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ORCIDGerald Schaefer
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- affiliation: Loughborough University, UK
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2020 – today
- 2023
[j59]Hao Zhang, Yixiang Sun, Zenghui Liu, Qiyuan Liu, Xiyao Liu, Ming Jiang, Gerald Schaefer, Hui Fang:
Heterogeneous attention based transformer for sign language translation. Appl. Soft Comput. 144: 110526 (2023)- [j58]Seyed Jalaleddin Mousavirad
, Gerald Schaefer, Huiyu Zhou, Mahshid Helali Moghadam:
How effective are current population-based metaheuristic algorithms for variance-based multi-level image thresholding? Knowl. Based Syst. 272: 110587 (2023) - [j57]Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Mahdi Pedram, Gerald Schaefer, Diego Oliva:
Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems. New Gener. Comput. 41(2): 225-242 (2023) - [j56]Kunhao Yuan, Gerald Schaefer, Yu-Kun Lai, Yifan Wang, Xiyao Liu, Lin Guan, Hui Fang:
A multi-strategy contrastive learning framework for weakly supervised semantic segmentation. Pattern Recognit. 137: 109298 (2023) - [c243]Xiangyuan Zhu, Kehua Guo, Hui Fang, Rui Ding, Zheng Wu, Gerald Schaefer:
Gradient-Based Graph Attention for Scene Text Image Super-resolution. AAAI 2023: 3861-3869 - [c242]Sahar Rahmani, Seyed Jalaleddin Mousavirad, Mohammed El-Abd, Gerald Schaefer, Diego Oliva:
Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training. EvoApplications@EvoStar 2023: 608-622 - [c241]Ziping Ma, Yuesheng Zhu, Guibo Luo, Xiyao Liu, Gerald Schaefer, Hui Fang:
Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery. IJCAI 2023: 4838-4846 - 2022
- [j55]Seyed Jalaleddin Mousavirad, Davood Zabihzadeh, Diego Oliva, Marco Antonio Pérez Cisneros, Gerald Schaefer:
A Grouping Differential Evolution Algorithm Boosted by Attraction and Repulsion Strategies for Masi Entropy-Based Multi-Level Image Segmentation. Entropy 24(1): 8 (2022) - [j54]Lei Jiang, Haibin Cai, Gerald Schaefer, Qinggang Meng:
A neural refinement network for single image view synthesis. Neurocomputing 496: 35-45 (2022) - [j53]Xiyao Liu, Yayun Zhang, Jiayu Wang, Yuying Sun, Wei Zhang, Di Zhou, Gerald Schaefer, Hui Fang:
Multiple-feature-based zero-watermarking for robust and discriminative copyright protection of DIBR 3D videos. Inf. Sci. 604: 97-114 (2022) - [j52]Xiyao Liu, Ziping Ma, Zhihong Chen, Fangfang Li, Ming Jiang, Gerald Schaefer, Hui Fang:
Hiding multiple images into a single image via joint compressive autoencoders. Pattern Recognit. 131: 108842 (2022) - [c240]Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Zahra Sobhaninia:
An Improved DE Algorithm to Optimise the Learning Process of a BERT-based Plagiarism Detection Model. CEC 2022: 1-7 - [c239]Xiyao Liu, Ziping Ma, Junxing Ma, Jian Zhang, Gerald Schaefer, Hui Fang:
Image Disentanglement Autoencoder for Steganography without Embedding. CVPR 2022: 2293-2302 - [c238]Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand, Ripon K. Chakrabortty, Gerald Schaefer, Diego Oliva:
RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation. EvoApplications 2022: 255-268 - [c237]Mahdi Pedram, Seyed Jalaleddin Mousavirad, Gerald Schaefer:
Training Neural Networks with Lévy Flight Distribution Algorithm. ICHSA 2022: 93-103 - [c236]Amirreza Mahbod, Gerald Schaefer, Rupert Ecker, Isabella Ellinger:
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks. ICPR 2022: 4358-4364 - [c235]Lei Jiang, Gerald Schaefer, Qinggang Meng:
An Improved Novel View Synthesis Approach Based on Feature Fusion and Channel Attention. SMC 2022: 2459-2464 - [i13]Kunhao Yuan, Gerald Schaefer, Yu-Kun Lai, Yifan Wang, Xiyao Liu, Lin Guan, Hui Fang:
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation. CoRR abs/2201.07021 (2022) - [i12]Wenyuan Yang, Shuo Shao, Yue Yang, Xiyao Liu, Zhihua Xia, Gerald Schaefer, Hui Fang:
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring. CoRR abs/2211.07138 (2022) - 2021
- [j51]Amirreza Mahbod, Gerald Schaefer, Benjamin Bancher, Christine Löw, Georg Dorffner, Rupert Ecker, Isabella Ellinger:
CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images. Comput. Biol. Medicine 132: 104349 (2021) - [j50]Xiaojie Yin, Qinghua Hu, Gerald Schaefer:
Open set recognition through Monte Carlo dropout-based uncertainty. Int. J. Bio Inspired Comput. 18(4): 210-220 (2021) - [j49]Kunhao Yuan, Xu Zhuang, Gerald Schaefer, Jianxin Feng, Lin Guan, Hui Fang:
Deep-Learning-Based Multispectral Satellite Image Segmentation for Water Body Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 7422-7434 (2021) - [c234]Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer:
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. CEC 2021: 1233-1240 - [c233]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva:
RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks. EvoApplications 2021: 407-420 - [c232]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Diego Oliva, Salvador Hinojosa:
HCS-BBD: an effective population-based approach for multi-level thresholding. GECCO Companion 2021: 1923-1930 - [c231]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram:
A population-based automatic clustering algorithm for image segmentation. GECCO Companion 2021: 1931-1936 - [c230]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram:
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. SMC 2021: 176-181 - [c229]Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. SSCI 2021: 1-6 - [c228]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand:
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. SSCI 2021: 1-7 - [i11]Amirreza Mahbod, Gerald Schaefer, Benjamin Bancher, Christine Löw, Georg Dorffner, Rupert Ecker, Isabella Ellinger:
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images. CoRR abs/2101.00442 (2021) - [i10]Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer:
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. CoRR abs/2106.15392 (2021) - [i9]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram:
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. CoRR abs/2109.09351 (2021) - [i8]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand:
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. CoRR abs/2111.10188 (2021) - [i7]Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. CoRR abs/2111.10676 (2021) - 2020
- [j48]Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Gerald Schaefer:
Automatic clustering using a local search-based human mental search algorithm for image segmentation. Appl. Soft Comput. 96: 106604 (2020) - [j47]Amirreza Mahbod, Gerald Schaefer, Chunliang Wang, Georg Dorffner, Rupert Ecker, Isabella Ellinger:
Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification. Comput. Methods Programs Biomed. 193: 105475 (2020) - [j46]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c227]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan, Gerald Schaefer:
Many-level Image Thresholding using a Center-Based Differential Evolution Algorithm. CEC 2020: 1-7 - [c226]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Leila Esmaeili, Iakov Korovin:
On Improvements of the Human Mental Search Algorithm for Global Optimisation. CEC 2020: 1-8 - [c225]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
Effective image clustering using self-organizing migrating algorithm. GECCO Companion 2020: 279-280 - [c224]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Seyed Mohammad Jafar Jalali, Iakov Korovin:
A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training. GECCO Companion 2020: 1402-1408 - [c223]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
Colour quantisation using self-organizing migrating algorithm. GECCO Companion 2020: 1448-1453 - [c222]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
High-dimensional multi-level image thresholding using self-organizing migrating algorithm. GECCO Companion 2020: 1454-1459 - [c221]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Zahra Movahedi, Iakov Korovin:
High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms. GECCO Companion 2020: 1608-1613 - [c220]Ryosuke Saga, Tomoki Yoshikawa, Ken Wakita, Ken Sakamoto, Gerald Schaefer, Tomoharu Nakashima:
A Genetic Algorithm Optimising Control Point Placement for Edge Bundling. VISIGRAPP (3: IVAPP) 2020: 217-222 - [c219]Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi:
Neural Network Training Using a Biogeography-Based Learning Strategy. ICONIP (5) 2020: 147-155 - [c218]Amirreza Mahbod, Gerald Schaefer, Rupert Ecker, Isabella Ellinger:
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks. ICPR Workshops (1) 2020: 344-356 - [c217]Amirreza Mahbod, Gerald Schaefer, Chunliang Wang, Rupert Ecker, Georg Dorffner, Isabella Ellinger:
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification. ICPR 2020: 4047-4053 - [c216]Xiyao Liu, Ziping Ma, Xingbei Guo, Jialu Hou, Lei Wang, Jian Zhang, Gerald Schaefer, Hui Fang:
Joint compressive autoencoders for full-image-to-image hiding. ICPR 2020: 7743-7750 - [c215]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
An Effective Approach for Neural Network Training Based on Comprehensive Learning. ICPR 2020: 8774-8781 - [c214]Xiyao Liu, Ziping Ma, Xingbei Guo, Jialu Hou, Gerald Schaefer, Lei Wang, Victoria Wang, Hui Fang:
Camouflage Generative Adversarial Network: Coverless Full-image-to-image Hiding. SMC 2020: 166-172 - [c213]Oussama Kadri, Zine-Eddine Baarir, Gerald Schaefer, Iakov Korovin:
Colour Image Denoising using Curvelets and Scale Dependent Shrinkage. SMC 2020: 2072-2077 - [c212]Seyed Jalaleddin Mousavirad, Gerald Schaefer, M. Emre Celebi, Hui Fang, Xiyao Liu:
Colour Quantisation using Human Mental Search and Local Refinement. SMC 2020: 3045-3050 - [c211]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh, Iakov Korovin:
A Novel Image Segmentation Based on Clustering and Population-Based Optimisation. ICSI 2020: 117-129 - [c210]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hui Fang, Xiyao Liu, Iakov Korovin:
Colour Quantisation by Human Mental Search. ICSI 2020: 130-141 - [c209]Jakub Holewik, Gerald Schaefer, Iakov Korovin:
Imbalanced Ensemble Learning for Enhanced Pulsar Identification. ICSI 2020: 515-524 - [i6]Amirreza Mahbod, Gerald Schaefer, Chunliang Wang, Rupert Ecker, Georg Dorffner, Isabella Ellinger:
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification. CoRR abs/2006.14715 (2020) - [i5]Amirreza Mahbod, Gerald Schaefer, Rupert Ecker, Isabella Ellinger:
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks. CoRR abs/2011.07428 (2020)
2010 – 2019
- 2019
- [j45]Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Gerald Schaefer:
Effective image clustering based on human mental search. Appl. Soft Comput. 78: 209-220 (2019) - [j44]Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Alain Pitiot, Chunliang Wang:
Fusing fine-tuned deep features for skin lesion classification. Comput. Medical Imaging Graph. 71: 19-29 (2019) - [j43]Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Gerald Schaefer:
A memetic imperialist competitive algorithm with chaotic maps for multi-layer neural network training. Int. J. Bio Inspired Comput. 14(4): 227-236 (2019) - [j42]Oussama Kadri, Zine-Eddine Baarir, Gerald Schaefer:
Power shrinkage - curvelet domain image denoising using a new scale-dependent shrinkage function. Signal Image Video Process. 13(7): 1347-1355 (2019) - [c208]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh:
A Benchmark of Population-Based Metaheuristic Algorithms for High-Dimensional Multi-Level Image Thresholding. CEC 2019: 2394-2401 - [c207]Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang:
A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues. ECDP 2019: 75-82 - [c206]Amirreza Mahbod, Gerald Schaefer, Chunliang Wang, Rupert Ecker, Isabella Ellinger:
Skin Lesion Classification Using Hybrid Deep Neural Networks. ICASSP 2019: 1229-1233 - [c205]Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Gerald Schaefer, Iakov Korovin:
An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks. ISNN (1) 2019: 309-317 - [c204]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
A Global-Best Guided Human Mental Search Algorithm with Random Clustering Strategy. SMC 2019: 3174-3179 - 2018
- [j41]Joanna Turner, Qinggang Meng, Gerald Schaefer, Amanda Whitbrook, Andrea Soltoggio:
Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System. IEEE Trans. Cybern. 48(9): 2583-2597 (2018) - [c203]Joanna Turner, Qinggang Meng, Gerald Schaefer, Andrea Soltoggio:
Distributed Strategy Adaptation with a Prediction Function in Multi-Agent Task Allocation. AAMAS 2018: 739-747 - [c202]Houria Kelkoul, Youssef Zaz, Hicham Tribak, Gerald Schaefer:
A Robust Combined Audio and Video Watermark Algorithm Against Cinema Piracy. ICMCS 2018: 1-4 - [c201]Qiang Tang, Yan Chen, Gerald Schaefer, Alastair G. Gale:
The development of an augmented reality (AR) approach to mammographic training: overcoming some real world challenges. Medical Imaging: Image-Guided Procedures 2018: 105762M - [c200]Joanna Turner, Qinggang Meng, Gerald Schaefer, Andrea Soltoggio:
Fast consensus for fully distributed multi-agent task allocation. SAC 2018: 832-839 - [c199]German Valenzuela, M. Emre Celebi, Gerald Schaefer:
Color Quantization Using Coreset Sampling. SMC 2018: 2096-2101 - 2017
- [c198]Gerald Schaefer, Niraj P. Doshi:
LBP vs. LBP Variance for Texture Classification. DMBD 2017: 156-164 - [c197]Gerald Schaefer, Mateusz Budnik, Bartosz Krawczyk:
Immersive browsing in an image sphere. IMCOM 2017: 26 - [c196]Wael Saafin, Gerald Schaefer:
Pre-processing Techniques for Colour Digital Pathology Image Analysis. MIUA 2017: 551-560 - 2016
- [j40]Gerald Schaefer:
Gene Expression Analysis based on Ant Colony Optimisation Classification. Int. J. Rough Sets Data Anal. 3(3): 51-59 (2016) - [c195]Takuya Yoshida, M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi:
Simple and effective pre-processing for automated melanoma discrimination based on cytological findings. IEEE BigData 2016: 3439-3442 - [c194]Gerald Schaefer, Niraj P. Doshi:
Effective classification of HEp-2 cells using fuzzy texture descriptors. FUZZ-IEEE 2016: 1248-1252 - [c193]Alaa Tharwat, Tarek Gaber, Aboul Ella Hassanien, Gerald Schaefer, Jeng-Shyang Pan:
A Fully-Automated Zebra Animal Identification Approach Based on SIFT Features. ICGEC 2016: 289-297 - [c192]Abhinash Kumar Jha, Punjal Agarwal, Gerald Schaefer, Youssef Zaz:
A novel image detail preserving impulse noise removal algorithm. ICMCS 2016: 137-140 - [c191]Gerald Schaefer:
Fast JPEG compressed domain image retrieval. ICMCS 2016: 148-150 - [c190]Waleed Yamany, Eid Emary, Aboul Ella Hassanien, Gerald Schaefer, Shao Ying Zhu:
An Innovative Approach for Attribute Reduction Using Rough Sets and Flower Pollination Optimisation. KES 2016: 403-409 - [c189]Gehad Ismail Sayed, Aboul Ella Hassanien, Gerald Schaefer:
An Automated Computer-aided Diagnosis System for Abdominal CT Liver Images. MIUA 2016: 68-73 - [c188]Aboul Ella Hassanien, Mohamed Abd Elfattah, Sherihan Aboulenin, Gerald Schaefer, Shao Ying Zhu, Iakov Korovin:
Historic handwritten manuscript binarisation using whale optimisation. SMC 2016: 3842-3846 - [c187]Mohamed Torky, Ramadan Babers, Ragia A. Ibrahim, Aboul Ella Hassanien, Gerald Schaefer, Iakov Korovin, Shao Ying Zhu:
Credibility investigation of newsworthy tweets using a visualising Petri net model. SMC 2016: 3894-3898 - [c186]Gerald Schaefer, Niraj P. Doshi, Iakov Korovin, Shao Ying Zhu:
Classifying HEp-2 cells in immunofluorescence images using multiple kernel learning. SMC 2016: 4466-4470 - [c185]Aman Dubey, Akshay Lohiya, Vishwajeet Narwal, Abhinash Kumar Jha, Punjal Agarwal, Gerald Schaefer:
Natural Image Interpolation Using Extreme Learning Machine. SoCPaR 2016: 340-350 - 2015
- [j39]Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak:
A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification. Artif. Intell. Medicine 65(3): 219-227 (2015) - [j38]Gerald Schaefer, Lars Nolle:
A Hybrid Color Quantization Algorithm Incorporating a Human Visual Perception Model. Comput. Intell. 31(4): 684-698 (2015) - [j37]M. Emre Celebi, Bogdan Smolka, Gerald Schaefer:
Special issue on real-time color image processing. J. Real Time Image Process. 10(2): 189-191 (2015) - [j36]Gerald Schaefer, Matthew Tallyn, Daniel Felton, William Plant, David Edmundson:
Interactive browsing of image collections on mobile devices. Multim. Tools Appl. 74(19): 8267-8277 (2015) - [c184]Gerald Schaefer, Tomoharu Nakashima:
Strategies for addressing class imbalance in ensemble classification of thermography breast cancer features. CEC 2015: 2362-2367 - [c183]Joanna Turner, Qinggang Meng, Gerald Schaefer:
Increasing allocated tasks with a time minimization algorithm for a search and rescue scenario. ICRA 2015: 3401-3407 - [c182]Keiichi Ohki, M. Emre Celebi, Gerald Schaefer, Hitoshi Iyatomi:
Building of Readable Decision Trees for Automated Melanoma Discrimination. ISVC (2) 2015: 712-721 - [c181]Hafiz Imtiaz, Upal Mahbub, Gerald Schaefer, Shao Ying Zhu, Md. Atiqur Rahman Ahad:
Human Action Recognition based on Spectral Domain Features. KES 2015: 430-437 - [c180]Niraj P. Doshi, Gerald Schaefer, Shao Ying Zhu:
An Evaluation of Image Enhancement Techniques for Nailfold Capillary Skeletonisation. KES 2015: 1613-1621 - [c179]Abdalla Mostafa, Ahmed Fouad, Mohamed Abd Elfattah, Aboul Ella Hassanien, Hesham A. Hefny, Shao Ying Zhu, Gerald Schaefer:
CT Liver Segmentation Using Artificial Bee Colony Optimisation. KES 2015: 1622-1630 - [c178]Alaa Tharwat, Abdelhameed Ibrahim, Aboul Ella Hassanien, Gerald Schaefer:
Ear Recognition Using Block-Based Principal Component Analysis and Decision Fusion. PReMI 2015: 246-254 - [c177]Bartosz Krawczyk, Gerald Schaefer:
Effective Imbalanced Classification of Breast Thermogram Features. PReMI 2015: 535-544 - [c176]Niraj P. Doshi, Gerald Schaefer, Shao Ying Zhu:
An Evaluation of LBP Texture Descriptors for the Classification of HEp-2 Cells. SMC 2015: 2283-2288 - 2014
- [j35]XuLei Yang, Aize Cao, Qing Song, Gerald Schaefer, Yi Su:
Vicinal support vector classifier using supervised kernel-based clustering. Artif. Intell. Medicine 60(3): 189-196 (2014) - [j34]Bartosz Krawczyk, Michal Wozniak, Gerald Schaefer:
Cost-sensitive decision tree ensembles for effective imbalanced classification. Appl. Soft Comput. 14: 554-562 (2014) - [j33]Bartosz Krawczyk, Gerald Schaefer:
A hybrid classifier committee for analysing asymmetry features in breast thermograms. Appl. Soft Comput. 20: 112-118 (2014) - [j32]Taha Osman, Dhavalkumar Thakker, Gerald Schaefer:
Utilising semantic technologies for intelligent indexing and retrieval of digital images. Computing 96(7): 651-668 (2014) - [j31]Gerald Schaefer:
Soft computing-based colour quantisation. EURASIP J. Image Video Process. 2014: 8 (2014) - [j30]Amit Pal, Gerald Schaefer:
Robust background modelling using region-based codebooks. Int. J. Adv. Media Commun. 5(2/3): 233-244 (2014) - [j29]Qinghua Hu, Leijun Li, Xiangqian Wu, Gerald Schaefer, Daren Yu:
Exploiting diversity for optimizing margin distribution in ensemble learning. Knowl. Based Syst. 67: 90-104 (2014) - [j28]Gerald Schaefer:
ACO classification of thermogram symmetry features for breast cancer diagnosis. Memetic Comput. 6(3): 207-212 (2014) - [j27]