Computer Science

This paper presents a method to enhance fairness in multi-output machine learning models.

AI agents enhance air traffic management by handling conflicts and learning from experiences.

New technologies aim to improve care for patients with rare gynecological cancers.

A system empowers users to control their reflective writing process.

Discover how KANs offer an efficient alternative to traditional neural networks.

Introducing COSCO, a framework enhancing classification accuracy with limited data.

A new tool helps minimally verbal autistic children communicate better with their parents.

This study focuses on improving dialogue systems' reliability by assessing confidence in responses.

AI agents enhance air traffic management by handling conflicts and learning from experiences.

New methods streamline PICO extraction from clinical trials for efficient research.

New technologies aim to improve care for patients with rare gynecological cancers.

A system empowers users to control their reflective writing process.

This study examines gender bias in teacher evaluations generated by AI models.

This study focuses on improving dialogue systems' reliability by assessing confidence in responses.

Automating text annotation improves accuracy and efficiency in machine learning.

A new approach combines two KenLM models for better data filtering.

Exploring the complexities of genome rearrangements and the significance of median arrangements.

Examining how improvements in decision trees can enhance coding theory methods.

New insights into Kolmogorov complexity enhance data compression methods.

Research reveals new insights into group multiplication and its communication complexity.

Explore temporal VCSPs and their significance in optimization problems.

A look into the Max-Cut problem and its applications in various fields.

Research unveils faster mixing methods in random reversible circuits for improved cryptography.

Investigating how vertex merging impacts graph properties and classifications.

Examining how melting lakes influence ice movement and sea level rise.

A study on instance and batch incremental learning methods for delayed labels in fraud detection.

Examining how sanctions affect crypto transactions of sanctioned entities.

Patient-specific models enhance understanding of heart blood flow and treatment strategies.

A new method enhances stability in SPH simulations for solid dynamics.

This article discusses uncertainty analysis in engineering through the FgPC method.

New AI techniques improve fluid dynamics modeling accuracy and efficiency.

An overview of the implicit Euler method and its applications in differential inversion.

A look into the complexities of bichromatic spanning trees and their applications.

A study on dynamic issues in unit disk graphs and efficient problem-solving methods.

Learn how to draw bipartite planar graphs using parallel methods.

HypersurfaceRegions.jl helps researchers analyze complex mathematical structures.

A look into minimum spanning trees and their significance in various fields.

A look into clustered planarity and linear saturation in graph representation.

A new algorithm enhances convex hull finding with improved efficiency.

Researchers develop methods to interpret crater shapes in space images.

Examining the impact of personalized pricing on business success and competition.

A framework to enhance cooperative behavior using advanced AI technology.

CountChain uses blockchain to improve accuracy and trust in counting for online advertising.

Exploring new economic models for data using quantum communication principles.

MEGA-PT improves penetration testing effectiveness and adaptability for better cybersecurity.

A look at how auction formats influence bidding behavior and outcomes.

Learn key trading strategies in a competitive environment.

Examining trade-intent auctions' fairness and efficiency in modern finance.

Overview of techniques for detecting and classifying human actions.

SparX enhances image processing by mimicking the human visual system.

Research showcases LLMs' potential for recognizing objects in event-based visuals.

Integrating motion information enhances object detection accuracy in images.

ScaleFlow++ improves 3D motion estimation using monocular cameras for various applications.

NSSR-DIL transforms low-quality images efficiently without large datasets.

A machine learning approach harnessing motion for effective visual data learning.

This study monitors forest changes in Ivory Coast using advanced satellite data.

This paper presents a method to enhance fairness in multi-output machine learning models.

This study investigates sex bias in predicting pilot stress and fatigue.

A framework to enhance cooperative behavior using advanced AI technology.

Examining COVID-19 misinformation on YouTube in the US and South Africa.

International cooperation is essential for AI safety standards.

Exploring the benefits and challenges of AI companions that remember user interactions.

Examining the slow progress toward the UN's 2030 goals across countries.

ARTAI aims to assess societal impacts of recommender systems and enhance transparency.

A system for private histogram estimation that safeguards user privacy while providing accurate data insights.

A new technique reveals weaknesses in AI safety measures for language models.

Federated Learning boosts privacy and efficiency in smart grid operations.

This article explores a method to understand black box machine learning models without training data.

Examining the privacy issues linked to third-party SDKs in mobile applications.

A new system enhances privacy for participants in research studies.

Examining how sanctions affect crypto transactions of sanctioned entities.

FreeMark enables watermarking of deep learning models without affecting performance.

A method to optimize tag assignment for billboard ads based on audience needs.

Combining algorithms and machine learning enhances efficiency in handling data streams.

Learn how differential privacy enhances data analysis while safeguarding personal information.

Learn how adjacency labeling optimizes graph data storage and analysis.

Oblivious data structures protect sensitive information by hiding access patterns.

An overview of joint embedding property and its implications for cographs and trees.

Examining how improvements in decision trees can enhance coding theory methods.

A study on dynamic issues in unit disk graphs and efficient problem-solving methods.

A system to make data handling easier for beginners and experts.

Lester helps simplify messy data science code for better data management.

New methods improve speed and relevance in finding similar user travel paths.

A new method improves the efficiency of GraphQL queries on knowledge graphs.

Researchers develop methods for better automated data wrangling code through context-rich examples.

A look at how advanced technologies can support legislative processes.

Learn simple methods for effective data joining and sampling.

Essential rules for preparing your paper for NeurIPS 2024 submission.

A new perspective on how scholars decide where to publish their work.

Examining how LLMs are changing writing and speaking in academic settings.

RRD-Bio offers a centralized hub for over 2.5 million biomedical research resources.

A look into metal-organic frameworks and their growing significance in science.

A new approach to organizing data in low-temperature plasma research.

A system to streamline knowledge on Large Language Models for researchers.

Recommender systems can enhance access to historical documents in digital archives.

A framework to automate and improve scientific literature summaries for researchers.

Learn how digraphs improve refueling station placement for electric vehicles.

A look at how sparse graphs relate to their line graphs and properties.

Learn how adjacency labeling optimizes graph data storage and analysis.

A look at how graphs help in real-world applications like logistics.

An overview of joint embedding property and its implications for cographs and trees.

This study reveals the limits and structures of planar -complete graphs.

Exploring the structure and behavior of automata networks in various fields.

This study examines the process of reconfiguring spanning trees using matroid concepts.

A new framework enhances task scheduling and execution in edge computing.

A new method enhances data privacy in machine learning through personalized approaches.

A new method improving speech recognition while ensuring data privacy.

CountChain uses blockchain to improve accuracy and trust in counting for online advertising.

This article discusses a new approach for network management through serverless computing.

A new RL environment aims to improve code optimization for MLIR compiler.

A study analyzing blockchain fault tolerance across five modern systems.

A new method combines Federated Learning and Adversarial Training for insider threat detection.

Examining how biases affect digital content suggestions across demographics.

This article discusses peephole optimization for better quantum circuit performance.

Count2Multiply improves matrix multiplication efficiency directly in memory systems.

Learn how LoRa improves communication in agriculture for better efficiency.

Learn how UL-TDoA enhances 5G positioning capabilities for various industries.

Discover how Quantum Computing is reshaping musical creativity with the Variational Quantum Harmonizer.

Examining the challenges and solutions for child internet safety in Tanzania.

A novel method enhances control of quantum systems through flexible pulse management.

Exploring recent developments in automata learning and query techniques.

A new approach to help self-driving cars make safer decisions on the road.

This article discusses a new method for generating correctness proofs in Rust.

This article discusses the Submonoid Membership problem in lamplighter groups and its implications.

A new method for faster string query evaluation using MSO logic.

An overview of finite automata, focusing on states, transitions, and reachability.

A new method enhances how robots plan and execute tasks effectively.

A framework for better understanding complex Markov chains using abstraction and sampling techniques.

Playground v3 transforms text prompts into high-quality images with precision.

Visualize how keywords and topics evolve over time with TimeLink.

A method to prevent sagging in elastic strands through rest shape optimization.

A new method improves 3D head models for realism and performance.

A new method improves facial animation transfer for digital characters.

A new technique improves image realism by decoupling color and shape representation.

A new method to improve 3D rendering quality and detail.

A new method improves uncertainty estimation in computer graphics for realistic scene representations.

Count2Multiply improves matrix multiplication efficiency directly in memory systems.

A method to improve efficiency in neural networks using in-memory computing.

A new system leverages spiking neural networks for efficient data processing.

New methods improve high-level synthesis through efficient design space exploration.

CARAML offers a new way to assess AI hardware efficiency in machine learning tasks.

RapidOMS offers a faster, more efficient approach to mass spectrometry analysis.

Examining firmware vulnerabilities and the tools to enhance security.

New architecture enhances large language model performance on edge devices.

AutoJournaling automatically captures daily moments and emotions using smartphone screenshots.

A system empowers users to control their reflective writing process.

A new tool helps minimally verbal autistic children communicate better with their parents.

A new model helps robots follow unclear human instructions more effectively.

Examining how light and dark modes affect data interpretation across age groups.

This article explores how context improves user decision-making with AI systems.

A study on an automated system for verifying data claims.

This study highlights how interactive visualizations aid data analysts in gaining insights.

Overcoming recency bias to enhance user experience in recommendation systems.

New methods streamline PICO extraction from clinical trials for efficient research.

Examining how biases affect digital content suggestions across demographics.

This framework allows quick learning of new object categories with minimal data.

Learn how causal models can enhance recommendations by focusing on key factors.

A new text embedding model shows promise in multilingual tasks and performance.

Learn how multimodal vector search improves information retrieval through advanced user interactions.

This article outlines a framework to better rank content providers using user feedback.

A fresh perspective on information measurement and its implications.

New techniques improve decoding efficiency of Reed-Muller error-correcting codes.

New techniques enhance performance in cell-free massive MIMO networks for mobile communications.

This article discusses an innovative approach to image transmission that enhances reliability.

Exploring hybrid beamforming with widely-spaced arrays for improved THz communication.

Research explores new methods to secure communication in sensing technologies.

Explore how the firefly algorithm enhances antenna positioning and beamforming.

A look into the risks and measures for protecting sensitive data.

A new method streamlines the counting of minimal models in Boolean logic.

A fresh approach to lambda calculus, integrating resource usage and approximation.

A look at the Stability Property and its significance in call-by-value calculus.

A look at how randomness shapes modern computational techniques.

A look into functions, derivatives, and their interconnectedness in everyday scenarios.

Explore the significance of covering spaces in algebraic topology and their applications.

Exploring new methods to improve proof verification in software engineering.

A framework for analyzing concurrent programs with probabilistic outcomes.

Overcoming recency bias to enhance user experience in recommendation systems.

This paper presents a method to enhance fairness in multi-output machine learning models.

New methods streamline PICO extraction from clinical trials for efficient research.

Discover how KANs offer an efficient alternative to traditional neural networks.

Introducing COSCO, a framework enhancing classification accuracy with limited data.

Prosumers balance energy supply and demand in Iran's challenging market.

A new technique reveals weaknesses in AI safety measures for language models.

A machine learning approach harnessing motion for effective visual data learning.

A new framework combines machine learning and PDEs for efficient scientific modeling.

Learn how quantum emulators advance research and explore algorithm performance.

Forester simplifies machine learning for R users with a user-friendly package.

Learn how the funnel method simplifies solving constrained optimization challenges.

Improving simulations of multiphase fluid flows using modern GPU technology.

HypersurfaceRegions.jl helps researchers analyze complex mathematical structures.

QHyper simplifies the use of quantum computing for combinatorial optimization tasks.

A simple guide to graphs, nodes, edges, and distances in real life.

A new model helps robots follow unclear human instructions more effectively.

A new method enhances agent coordination using simple local interaction rules.

A new framework improves motion prediction for self-driving cars, enhancing safety and efficiency.

Investigating how AI agents reproduce scientific results through a new benchmark.

A new method for deploying UAVs in unknown areas using RL and PPO.

Robot vehicles improve traffic management and reduce waiting times at busy intersections.

A flexible approach for analyzing changing relationships in multi-output data.

Examining the impact of data quality on offline multi-agent reinforcement learning research.

Artificial intelligence is reshaping music with new tools and approaches.

Improving real-time communication through new congestion control methods.

New methods improve audio synchronization with changing video scenes.

NVLM enhances AI's grasp of language and visuals for diverse tasks.

TRIM method reduces image tokens in multi-modal language models while maintaining performance.

Exploring how LLMs improve reasoning across various data types.

PDMX offers a vast collection of public domain symbolic music for AI development.

MoRAG enhances human motion generation from text descriptions using part-specific retrieval.

Exploring the role of active RIS in enhancing THz communication systems.

A new framework enhances task scheduling and execution in edge computing.

Improving real-time communication through new congestion control methods.

Learn how LoRa improves communication in agriculture for better efficiency.

Using centrality to enhance data sharing in vehicular sensor networks.

Exploring the future of data and communication through advanced satellite networks and quantum computing.

Examining the impact of Topics API on digital advertising and competition.

Combining blockchain and IPFS offers a secure and efficient solution for version control.

Introducing COSCO, a framework enhancing classification accuracy with limited data.

KAT improves deep learning by using advanced KANs to replace MLPs.

A study on instance and batch incremental learning methods for delayed labels in fraud detection.

Introducing a unique neural network to handle complex-valued data effectively.

SHIRE enhances robot learning speed by integrating human intuition with reinforcement learning.

A new system leverages spiking neural networks for efficient data processing.

Inferno helps researchers work with spiking neural networks effectively.

Explore how the brain processes information, memories, and emotions.

A new method streamlines nuclear reactor calculations successfully.

A new framework combines machine learning and PDEs for efficient scientific modeling.

New methods improve heat transport simulations in anisotropic plasmas for fusion research.

Researchers create simpler models to predict complex fluid behaviors efficiently.

A new method merges physics and machine learning to address complex mathematical equations.

Researchers unveil the mechanics behind the swimming of tiny organisms using cilia and flagella.

A look at how mixed FEM aids in studying poroelastic materials.

An overview of optimal sampling methods in least-squares approximation.

A detailed look at CXL memory performance and optimization techniques.

A look at FIFO and Round Robin scheduling methods in computing systems.

GPUVM enhances GPU memory management for faster data processing.

A unified API streamlines communication with NVMe devices for developers.

EDM transforms memory disaggregation, achieving rapid data access and efficiency.

HotMem speeds up memory reclamation in serverless setups for improved performance.

Chameleon system enhances language model performance by managing resources effectively.

Exploring the transition from blocking to asynchronous I/O methods.

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.

nekCRF enhances combustion simulations for better efficiency and lower emissions.

Learn how UL-TDoA enhances 5G positioning capabilities for various industries.

A study analyzing blockchain fault tolerance across five modern systems.

This research enhances RFA simulations by applying parallel computing techniques to reduce execution time.

CARAML offers a new way to assess AI hardware efficiency in machine learning tasks.

A novel compressor boosts GMRES performance in solving linear equations.

A study comparing LLMs Mistral and LLaMa on different GPUs.

Discover how causal relationships impact decisions in various fields.

A new coding language aims to improve neural network training performance.

Minuska provides a robust method for creating verified interpreters from language definitions.

A look into how parties share information in quantum computing.

Learn how continuations aid in managing quantum computations.

QLMNtal enhances graph handling with powerful quantification features.

vMocks streamline formal verification, enhancing software safety and reliability.

Exploring the importance of memory consistency in multi-threaded programming environments.

A look at types, contexts, and proofs in programming languages.

Innovative method improves the quality of 3D maps using LiDAR and camera data.

A new model helps robots follow unclear human instructions more effectively.

Study reveals LiDAR vulnerabilities and performance issues in harsh conditions.

Explore the importance and challenges of accurate robot kinematic calibration.

A method to clarify how robots make choices to ensure safety.

FEM aids in understanding and enhancing ultrasonic motor performance.

This article explores a method for quadrotors to safely navigate complex spaces.

A new method improves robots' grasping ability using natural language commands.

A new model reveals insights into positive and negative relationships in networks.

ES-KT-24 dataset enhances Knowledge Tracing with educational game data and videos.

PropEnc transforms graph metrics into useful node features, enhancing GNN performance.

Introducing a flexible method for simplifying network connections without fixed parameters.

A study compares models for detecting cyberbullying targeting LGBTQ+ individuals on social media.

A new method enhances freelancer and project matching efficiency across languages.

Exploring self-similarity in networks over time reveals insights into complex systems.

A study on how organizations behave on social media regarding climate change.

Harden helps users track behaviors and thoughts to combat addiction.