Fast and Robust Way of Learning the Fourier Series Neural Networks on the Basis of Multidimensional Discrete Fourier Transform. - Krzysztof Halawa (ICAISC, 2008)

Determining the Weights of A Fourier Series Neural Network on the Basis of the Multidimensional Discrete Fourier Transform. - Krzysztof Halawa (Int. J. Appl. Math. Comput. Sci., 2008)

Training Fourier Series Neural Networks to Map Closed Curves. - Krzysztof Halawa (IJCCI, 2009)

A method to improve the performance of multilayer perceptron by utilizing various activation functions in the last hidden layer and the least squares method. - Krzysztof Halawa (Neural Process. Lett., 2011)

Selection of Activation Functions in the Last Hidden Layer of the Multilayer Perceptron. - Krzysztof Halawa (ICAISC (1), 2012)

A New Multilayer Perceptron Initialisation Method with Selection of Weights on the Basis of the Function Variability. - Krzysztof Halawa (ICAISC (1), 2014)

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)

Method Enabling the First Hidden Layer of Multilayer Perceptrons to Make Division of Space with Various Hypercurves. - Krzysztof Halawa (ICAISC (1), 2016)

Detection of Objects Dangerous for the Operation of Mining Machines. - Jakub Szymkowiak; Marek Bazan; Krzysztof Halawa; Tomasz Janiczek (ICCS (4), 2023)

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)

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)

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)