Local Interpretable Model-Agnostic Explanations for Classification of Lymph Node Metastases
PulseAugur coverage of Local Interpretable Model-Agnostic Explanations for Classification of Lymph Node Metastases — every cluster mentioning Local Interpretable Model-Agnostic Explanations for Classification of Lymph Node Metastases across labs, papers, and developer communities, ranked by signal.
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New AI Model XEns-CKD Improves Chronic Kidney Disease Detection Accuracy
Researchers have developed XEns-CKD, a new ensemble vision transformer model for detecting chronic kidney disease (CKD) stages from ultrasound images. This model, trained on a private dataset, achieved an 86.36% classif…
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Explainable AI methods reviewed for clinical research applications
This paper provides a structured review of Explainable Machine Learning (XML) methodologies, detailing global and local interpretability tools like SHAP, LIME, PDP, and ICE plots. It explains the mechanisms, outputs, an…
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Research paper highlights limitations of AI explainability for cluster interpretation
A new research paper published on arXiv explores the limitations of current explainability techniques in interpreting clustering results. The study found that methods like Random Forest with permutation feature importan…
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New intrusion detection system for medical IoT environments
Researchers have developed a novel intrusion detection system for Internet of Medical Things (IoMT) environments, focusing on feature selection to overcome resource limitations. The system employs a Pearson correlation …
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New framework fools AI explainability auditors by embedding evasion logic
Researchers have developed a new framework called "Crushing the Evidence" that can fool white-box explainable AI (XAI) auditors. This dual-penalty evasion technique embeds evasion logic directly into model parameters, a…
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New XAI-Enhanced Quantum Adversarial Networks Developed for Galaxy Modeling
Researchers have developed a novel quantum adversarial framework that combines a hybrid quantum neural network (QNN) with classical deep learning layers. This approach integrates an evaluator model using Local Interpret…
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Quantization impacts deep learning model explanations, study finds
A new study published on arXiv investigates how post-training quantization (PTQ) affects the explainability of deep learning models. Researchers evaluated five common CNN architectures (VGG19, ResNet18, EfficientNet-B0,…
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Quantization impacts deep learning model explanations, study finds
A new study investigates the impact of post-training quantization (PTQ) on the explainability of deep learning models, specifically focusing on five Convolutional Neural Network (CNN) architectures. Researchers found th…
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Phishing detection models vulnerable to adversarial attacks, study finds
A new study published on arXiv compares the effectiveness of two machine learning models, TF-IDF + Logistic Regression and a fine-tuned DistilBERT transformer, in detecting phishing emails. While both models achieved ov…
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New Inpainting Technique Enhances AI Image Explanations
Researchers have developed a new method to improve the quality of explanations generated by eXplainable Artificial Intelligence (XAI) for image data. This technique, which modifies the Local Interpretable Model Agnostic…
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New framework aims to unify AI explainability metrics for trustworthiness
Researchers have developed a new framework to evaluate the explainability of AI models, focusing on fidelity, simplicity, and stability. This system aims to create a unified, multidimensional score for trustworthiness i…
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Paper compares explainability methods for hardware Trojan detection
A new paper published on arXiv details a systematic comparison of explainability methods for detecting hardware Trojans in integrated circuits. The research evaluates three categories of techniques: domain-aware propert…
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DeepPySR framework enhances symbolic regression for scientific discovery
Researchers have developed DeepPySR, a new symbolic regression framework designed to overcome challenges in discovering analytical equations from data. This framework addresses issues like high-dimensional inputs and da…
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Money market funds face declining yields and fee reductions; Lime plans IPO with Uber as investor
Money market fund yields are declining, leading many funds to activate fee reduction clauses. The overall management fee rate for money market funds is approaching 0.4%, with some high fees impacting investor returns. I…
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New AI models enhance cancer and brain tumor detection from medical images
Researchers have developed new deep learning models for medical image analysis, focusing on cancer detection and brain tumor identification. One study introduces a computationally efficient CNN with transfer learning fo…