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Contact:
Room: 518

Position:
Associate Professor

Classes:
Języki skryptowe w aplikacjach internetowych wyk
Optymalizacja stron internetowych wyk
Scripting languages in web applications lab
Scripting languages in web applications wyk
Zasilanie systemów komputerowych wyk
PhD DSc Eng Janusz Starczewski

Papers (50)

2023 (2)

A Novel ConvMixer Transformer Based Architecture for Violent Behavior Detection
Alfarano A., De Magistris G., Mongelli L., Russo S., Starczewski J., Napoli C., A Novel ConvMixer Transformer Based Architecture for Violent Behavior Detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 3-16, 2023, Cites: 17
Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks
De Magistris G., Comminiello D., Napoli C., Starczewski J.T., Visual Odometry with Depth-Wise Separable Convolution and Quaternion Neural Networks, CEUR Workshop Proceedings, 3417, 3417, 70-80, 2023, Cites: 0

2022 (4)

A Novel Approach to Type-Reduction and Design of Interval Type-2 Fuzzy Logic Systems
Starczewski J.T., Przybyszewski K., Byrski A., Szmidt E., Napoli C., A Novel Approach to Type-Reduction and Design of Interval Type-2 Fuzzy Logic Systems, Journal of Artificial Intelligence and Soft Computing Research, 12, 12, 197-206, 2022, Cites: 3
A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction
Ponzi V., Iacobelli E., Napoli C., Starczewski J., A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction, CEUR Workshop Proceedings, 3398, 3398, 52-58, 2022, Cites: 1
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19
De Magistris G., Russo S., Roma P., Starczewski J.T., Napoli C., An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19, Information (Switzerland), 13, 13, 2022, Cites: 32
A Novel DWT-based Encoder for Human Pose Estimation
De Magistris G., Romano M., Starczewski J., Napoli C., A Novel DWT-based Encoder for Human Pose Estimation, CEUR Workshop Proceedings, 3360, 3360, 33-40, 2022, Cites: 10

2021 (1)

Handwritten word recognition using fuzzy matching degrees
Wrobel M., Starczewski J.T., Fijalkowska J., Siwocha A., Napoli C., Handwritten word recognition using fuzzy matching degrees, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 229-242, 2021, Cites: 3

2020 (2)

Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems
Starczewski J.T., Goetzen P., Napoli C., Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 271-285, 2020, Cites: 17
Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree
Wrobel M., Starczewski J.T., Napoli C., Grouping Handwritten Letter Strokes Using a Fuzzy Decision Tree, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 103-113, 2020, Cites: 2

2019 (6)

Application of Spiking Neural Networks to Fashion Classification
Opielka P., Starczewski J.T., Wrobel M., Nieszporek K., Marchlewska A., 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: 1
Extended Possibilistic Fuzzification for Classification
Nowicki R.K., Starczewski J.T., Grycuk R., Extended Possibilistic Fuzzification for Classification, International Joint Conference on Computational Intelligence, 1, 1, 343-350, 2019, Cites: 0
Fuzzy–rough Fuzzification in General FL Classifiers
Starczewski J.T., Nowicki R.K., Nieszporek K., Fuzzy–rough Fuzzification in General FL Classifiers, International Joint Conference on Computational Intelligence, 1, 1, 335-342, 2019, Cites: 0
Extended possibilistic fuzzification for classification
Nowicki R.K., Starczewski J.T., Grycuk R., Extended possibilistic fuzzification for classification, IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, 343-350, 2019, Cites: 1
Fuzzy-rough fuzzification in general FL classifiers
Starczewski J.T., Nowicki R.K., Nieszporek K., Fuzzy-rough fuzzification in general FL classifiers, IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, 335-342, 2019, Cites: 2
A greedy algorithm for extraction of handwritten strokes
Wrobel M., Starczewski J.T., Nieszporek K., Opielka P., Kazmierczak A., 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

2018 (2)

A fuzzy SOM for understanding incomplete 3D faces
Starczewski J.T., Nieszporek K., Wrobel M., Grzanek K., A fuzzy SOM for understanding incomplete 3D faces, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 73-80, 2018, Cites: 4
A fuzzy measure for recognition of handwritten letter strokes
Wrobel M., Nieszporek K., Starczewski J.T., Cader A., 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: 6

2017 (3)

Handwriting recognition with extraction of letter fragments
Wrobel M., Starczewski J.T., Napoli C., Handwriting recognition with extraction of letter fragments, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 183-192, 2017, Cites: 14
Narx neural network for prediction of refresh timeout in PIM–DM multicast routing
Vladymyrska N., Wrobel M., Starczewski J.T., Hnatushenko V., Narx neural network for prediction of refresh timeout in PIM–DM multicast routing, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 199-205, 2017, Cites: 0
A new method for classification of imprecise data using fuzzy rough fuzzification
Nowicki R.K., Starczewski J.T., A new method for classification of imprecise data using fuzzy rough fuzzification, Information Sciences, 414, 414, 33-52, 2017, Cites: 25

2016 (1)

Self organizing maps for 3D face understanding
Starczewski J.T., Pabiasz S., Vladymyrska N., Marvuglia A., Napoli C., Wozniak M., Self organizing maps for 3D face understanding, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 210-217, 2016, Cites: 12

2015 (3)

SOM vs FCM vs PCA in 3D face recognition
Pabiasz S., Starczewski J.T., Marvuglia A., SOM vs FCM vs PCA in 3D face recognition, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 120-129, 2015, Cites: 6
Toward work groups classification based on probabilistic neural network approach
Napoli C., Pappalardo G., Tramontana E., Nowicki R.K., Starczewski J.T., Wozniak M., Toward work groups classification based on probabilistic neural network approach, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 79-89, 2015, Cites: 38
A multiscale image compressor with RBFNN and Discrete Wavelet decomposition
Wozniak M., Napoli C., Tramontana E., Capizzi G., Lo Sciuto G., Nowicki R.K., Starczewski J.T., A multiscale image compressor with RBFNN and Discrete Wavelet decomposition, Proceedings of the International Joint Conference on Neural Networks, 2015-September, 2015-September, 2015, Cites: 38

2014 (5)

Centroid of triangular and Gaussian type-2 fuzzy sets
Starczewski J.T., Centroid of triangular and Gaussian type-2 fuzzy sets, Information Sciences, 280, 280, 289-306, 2014, Cites: 38
The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features
Nowicki R.K., Nowak B.A., Starczewski J.T., Cpalka K., The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features, Proceedings of the International Joint Conference on Neural Networks, 3759-3766, 2014, Cites: 10
Genetic fuzzy classifier with fuzzy rough sets for imprecise data
Starczewski J.T., Nowicki R.K., Nowak B.A., Genetic fuzzy classifier with fuzzy rough sets for imprecise data, IEEE International Conference on Fuzzy Systems, 1382-1389, 2014, Cites: 8
A new three-dimensional facial landmarks in recognition
Pabiasz S., Starczewski J.T., Marvuglia A., A new three-dimensional facial landmarks in recognition, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 179-186, 2014, Cites: 7
The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets
Nowak B.A., Nowicki R.K., Starczewski J.T., Marvuglia A., The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 256-266, 2014, Cites: 10

2013 (2)

A new approach to determine three-dimensional facial landmarks
Pabiasz S., Starczewski J.T., A new approach to determine three-dimensional facial landmarks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7895 LNAI, 7895 LNAI, 286-296, 2013, Cites: 7
Advanced concepts in fuzzy logic and systems with membership uncertainty
Starczewski J.T., Advanced concepts in fuzzy logic and systems with membership uncertainty, Studies in Fuzziness and Soft Computing, 284, 284, 1-319, 2013, Cites: 18

2012 (3)

A new method for dealing with unbalanced linguistic term set
Bartczuk L., Dziwinski P., Starczewski J.T., A new method for dealing with unbalanced linguistic term set, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 207-212, 2012, Cites: 27
Fully controllable ant colony system for text data clustering
Dziwinski P., Bartczuk L., Starczewski J.T., Fully controllable ant colony system for text data clustering, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7269 LNCS, 7269 LNCS, 199-205, 2012, Cites: 26
Meshes vs. depth maps in face recognition systems
Pabiasz S., Starczewski J.T., Meshes vs. depth maps in face recognition systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 567-573, 2012, Cites: 5

2010 (6)

Relational type-2 interval fuzzy systems
Scherer R., Starczewski J.T., Relational type-2 interval fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6067 LNCS, 6067 LNCS, 360-368, 2010, Cites: 3
General type-2 FLS with uncertainty generated by fuzzy rough sets
Starczewski J.T., General type-2 FLS with uncertainty generated by fuzzy rough sets, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010, 2010, Cites: 7
Learning methods for type-2 FLS based on FCM
Starczewski J.T., Bartczuk L., Dziwinski P., Marvuglia A., Learning methods for type-2 FLS based on FCM, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 224-231, 2010, Cites: 20
New method for generation type-2 fuzzy partition for FDT
Bartczuk L., Dziwinski P., Starczewski J.T., New method for generation type-2 fuzzy partition for FDT, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 275-280, 2010, Cites: 16
New linguistic hedges in construction of interval type-2 FLS
Dziwinski P., Starczewski J.T., Bartczuk L., New linguistic hedges in construction of interval type-2 FLS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6114 LNAI, 6114 LNAI, 445-450, 2010, Cites: 14
On non-singleton fuzzification with DCOG defuzzification
Nowicki R.K., Starczewski J.T., On non-singleton fuzzification with DCOG defuzzification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 168-174, 2010, Cites: 7

2009 (3)

Extended triangular norms
Starczewski J.T., Extended triangular norms, Information Sciences, 179, 179, 742-757, 2009, Cites: 33
A type-1 approximation of interval type-2 FLS
Starczewski J.T., A type-1 approximation of interval type-2 FLS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5571 LNAI, 5571 LNAI, 287-294, 2009, Cites: 7
Efficient triangular type-2 fuzzy logic systems
Starczewski J.T., Efficient triangular type-2 fuzzy logic systems, International Journal of Approximate Reasoning, 50, 50, 799-811, 2009, Cites: 70

2008 (2)

Modular type-2 neuro-fuzzy systems
Starczewski J., Scherer R., Korytkowski M., Nowicki R., Modular type-2 neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4967 LNCS, 4967 LNCS, 570-578, 2008, Cites: 21
On defuzzification of interval type-2 fuzzy sets
Starczewski J.T., On defuzzification of interval type-2 fuzzy sets, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 333-340, 2008, Cites: 11

2006 (1)

A triangular type-2 fuzzy logic system
Starczewski J.T., A triangular type-2 fuzzy logic system, IEEE International Conference on Fuzzy Systems, 1460-1467, 2006, Cites: 19

2005 (1)

Extended triangular norms on gaussian fuzzy sets
Starczewski J.T., Extended triangular norms on gaussian fuzzy sets, Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference, 872-877, 2005, Cites: 21

2004 (2)

New methods for uncertainty representations in neuro-fuzzy systems
Scherer R., Starczewski J., Gaweda A., New methods for uncertainty representations in neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 659-667, 2004, Cites: 4
What differs interval type-2 FLS from type-1 FLS?
Starczewski J.T., What differs interval type-2 FLS from type-1 FLS?, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 381-387, 2004, Cites: 7

2002 (1)

Connectionist structures of type 2 fuzzy inference systems
Starczewski J., Rutkowski L., Connectionist structures of type 2 fuzzy inference systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2328, 2328, 634-642, 2002, Cites: 62

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