Computer Science

A method to help models predict unseen classes without extensive retraining.

A platform for studying advanced language models in social contexts.

A fresh method improves machine reasoning in visual puzzles using RPM.

This study introduces a method to reduce bias in machine learning models.

Exploring the impact of quantum methods on sentiment analysis in finance.

This article discusses new threats to deep neural networks from bit-flip attacks.

New techniques improve solution speed in combinatorial optimization using progressive distillation.

Bio-SIEVE enhances efficiency in medical systematic reviews using AI language models.

Exploring the impact of quantum methods on sentiment analysis in finance.

Bio-SIEVE enhances efficiency in medical systematic reviews using AI language models.

This article explores a new model for speech intent and slot identification.

MC-DRE framework improves identification of drug-related events through multi-aspect integration.

This article examines the difficulties in replicating machine translation study results.

New model HyperFormer improves predictions in hyper-relational knowledge graphs.

A look at new methods for assessing chatbot responses effectively.

A new method enhances the accuracy of text generated from knowledge graphs.

Study of moving tokens between minimum separators in graphs using sliding and jumping models.

Research focuses on efficient algorithms for k-factors in graph theory.

This article examines the complexity of counting the Brouwer degree in polynomials.

Research reveals complex low-energy states in fermionic Hamiltonians, challenging current quantum theories.

New methods enhance the verification of quantum random sampling outcomes using trapped ion systems.

Introducing a fresh approach to calculating VC dimension for better model training.

Exploring the impact of random walks on algorithms and complex systems.

A fresh look at functions using discrete ordinary differential equations.

Assessing ChatGPT's impact on market sentiment in forex trading.

A method for precise temperature control in materials through flatness-based techniques.

A new method improves accuracy in predicting dynamic loads on long-span bridges.

New methods improve data analysis efficiency for LHC scientists.

New reactor designs improve mixing and heat transfer efficiency.

A new approach enhances material behavior predictions using small-scale calculations.

A look into THB-splines and B ezier extraction for better design.

Introducing SA-ALAE, a model transforming engineering design generation.

A study on efficiently spacing points in two-dimensional space.

Examining how committees can effectively handle candidate failures in elections.

This paper presents a novel approach for comparing complex scalar data.

Research on edge crossings in topological graphs reveals important structural insights.

A novel method improves realistic 3D models from limited data.

Explore methods to create clear right-angle crossing drawings with minimal bends.

A new algorithm improves the estimation of homology from noisy data points.

Learn how to estimate scalar curvature using a new intrinsic method.

Explore how contracts can be structured to influence agent behavior effectively.

A look at how campaigns use data to influence district fairness.

Examining how committees can effectively handle candidate failures in elections.

Examining the impact of shared randomness on costs in network congestion games.

Examining the importance of equitable product presentation in digital marketplaces.

Introducing VISER, a new approach for games with uneven information distribution.

This study analyzes the potential for MEV in Ethereum's Layer 2 networks.

A new method replaces randomness in decision-making with strategic games.

A new framework enhances flood monitoring using satellite imagery.

A fresh method improves machine reasoning in visual puzzles using RPM.

This article discusses new threats to deep neural networks from bit-flip attacks.

A new method enhances future position predictions for autonomous vehicles.

DFM-X improves neural networks by addressing shortcut learning through frequency insights.

This article explores a new model for speech intent and slot identification.

CycleAdapt enhances accuracy in reconstructing human shapes from video data.

Assessing self-supervised learning methods for improving medical imaging diagnostics.

This study introduces a method to reduce bias in machine learning models.

Examining fairness in machine learning to reduce bias in critical sectors.

AIGC is changing content creation in China and beyond.

A look into improving quality and efficiency in electronic exams.

ProofBuddy aids students in mastering mathematical proof skills using the Isabelle proof assistant.

This article reviews how the pandemic changed shelter access and use patterns.

Examining the costs and benefits of personalized medicine in limited-resource hospitals.

A new method improves fairness in generative models without requiring original datasets.

Examining how GitHub's Copilot impacts code security for developers.

A study on MEV and arbitrage strategies in Algorand's unique blockchain system.

This article discusses new threats to deep neural networks from bit-flip attacks.

Post-Quantum Cryptography develops new methods to protect data from quantum attacks.

This study uncovers what drives trust in anonymous credential systems.

New methods improve the detection of hidden messages in video files.

A look at machine learning's role in combating cyber threats.

Automated tools enhance penetration testing through AI integration and task management.

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

This study introduces a new method for detecting frequent subtrees in tree data.

Exploring methods for maximizing complex mathematical functions under certain constraints.

Explore effective methods for optimizing resource allocation using matroid concepts.

Learn how agents explore unknown graphs while minimizing travel costs.

A fresh approach improves solutions for complex graph challenges.

Explore recent advancements in algorithms for the Knapsack problem and its implications.

Techniques for optimizing routes in the Traveling Salesman Problem enhance efficiency and reduce computation time.

This framework helps developers find and fix bugs in machine learning models efficiently.

Understanding provenance helps ensure scientific findings are accurate and reproducible.

A model to improve data transparency in dashboards through provenance information.

A model to simplify data regulation compliance for organizations.

New system simplifies formatting rules with user examples.

OpenMP simplifies parallel programming, promoting efficiency and speed in complex computing tasks.

Research shows column-stores improve recursive query performance significantly.

This method enhances performance and reliability in database transactions.

A look at how academics present co-authors on online profiles.

Introducing a structured approach to improve peer review processes in academic publishing.

Examining the relationship between handwriting changes and emotional expressions in diary entries.

A guide to enhancing knowledge acquisition from scientific papers using ORKG.

Hope shapes our lives, encouraging resilience and positive actions.

CRUISE-Screening simplifies the literature review process for researchers.

Introducing a multi-representation approach for better understanding scientific literature.

New methods assess how research challenges existing knowledge.

This article discusses properties of directed graphs and their dicoloring methods.

Learn how agents explore unknown graphs while minimizing travel costs.

A look into minimizing transportation costs using graph theory.

Introducing a teaching language for discrete mathematics with a focus on functional programming.

Study of moving tokens between minimum separators in graphs using sliding and jumping models.

A new algorithm improves graph cuts for efficient data clustering.

Learn the significance of metric dimension in directed graphs and its applications.

An overview of graph matchings, types, and their significance in various fields.

QMCPACK improves software practices for reliable scientific results in high-performance computing.

An overview of issues in carbon emissions and renewable energy agreements.

Enhancing data pipelines can improve deep learning recommendation systems' performance.

Web 3.0 changes online interaction, giving users more control over their data.

A new attack shows risks to patient data safety in federated learning systems.

A new system promotes user cooperation and reduces selfish behavior in networks.

R-AdWOrch model enhances edge computing in critical systems for timely responses.

OpenMP simplifies parallel programming, promoting efficiency and speed in complex computing tasks.

A new method enhances optical computing by improving training efficiency and performance.

A new framework, SerIOS, improves hardware security in optoelectronic systems.

Learn the basics of how quantum computing works.

Exploring the potential and challenges of optical neural networks using light for computation.

Optical computing uses light to offer faster processing and energy efficiency.

A fresh approach safeguards quantum code and output from unauthorized access in cloud services.

A new method enhances qubit mapping by focusing on single-qubit gates.

New quantum methods aim to improve particle track reconstruction efficiency at the LHC.

A look into omega-regular reward machines for better AI learning.

Innovative methods for testing complex pushdown reactive systems to ensure reliability.

EduSAT simplifies learning Boolean concepts with practical tools and interactive features.

An overview of matching patterns with variables in computer science.

A look into static analysis, CFL reachability, and their implications in computing.

A new approach to computing reachability probabilities in complex systems with infinite states.

Exploring the interactions and behaviors in layered cellular automata systems.

This work introduces innovative techniques for managing complex reactive programs effectively.

A study evaluates open-source and commercial tools for heart image rendering.

A model to improve data transparency in dashboards through provenance information.

A new model that synthesizes human motion across various tasks efficiently.

Simplifying 3D modeling with intuitive language-based controls.

A new method automates mesh generation for CFD, improving speed and accuracy.

Mirror ball projections provide new ways to monitor challenging environments.

MIPS-Fusion improves RGB-D reconstruction with efficient tracking and mapping techniques.

New voxel-based methods enhance brain imaging visualization and transparency.

Post-Quantum Cryptography develops new methods to protect data from quantum attacks.

Web 3.0 changes online interaction, giving users more control over their data.

Study reveals how chip orientation influences SRAM-based PUF performance.

Exploring the use of FPGAs in analyzing heart signals for improved diagnosis.

SEER automates efficient hardware design from high-level software programs.

A new framework combines reinforcement learning and optimization for better task scheduling.

Ramulator 2.0 enhances memory research with a modular, fast simulation tool.

A new framework simplifies the design of machine learning accelerators for improved performance.

A new approach enhances user experience in creating regular expressions.

This study uncovers what drives trust in anonymous credential systems.

A system that suggests meals considering personal feelings and nutritional needs.

Learn how visual tools aid in combining diverse datasets effectively.

A study evaluates open-source and commercial tools for heart image rendering.

New method improves robots' ability to understand human perspectives.

Understanding provenance helps ensure scientific findings are accurate and reproducible.

The BiHeartS dataset offers insights into sleep behavior and quality measurement.

Researchers are improving music retrieval by combining different data types through contrastive learning.

Context-awareness enhances the accuracy of forecasting future events significantly.

Enhancing data pipelines can improve deep learning recommendation systems' performance.

CDR strategy improves recommendations by filtering out harmful data imputation.

Assessing ChatGPT's impact on market sentiment in forex trading.

This study examines how offline evaluation metrics predict online success for recommender systems.

Examining recent advancements in POI recommendation systems from 2017 to 2022.

A look at how academics present co-authors on online profiles.

A look at the Independent Fluctuating Two-Ray model for wireless communication.

Leveraging deep learning to improve error correction in telecommunications.

A new approach enhances drone swarm communication using mobile relay drones.

New system enhances wireless communication and sensing capabilities.

A new approach to enhance satellite communication performance and manage interference.

ISAC combines sensing and communication for smarter technology applications.

This article discusses managing communication noise in federated learning for better model performance.

Examining trade-offs in deep learning applications for wireless systems.

This paper presents a tool for explaining missing logical conclusions in ontology systems.

ProofBuddy aids students in mastering mathematical proof skills using the Isabelle proof assistant.

A look into complex proofs and their structures within parsimonious logic.

EduSAT simplifies learning Boolean concepts with practical tools and interactive features.

A look into the connection between W-types and formal topology in mathematics.

A new programming language focuses on dimensions to improve scientific modeling.

Examining the role of definite descriptions in knowledge and reasoning.

New methods in Description Logics allow for richer knowledge representation and reasoning.

Analyzing how training and test data similarity impacts uncertainty in model predictions.

A method to help models predict unseen classes without extensive retraining.

A fresh method improves machine reasoning in visual puzzles using RPM.

This study introduces a method to reduce bias in machine learning models.

This article discusses new threats to deep neural networks from bit-flip attacks.

Researchers leverage machine learning to improve zeolite synthesis methods and outcomes.

New improvements adapt machine learning models to noisy, irregular data.

A new framework improves patient outcome predictions using diverse medical data.

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.

CDL aids in studying permutations and arrangements in computer and social sciences.

A study reviewing different formulations for cutting shapes efficiently.

New methods simplify complex polynomial optimization challenges for better solutions.

Combining JAX and Firedrake enhances numerical methods for solving partial differential equations.

Research improves convergence rates for average consensus in various networks.

HAMDPO improves multi-agent learning for diverse environments and tasks.

Using large language models to enhance agent-based simulations of social interactions.

Examining how individual actions shape group behaviors in animals.

Introducing a structured approach to improve peer review processes in academic publishing.

A new framework enhances agent decision-making by focusing on timing.

Strategies for agents to collaborate effectively despite information limitations.

Exploring cognitive models to improve agent coordination and decision-making.

New methods improve the detection of hidden messages in video files.

A method to translate skull images into realistic animal representations using text prompts.

New methods improve event detection in streaming videos using language and historical data.

A novel approach improves detection of harmful memes using targeted questioning.

Explore the emotional ties between music and images with the EMID dataset.

This research links brain activity to visual perception by reconstructing images from EEG signals.

Discover the impact of visual grounding in language and image interactions.

A new method enhances efficiency in video recognition using audio and visual data.

A look at machine learning's role in combating cyber threats.

Web 3.0 changes online interaction, giving users more control over their data.

A new method enhances UAV participation in federated learning while protecting privacy.

A new method enhances task distribution and routing in edge computing environments.

A new method improves network traffic management while protecting user privacy.

RIFO optimizes packet scheduling for efficient data flow in networks.

Analysis of unexpected DNS query patterns and their impact on internet operations.

New methods improve data gathering in remote areas for virtual reality applications.

FeatGeNN innovates feature generation, enhancing machine learning model performance.

Exploring the potential of Natural Evolution Strategies in variational inference models.

Introducing reversible SNN nodes for efficient training and memory use.

A new model integrates U-Net and Spiking Neural Networks for efficient image tasks.

SpikingBERT combines spiking neural networks with language tasks for better energy efficiency.

Research on reservoir computing focuses on optimizing network designs for improved machine learning.

ReLiCA algorithm simplifies model creation using Cellular Automata rules and effective settings.

Examining how brain learning principles can enhance machine learning algorithms.

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

A look into beam stability, damping, and design methods for structures.

New improvements adapt machine learning models to noisy, irregular data.

This article presents a new approach to viscous dissipation in natural convection.

A new approach enhances simulation efficiency for fluid dynamics.

Exploring the behavior of electromagnetic waves in changing materials and its implications.

A new method improves global sensitivity analysis using fewer data samples.

Explore how reactive transport modeling aids in environmental science and energy extraction.

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 look at new systems improving insulin delivery and blood sugar monitoring.

A look into the advancements and challenges in modern storage systems.

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.

Discover how DNA could change the future of data storage.

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

Enhancing data pipelines can improve deep learning recommendation systems' performance.

Learn how to measure the effectiveness of digital advertising campaigns.

Research shows column-stores improve recursive query performance significantly.

A look into best practices for improving system reliability under load.

A framework to accurately measure energy use in deep learning systems.

A study on the performance of three genetic algorithms in software refactoring.

A new method enhances agents' decision-making in changing environments.

Streamline causal analysis using Tetrad combined with Python and R.

A new type system aims to prevent data races in programming.

A new tool empowers users to understand AI decisions through counterfactual explanations.

Introducing a teaching language for discrete mathematics with a focus on functional programming.

Modular design enhances the efficiency and scalability of program synthesis.

SEER automates efficient hardware design from high-level software programs.

This article discusses enhancing AI learning through higher-order abstractions for efficiency.

A new programming language focuses on dimensions to improve scientific modeling.

New methods ensure camera pose accuracy in critical applications.

Introducing CoverNav, a method for robots to find hidden paths in outdoor areas.

EquiDiff model enhances vehicle trajectory prediction for self-driving cars.

New method improves robots' ability to understand human perspectives.

AerialVLN improves drone navigation using language and visual data.

This article discusses enhancing 3D predictions for robots using knowledge about object relationships.

A new model that synthesizes human motion across various tasks efficiently.

New methods help robots complete household tasks accurately and efficiently.

A platform for studying advanced language models in social contexts.

An improved model for analyzing connections in bipartite networks.

This article discusses methods for improving knowledge graph completion using GNNs and rule-based approaches.

A look at how academics present co-authors on online profiles.

Learn how connection diversity reveals insights in various networks.

A look at modularity and its role in understanding community structures in networks.

New algorithms improve accuracy in detecting overlapping communities in networks.

A new approach significantly boosts the efficiency and accuracy of subgraph counting.

Examining how GitHub's Copilot impacts code security for developers.

A new tool enhances WeChat testing efficiency by adjusting wait times during replay.

Refactoring improves code structure and readability, ensuring long-term software maintainability.

QMCPACK improves software practices for reliable scientific results in high-performance computing.

This framework helps developers find and fix bugs in machine learning models efficiently.

Automated tools enhance penetration testing through AI integration and task management.

A tool that improves accuracy in NER systems through automated testing and repairs.

CupCleaner enhances comment updating by cleaning datasets for better AI model training.

This article explores a new model for speech intent and slot identification.

As voice cloning technology advances, reliable detection methods are crucial.

A study enhances ASR for older speakers, using innovative techniques.

BASS improves summarization of long audio by processing in blocks.

New methods pose serious security risks for speech recognition technology.

ivrit.ai provides vital resources for enhancing Hebrew ASR technology.

Innovative techniques are transforming how we translate spoken language.

New methods aim to hide speaker identities while maintaining speech clarity.

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

Combining machine learning with reasoning to improve decision-making capabilities in dynamic environments.

Language agents merge AI and decision-making for real-world tasks.

FMplex improves the efficiency of solving linear equations and inequalities.

Study of yeast kinases sheds light on cell signaling.

Exploring the need for safety and trust in AI systems.

LogicMP improves neural networks by integrating logical reasoning for better predictions.