Image de couverture de livre

An explainable hypothesis-driven approach to Drug-Induced Liver Injury with HADES

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wisniewski, Maciej, Topolski, Bartosz, Dabrowski-Tumanski, Pawel, Plewczynski, Dariusz, Jetka, Tomasz
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

The Geometry of Activity Cliffs: Representation Dependence and Multi-Scale Characterization of Activity Landscapes
par: Dabrowski-Tumanski, Pawel, et autres
Publié: (2026)

Bolek: A Multimodal Language Model for Molecular Reasoning
par: Grabowski, Frederic, et autres
Publié: (2026)

RapidDock: Unlocking Proteome-scale Molecular Docking
par: Powalski, Rafał, et autres
Publié: (2024)

Qualitative Evaluation of LLM-Designed GUI
par: Sawicki, Bartosz, et autres
Publié: (2026)

OmicsLM: A Multimodal Large Language Model for Multi-Sample Omics Reasoning
par: Sypetkowski, Maciej, et autres
Publié: (2026)

BioResearcher: Scenario-Guided Multi-Agent for Translational Medicine
par: Kinas, Remigiusz, et autres
Publié: (2026)

MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
par: Hu, Jia, et autres
Publié: (2025)

HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models
par: Yang, Ze, et autres
Publié: (2024)

Efficient LLM Moderation with Multi-Layer Latent Prototypes
par: Chrabąszcz, Maciej, et autres
Publié: (2025)

Statistical Arbitrage in Polish Equities Market Using Deep Learning Techniques
par: Adamczyk, Marek, et autres
Publié: (2025)

The Deep-Match Framework for Event-Related Potential Detection in EEG
par: Zylinski, Marek, et autres
Publié: (2026)

Detecting anxiety and depression in dialogues: a multi-label and explainable approach
par: de Arriba-Pérez, Francisco, et autres
Publié: (2024)

TATRA: Training-Free Instance-Adaptive Prompting Through Rephrasing and Aggregation
par: Dziuba, Bartosz, et autres
Publié: (2026)

SONG: Self-Organizing Neural Graphs
par: Struski, Łukasz, et autres
Publié: (2021)

Tag and correct: high precision post-editing approach to correction of speech recognition errors
par: Ziętkiewicz, Tomasz
Publié: (2024)

User-centric evaluation of explainability of AI with and for humans: a comprehensive empirical study
par: Bobek, Szymon, et autres
Publié: (2024)

Beyond Semantics: Measuring Fine-Grained Emotion Preservation in Small Language Model-Based Machine Translation
par: Wisniewski, Dawid, et autres
Publié: (2026)

An explainable machine learning approach for energy forecasting at the household level
par: Béraud, Pauline, et autres
Publié: (2024)

An explainable approach to detect case law on housing and eviction issues within the HUDOC database
par: Mohammadi, Mohammad, et autres
Publié: (2024)

Dataset resulting from the user study on comprehensibility of explainable AI algorithms
par: Bobek, Szymon, et autres
Publié: (2024)

Exploring Non-Regular Extensions of Propositional Dynamic Logic with Description-Logics Features
par: Bednarczyk, Bartosz
Publié: (2023)

Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
par: Kuciński, Łukasz, et autres
Publié: (2021)

A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers
par: Stępka, Ignacy, et autres
Publié: (2024)

HULLMI: Human vs LLM identification with explainability
par: Joshi, Prathamesh Dinesh, et autres
Publié: (2024)

Pheme: Efficient and Conversational Speech Generation
par: Budzianowski, Paweł, et autres
Publié: (2024)

DeepLogit: A sequentially constrained explainable deep learning modeling approach for transport policy analysis
par: Oon, Jeremy, et autres
Publié: (2025)

Towards Explainable TOPSIS: Visual Insights into the Effects of Weights and Aggregations on Rankings
par: Susmaga, Robert, et autres
Publié: (2023)

Theta‐curves in proteins
par: Pawel Dabrowski‐Tumanski, et autres
Publié: (2024)

HypeLoRA: Hyper-Network-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning
par: Trojan, Bartosz, et autres
Publié: (2026)

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
par: Cywiński, Bartosz, et autres
Publié: (2025)

Counterfactual explainability and analysis of variance
par: Gao, Zijun, et autres
Publié: (2024)

An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation
par: Abboush, Mohammad, et autres
Publié: (2026)

Data Complexity in Expressive Description Logics With Path Expressions
par: Bednarczyk, Bartosz
Publié: (2024)

Toward explainable AI approaches for breast imaging: adapting foundation models to diverse populations
par: Cavalcante, Guilherme J., et autres
Publié: (2025)

Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube
par: Lakkaraju, Kausik, et autres
Publié: (2024)

COMPASS: The explainable agentic framework for Sovereignty, Sustainability, Compliance, and Ethics
par: Dessureault, Jean-Sébastien, et autres
Publié: (2026)

Honey, I shrunk the hypothesis space (through logical preprocessing)
par: Cropper, Andrew, et autres
Publié: (2025)

Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
par: Park, Jinkyung, et autres
Publié: (2024)

Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data Annotation
par: Park, Jinkyung, et autres
Publié: (2024)

Are we still able to recognize pearls? Machine-driven peer review and the risk to creativity: An explainable RAG-XAI detection framework with markers extraction
par: Văduva, Alin-Gabriel, et autres
Publié: (2026)