LISTA DE TRABAJOS ACEPTADOS:

Presentaciones Magistrales:

• Agentes de Inferencia Causal

• Recent Advances in Optical Microscopy Image Analysis – Detecting parasites and Classifying cells of histochemical and immunohistochemical images

• ¿Cómo obtener modelos representativos de aprendizaje automático en diferentes dominios?

Sesión Oral 1: IA para percepción y lenguaje

• Multilingual terms of reference for information and communication technologies adoption: extraction methodology and similarity evaluation

• SceneSet: Open-Source Toolbox for Human Figure Segmentation and Background Generation in Portraits

• Imitator: Gloss-Free Sign Language Translation via Embedding Alignment with LLaMA

• Día 1: Enlace para preguntas.

Sesión Oral 2: IA aplicada a transporte y clima

• Detection of hazardous traffic events in the Metropolitano lane

• Evaluation of Two Approaches for Rainfall Prediction in the Junín Region: A Balanced Binary Classification Model and a Neural Network Classifier Model

• Machine learning model to predict precipitation levels based on climatic conditions in LAMAR - Junín, Peru

• Día 2: Enlace para preguntas

Sesión Poster 1:

• ID1_01 - Predicting Anemia Levels in Peruvian Children Using Machine Learning

• ID1_02 - An AI-Based Model for Predicting the Risk of Diabetic Nephropathy

• ID1_03 - Integration of Classification, Survival, and Explainability Approaches for Breast Cancer Recurrence Prediction Using Clinical and Molecular Data

• ID1_04 - Benchmarking Deep Learning Methods for Large-Scale Poultry Tracking: Towards Scalable and Non-Invasive Monitoring

• ID1_05 - Transformer-based Super-resolution for RGB Satellite Images Using PeruSAT-1 Data

• ID1_06 - Detección y clasificación automática de unidades vehiculares en la Carretera Central a partir de imágenes del PeruSAT-1

• ID1_07 - Linear and Nonlinear Modeling of SPI in Peru Using Multilayer Neural Networks and ENSO-CHIRPS Predictors

• ID1_08 - Quantum Machine Learning as a New Frontier in Credit Default Models

• ID1_09 - Adaptive and Interactive Speech Conversational Humanoid Agent: NAO V6 with RAG

• ID1_10 - Prompting Analysis for Programming Exercises in Computer Science Courses

• ID1_11 - Transfer Learning en Deep Reinforcement Learning: Evaluación Comparativa en Entornos Atari

Sesión Poster 2:

• ID2_01 - Comparative Evaluation of Rainfall Prediction Models in Junín: Hybrid Classification–Regression vs. Balanced Binary Classification

• ID2_02 - Análisis de imágenes médicas para la clasificación de cáncer de pulmón a partir de tomografías computarizadas basado en técnicas de deep learning

• ID2_03 - Pattern Detection in Metabolic Syndrome Using Unsupervised Learning Techniques and Association Rules

• ID2_04 - Modelos de aprendizaje automático para estimar la severidad de la lumbalgia con datos clínicos, biomecánicos e imágenes

• ID2_05 - Forecasting Poultry Prices with Lagged Sentiment and Multimodal Deep Learning

• ID2_06 - Implementation of a semi-supervised framework based on Spatial Transformer Networks for multispectral image registration with affine transformation

• ID2_07 - Fusión multimodal de imágenes satelitales y de fachada para la predicción de vulnerabilidad sísmica en Lima Metropolitana

• ID2_08 - Hybrid Optimization and Machine Learning Approach for Constrained Problems: A Global Case Study on Soybean Production

• ID2_09 - Análisis automatizado de noticias de violencia y crimen en medios peruanos mediante técnicas de inteligencia artificial

• ID2_10 - Modelo de aprendizaje automático para la predicción de la ejecución presupuestaria municipal en base a indicadores distritales

• ID2_11 - LAVA – Liveness Authentication for Verified Access

• ID2_12 - Hybrid Metaheuristics for Dynamic VRPTW in Urban LPG Distribution: Unified Pathfinding, Real-Time Replanning, and Comparative Evaluation