#Data Science
Latest news articles tagged with "Data Science". Follow the timeline of events, related topics, and entities.
Articles (30)
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🇺🇸 Database Querying under Missing Values Governed by Missingness Mechanisms
[USA]
arXiv:2604.06520v1 Announce Type: cross Abstract: We address the problems of giving a semantics to- and doing query answering (QA) on a relational database (RDB) that has missing values (MVs). The ca...
Related: #Database Theory, #Artificial Intelligence -
🇺🇸 LLM-based Schema-Guided Extraction and Validation of Missing-Person Intelligence from Heterogeneous Data Sources
[USA]
arXiv:2604.06571v1 Announce Type: cross Abstract: Missing-person and child-safety investigations rely on heterogeneous case documents, including structured forms, bulletin-style posters, and narrativ...
Related: #Artificial Intelligence, #Law Enforcement Technology -
🇺🇸 A foundation model for electrodermal activity data
[USA]
arXiv:2603.16878v1 Announce Type: cross Abstract: Foundation models have recently extended beyond natural language and vision to timeseries domains, including physiological signals. However, progress...
Related: #Healthcare Technology -
🇺🇸 A Hybrid Tsallis-Polarization Impurity Measure for Decision Trees: Theoretical Foundations and Empirical Evaluation
[USA]
arXiv:2603.13241v1 Announce Type: cross Abstract: We introduce the Integrated Tsallis Combination (ITC), a hybrid impurity measure for decision tree learning that combines normalized Tsallis entropy ...
Related: #Machine Learning -
🇺🇸 Clustering Astronomical Orbital Synthetic Data Using Advanced Feature Extraction and Dimensionality Reduction Techniques
[USA]
arXiv:2603.13177v1 Announce Type: cross Abstract: The dynamics of Saturn's satellite system offer a rich framework for studying orbital stability and resonance interactions. Traditional methods for a...
Related: #Astronomy -
🇺🇸 The Latent Color Subspace: Emergent Order in High-Dimensional Chaos
[USA]
arXiv:2603.12261v1 Announce Type: cross Abstract: Text-to-image generation models have advanced rapidly, yet achieving fine-grained control over generated images remains difficult, largely due to lim...
Related: #Chaos Theory -
🇺🇸 What We Don't C: Manifold Disentanglement for Structured Discovery
[USA]
arXiv:2511.09433v2 Announce Type: replace Abstract: Accessing information in learned representations is critical for annotation, discovery, and data filtering in disciplines where high-dimensional da...
Related: #Machine Learning -
🇺🇸 A New Modeling to Feature Selection Based on the Fuzzy Rough Set Theory in Normal and Optimistic States on Hybrid Information Systems
[USA]
arXiv:2603.08900v1 Announce Type: cross Abstract: Considering the high volume, wide variety, and rapid speed of data generation, investigating feature selection methods for big data presents various ...
Related: #Machine Learning -
🇺🇸 Deep Tabular Research via Continual Experience-Driven Execution
[USA]
arXiv:2603.09151v1 Announce Type: new Abstract: Large language models often struggle with complex long-horizon analytical tasks over unstructured tables, which typically feature hierarchical and bidi...
Related: #Machine Learning -
🇺🇸 Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation
[USA]
arXiv:2603.08957v1 Announce Type: cross Abstract: A \emph{tensor-relational} computation is a relational computation where individual tuples carry vectors, matrices, or higher-dimensional arrays. An ...
Related: #Computational Efficiency -
🇺🇸 TML-Bench: Benchmark for Data Science Agents on Tabular ML Tasks
[USA]
arXiv:2603.05764v1 Announce Type: cross Abstract: Autonomous coding agents can produce strong tabular baselines quickly on Kaggle-style tasks. Practical value depends on end-to-end correctness and re...
Related: #Benchmarking -
🇺🇸 Rethinking Representativeness and Diversity in Dynamic Data Selection
[USA]
arXiv:2603.04981v1 Announce Type: new Abstract: Dynamic data selection accelerates training by sampling a changing subset of the dataset while preserving accuracy. We rethink two core notions underly...
Related: #Inclusivity -
🇺🇸 Uncertainty-Calibrated Spatiotemporal Field Diffusion with Sparse Supervision
[USA]
arXiv:2603.04431v1 Announce Type: cross Abstract: Physical fields are typically observed only at sparse, time-varying sensor locations, making forecasting and reconstruction ill-posed and uncertainty...
Related: #Machine Learning -
🇺🇸 Generative Data Transformation: From Mixed to Unified Data
[USA]
arXiv:2602.22743v1 Announce Type: new Abstract: Recommendation model performance is intrinsically tied to the quality, volume, and relevance of their training data. To address common challenges like ...
Related: #Artificial Intelligence, #Recommendation Systems -
🇺🇸 ConceptRM: The Quest to Mitigate Alert Fatigue through Consensus-Based Purity-Driven Data Cleaning for Reflection Modelling
[USA]
arXiv:2602.20166v1 Announce Type: cross Abstract: In many applications involving intelligent agents, the overwhelming volume of alerts (mostly false) generated by the agents may desensitize users and...
Related: #Artificial Intelligence, #Human-Computer Interaction -
🇺🇸 DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries
[USA]
arXiv:2509.21825v4 Announce Type: replace Abstract: While large language models (LLMs) have shown promise in automating data science, existing agents often struggle with the complexity of real-world ...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 Uncertainty-Aware Delivery Delay Duration Prediction via Multi-Task Deep Learning
[USA]
arXiv:2602.20271v1 Announce Type: cross Abstract: Accurate delivery delay prediction is critical for maintaining operational efficiency and customer satisfaction across modern supply chains. Yet the ...
Related: #Machine Learning, #Supply Chain Management -
🇺🇸 TA-KAND: Two-stage Attention Triple Enhancement and U-KAN based Diffusion For Few-shot Knowledge Graph Completion
[USA]
arXiv:2512.12182v2 Announce Type: replace Abstract: Knowledge Graphs have become fundamental infrastructure for applications such as intelligent question answering and recommender systems due to thei...
Related: #Knowledge Graphs, #Artificial Intelligence, #Machine Learning -
🇺🇸 Drift-Aware Variational Autoencoder-based Anomaly Detection with Two-level Ensembling
[USA]
arXiv:2602.12976v1 Announce Type: cross Abstract: In today's digital world, the generation of vast amounts of streaming data in various domains has become ubiquitous. However, many of these data are ...
Related: #Machine Learning, #Anomaly Detection -
🇺🇸 Gallup Will No Longer Track Presidential Approval Ratings
[USA]
The monthly poll has been used to measure presidential performance for almost nine decades.
Related: #Politics, #Media -
🇺🇸 From Out-of-Distribution Detection to Hallucination Detection: A Geometric View
[USA]
arXiv:2602.07253v1 Announce Type: new Abstract: Detecting hallucinations in large language models is a critical open problem with significant implications for safety and reliability. While existing h...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 Exploring SAIG Methods for an Objective Evaluation of XAI
[USA]
arXiv:2602.08715v1 Announce Type: new Abstract: The evaluation of eXplainable Artificial Intelligence (XAI) methods is a rapidly growing field, characterized by a wide variety of approaches. This div...
Related: #Artificial Intelligence, #Technology Research -
🇺🇸 Multimodal Enhancement of Sequential Recommendation
[USA]
arXiv:2602.07207v1 Announce Type: cross Abstract: We propose a novel recommender framework, MuSTRec (Multimodal and Sequential Transformer-based Recommendation), that unifies multimodal and sequentia...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models
[USA]
arXiv:2602.07026v1 Announce Type: cross Abstract: Despite the success of multimodal contrastive learning in aligning visual and linguistic representations, a persistent geometric anomaly, the Modalit...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 Reinforcement Inference: Leveraging Uncertainty for Self-Correcting Language Model Reasoning
[USA]
arXiv:2602.08520v1 Announce Type: new Abstract: Modern large language models (LLMs) are often evaluated and deployed under a \emph{one-shot, greedy} inference protocol, especially in professional set...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation
[USA]
arXiv:2602.08815v1 Announce Type: new Abstract: Temporal Knowledge Graph (TKG) reasoning seeks to predict future missing facts from historical evidence. While diffusion models (DM) have recently gain...
Related: #Artificial Intelligence, #Machine Learning -
🇺🇸 MTS-CSNet: Multiscale Tensor Factorization for Deep Compressive Sensing on RGB Images
[USA]
arXiv:2602.07056v1 Announce Type: cross Abstract: Deep learning based compressive sensing (CS) methods typically learn sampling operators using convolutional or block wise fully connected layers, whi...
Related: #Artificial Intelligence, #Signal Processing -
🇺🇸 On Randomness in Agentic Evals
[USA]
arXiv:2602.07150v1 Announce Type: cross Abstract: Agentic systems are evaluated on benchmarks where agents interact with environments to solve tasks. Most papers report a pass@1 score computed from a...
Related: #Artificial Intelligence, #Statistics -
🇺🇸 Landscaper: Understanding Loss Landscapes Through Multi-Dimensional Topological Analysis
[USA]
arXiv:2602.07135v1 Announce Type: cross Abstract: Loss landscapes are a powerful tool for understanding neural network optimization and generalization, yet traditional low-dimensional analyses often ...
Related: #Machine Learning, #Topology -
🇺🇸 Towards Better Evolution Modeling for Temporal Knowledge Graphs
[USA]
arXiv:2602.08353v1 Announce Type: new Abstract: Temporal knowledge graphs (TKGs) structurally preserve evolving human knowledge. Recent research has focused on designing models to learn the evolution...
Related: #Artificial Intelligence, #Machine Learning
Key Entities (9)
- Large language model (2 news)
- Knowledge representation and reasoning (1 news)
- Bayesian network (1 news)
- Null (1 news)
- Supply chain optimization (1 news)
- Supply chain (1 news)
- Artificial intelligence (1 news)
- Data cleansing (1 news)
- Tel Aviv Stock Exchange (1 news)
About the topic: Data Science
The topic "Data Science" aggregates 30+ news articles from various countries.