Computer Science

ROAD uses machine learning to identify data anomalies in radio astronomy.

A look at communication security in decentralized federated learning systems.

Highlighting the importance of negative statements in biomedical knowledge graphs.

This research shows how GPT-4 can improve image classification accuracy using visual descriptions.

Examining how online interactions shape polarized opinions in digital debates.

A new approach enhances knowledge graphs by incorporating causal reasoning.

A guide on choosing key features for improving IDS performance.

Explore the importance of structured documentation in AI development for safety and trust.

MythQA detects false claims in social media to support accurate information.

This research shows how GPT-4 can improve image classification accuracy using visual descriptions.

A new approach enhances knowledge graphs by incorporating causal reasoning.

New dataset enhances reasoning in visual grounding tasks.

Bridger enhances image segmentation by integrating language descriptions effectively.

CohortGPT leverages language models to improve participant recruitment for clinical studies.

DEFTri automates defect triage, improving software issue assignment and efficiency.

Assessing the impact of LLMs on medical tasks and their potential applications.

A deep dive into the challenges of computational problem-solving.

Examining the balance of fairness and efficiency in resource allocation.

Learn methods to efficiently assign tasks and workers while minimizing costs.

A new concept that merges computation and thermodynamics in Turing machines.

Investigating the Pilot Assignment problem's theories in Cell-Free Massive MIMO.

A look into how geophylogenies visualize species and their geographic connections.

A look into methods of obtaining randomness from structured sources.

A look into graph theory's role in identifying structures.

A study on deep learning algorithms for optimizing investment portfolios.

Machine learning techniques are transforming solid mechanics through faster and more efficient problem-solving.

Essential tips for submitting your machine learning research to ICML.

Combining accuracy and clarity in engineering through machine learning and symbolic regression.

A new method for designing sound filters with wider frequency handling.

Introducing STZINB-GNN, a better model for predicting traffic accidents and uncertainties.

Innovative models improve groundwater management and prediction accuracy.

Desbordante is an open-source tool for effective data profiling and quality improvement.

Effective algorithms for optimal facility placement in continuous client distributions.

Exploring methods for learning about polytopes through hyperplanes.

A detailed look at topologically attributed graphs for efficient shape classification.

This study focuses on identifying paths in networks of disks.

Exploring light reliable spanners and their impact on networks.

A look at how Möbius homology reveals connections in posets.

Discover how convex polygons in 3D depict graph connections effectively.

A method for efficiently managing independent sets of disks in computational geometry.

New methods help players improve poker strategies while minimizing risks.

A study on effective matching for maximizing project value in organizations.

Exploring fair allocation methods using Maximin Share principles.

A new framework for Liquid Democracy that considers time in voting decisions.

Examining the balance of fairness and efficiency in resource allocation.

Exploring how Q-Learning behaves in near-zero-sum competitive environments.

A study on Riemannian gradient descent and its application in complex game scenarios.

Examining how incentives shape statistical practices in scientific studies.

Deep learning faces serious risks from adversarial attacks that mislead systems.

An overview of pruning and quantization methods applied to YOLOv5.

RefineBox enhances localization accuracy in DETR-like object detection models.

A new method improves data augmentation for histopathological image classification.

This new approach improves how brain connections are analyzed using diffusion MRI.

A new method enhances white blood cell analysis in medical imaging.

A look at how conformal prediction performs under challenging conditions.

A new method enables drones to track each other using cameras and IMUs.

New methods improve model training efficiency and privacy in deep learning.

Introducing friction can enhance content quality shared on social platforms.

Examining recovery strategies after Hurricane Harvey using agent-based modeling.

Examining how technology can reduce traffic accidents and enhance road safety.

Exploring the role of AI and data in humanitarian efforts.

A new approach to maintain fairness in machine learning clustering algorithms.

Explore how changing student connections impact learning outcomes.

A model to effectively identify and combat the spread of fake news.

Deep learning faces serious risks from adversarial attacks that mislead systems.

A new method ensures secure data transfer in hardware designs.

A look at communication security in decentralized federated learning systems.

A new method enhances watermarking for 3D models.

Examining how to protect personal health data in metaverse healthcare systems.

Examining privacy and security risks in virtual healthcare environments.

This study analyzes how users interact with various CAPTCHA types.

A new approach combining blockchain and deduplication improves cloud storage fairness.

Research reveals new methods for fitting ellipsoids to random data points.

An overview of the weighted -server problem and its complex solutions.

Learn how distance oracles improve pathfinding in complex networks.

A new approach to maintain fairness in machine learning clustering algorithms.

A new method tackles the Shortest Two Disjoint Paths problem amidst negative weights.

Explore activation costs and challenges in efficient network connectivity.

A study on scheduling jobs efficiently using two machines and one server.

A new method improves clustering efficiency in changing data environments.

MorphStream improves data stream management for real-time applications.

A new approach to make ranking systems fairer for all groups.

Auto-Tables automates the conversion of non-relational tables for easier data analysis.

This study presents a method for improving Regular Path Queries using Boolean matrices.

Desbordante is an open-source tool for effective data profiling and quality improvement.

A new approach to handle missing data in SQL without nulls.

Introducing a new model for improved air quality predictions.

Exploring how blockchain technology can reshape copyright management for creators.

A new dataset captures citations from papers without DOIs in Computer Science.

A new method for extracting keywords from texts without external databases.

Research is evolving to include essential datasets and software for validation.

A novel method aids in recognizing uncertainty within research texts.

A tool for maintaining confidentiality and integrity in research data management.

An overview of key papers on NLP and ML from early 2023.

A resource connecting global authors and works, focusing on underrepresented voices.

Examining how skill alignment enhances research outcomes in academic institutions.

Exploring efficient patrolling methods using insights from the Fagnano Triangle problem.

Explore how Condorcet domains shape collective decision-making in voting.

Exploring the balance of graph colorings and their implications in mathematics.

A look into how geophylogenies visualize species and their geographic connections.

A look into methods of obtaining randomness from structured sources.

Exploring how vertices work together in graph structures.

Examining different game models of Cops and Robber on directed graphs.

A look into independent sets, Boolean networks, and their complexities.

A look at communication security in decentralized federated learning systems.

New methods improve model training efficiency and privacy in deep learning.

A study on improving deep learning models for limited-resource IoT systems.

Exploring the role of PAIaaS in enhancing AI capabilities with 6G technology.

Innovative approaches enhance data privacy and model performance in connected devices.

A new tool targets code quality issues in cloud applications.

CRIU enables seamless application migration in edge computing environments.

Exploring the security challenges and solutions in the evolving Web 3.0 landscape.

Researchers enhance neural networks using neuromorphic chips for better decision-making.

Exploring the role of STT-MTJ technology in enhancing random number generation.

A novel method enhances DNN performance for real-world applications.

This article explores new computing methods inspired by biological systems.

A new method improves Ising machines' efficiency in solving complex optimization problems.

A look into hyperdimensional computing's methods and benefits.

Exploring the dangers of backdoor attacks in Quantum Neural Networks.

Exploring how to measure and improve the reliability of NISQ devices.

A look into the role of good-for-MDPs automata in decision-making processes.

Exploring the role of saturating automata in understanding concurrent programming.

Research focuses on minimizing registers in weighted and cost register automata.

A look into counter nets, their functions, and unresolved questions.

A method for analyzing and categorizing complex systems through partitioning.

Explore the dynamics and strategies of bidding games between players.

This article discusses regular languages and their significance in formal systems.

An overview of tree transducers, focusing on macro tree transducers and their key properties.

New method improves 3D modeling accuracy from just one image.

New tools improve learning experiences for medical students studying anatomy.

Streamlining the creation of SDQ meshes for better fabrication processes.

A new method improves the creation of realistic character movements in animation.

A new method to explore periodic behaviors in datasets over time.

A new tool streamlines the process of creating animated text using GIFs.

A method for artists to easily manage textures and shapes in their work.

A look into how ML and human input shape effective taxonomies.

MARS framework optimizes deep neural networks on multi-accelerator systems.

Neuromorphic computing offers new ways to process data inspired by the human brain.

A new approach improves polynomial modular multiplication for secure data processing.

A look at how reservoir computing tackles time-dependent data challenges.

MASE simplifies and speeds up ML accelerator development for modern machine learning models.

BearingPGA-Net offers an efficient way to diagnose bearing faults using FPGA technology.

New codes improve memory device reliability against soft errors effectively.

Exploring risks of data leaks in CPU-GPU integrated systems.

A new tool supports designers in monitoring their emotions during the creative process.

AniBalloons enhance text messaging by adding emotional animations.

Learn how LiveRetro helps sellers enhance their livestream shopping strategy with data analysis.

A new platform enhances learning for medical interns by integrating patient data.

Exploring the need for fairness in mobile technology and algorithms.

Study reveals how user ratings impact the effectiveness of recommendation systems.

FSLens uses data visualization to optimize fire station placement for better community safety.

A new dataset for comparing phone and tablet GUIs enhances automated development efforts.

MythQA detects false claims in social media to support accurate information.

XWalk transforms product searches by treating them as recommendations, improving e-commerce effectiveness.

RANSAC-NN offers a fresh method for detecting outliers in image datasets without prior data cleaning.

Study reveals how user ratings impact the effectiveness of recommendation systems.

Exploring how item removal affects recommendations in sequential systems.

RRAML combines language models with a retriever for improved content generation.

A new model enhances shopping experiences through category-focused suggestions.

HeteFedRec improves federated recommendation systems while protecting user privacy.

A novel algorithm streamlines one-bit MIMO detection for enhanced wireless communication.

The TSAR framework enhances AR communication by focusing on essential information transfer.

An overview of GNNs, their features, and training dynamics.

Examining how specific functions can perfectly reconstruct random variables.

A new method enhances device communication in wireless networks.

A look at a two-phase access method for efficient IoT communication.

CAZAC sequences enhance performance in communication systems through unique properties and techniques.

A look into CSS codes and their role in quantum error correction.

New methods improve efficiency in logical proof generation and checking.

A look into non-normal modal logics enhancing agent interactions and reasoning.

A structured approach to teaching formal reasoning using calculational proofs and proof checkers.

A deep dive into the essential qualities of reversible computation systems.

Learn how asynchronous programming improves efficiency and code structure.

An overview of the significance and application of parametric subtyping in programming.

A new method for analyzing functional programs using higher-order term rewriting systems.

This article examines call-by-value higher-order rewriting in programming.

Temperature affects how agents adapt and cooperate in controlling micro-robots.

Research reveals new methods for fitting ellipsoids to random data points.

Deep learning faces serious risks from adversarial attacks that mislead systems.

An overview of pruning and quantization methods applied to YOLOv5.

Learn how coordinate descent can minimize functions with constraints effectively.

Discover how tropical polynomial division enhances neural network efficiency.

A new framework enhances clustering accuracy and efficiency for vast data collections.

A look at communication security in decentralized federated learning systems.

Open-source toolkit enhances Raman spectroscopy analysis across various studies.

FFTc aims to improve FFT computations across hardware platforms.

Examining how one factor influences another through data and methods.

Scylla offers an efficient method for tackling mixed-integer optimization problems.

Streamline causal analysis using Tetrad combined with Python and R.

Graph4J offers an efficient Java library for graph algorithms using simple structures.

Exploring new methods for efficient data storage and computation.

Discover EDOLAB, a platform for tackling changing optimization problems.

OMIGA enhances offline multi-agent learning by integrating global and local learning strategies.

Examining sensor selection to ensure effective behavior monitoring while respecting privacy.

A new method improves fairness in participatory budgeting by promoting dialogue among voters.

A new approach to improve private data trading accuracy and privacy.

This paper introduces responsibility anticipation for better decision-making in multi-agent interactions.

AI research focuses on improving human-like communication in artificial agents.

MetaGPT enhances collaboration among agents for more effective task-solving.

A new framework improves safe learning among robotic agents by addressing experience sharing risks.

Study uses multi-data device to track infant sleep patterns more accurately.

A new approach to enhance image labeling accuracy in machine learning.

A new method improves action recognition by using fewer frames without losing important context.

A new method enhances how images match text inputs.

Exploring how blockchain technology can reshape copyright management for creators.

A new way to assess health using just a smartphone image.

A new tool streamlines the process of labeling video data effectively.

A new method combines image style and content to interpret emotions accurately.

A look at communication security in decentralized federated learning systems.

Exploring the role of PAIaaS in enhancing AI capabilities with 6G technology.

Innovative approaches enhance data privacy and model performance in connected devices.

A new network design can reduce costs in training large language models while maintaining performance.

Exploring AI's role in managing complex 6G network demands.

New algorithms enhance video streaming quality and reduce interruptions.

A look into how users feel about Starlink's internet service.

A look into the rise of larger IPv6 address lists and their implications.

An overview of pruning and quantization methods applied to YOLOv5.

Examining various strategies for effective optimization in finite and infinite search spaces.

Researchers enhance neural networks using neuromorphic chips for better decision-making.

Machine learning techniques are transforming solid mechanics through faster and more efficient problem-solving.

Discover the latest innovations in portfolio optimization and risk management.

New methods enhance the efficiency of Spiking Neural Networks through reduced firing.

New method enhances learning in Spiking Neural Networks by incorporating delay adjustments.

RAVENS mimics brain function to create adaptive computer chips.

This article examines how social media influences opinion change and dynamics.

A new framework enhances clustering accuracy and efficiency for vast data collections.

A new approach using MUSIC algorithm for microwave imaging without traditional devices.

This article examines how numerical solvers influence parameter estimation in ODE models.

A study on weak Galerkin method for solving challenging boundary value problems.

Explore the fundamentals of differential algebraic equations and their significance in various fields.

Machine learning techniques are transforming solid mechanics through faster and more efficient problem-solving.

A study on how tumor cells and healthy cells interact over time.

Discover how ZNS devices simplify SSD data management and improve efficiency.

LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

Analyzing issues in predicting future actions in ongoing processes.

Learn how compartmentalization improves software security by limiting access and interaction.

A new method for efficient data sharing between cloud functions.

This article reviews Linux API usage in various applications and highlights key findings.

A new framework helps scientists communicate and design better experiments.

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.

Analyzing data transmission issues in modern cellular networks and possible improvements.

A deep dive into FaaS performance and its impact on cloud computing.

A new automatic scheduler improves performance for image processing on edge devices.

A new processing unit improves computing with posit numbers.

Federated Learning enables data privacy while improving machine learning collaboration among diverse participants.

Industry and academia unite for better biomedical data processing.

Study analyzes CrUX dataset to improve web user experience metrics.

Explore a new method for efficient storage of sparse matrices to enhance performance.

Exploring the role of saturating automata in understanding concurrent programming.

An overview of essential ideas for effective process development.

Learn how asynchronous programming improves efficiency and code structure.

An overview of the significance and application of parametric subtyping in programming.

This study reviews API contract requirements found in developer discussions online.

This article examines how language models generate Verilog code effectively.

This article reviews the RRTF framework's impact on Code LLM performance.

Learn how lintcstubs enhances OCaml-C code safety and correctness.

Temperature affects how agents adapt and cooperate in controlling micro-robots.

A new energy management system for robots working in unfamiliar areas.

A new method improves robot planning for efficient object handling.

GP-Frontier allows robots to navigate without maps by using real-time sensing.

A new method enables drones to track each other using cameras and IMUs.

This study compares learning and traditional algorithms for robot grasping tasks.

New design framework improves actuation systems in athletic robots.

Learning-based models enhance control of soft robots for complex tasks.

Introducing friction can enhance content quality shared on social platforms.

Explore how changing student connections impact learning outcomes.

A look into indirect methods for understanding social networks.

A novel approach to identify misinformation using browsing patterns.

A new method leverages machine learning for identifying unknown disturbances in complex networks.

Study reveals key roads impacting hospital access during emergencies.

A new framework improves robustness of Graph Contrastive Learning against structural attacks.

Using deep learning to detect hate speech on social media.

Research focuses on the importance of result stability in neuroimaging tools.

This study investigates the link between Technical Debt and security in software development discussions.

A push for standardization to simplify experiment reproduction in research.

DEFTri automates defect triage, improving software issue assignment and efficiency.

This article examines key metrics for assessing code quality in OSS projects.

A new tool targets code quality issues in cloud applications.

Exploring how personality traits influence software user feedback.

A new dataset aims to improve hate speech detection on social media.

A new method transforms mono signals into engaging stereo experiences.

A study on improving emotion detection in speech for diverse groups.

Study uses multi-data device to track infant sleep patterns more accurately.

3D-Speaker provides a vast collection of audio recordings for advanced speech analysis.

GenerTTS enhances text-to-speech technology for cross-lingual applications.

A new system enhances detection of manipulated audio through innovative techniques.

Improving speech recognition for overlapping voices enhances usability in various settings.

New methods enhance voice separation in mixed audio environments.

This article explores a new dataset focused on inequalities in mathematics.

Examining how factoring resultants can enhance cylindrical algebraic decomposition methods.

This article simplifies linear differential equations and their characteristics.

This article examines conditional obligations and their significance in ethical reasoning.