Cover Image

Detecting anxiety and depression in dialogues: a multi-label and explainable approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	de Arriba-Pérez, Francisco, García-Méndez, Silvia
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting and explaining postpartum depression in real-time with generative artificial intelligence
by: García-Méndez, Silvia, et al.
Published: (2025)

Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Explainable machine learning multi-label classification of Spanish legal judgements
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Explainable e-sports win prediction through Machine Learning classification in streaming
by: García-Méndez, Silvia, et al.
Published: (2025)

Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework
by: García-Méndez, Silvia, et al.
Published: (2025)

Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Unsupervised explainable activity prediction in competitive Nordic Walking from experimental data
by: García-Méndez, Silvia, et al.
Published: (2024)

Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Informatics & dairy industry coalition: AI trends and present challenges
by: García-Méndez, Silvia, et al.
Published: (2024)

A review on the use of large language models as virtual tutors
by: García-Méndez, Silvia, et al.
Published: (2024)

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal
by: García-Méndez, Silvia, et al.
Published: (2025)

Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Explainable assessment of financial experts' credibility by classifying social media forecasts and checking the predictions with actual market data
by: García-Méndez, Silvia, et al.
Published: (2024)

Exposing and Explaining Fake News On-the-Fly
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators
by: González-González, Jaime, et al.
Published: (2024)

Online detection and infographic explanation of spam reviews with data drift adaptation
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)

Unraveling Emotions with Pre-Trained Models
by: Pajón-Sanmartín, Alejandro, et al.
Published: (2025)

Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing
by: González-González, Jaime, et al.
Published: (2024)

Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities
by: García-Méndez, Silvia, et al.
Published: (2024)

Illuminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering
by: Agrawal, Aryan
Published: (2024)

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

An explainable hypothesis-driven approach to Drug-Induced Liver Injury with HADES
by: Wisniewski, Maciej, et al.
Published: (2026)

STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability
by: Sevillano-García, Iván, et al.
Published: (2025)

Research on emotionally intelligent dialogue generation based on automatic dialogue system
by: Wang, Jin, et al.
Published: (2024)

An explainable machine learning approach for energy forecasting at the household level
by: Béraud, Pauline, et al.
Published: (2024)

Detecting mental disorder on social media: a ChatGPT-augmented explainable approach
by: Belcastro, Loris, et al.
Published: (2024)

A BERT-Based Summarization approach for depression detection
by: Gavalan, Hossein Salahshoor, et al.
Published: (2024)

A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system
by: Moreno-Saavedra, Luis M., et al.
Published: (2025)

Detecting labeling bias using influence functions
by: Jørgensen, Frida, et al.
Published: (2026)

CNN-TFT explained by SHAP with multi-head attention weights for time series forecasting
by: Stefenon, Stefano F., et al.
Published: (2025)

Online hierarchical partitioning of the output space in extreme multi-label data stream
by: Neves, Lara, et al.
Published: (2025)

MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
by: Hu, Jia, et al.
Published: (2025)

An explainable approach to detect case law on housing and eviction issues within the HUDOC database
by: Mohammadi, Mohammad, et al.
Published: (2024)

MIND: Multi-agent inference for negotiation dialogue in travel planning
by: Do, Hunmin, et al.
Published: (2026)

HULLMI: Human vs LLM identification with explainability
by: Joshi, Prathamesh Dinesh, et al.
Published: (2024)

DeepLogit: A sequentially constrained explainable deep learning modeling approach for transport policy analysis
by: Oon, Jeremy, et al.
Published: (2025)

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

Algorithms for automatic intents extraction and utterances classification for goal-oriented dialogue systems
by: Legashev, Leonid, et al.
Published: (2023)

Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
by: Guan, ChaoFeng, et al.
Published: (2024)

Counterfactual explainability and analysis of variance
by: Gao, Zijun, et al.
Published: (2024)