Computer Science

A fresh approach to train models using corrupted datasets.

Introducing a method that combines local and global attention for improved graph clustering.

Gradient Information Optimization enhances data selection for efficient model training.

Addressing common misconceptions in Explainable AI to improve its understanding and application.

Boosting language models' performance for languages with limited data.

A proposed framework aims to tackle flaky tests in software development.

Discussing the vital need for AI regulation and its implications for society.

New methods tackle challenges in neural networks using memristor technology.

A new method enhances text-to-speech quality and emotional expression.

Boosting language models' performance for languages with limited data.

A method to detect systematic failures in multimodal models before real-world use.

New benchmark assesses language models' understanding of human thoughts and feelings.

Techniques to reduce model size while preserving performance are emerging.

This project uses NLP to assess the quality of classroom discussions automatically.

A new framework simplifies data retrieval for language researchers on TalkBank.

AI models struggle to assist researchers with paper revisions based on reviewer feedback.

Investigating the isomorphism problem in power graphs and its implications.

Explore the role of lattices in mathematics and their applications in computer science.

Examining how input changes affect symmetric Boolean functions and their complexity.

New findings highlight differences in randomized and deterministic algorithms.

A deep dive into the complexities of checking paths in graphs using context-free grammars.

New algorithms improve efficiency in approximating treewidth for complex graph issues.

This work introduces new rules for graph editing to achieve trivially perfect structures.

A look into how multi-vote systems influence electoral outcomes and voter satisfaction.

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.

A new method enhances image creation from radio telescope data.

Combining peridynamics and gradient elasticity enhances understanding of dislocations in materials.

Using invalid data enhances generative model accuracy and creativity.

Study examines BERT’s ability to predict ratings across different product types.

A new IDE aims to improve reproducibility in computational experiments.

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 study focuses on minimizing network lengths connecting specific points in geometry.

This research examines methods to eliminate crossing segments using flips.

New model improves how knowledge graphs represent concepts and entities.

Discover the complexities behind Olivier Longuet's unique Calissons Puzzle and its mathematical implications.

This study examines various methods to analyze resting-state fMRI data.

Combining DNN surgery and edge computing enhances mobile device processing capabilities.

A look at how data collaboration can improve research outcomes.

A novel approach enhances defenses in federated learning systems against adversarial attacks.

Exploring imitation learning within mean-field games and its unique complexities.

Strategies for effective budget management in online advertising.

This study examines the dynamics of cooperation through the lens of reinforcement learning.

Learn how payment channel networks can improve cryptocurrency transactions.

Exploring how DAOs impact auction dynamics and decision-making processes.

A fresh approach to train models using corrupted datasets.

A review of breast cancer whole-slide image datasets for research advancement.

A comprehensive video dataset highlights social interactions among meerkats in captivity.

A new approach to train models effectively despite noisy labels.

HabiCrowd aids robots in understanding human dynamics in crowded environments.

A new approach to matching images with point clouds using geometric and color data.

A new method enhances 3D human pose estimation through LiDAR data.

A study on using synthetic data to improve human-object interaction detection in industrial settings.

Discussing the vital need for AI regulation and its implications for society.

A look at how data collaboration can improve research outcomes.

This work discusses model families for decision support in dynamic situations like COVID-19.

Exploring how position and language affect persuasion in online conversations.

Examining the impact of dataset size on harmful content in AI models.

Examining fairness in AI systems and their impact on decision-making.

This paper highlights the importance of explainable evaluation metrics in machine translation.

An analysis of buyers, sellers, and market dynamics in dark web transactions.

FDINet offers a new defense against model extraction attacks in cloud-based services.

New protocols improve privacy and model integrity in federated learning.

Hash functions are vital for security, yet collisions pose significant challenges.

A new exercise helps businesses manage cyber security incidents effectively.

Self-Supervised Intrusion Detection offers real-time security improvements for IoT systems.

Advancements in technology enable the creation of convincing fake human faces.

Examining the impact of generative AI on cyber threats and defenses.

DOF-ID enhances threat detection without compromising data privacy.

Investigating the isomorphism problem in power graphs and its implications.

A new deterministic algorithm for (degree + 1)-list coloring in distributed systems.

A new method to handle interactions in temporal graphs effectively.

New graph structures improve the study of genomic diversity and data processing.

Exploring page counts in deque and rique layouts for complete graphs.

Learn how synthetic data can protect privacy in longitudinal research.

Learn how Pb-Hash improves data management and efficiency in various fields.

Explore methods to minimize machine rentals while scheduling tasks effectively.

A new framework simplifies data retrieval for language researchers on TalkBank.

A new method automates BI modeling to improve accuracy and accessibility for users.

CurvPy makes curve fitting and data analysis easier for everyone.

Discover how OtterTune simplifies database management using machine learning.

A new template to improve data quality and documentation for online research.

Explores the link between the chase algorithm and sequent calculus in query answering.

A look into document spanners and their role in text information extraction.

An overview of transaction workloads and their role in financial systems.

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.

Analyzing research papers for accuracy through statistical methods.

This study aims to clarify repository duplications across multiple registries.

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

Learn how model-based diagnosis identifies and fixes system issues effectively.

New hybrid methods improve solutions for complex combinatorial problems using quantum computing.

A large-scale dataset and advanced algorithm for vehicle routing efficiency.

Modeling complex biological interactions using strong regulatory graphs for better insights.

Learn how addition sequences improve efficiency in computing powers.

Explore odd colouring and its applications in graph theory.

This article examines new methods for improving periodic timetabling through split cuts.

MimiC enhances federated learning by addressing the dropout issue for better model accuracy.

A new technique enhances efficiency in Machine Learning models for faster predictions.

A look at how data collaboration can improve research outcomes.

FLGo platform streamlines federated learning for researchers with flexible tools.

This article explores the environmental impact of high-performance computing systems.

New policies enhance performance in complex cloud environments.

Key tips to prepare clear and professional conference papers.

Exploring the Internet of Energy and its modern technologies.

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.

A new compact design for programmable linear optical processors enhances performance and reduces energy use.

Researchers study memristive devices to create human-like working memory in technology.

Explore how AI tools assist in coding for high-performance computing tasks.

Examining design pathways to enhance chiplet communication speeds and efficiency.

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

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

Analyzing the properties and implications of generalized Sem enov arithmetic.

A look into document spanners and their role in text information extraction.

A new approach improves SAT solver efficiency through better communication between modules.

A look into the complexities of ensuring distributed systems operate correctly.

Discover efficient methods for string handling using DAWGs and suffix trees.

A look into how synchronizing automata enable systems to reset states effectively.

Introducing a new glove design for accurate hand tracking using ultrasonic sensors.

A new method for smooth transitions between triangle meshes in computer graphics.

MySemCloud improves word clouds by enhancing meaning and layout for better understanding.

A new method enhances visual effects by simplifying actor-background separation.

New method blends human shapes to predict movements accurately.

A new tech merges motion analysis with language for better animations and interactions.

A study on dashboard design elements and their impact on usability.

New techniques aim to speed up image rendering in complex 3D scenes using DDFs.

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

This framework streamlines electronic design processes for engineers.

Exploring energy harvesting systems and intermittent computing for sustainable IoT solutions.

Examining the rise of spiking neural networks in artificial intelligence.

A look at techniques to speed up Graph Neural Networks in complex datasets.

Explore the significance of locomotion technology in enhancing VR experiences.

Citadel improves secure enclaves' protection and performance against attacks.

Exploring the benefits of using different-sized arithmetic units in computing systems.

This article examines how contributors argue and disagree in Wikidata discussions.

New benchmark assesses language models' understanding of human thoughts and feelings.

Language models enhance collaboration and understanding in scientific simulations.

Introducing a new glove design for accurate hand tracking using ultrasonic sensors.

Examining the role of advanced technologies in modern building processes.

HumanDiffusion improves data generation through human feedback for better acceptance.

Exploring issues and solutions for gig workers' rights and well-being.

A user-friendly interface for identifying new classes in tabular data.

Discover new methods improving the efficiency of document retrieval systems.

A new method enhances multi-criteria recommendations using graph neural networks.

A comprehensive overview of the OBELICS dataset creation and its implications for machine learning.

A new model streamlines document classification with compressed images, improving speed and accuracy.

A new method improves search and recommendation systems by focusing on user preferences.

A look into the latest video retrieval tasks and their importance.

A new approach to enhance user recommendations using hypergraph frameworks.

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

A fresh approach to train models using corrupted datasets.

New methods enable handheld devices to connect with multiple satellites for better communication.

A new method enhances multi-criteria recommendations using graph neural networks.

A look into Beyond Diagonal Reconfigurable Intelligent Surfaces and their impact on wireless communication.

Examining the impacts of federated learning on model generalization and data privacy.

Examining the connection between uncomputable sets and their infinite subsets.

A look into the components of information and their relationships.

A new system enhances communication in shared channels using feedback and deep learning.

A visual approach to grasping programming concepts using string diagrams.

A new approach to verify neural networks' global behaviors for reliable performance.

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

Learn how model-based diagnosis identifies and fixes system issues effectively.

A deep dive into EAMs and their role in programming languages.

Analyzing the properties and implications of generalized Sem enov arithmetic.

Explores the link between the chase algorithm and sequent calculus in query answering.

A look at how algebraic simplifiers enhance software reliability.

A fresh approach to train models using corrupted datasets.

A review of breast cancer whole-slide image datasets for research advancement.

Exploring the benefits of Wasserstein distances in machine learning model generalisation.

A new method enhances text-to-speech quality and emotional expression.

FDINet offers a new defense against model extraction attacks in cloud-based services.

Examine the impacts of shifting data sources on official statistics and machine learning.

Introducing a method that combines local and global attention for improved graph clustering.

Researchers combine audio and visual data to improve speech understanding in noisy places.

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 deep dive into testing practices for interval arithmetic libraries.

This article examines how unpredictability affects social behavior and norms.

Loopy adapts its shape through local interactions, mimicking biological systems.

Drone swarms offer efficient solutions for transporting heavy loads in various industries.

Two methods enhance robot teamwork without needing global information.

This work reveals the benefits of decentralized communication in games with many agents.

This study examines the dynamics of cooperation through the lens of reinforcement learning.

Examining the critical impact of data on AV decision-making processes.

A new strategy to manage MAPs in 5G networks for better service.

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.

This framework streamlines data processing for better recommendation systems.

A new method speeds up video encoding while maintaining quality.

This project helps anyone compose music using basic beats and advanced computer methods.

This study examines ray-tracing models for industrial wireless communication efficiency.

Combining DNN surgery and edge computing enhances mobile device processing capabilities.

Self-Supervised Intrusion Detection offers real-time security improvements for IoT systems.

DOF-ID enhances threat detection without compromising data privacy.

P4Green aims to cut energy use in data centers with programmable technology.

Drones equipped with LoRa technology enhance search-and-rescue operations in challenging environments.

ALBUS offers improved detection for burst-flood DDoS attacks, enhancing internet security.

Analyzing key factors affecting emergency evacuations on cruise ships.

New methods tackle challenges in neural networks using memristor technology.

Understanding machine learning models is crucial for trust and accountability.

QNNRepair improves the accuracy of neural networks after quantization.

The ELM neuron model simplifies understanding complex brain functions with fewer parameters.

CIMulator aids in optimizing memory devices for better AI performance.

A new neuron model improves local learning in neural networks.

Explore the differences between ANN and SNN in processing data.

Exploring the evolution of cellular automata with adaptive rules for complex systems.

A novel framework improves accuracy and efficiency in modeling binary-fluid interactions.

A new approach enhances thermal flow calculations in solar receivers.

Explore recent methods and their impact on optimization efficiency.

A new mixed precision approach improves solving total least squares problems.

Research explores neural networks to manage control in quantum systems effectively.

Explore methods to speed up the process of finding solutions to complex problems.

This article discusses using mini-batches with Gaussian processes to solve nonlinear PDEs.

Introducing Vandermonde Neural Operator for more efficient PDE simulations with irregular data.

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.

A new method for efficient data sharing between cloud functions.

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.

New policies enhance performance in complex cloud environments.

Exploring the benefits of using different-sized arithmetic units in computing systems.

New methods enhance MPI Alltoallv communication for improved FFT performance.

An overview of transaction workloads and their role in financial systems.

Discover how FPGA technology improves high-precision matrix multiplication.

A new approach improves performance in diverse computing systems.

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

This study uses machine learning to enhance data storage efficiency through performance modeling.

A visual approach to grasping programming concepts using string diagrams.

Learn how the Actor-Reactor Model enhances reactive programming.

Explore how AI tools assist in coding for high-performance computing tasks.

A new method enhances verification tools for non-linear arithmetic in complex programs.

A look at how algebraic simplifiers enhance software reliability.

Bluefish simplifies graphic creation for complex data, enhancing clarity and accessibility.

Rockmate automates memory optimization for training large deep learning models efficiently.

A solution for accessing data across different blockchains seamlessly.

Introducing a new glove design for accurate hand tracking using ultrasonic sensors.

Loopy adapts its shape through local interactions, mimicking biological systems.

New radar system improves location recognition and uncertainty management for robotics.

A method for robots to safely avoid obstacles while reaching goals in dynamic spaces.

Drone swarms offer efficient solutions for transporting heavy loads in various industries.

ScenarioNet uses real driving data for better self-driving car testing.

A new robotic system learns to handle articulated objects effectively.

Control robots easily with smartwatches for seamless human-robot interaction.

A look at ERRA’s approach to explainable recommendations.

A new method enhances multi-criteria recommendations using graph neural networks.

A study of Chicago's taxi rides reveals neighborhood connectivity and travel trends.

A new method for detecting fake news through focused analysis.

Exploring how position and language affect persuasion in online conversations.

A fresh approach improves identification of fake accounts on social media.

New methods to assess privacy risks in social networks, considering distant connections.

Learn how new methods help identify fake news effectively.

A proposed framework aims to tackle flaky tests in software development.

A method to detect systematic failures in multimodal models before real-world use.

New techniques improve how teams prioritize software needs effectively.

Learn how DAT aids in efficient data management.

This article examines how ChatGPT evaluates user story quality in Agile development.

Discover how data architecture transforms visitor interactions at cultural sites.

Evaluating how environmental changes affect image recognition model performance.

Learn the basics of building applications in the cloud.

A new method enhances text-to-speech quality and emotional expression.

Techniques to reduce model size while preserving performance are emerging.

New model mimics analog phasing effects with improved learning techniques.

A new model reduces size while improving multilingual speech recognition.

A new method improves speech recognition accuracy for African accents.

A new system improves speech recognition in multi-speaker settings.

LipVoicer generates clear speech from silent videos using advanced lip-reading methods.

New methods aim to improve communication for individuals with dysarthria.

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.