A Multidisciplinary Approach to Telegram Data Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Varbanov, Velizar, Kopanov, Kalin, Atanasova, Tatiana |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prior-Aligned Data Cleaning for Tabular Foundation Models
by: Berti-Equille, Laure
Published: (2026)
by: Berti-Equille, Laure
Published: (2026)
StepScorer: Accelerating Reinforcement Learning with Step-wise Scoring and Psychological Regret Modeling
by: Xu, Zhe
Published: (2026)
by: Xu, Zhe
Published: (2026)
ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
by: Poorna, Rajas, et al.
Published: (2026)
by: Poorna, Rajas, et al.
Published: (2026)
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)
by: Yousaf, Iqra
Published: (2024)
Inverting Cryptographic Hash Functions via Cube-and-Conquer
by: Zaikin, Oleg
Published: (2022)
by: Zaikin, Oleg
Published: (2022)
MathLedger: A Verifiable Learning Substrate with Ledger-Attested Feedback
by: Abdullah, Ismail Ahmad
Published: (2025)
by: Abdullah, Ismail Ahmad
Published: (2025)
Challenges of Heterogeneity in Big Data: A Comparative Study of Classification in Large-Scale Structured and Unstructured Domains
by: Eduardo, González Trigueros Jesús, et al.
Published: (2025)
by: Eduardo, González Trigueros Jesús, et al.
Published: (2025)
Exploring the Technology Landscape through Topic Modeling, Expert Involvement, and Reinforcement Learning
by: Nazari, Ali, et al.
Published: (2025)
by: Nazari, Ali, et al.
Published: (2025)
Emotion-Inspired Learning Signals (EILS): A Homeostatic Framework for Adaptive Autonomous Agents
by: Tiwari, Dhruv
Published: (2025)
by: Tiwari, Dhruv
Published: (2025)
Approaches to Semantic Textual Similarity in Slovak Language: From Algorithms to Transformers
by: Radosky, Lukas, et al.
Published: (2026)
by: Radosky, Lukas, et al.
Published: (2026)
PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents
by: Iscan, Mehmet
Published: (2026)
by: Iscan, Mehmet
Published: (2026)
Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning
by: Pather, Kaviraj, et al.
Published: (2025)
by: Pather, Kaviraj, et al.
Published: (2025)
FlowRL: Flow-Augmented Few-Shot Reinforcement Learning for Semi-Structured Sensor Data
by: Pivezhandi, Mohammad, et al.
Published: (2024)
by: Pivezhandi, Mohammad, et al.
Published: (2024)
Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
by: Perazzolo, Diego, et al.
Published: (2025)
by: Perazzolo, Diego, et al.
Published: (2025)
Novel Approaches to Artificial Intelligence Development Based on the Nearest Neighbor Method
by: Priezzhev, I. I., et al.
Published: (2025)
by: Priezzhev, I. I., et al.
Published: (2025)
When Interpretability Becomes a Liability: Adversarial Attacks on CBM Concept Layers
by: Sridhar, Aditya
Published: (2026)
by: Sridhar, Aditya
Published: (2026)
Vision-Guided Iterative Refinement for Frontend Code Generation
by: Sansford, Hannah, et al.
Published: (2026)
by: Sansford, Hannah, et al.
Published: (2026)
Foundational Requirements for Artificial General Intelligence: A Falsifiable Framework Based on Signal Prediction
by: Šprogar, Matej
Published: (2025)
by: Šprogar, Matej
Published: (2025)
Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
by: Chapman, James, et al.
Published: (2025)
by: Chapman, James, et al.
Published: (2025)
From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning
by: Tomashevskiy, Timofey
Published: (2026)
by: Tomashevskiy, Timofey
Published: (2026)
Predicting and improving test-time scaling laws via reward tail-guided search
by: Li, Muheng, et al.
Published: (2026)
by: Li, Muheng, et al.
Published: (2026)
Fractional Policy Gradients: Reinforcement Learning with Long-Term Memory
by: Pawar, Urvi, et al.
Published: (2025)
by: Pawar, Urvi, et al.
Published: (2025)
Evading Overlapping Community Detection via Proxy Node Injection
by: Loi, Dario, et al.
Published: (2025)
by: Loi, Dario, et al.
Published: (2025)
Evolving Programmatic Skill Networks
by: Shi, Haochen, et al.
Published: (2026)
by: Shi, Haochen, et al.
Published: (2026)
The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
by: Sairam, S, et al.
Published: (2025)
by: Sairam, S, et al.
Published: (2025)
Improving Industrial Injection Molding Processes with Explainable AI for Quality Classification
by: Rottenwalter, Georg, et al.
Published: (2025)
by: Rottenwalter, Georg, et al.
Published: (2025)
Advancements in synthetic data extraction for industrial injection molding
by: Rottenwalter, Georg, et al.
Published: (2025)
by: Rottenwalter, Georg, et al.
Published: (2025)
Predicting Future Actions of Reinforcement Learning Agents
by: Chung, Stephen, et al.
Published: (2024)
by: Chung, Stephen, et al.
Published: (2024)
Thinker: Learning to Think Fast and Slow
by: Chung, Stephen, et al.
Published: (2025)
by: Chung, Stephen, et al.
Published: (2025)
CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
by: Nishiyama, Daiki, et al.
Published: (2022)
by: Nishiyama, Daiki, et al.
Published: (2022)
Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
by: Smits, William
Published: (2026)
by: Smits, William
Published: (2026)
A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
by: Xian, Zeqiang, et al.
Published: (2026)
by: Xian, Zeqiang, et al.
Published: (2026)
RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
by: Barnard, Amanda S
Published: (2026)
by: Barnard, Amanda S
Published: (2026)
Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
by: Agarwal, Amit, et al.
Published: (2024)
by: Agarwal, Amit, et al.
Published: (2024)
PRACH Preamble Detection as a Multi-Class Classification Problem: A Machine Learning Approach Using SVM
by: Ferenc, F., et al.
Published: (2025)
by: Ferenc, F., et al.
Published: (2025)
Scattered Forest Search: Smarter Code Space Exploration with LLMs
by: Light, Jonathan, et al.
Published: (2024)
by: Light, Jonathan, et al.
Published: (2024)
OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques
by: Saini, Varij, et al.
Published: (2025)
by: Saini, Varij, et al.
Published: (2025)
CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models
by: Bömer, Thomas, et al.
Published: (2026)
by: Bömer, Thomas, et al.
Published: (2026)
Leveraging Social Media Data and Artificial Intelligence for Improving Earthquake Response Efforts
by: Kopanov, Kalin, et al.
Published: (2024)
by: Kopanov, Kalin, et al.
Published: (2024)
Are We Winning the Wrong Game? Revisiting Evaluation Practices for Long-Term Time Series Forecasting
by: Phungtua-eng, Thanapol, et al.
Published: (2026)
by: Phungtua-eng, Thanapol, et al.
Published: (2026)
Similar Items
-
Prior-Aligned Data Cleaning for Tabular Foundation Models
by: Berti-Equille, Laure
Published: (2026) -
StepScorer: Accelerating Reinforcement Learning with Step-wise Scoring and Psychological Regret Modeling
by: Xu, Zhe
Published: (2026) -
ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
by: Poorna, Rajas, et al.
Published: (2026) -
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024) -
Inverting Cryptographic Hash Functions via Cube-and-Conquer
by: Zaikin, Oleg
Published: (2022)