi Tech 35(4): 442-444 (2017) - [j55]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): 1175-1192 (2017) - [c64]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: 1-8 - [c63]Edwin Lughofer, Mahardhika Pratama, Igor Skrjanc:
Incremental rule splitting in generalized evolving fuzzy regression models. EAIS 2017: 1-8 - [c62]Alexandru-Ciprian Zavoianu, Gerd Bramerdorfer, Edwin Lughofer, Susanne Saminger-Platz:
Multi-objective Topology Optimization of Electrical Machine Designs Using Evolutionary Algorithms with Discrete and Real Encodings. EUROCAST (1) 2017: 331-338 - [c61]Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. ICLR (Poster) 2017 - [c60]Mahardhika Pratama, Plamen P. Angelov, Jie Lu, Edwin Lughofer, Manjeevan Seera, Chee Peng Lim:
A randomized neural network for data streams. IJCNN 2017: 3423-3430 - [c59]Alexandru-Ciprian Zavoianu, Edwin Lughofer, Robert Pollak, Pauline Meyer-Heye, Christian Eitzinger, Thomas Radauer:
Multi-objective knowledge-based strategy for process parameter optimization in Micro-fluidic chip production. SSCI 2017: 1-8 - [i6]Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. CoRR abs/1702.08811 (2017) - [i5]Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er:
Parsimonious Random Vector Functional Link Network for Data Streams. CoRR abs/1704.02789 (2017) - [i4]Mahardhika Pratama, Eric Dimla, Chow Yin Lai, Edwin Lughofer:
Metacognitive Learning Approach for Online Tool Condition Monitoring. CoRR abs/1705.02477 (2017) - [i3]Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer:
Evolving Ensemble Fuzzy Classifier. CoRR abs/1705.06460 (2017) - [i2]Mahardhika Pratama, Eric Dimla, Edwin Lughofer, Witold Pedrycz, Tegoeh Tjahjowidodo:
Online Tool Condition Monitoring Based on Parsimonious Ensemble+. CoRR abs/1711.01843 (2017) - [i1]Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment. CoRR abs/1711.06114 (2017) - 2016
- [j54]Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, Edwin Lughofer, Chee Peng Lim:
An incremental meta-cognitive-based scaffolding fuzzy neural network. Neurocomputing 171: 89-105 (2016) - [j53]Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Sreenatha G. Anavatti:
Scaffolding type-2 classifier for incremental learning under concept drifts. Neurocomputing 191: 304-329 (2016) - [j52]Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer:
Recognizing input space and target concept drifts in data streams with scarcely labeled and unlabelled instances. Inf. Sci. 355-356: 127-151 (2016) - [j51]Eva Weigl, Wolfgang Heidl, Edwin Lughofer, Thomas Radauer, Christian Eitzinger:
On improving performance of surface inspection systems by online active learning and flexible classifier updates. Mach. Vis. Appl. 27(1): 103-127 (2016) - [c58]Edwin Lughofer, Gabriel Kronberger, Michael Kommenda, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller:
Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems. IJCCI (FCTA) 2016: 51-63 - [c57]Mahardhika Pratama, Edwin Lughofer, Meng Joo Er, J. Wenny Rahayu, Tharam S. Dillon:
Evolving type-2 recurrent fuzzy neural network. IJCNN 2016: 1841-1848 - [c56]Eva Weigl, Alexander Walch, Ulrich Neissl, Pauline Meyer-Heye, Thomas Radauer, Edwin Lughofer, Wolfgang Heidl, Christian Eitzinger:
MapView: Graphical Data Representation for Active Learning. AL@iKNOW 2016: 3-8 - [c55]Edwin Lughofer, Roland Richter, Ulrich Neissl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer:
Advanced linguistic explanations of classifier decisions for users' annotation support. IEEE Conf. on Intelligent Systems 2016: 421-432 - [e1]Georg Krempl, Vincent Lemaire, Edwin Lughofer, Daniel Kottke:
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. CEUR Workshop Proceedings 1707, CEUR-WS.org 2016 [contents] - 2015
- [j50]Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer:
Integrating new classes on the fly in evolving fuzzy classifier designs and their application in visual inspection. Appl. Soft Comput. 35: 558-582 (2015) - [j49]Edwin Lughofer, Moamar Sayed Mouchaweh:
Adaptive and on-line learning in non-stationary environments. Evol. Syst. 6(2): 75-77 (2015) - [j48]Edwin Lughofer, Carlos Cernuda, Stefan Kindermann, Mahardhika Pratama:
Generalized smart evolving fuzzy systems. Evol. Syst. 6(4): 269-292 (2015) - [j47]Jianli Liu, Edwin Lughofer, Xianyi Zeng:
Aesthetic perception of visual textures: a holistic exploration using texture analysis, psychological experiment, and perception modeling. Frontiers Comput. Neurosci. 9: 134 (2015) - [j46]Moamar Sayed Mouchaweh, Edwin Lughofer:
Decentralized fault diagnosis approach without a global model for fault diagnosis of discrete event systems. Int. J. Control 88(11): 2228-2241 (2015) - [j45]Jianli Liu, Edwin Lughofer, Xianyi Zeng:
Could linear model bridge the gap between low-level statistical features and aesthetic emotions of visual textures? Neurocomputing 168: 947-960 (2015) - [j44]Mu-Yen Chen, Edwin Lughofer, Ken Sakamura:
Information fusion in smart living technology innovations. Inf. Fusion 21: 1-2 (2015) - [j43]Edwin Lughofer, Moamar Sayed Mouchaweh:
Autonomous data stream clustering implementing split-and-merge concepts - Towards a plug-and-play approach. Inf. Sci. 304: 54-79 (2015) - [j42]Francisco Serdio, Edwin Lughofer, Kurt Pichler, Markus Pichler, Thomas Buchegger, Hajrudin Efendic:
Fuzzy fault isolation using gradient information and quality criteria from system identification models. Inf. Sci. 316: 18-39 (2015) - [j41]Alexandru-Ciprian Zavoianu, Edwin Lughofer, Werner Koppelstätter, Günther Weidenholzer, Wolfgang Amrhein, Erich-Peter Klement:
Performance comparison of generational and steady-state asynchronous multi-objective evolutionary algorithms for computationally-intensive problems. Knowl. Based Syst. 87: 47-60 (2015) - [j40]Kurt Pichler, Edwin Lughofer, Markus Pichler, Thomas Buchegger, Erich-Peter Klement, Matthias Huschenbett:
Detecting cracks in reciprocating compressor valves using pattern recognition in the pV diagram. Pattern Anal. Appl. 18(2): 461-472 (2015) - [j39]Przemyslaw Kazienko, Edwin Lughofer, Bogdan Trawinski:
Editorial on the special issue "Hybrid and ensemble techniques in soft computing: recent advances and emerging trends". Soft Comput. 19(12): 3353-3355 (2015) - [j38]Alexandru-Ciprian Zavoianu, Edwin Lughofer, Gerd Bramerdorfer, Wolfgang Amrhein, Erich-Peter Klement:
DECMO2: a robust hybrid and adaptive multi-objective evolutionary algorithm. Soft Comput. 19(12): 3551-3569 (2015) - [j37]Mahardhika Pratama, Sreenatha G. Anavatti, Meng Joo Er, Edwin Lughofer:
pClass: An Effective Classifier for Streaming Examples. IEEE Trans. Fuzzy Syst. 23(2): 369-386 (2015) - [c54]Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer:
Drift detection in data stream classification without fully labelled instances. EAIS 2015: 1-8 - [c53]Moamar Sayed Mouchaweh, Anthony Fleury, Plamen Angelov, Edwin Lughofer, José Antonio Iglesias:
Preface. EAIS 2015: 1-2 - [c52]Edwin Lughofer:
Efficient sample selection in data stream regression employing evolving generalized fuzzy models. FUZZ-IEEE 2015: 1-9 - [c51]Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Christian Eitzinger, Thomas Radauer:
Fast and economic integration of new classes on the fly in evolving fuzzy classifiers using class decomposition. FUZZ-IEEE 2015: 1-8 - [c50]Edwin Lughofer:
Evolving Fuzzy Systems - Fundamentals, Reliability, Interpretability, Useability and Applications. IJCCI (ECTA) 2015: 11 - [c49]Jianli Liu, Edwin Lughofer, Xianyi Zeng, Lei Wang:
Affective Property Computation of Visual Texture. ISKE 2015: 52-57 - [c48]Alexandru-Ciprian Zavoianu, Edwin Lughofer, Gerd Bramerdorfer, Wolfgang Amrhein, Susanne Saminger-Platz:
A Surrogate-Based Strategy for Multi-objective Tolerance Analysis in Electrical Machine Design. SYNASC 2015: 195-203 - 2014
- [j36]Abdelhamid Bouchachia, Edwin Lughofer, Moamar Sayed Mouchaweh:
Special Issue: Evolving Soft Computing Techniques and Applications. Appl. Soft Comput. 14: 141-143 (2014) - [j35]Fernando A. C. Gomide, Edwin Lughofer:
Recent advances on evolving intelligent systems and applications. Evol. Syst. 5(4): 217-218 (2014) - [j34]Ammar Shaker, Edwin Lughofer:
Self-adaptive and local strategies for a smooth treatment of drifts in data streams. Evol. Syst. 5(4): 239-257 (2014) - [j33]Francisco Serdio, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Markus Pichler, Hajrudin Efendic:
Fault detection in multi-sensor networks based on multivariate time-series models and orthogonal transformations. Inf. Fusion 20: 272-291 (2014) - [j32]Francisco Serdio, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Hajrudin Efendic:
Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills. Inf. Sci. 259: 304-320 (2014) - [j31]Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer:
GENEFIS: Toward an Effective Localist Network. IEEE Trans. Fuzzy Syst. 22(3): 547-562 (2014) - [j30]Mahardhika Pratama, Sreenatha G. Anavatti, Plamen P. Angelov, Edwin Lughofer:
PANFIS: A Novel Incremental Learning Machine. IEEE Trans. Neural Networks Learn. Syst. 25(1): 55-68 (2014) - [c47]Mahardhika Pratama, Meng Joo Er, Sreenatha G. Anavatti, Edwin Lughofer, Ning Wang, Imam Arifin:
A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems. FUZZ-IEEE 2014: 369-376 - [c46]Francisco Serdio, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Markus Pichler, Hajrudin Efendic:
Gradient-based fuzzy fault isolation in residual-based fault detection systems. FUZZ-IEEE 2014: 1428-1435 - [c45]Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Thomas Radauer:
Dynamic Inclusion of New Event Types in Visual Inspection Using Evolving Classifiers. ICMLA 2014: 487-494 - [c44]Francisco Serdio, Alexandru-Ciprian Zavoianu, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Hajrudin Efendic:
Hybrid Genetic-Fuzzy Systems for improved performance in Residual-Based Fault Detection. NaBIC 2014: 91-96 - [c43]Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer:
An Incremental Classifier from Data Streams. SETN 2014: 15-28 - [c42]Kurt Pichler, Markus Pichler, Thomas Buchegger, Edwin Lughofer, Erich-Peter Klement, Matthias Huschenbett:
On the robustness of fault detection in reciprocating compressor valves. SMC 2014: 2733-2738 - [c41]Francisco Serdio, Edwin Lughofer, Kurt Pichler, Thomas Buchegger, Markus Pichler, Hajrudin Efendic:
Reducing false positives for residual-based on-line fault detection by means of filters. SMC 2014: 2745-2750 - 2013
- [j29]Alexandru-Ciprian Zavoianu, Gerd Bramerdorfer, Edwin Lughofer, Siegfried Silber, Wolfgang Amrhein, Erich-Peter Klement:
Hybridization of multi-objective evolutionary algorithms and artificial neural networks for optimizing the performance of electrical drives. Eng. Appl. Artif. Intell. 26(8): 1781-1794 (2013) - [j28]Mahardhika Pratama, Meng Joo Er, Xiang Li, Richard Jayadi Oentaryo, Edwin Lughofer, Imam Arifin:
Data driven modeling based on dynamic parsimonious fuzzy neural network. Neurocomputing 110: 18-28 (2013) - [j27]Abdelhamid Bouchachia, Edwin Lughofer, Daniel Sánchez:
Editorial of the special issue: Online fuzzy machine learning and data mining. Inf. Sci. 220: 1-4 (2013) - [j26]Wolfgang Heidl, Stefan Thumfart, Edwin Lughofer, Christian Eitzinger, Erich-Peter Klement:
Machine learning based analysis of gender differences in visual inspection decision making. Inf. Sci. 224: 62-76 (2013) - [j25]Edwin Lughofer:
On-line assurance of interpretability criteria in evolving fuzzy systems - Achievements, new concepts and open issues. Inf. Sci. 251: 22-46 (2013) - [j24]Przemyslaw Kazienko, Edwin Lughofer, Bogdan Trawinski:
Hybrid and Ensemble Methods in Machine Learning. J. Univers. Comput. Sci. 19(4): 457-461 (2013) - [j23]Mu-Yen Chen, Edwin Lughofer:
Smart space technology innovations. Libr. Hi Tech 31(2): 197-200 (2013) - [j22]Edwin Lughofer, Oliver Buchtala:
Reliable All-Pairs Evolving Fuzzy Classifiers. IEEE Trans. Fuzzy Syst. 21(4): 625-641 (2013) - [c40]Kurt Pichler, Edwin Lughofer, Markus Pichler, Thomas Buchegger, Erich-Peter Klement, Matthias Huschenbett:
Detecting broken reciprocating compressor valves in the pV diagram. AIM 2013: 1625-1630 - [c39]Ammar Shaker, Edwin Lughofer:
Resolving global and local drifts in data stream regression using evolving rule-based models. EAIS 2013: 9-16 - [c38]Edwin Lughofer:
eVQ-AM: An extended dynamic version of evolving vector quantization. EAIS 2013: 40-47 - [c37]Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer:
Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system. EAIS 2013: 106-113 - [c36]Alexandru-Ciprian Zavoianu, Edwin Lughofer, Wolfgang Amrhein, Erich-Peter Klement:
Efficient Multi-Objective Optimization Using 2-Population Cooperative Coevolution. EUROCAST (1) 2013: 251-258 - [c35]Carlos Cernuda, Edwin Lughofer, Peter Hintenaus, Wolfgang Märzinger, Thomas Reischer, Marcin Pawlicek, Jürgen Kasberger:
Ensembled Self-Adaptive Fuzzy Calibration Models for On-line Cloud Point Prediction. EUSFLAT Conf. 2013 - [c34]Mahardhika Pratama, Sreenatha G. Anavatti, Edwin Lughofer:
Evolving fuzzy rule-based classifier based on GENEFIS. FUZZ-IEEE 2013: 1-8 - [c33]Alexandru-Ciprian Zavoianu, Edwin Lughofer, Werner Koppelstätter, Günther Weidenholzer, Wolfgang Amrhein, Erich-Peter Klement:
On the Performance of Master-Slave Parallelization Methods for Multi-Objective Evolutionary Algorithms. ICAISC (2) 2013: 122-134 - [c32]Edwin Lughofer, Carlos Cernuda, Mahardhika Pratama:
Generalized Flexible Fuzzy Inference Systems. ICMLA (2) 2013: 1-7 - [c31]Francisco Serdio, Edwin Lughofer, Thomas Buchegger, Kurt Pichler, Hajrudin Efendic:
Condition Monitoring at Rolling Mills with Data-Driven Residual-Based Fault Detection. MIM 2013: 1530-1535 - [c30]Alexandru-Ciprian Zavoianu, Edwin Lughofer, Gerd Bramerdorfer, Wolfgang Amrhein, Erich-Peter Klement:
An Effective Ensemble-Based Method for Creating On-the-Fly Surrogate Fitness Functions for Multi-objective Evolutionary Algorithms. SYNASC 2013: 235-242 - 2012
- [j21]Edwin Lughofer:
A dynamic split-and-merge approach for evolving cluster models. Evol. Syst. 3(3): 135-151 (2012) - [j20]Edwin Lughofer:
Single-pass active learning with conflict and ignorance. Evol. Syst. 3(4): 251-271 (2012) - [j19]Edwin Lughofer:
Hybrid active learning for reducing the annotation effort of operators in classification systems. Pattern Recognit. 45(2): 884-896 (2012) - [c29]Edwin Lughofer:
On-line active learning based on enhanced reliability concepts. EAIS 2012: 1-6 - [c28]Carlos Cernuda, Edwin Lughofer, Lisbeth Suppan, Thomas Röder, Roman Schmuck, Peter Hintenaus, Wolfgang Märzinger, Jürgen Kasberger:
Dynamic Quantification of Process Parameters in Viscose Production with Evolving Fuzzy Systems. IPMU (1) 2012: 1-10 - [c27]Alexandru-Ciprian Zavoianu, Gerd Bramerdorfer, Edwin Lughofer, Siegfried Silber, Wolfgang Amrhein, Erich-Peter Klement:
A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives. SOCO 2012: 347-358 - [c26]Edwin Lughofer:
Navigating Interpretability Issues in Evolving Fuzzy Systems. SUM 2012: 141-153 - 2011
- [b1]Edwin Lughofer:
Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications. Studies in Fuzziness and Soft Computing 266, Springer 2011, ISBN 978-3-642-18086-6, pp. 1-410 - [j18]Edwin Lughofer, Plamen Angelov:
Handling drifts and shifts in on-line data streams with evolving fuzzy systems. Appl. Soft Comput. 11(2): 2057-2068 (2011) - [j17]Edwin Lughofer, Vicente Macián, Carlos Guardiola, Erich-Peter Klement:
Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems. Appl. Soft Comput. 11(2): 2487-2500 (2011) - [j16]Edwin Lughofer, Jean-Luc Bouchot, Ammar Shaker:
On-line elimination of local redundancies in evolving fuzzy systems. Evol. Syst. 2(3): 165-187 (2011) - [j15]Edwin Lughofer:
On-line incremental feature weighting in evolving fuzzy classifiers. Fuzzy Sets Syst. 163(1): 1-23 (2011) - [j14]Edwin Lughofer, Bogdan Trawinski, Krzysztof Trawinski, Olgierd Kempa, Tadeusz Lasota:
On employing fuzzy modeling algorithms for the valuation of residential premises. Inf. Sci. 181(23): 5123-5142 (2011) - [j13]Stefan Thumfart, Richard H. A. H. Jacobs, Edwin Lughofer, Christian Eitzinger, Frans W. Cornelissen, Werner Groissboeck, Roland Richter:
Modeling human aesthetic perception of visual textures. ACM Trans. Appl. Percept. 8(4): 27:1-27:29 (2011) - [c25]Edwin Lughofer:
All-Pairs Evolving Fuzzy Classifiers for On-line Multi-Class Classification Problems. EUSFLAT Conf. 2011: 372-379 - [c24]Edwin Lughofer, Eyke Hüllermeier:
On-line Redundancy Elimination in Evolving Fuzzy Regression Models using a Fuzzy Inclusion Measure. EUSFLAT Conf. 2011: 380-387 - [c23]Edwin Lughofer, Bogdan Trawinski, Krzysztof Trawinski, Tadeusz Lasota:
On-Line Valuation of Residential Premises with Evolving Fuzzy Models. HAIS (1) 2011: 107-115 - [c22]Edwin Lughofer:
Dynamic Evolving Cluster Models Using On-line Split-and-Merge Operations. ICMLA (2) 2011: 20-26 - [c21]Bogdan Trawinski, Krzysztof Trawinski, Edwin Lughofer, Tadeusz Lasota:
Investigation of Evolving Fuzzy Systems Methods FLEXFIS and eTS on Predicting Residential Prices. WILF 2011: 123-130 - 2010
- [j12]Davy Sannen, Edwin Lughofer, Hendrik Van Brussel:
Towards incremental classifier fusion. Intell. Data Anal. 14(1): 3-30 (2010) - [j11]Werner Groissboeck, Edwin Lughofer, Stefan Thumfart:
Associating visual textures with human perceptions using genetic algorithms. Inf. Sci. 180(11): 2065-2084 (2010) - [j10]Edwin Lughofer:
On-line evolving image classifiers and their application to surface inspection. Image Vis. Comput. 28(7): 1065-1079 (2010) - [j9]Christian Eitzinger, Wolfgang Heidl, Edwin Lughofer, Stefan Raiser, Jim E. Smith, Muhammad Atif Tahir, Davy Sannen, Hendrik Van Brussel:
Assessment of the influence of adaptive components in trainable surface inspection systems. Mach. Vis. Appl. 21(5): 613-626 (2010) - [j8]Stefan Raiser, Edwin Lughofer, Christian Eitzinger, James Edward Smith:
Impact of object extraction methods on classification performance in surface inspection systems. Mach. Vis. Appl. 21(5): 627-641 (2010) - [j7]Edwin Lughofer, Stefan Kindermann:
SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints. IEEE Trans. Fuzzy Syst. 18(2): 396-411 (2010) - [c20]Edwin Lughofer:
On Dynamic Selection of the Most Informative Samples in Classification Problems. ICMLA 2010: 573-579 - [c19]Edwin Lughofer, Vicente Macián, Carlos Guardiola, Erich-Peter Klement:
Data-Driven Design of Takagi-Sugeno Fuzzy Systems for Predicting NOx Emissions. IPMU (2) 2010: 1-10 - [c18]Edwin Lughofer:
On Dynamic Soft Dimension Reduction in Evolving Fuzzy Classifiers. IPMU 2010: 79-88 - [c17]Wolfgang Heidl, Stefan Thumfart, Christian Eitzinger, Edwin Lughofer, Erich-Peter Klement:
Classifier-based analysis of visual inspection: Gender differences in decision-making. SMC 2010: 113-120
2000 – 2009
- 2009
- [j6]Edwin Lughofer, James Edward Smith, Muhammad Atif Tahir, Praminda Caleb-Solly, Christian Eitzinger, Davy Sannen, Marnix Nuttin:
Human-Machine Interaction Issues in Quality Control Based on Online Image Classification. IEEE Trans. Syst. Man Cybern. Part A 39(5): 960-971 (2009) - [c16]Edwin Lughofer, Plamen Angelov:
Detecting and Reacting on Drifts and Shifts in On-Line Data Streams with Evolving Fuzzy Systems. IFSA/EUSFLAT Conf. 2009: 931-937 - [c15]Edwin Lughofer, Stefan Kindermann:
Rule Weight Optimization and Feature Selection in Fuzzy Systems with Sparsity Contraints. IFSA/EUSFLAT Conf. 2009: 950-956 - [p1]Erich-Peter Klement, Edwin Lughofer, Johannes Himmelbauer, Bernhard Moser:
Data-Driven and Knowledge-Based Modeling. Hagenberg Research 2009: 237-279 - 2008
- [j5]Edwin Lughofer, Carlos Guardiola:
On-Line Fault Detection with Data-Driven Evolving Fuzzy Models. Control. Intell. Syst. 36(4) (2008) - [j4]Plamen Angelov, Edwin Lughofer, Xiaowei Zhou:
Evolving fuzzy classifiers using different model architectures. Fuzzy Sets Syst. 159(23): 3160-3182 (2008) - [j3]Plamen Angelov, Edwin Lughofer:
Data-driven evolving fuzzy systems using eTS and FLEXFIS: comparative analysis. Int. J. Gen. Syst. 37(1): 45-67 (2008) - [j2]Edwin Lughofer:
Extensions of vector quantization for incremental clustering. Pattern Recognit. 41(3): 995-1011 (2008) - [j1]Edwin Lughofer:
FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 16(6): 1393-1410 (2008) - [c14]Holger Schöner, Bernhard Moser, Edwin Lughofer:
On Preprocessing Multi-channel Sensor Data for Online Process Monitoring. CIMCA/IAWTIC/ISE 2008: 414-419 - [c13]Edwin Lughofer:
Evolving Vector Quantization for Classification of On-Line Data Streams. CIMCA/IAWTIC/ISE 2008: 779-784 - [c12]Edwin Lughofer, Jim E. Smith, Praminda Caleb-Solly, Muhammad Atif Tahir, Christian Eitzinger, Davy Sannen, Hendrik Van Brussel:
On Human-Machine Interaction during Online Image Classifier Training. CIMCA/IAWTIC/ISE 2008: 1005-1010 - [c11]Edwin Lughofer, Stefan Kindermann:
Improving the robustness of data-driven fuzzy systems with regularization. FUZZ-IEEE 2008: 703-709 - [c10]Edwin Lughofer, Carlos Guardiola:
Applying evolving fuzzy models with adaptive local error bars to on-line fault detection. GEFS 2008: 35-40 - [c9]Davy Sannen, Marnix Nuttin, Jim E. Smith, Muhammad Atif Tahir, Praminda Caleb-Solly, Edwin Lughofer, Christian Eitzinger:
An On-Line Interactive Self-adaptive Image Classification Framework. ICVS 2008: 171-180 - [c8]Christian Eitzinger, Manfred Gmainer, Wolfgang Heidl, Edwin Lughofer:
Increasing Classification Robustness with Adaptive Features. ICVS 2008: 445-453 - 2007
- [c7]Edwin Lughofer, Plamen Angelov, Xiaowei Zhou:
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class. FUZZ-IEEE 2007: 1-6 - [c6]Plamen Angelov, Xiaowei Zhou, Dimitar P. Filev, Edwin Lughofer:
Architectures for evolving fuzzy rule-based classifiers. SMC 2007: 2050-2055 - 2006
- [c5]János Botzheim, Edwin Lughofer, Erich-Peter Klement, László T. Kóczy, Tom Gedeon:
Separated Antecedent and Consequent Learning for Takagi-Sugeno Fuzzy Systems. FUZZ-IEEE 2006: 2263-2269 - 2005
- [c4]Edwin Lughofer, Eyke Hüllermeier, Erich-Peter Klement:
Improving the interpretability of data-driven evolving fuzzy systems. EUSFLAT Conf. 2005: 28-33 - [c3]Edwin Lughofer, Erich-Peter Klement:
FLEXFIS: A Variant for Incremental Learning of Takagi-Sugeno Fuzzy Systems. FUZZ-IEEE 2005: 915-920 - 2004
- [c2]Edwin Lughofer, Erich-Peter Klement:
Premise parameter estimation and adaptation in fuzzy systems with open-loop clustering methods. FUZZ-IEEE 2004: 499-504 - 2003
- [c1]Edwin Lughofer, Hajrudin Efendic, Luigi del Re, Erich-Peter Klement:
Filtering of dynamic measurements in intelligent sensors for fault detection based on data-driven models. CDC 2003: 463-468
Coauthor Index
Plamen Angelov 0001
aka: Plamen P. Angelov
aka: Plamen P. Angelov
[j123] [j122] [i17] [i16] [j117] [j113] [j100] [j99] [c78] [c77] [i14] [i13] [i12] [j93] [j92] [j91] [j85] [c75] [c74] [j79] [c70] [i11] [i10] [j76] [j74] [j73] [j70] [j69] [j68] [c68] [c66] [i9] [i8] [i7] [j66] [j63] [j62] [j60] [j59] [j55] [c63] [c60] [i5] [i4] [i3] [i2] [j54] [j53] [c57] [j48] [j37] [j31] [j30] [c47] [c43] [j28] [c37] [c34] [c32]
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