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Machine learning-based classification of diabetes mellitus using sociodemographic, behavioral, and clinical predictor MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services OPD-V: Visual On-Policy Self-Distillation with Modality Balance Spectral Aliasing Pretext: A novel task for Self-Supervised fault diagnosis in rotating machinery
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Machine learning-based classification of diabetes mellitus using sociodemographic, behavioral, and clinical predictor

August 8, 2026 Admin
AI RESEARCH

MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI

August 8, 2026 Admin
AI RESEARCH

Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services

August 7, 2026 Admin
AI RESEARCH

OPD-V: Visual On-Policy Self-Distillation with Modality Balance

August 7, 2026 Admin
AI RESEARCH

Spectral Aliasing Pretext: A novel task for Self-Supervised fault diagnosis in rotating machinery

August 7, 2026 Admin
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Machine learning-based classification of diabetes mellitus using sociodemographic, behavioral, and clinical predictor
AI RESEARCH
Machine learning-based classification of diabetes mellitus using sociodemographic, behavioral, and clinical predictor
MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI
AI RESEARCH
MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI
Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services
AI RESEARCH
Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services
OPD-V: Visual On-Policy Self-Distillation with Modality Balance
AI RESEARCH
OPD-V: Visual On-Policy Self-Distillation with Modality Balance
AI Education: How to Get Ahead in the 21st Century Job Market!
GENERAL AI NEWS
AI Education: How to Get Ahead in the 21st Century Job Market!
The Power of NLP: How to Transform Text into Actionable Insights!
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The Power of NLP: How to Transform Text into Actionable Insights!
The AI Breakthrough That Could Change the World!
AI RESEARCH
The AI Breakthrough That Could Change the World!
Mastering NLP: How to Use Language to Your Advantage in the Digital Age!
GENERAL AI NEWS
Mastering NLP: How to Use Language to Your Advantage in the Digital Age!
Machine learning-based classification of diabetes mellitus using sociodemographic, behavioral, and clinical predictor
AI RESEARCH
Machine learning-based classification of diabetes mellitus using sociodemographic, behavioral, and clinical predictor
MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI
AI RESEARCH
MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI
Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services
AI RESEARCH
Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services
OPD-V: Visual On-Policy Self-Distillation with Modality Balance
AI RESEARCH
OPD-V: Visual On-Policy Self-Distillation with Modality Balance
AI RESEARCH

LLM-Based Adversarial Persuasion Attacks on Fact-Checking Systems

January 26, 2026 Admin

arXiv:2601.16890v1 Announce Type: cross Abstract: Automated fact-checking (AFC) systems are susceptible to adversarial attacks, enabling false claims to evade detection.…

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A Mobile Application Front-End for Presenting Explainable AI Results in Diabetes Risk Estimation

January 26, 2026 Admin

arXiv:2601.15292v2 Announce Type: replace-cross Abstract: Diabetes is a significant and continuously rising health challenge in Indonesia. Although many artificial intelligence…

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Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images

January 24, 2026 Admin

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Gated Sparse Attention: Combining Computational Efficiency with Training Stability for Long-Context Language Models

January 23, 2026 Admin

arXiv:2601.15305v1 Announce Type: new Abstract: The computational burden of attention in long-context language models has motivated two largely independent lines…

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Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanism

January 23, 2026 Admin

arXiv:2601.15249v2 Announce Type: replace-cross Abstract: Machine learning and artificial intelligence conferences such as NeurIPS and ICML now regularly receive tens…

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FAIR-ESI: Feature Adaptive Importance Refinement for Electrophysiological Source Imaging

January 23, 2026 Admin

arXiv:2601.15731v1 Announce Type: cross Abstract: An essential technique for diagnosing brain disorders is electrophysiological source imaging (ESI). While model-based optimization…

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DualShield: Safe Model Predictive Diffusion via Reachability Analysis for Interactive Autonomous Driving

January 23, 2026 Admin

arXiv:2601.15729v1 Announce Type: cross Abstract: Diffusion models have emerged as a powerful approach for multimodal motion planning in autonomous driving.…

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Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models

January 23, 2026 Admin

arXiv:2601.14758v2 Announce Type: replace-cross Abstract: Post-training pretrained Autoregressive models (ARMs) into Masked Diffusion models (MDMs) has emerged as a cost-effective…

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Smart comprehend gesture based emotions recognition system for people with hearing disability utilizing spatio temporal graph convolutional network techniques

January 23, 2026 Admin

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Spatial heterogeneity and subtypes of functional connectivity development in youth

January 23, 2026 Admin

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Machine learning-based classification of diabetes mellitus using sociodemographic, behavioral, and clinical predictor

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MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI

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Agentic Nesting: A New Methodology for Existing Enterprise Application Integration and Services

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