Computer Science

A new method improves healthcare decision-making using reinforcement learning.

FlexCHarts adapts search spaces for deep neural networks to improve efficiency and performance.

Curatr helps humanities researchers streamline their text analysis process.

Learn how Active Inference informs intelligent systems' decision-making and adaptability.

A look into federated learning’s vulnerabilities and the threat of backdoor attacks.

Introducing a method to erase backdoors without needing clean data.

Active learning enhances machine performance through human interaction and feedback.

A benchmark for assessing image similarity based on user-defined conditions.

An overview of explainable AI methods in automatic speech recognition.

Curatr helps humanities researchers streamline their text analysis process.

Assessing how language models handle contradictory information through BoardgameQA dataset.

WebGLM combines language models and web information for quick, accurate answers.

This document explores sentiment analysis across different languages and cultures.

Crowd workers increasingly use LLMs, raising concerns about data authenticity.

This study enhances detection methods for satire and sentiment in Romanian texts.

This article reviews ChatGPT's text generation for summaries and style changes.

An overview of quantum learning and its applications in technology.

A concise overview of set functions, their types, and optimization methods.

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.

Researchers develop a generative model to improve protein folding predictions.

Innovative approaches using DMD and GAN enhance modeling of shock-induced pore collapse.

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.

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 discusses how multiple agents learn decision-making with safety constraints.

Learn effective methods for choosing influential figures in various networks.

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.

This article presents a new method for efficient semantic segmentation in 3D scenes.

Exploring the potential of event cameras in enhancing pedestrian detection for autonomous vehicles.

XrayGPT helps healthcare professionals analyze chest X-rays more effectively.

A benchmark for assessing image similarity based on user-defined conditions.

GLoRA streamlines the adaptation of large AI models for various tasks efficiently.

New method improves depth estimation using dual-pixel sensors in various imaging devices.

A method to create realistic 3D shapes using only 2D data.

A new approach enhances model adaptability across diverse datasets.

Crowd workers increasingly use LLMs, raising concerns about data authenticity.

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.

A look into federated learning’s vulnerabilities and the threat of backdoor attacks.

Introducing a method to erase backdoors without needing clean data.

A new method improves neural network defenses against adversarial attacks.

Adversarial examples can confuse object detection systems, revealing security gaps.

This research presents a method to identify real versus generated graphs.

A method to safeguard original images from unauthorized use while allowing creativity.

Exploring how SMS can expose user locations through Delivery Reports.

FMKR approach improves APT detection and response through few-shot learning.

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 concise overview of set functions, their types, and optimization methods.

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.

A guide to enhancing GPU performance through efficient array permutations.

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.

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.

Counterfactual explanations clarify AI decisions by showing potential outcomes of different choices.

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.

A new method enhances the way we evaluate search systems.

A new dataset reveals user behavior linking search and recommendation services.

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 look at FTN signaling and its impact on wireless data transmission.

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 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 new method improves healthcare decision-making using reinforcement learning.

FlexCHarts adapts search spaces for deep neural networks to improve efficiency and performance.

Learn how Active Inference informs intelligent systems' decision-making and adaptability.

A look into federated learning’s vulnerabilities and the threat of backdoor attacks.

Introducing a method to erase backdoors without needing clean data.

Active learning enhances machine performance through human interaction and feedback.

A benchmark for assessing image similarity based on user-defined conditions.

GLoRA streamlines the adaptation of large AI models for various tasks efficiently.

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.

This article discusses how multiple agents learn decision-making with safety constraints.

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.

A benchmark for assessing image similarity based on user-defined conditions.

A new model improves how machines understand and respond to audio questions.

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 look at scheduling methods for effective network communication management.

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.

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.

Innovative approaches using DMD and GAN enhance modeling of shock-induced pore collapse.

Learn how GO-LDA improves data classification accuracy over traditional methods.

A new method improves image creation speed while maintaining quality.

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.

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.

New approach enhances scenario extraction for automated vehicle safety testing.

Analyzing safety measures for autonomous vehicles in dynamic driving conditions.

New strategies enhance robots' movement on asteroids, improving exploration efficiency.

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 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.

Using machine learning to speed up microservice failure diagnostics.

Examining simple changes to support neurodivergent learners in higher education.

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.

An overview of explainable AI methods in automatic speech recognition.

A new model improves how machines understand and respond to audio questions.

Research highlights the need for improved turn-taking in TTS technology.

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.

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.

A study on improving radiation dose distribution in cancer therapy.

A new method enables go-karts to drive autonomously using data-driven techniques.

Analyzing safety measures for autonomous vehicles in dynamic driving conditions.

Combining traditional sensors with connected vehicle data to estimate ramp queue lengths.

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.