Contact:
Room: 518
Position:
Assistant
Classes:
Optymalizacja stron internetowych lab
Programowanie stron internetowych lab
Podstawy sztucznej inteligencji i inżynieria podpowiedzi lab
Zastosowania sztucznej inteligencji lab
MSc Eng
Katarzyna Nieszporek
Office hours: Poniedziałek: 13:00-15:00; Piątek: 12:00-14:00
Papers (13)
2026 (3)
Iacobelli E., Ponzi V., Puglisi A., Kuznetsov O., Nieszporek K., Randieri C., Napoli C., Lightweight Anomaly Detection for IoT: Evaluating Machine Learning and Deep Learning Models on CICIDS2017. (0)
Lightweight Anomaly Detection for IoT: Evaluating Machine Learning and Deep Learning Models on CICIDS2017
, Lightweight Anomaly Detection for IoT: Evaluating Machine Learning and Deep Learning Models on CICIDS2017, Lecture Notes in Computer Science, 15950 LNCS, 15950 LNCS, 25-37, 2026, Cites: 0
Nieszporek K., Bernacki J., Costa K.A.P., Ke Q., Wei W., UAV Forensics: Transformer-Based Identification of Mobile Devices for Drone Piloting. (0)
UAV Forensics: Transformer-Based Identification of Mobile Devices for Drone Piloting
, UAV Forensics: Transformer-Based Identification of Mobile Devices for Drone Piloting, Lecture Notes in Computer Science, 15949 LNCS, 15949 LNCS, 355-363, 2026, Cites: 0
Manias M., Scognamiglio G., Puglisi A., Nieszporek K., Starczewski J., Napoli C., Enhanced Graph Deviation Networks for Anomaly Detection in Space Telemetry. (0)
Enhanced Graph Deviation Networks for Anomaly Detection in Space Telemetry
, Enhanced Graph Deviation Networks for Anomaly Detection in Space Telemetry, Lecture Notes in Computer Science, 15950 LNCS, 15950 LNCS, 71-85, 2026, Cites: 02025 (4)
Gevasio A., Napoli C., Nieszporek K., Adversarially-Guided 3D Shape Deformation via Differentiable Rendering and 2D Supervision. (0)
Adversarially-Guided 3D Shape Deformation via Differentiable Rendering and 2D Supervision
, Adversarially-Guided 3D Shape Deformation via Differentiable Rendering and 2D Supervision, Ceur Workshop Proceedings, 3992, 3992, 67-74, 2025, Cites: 0
Pluta P., Nieszporek K., Sosnowski J., Positioning the Reconstruction Plane for a Statistical Iterative Reconstruction Algorithm with Rebinning in CT Scanners with a Flying Focal Spot. (1)
Positioning the Reconstruction Plane for a Statistical Iterative Reconstruction Algorithm with Rebinning in CT Scanners with a Flying Focal Spot
, Positioning the Reconstruction Plane for a Statistical Iterative Reconstruction Algorithm with Rebinning in CT Scanners with a Flying Focal Spot, Lecture Notes in Computer Science, 15166 LNAI, 15166 LNAI, 345-355, 2025, Cites: 1
Nieszporek K., Capecchi G., Bocci M.G., Bayesian LSTM Forecasting of COVID-19 ICU Occupancy With Uncertainty Estimations. (0)
Bayesian LSTM Forecasting of COVID-19 ICU Occupancy With Uncertainty Estimations
, Bayesian LSTM Forecasting of COVID-19 ICU Occupancy With Uncertainty Estimations, Ceur Workshop Proceedings, 3984, 3984, 107-115, 2025, Cites: 0
Bernacki J., Costa K.A.P., Nieszporek K., Evaluating Neural Network Models for Accurate Prediction of Network Traffic Load. (0)
Evaluating Neural Network Models for Accurate Prediction of Network Traffic Load
, Evaluating Neural Network Models for Accurate Prediction of Network Traffic Load, Lecture Notes in Computer Science, 15164 LNAI, 15164 LNAI, 3-13, 2025, Cites: 02019 (4)
Starczewski J.T., Nowicki R.K., Nieszporek K., Fuzzy-rough fuzzification in general FL classifiers. (4)
Fuzzy-rough fuzzification in general FL classifiers
, Fuzzy-rough fuzzification in general FL classifiers, Ijcci 2019 Proceedings of the 11th International Joint Conference on Computational Intelligence, 335-342, 2019, Cites: 4
Starczewski J.T., Nowicki R.K., Nieszporek K., Fuzzy–rough Fuzzification in General FL Classifiers. (0)
Fuzzy–rough Fuzzification in General FL Classifiers
, Fuzzy–rough Fuzzification in General FL Classifiers, International Joint Conference on Computational Intelligence, 1, 1, 335-342, 2019, Cites: 0
Wrobel M., Starczewski J.T., Nieszporek K., Opielka P., Kazmierczak A., A greedy algorithm for extraction of handwritten strokes. (2)
A greedy algorithm for extraction of handwritten strokes
, A greedy algorithm for extraction of handwritten strokes, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 11509 LNAI, 11509 LNAI, 464-473, 2019, Cites: 2
Opielka P., Starczewski J.T., Wrobel M., Nieszporek K., Marchlewska A., Application of Spiking Neural Networks to Fashion Classification. (2)
Application of Spiking Neural Networks to Fashion Classification
, Application of Spiking Neural Networks to Fashion Classification, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 11508 LNAI, 11508 LNAI, 172-180, 2019, Cites: 22018 (2)
Wrobel M., Nieszporek K., Starczewski J.T., Cader A., A fuzzy measure for recognition of handwritten letter strokes. (7)
A fuzzy measure for recognition of handwritten letter strokes
, A fuzzy measure for recognition of handwritten letter strokes, Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 10841 LNAI, 10841 LNAI, 761-770, 2018, Cites: 7
Starczewski J.T., Nieszporek K., Wrobel M., Grzanek K., A fuzzy SOM for understanding incomplete 3D faces. (4)
