default search action
Petr Hájek 0002
Person information
- affiliation: University of Pardubice, Czech Republic
Other persons with the same name
- Petr Hájek 0001 — Czech Academy of Sciences, Institute of Computer Science (ICS), Prague, Czech Republic
- Petr Hájek 0003
— Brno University of Technology, Czech Republic (and 1 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j34]Md. Iftekharul Alam Efat, Petr Hájek
Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales. Ann. Oper. Res. 339(1-2): 297-328 (2024) - [j33]Fan Yang
An explainable federated learning and blockchain-based secure credit modeling method. Eur. J. Oper. Res. 317(2): 449-467 (2024) - [j32]Fan Yang
Enhancing cardiovascular risk assessment with advanced data balancing and domain knowledge-driven explainability. Expert Syst. Appl. 255: 124886 (2024) - [j31]Petr Hájek
Corporate financial distress prediction using the risk-related information content of annual reports. Inf. Process. Manag. 61(5): 103820 (2024) - [c47]Petr Hájek
Beyond Sentiment in Stock Price Prediction: Integrating News Sentiment and Investor Attention with Temporal Fusion Transformer. AIAI (3) 2024: 30-43 - [c46]Andrew Asante
Detecting Antisocial Behavior on Social Media During COVID-19 Lockdown. NiDS 2024: 189-200 - [c45]Zeru Kifle Kebede, Petr Hájek
Detection of IoT Cyberattacks in Smart Cities: A Comparative Analysis of Deep Learning and Ensemble Learning Methods. NiDS 2024: 549-560 - 2023
- [j30]Md Shajalal
Product backorder prediction using deep neural network on imbalanced data. Int. J. Prod. Res. 61(1): 302-319 (2023) - [j29]Petr Hájek
Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework. Inf. Syst. Frontiers 25(5): 1985-2003 (2023) - [j28]Petr Hájek
Speech emotion recognition and text sentiment analysis for financial distress prediction. Neural Comput. Appl. 35(29): 21463-21477 (2023) - [c44]Petr Hájek, Vladimír Olej:
Hierarchical Intuitionistic TSK Fuzzy System for Bitcoin Price Forecasting. FUZZ 2023: 1-6 - 2022
- [j27]Farhana Akter Sunny
A Systematic Review of Blockchain Applications. IEEE Access 10: 59155-59177 (2022) - [j26]Petr Hájek
Fuzzy Rule-Based Prediction of Gold Prices using News Affect. Expert Syst. Appl. 193: 116487 (2022) - [j25]Petr Hájek
Neural intuitionistic fuzzy system with justified granularity. Neural Comput. Appl. 34(22): 19423-19439 (2022) - [c43]Petr Hájek
Speech Emotion Recognition from Earnings Conference Calls in Predicting Corporate Financial Distress. AIAI (1) 2022: 216-228 - 2021
- [j24]Mohammad Zoynul Abedin
Tax Default Prediction Using Feature Transformation-Based Machine Learning. IEEE Access 9: 19864-19881 (2021) - [j23]Jan Stejskal, Petr Hájek
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): 639-660 (2021) - [j22]Petr Hájek
Neural Networks with Emotion Associations, Topic Modeling and Supervised Term Weighting for Sentiment Analysis. Int. J. Neural Syst. 31(10): 2150013:1-2150013:18 (2021) - [j21]Jan Stejskal
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) - [j20]Dasa Munková
The role of automated evaluation techniques in online professional translator training. PeerJ Comput. Sci. 7: e706 (2021) - [c42]Petr Hájek
Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices. AIAI 2021: 411-422 - [c41]Abdelrahman Youssef, Petr Hájek
The Role of Smart Economy in Developing Smart Cities. ISCSIC 2021: 276-279 - 2020
- [j19]Petr Hájek
A Profit Function-Maximizing Inventory Backorder Prediction System Using Big Data Analytics. IEEE Access 8: 58982-58994 (2020) - [j18]Petr Hájek
Intuitionistic fuzzy grey cognitive maps for forecasting interval-valued time series. Neurocomputing 400: 173-185 (2020) - [j17]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): 4239-4257 (2020) - [j16]Petr Hájek
Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining. Neural Comput. Appl. 32(23): 17259-17274 (2020) - [c40]Petr Hájek
Opinion Mining of Consumer Reviews Using Deep Neural Networks with Word-Sentiment Associations. AIAI (1) 2020: 419-429 - [c39]Wojciech Froelich, Petr Hájek:
Combining Rough Set-based Relevance and Redundancy for the Ranking and Selection of Nominal Features. KES 2020: 1459-1468
2010 – 2019
- 2019
- [j15]Petr Hájek
Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer. Comput. Oper. Res. 106: 179-190 (2019) - [j14]Monika Papousková, Petr Hájek
Two-stage consumer credit risk modelling using heterogeneous ensemble learning. Decis. Support Syst. 118: 33-45 (2019) - [j13]Petr Hájek
Integrating TOPSIS with interval-valued intuitionistic fuzzy cognitive maps for effective group decision making. Inf. Sci. 485: 394-412 (2019) - [c38]Evelyn Toseafa, Petr Hájek
Predicting Regional Credit Ratings Using Ensemble Classification with MetaCost. CSOC (2) 2019: 332-342 - [c37]Aliaksandr Barushka, Petr Hájek:
Review Spam Detection Using Word Embeddings and Deep Neural Networks. AIAI 2019: 340-350 - [c36]Petr Hájek
Interpretable Fuzzy Rule-Based Systems for Detecting Financial Statement Fraud. AIAI 2019: 425-436 - [c35]Wojciech Froelich, Petr Hájek:
IVIFCM-TOPSIS for Bank Credit Risk Assessment. KES-IDT (1) 2019: 99-108 - [c34]Monika Papousková, Petr Hájek:
Modelling Loss Given Default in Peer-to-Peer Lending Using Random Forests. KES-IDT (1) 2019: 133-141 - 2018
- [j12]Aliaksandr Barushka, Petr Hájek
Spam filtering using integrated distribution-based balancing approach and regularized deep neural networks. Appl. Intell. 48(10): 3538-3556 (2018) - [j11]Petr Hájek
Predicting corporate investment/non-investment grade by using interval-valued fuzzy rule-based systems - A cross-region analysis. Appl. Soft Comput. 62: 73-85 (2018) - [j10]Petr Hájek
Combining bag-of-words and sentiment features of annual reports to predict abnormal stock returns. Neural Comput. Appl. 29(7): 343-358 (2018) - [c33]Petr Hájek, Ondrej Prochazka, Wojciech Froelich
Interval-valued intuitionistic fuzzy cognitive maps for stock index forecasting. EAIS 2018: 1-7 - [c32]Petr Hájek
Interval-Valued Intuitionistic Fuzzy Inference System for Supporting Corporate Financial Decisions. FUZZ-IEEE 2018: 1-7 - [c31]Aliaksandr Barushka, Petr Hájek
Spam Filtering in Social Networks Using Regularized Deep Neural Networks with Ensemble Learning. AIAI 2018: 38-49 - [c30]Jan Stejskal, Viktor Prokop, Petr Hájek:
Leverage of Knowledge Sources in Firm Innovation Activities: The Case of European ICT Industries. PACIS 2018: 25 - [c29]Petr Hájek, Michaela Striteska, Viktor Prokop:
Integrating Balanced Scorecard and Fuzzy TOPSIS for Innovation Performance Evaluation. PACIS 2018: 26 - 2017
- [j9]Petr Hájek
Intuitionistic neuro-fuzzy network with evolutionary adaptation. Evol. Syst. 8(1): 35-47 (2017) - [j8]Petr Hájek
Mining corporate annual reports for intelligent detection of financial statement fraud - A comparative study of machine learning methods. Knowl. Based Syst. 128: 139-152 (2017) - [j7]Petr Hájek
Library usage mining in the context of alternative costs: The case of the Municipal Library of Prague. Libr. Hi Tech 35(4): 565-583 (2017) - [c28]Richard Gardiner, Petr Hájek
Impact of GDP, Capital and Employment on Waste Generation-The Case of France, Germany and UK Regions. ICEME 2017: 94-97 - [c27]Petr Hájek
Interval-Valued Intuitionistic Fuzzy Cognitive Maps for Supplier Selection. KES-IDT (1) 2017: 207-217 - [c26]Petr Hájek, Jan Stejskal:
Innovation Paths in Knowledge Intensive Industries based on Fuzzy Set Qualitative Comparative Analysis. PACIS 2017: 287 - [c25]Petr Hájek
Learning Interval-Valued Fuzzy Cognitive Maps with PSO Algorithm for Abnormal Stock Return Prediction. TPNC 2017: 113-125 - 2016
- [c24]Aliaksandr Barushka, Petr Hájek
Spam Filtering Using Regularized Neural Networks with Rectified Linear Units. AI*IA 2016: 65-75 - [c23]Petr Hájek
Predicting Abnormal Bank Stock Returns Using Textual Analysis of Annual Reports - a Neural Network Approach. EANN 2016: 67-78 - [c22]Petr Hájek
Predicting Corporate Credit Ratings Using Content Analysis of Annual Reports - A Naïve Bayesian Network Approach. FinanceCom 2016: 47-61 - [c21]Petr Hájek
Interval-valued fuzzy cognitive maps for supporting business decisions. FUZZ-IEEE 2016: 531-536 - 2015
- [j6]Petr Hájek
Modelling public library value using the contingent valuation method: The case of the Municipal Library of Prague. J. Libr. Inf. Sci. 47(1): 43-55 (2015) - [c20]Petr Hájek
Predicting Financial Distress of Banks Using Random Subspace Ensembles of Support Vector Machines. CSOC (1) 2015: 131-140 - [c19]Petr Hájek
Intuitionistic Fuzzy Neural Network: The Case of Credit Scoring Using Text Information. EANN 2015: 337-346 - [c18]Ondrej Prochazka, Petr Hájek
Modelling Knowledge Management Processes Using Fuzzy Cognitive Maps. KMO 2015: 41-50 - [c17]Petr Hájek
Assessing the Effect of Knowledge Management Initiatives on Stakeholder Objectives Using Fuzzy TOPSIS. KMO 2015: 60-70 - [c16]Jan Stejskal, Petr Hájek
Modelling Knowledge Spillover Effects Using Moderated and Mediation Analysis - The Case of Czech High-Tech Industries. KMO 2015: 329-341 - [c15]Petr Hájek
Word Categorization of Corporate Annual Reports for Bankruptcy Prediction by Machine Learning Methods. TSD 2015: 122-130 - [c14]Renáta Mysková, Petr Hájek
Novel Multi-word Lists for Investors' Decision Making. TSD 2015: 131-139 - 2014
- [c13]Petr Hájek
Defuzzification methods in intuitionistic fuzzy inference systems of Takagi-Sugeno type: The case of corporate bankruptcy prediction. FSKD 2014: 232-236 - [c12]Petr Hájek
Comparing corporate financial performance and qualitative information from annual reports using self-organizing maps. ICNC 2014: 93-98 - [c11]Petr Hájek, Vladimír Olej:
Predicting Firms' Credit Ratings Using Ensembles of Artificial Immune Systems and Machine Learning - An Over-Sampling Approach. AIAI 2014: 29-38 - 2013
- [j5]Petr Hájek
Feature selection in corporate credit rating prediction. Knowl. Based Syst. 51: 72-84 (2013) - [c10]Petr Hájek
Evaluating Sentiment in Annual Reports for Financial Distress Prediction Using Neural Networks and Support Vector Machines. EANN (2) 2013: 1-10 - [c9]Petr Hájek
Prediction of Air Quality Indices by Neural Networks and Fuzzy Inference Systems - The Case of Pardubice Microregion. EANN (1) 2013: 302-312 - 2012
- [j4]Petr Hájek
Credit rating analysis using adaptive fuzzy rule-based systems: an industry-specific approach. Central Eur. J. Oper. Res. 20(3): 421-434 (2012) - [j3]Petr Hájek
Ozone prediction on the basis of neural networks, support vector regression and methods with uncertainty. Ecol. Informatics 12: 31-42 (2012) - [c8]Petr Hájek
Adaptive Intuitionistic Fuzzy Inference Systems of Takagi-Sugeno Type for Regression Problems. AIAI (1) 2012: 206-216 - 2011
- [j2]Petr Hájek
Municipal credit rating modelling by neural networks. Decis. Support Syst. 51(1): 108-118 (2011) - [j1]Petr Hájek
Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning. Neural Comput. Appl. 20(6): 761-773 (2011) - [c7]Vladimír Olej, Petr Hájek
Comparison of Fuzzy Operators for IF-Inference Systems of Takagi-Sugeno Type in Ozone Prediction. EANN/AIAI (2) 2011: 92-97 - 2010
- [c6]Vladimír Olej, Petr Hájek
IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region. ICANN (1) 2010: 1-11 - [c5]Petr Hájek:
Probabilistic Neural Networks for Credit Rating Modelling. IJCCI (ICFC-ICNC) 2010: 289-294
2000 – 2009
- 2009
- [c4]Petr Hájek
Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning. EANN 2009: 35-44 - [c3]Vladimír Olej, Petr Hájek
Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters. ICANN (2) 2009: 505-514 - 2008
- [c2]Petr Hájek
Municipal Creditworthiness Modelling by Kohonen's Self-organizing Feature Maps and LVQ Neural Networks. ICAISC 2008: 52-61 - [c1]Petr Hájek
Municipal Creditworthiness Modelling by Kohonen's Self-Organizing Feature Maps and Fuzzy Logic Neural Networks. ICANN (1) 2008: 533-542
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-23 19:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: