:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Maganaris, Constantine, Protopapadakis, Eftychios, Doulamis, Nikolaos
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence 68T10
Online Access:	https://arxiv.org/abs/2406.09966
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-scale Intervention Planning based on Generative Design
by: Kavouras, Ioannis, et al.
Published: (2024)

Large Language Model Meets Graph Neural Network in Knowledge Distillation
by: Hu, Shengxiang, et al.
Published: (2024)

TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
by: Sardina, Jeffrey, et al.
Published: (2024)

3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network
by: Chen, Qinyu, et al.
Published: (2023)

Length independent generalization bounds for deep SSM architectures via Rademacher contraction and stability constraints
by: Rácz, Dániel, et al.
Published: (2024)

Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability
by: Zhang, Chi, et al.
Published: (2024)

Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings
by: Zhang, Chi, et al.
Published: (2024)

Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoT
by: Narimani, Mohammadreza, et al.
Published: (2025)

Statistically Testing Training Data for Unwanted Error Patterns using Rule-Oriented Regression
by: Rass, Stefan, et al.
Published: (2025)

Spatial-ViLT: Enhancing Visual Spatial Reasoning through Multi-Task Learning
by: Islam, Chashi Mahiul, et al.
Published: (2025)

Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings
by: Zhang, Chi, et al.
Published: (2023)

Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data
by: Cribeiro-Ramallo, Jose, et al.
Published: (2025)

From data to concepts via wiring diagrams
by: Lo, Jason, et al.
Published: (2025)

Learning Neural Network Classifiers with Low Model Complexity
by: Jayadeva, et al.
Published: (2017)

Handling Out-of-Distribution Data: A Survey
by: Tamang, Lakpa, et al.
Published: (2025)

Wavelet-based temporal models of human activity for anomaly detection in smart robot-assisted environments
by: Fernandez-Carmona, Manuel, et al.
Published: (2020)

On Memory: A comparison of memory mechanisms in world models
by: Laird, Eli J., et al.
Published: (2025)

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures
by: Nogales, Miguel, et al.
Published: (2025)

Machine Learning-Driven Predictive Resource Management in Complex Science Workflows
by: Chowdhury, Tasnuva, et al.
Published: (2025)

A New Similarity Function for Spectral Clustering with Application to Plant Phenotypic Data
by: Ahuja, Kapil, et al.
Published: (2023)

BrainIB++: Leveraging Graph Neural Networks and Information Bottleneck for Functional Brain Biomarkers in Schizophrenia
by: Hu, Tianzheng, et al.
Published: (2025)

Queue up for takeoff: a transferable deep learning framework for flight delay prediction
by: Aghanya, Nnamdi Daniel, et al.
Published: (2025)

Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
by: Njor, Emil, et al.
Published: (2025)

FastAST: Accelerating Audio Spectrogram Transformer via Token Merging and Cross-Model Knowledge Distillation
by: Behera, Swarup Ranjan, et al.
Published: (2024)

On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
by: Martinez-Seras, Aitor, et al.
Published: (2024)

Conceptual Views of Neural Networks: A Framework for Neuro-Symbolic Analysis
by: Hirth, Johannes, et al.
Published: (2022)

Multi-Scale Graph Learning for Anti-Sparse Downscaling
by: Fan, Yingda, et al.
Published: (2025)

Informed deep hierarchical classification: a non-standard analysis inspired approach
by: Fiaschi, Lorenzo, et al.
Published: (2024)

Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
by: Lai, Guannan, et al.
Published: (2025)

UVLM: A Universal Vision-Language Model Loader for Reproducible Multimodal Benchmarking
by: Perez, Joan, et al.
Published: (2026)

OptiRoulette Optimizer: A New Stochastic Meta-Optimizer for up to 5.3x Faster Convergence
by: Mastromichalakis, Stamatis
Published: (2026)

Data Augmentation and Resolution Enhancement using GANs and Diffusion Models for Tree Segmentation
by: Ferreira, Alessandro dos Santos, et al.
Published: (2025)

Drawing Lines in Psychological Space: What K-means Clustering Reveals in Simulated and Real Psychometric Data
by: Pinto, Pedro Henrique Ramos, et al.
Published: (2026)

Lattice theory and algebraic models for deep convolutional learning based on mathematical morphology
by: Gustavo, et al.
Published: (2026)

CoxKAN: Kolmogorov-Arnold Networks for Interpretable, High-Performance Survival Analysis
by: Knottenbelt, William, et al.
Published: (2024)

Cascade Token Selection for Transformer Attention Acceleration
by: Thomas, Stephen J.
Published: (2026)

A Novel Method to Determine Total Oxidant Concentration Produced by Non-Thermal Plasma Based on Image Processing and Machine Learning
by: Sancak, Mirkan Emir, et al.
Published: (2025)

A Comparative Survey of PyTorch vs TensorFlow for Deep Learning: Usability, Performance, and Deployment Trade-offs
by: Alawi, Zakariya Ba
Published: (2025)

Gated Subspace Inference for Transformer Acceleration
by: Thomas, Stephen J.
Published: (2026)

TowerVision: Understanding and Improving Multilinguality in Vision-Language Models
by: Viveiros, André G., et al.
Published: (2025)