Buchumschlag

Data from: Interpretable machine learning reveals context-dependent decision-making by migratory songbirds

Fuente: Zenodo

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Anonymous
Format:	Recurso digital
Veröffentlicht:	Zenodo 2026
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Personal and neighbourhood information are drivers in breeding dispersal departure decisions of a territorial migratory songbird
von: Paula M. Cimprich, et al.
Veröffentlicht: (2025)

An ecological vulnerability index to assess impacts of offshore wind facilities on migratory songbirds
von: Leon A. Green‐Tkacenko, et al.
Veröffentlicht: (2024)

The role of EU ‐promoted versus local narratives in migratory decision‐making in the Gambia
von: Omar N. Cham, et al.
Veröffentlicht: (2025)

Ephemeral river islands serve as roosting and foraging habitat for boreal and austral migratory songbirds
von: Valentina Gómez‐Bahamón, et al.
Veröffentlicht: (2024)

Automated machine learning: AI-driven decision making in business analytics
von: Schmitt, Marc
Veröffentlicht: (2022)

The impact of machine learning forecasting on strategic decision-making for Bike Sharing Systems
von: Angelelli, Enrico, et al.
Veröffentlicht: (2026)

Redistribution of songbirds within a migratory stopover site as a response to sylviid warbler song playback
von: Yael Lehnardt, et al.
Veröffentlicht: (2024)

Clinical decision making: Evolving from the hypothetico‐deductive model to knowledge‐enhanced machine learning
von: Han Yuan
Veröffentlicht: (2024)

Foreclassing: A new machine learning perspective on human decision making with temporal data
von: Coulson, Daniel Andrew, et al.
Veröffentlicht: (2025)

Identity and decision-making for sustainability in the context of small islands
von: José Benedicto
Veröffentlicht: (2014)

The Translocation Continuum Framework for context‐specific decision making
von: Belinda A Wilson, et al.
Veröffentlicht: (2024)

Trust in AI emerges from distrust in humans: A machine learning study on decision-making guidance
von: Galindez-Acosta, Johan Sebastián, et al.
Veröffentlicht: (2025)

Man and machine: artificial intelligence and judicial decision making
von: Dyevre, Arthur, et al.
Veröffentlicht: (2026)

Bourdieu and the ‘migrant-body’: embodiment in the migratory context
von: Marcelo Alario Ennes
Veröffentlicht: (2020)

The role of scientific evidence and social context in protected area decision making
von: Tsegaye T. Gatiso, et al.
Veröffentlicht: (2025)

Patient autonomy and shared decision‐making in the context of clinical trial participation
von: Fabio Dennstädt, et al.
Veröffentlicht: (2024)

Causal machine learning reveals age-dependent radiation dose effects on mandibular osteoradionecrosis
von: Chen, Jingyuan, et al.
Veröffentlicht: (2026)

A feature-stable and explainable machine learning framework for trustworthy decision-making under incomplete clinical data
von: Andrys-Olek, Justyna, et al.
Veröffentlicht: (2026)

Flying stimulates the antioxidant system and protects against oxidative damage in a migratory songbird, yet diet quality has little effect
von: Kristen J. DeMoranville, et al.
Veröffentlicht: (2025)

Confidence-weighted integration of human and machine judgments for superior decision-making
von: Yáñez, Felipe, et al.
Veröffentlicht: (2024)

Data and code for "Heart rate biologgers reveal individual-specific energy landscapes for mule deer"
von: Anonymous, Anonymous
Veröffentlicht: (2025)

Knowledge as a capability to make decisions: Experiences with a virtual support context
von: Hannu Kivijärvi
Veröffentlicht: (2024)

Microscopic origin of polytype-dependent melting in SiC revealed by machine-learning molecular dynamics
von: Stojanović, Ljiljana, et al.
Veröffentlicht: (2026)

A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification
von: Larsen, Kristoffer, et al.
Veröffentlicht: (2023)

Symmetric conformity functions make decision-making processes independent of the distribution of learning strategies
von: Jędrzejewski, Arkadiusz, et al.
Veröffentlicht: (2023)

Where is Dmitry going? Framing 'migratory' decisions in the criminal underground
von: Allodi, Luca, et al.
Veröffentlicht: (2024)

Determine if they can decide—Rethinking adolescent decision‐making ability in the trial and medical context
von: Naqsha Biliangady
Veröffentlicht: (2024)

Alf Ross’ theory of legal validity in the context of current research on the judicial decision-making
von: Katarzyna ELIASZ
Veröffentlicht: (2015)

Joint modeling for learning decision-making dynamics in behavioral experiments
von: Bian, Yuan, et al.
Veröffentlicht: (2025)

Revenue Management in Tourism and Hospitality Analytical strategies, decision making, and revenue optimization in competitive contexts
von: Manzano Insuasti, Pablo Raúl
Veröffentlicht: (2026)

Information and values in the decision-making support: A systematic literature review in the corporate sustainability context
von: Rafael Felix da Silva
Veröffentlicht: (2023)

Predicting human decisions with behavioral theories and machine learning
von: Plonsky, Ori, et al.
Veröffentlicht: (2019)

DMP in the context of a European project
von: Anonymous
Veröffentlicht: (2024)

Changing the decision context to enable social learning for climate adaptation
von: Matthew J. Colloff, et al.
Veröffentlicht: (2025)

Bond defaults in China: Using machine learning to make predictions
von: Bei Cui, et al.
Veröffentlicht: (2025)

Meta-learning ecological priors from large language models explains human learning and decision making
von: Jagadish, Akshay K., et al.
Veröffentlicht: (2025)

Landscape experiences as a cultural ecosystem service in a Nordic context: Concepts, values and decision-making
von: Lindhjem, Henrik, et al.
Veröffentlicht: (2016)

Interpretable machine learning for cardiogram-based biometrics
von: Tanasković, Ilija, et al.
Veröffentlicht: (2025)

Localized inhomogeneity and position-dependent stability of migratory bird formations
von: Hui, Jiang, et al.
Veröffentlicht: (2026)

Indicators of ADHD symptoms in virtual learning context using machine learning technics
von: Laura Patricia Mancera Valetts
Veröffentlicht: (2015)