:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	McShannon, David, Mella, Anthony, Dietrich, Nicholas
Format:	Preprint
Published:	2026
Subjects:	Sound Artificial Intelligence Machine Learning I.2.0
Online Access:	https://arxiv.org/abs/2602.02955
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adversarial Robustness of Deep Learning-Based Thyroid Nodule Segmentation in Ultrasound
by: Dietrich, Nicholas, et al.
Published: (2026)

Artificial Inductive Bias for Synthetic Tabular Data Generation in Data-Scarce Scenarios
by: Apellániz, Patricia A., et al.
Published: (2024)

Synthetic Tabular Data Validation: A Divergence-Based Approach
by: Apellániz, Patricia A., et al.
Published: (2024)

Boundary Regression for Leitmotif Detection in Music Audio
by: Lee, Sihun, et al.
Published: (2025)

Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
by: Guo, Xu, et al.
Published: (2024)

Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
by: Dong, Chang, et al.
Published: (2024)

Knowledge Distillation for Real-Time Classification of Early Media in Voice Communications
by: Altwlkany, Kemal, et al.
Published: (2024)

Graceful task adaptation with a bi-hemispheric RL agent
by: Nicholas, Grant, et al.
Published: (2024)

How Data Quality Affects Machine Learning Models for Credit Risk Assessment
by: Maurino, Andrea
Published: (2025)

Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data: Benchmark on Two Mixed Training Strategies
by: Wachter, Paul, et al.
Published: (2025)

FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
by: Xiao, Zikai, et al.
Published: (2024)

SpecWav-Attack: Leveraging Spectrogram Resizing and Wav2Vec 2.0 for Attacking Anonymized Speech
by: Li, Yuqi, et al.
Published: (2025)

Tracking daily paths in home contexts with RSSI fingerprinting based on UWB through deep learning models
by: Polo-Rodríguez, Aurora, et al.
Published: (2025)

Deepfake audio as a data augmentation technique for training automatic speech to text transcription models
by: Ferreira, Alexandre R., et al.
Published: (2023)

Deceptive Diffusion: Generating Synthetic Adversarial Examples
by: Beerens, Lucas, et al.
Published: (2024)

TrojanTime: Backdoor Attacks on Time Series Classification
by: Dong, Chang, et al.
Published: (2025)

Improving Time Series Classification with Representation Soft Label Smoothing
by: Ma, Hengyi, et al.
Published: (2024)

Developing Acoustic Models for Automatic Speech Recognition in Swedish
by: Salvi, Giampiero
Published: (2024)

VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification
by: Heublein, Lucas, et al.
Published: (2025)

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
by: Zhang, Jiaxing, et al.
Published: (2023)

Deeper Understanding of Black-box Predictions via Generalized Influence Functions
by: Lyu, Hyeonsu, et al.
Published: (2023)

TiVaT: A Transformer with a Single Unified Mechanism for Capturing Asynchronous Dependencies in Multivariate Time Series Forecasting
by: Ha, Junwoo, et al.
Published: (2024)

MultiPruner: Balanced Structure Removal in Foundation Models
by: Muñoz, J. Pablo, et al.
Published: (2025)

Deep one-gate per layer networks with skip connections are universal classifiers
by: Rojas, Raul
Published: (2025)

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior
by: Gonzalez, Laura Gomezjurado
Published: (2026)

Towards Measuring Goal-Directedness in AI Systems
by: Xu, Dylan, et al.
Published: (2024)

Study of the Proper NNUE Dataset
by: Tan, Daniel, et al.
Published: (2024)

Critical appraisal of artificial intelligence for rare-event recognition: principles and pharmacovigilance case studies
by: Noren, G. Niklas, et al.
Published: (2025)

Pictures Of MIDI: Controlled Music Generation via Graphical Prompts for Image-Based Diffusion Inpainting
by: Hawley, Scott H.
Published: (2024)

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
by: Yan, Peng, et al.
Published: (2023)

Interpretability-Guided Bi-objective Optimization: Aligning Accuracy and Explainability
by: Fouladi, Kasra, et al.
Published: (2026)

Avoiding Death through Fear Intrinsic Conditioning
by: Sanchez, Rodney, et al.
Published: (2025)

An Axiomatic Approach to General Intelligence: SANC(E3) -- Self-organizing Active Network of Concepts with Energy E3
by: Kwon, Daesuk, et al.
Published: (2026)

Enhancing Multi-Agent Collaboration with Attention-Based Actor-Critic Policies
by: Belinchon, Hugo Garrido-Lestache, et al.
Published: (2025)

Social Learning through Interactions with Other Agents: A Survey
by: Hillier, Dylan, et al.
Published: (2024)

Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach
by: Elliker, Clément, et al.
Published: (2025)

Uncertainty-Aware Reward Discounting for Mitigating Reward Hacking
by: Singha, Disha
Published: (2026)

David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge
by: Costa, Miguel, et al.
Published: (2024)

Data Readiness for AI: A 360-Degree Survey
by: Hiniduma, Kaveen, et al.
Published: (2024)

Energy-Efficient Deep Learning Without Backpropagation: A Rigorous Evaluation of Forward-Only Algorithms
by: Spyra, Przemysław, et al.
Published: (2025)