Deep Learning Theory and Applications

7th International Conference, DeLTA 2026, Porto, Portugal, July 16–17, 2026, Proceedings
Erscheinungsjahr 2027
ISBN: 978-3-032-47040-9
Verlag: Springer

Buch, Englisch, 641 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

This book constitutes revised selected papers from the 7th International Conference on Deep Learning Theory and Applications, DeLTA 2026, which took place in Porto, Portugal, during July 16-17, 2026.

The 36 papers included in these proceedings were carefully reviewed and selected from 51 submissions. They were organized in topical sections as follows:
Models and Algorithms; Machine Learning; Computer Vision Applications; Natural Language Understanding; Special Session on Kolmogorov-Arnold Networks (KANs): Advances in Design, Implementations and Applications.

Zielgruppe

Research

Autoren/Hrsg.

Hadjali, Allel

Maiorana, Emanuele

Sansone, Carlo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Natürliche Sprachen & Maschinelle Übersetzung

Inhaltsverzeichnis

.- Models and Algorithms.
.- A Decision Pipeline for RAG Architecture Selection in Medical Education: Empirical Analysis and Cost-Performance Guidelines.
.- Fairness-Aware Generative Adversarial Imputation for Longitudinal Disease Subtype Discovery in Parkinson’s Disease.
.- DeLIVeR: Decomposed Learning for Information-Grounded Veracity Recognition via Reinforced Knowledge Graph Exploration.
.- Long-Document Prediction under Label Scarcity: Comparing Transformer Fine-Tuning, Parameter-Efficient Tuning, and Classical Baselines.
.- When Alignment Feels Artificial: Evaluating Preference-Based Fine-Tuning for Perceived Humanness.
.- An Enhanced Machine Learning Approach for Cryptocurrency Price Prediction Using Hybrid Metaheuristic Optimizers.
.- Machine Learning.
.- Parameter-Efficient Adaptation of Multilingual ASR Models to Swiss German Dialects.
.- Rethinking Model Evaluation for Urban PM2.5 Classification: Imbalance, Temporal Validation and Computational Cost.
.- Strategic Absenteeism Profiling: Integrating Fuzzy Linguistic RFM and Explainable AI in People Analytics.
.- Sequential Recommendation with Multi-View Diffusion.
.- Trustworthy Multimodal XAI in Customs: A Segmentation-Based Study.
.- Benchmarking AI Models for Early Detection of Elevated Load States from Multimodal Wearable Data toward Artillery Readiness Assessment.
.- Robust Policy Evaluation and Adaptive Deployment in Cooperative Multi-Agent Reinforcement Learning under Non-Stationary Noise.
.- Machine Learning Utilization for Multimodal Respiration Tracking and Endotracheal Tube Monitoring.
.- AI Framework for Role-Aware Predictive Decision Support in Artillery Operations Grounded in Multimodal Biomonitoring.
.- Multi-Lens Triple Extraction with Composed Loss.
.- Horizon-Adaptive Differenced Switching.
.- Enhancing GAN-Based Video Summarization via Diffusion Score Refinement.
.- Computer Vision Applications.
.- PointConViT: An Adaptable Convolution-Transformer Model for High-rate 3D Detection in Autonomous Robot.
.- Task-Aware Detection of Elongated Objects in Wide-Field Industrial Imagery.
.- Image-Based Prediction of Apple Harvest Timing.
.- DT-KAD: Dual-Teacher Knowledge & Attention Distillation for Efficient Breast Cancer Diagnosis Using Ultrasound Imaging Data.
.- Assessing Cross-Task Consistency for Adversarial Robustness in Visual Perception.
.- A Priori Capacity Estimation for Encoder-Decoder Architectures in Unpaired CAD-to-SEM Image Translation.
.- Spatiotemporal Anomaly Detection in Surveillance Videos Using CNN–TCN Fusion with Multiple Instance Learning.
.- Camera-to-Subject Distance: An Overlooked Quality Component in Mobile Face Biometrics.
.- Infrared as a Fallback: A Multimodal Defense Approach against Adversarial Attacks on RGB Object Detection.
.- Structure-Aware Line Order Estimation for Classical Japanese Documents.
.- Natural Language Understanding.
.- Selective Invariance and Uncertainty under Evidence-Presentation Shift: Toward Robust Multi-Hop Reasoning for Verification and Adversarial Evidence Settings .
.- Simple Token-Efficient Vision-Language Model for Case-Level Pathology Synoptic Report Generation.
.- Understanding the Voice of the Customer in the Airline Industry: A Comparative Study of Traditional ML, Fine-Tuned BERT, and Fine-Tuned GPT-4o-Mini for Supervised Topic Classification.
.- Do Deployment Constraints Make LLMs Hallucinate Citations? An Empirical Study across Four Models and Five Prompting Regimes.
.- Special Session on Kolmogorov-Arnold Networks (KANs): Advances in Design, Implementations and Applications.
.- Time-Series Forecasting with NBEATS and TimeKAN Models Using KAN Variants.
.- KANGuard: Residual Backdoor Risk Validation for Machine Unlearning Using Kolmogorov–Arnold Networks.
.- Improving Kolmogorov-Arnold Networks Using Nature-Inspired Optimization Metaheuristics.