Buch, Englisch, 485 Seiten, Format (B × H): 155 mm x 235 mm
18th International Conference, ICCCI 2026, Heraklion, Crete, Greece, September 23–25, 2026, Proceedings, Part I
Buch, Englisch, 485 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-36867-6
Verlag: Springer
This two-volume set, LNCS 16908-16909, constitutes the refereed proceedings of the 18th International Conference on Computational Collective Intelligence, ICCCI 2026, held in Heraklion, Crete, Greece, during September 23–25, 2026.
The 66 full papers included in these volumes were carefully reviewed and selected from 297 submissions. The papers cover the following topical sections:
Part I: Collective Intelligence and Collective Decision-Making; Quantum for Collective; Collective Intelligence in Deep Learning Techniques; Natural Language Processing; and Collective Intelligence in Data Mining and Machine Learning;
Part II: Social Networks and Intelligent Systems; Cybersecurity and Internet of Things; Computational Intelligence for Digital Content Understanding; Computational Intelligence in Medical Applications; and Knowledge Engineering and Application for Industry 4.0.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
Weitere Infos & Material
.- 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.
