Vor Ort
Merkzettel Warenkorb
  • Produktbild: Web Information Systems Engineering – WISE 2024
  • Produktbild: Web Information Systems Engineering – WISE 2024
Band 15437 - 17%

Web Information Systems Engineering – WISE 2024 25th International Conference, Doha, Qatar, December 2–5, 2024, Proceedings, Part II

Aus der Reihe Lecture Notes in Computer Science
17% sparen

72,99 € UVP 87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.12.2024

Herausgeber

Mahmoud Barhamgi + weitere

Verlag

Springer Singapore

Seitenzahl

486

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9605-66-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.12.2024

Herausgeber

Verlag

Springer Singapore

Seitenzahl

486

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

762 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9605-66-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Web Information Systems Engineering – WISE 2024
  • Produktbild: Web Information Systems Engineering – WISE 2024

  • .- Social Media and News Analysis.

    .- Misinformation in Reels, Influence of Contextual Superimposed Texts in Short Videos.

    .- What Did The People Say? Evaluating the Effect of Comment Summarisation Tags on Perceived News Credibility Using Qualitative Approach.

    .- Are fact checkers effective in the post truth world? Assessing impact of fact checkers cross medium and platforms.

    .- Target-Specific Hate Trend Prediction on Social Network.

    .- Characterizing Collective Attention on Online Chats: A Three-Pronged Approach.

    .- The Influence of Social Networking Usage Experience and Activity on Preferences of Explainable Artificial Intelligence (XAI) Representation Methods in a Hate Speech Detection System.

    .- Language Model-Based Approach for Multiclass Cyberbullying Detection.

    .- MeTAN: Metaphoric Temporal Attention Network for depression detection on Social Media.

    .- EBUD: Evolving Disaster Burst Detection over Social Streams.

    .- MAPX: An explainable model-agnostic framework for the detection of false information on social media networks.

    .- Graph Machine Learning on Web and Social.

    .- Knowledge Graph Relation Patterns Networks for Recommendations.

    .- Robust Graph Learning against Camouflaged Malicious Actors.

    .- Label-enhanced Cross-modal Hashing with Dual-semantic Learning.

    .- Towards Building a Lightweight and Powerful Computation Graph for Scalable GNN.

    .- Skill Vector Representation Learning for Collaborative Team Recommendation:A Comparative Study.

    .- Learning to Ask about Text Content in an Image with Fine-Grained Features.

    .- Trustworthy Machine Learning.

    .- SARA: A Sparsity-Aware Efficient Oblivious Aggregation Service for Federated Matrix Factorization.

    .- VizardFL: Enabling Private Participation in Federated Learning Systems.

    .- Deceptive Waves: Embedding Malicious Backdoors in PPG Authentication.

    .- Exposing the Limitations of Machine Learning for Malware Detection Under Concept Drift.

    .- Intellectual Property Protection of Diffusion Models via the Watermark Diffusion Process.

    .- Evaluating Contrastive and Non-Contrastive Explanations for Language Models: A Study on Faithfulness and Plausibility.

    .- Model Extraction Attacks on Privacy-Preserving Deep Learning based Medical Services.

    .- On the Alignment of Group Fairness with Attribute Privacy.

    .- Graph Data Management.

    .- RPQBench: A Benchmark for Regular Path Queries on Graph Data.

    .- Two Birds One Stone: Dual-Role Path Based Subgraph Matching Using Partial Evaluation.

    .- KRAFT: Leveraging Knowlegde Graphs for Interpretable Feature Generation.

    .- Neuralizing Graph Edit Distance Computation with Fine-Grained Matching Cost Prediction.

    .- Scalable Optimization of Graph Pattern Queries Using Summary Graphs.

    .- Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations.

    .- G-ETI: Incorporating Graph Information for Improved Unsupervised Event Type Induction.

    .- Estimation of Graph Features Based on Random Walks Using Neighbors' Properties.

    .- SemMatch: Semantics-Aware Matching for Causal Inference over Knowledge Graphs.