Track 4: Data Science and Machine Learning

Subscribe to RSS Feed (Opens in New Window)

Papers
	A Machine Learning Approach for Estimating Overtime Allocation in Software Development Projects Hammed Mojeed, Gdańsk University of Technology, Poland Rafal Szlapczynski, Gdańsk University of Technology, Poland
	A New Symbolic Time Series Representation Method Based on Data Fuzzification Agnieszka Jastrzebska, Warsaw University of Technology, Poland Zofia Matusiewicz, University of Information Technology and Management, Poland Gonzalo Nápoles, Tilburg University, Netherlands
	Adaptive Hounsfield Scale Windowing in Computed Tomography Liver Segmentation Maciej Zakrzewski, Gdańsk University of Technology, Poland Dominik Kwiatkowski, Gdańsk University of Technology, Poland Jan Cychnerski, Gdańsk University of Technology, Poland
	Application Of Generative Adversarial Network for Data Augmentation and Multiplication to Automated Cell Segmentation of the Corneal Endothelium Karolina Nurzyńska, Silesian University of Technology, Poland Krystian Jandy, Gdańsk University of Technology, Poland Paweł Weichbroth, Gdańsk University of Technology, Poland
	Artificial Intelligence in Optimizing the Selection of Incoterms Rules in Cross-Border Trade. State of Knowledge and Needs for Further Research Monika Pettersen-Sobczyk, University of Szczecin, Poland Marta Mańkowska, University of Szczecin, Poland
	Calcium Activity in A Myocardium-On-Chip Model Analysed with Computer Vision Techniques for the Assessment of Tissue Contractile Properties Maciej Szymkowski, Białystok University of Technology, Poland Bartosz Jura, Łukasiewicz Research Network - Poznań Institute of Technology, Poland Kacper Perz, Łukasiewicz Research Network - Poznań Institute of Technology, Poland
	Characteristics of the Learning Data of a Session-Based Recommendation System and their Impact on the Performance of the System Urszula Kużelewska, Białystok University of Technology, Poland Małgorzata Charytanowicz, Lublin University of Technology, Poland
	Combining Deep Learning and GARCH Models for Financial Volatility and Risk Forecasting Jakub Michańków, University of Warsaw; Kraków University of Economics, Poland Łukasz Kwiatkowski, Kraków University of Economics, Poland Janusz Morajda, Kraków University of Economics, Poland
	Comparison of Deep Neural Network Learning Algorithms for Mars Terrain Image Segmentation Wojciech Wicki, Gdańsk University of Technology, Poland Wiktor Burblis, Gdańsk University of Technology, Poland Miłosz Tkaczeń, Gdańsk University of Technology, Poland Jerzy Demkowicz, Gdańsk University of Technology, Poland
	Construction of Features Ranking— Global Approach Beata Zielosko, University of Silesia in Katowice, Poland Urszula Stańczyk, Silesian University of Technology, Poland Kamil Jabloński, University of Silesia in Katowice, Poland
	Customer Churn Prediction by Rough Neuro-Fuzzy Classifier with CA Defuzzification Magdalena Scherer, Częstochowa University of Technology, Poland Robert Nowicki, Częstochowa University of Technology, Poland
	Design And Implementation Scheme of an Individual Game Support System Driven by High-Frequency Data Andrzej M.J. Skulimowski, AGH University of Science and Technology, Poland
	Detecting Outliers in Context of Clustering Imbalanced Categorical Data Weronika Łazarz, University of Silesia Katowice, Poland Agnieszka Nowak-Brzezińska, University of Silesia Katowice, Poland
	Developing a Corpus for Polish Speech Enhancement by Reducing Noise, Reverberation, and Disruptions Mariusz Kleć, Polish-Japanese Academy of Information Technology, Poland Krzysztof Szklanny, Polish-Japanese Academy of Information Technology, Poland Alicja Wieczorkowska, Polish-Japanese Academy of Information Technology, Poland
	Developing a Low SNR Resistant, Text Independent Speaker Recognition System for Intercom Solutions - A Case Study Szymon Zaporowski, Gdańsk University of Technology, Poland Franciszek Górski, Gdańsk University of Technology, Poland Józef Kotus, Gdańsk University of Technology, Poland
	Dual-Level Decision Tree-Based Model for Dispersed Data Classification Małgorzata Przybyła-Kasperek, University of Silesia in Katowice, Poland Benjamin Agyare Addo, University of Silesia in Katowice, Poland Katarzyna Kusztal, University of Silesia in Katowice, Poland
	Enhancing Personalized Travel Recommendations: Integrating User Behavior and Content Analysis Karolina Selwon, Gdańsk University of Technology, Poland Julian Szymański, Gdańsk University of Technology, Poland
	Equal Criteria Influence Approach (ECIA): Balancing Criteria Impact in Multi-Criteria Decision Analysis Bartosz Paradowski, National Institute of Telecommunications, Poland Bartłomiej Kizielewicz, National Institute of Telecommunications, Poland Wojciech Sałabun, National Institute of Telecommunications, Poland
	Fine-Tuned Transformers and Large Language Models for Entity Recognition in Complex Eligibility Criteria for Clinical Trials Klaudia Kantor, Roche Poland, Poland Mikolaj Morzy, Poznań University of Technology, Poland
	Finger Vein Presentation Attack Detection Method Using a Hybridized Gray-Level Co-Occurrence Matrix Feature with Light-Gradient Boosting Machine Model Kashif Shaheed, Gdańsk University of Technology, Poland Piotr Szczuko, Gdańsk University of Technology, Poland Inam Ullah, Shandong Jianzhhu University, China Hammed Adeleye Mojeed, Gdańsk University of Technology, Poland Abdullateef Oluwagbemiga Balogun, Universiti Teknologi PETRONAS, Malaysia Luiz Fernando Capretz, Western University, Canada
	Generation Of Synthetic Data for Behavioral Gait Biometrics Aleksander Sawicki, Białystok University of Technology, Poland Saaed Khalid, Universidad de la Costa, Colombia Wojciech Walendziuk, Białystok University of Technology, Poland
	Hedging Properties of Algorithmic Investment Strategies Using Long Short-Term Memory and Time Series Models for Equity Indices Jakub Michańków, University of Warsaw, Poland Paweł Sakowski, University of Warsaw, Poland Robert Ślepaczuk, University of Warsaw, Poland
	Image Processing for Improving Detection of Pollen Grains in Light Microscopy Images Elzbieta Kubera, University of Life Sciences in Lublin, Poland Alicja Wieczorkowska, Polish-Japanese Academy of Information Technology, Poland Agnieszka Kubik-Komar, University of Life Sciences in Lublin, Poland Krystyna Piotrowska-Weryszko, University of Life Sciences in Lublin, Poland Agata Konarska, University of Life Sciences in Lublin, Poland
	Improving The Evaluation of Defensive Player Values with Advanced Machine Learning Techniques Michał Zaręba, Adam Mickiewicz University, Poland Tomasz Piłka, Adam Mickiewicz University, Poland Tomasz Górecki, Adam Mickiewicz University, Poland Bartłomiej Grzelak, Adam Mickiewicz University & KKS Lech Poznań, Poland Krzysztof Dyczkowski, Adam Mickiewicz University, Poland
	Innovative Information System Approach for Robust Multi-Criteria Decision Making with Unknown Weights Jakub Więckowski, National Institute of Telecommunications, Poland Wojciech Sałabun, National Institute of Telecommunications, Poland
	Innovative Sales Forecasting: Utilizing Fuzzy Neural Networks for Enhanced Sales Prediction Marcin Bartkowiak, Poznań University of Economics and Business, Poland Piotr Cyplik, Poznań University of Technology, Poland Tomasz Górecki, Adam Mickiewicz University, Poland Adam Karolewski, Smartstock Sp. z o.o., Poland
	Logic-Based Evaluation of Production Scheduling Rules Using Interpolative Boolean Algebra Ognjen Anđelić, University of Belgrade, Serbia Pavle Milošević, University of Belgrade, Serbia Ivana Dragović, University of Belgrade, Serbia Zoran Rakićević, University of Belgrade, Serbia
	Mobilenet-V2 Enhanced Parkinson's Disease Prediction with Hybrid Data Integration Sameer Ahmad Bhat, Gdańsk University of Technology, Poland Piotr Szczuko, Gdańsk University of Technology, Poland
	Multi-Model Deep Learning Framework for Thyroid Cancer Classification Using Ultrasound Imaging Mariusz Rafało, Warsaw School of Economics, Poland Agnieszka Żyłka, Maria Skłodowska-Curie National Research Institute of Oncology, Poland
	New Concept to Multi-Criteria Model Automatization - Machine Learning Based Approach Jarosław Wątróbski, University of Szczecin, Poland Aleksandra Bączkiewicz, University of Szczecin, Poland Iga Rudawska, University of Szczecin, Poland
	Nullnorms and Uninorms as Generators of Unions and Intersections Operations of Balanced Fuzzy Sets Zofia Matusiewicz, University of Information Technology and Management in Rzeszow, Poland Paweł Drygaś, University of Rzeszów, Poland
	On Reasoning About Black-Box Udfs by Classifying their Performance Characteristics Michal Bodziony, IBM Software Lab Kraków, Poland Bartosz Ciesielski, Poznań University of Technology, Poland Anna Lehnhardt, Poznań University of Technology, Poland Robert Wrembel, Poznań University of Technology, Poland
	Polish Sign Language Gestures to Text Conversion Using Machine Learning Łukasz Lemieszewski, The Jacob of Paradies University, Poland Marek Nowak, PH03NIX Software, Poland Jarosław Becker, The Jacob of Paradies University, Poland
	Predicting Prices Of S&P 500 Index Using Classical Methods and Recurrent Neural Networks Mateusz Kijewski, University of Warsaw, Poland Robert Ślepaczuk, University of Warsaw, Poland Maciej Wysocki, University of Warsaw, Poland
	Reidentifying The Compromise Model in The Analytical Decision Process: Application of The SITW And S-TFN Approaches Bartłomiej Kizielewicz, National Institute of Telecommunications, Poland Wojciech Sałabun, National Institute of Telecommunications, Poland
	Relative Relation in KNN Classification for Gene Expression Data. A Preliminary Study Izabela Justyna Kartowicz-Stolarska, Bialystok University of Technology, Poland Marcin Czajkowski, Białystok University of Technology, Poland
	Sign Language Recognition Using Convolution Neural Networks Jarosław Kobiela, Gdańsk University of Technology, Poland Dariusz Kobiela, Gdańsk University of Technology, Poland Adam Artemiuk, Gdańsk University of Technology, Poland
	SIM Box Fraud Detection by Deep Learning System with ICA And Beta Divergence Ryszard Szupiluk, Warsaw School of Economics, Poland Mariusz Rafało, Warsaw School of Economics, Poland
	Success in Grant Funding: Towards a Method of Measuring Convergence of the Project Abstract to the Call Sylwia Krzyżek-Liburska, Kraków University of Economics, Poland Grażyna Paliwoda-Pękosz, Kraków University of Economics, Poland
	Sun Magnetogram Hash for Fast Solar Image Retrieval Rafal Grycuk, Częstochowa University of Technology, Poland Rafal Scherer, Częstochowa University of Technology, Poland
	Symmetry Kernel for Graph Classification Yannick Kuhar, University of Ljubljana, Slovenia Uroš Čibej, University of Ljubljana, Slovenia
	The Crowd as a Source of Knowledge - From User Feedback to Fulfilling Requirements Anna Baj-Rogowska, Gdańsk University of Technology, Poland
	The Impact of Foreign Accents on the Performance of Whisper Family Models Using Medical Speech in Polish Szymon Zaporowski, Gdańsk University of Technology, Poland
	The Influence of Loss Function on Oblique Survival Tree Induction Malgorzata Kretowska, Białystok University of Technology, Poland Marek Kretowski, Białystok University of Technology, Poland
	The Reconstruction of Blowing Pressure in Pipe Organ Using Machine Learning Damian Węgrzyn, Polish-Japanese Academy of Information Technology, Poland Piotr Wrzeciono, Warsaw University of Life Sciences, Poland Alicja Wieczorkowska, Polish-Japanese Academy of Information Technology, Poland
	Voting Classifier using Discretisation in Aggregating Decisions Urszula Stanczyk, Silesian University of Technology, Poland Beata Zielosko, University of Silesia, Poland Grzegorz Baron, Silesian University of Technology, Poland

Track 4: Data Science and Machine Learning

Search

Browse

Author Corner

Links