Petr Hájek
Orcid: 0000-0001-5579-1215Affiliations:
- University of Pardubice, Czech Republic
According to our database1,
Petr Hájek
authored at least 81 papers
between 2008 and 2024.
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Online presence:
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on zbmath.org
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on orcid.org
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on upce.cz
On csauthors.net:
Bibliography
2024
Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales.
Ann. Oper. Res., August, 2024
Corporate financial distress prediction using the risk-related information content of annual reports.
Inf. Process. Manag., 2024
Enhancing cardiovascular risk assessment with advanced data balancing and domain knowledge-driven explainability.
Expert Syst. Appl., 2024
An explainable federated learning and blockchain-based secure credit modeling method.
Eur. J. Oper. Res., 2024
Detection of IoT Cyberattacks in Smart Cities: A Comparative Analysis of Deep Learning and Ensemble Learning Methods.
Proceedings of the Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference, 2024
Proceedings of the Novel and Intelligent Digital Systems: Proceedings of the 4th International Conference, 2024
Beyond Sentiment in Stock Price Prediction: Integrating News Sentiment and Investor Attention with Temporal Fusion Transformer.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024
2023
Speech emotion recognition and text sentiment analysis for financial distress prediction.
Neural Comput. Appl., October, 2023
Inf. Syst. Frontiers, October, 2023
Int. J. Prod. Res., 2023
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
2022
Neural Comput. Appl., 2022
Expert Syst. Appl., 2022
Speech Emotion Recognition from Earnings Conference Calls in Predicting Corporate Financial Distress.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
2021
The role of automated evaluation techniques in online professional translator training.
PeerJ Comput. Sci., 2021
A novel methodology for surveying children for designing library services: A case study of the Municipal Library of Prague.
J. Libr. Inf. Sci., 2021
Neural Networks with Emotion Associations, Topic Modeling and Supervised Term Weighting for Sentiment Analysis.
Int. J. Neural Syst., 2021
The role of library user preferences in the willingness to read and pay for e-books: case of the Czech Republic.
Electron. Libr., 2021
IEEE Access, 2021
Proceedings of the 2021 International Symposium on Computer Science and Intelligent Control, 2021
Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
2020
Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining.
Neural Comput. Appl., 2020
Spam detection on social networks using cost-sensitive feature selection and ensemble-based regularized deep neural networks.
Neural Comput. Appl., 2020
Intuitionistic fuzzy grey cognitive maps for forecasting interval-valued time series.
Neurocomputing, 2020
A Profit Function-Maximizing Inventory Backorder Prediction System Using Big Data Analytics.
IEEE Access, 2020
Combining Rough Set-based Relevance and Redundancy for the Ranking and Selection of Nominal Features.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020
Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
2019
Integrating TOPSIS with interval-valued intuitionistic fuzzy cognitive maps for effective group decision making.
Inf. Sci., 2019
Decis. Support Syst., 2019
Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer.
Comput. Oper. Res., 2019
Proceedings of the Intelligent Decision Technologies 2019, 2019
Proceedings of the Intelligent Decision Technologies 2019, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
Proceedings of the Artificial Intelligence Methods in Intelligent Algorithms, 2019
2018
Combining bag-of-words and sentiment features of annual reports to predict abnormal stock returns.
Neural Comput. Appl., 2018
Predicting corporate investment/non-investment grade by using interval-valued fuzzy rule-based systems - A cross-region analysis.
Appl. Soft Comput., 2018
Spam filtering using integrated distribution-based balancing approach and regularized deep neural networks.
Appl. Intell., 2018
Leverage of Knowledge Sources in Firm Innovation Activities: The Case of European ICT Industries.
Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018
Integrating Balanced Scorecard and Fuzzy TOPSIS for Innovation Performance Evaluation.
Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018
Spam Filtering in Social Networks Using Regularized Deep Neural Networks with Ensemble Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
Interval-Valued Intuitionistic Fuzzy Inference System for Supporting Corporate Financial Decisions.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018
2017
Library usage mining in the context of alternative costs: The case of the Municipal Library of Prague.
Libr. Hi Tech, 2017
Mining corporate annual reports for intelligent detection of financial statement fraud - A comparative study of machine learning methods.
Knowl. Based Syst., 2017
Learning Interval-Valued Fuzzy Cognitive Maps with PSO Algorithm for Abnormal Stock Return Prediction.
Proceedings of the Theory and Practice of Natural Computing - 6th International Conference, 2017
Innovation Paths in Knowledge Intensive Industries based on Fuzzy Set Qualitative Comparative Analysis.
Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017
Impact of GDP, Capital and Employment on Waste Generation-The Case of France, Germany and UK Regions.
Proceedings of the 8th International Conference on E-business, Management and Economics, 2017
2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Predicting Corporate Credit Ratings Using Content Analysis of Annual Reports - A Naïve Bayesian Network Approach.
Proceedings of the Enterprise Applications, Markets and Services in the Finance Industry, 2016
Predicting Abnormal Bank Stock Returns Using Textual Analysis of Annual Reports - a Neural Network Approach.
Proceedings of the Engineering Applications of Neural Networks, 2016
Proceedings of the AI*IA 2016: Advances in Artificial Intelligence - XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29, 2016
2015
Modelling public library value using the contingent valuation method: The case of the Municipal Library of Prague.
J. Libr. Inf. Sci., 2015
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015
Word Categorization of Corporate Annual Reports for Bankruptcy Prediction by Machine Learning Methods.
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015
Modelling Knowledge Spillover Effects Using Moderated and Mediation Analysis - The Case of Czech High-Tech Industries.
Proceedings of the Knowledge Management in Organizations - 10th International Conference, 2015
Proceedings of the Knowledge Management in Organizations - 10th International Conference, 2015
Assessing the Effect of Knowledge Management Initiatives on Stakeholder Objectives Using Fuzzy TOPSIS.
Proceedings of the Knowledge Management in Organizations - 10th International Conference, 2015
Intuitionistic Fuzzy Neural Network: The Case of Credit Scoring Using Text Information.
Proceedings of the Engineering Applications of Neural Networks, 2015
Predicting Financial Distress of Banks Using Random Subspace Ensembles of Support Vector Machines.
Proceedings of the Artificial Intelligence Perspectives and Applications, 2015
2014
Predicting Firms' Credit Ratings Using Ensembles of Artificial Immune Systems and Machine Learning - An Over-Sampling Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014
Comparing corporate financial performance and qualitative information from annual reports using self-organizing maps.
Proceedings of the 10th International Conference on Natural Computation, 2014
Defuzzification methods in intuitionistic fuzzy inference systems of Takagi-Sugeno type: The case of corporate bankruptcy prediction.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014
2013
Evaluating Sentiment in Annual Reports for Financial Distress Prediction Using Neural Networks and Support Vector Machines.
Proceedings of the Engineering Applications of Neural Networks, 2013
Prediction of Air Quality Indices by Neural Networks and Fuzzy Inference Systems - The Case of Pardubice Microregion.
Proceedings of the Engineering Applications of Neural Networks, 2013
2012
Ozone prediction on the basis of neural networks, support vector regression and methods with uncertainty.
Ecol. Informatics, 2012
Credit rating analysis using adaptive fuzzy rule-based systems: an industry-specific approach.
Central Eur. J. Oper. Res., 2012
Adaptive Intuitionistic Fuzzy Inference Systems of Takagi-Sugeno Type for Regression Problems.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012
2011
Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning.
Neural Comput. Appl., 2011
Comparison of Fuzzy Operators for IF-Inference Systems of Takagi-Sugeno Type in Ozone Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011
2010
Probabilistic Neural Networks for Credit Rating Modelling.
Proceedings of the ICFC-ICNC 2010, 2010
IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
2009
Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters.
Proceedings of the Artificial Neural Networks, 2009
Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning.
Proceedings of the Engineering Applications of Neural Networks, 2009
2008
Municipal Creditworthiness Modelling by Kohonen's Self-Organizing Feature Maps and Fuzzy Logic Neural Networks.
Proceedings of the Artificial Neural Networks, 2008
Municipal Creditworthiness Modelling by Kohonen's Self-organizing Feature Maps and LVQ Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2008