Petr Hájek

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 52

Top Topics

Intuitionistic Fuzzy

Financial Distress

Top Venues

Neural Comput. Appl.

Publications

Fan Yang, Yanan Qiao, Petr Hájek, Mohammad Zoynul Abedin
Enhancing cardiovascular risk assessment with advanced data balancing and domain knowledge-driven explainability. Expert Syst. Appl. 255 (2024)
Petr Hájek, Josef Novotny
Beyond Sentiment in Stock Price Prediction: Integrating News Sentiment and Investor Attention with Temporal Fusion Transformer. AIAI (3) (2024)
Md. Iftekharul Alam Efat, Petr Hájek, Mohammad Zoynul Abedin, Rahat Uddin Azad, Md. Al Jaber, Shuvra Aditya, Mohammad Kabir Hassan
Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales. Ann. Oper. Res. 339 (1-2) (2024)
Petr Hájek, Michal Munk
Corporate financial distress prediction using the risk-related information content of annual reports. Inf. Process. Manag. 61 (5) (2024)
Md Shajalal, Petr Hájek, Mohammad Zoynul Abedin
Product backorder prediction using deep neural network on imbalanced data. Int. J. Prod. Res. 61 (1) (2023)
Petr Hájek, Vladimír Olej
Hierarchical Intuitionistic TSK Fuzzy System for Bitcoin Price Forecasting. FUZZ (2023)
Petr Hájek, Mohammad Zoynul Abedin, Uthayasankar Sivarajah
Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework. Inf. Syst. Frontiers 25 (5) (2023)
Petr Hájek, Michal Munk
Speech emotion recognition and text sentiment analysis for financial distress prediction. Neural Comput. Appl. 35 (29) (2023)
Petr Hájek, Josef Novotny
Fuzzy Rule-Based Prediction of Gold Prices using News Affect. Expert Syst. Appl. 193 (2022)
Petr Hájek
Speech Emotion Recognition from Earnings Conference Calls in Predicting Corporate Financial Distress. AIAI (1) (2022)
Petr Hájek, Wojciech Froelich, Vladimír Olej, Josef Novotny
Neural intuitionistic fuzzy system with justified granularity. Neural Comput. Appl. 34 (22) (2022)
Farhana Akter Sunny, Petr Hájek, Michal Munk, Mohammad Zoynul Abedin, Md. Shahriare Satu, Md. Iftekharul Alam Efat, Md. Jahidul Islam
A Systematic Review of Blockchain Applications. IEEE Access 10 (2022)
Mohammad Zoynul Abedin, Guotai Chi, Mohammed Mohi Uddin, Md. Shahriare Satu, Md. Imran Khan, Petr Hájek
Tax Default Prediction Using Feature Transformation-Based Machine Learning. IEEE Access 9 (2021)
Dasa Munková, Michal Munk, Lubomír Benko, Petr Hájek
The role of automated evaluation techniques in online professional translator training. PeerJ Comput. Sci. 7 (2021)
Petr Hájek, Aliaksandr Barushka, Michal Munk
Neural Networks with Emotion Associations, Topic Modeling and Supervised Term Weighting for Sentiment Analysis. Int. J. Neural Syst. 31 (10) (2021)
Petr Hájek, Vladimír Olej, Wojciech Froelich, Josef Novotny
Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices. AIAI (2021)
Jan Stejskal, Petr Hájek, Viktor Prokop
The role of library user preferences in the willingness to read and pay for e-books: case of the Czech Republic. Electron. Libr. 39 (4) (2021)
Jan Stejskal, Petr Hájek, Pavel Cerny
A novel methodology for surveying children for designing library services: A case study of the Municipal Library of Prague. J. Libr. Inf. Sci. 53 (2) (2021)
Abdelrahman Youssef, Petr Hájek
The Role of Smart Economy in Developing Smart Cities. ISCSIC (2021)
Aliaksandr Barushka, Petr Hájek
Spam detection on social networks using cost-sensitive feature selection and ensemble-based regularized deep neural networks. Neural Comput. Appl. 32 (9) (2020)
Petr Hájek, Aliaksandr Barushka, Michal Munk
Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations. AIAI (1) (2020)
Petr Hájek, Wojciech Froelich, Ondrej Prochazka
Intuitionistic fuzzy grey cognitive maps for forecasting interval-valued time series. Neurocomputing 400 (2020)
Wojciech Froelich, Petr Hájek
Combining Rough Set-based Relevance and Redundancy for the Ranking and Selection of Nominal Features. KES (2020)
Petr Hájek, Mohammad Zoynul Abedin
A Profit Function-Maximizing Inventory Backorder Prediction System Using Big Data Analytics. IEEE Access 8 (2020)
Petr Hájek, Aliaksandr Barushka, Michal Munk
Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining. Neural Comput. Appl. 32 (23) (2020)
Petr Hájek, Wojciech Froelich
Integrating TOPSIS with interval-valued intuitionistic fuzzy cognitive maps for effective group decision making. Inf. Sci. 485 (2019)
Petr Hájek
Interpretable Fuzzy Rule-Based Systems for Detecting Financial Statement Fraud. AIAI (2019)
Wojciech Froelich, Petr Hájek
IVIFCM-TOPSIS for Bank Credit Risk Assessment. KES-IDT (1) (2019)
Aliaksandr Barushka, Petr Hájek
Review Spam Detection Using Word Embeddings and Deep Neural Networks. AIAI (2019)
Monika Papousková, Petr Hájek
Modelling Loss Given Default in Peer-to-Peer Lending Using Random Forests. KES-IDT (1) (2019)
Petr Hájek, Roberto Henriques, Mauro Castelli, Leonardo Vanneschi
Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. Comput. Oper. Res. 106 (2019)
Evelyn Toseafa, Petr Hájek
Predicting Regional Credit Ratings Using Ensemble Classification with MetaCost. CSOC (2) (2019)
Monika Papousková, Petr Hájek
Two-stage consumer credit risk modelling using heterogeneous ensemble learning. Decis. Support Syst. 118 (2019)
Petr Hájek, Michaela Striteska, Viktor Prokop
Integrating Balanced Scorecard and Fuzzy TOPSIS for Innovation Performance Evaluation. PACIS (2018)
Petr Hájek
Combining bag-of-words and sentiment features of annual reports to predict abnormal stock returns. Neural Comput. Appl. 29 (7) (2018)
Aliaksandr Barushka, Petr Hájek
Spam filtering using integrated distribution-based balancing approach and regularized deep neural networks. Appl. Intell. 48 (10) (2018)
Petr Hájek, Ondrej Prochazka, Wojciech Froelich
Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting. EAIS (2018)
Jan Stejskal, Viktor Prokop, Petr Hájek
Leverage of Knowledge Sources in Firm Innovation Activities: The Case of European ICT Industries. PACIS (2018)
Petr Hájek, Vladimír Olej
Interval-Valued Intuitionistic Fuzzy Inference System for Supporting Corporate Financial Decisions. FUZZ-IEEE (2018)
Aliaksandr Barushka, Petr Hájek
Spam Filtering in Social Networks Using Regularized Deep Neural Networks with Ensemble Learning. AIAI (2018)
Petr Hájek
Predicting corporate investment/non-investment grade by using interval-valued fuzzy rule-based systems - A cross-region analysis. Appl. Soft Comput. 62 (2018)
Petr Hájek, Jan Stejskal
Library usage mining in the context of alternative costs: The case of the Municipal Library of Prague. Libr. Hi Tech 35 (4) (2017)
Petr Hájek, Ondrej Prochazka
Learning Interval-Valued Fuzzy Cognitive Maps with PSO Algorithm for Abnormal Stock Return Prediction. TPNC (2017)
Petr Hájek, Jan Stejskal
Innovation Paths in Knowledge Intensive Industries based on Fuzzy Set Qualitative Comparative Analysis. PACIS (2017)
Petr Hájek, Roberto Henriques
Mining corporate annual reports for intelligent detection of financial statement fraud - A comparative study of machine learning methods. Knowl. Based Syst. 128 (2017)
Petr Hájek, Ondrej Prochazka
Interval-Valued Intuitionistic Fuzzy Cognitive Maps for Supplier Selection. KES-IDT (1) (2017)
Petr Hájek, Vladimír Olej
Intuitionistic neuro-fuzzy network with evolutionary adaptation. Evol. Syst. 8 (1) (2017)
Richard Gardiner, Petr Hájek
Impact of GDP, Capital and Employment on Waste Generation-The Case of France, Germany and UK Regions. ICEME (2017)
Petr Hájek, Jana Bohácová
Predicting Abnormal Bank Stock Returns Using Textual Analysis of Annual Reports - a Neural Network Approach. EANN (2016)
Aliaksandr Barushka, Petr Hájek
Spam Filtering Using Regularized Neural Networks with Rectified Linear Units. AI*IA (2016)
Petr Hájek, Ondrej Prochazka
Interval-valued fuzzy cognitive maps for supporting business decisions. FUZZ-IEEE (2016)
Petr Hájek, Vladimír Olej, Ondrej Prochazka
Predicting Corporate Credit Ratings Using Content Analysis of Annual Reports - A Naïve Bayesian Network Approach. FinanceCom (2016)
Petr Hájek, Vladimír Olej, Renáta Mysková
Predicting Financial Distress of Banks Using Random Subspace Ensembles of Support Vector Machines. CSOC (1) (2015)
Ondrej Prochazka, Petr Hájek
Modelling Knowledge Management Processes Using Fuzzy Cognitive Maps. KMO (2015)
Petr Hájek, Vladimír Olej
Word Categorization of Corporate Annual Reports for Bankruptcy Prediction by Machine Learning Methods. TSD (2015)
Jan Stejskal, Petr Hájek
Modelling Knowledge Spillover Effects Using Moderated and Mediation Analysis - The Case of Czech High-Tech Industries. KMO (2015)
Petr Hájek, Vladimír Olej
Intuitionistic Fuzzy Neural Network: The Case of Credit Scoring Using Text Information. EANN (2015)
Petr Hájek, Lucie Mansfeldova
Assessing the Effect of Knowledge Management Initiatives on Stakeholder Objectives Using Fuzzy TOPSIS. KMO (2015)
Renáta Mysková, Petr Hájek
Novel Multi-word Lists for Investors' Decision Making. TSD (2015)
Petr Hájek, Jan Stejskal
Modelling public library value using the contingent valuation method: The case of the Municipal Library of Prague. J. Libr. Inf. Sci. 47 (1) (2015)
Petr Hájek, Vladimír Olej
Defuzzification methods in intuitionistic fuzzy inference systems of Takagi-Sugeno type: The case of corporate bankruptcy prediction. FSKD (2014)
Petr Hájek, Vladimír Olej
Comparing corporate financial performance and qualitative information from annual reports using self-organizing maps. ICNC (2014)
Petr Hájek, Vladimír Olej
Predicting Firms' Credit Ratings Using Ensembles of Artificial Immune Systems and Machine Learning - An Over-Sampling Approach. AIAI (2014)
Petr Hájek, Krzysztof Michalak
Feature selection in corporate credit rating prediction. Knowl. Based Syst. 51 (2013)
Petr Hájek, Vladimír Olej
Evaluating Sentiment in Annual Reports for Financial Distress Prediction Using Neural Networks and Support Vector Machines. EANN (2) (2013)
Petr Hájek, Vladimír Olej
Prediction of Air Quality Indices by Neural Networks and Fuzzy Inference Systems - The Case of Pardubice Microregion. EANN (1) (2013)
Petr Hájek, Vladimír Olej
Adaptive Intuitionistic Fuzzy Inference Systems of Takagi-Sugeno Type for Regression Problems. AIAI (1) (2012)
Petr Hájek
Credit rating analysis using adaptive fuzzy rule-based systems: an industry-specific approach. Central Eur. J. Oper. Res. 20 (3) (2012)
Petr Hájek, Vladimír Olej
Ozone prediction on the basis of neural networks, support vector regression and methods with uncertainty. Ecol. Informatics 12 (2012)
Vladimír Olej, Petr Hájek
Comparison of Fuzzy Operators for IF-Inference Systems of Takagi-Sugeno Type in Ozone Prediction. EANN/AIAI (2) (2011)
Petr Hájek, Vladimír Olej
Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning. Neural Comput. Appl. 20 (6) (2011)
Petr Hájek
Municipal credit rating modelling by neural networks. Decis. Support Syst. 51 (1) (2011)
Vladimír Olej, Petr Hájek
IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region. ICANN (1) (2010)
Petr Hájek
Probabilistic Neural Networks for Credit Rating Modelling. IJCCI (ICFC-ICNC) (2010)
Vladimír Olej, Petr Hájek
Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters. ICANN (2) (2009)
Petr Hájek, Vladimír Olej
Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning. EANN (2009)
Petr Hájek, Vladimír Olej
Municipal Creditworthiness Modelling by Kohonen's Self-Organizing Feature Maps and Fuzzy Logic Neural Networks. ICANN (1) (2008)
Petr Hájek, Vladimír Olej
Municipal Creditworthiness Modelling by Kohonen's Self-organizing Feature Maps and LVQ Neural Networks. ICAISC (2008)