Image de couverture de livre

Combining Deep Learning and Explainable AI for Toxicity Prediction of Chemical Compounds

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Popescu, Eduard, Groza, Adrian, Cernat, Andreea
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Exploring Machine Learning, Deep Learning, and Explainable AI Methods for Seasonal Precipitation Prediction in South America
par: Domingos, Matheus Corrêa, et autres
Publié: (2025)

Explainable Fundus Image Curation and Lesion Detection in Diabetic Retinopathy
par: Mihai, Anca, et autres
Publié: (2025)

Towards Explainable Deep Learning for Ship Trajectory Prediction in Inland Waterways
par: Legel, Tom, et autres
Publié: (2026)

Textual Equilibrium Propagation for Deep Compound AI Systems
par: Chen, Minghui, et autres
Publié: (2026)

Compressing Deep Neural Networks Using Explainable AI
par: Soroush, Kimia, et autres
Publié: (2025)

Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models
par: Wang, Zhenzhong, et autres
Publié: (2024)

Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care
par: Cheng, Yuxiao, et autres
Publié: (2025)

Explainable AI for Fair Sepsis Mortality Predictive Model
par: Chang, Chia-Hsuan, et autres
Publié: (2024)

Root Causing Prediction Anomalies Using Explainable AI
par: Vishnampet, Ramanathan, et autres
Publié: (2024)

A Survey on Explainable Deep Reinforcement Learning
par: Cheng, Zelei, et autres
Publié: (2025)

Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction
par: Abbas, Saram, et autres
Publié: (2025)

AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
par: Jawad, K M Tawsik, et autres
Publié: (2024)

Explainable Machine Learning for ICU Readmission Prediction
par: de Sá, Alex G. C., et autres
Publié: (2023)

DPD-Cancer: Explainable Graph-Based Deep Learning for Small Molecule Anti-Cancer Activity Prediction
par: Strømme, Magnus H., et autres
Publié: (2026)

Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction
par: Najjar, Hiba, et autres
Publié: (2025)

Predicting Open Source Software Sustainability with Deep Temporal Neural Hierarchical Architectures and Explainable AI
par: Karim, S M Rakib Ul, et autres
Publié: (2026)

Using Part-based Representations for Explainable Deep Reinforcement Learning
par: Kirtas, Manos, et autres
Publié: (2024)

Quantum-Enhanced Multi-Task Learning with Learnable Weighting for Pharmacokinetic and Toxicity Prediction
par: Zhang, Han, et autres
Publié: (2025)

AI for Water Sustainability: Global Water Quality Assessment and Prediction with Explainable AI with LLM Chatbot for Insights
par: Paneru, Biplov, et autres
Publié: (2024)

Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI
par: Böck, Adrian Jaques, et autres
Publié: (2024)

From Predictions to Explanations: Explainable AI for Autism Diagnosis and Identification of Critical Brain Regions
par: Gupta, Kush, et autres
Publié: (2025)

Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards
par: Wu, Shirley, et autres
Publié: (2025)

Explainable AI needs formalization
par: Haufe, Stefan, et autres
Publié: (2024)

A Comprehensive Perspective on Explainable AI across the Machine Learning Workflow
par: Paterakis, George, et autres
Publié: (2025)

Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics
par: Munoz, Cristian, et autres
Publié: (2023)

Digital Twin-Assisted Explainable AI for Robust Beam Prediction in mmWave MIMO Systems
par: Khan, Nasir, et autres
Publié: (2025)

Explainable Hierarchical Deep Learning Neural Networks (Ex-HiDeNN)
par: Batley, Reza T., et autres
Publié: (2025)

Enhancing Psychologists' Understanding through Explainable Deep Learning Framework for ADHD Diagnosis
par: Rehman, Abdul, et autres
Publié: (2026)

Combining GCN Structural Learning with LLM Chemical Knowledge for Enhanced Virtual Screening
par: Berreziga, Radia, et autres
Publié: (2025)

An Introductory Survey to Autoencoder-based Deep Clustering -- Sandboxes for Combining Clustering with Deep Learning
par: Leiber, Collin, et autres
Publié: (2025)

Rethinking Explainability in the Era of Multimodal AI
par: Agarwal, Chirag
Publié: (2025)

Explainable AI For Early Detection Of Sepsis
par: Thakur, Atharva, et autres
Publié: (2025)

Verifying Machine Unlearning with Explainable AI
par: Vidal, Àlex Pujol, et autres
Publié: (2024)

A Puzzle-Based Dataset for Natural Language Inference
par: Szomiu, Roxana, et autres
Publié: (2021)

Clarifying Model Transparency: Interpretability versus Explainability in Deep Learning with MNIST and IMDB Examples
par: Raj, Mitali
Publié: (2025)

Co-Activation Graph Analysis of Safety-Verified and Explainable Deep Reinforcement Learning Policies
par: Gross, Dennis, et autres
Publié: (2025)

An Explainable Ensemble Learning Framework for Crop Classification with Optimized Feature Pyramids and Deep Networks
par: Masud, Syed Rayhan, et autres
Publié: (2026)

DeepMech: A Machine Learning Framework for Chemical Reaction Mechanism Prediction
par: Das, Manajit, et autres
Publié: (2025)

EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions
par: Nguyen, Ngoc-Quang
Publié: (2025)

Policy Induction: Predicting Startup Success via Explainable Memory-Augmented In-Context Learning
par: Mu, Xianling, et autres
Publié: (2025)