Results 241 to 250 of about 339,627 (329)

Privacy-Aware Continual Self-Supervised Learning on Multi-Window Chest Computed Tomography for Domain-Shift Robustness. [PDF]

Bioengineering (Basel)
Tasai R, Li G, Togo R, Ogawa T, Hirata K, Tang M, Yoshimura T, Sugimori H, Nishioka N, Shimizu Y, Kudo K, Haseyama M.   +11 more
europepmc   +1 more source

Persistent Integrative Learning Framework: A Retrovirus-Inspired Approach to Mitigating Catastrophic Forgetting in Multi-Domain Artificial Intelligence

Sami Rashid Mohammed Shibah
openalex   +1 more source

An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning [PDF]

Andrew Bai, Chao-Yang Yeh, Cho‐Jui Hsieh, A B Taly   +3 more
openalex   +1 more source

PREAMBULAR HISTORY: THE VIEW OF THE PAST IN KEY HUMAN RIGHTS INSTRUMENTS

History and Theory, Volume 65, Issue 1, Page 3-31, March 2026.
ABSTRACT This article claims that the preambles of foundational human rights instruments, taken together, articulate a consistent view of the past. This view is firmly rooted in historical processes, embedded in metaphysical truths, and enacted in service of the future. Part 1 assesses the strengths and weaknesses of the “preambular approach to history”
Antoon De Baets
wiley   +1 more source

IViT: An Incremental Learning Method for Object Detection of Hidden Hazards in Transmission Line Corridors. [PDF]

Sensors (Basel)
Li M, Fan K, Luo P, Liu J.
europepmc   +1 more source

The Golden Dream: Irrational Neuromodulation as a Mechanism for Memory Consolidation and Prevention of Catastrophic Forgetting

Manuel Galup, Natalia Cecilia Martínez-Fernández   +1 more
openalex   +1 more source

MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning [PDF]

Huiyu Xiong, Lanxiao Wang, Heqian Qiu, Taijin Zhao, Benliu Qiu, Hongliang Li   +5 more
openalex   +1 more source

Revealing Deep Learning Model Preferences for Spatio‐Temporal Drivers of Runoff Forecasting: A SHAP‐Based Comparative Study

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Accurate runoff forecasting is essential for flood prediction and disaster preparedness amid increasing hydrological extremes driven by climate change. While deep learning models offer high efficiency, most interpretability studies focus on single models.
Ziru Yang, Yong Lei, Guoru Huang, Zhaoyang Zeng, Long Qi, Wenjie Chen   +5 more
wiley   +1 more source

Incorporating large language models as clinical decision support in oncology: the Woollie model. [PDF]

NPJ Digit Med
Heydari K, Enichen EJ, Li B, Kvedar JC.
europepmc   +1 more source

Lives Transformed—The Experiences of Significant Others Supporting Patients With Severe Burn Injury: A Narrative Inquiry

Journal of Clinical Nursing, Volume 35, Issue 3, Page 1396-1405, March 2026.
ABSTRACT Aim To explore the experiences of significant others of patients with severe burn injury in the intensive care unit. Specifically, how severe burn injury impacted the significant other and their role within their loved one's life. Design This qualitative study employed a Narrative Inquiry approach.
Elizabeth Flannery, Kath Peters, Gillian Murphy, Elizabeth Halcomb, Lucie M. Ramjan   +4 more
wiley   +1 more source