Computer Science

This article discusses the impact of missing data on clinical research findings.

Exploring methods to maintain knowledge in machine learning systems.

This article discusses the importance of accurate dialogue summarization and error detection methods.

This paper discusses the challenges and opportunities of open-source LLMs in tool manipulation.

AD-NEv framework enhances anomaly detection through innovative approaches.

A new dataset and method enhance 3D analysis of human movements.

BMC supports efficient learning across multiple tasks while retaining past knowledge.

A new method for effective design improvements through complex questioning.

This article examines how noise affects morphological inflection model performance.

Study reveals how names influence biases in AI systems.

This paper investigates how language models approach hypothetical scenarios and reasoning.

Exploring methods to maintain knowledge in machine learning systems.

This article discusses the importance of accurate dialogue summarization and error detection methods.

New pre-training strategies enhance text classification without prior label training.

Evaluating user trust in chatbots and their misleading answers.

This paper discusses the challenges and opportunities of open-source LLMs in tool manipulation.

New methods improve efficiency in solving complex interval algebra problems.

A look at organizing partially ordered events in computer science.

Local search methods provide effective solutions for graph partitioning challenges.

A look into the Closest String problem and its applications in various fields.

Celebrating the life and impact of Ted Swart on his students and colleagues.

A breakdown of bucket elimination and its role in solving satisfiability challenges.

This article examines the difficulties in quickly simulating Hamiltonians in quantum systems.

A look at the role and efficiency of dictionaries in data management.

A new method improves car design evaluations through 2D representations.

This study presents innovative techniques for analyzing brain activity via fMRI.

A new method merges machine learning with finite element analysis for thermoelasticity.

This method simplifies design while enhancing manufacturing efficiency.

Researchers improve heat transfer analysis using GPUs and DSL for faster calculations.

New tools simplify FEM, making it easier to tackle complex shapes.

A new approach to maximize profits from battery storage in renewable energy markets.

A new method improves stock trading predictions using synergistic alpha factors.

TrueKNN improves neighbor search by dynamically adjusting the search radius.

A method for analyzing complex point data using 2-complex structures.

A look into the Closest String problem and its applications in various fields.

A new method enhances how we process complex data by recognizing symmetries.

AUC-opt aims to enhance the Area Under the ROC Curve for classification models.

A look into the Steiner Tree problem and its applications across various fields.

A new method enhances how we compare geometric graphs efficiently.

A novel approach to efficiently list paths on polyhedral surfaces.

Examining fairness in distributing goods and chores among individuals with different needs.

This article examines regular distributions and their impact on economic modeling and pricing strategies.

A new approach to content ranking enhances stability for publishers and users.

Examining the impact of preference averaging in AI decision-making ethics.

A model for enhancing user satisfaction through strategic information sharing.

Study on agents' strategy improvement through non-Markovian rewards in competitive settings.

A systematic algorithm examines process behaviors, including silent actions for better analysis.

This article explores how language models enhance AI's strategic reasoning in games.

This study explores a new method for robots to handle doors using visual data.

A new method improves style transfer by incorporating depth data for realistic images.

A new dataset to study cattle behavior through video analysis.

A new dataset and method enhance 3D analysis of human movements.

New methods enhance diffusion models for better image and text matching.

A comprehensive look at different evaluation metrics for XAI methods.

PandaGPT empowers machines to process multiple information types for complex tasks.

This method embeds a universal signature in images to enhance detection.

FairDP offers a solution for ensuring privacy and fairness in machine learning systems.

This study evaluates the impact of personal and political biases on asylum rulings.

Examining how specificity and affect reveal bias in political communication.

This research analyzes how ML models on Hugging Face report carbon emissions.

Examining the importance of pronouns in machine translation systems.

A look at monitoring fairness in algorithmic decision-making.

A look at the importance of explainable AI in healthcare.

This study highlights the importance of context in interpreting memes.

This article explores the privacy implications of Gaussian Process Regression in machine learning.

FairDP offers a solution for ensuring privacy and fairness in machine learning systems.

A new model enhances detection of cyber threats in cloud environments.

A new method enhances anonymity in ring signatures for better security.

Examining the role of FPGA techniques in enhancing hardware security.

Exploring lattice-based cryptography's potential against quantum computing threats.

vFedSec offers secure, efficient training for machine learning models in federated settings.

A new model enhances vulnerability detection accuracy using deep learning techniques.

CARAMEL offers efficient storage and fast access for large data sets.

Examining methods to reduce the difference between two submodular functions in optimization.

Examining fairness in distributing goods and chores among individuals with different needs.

Local search methods provide effective solutions for graph partitioning challenges.

A look at new encoding methods for better data privacy.

DotHash improves set similarity estimation, offering fast and accurate results for large datasets.

New findings in mathematics reshape our understanding of random vectors.

A look into the Closest String problem and its applications in various fields.

CARAMEL offers efficient storage and fast access for large data sets.

Combining global and local merging techniques to improve data quality management.

Learn efficient methods to estimate key graph parameters in sparse graphs.

Introducing Alpha+++, a refined algorithm for better process discovery.

CardIndex combines indexing and cardinality estimation for faster, resource-efficient data handling.

AdapterEM enhances entity matching across diverse data formats efficiently.

A new system allows engineers to query space debris information using plain language.

Improving data discovery through innovative profiling and join quality assessment techniques.

A new approach helps researchers find relevant datasets using natural language.

A new method enhances the search for physical archival materials.

This article examines how citation habits in NLP have evolved over time.

A study on improving peer review quality through innovative assignment evaluation methods.

DeepScribe project enhances cuneiform tablet transcription using advanced machine learning techniques.

Orphan articles hinder knowledge access on Wikipedia, affecting visibility and representation.

A look at how citation inflation skews our understanding of scientific contributions.

Examining how national CSIRTs use public information and free tools for incident response.

Examining methods to reduce the difference between two submodular functions in optimization.

This paper examines the relationship between graphs and surfaces through map homomorphisms.

Explore the unique structure of -representations and their links to automata.

New findings in mathematics reshape our understanding of random vectors.

Exploring a novel model using group structures to analyze graph relationships.

A new method enhances routing and scheduling in time-dependent networks.

A look into the mechanics and applications of spiking neural networks.

New insights into Lee metric codes enhance data protection and error recovery.

A new approach enhances GNN training efficiency on large graphs using advanced techniques.

Collaborative UAV systems improve real-time data processing efficiency for various tasks.

A new method for verifying communication protocols in multiparty systems using automata.

Examining the links between persistent homology and directed spaces for concurrent programs.

A look into how smart cities manage resources while meeting strict limits.

GOC-Ledger simplifies digital asset management without consensus, offering speed and cost benefits.

Achieving interoperability among CBDCs to enhance transactions and trust in the financial system.

Exploring federated learning and the interior point method for effective model training.

New analog systems use light for faster, energy-efficient information processing.

Discover how quantum computing enhances clustering methods for better data analysis.

A new quantum algorithm speeds up power generation scheduling amid rising energy demands.

Examining how quantum computing enhances radar technology through ISLR optimization.

Memory-centric computing changes data processing by moving computation closer to data storage.

Exploring how the Zeno effect enhances Grover's algorithm for faster data searching.

Discover how dynamical Ising machines enhance problem-solving in complex optimization tasks.

TornadoQSim offers a modular framework for efficient quantum circuit simulations.

A new method for verifying communication protocols in multiparty systems using automata.

New live programming tools aim to simplify software modeling and enhance user experience.

Explore the unique structure of -representations and their links to automata.

Introducing a new model for effective real-time systems verification.

A new method for learning timed automata focusing on timing constraints.

Examining how delays impact strategies in competitive games.

Analyzing the role of decisiveness in Markov chains and probabilistic models.

chemSKI uses graphs and local rules to model complex systems efficiently.

Focus on audience experience to create engaging animations.

A new method to speed up ray tracing rendering significantly.

New methods improve 3D reconstruction of reflective surfaces using neural rendering techniques.

Exploring the walk-on-boundary method for efficient boundary value problem solutions.

Introducing a reliable method for assessing NeRF performance and quality.

Discover how neural path tracing and IPUs enhance graphic rendering.

A new method improves realism in character interactions within virtual spaces.

A fresh approach to generate high-quality animations from limited examples.

DeepGate2 enhances circuit representation learning for efficient electronic design automation.

Examining the role of FPGA techniques in enhancing hardware security.

Learn how dual-threaded processors enhance performance in various applications.

A new approach for running X3D model on FPGAs for efficient video analysis.

A new architecture improves MK polar code encoding for efficient communication.

A look at the benefits of heterogeneous SoCs for modern computing tasks.

RowHammer threatens data integrity in high-bandwidth memory systems.

An innovative hardware design for real-time learning in spiking neural networks.

A look at the role of procedural content generation in modern game development.

A look into hate raids and their impact on marginalized streamers.

Techniques to improve viewers' focus in animated biology processes.

A new method uses speech and images to identify surgical phases for better care.

A new system aids experts in managing urban planning and renaturation projects efficiently.

A new approach to align AI language models with societal norms through simulated interactions.

Examining the AMS algorithm's impact on job-seeker evaluations and public opinion.

Study reveals how UXPs can better collaborate using AI tools.

CARAMEL offers efficient storage and fast access for large data sets.

A new approach enhances recommendation systems through effective negative sampling techniques.

This research analyzes how ML models on Hugging Face report carbon emissions.

Clarification questions are essential for effective communication in conversational systems.

A new method for creating unique music versions by rearranging existing pieces.

This article discusses methods to enhance document relevance in sparse data environments.

A new approach to content ranking enhances stability for publishers and users.

A dataset designed to improve interactions between customers and salespeople in stores.

Drones play a key role in enhancing communication networks in various challenging environments.

A look at the role of procedural content generation in modern game development.

Combining polar coding with phase estimation enhances data transmission efficiency.

A look at generalization error and its significance in learning algorithms.

A new framework enhances vertical federated learning efficiency and privacy using Cloud-RAN technology.

New algorithms improve solutions for linear inverse problems in signal and image recovery.

Exploring feedback innovations to enhance 5G communication performance and reliability.

A method to count polar codewords with weights greater than the minimum.

Analyzing uncertainty through probabilistic models in various fields.

Examining how technology influences mathematical proofs and community understanding.

A look at constraint languages and their properties in solving CSPs.

Learn about forwarders and their impact on effective communication in systems.

A fresh approach to partitioning improves efficiency in tackling MaxSAT challenges.

A deep dive into infinite-state games and their applications in reactive systems.

Explore the advantages of automatic program instrumentation for software correctness verification.

An overview of premonoidal categories and their role in optics and computation.

A new approach to enhance safety in AI decision-making processes.

Exploring how signature transform enhances feature selection in Lasso regression.

This study explores a new method for robots to handle doors using visual data.

Exploring methods to maintain knowledge in machine learning systems.

A new method simplifies analysis of complex biomedical knowledge graphs.

This article explores the privacy implications of Gaussian Process Regression in machine learning.

A new framework aids in understanding AI decision-making with counterfactual explanations.

New benchmarks improve audio separation models for music and entertainment.

Blendstrings provide smooth, accurate function representations in various fields.

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.

Exploring new methods for designing control software in robot swarms.

Exploring how unique traits in swarm robots can enhance group behavior.

Multi-robot systems improve efficiency and reliability across various fields.

A look into how smart cities manage resources while meeting strict limits.

Generative agents are improving AI's ability to tackle complex tasks through dual-process thinking.

Study on agents' strategy improvement through non-Markovian rewards in competitive settings.

Federated learning improves model training while keeping user data private.

This study examines synchronization in networks with changing connections over time.

A look into hate raids and their impact on marginalized streamers.

A new method improves image compression by prioritizing human-friendly features.

This study highlights the importance of context in interpreting memes.

A new method for creating unique music versions by rearranging existing pieces.

A dataset designed to improve interactions between customers and salespeople in stores.

Introducing a modular method for zero-shot visual question answering.

A new method to better organize task steps with video insights.

Improving metrics for assessing deblurring methods using a new dataset.

A new approach uses Graph Neural Networks for better user pairing in wireless systems.

This study explores how network operators adapted during the Russia-Ukraine conflict.

Digital twins improve the management of satellite and drone communication networks.

A new framework enhances the detection of cyber attack paths.

T800 offers an efficient security solution for vulnerable IoT devices.

New models improve air-to-ground communication using federated learning and generative neural networks.

Generative models help address challenges in satellite communication by creating synthetic data.

Improving communication systems for connected and autonomous vehicles to boost traffic flow.

AD-NEv framework enhances anomaly detection through innovative approaches.

This research proposes optimizing individual neurons for enhanced AI performance.

New method improves Bayesian inference, tackling challenges of complex data.

A new model enhances understanding of belief systems in human cognition.

Examining the Forward-Forward algorithm and its potential to mimic biological learning.

EfficientLIF-Net reduces memory costs in SNNs while maintaining performance.

Learn how DT-SNN improves efficiency in neural networks.

Researchers use brain data to enhance AI learning and adaptability.

Cubic B-splines improve precision and flexibility in computational geometry.

A look at error estimation methods in least-squares and least-norm problems.

A new method simplifies brain mesh generation using image registration techniques.

New algorithms improve solutions for linear inverse problems in signal and image recovery.

This article discusses the use of Physics-Informed Neural Networks in solving quantum mechanics problems.

Explore the continuous AAA algorithm and its benefits in various fields.

A look at using least-squares methods to understand heat equations.

A look at the new -Chebyshev functions and their applications.

New method improves resource allocation for users with changing needs.

DVFO enhances energy efficiency and processing speed for edge devices in IoT.

Exploring the benefits of lookahead in semi-online task scheduling.

A model for better predictions of I/O operations in Linux environments.

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.

A new methodology enhances teamwork between software and hardware developers for better performance.

Reassessing how we classify and understand sequential circuits.

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.

TrueKNN improves neighbor search by dynamically adjusting the search radius.

Introducing the Multiple Comparison Matrix for clearer algorithm evaluation.

Learn how CPU-GPU systems improve fluid dynamics simulations.

A model for better predictions of I/O operations in Linux environments.

A new method enhances accuracy in software performance predictions using focused data groups.

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.

Analyzing uncertainty through probabilistic models in various fields.

A new method for verifying communication protocols in multiparty systems using automata.

Explore the challenges and solutions for concurrent programs in weak memory models.

Exploring term rewriting in parallel computation for efficient data processing.

Colored e-graphs improve logical reasoning by reducing memory use and increasing speed.

This paper presents a formal model for secure computations in C language.

A superoptimizer improves SIMD instruction performance in LLVM, boosting program efficiency.

A new graph representation enhances how machine learning analyzes programming languages.

Robots learn complex tasks faster using imitation and advanced planning techniques.

New strategies enhance robot landing safety and stability in various conditions.

OVO allows flexible prediction of object occupancy in 3D without extensive labeling.

Exploring new methods for designing control software in robot swarms.

Exploring how unique traits in swarm robots can enhance group behavior.

Multi-robot systems improve efficiency and reliability across various fields.

This study evaluates drone performance amid actuator failures.

New methods improve safety in robotics and autonomous vehicles.

A study on the role of centrality and cyclicality in economic interactions.

This study evaluates the impact of personal and political biases on asylum rulings.

This article explores how mathematical models guide vaccination strategies during epidemics.

NODDLE combines node2vec and deep learning for improved link prediction accuracy.

A new approach enhances recommendation systems through effective negative sampling techniques.

A look into hate raids and their impact on marginalized streamers.

DotHash improves set similarity estimation, offering fast and accurate results for large datasets.

A study reveals how Twitter's ranking system influences user feelings and political views.

A look at links in commit messages and their impact on development.

Research reveals key factors in log parsing impact on anomaly detection accuracy.

A new system improves incident resolution through automated root cause analysis.

Explore the advantages of automatic program instrumentation for software correctness verification.

Study investigates how documentation styles aid newcomers in grasping software architecture.

Learn how self-efficacy impacts software developers' performance and team dynamics.

This study examines the role of human values in software engineering and user experience.

Efficient summarization of Stack Overflow posts using deep learning techniques.

New benchmarks improve audio separation models for music and entertainment.

New method improves speech recognition models while reducing knowledge loss.

Exploring ASR performance across different accents and its implications.

A new method for creating unique music versions by rearranging existing pieces.

A new system enhances speech generation with high-quality outputs.

A new model improves voice recognition accuracy during emotional speech.

Learn how to effectively use FM and PM in sound design.

A novel method improves speech recognition tasks using less labeled data.

A method combining symbolic reasoning and neural networks for better decision making.

A new approach to improve accuracy in finding complex zeros of polynomial systems.

This article examines methods to show certain number sequences are positive.

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.