Statlog (German Credit Data)

Cited by (201)

Items 101–200 of 201

1. A Novel Feature Selection Evolutionary Computation Framework for Privacy Preservation
   Duan-Ting Duan, Bing Sun, Jian-Yu Li, Qiang Yang, Xiaofang Liu · 2024 · Research Square
2. การพฒนาเวรกโฟลวสาหรบตวแบบตนไมจาแนกประเภททดทสด
   พงศ์ทวัส ฮั่นวัฒนวงศ์, เสกสรร เกียรติสุไพบูลย์ · 2022
3. Hybrid Dual-Resampling and Cost-Sensitive Classification for Credit Risk Prediction
   Emmanuel Osei-Brefo, Richard Mitchell, Xia Hong · 2023 · Lecture notes in computer science
4. On Detecting Biased Predictions with Post-hoc Explanation Methods
   Matteo Ruggeri, Arnaud Dethise, Marco Canini · 2023
5. The Issue of Baselines in Explainability Methods
   George Ioannou, Andreas Stafylopatis · 2023 · IEEE ... International Conference on Data Mining workshops
6. Adversarial Learning of Group and Individual Fair Representations
   Hao Liu, Raymond Chi-Wing Wong · 2024 · Lecture notes in computer science
7. Application and research of ensemble learning in imbalanced credit default prediction
   Xingyuan Shan, Yuliang Shi, He Cui, Zhishan Wang · 2024 · IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
8. Achieving Fairness through Constrained Recourse
   Shuang Wang, Yongkai Wu · 2024 · International Joint Conference on Neural Networks (IJCNN)
9. Opportunities and Challenges of the Use of Forgetting in Symbolic XAI
   Joaquín Arias, Sara Degli Esposti, Jose Walter Hernández-Pérez, Luciana Fidilio-Allende, Sascha Ossowskí · 2025 · Lecture notes in computer science
10. LambdaFair for Fair and Effective Ranking
    Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando · 2025 · Lecture notes in computer science
11. Causally Consistent Normalizing Flow
    Quan Zhou, Kangjie Lu, Meng Xu · 2025 · Proceedings of the AAAI Conference on Artificial Intelligence
12. Boosting Generalizable Fairness With Mahalanobis Distances Guided Boltzmann Exploratory Testing
    Kaixiang Dong, Peng Wu, Yanting Chen · 2025 · IEEE Transactions on Software Engineering
13. Reconciling Predictive Multiplicity in Practice
    Tina Behzad, Sílvia Casacuberta, Emily Ruth Diana, Alexander Williams Tolbert · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
14. M²FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
    Jansen Silva de Brito Pereira, Giovani Valdrighi, Marcos M. Raimundo · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
15. CausalBioCF: Causal Counterfactuals for Machine Learning Interpretability
    Gabriel Covello Furlanetto, Alexandro Baldassin, Aleardo Manacero · 2025 · Lecture notes in computer science
16. Privacy-Preserving Encoding and Scaling of Tabular Data in Horizontal Federated Learning Systems
    Tim Piotrowski, Zoltán Nochta, Manuel Karl, Martin Johns · 2025 · Lecture notes in computer science
17. Research on Personal Credit Risk Assessment Based on Deep Belief Network
    Xinglin Peng, Qiangbo Tan · 2025 · International Symposium on Big Data and Applied Statistics (ISBDAS)
18. A gradient boosting machine for rawlsian subgroup fairness
    Jansen Silva de Brito Pereira · 2025
19. Consumer lending business : Revisão de técnicas de machine learning
    Ícaro Almeida Aguiar, Manzato, Marcelo Garcia · 2024
20. Quantitative and Qualitative Evaluation on Local Explainability Models for Anomaly Detection Algorithms
    David Esteban Martinez, Carlos Eiras‐Franco, Bertha Guijarro‐Berdiñas, Amparo Alonso‐Betanzos · 2025 · Lecture notes in computer science
21. Improving Production with Artificial Neural Networks and Integration into ERP Systems: An Approach within the Scope of Industry 4.0
    Gizem Şara Onay, Mehmet Çakmakçı · 2025 · Özgür Yayınları eBooks
22. Optimal Product Mix and Resource Allocation in Furniture Manufacturing Using Linear Programming: A Case of Furniture Company
    Çağdaş Yıldız, Adem Tüzemen · 2025 · Özgür Yayınları eBooks
23. Evaluation of the Performance of BRICS-T Countries in the Context of the Economic Freedom Index
    Bilal Saraç, Çağlar Karamaşa · 2025 · Özgür Yayınları eBooks
24. Assessment of Ankara University ERASMUS+ Programme Outgoing Students by Using Statistical Methodologies for the 2023-2024 Period
    Cemal Yıldırım, Özlem Türkşen, Necdet Ünüvar, İlker Astarcı · 2025 · Özgür Yayınları eBooks
25. Investigation of the Structure and Function of Acid-Sensing Ion Channels
    Ziya Çakır · 2025 · Özgür Yayınları eBooks
26. Assessment of FCM, PCM, and UFPC Algorithms Through Internal and Fuzzy Cluster Validity Indices on Multidisciplinary Benchmark Datasets
    Berna Özbaşaran, Gözde Ulutagay · 2025 · Özgür Yayınları eBooks
27. Latent Similarity Clustering of Video Games Based on Euclidean Distance and PCA
    Diana Bratić · 2025 · Özgür Yayınları eBooks
28. An Enhanced Credit Risk Classification Framework Using Hybrid Genetic Algorithm and Machine Learning Models on the German Credit Dataset
    Susheel Kumar, Shashi Kumar Singh, Netra Pal Singh, Amit Sagu · 2025 · Cureus Journal of Computer Science.
29. Demographic-Agnostic Fairness Without Harm
    Zhongteng Cai, Mohammad Mahdi Khalili, Xueru Zhang · 2025 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
30. Explaining Black-Box Models Through Statistical Inference
    Arsh Chowdhry, Umair Rehman, Apurva Narayan · 2025 · Research Square
31. Two Phases Feature Selection Method for Classification Problems Based on Association Rules
    Ghislain Dorian Tchuente Mondjo, Kely Maxime Motue Djoko · 2025 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
32. Realizing the Promises of Algorithmic Recourse through Reliability, Accessibility, and Fairness Principles
    Kate S. Boxer, Daniel B. Neill · 2025 · ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
33. Data-Efficient Tabular Classification with Transformer-Based Small Language Models
    Mario Haddad-Neto, Diógenes Silva, ÍTALO PELIÇÃO CALIARI, Hendrio Luis de Souza Bragança · 2025 · Brazilian Symposium on Multimedia and the Web
34. SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI
    Spencer Giddens, Xiaoan Lang, Fang Liu · 2025 · ACM transactions on probabilistic machine learning.
35. FRSTU-Forest: A fixed random-state undersampling framework for reliable decision support in imbalanced classification
    Ahmad Ilham, Laelatul Khikmah · 2025 · Intelligent Decision Technologies
36. Contributions to data science from an optimal transport perspective
    David Rodríguez-Vítores · 2025
37. Comparações entre a rede Kolmogorov-Arnold e a rede perceptron multicamada
    Pedro Henrique Dos Santos Soares, Renato Candido, Magno T M Silva · 2025 · Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais
38. A Comparative Analysis of Graph Construction Methods for Fairness in Graph-Based Semi-Supervised Learning
    Willian Dihanster Gomes de Oliveira, Lilian Berton · 2025
39. Fair-LS: A Group-Specific Clamping Factor for Fair Label Spreading in Graph-Based Semi-Supervised Learning
    Willian Dihanster Gomes de Oliveira, Lilian Berton · 2025
40. A Statistically Grounded Rubric for Evaluating AI-Human Decision Quality: Simulation-Based Validation and Open-Source R-Toolkit
    Amar Ahmad, Youssef Idaghdour · 2025 · International Conference on Information Technology Trends (ITT)
41. An Effective Credit Scoring Model via Advanced Outlier Detection and Balanced Sampling Integration
    Chinh Xuan Pham, Huynh Ngoc Trinh, Long Quoc Tran · 2025 · RIVF International Conference on Computing and Communication Technologies (RIVF)
42. Practical Strategies for Applying the Disparate Impact Remover at Inference Time
    Mykhailo Danilevskyi, Fernando Perez Tellez, Jelena Vasić · 2026 · Conference on Human Centred Artificial Intelligence - Education and Practice (HCAIep)
43. Q-rung picture fuzzy sets theory-based ensemble learning method for credit risk assessment
    Şeyma Yücel Altaya, Betül Turanoğlu Şirin · 2026 · Knowledge-Based Systems
44. A fair approach for mixture of probabilistic PCA
    Beatriz Cardoso Nascimento · 2025
45. Latent Search-Based Boundary Aware Fairness Testing for Deployed Deep Models
    Qingyuan Sun, Weidong Zhao, Tian Song · 2025 · Asia-Pacific Software Engineering Conference (APSEC)
46. Unfair Inequality in Education: A Benchmark for AI-Fairness Research
    Joseph Giovanelli, Matteo Magnini, Giovanni Ciatto, Angel S. Marrero, Andrea Borghesi, Gustavo A. Marrero, Roberta Calegari · 2026 · Scientific Data
47. FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning
    Zhanyi Hu, Cen Chen, Yanhao Wang · 2026 · Proceedings of the AAAI Conference on Artificial Intelligence
48. Predictive Fair Representation Learning with Variational Autoencoders
    Tatsuya Yamada, Takuya Konishi, Yoshinobu Kawahara · 2026 · New Generation Computing
49. Scaling up the static analysis of neural networks using affine forms
    Asma Soualah · 2024
50. Intelligent Customer Acquisition Credit Scorecard Using Explainable AI: LightGBM with ADASYN and SHAP vs. XGBoost with SMOTEENN on the German Credit Dataset
    SRIYANSH MISHRA, N PRASHANT DEO, Aayush Gupta, Saharsh Srivastava · 2026 · Research Square
51. Evaluating Behavior Change Interventions for Responsible Data Science
    Dong Zhang, Keke Wu, Leilani Battle, Emily Wall · 2026 · CHI Conference on Human Factors in Computing Systems
52. Towards Quantifying Compliance with the EU AI Act
    Tobias Clement, Phuc Truong Loc Nguyen, Stefan Arnold · 2026 · Hawaii International Conference on System Sciences (HICSS)
53. Using Prior Knowledge to Improve GANs for Tabular Data Without Compromising Privacy
    Sonakshi Garg, Marcel Neunhoeffer, Jörg Drechsler, Vicenç Torra · 2026 · Lecture notes in computer science
54. Towards Responsible AI Governance: A Multidimensional Ethical Evaluation Framework
    Sónia Teixeira, Átia Cortés, Dilhan J. Thilakarathne, Gianmarco Gori, Marco Minici, Monowar H. Bhuyan, Nina Khairova, Tosin Adewumi, Devvjiit Bhuyan, Jack O'Keefe et al. · 2026 · Communications in computer and information science
55. Mitigating bias in machine learning: A strategy combining sample weights and exponentiated gradient
    Nabaa H. Qasim, Khalil Ibrahim Ghathwan, Abeer Tariq Maolood · 2026 · AIP conference proceedings
56. Generation and Evaluation of Privacy-Preserving Tabular Synthetic Data Using Self-Attention Generative Adversarial Networks
    Qaiser Razi, Amit Chougule, GSS Chalapathi, Vikas Hassija, Biplab Sikdar · 2026 · IEEE Transactions on Emerging Topics in Computational Intelligence
57. Reasonable Doubt in the Face of Bias: Fair Flagging with Dirichlet-Based Models
    Charmaine Barker, Dimitar Kazakov · 2026 · ACM Symposium on Applied Computing
58. On the Distribution-Free Discrimination: (A New Method of Discrimination)
    Mahmoud A. Eltehiwy, Abu-Bakr A. AbdulMotaal, Noura El-Magd · 2026 · Journal of the Indian Society for Probability and Statistics
59. Reduction of the amount of training data by the neural network integrity constraint approach fostering green AI
    Alexander Maximilian Röser, Roman Alexander Englert · 2026 · Discover Artificial Intelligence
60. P$$^{2}$$CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations
    Arthur Hendricks, Giovani Valdrighi, Marcos M. Raimundo · 2026 · Machine Learning
61. ScorecardBuilder: an automated framework for creating self-organizing risk models
    Caitlin Smith, Kameshwari Soundararajan, Jalen Spain, Andrew Barker, Brant M. Wagener, Ayesha Bryant, Ryan C. Godwin, Ryan L. Melvin · 2026 · SoftwareX
62. Analysis of Performance and Fairness of Classification Algorithms with Class and Protected Attribute Noise
    Ana Vargas, Rosa Delgadillo · 2026 · Journal of the Brazilian Computer Society
63. FORMAL VERIFICATION OF DECISION TREE FAIRNESS AND ROBUSTNESS VIA SMT SOLVER
    A. Beishekeyev, Timur Umarov · 2026 · Herald of Kazakh-British technical university
64. Options Without Agency: Diversity as a Requirement for Fair Actionable Recourse
    Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, Elke Angelika Rundensteiner · 2026 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
65. Beyond Base Metric: The Critical and Overlooked Role of Meta-Metrics in Intersectional Fairness
    Jeanne Monnier, Thomas George, Frédéric Guyard, Christèle Tarnec, Marios Kountouris · 2026 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
66. AI-Enhanced Credit Approval System
    Baidyanath Sou - · 2026 · Advances in computational intelligence and robotics book series
67. From Rules to Predictions: Federated Tabular Learning with LLM Reasoning
    Afsaneh Mahanipour, Hana Khamfroush · 2026
68. From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation
    Minh Duc Bui, Xenia Heilmann, Mattia Cerrato, Manuel Mager, Katharina von der Wense · 2026 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
69. On the Behavior of PATE Under Class Imbalance and Non-IID Data
    Alexander L. Bogdanov, Valery Khvatov, Yueh Chiang, Nadezhda Shchegoleva · 2026 · Lecture notes in computer science
70. An Empirical Study of Synthetic Data Generators for Sequences
    Sinmi Akindele, Youmi Suk, Ke Yang · 2026 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
71. A Multi-objective Framework for Selecting Plausible and Causally Consistent Counterfactual Explanations Guided by SHAP
    Simranjot Kaur · 2026 · Lecture notes in networks and systems
72. BiasQD-DT: Creating Interpretable Trade-Offs in Classifier Bias with Quality-Diversity Optimization via Decision Trees
    Catalina M. Jaramillo, Megan Charity, Julian Togelius · 2026 · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
73. FIFT: Feature Importance-Guided Fairness Testing for machine learning software
    Hussaini Mamman, Abdullateef Oluwagbemiga Balogun, Mustapha Maidawa, Shuib B. Basri, Shamsuddeen Adamu, Aliyu Garba, Luiz Fernando Capretz · 2026 · Journal of King Saud University - Computer and Information Sciences
74. On the redlining effect and regularization approaches for fair classification
    Ygor Canalli, Leandro G.M. Alvim, Filipe Braida, Geraldo Zimbrão · 2026 · Expert Systems with Applications
75. A Benchmark and Evaluation Framework for Autonomous Context-Aware Data Quality Assessment
    Hadi Fadlallah · 2026 · SSRN Electronic Journal
76. Behavioral Regression Testing for Continuously Updated Machine Learning Models
    Vinil Pasupuleti, Srinivasateja Songa, Nagesh Gulkotwar, Shyalendar Reddy Allala, Shrey Tyagi · 2026 · IEEE International Conference on Artificial Intelligence Testing (AITest)
77. Few-Shot Constrained Bayesian Optimization for Dynamic Constrained Problem
    Peili Mao, Ke Li · 2026 · Lecture notes in computer science
78. CaSh: Shapley Value Computation with Cache Optimization
    Jiajun Tang, Xiaokai Mao, Ning Liu, Jinfei Liu, Kui Ren · 2026 · Proceedings of the VLDB Endowment
79. エビデンスに基づくモデル選択ー線形モデルが勾配ブースティング決定木を上回る状況とその理由ー
    Naruki Shirahama · Institutional Repositories DataBase (IRDB)
80. Socio-Spatial Graph Neural Networks for Financial Contagion Modeling and Explainable Default Risk Prediction
    Bishal Majumder, Ritwik Dash, Mamata Jenamani · 2026 · Preprints.org
81. Piecewise deterministic sampling for constrained distributions
    Ines Joel TATANG DEMANO, Paul Dobson, Konstantinos C. Zygalakis · 2026 · Statistics and Computing
82. CausalCACTUS: A Causally Consistent and Context-Aware Framework for Counterfactual Explanations
    Zhendong Wang, Diego García, José María Enguita, Saikat Chatterjee, Magnus Jansson · 2026 · Machine Learning
83. Proxy-Leakage-Aware Feature Selection under Proxy Entanglement: A Subset-Level Information-Theoretic Approach
    Roopa Maliakal, S. Asharaf · 2026 · SSRN Electronic Journal
84. Impact of Data Pre-Processing Techniques on Supervised Machine Learning Models for Credit Risk Classification
    Susheel Kumar, Amit Sagu, Netra Pal Singh · 2026 · International Conference on Innovations in Engineering and Technology (ICIET)
85. Outcome Definition Before Model Choice in Credit Risk
    Saharsh Jangaon, Darrell Robinson · 2026
86. Compliance-as-Code, Grounded in Observability: Continuous Controls Monitoring in AI-Driven Banking
    Yashaswini Nalla · 2026 · International Journal of Computer Information Systems and Industrial Management Applications
87. Leakage-controlled error-region auditing for logistic regression
    Md. Awwal Islam Khan, Mehmet Gürcan · 2026 · Computational Statistics
88. Towards Verifiable Fairness Testing: Auditable Coverage over Data-Supported Input Domains
    Yingqian Guo, Wentian Zhao, Tian Song · 2026 · IEEE/ACM International Conference on Automated Software Engineering (ASE)
89. Let’s Unlearn Stereotypes Before Decision-Making: The Impact of Intrinsic Bias Mitigation on Downstream Fairness in LLMs
    Mina Arzaghi', Alireza Dehghanpour Farashah, Florian Carichon, Jean‐François Plante, Golnoosh Farnadi · 2026 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
90. Fairness Detectability: Do Explanations Recover Fairness-Relevant Causal Effects?
    Sakina Hansen, Kateryna Koval, Anna-Alina Bondarets, Joshua R. Loftus · 2026 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
91. Do Personalized Evaluation Functions Reflect Human Preferences? A Study of Weighted Proximity in Algorithmic Recourse
    Firdaus Ahmed Choudhury, Ethan Leicht, Jude Ethan Bislig, Arsh Gupta, Akshaya Shyamsundar Rekha, Shubham Gupta, Haren Anand, Hangzhi Guo, Amulya Yadav · 2026 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
92. Protecting the Underrepresented: Data Debiasing via Asymmetric Adversarial Encoding for Fair Machine Learning
    Deepanshu Aggarwal, Puspita Majumdar · 2026 · Proceedings of the AAAI/ACM Conference on AI Ethics and Society
93. Interpretable Machine Learning for Credit Risk Decision Support: Balancing Interpretability and Predictive Performance
    Mohaned Zkaria Salem · 2026 · FUDMA Journal of Sciences
94. Convex-relaxed counterfactual optimization for non-differentiable classifiers via neural surrogates
    Ao Xu, Zihao Li, Tieru Wu · 2026 · Neural Networks
95. Integrated Tool for Evaluating Ethical Principles in AI: An Extensive Case Study
    Sónia Teixeira, Átia Cortés, Dilhan Thilakarathne, Gianmarco Gori, Marco Minici, Monowar Bhuyan, Nina Khairova, Tosin Adewumi, Devvjiit Bhuyan, Jack O’keefe et al. · 2026 · Springer eBooks
96. Cost Sensitive Machine Learning for Credit Risk Assessment and Lending Decisions
    Muhammad Imran Syed, Mitu Akter, Semanto Saha Utsab, Md Tanvirul Islam, Yeasmin Jahan · 2025 · The Eastasouth Journal of Information System and Computer Science
97. Accuracy, Explainability, and Fairness in Credit Risk Prediction: A Comparative Analysis of Interpretable and Black-Box Models
    Yiğit Sönmezer, Zeynep Beyza Kabataş Soyer, Sezen Bal · 2026 · International Artificial Intelligence and Data Processing Symposium (IDAP)
98. CCS-MVF: Multi-objective Credit Risk Validation Framework
    Yuchen Tang, Fengqin You, Xin Pang · 2026 · Communications in computer and information science
99. Generative AI for Credit Risk Management: Risk-Conditional Diffusion with Holdout-Calibrated Release Gates for Empirically Privacy-Audited Synthetic Credit Data
    Nathan Turner, Hannah Tan, Anika Qian · 2026 · Academic Journal of Finance and Accounting
100. Селекция объектов по отношениям с ближайшими объектами противоположного класса и сохранение локальной структуры обучающей выборки
     Ш.Ш. Рамазонов · 2026 · Problems of Computational and Applied Mathematics