Robust LTS Backpropagation Learning Algorithm. - Andrzej Rusiecki (IWANN, 2007)

Robust MCD-Based Backpropagation Learning Algorithm. - Andrzej Rusiecki (ICAISC, 2008)

Robust Learning Algorithm with LTS Error Function. - Andrzej Rusiecki (Encyclopedia of Artificial Intelligence, 2009)

Fast Robust Learning Algorithm Dedicated to LMLS Criterion. - Andrzej Rusiecki (ICAISC (2), 2010)

Robust Neural Network for Novelty Detection on Data Streams. - Andrzej Rusiecki (ICAISC (1), 2012)

Robust Learning Algorithm Based on Iterative Least Median of Squares. - Andrzej Rusiecki (Neural Process. Lett., 2012)

Testing the Generalization of Feedforward Neural Networks with Median Neuron Input Function. - Andrzej Rusiecki (ICAISC (1), 2013)

Improving MLP Neural Network Performance by Noise Reduction. - Miroslaw Kordos; Andrzej Rusiecki (TPNC, 2013)

Robust learning algorithm based on LTA estimator. - Andrzej Rusiecki (Neurocomputing, 2013)

Training Neural Networks on Noisy Data. - Andrzej Rusiecki; Miroslaw Kordos; Tomasz Kaminski; Krzysztof Gren (ICAISC (1), 2014)

Weight Update Sequence in MLP Networks. - Miroslaw Kordos; Andrzej Rusiecki; Tomasz Kaminski; Krzysztof Gren (IDEAL, 2014)

Noise reduction in regression tasks with distance, instance, attribute and density weighting. - Miroslaw Kordos; Andrzej Rusiecki; Marcin Blachnik (CYBCONF, 2015)

Estimation of Travel Time in the City Based on Intelligent Transportation System Traffic Data with the Use of Neural Networks. - Piotr Ciskowski; Adrianna Janik; Marek Bazan; Krzysztof Halawa; Tomasz Janiczek; Andrzej Rusiecki (DepCoS-RELCOMEX, 2016)

Reducing noise impact on MLP training - Techniques and algorithms to provide noise-robustness in MLP network training. - Miroslaw Kordos; Andrzej Rusiecki (Soft Comput., 2016)

Deep Neural Network for Whole Slide Vein Segmentation. - Bartosz Miselis; Michal Kulus; Tomasz Jurek; Andrzej Rusiecki; Lukasz Jelen (CISIM, 2018)

Trimmed Robust Loss Function for Training Deep Neural Networks with Label Noise. - Andrzej Rusiecki (ICAISC (1), 2019)

Analysis of the Shape of Intracranial Pressure Pulse Waveform in Traumatic Brain Injury Patients. - Agnieszka Kazimierska; Agnieszka Uryga; Cyprian Mataczynski; Malgorzata Burzynska; Arkadiusz Ziólkowski; Andrzej Rusiecki; Magdalena Kasprowicz (EMBC, 2021)

Batch Normalization and Dropout Regularization in Training Deep Neural Networks with Label Noise. - Andrzej Rusiecki (ISDA, 2021)

Swapping Face Images with Generative Neural Networks for Deepfake Technology - Experimental Study. - Michal Zendran; Andrzej Rusiecki (KES, 2021)

End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning. - Cyprian Mataczynski; Agnieszka Kazimierska; Agnieszka Uryga; Malgorzata Burzynska; Andrzej Rusiecki; Magdalena Kasprowicz (IEEE J. Biomed. Health Informatics, 2022)

Simple CNN as an alternative for large pretrained models for medical image classification - MedMNIST case study. - Maciej Wilhelmi; Andrzej Rusiecki (CENTERIS/ProjMAN/HCist, 2023)

DCGAN-based Cytology Image Augmentation for Cervical Cancer Cell Classification Using Transfer Learning. - Betelhem Zewdu Wubineh; Lukasz Jelen; Andrzej Rusiecki (CENTERIS/ProjMAN/HCist, 2024)

Segmentation of Cytology Images to Detect Cervical Cancer Using Deep Learning Techniques. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (ICCS (4), 2024)

Cervical Cell Segmentation and Classification Using U-Net and Hybrid VGG19-AlexNet Architecture. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (ICT4DA, 2024)

Deep Learning Approach to Improve Image Super-Resolution with Aliasing. - Jakub Kedzierski; Andrzej Rusiecki (KES, 2024)

Segmentation and Classification Techniques for Pap Smear Images in Detecting Cervical Cancer: A Systematic Review. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (IEEE Access, 2024)

Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (Neural Comput. Appl., 2024)

Universal Deepfake Detection Across Various Image Generators Based on Data from Diffusion Models. - Karolina Lecka; Andrzej Rusiecki (ICCS (Workshops 3), 2025)

ViT-SE_Res: A Hybrid Vision Transformer and ResNet50V2 with Squeeze-And-Excitation Block for Cervical Cell Classification. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (ICCS (Workshops 2), 2025)

SE-DeepLabV3+: Cervical Cell Segmentation and Classification Using a Novel SE-Based DeepLabV3+ and Ensemble Method. - Betelhem Zewdu Wubineh; Andrzej Rusiecki; Krzysztof Halawa (IEEE Access, 2025)