Evaluating machine learning models for predicting pesticide toxicity to honey bees
Fuente:
arXiv
Saved in:
| Main Authors: | Adamczyk, Jakub, Poziemski, Jakub, Siedlecki, Pawel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees
by: Adamczyk, Jakub, et al.
Published: (2024)
by: Adamczyk, Jakub, et al.
Published: (2024)
MolPILE -- large-scale, diverse dataset for molecular representation learning
by: Adamczyk, Jakub, et al.
Published: (2025)
by: Adamczyk, Jakub, et al.
Published: (2025)
Benchmarking Pretrained Molecular Embedding Models For Molecular Representation Learning
by: Praski, Mateusz, et al.
Published: (2025)
by: Praski, Mateusz, et al.
Published: (2025)
SACn: Soft Actor-Critic with n-step Returns
by: Łyskawa, Jakub, et al.
Published: (2025)
by: Łyskawa, Jakub, et al.
Published: (2025)
Explainable machine learning for predicting shellfish toxicity in the Adriatic Sea using long-term monitoring data of HABs
by: Marzidovšek, Martin, et al.
Published: (2024)
by: Marzidovšek, Martin, et al.
Published: (2024)
Performance and Efficiency of Climate In-Situ Data Reconstruction: Why Optimized IDW Outperforms kriging and Implicit Neural Representation
by: Walczak, Jakub
Published: (2025)
by: Walczak, Jakub
Published: (2025)
Towards Rational Pesticide Design with Graph Machine Learning Models for Ecotoxicology
by: Adamczyk, Jakub
Published: (2025)
by: Adamczyk, Jakub
Published: (2025)
Monitoring fairness in machine learning models that predict patient mortality in the ICU
by: van Schaik, Tempest A., et al.
Published: (2024)
by: van Schaik, Tempest A., et al.
Published: (2024)
Reinforcement learning for spin torque oscillator tasks
by: Mojsiejuk, Jakub, et al.
Published: (2025)
by: Mojsiejuk, Jakub, et al.
Published: (2025)
Exploration Behavior of Untrained Policies
by: Adamczyk, Jacob
Published: (2025)
by: Adamczyk, Jacob
Published: (2025)
Inferring Transition Dynamics from Value Functions
by: Adamczyk, Jacob
Published: (2025)
by: Adamczyk, Jacob
Published: (2025)
Application of predictive machine learning in pen & paper RPG game design
by: Śliwa, Jolanta
Published: (2025)
by: Śliwa, Jolanta
Published: (2025)
A deep learning and machine learning approach to predict neonatal death in the context of São Paulo
by: Raihan, Mohon, et al.
Published: (2025)
by: Raihan, Mohon, et al.
Published: (2025)
Scaling Fine-Grained MoE Beyond 50B Parameters: Empirical Evaluation and Practical Insights
by: Krajewski, Jakub, et al.
Published: (2025)
by: Krajewski, Jakub, et al.
Published: (2025)
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
by: Singh, Geethen, et al.
Published: (2024)
by: Singh, Geethen, et al.
Published: (2024)
Online Learning with Multiple Fairness Regularizers via Graph-Structured Feedback
by: Zhou, Quan, et al.
Published: (2025)
by: Zhou, Quan, et al.
Published: (2025)
Knowledge-guided machine learning for county-level corn yield prediction under drought
by: Wang, Xiaoyu, et al.
Published: (2025)
by: Wang, Xiaoyu, et al.
Published: (2025)
Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks - the GATTACA Framework
by: Mizera, Andrzej, et al.
Published: (2025)
by: Mizera, Andrzej, et al.
Published: (2025)
Epicure: Multidimensional Flavor Structure in Food Ingredient Embeddings
by: Radzikowski, Jakub, et al.
Published: (2026)
by: Radzikowski, Jakub, et al.
Published: (2026)
RMF: A Risk Measurement Framework for Machine Learning Models
by: Schröder, Jan, et al.
Published: (2024)
by: Schröder, Jan, et al.
Published: (2024)
Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods
by: Benítez-Andrades, José Alberto, et al.
Published: (2025)
by: Benítez-Andrades, José Alberto, et al.
Published: (2025)
Operating critical machine learning models in resource constrained regimes
by: Selvan, Raghavendra, et al.
Published: (2023)
by: Selvan, Raghavendra, et al.
Published: (2023)
survex: an R package for explaining machine learning survival models
by: Spytek, Mikołaj, et al.
Published: (2023)
by: Spytek, Mikołaj, et al.
Published: (2023)
EVEREST: An Evidential, Tail-Aware Transformer for Rare-Event Time-Series Forecasting
by: Zilinskas, Antanas, et al.
Published: (2026)
by: Zilinskas, Antanas, et al.
Published: (2026)
Cliqueformer: Model-Based Optimization with Structured Transformers
by: Kuba, Jakub Grudzien, et al.
Published: (2024)
by: Kuba, Jakub Grudzien, et al.
Published: (2024)
Deep generative models as an adversarial attack strategy for tabular machine learning
by: Dyrmishi, Salijona, et al.
Published: (2024)
by: Dyrmishi, Salijona, et al.
Published: (2024)
Practical machine learning is learning on small samples
by: Sapir, Marina
Published: (2025)
by: Sapir, Marina
Published: (2025)
Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission
by: Wang, Ziwen, et al.
Published: (2024)
by: Wang, Ziwen, et al.
Published: (2024)
Sample Complexity of Bias Detection with Subsampled Point-to-Subspace Distances
by: Matilla, German Martinez, et al.
Published: (2025)
by: Matilla, German Martinez, et al.
Published: (2025)
Can We Understand Plasticity Through Neural Collapse?
by: Bonifazi, Guglielmo, et al.
Published: (2024)
by: Bonifazi, Guglielmo, et al.
Published: (2024)
Scikit-fingerprints: easy and efficient computation of molecular fingerprints in Python
by: Adamczyk, Jakub, et al.
Published: (2024)
by: Adamczyk, Jakub, et al.
Published: (2024)
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
by: Adamczyk, Jakub, et al.
Published: (2024)
by: Adamczyk, Jakub, et al.
Published: (2024)
Machine learning and machine learned prediction in chest X-ray images
by: Garrett, Shereiff, et al.
Published: (2025)
by: Garrett, Shereiff, et al.
Published: (2025)
Pilot selection in the era of Virtual reality: algorithms for accurate and interpretable machine learning models
by: Ke, Luoma, et al.
Published: (2025)
by: Ke, Luoma, et al.
Published: (2025)
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization
by: Kuba, Jakub Grudzien, et al.
Published: (2024)
by: Kuba, Jakub Grudzien, et al.
Published: (2024)
Mirror Learning: A Unifying Framework of Policy Optimisation
by: Kuba, Jakub Grudzien, et al.
Published: (2022)
by: Kuba, Jakub Grudzien, et al.
Published: (2022)
Confidence-based Estimators for Predictive Performance in Model Monitoring
by: Kivimäki, Juhani, et al.
Published: (2024)
by: Kivimäki, Juhani, et al.
Published: (2024)
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
by: Hutson, Miles, et al.
Published: (2024)
by: Hutson, Miles, et al.
Published: (2024)
Internal narratives parameterise affective states
by: Onysk, Jakub, et al.
Published: (2025)
by: Onysk, Jakub, et al.
Published: (2025)
Generating Likely Counterfactuals Using Sum-Product Networks
by: Nemecek, Jiri, et al.
Published: (2024)
by: Nemecek, Jiri, et al.
Published: (2024)
Similar Items
-
ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees
by: Adamczyk, Jakub, et al.
Published: (2024) -
MolPILE -- large-scale, diverse dataset for molecular representation learning
by: Adamczyk, Jakub, et al.
Published: (2025) -
Benchmarking Pretrained Molecular Embedding Models For Molecular Representation Learning
by: Praski, Mateusz, et al.
Published: (2025) -
SACn: Soft Actor-Critic with n-step Returns
by: Łyskawa, Jakub, et al.
Published: (2025) -
Explainable machine learning for predicting shellfish toxicity in the Adriatic Sea using long-term monitoring data of HABs
by: Marzidovšek, Martin, et al.
Published: (2024)