Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEdwin Lughofer
Edwin David Lughofer
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j124]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)- [j123]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) - [j122]Edwin Lughofer, Mahardhika Pratama:
Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects. Inf. Fusion 91: 458-476 (2023) - [j121]Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko:
Assessor-guided learning for continual environments. Inf. Sci. 640: 119088 (2023) - [j120]Edwin Lughofer, Igor Skrjanc:
Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise. IEEE Trans. Fuzzy Syst. 31(3): 997-1008 (2023) - [i16]Muhammad Anwar Ma'sum, Mahardhika Pratama, Edwin Lughofer, Weiping Ding, Wisnu Jatmiko:
Assessor-Guided Learning for Continual Environments. CoRR abs/2303.11624 (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) - [c82]Paulo Vitor de Campos Souza, Edwin Lughofer:
EFNN-Gen - a uni-nullneuron-based evolving fuzzy neural network with generalist rules. EAIS 2022: 1-10 - [c81]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 - [c80]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 - [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 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): 551-579 (2021) - [j97]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): 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, Huang Sheng:
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]