:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Araújo, Carlos Eduardo do Egito, Sgobbi, Lívia F., Sene Jr, Iwens Gervasio, de Carvalho, Sergio Teixeira
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2401.14413
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies
by: Sequeira, Pedro, et al.
Published: (2025)

Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation
by: Santos, Moisés, et al.
Published: (2023)

Towards a Foundation Model for Partial Differential Equations Across Physics Domains
by: Soares, Eduardo, et al.
Published: (2025)

Joint Learning of Context and Feedback Embeddings in Spoken Dialogue
by: Qian, Livia, et al.
Published: (2024)

Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuning
by: Qian, Livia, et al.
Published: (2026)

From Shallow Bayesian Neural Networks to Gaussian Processes: General Convergence, Identifiability and Scalable Inference
by: de Araújo, Gracielle Antunes, et al.
Published: (2026)

Representation of perceived prosodic similarity of conversational feedback
by: Qian, Livia, et al.
Published: (2025)

RITA: Automatic Framework for Designing of Resilient IoT Applications
by: Pessoa, Luis Eduardo, et al.
Published: (2024)

When a Reinforcement Learning Agent Encounters Unknown Unknowns
by: Zhu, Juntian, et al.
Published: (2025)

Federated Learning with Graph-Based Aggregation for Traffic Forecasting
by: Banik, Audri, et al.
Published: (2025)

Evaluating Temporal and Structural Anomaly Detection Paradigms for DDoS Traffic
by: Lima, Yasmin Souza, et al.
Published: (2026)

Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences
by: Alam, Md Mahbub, et al.
Published: (2025)

Graph Mining under Data scarcity
by: Rakaraddi, Appan, et al.
Published: (2024)

Detecting Hidden Triggers: Mapping Non-Markov Reward Functions to Markov
by: Hyde, Gregory, et al.
Published: (2024)

Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning
by: Gama, Gabriel S., et al.
Published: (2025)

Multi-vessel Interaction-Aware Trajectory Prediction and Collision Risk Assessment
by: Alam, Md Mahbub, et al.
Published: (2025)

Dynamic Design of Machine Learning Pipelines via Metalearning
by: Alcobaça, Edesio, et al.
Published: (2025)

Spacetime $E(n)$-Transformer: Equivariant Attention for Spatio-temporal Graphs
by: Charles, Sergio G.
Published: (2024)

Predictive representations: building blocks of intelligence
by: Carvalho, Wilka, et al.
Published: (2024)

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

Nutrition Facts, Drug Facts, and Model Facts: Putting AI Ethics into Practice in Gun Violence Research
by: Zhu, Jessica, et al.
Published: (2024)

On-board Telemetry Monitoring in Autonomous Satellites: Challenges and Opportunities
by: Capelli, Lorenzo, et al.
Published: (2026)

RouteFormer: A Transformer-Based Routing Framework for Autonomous Vehicles
by: Youssef, Yazan, et al.
Published: (2025)

Matrix Low-Rank Approximation For Policy Gradient Methods
by: Rozada, Sergio, et al.
Published: (2024)

Matrix Low-Rank Trust Region Policy Optimization
by: Rozada, Sergio, et al.
Published: (2024)

Tensor Low-rank Approximation of Finite-horizon Value Functions
by: Rozada, Sergio, et al.
Published: (2024)

Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
by: Carvalho, Tales H., et al.
Published: (2024)

A Closed-form Solution for Weight Optimization in Fully-connected Feed-forward Neural Networks
by: Tomic, Slavisa, et al.
Published: (2024)

Transferring Clinical Knowledge into ECGs Representation
by: Fernandes, Jose Geraldo, et al.
Published: (2025)

Learning Policy Representations for Steerable Behavior Synthesis
by: Li, Beiming, et al.
Published: (2026)

Physics-Informed Neural Network based Damage Identification for Truss Railroad Bridges
by: Shajihan, Althaf, et al.
Published: (2025)

How Reliable and Stable are Explanations of XAI Methods?
by: Ribeiro, José, et al.
Published: (2024)

ML Compass: Navigating Capability, Cost, and Compliance Trade-offs in AI Model Deployment
by: Digalakis Jr, Vassilis, et al.
Published: (2025)

Deep Reinforcement Learning Agents for Strategic Production Policies in Microeconomic Market Simulations
by: Garrido-Merchán, Eduardo C., et al.
Published: (2024)

An Inverse Modeling Constrained Multi-Objective Evolutionary Algorithm Based on Decomposition
by: Farias, Lucas R. C., et al.
Published: (2024)

ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging
by: Santos, Iury B. de A., et al.
Published: (2024)

Command & Control (C2) Traffic Detection Via Algorithm Generated Domain (Dga) Classification Using Deep Learning And Natural Language Processing
by: Felix, Maria Milena Araujo
Published: (2025)

Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
by: Rozada, Sergio, et al.
Published: (2022)

Interpretable Time Series Autoregression for Periodicity Quantification
by: Chen, Xinyu, et al.
Published: (2025)

Mirror Descent and Novel Exponentiated Gradient Algorithms Using Trace-Form Entropies and Deformed Logarithms
by: Cichocki, Andrzej, et al.
Published: (2025)