Municipal Creditworthiness Modelling by Kohonen's Self-organizing Feature Maps and LVQ Neural Networks. - Petr Hájek 002; Vladimír Olej (ICAISC, 2008)

Municipal Creditworthiness Modelling by Kohonen's Self-Organizing Feature Maps and Fuzzy Logic Neural Networks. - Petr Hájek 002; Vladimír Olej (ICANN (1), 2008)

Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning. - Petr Hájek 002; Vladimír Olej (EANN, 2009)

Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters. - Vladimír Olej; Petr Hájek 002 (ICANN (2), 2009)

IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region. - Vladimír Olej; Petr Hájek 002 (ICANN (1), 2010)

Probabilistic Neural Networks for Credit Rating Modelling. - Petr Hájek 002 (IJCCI (ICFC-ICNC), 2010)

Comparison of Fuzzy Operators for IF-Inference Systems of Takagi-Sugeno Type in Ozone Prediction. - Vladimír Olej; Petr Hájek 002 (AIAI, 2011)

Municipal credit rating modelling by neural networks. - Petr Hájek 002 (Decis. Support Syst., 2011)

Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning. - Petr Hájek 002; Vladimír Olej (Neural Comput. Appl., 2011)

Adaptive Intuitionistic Fuzzy Inference Systems of Takagi-Sugeno Type for Regression Problems. - Petr Hájek 002; Vladimír Olej (AIAI (1), 2012)

Credit rating analysis using adaptive fuzzy rule-based systems: an industry-specific approach. - Petr Hájek 002 (Central Eur. J. Oper. Res., 2012)

Ozone prediction on the basis of neural networks, support vector regression and methods with uncertainty. - Petr Hájek 002; Vladimír Olej (Ecol. Informatics, 2012)

Prediction of Air Quality Indices by Neural Networks and Fuzzy Inference Systems - The Case of Pardubice Microregion. - Petr Hájek 002; Vladimír Olej (EANN (1), 2013)

Evaluating Sentiment in Annual Reports for Financial Distress Prediction Using Neural Networks and Support Vector Machines. - Petr Hájek 002; Vladimír Olej (EANN (2), 2013)

Feature selection in corporate credit rating prediction. - Petr Hájek 002; Krzysztof Michalak (Knowl. Based Syst., 2013)

Defuzzification methods in intuitionistic fuzzy inference systems of Takagi-Sugeno type: The case of corporate bankruptcy prediction. - Petr Hájek 002; Vladimír Olej (FSKD, 2014)

Comparing corporate financial performance and qualitative information from annual reports using self-organizing maps. - Petr Hájek 002; Vladimír Olej (ICNC, 2014)

Predicting Firms' Credit Ratings Using Ensembles of Artificial Immune Systems and Machine Learning - An Over-Sampling Approach. - Petr Hájek 002; Vladimír Olej (AIAI, 2014)

Predicting Financial Distress of Banks Using Random Subspace Ensembles of Support Vector Machines. - Petr Hájek 002; Vladimír Olej; Renáta Mysková (CSOC (1), 2015)

Intuitionistic Fuzzy Neural Network: The Case of Credit Scoring Using Text Information. - Petr Hájek 002; Vladimír Olej (EANN, 2015)

Assessing the Effect of Knowledge Management Initiatives on Stakeholder Objectives Using Fuzzy TOPSIS. - Petr Hájek 002; Lucie Mansfeldova (KMO, 2015)

Modelling Knowledge Management Processes Using Fuzzy Cognitive Maps. - Ondrej Prochazka; Petr Hájek 002 (KMO, 2015)

Modelling Knowledge Spillover Effects Using Moderated and Mediation Analysis - The Case of Czech High-Tech Industries. - Jan Stejskal; Petr Hájek 002 (KMO, 2015)

Word Categorization of Corporate Annual Reports for Bankruptcy Prediction by Machine Learning Methods. - Petr Hájek 002; Vladimír Olej (TSD, 2015)

Novel Multi-word Lists for Investors' Decision Making. - Renáta Mysková; Petr Hájek 002 (TSD, 2015)

Modelling public library value using the contingent valuation method: The case of the Municipal Library of Prague. - Petr Hájek 002; Jan Stejskal (J. Libr. Inf. Sci., 2015)

Spam Filtering Using Regularized Neural Networks with Rectified Linear Units. - Aliaksandr Barushka; Petr Hájek 002 (AI*IA, 2016)

Predicting Abnormal Bank Stock Returns Using Textual Analysis of Annual Reports - a Neural Network Approach. - Petr Hájek 002; Jana Bohácová (EANN, 2016)

Predicting Corporate Credit Ratings Using Content Analysis of Annual Reports - A Naïve Bayesian Network Approach. - Petr Hájek 002; Vladimír Olej; Ondrej Prochazka (FinanceCom, 2016)

Interval-valued fuzzy cognitive maps for supporting business decisions. - Petr Hájek 002; Ondrej Prochazka (FUZZ-IEEE, 2016)

Impact of GDP, Capital and Employment on Waste Generation-The Case of France, Germany and UK Regions. - Richard Gardiner; Petr Hájek 002 (ICEME, 2017)

Interval-Valued Intuitionistic Fuzzy Cognitive Maps for Supplier Selection. - Petr Hájek 002; Ondrej Prochazka (KES-IDT (1), 2017)

Innovation Paths in Knowledge Intensive Industries based on Fuzzy Set Qualitative Comparative Analysis. - Petr Hájek 002; Jan Stejskal (PACIS, 2017)

Learning Interval-Valued Fuzzy Cognitive Maps with PSO Algorithm for Abnormal Stock Return Prediction. - Petr Hájek 002; Ondrej Prochazka (TPNC, 2017)

Intuitionistic neuro-fuzzy network with evolutionary adaptation. - Petr Hájek 002; Vladimír Olej (Evol. Syst., 2017)

Mining corporate annual reports for intelligent detection of financial statement fraud - A comparative study of machine learning methods. - Petr Hájek 002; Roberto Henriques (Knowl. Based Syst., 2017)

Library usage mining in the context of alternative costs: The case of the Municipal Library of Prague. - Petr Hájek 002; Jan Stejskal (Libr. Hi Tech, 2017)

Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting. - Petr Hájek 002; Ondrej Prochazka; Wojciech Froelich (EAIS, 2018)

Interval-Valued Intuitionistic Fuzzy Inference System for Supporting Corporate Financial Decisions. - Petr Hájek 002; Vladimír Olej (FUZZ-IEEE, 2018)

Spam Filtering in Social Networks Using Regularized Deep Neural Networks with Ensemble Learning. - Aliaksandr Barushka; Petr Hájek 002 (AIAI, 2018)

Integrating Balanced Scorecard and Fuzzy TOPSIS for Innovation Performance Evaluation. - Petr Hájek 002; Michaela Striteska; Viktor Prokop (PACIS, 2018)

Leverage of Knowledge Sources in Firm Innovation Activities: The Case of European ICT Industries. - Jan Stejskal; Viktor Prokop; Petr Hájek 002 (PACIS, 2018)

Spam filtering using integrated distribution-based balancing approach and regularized deep neural networks. - Aliaksandr Barushka; Petr Hájek 002 (Appl. Intell., 2018)

Predicting corporate investment/non-investment grade by using interval-valued fuzzy rule-based systems - A cross-region analysis. - Petr Hájek 002 (Appl. Soft Comput., 2018)

Combining bag-of-words and sentiment features of annual reports to predict abnormal stock returns. - Petr Hájek 002 (Neural Comput. Appl., 2018)

Predicting Regional Credit Ratings Using Ensemble Classification with MetaCost. - Evelyn Toseafa; Petr Hájek 002 (CSOC (2), 2019)

Review Spam Detection Using Word Embeddings and Deep Neural Networks. - Aliaksandr Barushka; Petr Hájek 002 (AIAI, 2019)

Interpretable Fuzzy Rule-Based Systems for Detecting Financial Statement Fraud. - Petr Hájek 002 (AIAI, 2019)

IVIFCM-TOPSIS for Bank Credit Risk Assessment. - Wojciech Froelich; Petr Hájek 002 (KES-IDT (1), 2019)

Modelling Loss Given Default in Peer-to-Peer Lending Using Random Forests. - Monika Papousková; Petr Hájek 002 (KES-IDT (1), 2019)

Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. - Petr Hájek 002; Roberto Henriques; Mauro Castelli; Leonardo Vanneschi (Comput. Oper. Res., 2019)

Two-stage consumer credit risk modelling using heterogeneous ensemble learning. - Monika Papousková; Petr Hájek 002 (Decis. Support Syst., 2019)

Integrating TOPSIS with interval-valued intuitionistic fuzzy cognitive maps for effective group decision making. - Petr Hájek 002; Wojciech Froelich (Inf. Sci., 2019)

Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations. - Petr Hájek 002; Aliaksandr Barushka; Michal Munk (AIAI (1), 2020)

Combining Rough Set-based Relevance and Redundancy for the Ranking and Selection of Nominal Features. - Wojciech Froelich; Petr Hájek 002 (KES, 2020)

A Profit Function-Maximizing Inventory Backorder Prediction System Using Big Data Analytics. - Petr Hájek 002; Mohammad Zoynul Abedin (IEEE Access, 2020)

Intuitionistic fuzzy grey cognitive maps for forecasting interval-valued time series. - Petr Hájek 002; Wojciech Froelich; Ondrej Prochazka (Neurocomputing, 2020)

Spam detection on social networks using cost-sensitive feature selection and ensemble-based regularized deep neural networks. - Aliaksandr Barushka; Petr Hájek 002 (Neural Comput. Appl., 2020)

Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining. - Petr Hájek 002; Aliaksandr Barushka; Michal Munk (Neural Comput. Appl., 2020)

Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices. - Petr Hájek 002; Vladimír Olej; Wojciech Froelich; Josef Novotny (AIAI, 2021)

The Role of Smart Economy in Developing Smart Cities. - Abdelrahman Youssef; Petr Hájek 002 (ISCSIC, 2021)

Tax Default Prediction Using Feature Transformation-Based Machine Learning. - Mohammad Zoynul Abedin; Guotai Chi; Mohammed Mohi Uddin; Md. Shahriare Satu; Md. Imran Khan; Petr Hájek 002 (IEEE Access, 2021)

The role of library user preferences in the willingness to read and pay for e-books: case of the Czech Republic. - Jan Stejskal; Petr Hájek 002; Viktor Prokop (Electron. Libr., 2021)

Neural Networks with Emotion Associations, Topic Modeling and Supervised Term Weighting for Sentiment Analysis. - Petr Hájek 002; Aliaksandr Barushka; Michal Munk (Int. J. Neural Syst., 2021)

A novel methodology for surveying children for designing library services: A case study of the Municipal Library of Prague. - Jan Stejskal; Petr Hájek 002; Pavel Cerny (J. Libr. Inf. Sci., 2021)

The role of automated evaluation techniques in online professional translator training. - Dasa Munková; Michal Munk; Lubomír Benko; Petr Hájek 002 (PeerJ Comput. Sci., 2021)

Speech Emotion Recognition from Earnings Conference Calls in Predicting Corporate Financial Distress. - Petr Hájek 002 (AIAI (1), 2022)

A Systematic Review of Blockchain Applications. - Farhana Akter Sunny; Petr Hájek 002; Michal Munk; Mohammad Zoynul Abedin; Md. Shahriare Satu; Md. Iftekharul Alam Efat; Md. Jahidul Islam (IEEE Access, 2022)

Fuzzy Rule-Based Prediction of Gold Prices using News Affect. - Petr Hájek 002; Josef Novotny (Expert Syst. Appl., 2022)

Neural intuitionistic fuzzy system with justified granularity. - Petr Hájek 002; Wojciech Froelich; Vladimír Olej; Josef Novotny (Neural Comput. Appl., 2022)

Hierarchical Intuitionistic TSK Fuzzy System for Bitcoin Price Forecasting. - Petr Hájek 002; Vladimír Olej (FUZZ, 2023)

Product backorder prediction using deep neural network on imbalanced data. - Md Shajalal; Petr Hájek 002; Mohammad Zoynul Abedin (Int. J. Prod. Res., 2023)

Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework. - Petr Hájek 002; Mohammad Zoynul Abedin; Uthayasankar Sivarajah (Inf. Syst. Frontiers, 2023)

Speech emotion recognition and text sentiment analysis for financial distress prediction. - Petr Hájek 002; Michal Munk (Neural Comput. Appl., 2023)

Enhancing Financial Predictions with ESG Linguistic Features: A Comparative Study of German Companies. - Petr Hájek 002; Piotr Pachura (ARTIIS (3), 2024)

Beyond Sentiment in Stock Price Prediction: Integrating News Sentiment and Investor Attention with Temporal Fusion Transformer. - Petr Hájek 002; Josef Novotny (AIAI (3), 2024)

Detecting Antisocial Behavior on Social Media During COVID-19 Lockdown. - Andrew Asante; Petr Hájek 002 (NiDS, 2024)

Detection of IoT Cyberattacks in Smart Cities: A Comparative Analysis of Deep Learning and Ensemble Learning Methods. - Zeru Kifle Kebede; Petr Hájek 002 (NiDS, 2024)

An explainable federated learning and blockchain-based secure credit modeling method. - Fan Yang 033; Mohammad Zoynul Abedin; Petr Hájek 002 (Eur. J. Oper. Res., 2024)

Enhancing cardiovascular risk assessment with advanced data balancing and domain knowledge-driven explainability. - Fan Yang 033; Yanan Qiao; Petr Hájek 002; Mohammad Zoynul Abedin (Expert Syst. Appl., 2024)

Corporate financial distress prediction using the risk-related information content of annual reports. - Petr Hájek 002; Michal Munk (Inf. Process. Manag., 2024)

Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales. - Md. Iftekharul Alam Efat; Petr Hájek 002; Mohammad Zoynul Abedin; Rahat Uddin Azad; Md. Al Jaber; Shuvra Aditya; Mohammad Kabir Hassan (Ann. Oper. Res., 2024)

Blockchain and Machine Learning in the Green Economy: Pioneering Carbon Neutrality Through Innovative Trading Technologies. - Fan Yang 033; Mohammad Zoynul Abedin; Petr Hájek 002; Yanan Qiao (IEEE Trans. Engineering Management, 2025)

Deep learning-based exchange rate prediction during the COVID-19 pandemic. - Mohammad Zoynul Abedin; Mahmudul Hasan Moon; Mohammad Kabir Hassan; Petr Hájek 002 (Ann. Oper. Res., 2025)

The role of news-based sentiment in forecasting crude oil price during the Covid-19 pandemic. - Jean-Michel Sahut; Petr Hájek 002; Vladimír Olej; Lubica Hikkerova (Ann. Oper. Res., 2025)

An interpretable system for predicting the impact of COVID-19 government interventions on stock market sectors. - Cai Yang; Mohammad Zoynul Abedin; Hongwei Zhang; Futian Weng; Petr Hájek 002 (Ann. Oper. Res., 2025)