Computational Collective Intelligence

.- Collective Intelligence and Collective Decision-Making.
.- The Hive Mind in Silicon: Situating Large Language Models within Computational Collective Intelligence.
.- Measuring Fairness Metrics Robustness Through Collective Ranking Aggregation Under Controlled Bias Injections.
.- CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures.
.- Sentiment drift and bias of agent collectives.
.- Trajectory Separation for Scalable Credit Assignment in Cooperative Multi-Agent Reinforcement Learning.
.- Evaluating the Robustness of Homogeneous Multi-Agent PPO Algorithm Against Observation Perturbations in Cooperative Multi-Agent Tasks.
.- Formal Reasoning and Guidance Platform for Transparent Scaffolding for Multi-Agent Debate.
.- A Conjunctive-Disjunctive Aggregation Framework for Asymmetric Interval Numbers.
.- Epistemic Instrumental Convergence in Partially Observable Agents.
.- Quantum for Collective.
.- Dual-Quantum Vowel Recognition.
.- Exploring Hamiltonian Control of a Quantum Walk Environment via Reinforcement Learning: A Case Study on the Traveling Salesman Problem.
.- Volumetric Benchmarking of IQM-Spark: Parity-Preserving Quantum Volume and Compilation Overheads in Odra 5.
.- Autoencoder-Based Hybrid Quantum Classification of MNIST on ODRA 5.
.- Performance Analysis of the HHL Algorithm on the Odra 5 Quantum Computer.
.- Collective Intelligence in Deep Learning Techniques.
.- When Interpretable Parameters Fail to Explain: Evidence from the Rescorla–Wagner Model.
.- Sparse Neural Code Representations for Reinforcement Learning with Linear Action-Value Function Approximation.
.- A Systematic Explainability Framework for Hybrid Spatio-Temporal Models based on Integrated Gradients.
.- Prompt-guided Resource-aware Neural Architecture Search for TinyML Object Detection Models.
.- Benchmarking Deep Learning and Transformer-based Models for ECG Signal Imputation.
.- Influence of Recursive Grouping of Neuron Inputs on Contextual Neural Networks in Classification Tasks.
.- A Mahalanobis-Regularized Geometry-Aware Variational Autoencoder for Explainable Credit Card Fraud Detection.
.- Edge QuantNet: An Ultralight Quantized SE-ResNet Architecture for Leaf Disease Classification on Resource-Constrained Devices.
.- Natural Language Processing.
.- Unveiling the Valence–Dominance Ratio: Toward Recognizing Emotions in Tunisian Speech.
.- Study of Deepfake Audio Detection in Telephone Speech with Pretrained Self-Supervised Models.
.- When Silence Matters: How VAD-driven Whisper Architectures reshape Temporal Alignment in Low-Resource Multilingual ASR.
.- Personalized Alignment of Large Language Models.
.- LLM Compression with Jointly Optimizing Architectural and Quantization choices.
.- Collective Intelligence in Data Mining and Machine Learning.
.- Macroscopic Design of Swarms with Collective State Machines.
.- Reduction through Homogeneous Clustering with k-means++ Seeding.
.- A Multimodal BiLSTM Model for Predicting Learner Question Performance Using Facial and Tabular Data.
.- Interpretable Software Defect Prediction with Ensemble Models across Static and Process Metrics.
.- Surrogate Modeling for Error Estimation in Time-Series Regression with CatBoost.
.- A Novel Hybrid Ensemble Regression Framework for Residential Property Price Prediction in Athens Using Optimized Machine Learning Models.

• Erscheinungsdatum: 20.09.2026
• Autor/Autorin: Ngoc Thanh Nguyen
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 44.8 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 500 Seiten
• ISBN: 9783032368683
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.