100% Classification Accuracy Considered Harmful: The Normalized Information Transfer Factor Explains the Accuracy Paradox

Cited by (212)

Items 101–200 of 212

1. Using Machine Learning for Data-Based Assessing of the Aircraft Fuel Economy
   Sebastian Baumann · 2019 · IEEE Aerospace Conference (AERO)
2. Taxonomy based performance metrics for evaluating taxonomic assignment methods
   Chung‐Yen Oliver Chen, Sen‐Lin Tang, Seng‐Cho T. Chou · 2019 · BMC Bioinformatics
3. Robust principal component analysis of ultrasonic sectorial scans for defect detection in weld inspection
   Bryan Cassels, Lik‐Kwan Shark, Stephen James Mein, Andrew Nixon, Thomas Barber, Ray Turner · 2019
4. Prediction of Complicated Ovarian Hyperstimulation Syndrome in Assisted Reproductive Treatment Through Artificial Intelligence
   Arash Ziaee, Hamed Khosravi, Tahereh Sadeghi, Imtiaz Ahmed, Malihe Mahmoudinia · 2024 · medRxiv
5. Machine Vision Using Cellphone Camera: A comparison of deep networks for classifying three challenging denominations of Indian coins
   Keyur D. Joshi, Dhruv Shah, Varshil Shah, Nilay Gandhi, Sanket J. Shah, Sanket B. Shah · 2022 · International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
6. We Need to Talk About Classification Evaluation Metrics in NLP
   Peter Vickers, Loïc Barrault, Emilio Monti, Νικόλαος Αλέτρας · 2023 · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL)
7. Evaluating shallow capsule networks on complex images
   Patrick Kwabena Mensah, Benjamin Asubam Weyori, Mighty Abra Ayidzoe · 2021 · International Journal of Information Technology
8. Insights into anomaly-based intrusion detection systems usability. A case study using real http requests
   Jesús E. Dı́az-Verdejo, Rafael Estepa, Antonio Estepa, Javier Muñoz-Calle · 2024 · European Interdisciplinary Cybersecurity Conference (EICC)
9. The Multivariate Entropy Triangle and Applications
   Francisco J. Valverde-Albacete, Carmen Peláez-Moreno · 2016 · Lecture notes in computer science
10. Rumour As an Anomaly: Rumour Detection with One-Class Classification
    Amir Ebrahimi Fard, Majid Mohammadi, Scott W. Cunningham, Bartel Van de Walle · 2019 · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
11. Best practices for supervised machine learning when examining biomarkers in clinical populations
    Benjamin G. Schultz, Zaher Joukhadar, Usha Nattala, Maria del Mar Quiroga, Francesca Bolk, Adam P. Vogel · 2021 · Elsevier eBooks
12. Misclassification Bias in Computational Social Science: A Simulation Approach for Assessing the Impact of Classification Errors on Social Indicators Research
    Sergey Smetanin, Mikhail Mikhailovich Komarov · 2022 · IEEE Access
13. Data Protection and Machine-Learning-Supported Decision-Making at the EU Border: ETIAS Profiling Under Scrutiny
    Paulina Jo Pesch, Диана Димитрова, Franziska Boehm · 2022 · Lecture notes in computer science
14. Deep learning-based 3D automatic segmentation of impacted canines in CBCT scans
    Türkan Ünal, Alican Kuran, İbrahim Tevfik Gülşen, Fatma Nur Kızılay, Emine Gülşen, Semanur Özüdoğru, Kadir Gördeli, Özer Çelik, Mehmet Uğurlu, İbrahim Şevki Bayrakdar et al. · 2025 · BMC Oral Health
15. Multi-Task Learning for Interpretation of Brain Decoding Models
    Seyed Mostafa Kia, Sandro Vega-Pons, Emanuele Olivetti, Paolo Avesani · 2016 · Lecture notes in computer science
16. A Hybrid Machine Learning Approach for Improving Mortality Risk Prediction on Imbalanced Data
    Araek Tashkandi, Lena Wiese · 2019 · International Conference on Information Integration and Web-based Applications & Services (iiWAS)
17. Selection of diverse features with a diverse regularization
    Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang · 2021 · Pattern Recognition
18. Brain Melody Interaction: Understanding Effects of Music on Cerebral Hemodynamic Responses
    Jessica Sharmin Rahman, Sabrina Caldwell, Richard Jones, Tom Gedeon · 2022 · Multimodal Technologies and Interaction
19. Overview of CapsNet Performance Evaluation Methods for Image Classification using a Dual Input Capsule Network as a Case Study
    Patrick Kwabena Mensah, Mighty Abra Ayidzoe · 2022 · International Journal of Computing and Digital Systems
20. Who wants accurate models? Arguing for a different metrics to take classification models seriously
    Federico Cabitza, Andrea Campagner · 2019 · arXiv (Cornell University)
21. Artificial intelligence in the detection of choledocholithiasis: a systematic review
    Joshua Blum, Lewis Wood, Richard Clive Turner · 2024 · HPB
22. In Vivo Raman Spectroscopy of Muscle Is Highly Sensitive for Detection of Healthy Muscle and Highly Specific for Detection of Disease
    James J. P. Alix, Maria Plesia, Daniel Stockholm, Pamela J. Shaw, Richard J. Mead, John C. C. Day · 2024 · Analytical Chemistry
23. Prediction of Bacterial sRNAs Using Sequence-Derived Features and Machine Learning
    Tony Jha, Jovinna Mendel, Hyuk Cho, Madhusudan Choudhary · 2022 · Bioinformatics and Biology Insights
24. A Formalization of Multilabel Classification in Terms of Lattice Theory and Information Theory: Concerning Datasets
    Francisco J. Valverde-Albacete, Carmen Peláez-Moreno · 2024 · Mathematics
25. Using phidelta diagrams to discover relevant patterns in multilayer perceptrons
    Giuliano Armano · 2020 · Scientific Reports
26. About the confusion-matrix-based assessment of the results of imbalanced data classification
    В. В. Старовойтов, Yu. I. Golub · 2021 · Informatics
27. Using multi‐pattern clustering methods to improve software maintenance quality
    Yi‐Ting Chen, Chin‐Yu Huang, Tsung‐Han Yang · 2022 · IET Software
28. Cyber-Physical System Framework for Cerebrovascular Accidents using Machine Learning Algorithm
    Roman M. Richard, Jonathan V. Taylar · 2022 · International Conference on ICT for Smart Society (ICISS)
29. A framework for An Intelligent Agro-Climate Decision Support System for Small-scale farmers in Swayimane
    Naledi Portia Thothela, Elisha Didam Markus, Muthoni Masinde, Adnan Mohammed I Abu-Mahfouz · 2023 · International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
30. Modeling and Sustainability Implications of Harsh Driving Events: A Predictive Machine Learning Approach
    Antonis Kostopoulos, Thodoris Garefalakis, Eva Michelaraki, Christos Katrakazas, George Yannis · 2024 · Sustainability
31. Boosting Rice Disease Diagnosis: A Systematic Benchmark of Five Deep Convolutional Neural Network Models in Precision Agriculture
    Shu-Hung Lee, Qi-Wei Jiang, Chia-Hsin Cheng, Yu-Shun Tsai, Yung‐Fa Huang · 2025 · Agriculture
32. Aşırı Sınıf Dengesizliği Altında İnce Doğrusal Yapıların Segmentasyonu: Demiryolu Veri Setlerinde Doğruluk Paradoksu ve Mimari Verimlilik
    Ahmet Akkaya · 2026 · Demiryolu Mühendisliği
33. Improving Software Modularization Quality Through the Use of Multi-Pattern Modularity Clustering Algorithm
    Tsung‐Han Yang, Chin‐Yu Huang · 2023 · IEEE International Conference on Software Quality, Reliability and Security (QRS)
34. Pathological Liars: Algorithmic Knowing in the Rhetorical Ecosystem of Wallstreetbets
    Misti Yang, Zoltan P. Majdik · 2024 · Rhetoric Society Quarterly
35. An improved unsupervised learning approach for potential human microRNA–disease association inference using cluster knowledge
    Manoov Rajapandy, Anand Anbarasu · 2021 · Network Modeling Analysis in Health Informatics and Bioinformatics
36. Automated hearing impairment diagnosis using machine‐learning: An open‐source software development undergraduate research project
    Kyra L. Taylor, Waseem Sheikh · 2024 · Computer Applications in Engineering Education
37. Privacy Preserved Taxi Demand Prediction System for Distributed Data
    Ren Ozeki, Haruki Yonekura, Hamada Rizk, Hirozumi Yamaguchi · 2024 · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS)
38. Using Fuzzy Inference System to Predict Iron and Manganese Accumulation Potential in Water Distribution Networks
    Ebenezer Danso-Amoako, Prasad Devi Tumula · 2015 · Procedia Engineering
39. On Concept Lattices as Information Channels
    Francisco José Valverde Albacete, Carmen Peláez-Moreno, Anselmo Peñas · 2014 · Concept Lattices and their Applications
40. A Data Analysis Application of Formal Independence Analysis.
    Francisco J. Valverde-Albacete, Carmen Peláez-Moreno, Inma P. Cabrera, Pablo Cordero, Manuel Ojeda‐Aciego · 2018 · Concept Lattices and their Applications
41. A Deep Learning Approach for the Identification of Long-Duration Mixed Precipitation in Montréal (Canada)
    Magdalena Mittermeier, Émilie Bresson, Dominique Paquin, Ralf Ludwig · 2021 · ATMOSPHERE-OCEAN
42. TasKar: A Research and Education Tool for Calculation and Representation of Binary Classification Performance Instruments
    Gürol Canbek, Tuğba Taşkaya Temizel, Şeref Sağıroğlu · 2021
43. Anubis: a multi-level authentication scale for ancient proteins using random forest classification
    Yun Chiang, Bharath Nair, Max Ramsøe, Tina Ravnsborg, Ole Nørregaard Jensen, Matthew J. Collins · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
44. Машинное обучение на основе задач математического программирования
    Н.П. Чернавин, Fedor P. Chernavin, V.N. Pankrashchenko, Д.Н. Гайнанов, П.Ф. Чернавин · 2021 · Наука eBooks
45. Optimisation and Resampling methods for Handling Imbalanced Datasets in Credit Card Fraud Detection using Artificial Neural Networks
    Oussama Ndama, El Mokhtar En-Naimi · 2023 · International Conference on Networking, Information Systems & Security (NISS)
46. Optimized Multilayer Perceptron for Sensorimotor Functional Mapping Based on a Few Minutes of Intracranial Electroencephalogram Data
    Iktimal Alwan, Dennis D. Spencer, Rafeed Alkawadri · 2024 · Annals of Neurology
47. Cyber insights: exploring the effectiveness of image-based and vector-based feature representations in insider threat detection
    Krunal Dhanraj Randive, R. Mohan, Ambairam Muthu Sivakrishna · 2025 · International Journal of Data Science and Analytics
48. From computer vision to short text understanding: Applying similar approaches into different disciplines
    Jiayin Lin, Geng Sun, Jun Shen, David E. Pritchard, Ping Yu, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun · 2022 · Intelligent and Converged Networks
49. A comprehensive visualized roadmap to gain new insights
    Gürol Canbek, Şeref Sağıroğlu, Tuğba Taşkaya Temizel, Nazife Baykal · 2017
50. Accuracy Barrier (ACCBAR): A novel performance indicator for binary classification
    Gürol Canbek, Tuğba Taşkaya Temizel, Şeref Sağıroğlu · 2022 · International Conference on Information Security and Cryptography (ISCTURKEY)
51. Resiliente und robuste KI-Systeme im praktischen Einsatz
    Nicole Wittenbrink, Stefanie Demirci, Steffen Wischmann · 2022 · Springer eBooks
52. Effect of Image Classification Accuracy on Dasymetric Population Estimation
    Jacob J. McKee, Eric M. Weber · 2021
53. Deep Learning for Cerebral Microbleed Identification
    Shuihua Wang‎, Yudong Zhang, Zhengchao Dong, Preetha Phillips · 2018 · Brain informatics and health
54. Detección de cognados verdaderos y false friends con word embeddings
    Carlos Periñán-Pascual, Nicolás José Fernández-Martínez · 2025 · Revista signos
55. Integrated approach to model distribution and assess habitat suitability of killifish species in Oman’s local streams (wadis) under current and future climate conditions
    Aziza Saud Al Adhoobi, Amna M. Al Ruheili, Saud Musallam Al Jufaili, Wenresti Glino Gallardo · 2026 · PLoS ONE
56. Predicting Infection Area of Dengue Fever for Next Week Through Multiple Factors
    Cong-Han Zheng, Ping‐Yu Hsu, Ming Shien Cheng, Ni Xu, Yu‐Chun Chen · 2022 · Lecture notes in computer science
57. Big data analytics approaches for treatment of imbalance and missing values problems on high dimensionality dataset
    Muhammed Haziq Muhammed Nor, Mohd Aftar Abu Bakar, Noratiqah Mohd Ariff, Hasmirah Hassan, Siti Amira Nadia Ahmad Tajudin · 2024 · AIP conference proceedings
58. A Meta-analysis of Credit Card Fraud Detection Using Machine Learning Techniques
    Cristina Boboc-Trandas, Camelia-Maria Dan · 2024 · Studies in big data
59. Improving Android Malware Detection in Imbalanced Data Scenarios
    Shengzhi Qin, Kam-Pui Chow · 2025 · IFIP advances in information and communication technology
60. The accuracy of the F statistic for structural health monitoring
    Fergyanto Efendy GUNAWAN, Benfano Soewito, Nico Surantha, Tuga Mauritsius, Nobumasa Sekishita · 2020 · AIP conference proceedings
61. Are paired or single stimuli better to recognize genuine and posed smiles from observers’ galvanic skin response?
    Jessica Sharmin Rahman, Md Zakir Hossain, Tom Gedeon · 2020 · Australian Conference on Human-Computer Interaction (OzCHI)
62. Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions
    Andrea Campagner, Enrico Conte, Federico Cabitza · 2021 · Lecture notes in computer science
63. Multi-lane LBP-Gabor Capsule Network with K-means Routing for Medical Image Analysis
    Patrick Kwabena Mensah, Anokye Acheampong Amponsah, Kwame Baffour Agyemang, Gabriel Kofi Armah, Mighty Abra Ayidzoe, Faiza Umar Bawah, Adebayor Felix Adekoya, Benjamin Asubam Weyori, Mark Amo-Boateng · 2021 · International Journal of Advanced Computer Science and Applications
64. Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and Quantification
    Seyed Mostafa Kia · 2016 · bioRxiv (Cold Spring Harbor Laboratory)
65. EEG Spectral Changes Before and After an Eight-week Intervention Period of Preksha Meditation
    Chintan Joshi · 2016 · FIU - Digital Commons (Florida International University)
66. Weld defect detection using ultrasonic phased arrays
    Bryan Cassels · 2018 · CLOK (University of Central Lancashire)
67. A Bootstrapping Method for Improving the Classification Performance in the P300 Speller
    J. H. Cristancho-Cuervo, J. F. Delgado-Saa · 2020 · Revista Mexicana de Ingeniería Biomédica
68. Post-Hoc Interactive Analytics of Errors in the Context of a Person Discovery Task
    Pierrick Bruneau, Mickaël Stefas, Johann Poignant, Hervé Bredin, Claude Barras · 2016 · IEEE International Symposium on Multimedia (ISM)
69. Potential Uses in Breadth
    Michael K. Bergman · 2018 · Springer eBooks
70. Comparison of machine learning techniques to predict missing cyanobacteria data and trophic states of lakes
    Priyanka Luthra · 2017
71. Classifying and Extracting Data from Facebook Posts for Online Persona Identification
    Hazel Brosas, Eugene Lim, Danica Sevilla, Denise Brentan Silva, Ethel Ong · 2018 · Institutional Repositories DataBase (IRDB)
72. Intelligent Medical Decision Support for Predicting Patients at Risk in Intensive Care Units
    Araek Tashkandi · 2021 · eDiss (Georg-August-Universität Göttingen)
73. Validation of RumiWatch nose-band sensors for measuring nutritional behaviour of dairy cows
    Dinara Kabylbekova · 2016 · UEF eRepo (University of Eastern Finland)
74. Comparison of machine learning models for the prediction of cancer cells using MHC class I complexes
    Mateo N., Álvaro David Orjuela Canon, Oscar Perdómo · 2020 · International Symposium on Medical Information Processing and Analysis (SIPAIM)
75. Using Machine Learning to Predict Microvascular Complications in Patients With Type 1 Diabetes
    Qingqing Xu · 2020
76. Comment on nhess-2021-215
    2021 · Natural hazards and earth system sciences
77. Comment on nhess-2021-215
    2021 · Natural hazards and earth system sciences
78. Reply on CC1
    Philip Alexander Ebert · 2021 · Natural hazards and earth system sciences
79. Reply on RC1
    Philip Alexander Ebert · 2021 · Natural hazards and earth system sciences
80. Reply on RC2
    Philip Alexander Ebert · 2021 · Natural hazards and earth system sciences
81. Review of "Methodological and conceptual challenges in rare and severe event forecast-verification" by Ebert and Milne
    2021 · Natural hazards and earth system sciences
82. Letter to the Editor on “an Artificial Intelligence Approach to Predicting Unplanned Intubation Following Anterior Cervical Discectomy and Fusion” by Veeramani et al
    Rafael De la Garza Ramos, Reza Yassari · 2022 · Global Spine Journal
83. Are paired or single stimuli better to recognize genuine and posed smiles from observers' GSR
    Jessica Sharmin Rahman, Md Zakir Hossain · 2020
84. A Web-based Hybrid System for Skin Lesion Classification
    Xinyi Li, Zhiqiang Pi, Yitao Zhong · 2021 · International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)
85. Are paired or single stimuli better to recognize genuine and posed smiles from observers' GSR
    Jessica Sharmin Rahman, Md Zakir Hossain · 2020
86. Semantic Segmentation of Grounding Equipment Image Based on RGB-D Edge Information Fusion
    景 董 · 2023 · Journal of Electrical Engineering
87. A Social Bot Recognition Method Combing Emojis Information
    Xiujuan Wang, Zhengxiang Wang, Keke Wang, Kangmiao Chen, Mingxia Gao, Zheng Kangfeng · 2024 · Research Square
88. Analisis Prediktif Churn untuk Meningkatkan Tingkat Retensi Pelanggan pada Perusahaan SaaS Menggunakan Machine Learning
    Marcellina Marcellina, Ahmad Mukhlason · 2024 · ILKOMNIKA Journal of Computer Science and Applied Informatics
89. Towards Better Ways to Assess Predictive Computing in Medicine: On Reliability, Robustness, and Utility
    Federico Cabitza, Andrea Campagner · 2024 · Wiley eBooks
90. Twitter Data for Syndromic Surveillance: Insights and Methods
    Poorna Subramanian, Sachin Ka, Bharath Subramanian · 2024 · IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)
91. MOO-Points – Distance-based Method for Multi-objective Optimization in the Imbalanced Data Classification Task
    Weronika Borek-Marciniec, Michał Woźniak · 2024 · Lecture notes in computer science
92. Rice Disease Recognition using Improved Visual Geometry Group Deep Learning Algorithms
    Shu-Hung Lee, Chia-Hsin Cheng, Yu-Shun Tsai, Yung‐Fa Huang, Shing-Hong Liu, Ching-Mu Chen · 2024 · International Conference on Machine Learning and Cybernetics
93. Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent Deep Learning Models Predicting Off-Target Activities for K562 and Hek293 Cell Lines
    Maciej Powierża, Łukasz Łaczmański, Maciej Huk · 2025 · Lecture notes in computer science
94. Real-time crash prediction using in-vehicle cameras and GPS sensors: An exploration through deep and machine learning techniques
    Eva Michelaraki, Thodoris Garefalakis, George Yannis · 2025 · SSRN Electronic Journal
95. Pulse-Driven Spin Paradigm for Noise-Aware Quantum Classification
    Carlos Riascos-Moreno, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez · 2025 · Computers
96. Additional file 1 of The prognostic value of gastroesophageal reflux disorder in interstitial lung disease related hospitalizations
    Shehabaldin Alqalyoobi, Bertis B. Little, Oldham, Justin M., Ogugua Ndili Obi · 2023 · Figshare
97. From UGC to Brand Product Improvement: Mining Consumer Innovation Insights Across Social Media Platforms
    Jiacheng Wang, Qiang Wu · 2026 · Journal of theoretical and applied electronic commerce research
98. Machine Learning Approaches for Smart Meter Condition Monitoring in Metropolitan Environments
    Hau Kin Tsang, Kam Tim Woo, Ka Lun Lam · 2025 · International Conference on Applied Artificial Intelligence, Data Engineering and Sciences (ICAIDES)
99. Estimating prevalence and predictors of glucose-lowering overtreatment among older adults with type 2 diabetes in long-term care and community settings: a machine learning–based cohort study
    Greg Carney, Sean Burnett, Anshula Ambasta, Wade Thompson, Linda Lapp, Colin R. Dormuth · 2026 · BMJ Open
100. Identification of fall-risk factors degradation using quality of balance measurements
     Jennifer N. C. Bassement · 2014