Computer Science

This paper examines how GNNs enhance defenses against cyber attacks throughout their life cycle.

New methods improve image editing speed and quality using smaller models.

This framework helps unpack hidden aspects of large language models for better insight.

New methods improve hyperparameter tuning efficiency in large neural networks.

MA-VAE enhances detection of anomalies in automotive powertrain data.

DocFinQA improves financial analysis by using long documents for better insights.

Exploring the use of LLMs in predicting health outcomes from wearable data.

A new model uses ECG data to predict atrial fibrillation risk effectively.

Examining the relationship between transformers and RNNs in language processing.

This framework helps unpack hidden aspects of large language models for better insight.

Muffin enhances emotional support chat systems by reducing unhelpful responses.

A new method enhances document creation across various formats for clearer communication.

New dataset aims to improve machine understanding of cooking recipes.

DocFinQA improves financial analysis by using long documents for better insights.

A new framework enhances structured prediction tasks in NLP using prompts and inference.

Exploring the use of LLMs in predicting health outcomes from wearable data.

A study on effective honeypot integration in production systems for improved cybersecurity.

This article discusses expected Shapley-like scores for evaluating contributions in probabilistic databases.

This paper examines the decoding challenges of zero-rate codes in error correction.

SARRIGUREN improves SAT solving for dense clause instances with a unique counting approach.

Examining proof systems, their methods, and their connection to satisfiability solving.

New methods improve efficiency in matrix updates and algorithms.

An exploration of efficient higher-order functionals and their implications in computing.

Examining how pigeonhole principles and Ramsey theory shape search problems in computer science.

Study on recognizing drivers through their unique driving styles using GPS signals.

New methods improve adsorption energy prediction for catalysts using machine learning.

Quantum computing shows promise in improving Metal-Organic Frameworks for carbon capture.

A fresh method for more accurate credit risk estimation and management.

MatSciRE streamlines data extraction from material science articles to aid battery research.

A new model predicts material behavior efficiently using machine learning techniques.

Exploring methods to make AI in finance more understandable and trustworthy.

A novel approach guarantees mass conservation in fluid dynamics models.

Exploring methods to study overlapping curves in geometry and algebra.

New techniques improve diameter calculations for unit-disk graphs, aiding efficient network analysis.

SurfaceNets improves efficiency in visualizing complex data for medical and biological applications.

Recent advancements improve speed and accuracy in measuring curve differences.

A new method enhances quadrilateral mesh generation with integrable frame fields.

This article discusses how to find the smallest round area covering points in a polygon.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

Coresets enable efficient computation in machine learning while maintaining accuracy.

How popularity shapes decisions in business and politics.

A novel approach to stabilize player strategies in congestion games with limited information.

This article proposes Decent-BRM to support solo miners over mining pools.

Discover the vital role receivers play in effective communication dynamics.

Exploring methods for fair resource and task distribution based on preferences.

Learn how to design effective trade mechanisms for small market participants.

Analyzing decision-making and fairness through the lens of the Ultimatum Game.

Creating a balanced platform for organizations to share and benefit from data insights.

New methods improve image editing speed and quality using smaller models.

New techniques improve anomaly detection in visual inspections using machine learning.

A new method for efficient segmentation of large 3D environments.

This article discusses an embedded system for effective planogram compliance in stores.

Using diffusion models to improve detection of adversarial examples in machine learning.

Motion2VecSets improves 3D shape reconstruction from point cloud sequences.

An overview of mapping algorithms transforming UAV capabilities in various applications.

ModaVerse simplifies how we transform and interpret various types of data.

Exploring the link between language learning and programming education.

Analyzing the different perspectives on AI threats to humanity.

This article examines fairness issues in AI-based mobile app reviews.

Analyzing social media sentiment reveals public views on new technologies.

Analyzing how generative AI is reported in global news from 2018 to 2023.

Efforts to create a quality measure for research data and software.

Evaluating the impact of AI in replacing human participants for research.

A new dataset and library aim to personalize educational experiences through AI.

This paper examines how GNNs enhance defenses against cyber attacks throughout their life cycle.

Examining the link between circuit complexity and black holes reveals intriguing connections.

A study on effective honeypot integration in production systems for improved cybersecurity.

Using diffusion models to improve detection of adversarial examples in machine learning.

Learn how secure memory erasure protocols can protect compromised devices.

A study on the effectiveness of binary-level CFI against source-level methods.

Research highlights the impact of smoothness on adversarial attacks in image generation.

A methodical approach to privacy code reviews for compliant software.

This article discusses new findings in the Merlin-Arthur communication model and its applications.

New algorithms enhance clustering by ensuring group separation and minimum sizes.

Exploring the complexities of online matroid intersection and its applications.

This study examines ear anonymity and its implications for directed graphs.

Exploring the dynamics and strategies of Rabin games in decision-making systems.

A look at algorithms for maintaining minimum cuts in changing graphs.

Research focuses on optimizing graph connections through terminals and Steiner nodes.

SARRIGUREN improves SAT solving for dense clause instances with a unique counting approach.

BOD simplifies data analysis by involving users in ranking important variables.

This article discusses expected Shapley-like scores for evaluating contributions in probabilistic databases.

Examining the impact of text reuse in historical and literary studies.

A new system aims to improve pattern detection in large log databases.

A guide to choosing billboard slots that maximize advertising impact.

A new system improves schema matching accuracy using generative tags and advanced features.

This study presents methods to reduce regret in billboard advertising slot allocation.

A system to streamline data collection on superconductors for improved research accuracy.

A detailed dataset combining Mozart's sonatas with piano performances and expert annotations.

Efforts to create a quality measure for research data and software.

A study of public sentiment on Reddit following the October 2023 Hamas attack.

Enhancing scientific data documentation is vital for fair ML practices.

This study enhances case law research through combined topic modeling and citation analysis.

Explores the connection between academic citations and scientific disruption.

Enhancing knowledge bases using language models and textual entailment for accuracy.

A look into how citation models can improve understanding of research impact.

Exploring strategies in the Cops and Robbers game with 1-planar graphs.

This work presents methods for generating trees to model graphs effectively.

This article studies maximal cliques across various random network models.

A look at hypergraphs and their significance in analyzing complex connections.

Exploring methods to improve search efficiency in trees with varying node costs.

Examining the complexities of reconfigurable routing in modern data center networks.

A study on point arrangements and their implications in combinatorics and group theory.

This article examines the connections in friends-and-strangers graphs and their implications.

Innovative approach uses driving data while protecting privacy.

A framework for analyzing and repairing faults in multi-agent systems.

This survey discusses making AI models more efficient and sustainable.

A method to improve efficiency in Mixture of Experts models.

A new framework enhances memory use in large-scale deep neural networks.

Loimos simulates disease spread in communities for better outbreak management.

A new co-scheduling algorithm enhances resource management in high-performance computing systems.

A new algorithm enhances communication speed in high-performance computing.

Quantum computing shows promise in improving Metal-Organic Frameworks for carbon capture.

A hybrid algorithm merges classical and quantum computing to advance railway dispatching efficiency.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

Exploring efficient methods to tackle complex optimization problems using tensor networks.

A guide to crafting clear and effective academic papers.

Research explores a method to form complex shapes with simple tiles.

Discover how quantum tools change music creation and performance.

A new method leveraging photonics for efficient deep learning.

Directed languages play a crucial role in computer science and language theory.

A look into string constraints and their importance in software systems.

Exploring the dynamics and strategies of Rabin games in decision-making systems.

Exploring verification challenges and solutions for concurrent programs in weak memory models.

This article analyzes succinctness in safety and cosafety languages using Linear Temporal Logic.

Discover how dependent variables can streamline reactive synthesis processes.

A look into Parametric Timed Games and their applications in real-time systems.

New methods improve the safety verification of Bayesian Neural Networks against attacks.

A method for compressing volumetric data while maintaining quality using neural networks.

A method for breaking down 3D scenes into meaningful parts.

This dataset advances evaluation methods for realistic 3D object rendering.

A model creates realistic 3D shapes from various inputs rapidly.

GUISS tool aids robotic explorers on icy moons by simulating surfaces.

New method enables realistic 3D rendering from regular photos.

A new model enhances community search by integrating multi-dimensional edge attributes.

A look at how art and technology merge to create lifelike visuals.

This paper discusses improving energy efficiency in devices using harvested power.

Exploring the impact of hardware accelerators on Large Language Models.

A new framework enhances GPU performance for deep learning tasks.

A new method improves efficiency and design quality in logic synthesis using machine learning.

A low-power op-amp design for improved biomedical applications.

Learn how CNM and CIM optimize data handling for machine learning.

A look at advancements in THz communication technology for IoT.

Learn how low-bit accumulators enhance DNN performance without sacrificing accuracy.

Exploring the link between language learning and programming education.

Examining the trade-offs in human-AI interactions and their societal impacts.

Research shows users prefer single-agent systems for better interaction.

This work studies how second opinions influence AI use in decision-making.

A new app tests vibration sensitivity, offering a reliable alternative to traditional methods.

Group admins face challenges managing content on WhatsApp, impacting group dynamics.

A new approach to analyze privacy policies using crowdsourcing and active learning.

A look into how people perceive cause and effect in everyday life.

Learn how to improve sales through better understanding of consumer behavior.

A new approach to human-centric smart factories through the SemIoE ontology.

AI techniques are transforming how researchers conduct literature reviews.

A new model helps enhance recommendations by addressing noisy user feedback.

This study focuses on enhancing retrieval-augmented generation methods for Brazilian Portuguese.

This study uses social media data to track gun violence in Brazil.

CG4CTR transforms online advertising by focusing on user preferences for better engagement.

This article discusses methods to recover lost information in hypergraphs from simpler graph representations.

DeepJSCC-MIMO offers improved methods for fast image transmission over wireless networks.

A look into new methods for efficient data analysis.

An overview of trace codes and their significance in secure communication systems.

Exploring Markov mimics and their role in stochastic processes.

Exploring patch-based methods for enhancing degraded images.

Explore the link between entropy and log-concave random variables.

Research reveals simplicity bias impacts predictions in random logistic maps.

This paper examines the decoding challenges of zero-rate codes in error correction.

A method for calculating probabilities in systems with uncertain timing of observations.

Exploring the boundaries of choiceless computation with hypercubes and preorders.

A look into provability and proof techniques in logic systems.

This article discusses a new sequent calculus for Strong L intuitionistic logic.

A look into string constraints and their importance in software systems.

A study on how actions impact knowledge over time through logical frameworks.

Exploring the dynamics and strategies of Rabin games in decision-making systems.

A look into initial semantics and its role in programming languages with variables.

This study reveals key factors influencing neural network training and performance.

Learn how machine learning improves predictions of water pH levels.

This paper examines how GNNs enhance defenses against cyber attacks throughout their life cycle.

New methods improve image editing speed and quality using smaller models.

This framework helps unpack hidden aspects of large language models for better insight.

New methods improve hyperparameter tuning efficiency in large neural networks.

Innovative approach uses driving data while protecting privacy.

MA-VAE enhances detection of anomalies in automotive powertrain data.

A framework for analyzing complex data using graph structures.

Learn how Chisholm approximants aid in estimating functions with two variables.

A novel approach improves wave simulation in irregular landscapes for better predictions.

New algorithm improves analysis of complex datasets for researchers.

Learn how long memory influences predictions in various fields.

A user-friendly library for tensor simulations in physics.

A practical guide to the QuadratiK package for spherical data analysis.

A look at numerical computation and its applications in various fields.

Learn how controllability backbone aids in managing networked agents effectively.

Examining the efficiency and fairness in real-time vehicle task assignment.

A new method to improve decision-making in multi-agent environments.

Learn how Distributed Collective Processes enhance teamwork among smart devices.

Exploring DiSC-UCB algorithm for effective action selection in uncertain environments.

Exploring how social identity shapes choices in AI agents for urban transportation.

Analyzing decision-making and fairness through the lens of the Ultimatum Game.

Robots can work better in teams by sharing their abilities.

A new method improves image compression by focusing on frequency bands.

Vlogger simplifies video blogging, making it quicker and easier for creators.

Examining energy use and impact of video streaming on the environment.

A unified approach to assess fish feeding using audio and video data.

Discover how AI is changing video creation and streaming.

A dataset tailored for testing video quality in conferencing situations.

Researchers develop a framework for better video and text understanding.

A new method enhances audio-visual segmentation without detailed labels.

A new system using Generative AI enhances data transmission efficiency and security.

Exploring the collaboration between mobile devices and edge servers for smarter AI assistants.

New routing techniques promise faster satellite internet connections worldwide.

A new system focuses on key objects to enhance vehicle communication and safety.

This study investigates TCP's effectiveness for low-priority data flows in cloud systems.

Exploring the potential of upper mid-band frequencies for cellular networks.

Learn how Virtual WANs can enhance connectivity for businesses.

A new algorithm enhances communication speed in high-performance computing.

This paper examines how GNNs enhance defenses against cyber attacks throughout their life cycle.

A new method combines LLMs and genetic programming to enhance code generation.

A new method improves evolutionary algorithms for complex optimization problems.

Discover how the brain predicts outcomes and manages uncertainties in decision-making.

New algorithm improves crystal structure prediction using multi-objective strategies.

Assessing how prepared drivers are in conditionally automated cars.

Improved forecasting methods enhance power management and reliability.

Study reveals strong patterns in depthwise-separable CNNs linked to biological vision.

Innovative techniques enhance analysis of stochastic differential equations and their uncertainty.

Exploring mathematical modeling for understanding systems across different scales.

New methods enhance simulations of multiscale systems with improved accuracy and stability.

A novel approach for addressing elliptic PDEs with irregular boundaries.

A new method transforms how we study evolving surfaces.

A new approach to stability analysis using reproducing kernel spaces.

This study examines how sound waves scatter off complex fractal shapes.

Innovative methods improve predictions of wave interactions with materials.

This paper discusses improving energy efficiency in devices using harvested power.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

A new tool evaluates Syzbot's ability to find Linux kernel bugs.

Learn how to enhance AI performance using GPU remoting and effective networking.

A new approach streamlines page table management in NUMA systems.

A new system enhances performance and reduces delays in medical AI applications.

LLMs are set to improve privacy and functionality on mobile devices.

Introducing a secure yet efficient method for managing private data.

A clear overview of work systems, their components, and management challenges.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

Researchers create digital copies of animals for ethical and efficient studies.

Discover how DNA could change the future of data storage.

Learn how to apply energy-saving practices to web development.

Learn how Virtual WANs can enhance connectivity for businesses.

A new algorithm enhances communication speed in high-performance computing.

Learn how to analyze computer system performance using hierarchical methods.

Exploring Age of Information and queuing systems for real-time updates.

A new system reduces latency in Mixture-of-Experts models while managing memory costs.

This paper analyzes the behavior of deadline misses in soft real-time systems.

New methods streamline PageRank updates as networks change.

Introducing a language to enhance the security of confidential computing in the cloud.

RichWasm provides a solution for safe memory sharing between different programming languages.

A look into initial semantics and its role in programming languages with variables.

A look at combining behavior trees with Lingua Franca for improved automation.

Exploring verification challenges and solutions for concurrent programs in weak memory models.

A look at how SAM improves program execution with session types.

A look into tools for verifying optimized software through scheduling languages and deductive verification.

Learn how Distributed Collective Processes enhance teamwork among smart devices.

A new model enhances how robots learn from their environments.

BARTR provides an objective way to assess arm nonuse for improved stroke rehabilitation.

An overview of mapping algorithms transforming UAV capabilities in various applications.

A new algorithm enhances sampling-based control methods for better performance.

Robots are learning to manipulate objects more like humans, enhancing their utility in various industries.

Innovative robotic systems improve efficiency and safety in meat processing plants.

A novel method enhances robot task planning, focusing on cooking efficiency and accuracy.

New methods improve safety in self-driving cars through better interaction modeling.

Exploring how social connections can reduce polarization and enhance cooperation.

MetaHate aims to tackle hate speech with a comprehensive dataset for research.

This method enhances our understanding of network communities through Edge Random Walk Centrality.

This article discusses methods to recover lost information in hypergraphs from simpler graph representations.

A study of public sentiment on Reddit following the October 2023 Hamas attack.

A new method to monitor and predict the spread of online rumors.

Examining how social media fuels eating disorders and their impact on individuals.

A new method to improve estimating data category prevalence.

Examining the impact of the pandemic on software engineering researchers.

Exploring the unseen contributions in open source software development projects.

A new method for managing security findings in DevOps enhances software security practices.

Learn how to apply energy-saving practices to web development.

Investigating differences between human-written and machine-generated code for better detection methods.

A new method combines code generation with autocompletion to reduce errors.

A clear overview of work systems, their components, and management challenges.

A study on the effectiveness of binary-level CFI against source-level methods.

A new model evaluates audio perception through human feedback using Best-Worst Scaling.

New methods improve the clarity of audio components in music tracks.

BandIt enhances audio source separation using innovative deep learning techniques.

Tailoring emotion recognition technology improves accuracy for diverse speakers.

Study reveals serious threats in voice recognition using morph samples.

A detailed dataset combining Mozart's sonatas with piano performances and expert annotations.

A new lightweight model improves pitch estimation using self-supervised learning techniques.

A new approach to improve music segment identification and analysis.

Introducing a novel approach to categorize and study emotions through the Emotion Frame Ontology.

This study examines how ML improves variable selection in symbolic computation.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

FEX offers a novel approach to understanding complex network dynamics from limited data.

A deep dive into the role of symmetric functions over finite fields.

Investigating new methods to enhance pseudorandom generators for better algorithm efficiency.

A look into how we determine parameter values in differential equations.

Learn how to make parameters identifiable in ODE models.

A new model enhances how robots learn from their environments.

MA-VAE enhances detection of anomalies in automotive powertrain data.

Exploring effective tuning techniques for automotive vehicle dynamics.

Denmark's supermarkets explore energy strategies to cut high costs.

Learn how controllability backbone aids in managing networked agents effectively.

New methods help robots learn skills effectively by watching expert videos.

A study on two key methods for detecting faults in engines.

This article discusses using HOT lanes to improve urban traffic flow.