Description
Book Synopsis.- Deep Learning and Representation Learning.
.- Knowledge Distillation of Class Activation Maps from Two Teachers for Continual Learning.
.- RAPID: Robust Adaptive Probabilistic Inference with DINO Features.
.- MapFM: Foundation Model-Driven HD Mapping with Multi-Task Contextual Learning.
.- Revisiting Automatic Essay Assessment: A Relative Approach.
.- Evaluating the Usefulness of Large Language Models for Human Activity Recognition Data Augmentation via Few-shot Samples.
.- Determination of galaxy photometric redshifts using Conditional Generative Adversarial Networks (CGANs).
.- Hybrid Vision System for Minor Pre-Assembly Identification in a Robotic Welding Cell.
.- An energy efficient model based on the feature pseudo-embedding.
.- HAIS Energy Applications.
.- Forecasting Thermal Demand in Citizen Energy Communities Using Machine Learning: Application to the Urberoa Case Study.
.- A Hybrid Modelling Approach for Forecasting the Acquired Electrical Power from Photovoltaic Panels.
.- KARMA: KAN meets ARIMA.
.- IIoT-Driven Time Series Imputation for Sustainable Metalworking Fluid Monitoring.
.- Evolutionary Computation and Optimization.
.- An Adaptive Memetic Algorithm for Solving the Multiple Knapsack Assignment Problem.
.- Advanced Decomposition-based Bioinspired Algorithms for Multiobjective Phylogenetics.
.- An Ant Colony Optimization Approach for Safest Path Pair Computation under Correlated Failures.
.- DRL-Driven Batch-Oriented SDN Migration with Weighted Traffic Matrix Clustering for Dynamic Networks.
.- Reinforcement Learning and AI Planning.
.- Emotional Value-aware Agents: a Viewpoint paper.
.- Neuro-Symbolic Reasoning with Multiple Large Language Models Combined by First-Order Logic.
.- SimplyQRL: A Modular Benchmarking Library for Hybrid Quantum Reinforcement Learning.
.- Enhancing World Models with Specialized Prediction Networks for Reinforcement Learning.
.- Smart Mobility and Transportation Optimization.
.- Clustering-Based Route Optimization for Mixed Ride-Sharing under Time Constraints.
.- Origin-Destination Frequency Tensors and Their Application in Machine Learning Modelling.
.- Fast-TRACLUS: An Optimized Trajectory Clustering Algorithm for Large-Scale Datasets.
.- Action Space Size Effects in Reinforcement Learning for the Vehicle Routing Problem.
.- Time Series and Forecasting Methods.
.- Perplexity, Uncertainty, and the Limits of Active Learning.
.- Channel selection and creation algorithms for Electroencephalography classification with HIVE-COTE.
.- Multivariate Regime Identification and Prediction in Financial Markets via Gaussian Mixture and Gradient Boosting Methods.
.- On-Edge Task Planning with Large Language Models for Service Robotics.
