Computer Science

A method to reduce bias in AI training datasets for fairer outcomes.

This study enhances ultrasound image analysis for better diagnosis of organ issues.

A new system enhances how we edit images with specific subjects.

MABIM tool enhances research in MARL for inventory challenges.

Future tech demands meaningful data communication for improved efficiency.

This article discusses how ontologies enhance communication in multi-agent systems.

These frameworks improve causal analysis by accommodating cycles and overcoming traditional assumptions.

A specialized AI model aims to transform radiology practices and enhance patient care.

Explores how negative examples influence AI learning and potential risks.

Study introduces a novel way to estimate machine translation quality with uncertainty.

The study evaluates how mBERT processes the Romansh language using word alignment.

A specialized AI model aims to transform radiology practices and enhance patient care.

BabySLM evaluates how well machines learn to understand speech based on children's language.

A new method improves image captioning by balancing informativeness and fluency.

New methods enhance text classification by utilizing label relationships and fine-grained descriptions.

Introducing PEACE, a framework to enhance hate speech detection across different online platforms.

An overview of polynomial optimization methods and their practical implications.

A look into tensor ranks and their significance across various fields.

Permutation graphs play a crucial role in graph isomorphism testing and algorithm development.

A study on minimizing sensor use in monitoring electrical grids.

This article explores how players compete for limited resources in congestion games.

New methods improve efficiency in bin packing and hypergraph coloring applications.

Examining the significance of counting computations in complexity and cryptography.

Exploring the complexities of learning free fermion distributions in quantum mechanics.

This article discusses how blood vessels adapt under different conditions.

This model helps traders improve investment decisions with a focus on price changes.

Combining reinforcement learning and barrier functions for smarter investment strategies.

Machine learning models can quickly predict electricity prices, enhancing market efficiency.

Combining Green's functions with neural networks offers new solutions for complex PDEs.

A method to trade ETFs based on internal bar strength signals.

New methods improve the simulation of dynamic electromagnetic materials and their applications.

A new method improves deep learning training for high-resolution scientific data analysis.

Explore an optimization challenge in connecting locations using Steiner points.

A new method improves mesh generation for accurate surface representation.

New research reveals methods to detect and address gerrymandering using random districting plans.

Research unveils methods to test if crease patterns can be folded flat.

This article explores challenges and solutions in finding optimal observation paths.

A look at techniques to improve curvature estimation from noisy point cloud data.

Robots efficiently create shapes using color codes and specific movement strategies.

Exploring ε-covers for efficient querying in high-dimensional data analysis.

This article presents a new method for ordering transactions fairly and efficiently.

Examining strategies that influence cooperation among individuals in various scenarios.

Machine learning models can quickly predict electricity prices, enhancing market efficiency.

How firms navigate competitive pricing without full market knowledge.

A new method improves bidder selection speed and accuracy in digital ads.

This article explores how players compete for limited resources in congestion games.

A look into how proposals affect coalitional negotiations and outcomes.

New method improves character movement in animation and gaming.

This study enhances ultrasound image analysis for better diagnosis of organ issues.

A new approach improves landmark detection across various medical images.

A new system enhances how we edit images with specific subjects.

A new method enhances how models grasp image-text relationships.

A new method improves video editing while preserving original content.

OCAtari focuses on game objects for better machine learning.

A new approach to understanding backdoor attacks in machine learning systems.

Revolutionary methods enhance defenses against backdoor attacks in deep neural networks.

CAPTCHA systems face rising threats from solving services as technology evolves.

A look at how data management has transformed over decades.

Ad fraud exploits online advertising, harming brands and undermining trust.

This article examines fairness in algorithms and its implications in various sectors.

Larger language models may perform poorly on certain tasks, raising critical questions in AI research.

This article discusses the importance of datasheets for machine learning sensors.

Ghost booking offers a new way to support those in need.

Evaluating how advanced language models influence programming assessments and education.

A look into IBLTs and their applications in data management.

Exploring strategies to enhance machine learning models against harmful data attacks.

CAPTCHA systems face rising threats from solving services as technology evolves.

A new approach to understanding backdoor attacks in machine learning systems.

Revolutionary methods enhance defenses against backdoor attacks in deep neural networks.

Exploring how quantum computing can transform finance and affect blockchain security.

New framework improves trust in IoT data by authenticating devices via hardware performance.

This article presents a new method for ordering transactions fairly and efficiently.

A look into IBLTs and their applications in data management.

Introducing a reliable method for managing dynamic trees without randomness.

A new algorithm enhances hiring decisions using candidate predictions.

Analyzing strategies for efficiently solving the Bin Packing Problem with various real-world scenarios.

MementoHash offers efficient data distribution across nodes in cloud environments.

This paper presents two new algorithms for clustering graphs with clear structures.

New research reveals methods to detect and address gerrymandering using random districting plans.

A study on minimizing sensor use in monitoring electrical grids.

A method that combines data processing and ML predictions for faster decision-making.

A look at how data management has transformed over decades.

A new dataset and scoring model focuses on human tastes in image generation.

A look into functional dependencies and their significance in data accuracy.

A framework designed to enhance stream compression on edge devices, balancing efficiency and energy use.

Learn how machine learning enhances business process mining for better decision-making.

LaDe provides crucial insights into last-mile delivery logistics using real-world data.

Learned indexing improves data retrieval speed using machine learning techniques.

Using Transformers to analyze and categorize research papers for better insights.

AI tools aim to improve access to LaTeX documents for visually impaired users.

A dataset offering insights into how the Russo-Ukrainian war is reported worldwide.

A new system allows users to search Iconclass using both text and images.

A fresh look at how disruption is measured in science today.

A look at reproducibility issues in speech processing research.

FAIR EVA improves data management practices for researchers and institutions.

This article examines the current state of software citation in scientific studies.

A look into Robinson spaces, PQ-trees, and mmodules for data organization.

A look at geometric inhomogeneous random graphs and their practical applications.

A study on optimizing arrangements of bipartite planar graphs in linear layouts.

A look into functional dependencies and their significance in data accuracy.

Permutation graphs play a crucial role in graph isomorphism testing and algorithm development.

New research reveals methods to detect and address gerrymandering using random districting plans.

Explore the fascinating world of shield tilings and their unique patterns.

Exploring the optimal connection strategies for groups of points in trees.

Introducing a reliable method for managing dynamic trees without randomness.

Learn how RAID enhances data reliability and performance in storage systems.

DistSim analyzes hybrid training strategies, improving efficiency and reducing costs.

New algorithms enhance model performance in federated learning through effective client clustering.

A new approach to enhance visibility among autonomous mobile robots.

New methods enhance personalized federated learning while preserving data privacy.

A new benchmark for combining data types while prioritizing user privacy.

MementoHash offers efficient data distribution across nodes in cloud environments.

Exploring how RNS can boost efficiency and precision in deep learning.

Photonic networks harness light for faster AI processing and energy efficiency.

A new method improves prediction reliability in neural networks using spintronics.

This paper discusses flexible programming methods for dynamic qubit arrays in quantum computing.

Research highlights the benefits of the reducing-width Ansatz design in QNNs.

Exploring the potential of quantum neural networks in chemical and pharmaceutical research.

Using Quantum Boltzmann Machines to improve anomaly detection in cybersecurity.

Researchers are developing methods to streamline the HHL algorithm for quantum computers.

This article explores improvements to Angluin's algorithm for learning automata with noisy data.

This method improves equation discovery from data by using intuitive tree structures.

Learn how multiplication transducers simplify calculations in various bases.

This article introduces a new framework for improving language model execution.

This paper focuses on the importance of robustness in safety-critical systems.

New methods improve the verification of concurrent programs, addressing path explosion challenges.

Exploring efficient methods for creating winning strategies in two-player games.

A study on learning methods for broadcast protocols in complex systems.

A system that mimics human skills in rearranging boxes realistically.

A simple approach to creating detailed 3D room layouts using 2D annotations.

New methods improve animated character realism in speech and expression.

New method enhances vehicle image generation by minimizing drag.

A new system enhances travel choices through personalized attraction suggestions.

New method improves character movement in animation and gaming.

New methods improve the visualization of complex scientific data.

New method improves color manipulation for artists and designers.

Examining the impact of heterogeneous integration on reducing carbon emissions in tech.

Exploring how RNS can boost efficiency and precision in deep learning.

A new method improves prediction reliability in neural networks using spintronics.

Sparq aims to improve performance in quantized neural networks with lower resource needs.

A new platform assesses deep learning accelerator performance for safe autonomous vehicles.

MRFI offers a flexible approach to simulate faults in neural networks, enhancing reliability.

A new hardware architecture improves scene text detection efficiency and accuracy.

This framework streamlines electronic design processes for engineers.

Chart2Vec offers a fresh approach to visualizing context-aware data.

A new model enhances synthetic eye tracking data realism for better applications.

Study examines driver attention and cognitive load in automated vehicle scenarios.

A new framework allows everyday users to manage robotic workplaces easily.

Examining how drivers perceive risk with automated vehicle systems.

New models help users focus on relevant concepts for better predictions.

Study examines how human drivers interact with autonomous vehicles on the road.

Maestro engages students in learning AI safety through competitive gaming experiences.

New methods enhance text classification by utilizing label relationships and fine-grained descriptions.

This research emphasizes the synergy of ranking and grade prediction in various applications.

A tool to verify the authenticity of social media screenshots.

A new approach improves mutual recommendations in job and dating platforms.

Using Transformers to analyze and categorize research papers for better insights.

RecFusion offers a fresh perspective on predicting user preferences in recommendation systems.

A new approach to enhance VDER models using diverse document data.

A new metric aims to improve explainability in search systems.

A framework to assess how networks interact, offering insights into efficiency and redundancy.

Exploring the potential of holographic MIMO in future wireless networks.

Exploring new methods for effective THz communication and channel estimation.

Innovative methods for resolving data overlap in busy communication environments.

Future tech demands meaningful data communication for improved efficiency.

Exploring the relationship between strong blocking sets, minimal codes, and expander graphs.

A look at new methods to improve message clarity in communication.

A new approach to wireless communication using CNN-AE improves efficiency and reduces errors.

A new method combines logic programming and time analysis for better data insights.

This article discusses how ontologies enhance communication in multi-agent systems.

This article explores improvements to Angluin's algorithm for learning automata with noisy data.

A fresh method helps handle contradictions in knowledge systems using probabilistic reasoning.

A look into I/O logic and its impact on decision-making and reasoning.

Explore how trigger selection impacts SMT solver efficiency and accuracy.

Explore how restriction categories help us understand mathematical relationships.

A new method enhances robot planning using structured knowledge and scene graphs.

A method to reduce bias in AI training datasets for fairer outcomes.

This study enhances ultrasound image analysis for better diagnosis of organ issues.

Explore how tiered background knowledge clarifies causal relationships in research.

Explores how negative examples influence AI learning and potential risks.

Exploring strategies to enhance machine learning models against harmful data attacks.

Future tech demands meaningful data communication for improved efficiency.

These frameworks improve causal analysis by accommodating cycles and overcoming traditional assumptions.

OCAtari focuses on game objects for better machine learning.

New methods for matrix multiplication improve speed and energy efficiency.

New methods enhance MPI Alltoallv communication for improved FFT performance.

Discover how FPGA technology improves high-precision matrix multiplication.

Learn about function calculus and its real-world applications.

SpComp enhances efficiency in sparse matrix calculations through smart optimization.

New software enhances XCT imaging with machine learning and data consistency.

Study investigates the impact of noise on matrix profile analysis of time series data.

Optimizing sparse tensor operations for improved performance and efficiency.

A new method allows robots to navigate crowded environments safely.

OMAC algorithm improves decision-making in multi-agent scenarios using pre-collected data.

Improving traffic flow with modern control methods for urban intersections.

A new method for agent cooperation using edge agreements to achieve shared goals.

Learn how groups can effectively tackle complex problems through competitive search methods.

A new method helps robots predict each other's actions for better teamwork.

A look into how proposals affect coalitional negotiations and outcomes.

This article examines how unpredictability affects social behavior and norms.

A new strategy ensures equal representation of data types in machine learning.

A new dataset challenges methods for detecting altered video content.

A new dataset and model improve remote sensing image analysis.

Research shows effective ways to compress cataract surgery videos for better storage management.

Research explores BERT's potential in bar-level music analysis.

A new model improves melody harmonization by considering emotional factors.

A new method improves video compression while maintaining quality and efficiency.

A new framework reduces manual labeling costs in food image segmentation.

Lakat promotes open sharing and collaboration in academic research.

Using game theory to optimize performance in quantum networks for better communication.

A new data collection platform addresses machine learning challenges in network security.

MementoHash offers efficient data distribution across nodes in cloud environments.

Fedstellar enables secure and efficient training of machine learning models across devices.

Photon makes file sharing easy and secure between devices.

A new model improves resource allocation in 5G, ensuring service reliability and efficiency.

Examining the potential of quantum mining to reduce energy use in cryptocurrencies.

New library enhances AI training and evaluation in NetHack.

Exploring how RNS can boost efficiency and precision in deep learning.

Examining the neural connections that enable memory and learning in the brain.

A new framework evaluates how well speech models adapt to specific tasks.

CorInfoMax aims to improve neural networks by mimicking biological learning processes.

Learn effective ways to retrieve data using Hyperdimensional Computing methods.

New methods for boosting SNN resistance against attacks.

Learn how groups can effectively tackle complex problems through competitive search methods.

Exploring eigenvalues in specific Toeplitz matrices with two non-zero off-diagonals.

New model PDNO improves efficiency in solving complex PDEs.

Utilizing the weak Galerkin method to achieve lower bounds for eigenvalues.

A study on the Meshless Lattice Boltzmann Method in fluid simulations.

A new method enhances error estimation in IFE techniques for complex interface problems.

A new method improves preconditioners using machine learning for solving complex equations.

A new method improves understanding of fluid flow over surfaces.

A new method enhances modeling of conservation laws in network systems.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

This framework simplifies the development of Linux kernel schedulers.

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.

Exploring the significance and applications of mobility data in society today.

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.

A method that combines data processing and ML predictions for faster decision-making.

Learn how RAID enhances data reliability and performance in storage systems.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

ZeRO++ enhances communication efficiency in training large deep learning models.

Discover how encrypted DNS improves user privacy and web performance.

New methods improve the visualization of complex scientific data.

Optimizing agent-based models for better performance in biological simulations.

New policies enhance performance in complex cloud environments.

This article discusses using Live Programming to enhance AI-generated code suggestions.

A new method enhances control over text generation in language models.

This study assesses self-repair's effectiveness in programming tasks using advanced language models.

A library for fuzzy logic in Julia, focusing on ease of use and flexibility.

Learn how Hydroflow and e-graphs improve data processing efficiency.

Julia facilitates efficient data analysis in high energy physics through high performance and ease of use.

This article discusses resource leaks and the benefits of automatic inference techniques.

A visual approach to grasping programming concepts using string diagrams.

A novel approach enhances stability and safety in robotic control systems.

This article discusses methods to control load swinging in tower cranes for safety.

This method helps robots understand human commands through foot contact patterns.

Robots learn to clean efficiently by combining language and vision models.

A new method allows robots to navigate crowded environments safely.

A safe system for testing self-driving cars in real-life scenarios with virtual challenges.

Exploring how dual-arm robots can transform fruit picking in agriculture.

A dataset for testing SLAM algorithms in challenging indoor conditions.

A framework to assess how networks interact, offering insights into efficiency and redundancy.

Learn how PLACARD methods improve teamwork in diverse settings.

A look at node classification methods and their applications in various fields.

This article examines a model for understanding media bias and audience polarization.

A look into link prediction methods and their applications across various fields.

Assessing GSL methods for improved graph data learning.

Examining the potential of quantum mining to reduce energy use in cryptocurrencies.

An analysis of Twitter's role in shaping vaccine discussions in Italy.

An overview of ChatGPT's benefits and ethical considerations in software engineering.

Identifying violation symptoms to maintain software architecture quality.

A method to find common mistakes in JavaScript property access.

A look at the importance and challenges of software evaluation in the scientific community.

Examining how team formation affects learning in software engineering courses.

Examining how code reviews facilitate information sharing in software development teams.

Examining the importance and common misuses of security APIs in software.

Evaluating how advanced language models influence programming assessments and education.

A new method improves synthetic speech selection for enhanced ASR system accuracy.

A new method aligns disfluent speech with text efficiently.

Improving systems for silent speech recognition with new techniques.

New methods enhance automatic speech recognition for rare words using context.

A new method for training keyword spotting models using weak supervision in noisy environments.

Methods to improve speech translation systems for underrepresented languages.

MERT addresses music modeling challenges through innovative self-supervised learning techniques.

A new approach enhances RNN-T performance in automatic speech recognition.

Exploring efficient methods for creating winning strategies in two-player games.

Using the Risch Algorithm to improve datasets for machine learning in symbolic integration.

A look at how algebraic simplifiers enhance software reliability.

A novel method to find real solutions in symmetric polynomials efficiently.

A look at methods for handling polynomial equations and their applications.

An overview of complex projective hypersurfaces and their significance in mathematics.

New model improves how knowledge graphs represent concepts and entities.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

This article discusses methods to control load swinging in tower cranes for safety.

Future tech demands meaningful data communication for improved efficiency.

Formation control techniques enhance coordination among robots for various applications.

This article explains how to learn key components of stochastic differential equations.

Study examines how human drivers interact with autonomous vehicles on the road.

A method to enhance safety in reinforcement learning using Control Invariant Sets.

Innovative methods for precise soil moisture monitoring in agriculture.

A new approach enhances privacy while optimizing collaborative agent performance.