Computer Science

HiddenSinger improves singing voice quality using advanced AI techniques.

Researchers employ Graph Convolutional Networks to analyze speech patterns for better depression detection.

New method tests AI model explanations against human-understandable concepts.

DUBA is an advanced method for stealthy backdoor attacks on AI models.

Examining the risks of data poisoning in SplitFed Learning applications.

This study investigates the role of state representations in reinforcement learning.

A novel technique for grouping images based on visual similarities without labels.

A method to pinpoint causal factors in robotic interactions with environments.

Automating cancer data extraction to enhance research efficiency.

Researchers employ Graph Convolutional Networks to analyze speech patterns for better depression detection.

AI chatbots are transforming medical imaging by enhancing efficiency and communication.

A new method for improving how systems track user intentions in conversations.

New methods improve prompt generation for better task performance in language models.

Research on enhancing tagging systems for user-generated content.

A new approach improves argument analysis by recognizing task similarities.

Alberti offers innovative solutions for analyzing poetry in multiple languages.

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

Examining how interactions over time influence disease spread in communities.

A new wavelet-based quantum approach enhances efficiency in solving partial differential equations.

Exploring matroid connectivity and its implications for quantum computing.

Exploring composition theorems and property testing in large datasets.

Examining how combining Boolean functions affects their complexity measures.

Exploring quantum proof systems that lack relative phase in validating statements.

A look into the Uhlmann Transformation Problem and its significance in quantum information.

Automating cancer data extraction to enhance research efficiency.

Exploring the hybridized discontinuous Galerkin method for fluid dynamics.

A novel approach using tridiagonal systems for effective noise reduction in data analysis.

This study examines low-porosity structures inspired by biological designs for energy absorption.

This study examines the role of ML in enhancing metal additive manufacturing processes.

Learn how companies utilize viral marketing to gain market share.

A framework for improving data selection with limited training samples.

A look into how brain regions communicate using Dynamic Causal Modelling.

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.

New algorithm estimates Chamfer distance faster and more accurately for large datasets.

This study optimizes the location of preferable and undesirable facilities.

A new framework enhances data analysis by addressing multiparameter challenges.

New methods for faster solutions to TSP and MST problems.

Introducing CongestEXP, an algorithm improving player decisions in shared resource scenarios.

Learn how companies utilize viral marketing to gain market share.

This paper examines how false information affects player decisions in noisy games.

A new method aims to enhance peer reviews by collecting authors' self-rankings.

A look at approval voting methods and their implications on group decisions.

Triangle fees adjust based on trade size, improving efficiency for traders.

A new approach to fairly reward data contributions in federated learning.

Explore strategies in two-player games with shared resources and different information.

AI chatbots are transforming medical imaging by enhancing efficiency and communication.

A new method enhances how computers process imperfect images.

Introducing MaKeGNN, an efficient approach to improve image feature matching accuracy.

A novel technique for grouping images based on visual similarities without labels.

Enhancing large language models with multimodal scientific instruction.

A new transformer-based method improves segmentation of 3D meshes for various applications.

MVDiffusion creates realistic images from text with multiple consistent viewpoints.

GPnP offers diverse image outputs for clearer reconstructions in various fields.

Examining the role of AI chatbots in shaping educational assessments and learning.

A study on the healthcare challenges faced by nursing home residents in the Basque Country during the pandemic.

Transcripts enhance understanding of educational videos, addressing audio quality issues.

Addressing reproducibility challenges in computational social science through open practices and structured methods.

A new approach for arborists uses drone and satellite data for better tree maintenance.

Study assesses accuracy of land cover maps for agricultural monitoring in Sub-Saharan Africa.

Players escape a house while identifying a hidden killer among them.

A look at the growing issues of online harms and collaborative solutions.

DUBA is an advanced method for stealthy backdoor attacks on AI models.

IoTDevID provides a method for accurate identification of diverse IoT devices.

This paper discusses model extraction attacks and defenses in inference serving systems.

Empowering patients with control over their health data and ensuring privacy.

Examining local differential privacy within Thompson Sampling for better decision-making.

Understanding Hardware Trojans and their impact on electronic device security.

A tool to check personal information safety in large language models.

Addressing risks in hardware design through resilience and collaboration.

New framework boosts performance in prophet inequality scenarios through sharding and Poissonization.

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

Analyzing treewidth reveals insights into complex graph structures and algorithms.

Research on memory-efficient algorithms for Dominating Set and Vertex Cover in planar graphs.

New algorithms enhance accuracy in estimating distinct items while minimizing memory usage.

A new method focuses on reducing energy costs in multi-processor scheduling.

A new algorithm for the temporal vertex cover problem in dynamic networks.

A new branching method enhances efficiency in solving MILPs using GMI cuts.

Automating cancer data extraction to enhance research efficiency.

Introducing a new approach to benchmark datasets in entity resolution for better evaluation.

An overview of methods to predict image beauty using diverse datasets.

A solution for accessing data across different blockchains seamlessly.

Discover how APRIL improves spatial queries performance and efficiency.

A look into how Alibaba Workload Miner enhances database performance.

Utilizing LLMs can improve the analysis of business processes through simplified data abstraction.

New methods for efficient and accurate data transfer in complex question scenarios.

Analyzing research papers for accuracy through statistical methods.

This study aims to clarify repository duplications across multiple registries.

A new tool helps researchers collect text data from 4chan easily.

Researchers face challenges amidst an explosion of new scientific papers.

A system to categorize historical articles using roles and aspects.

This study enhances patent image classification using advanced deep learning techniques.

This article examines teamwork between schools and businesses in NLP.

A new dataset captures citations from papers without DOIs in Computer Science.

Learn how graph sparsification simplifies structures while retaining key characteristics.

Innovative algorithms offer faster solutions for finding paths in undirected graphs.

Exploring the role of curvature in understanding network connections and community detection.

Examining how interactions over time influence disease spread in communities.

A look into colored mixed graphs and their relationships.

A look into codes in graphs and their roles in various fields.

Leveraging LLMs to clarify complex supply chain optimization results.

A look into Ramsey numbers and their significance in graph theory.

A novel approach to personalized recommendations in decentralized networks.

A solution for accessing data across different blockchains seamlessly.

Exploring the importance of reproducibility in generative AI systems.

FedInit improves device collaboration in federated learning by addressing client drift.

Addressing risks in hardware design through resilience and collaboration.

Invariant Dropout improves training efficiency by managing device performance variations.

A new method optimizes video frame analysis on edge devices.

Examining the Tit-for-Token framework for equitable resource sharing.

A new system mimics brain functions for efficient learning and processing.

Exploring thermodynamic binding networks for better detection of small molecules.

This study presents a deterministic method for efficient and accurate stochastic computing.

Molecular communication opens new ways to transmit information using tiny molecules.

New method reveals overlooked energy challenges in MAGIC design for memristors.

A look at how in-memory computing is changing data processing.

New methods improve the accuracy of nanodevices in medical applications.

New flexible memristors can mimic neuron behavior through mechanical pressure.

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

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

Efficient techniques for improving Earley parsing in natural language processing.

New methods improve the handling of string constraints in programming.

New algorithm greatly improves efficiency in simulating labeled transition systems.

This article discusses efficient methods for verifying lock-sharing systems against potential issues.

A new approach to evaluate the performance of probabilistic programs using VASS.

Examines safety and liveness concepts in quantitative automata for system verification.

A new transformer-based method improves segmentation of 3D meshes for various applications.

A new approach improves digital stippling by merging techniques for better art.

SketchMetaFace helps beginners create 3D faces easily and quickly.

Transform simple text into captivating animated images effortlessly.

New algorithm estimates Chamfer distance faster and more accurately for large datasets.

New technologies improve maintenance of solar panels for better energy output.

A new method enhances real-time rendering for glossy surfaces in dynamic lighting.

A new method creates realistic videos by mimicking facial expressions from self-scans.

Understanding Hardware Trojans and their impact on electronic device security.

Addressing risks in hardware design through resilience and collaboration.

Introducing Chiplet Cloud to support large language models efficiently and cost-effectively.

NeuroBlend optimizes neural networks for efficiency and speed on hardware devices.

New techniques in digitization improve efficiency in deep learning and data processing.

A look at how in-memory computing is changing data processing.

Discover how SNNs and FPGAs create efficient AI solutions.

A method to secure NoC layouts against unauthorized access is proposed.

FeedbackBuffet uses AI to provide tailored writing feedback for improvement.

SketchMetaFace helps beginners create 3D faces easily and quickly.

Examining how hybrid work impacts interactions and collaboration in the office.

A detailed look at driver gaze estimation methods and their impact on safety.

Innovative approaches can help chatbots engage users more effectively.

A new method speeds up data labeling and model training.

Exploring the role and challenges of branching in CAD design.

A look at the growing issues of online harms and collaborative solutions.

This research introduces a system for matching music to video content effectively.

A dataset transforming how businesses choose store locations across major cities.

Analyzing research papers for accuracy through statistical methods.

Learn about the Causal Video Summarizer and its benefits in video summarization.

This research highlights new methods for effective video summarization based on user queries.

A novel method for analyzing connections in multiple networks simultaneously.

A framework that improves ad combinations for higher user engagement.

A look at how LLMs improve user recommendations in various platforms.

R-PMAC enhances data communication efficiency in industrial settings.

New methods improve communication in crowded networks using meta-learning.

New methods aim to enhance communication in diverse teams by clarifying context.

Reliability is crucial for effective wireless communication across important applications.

A new method improves DNA compression for efficient data storage.

This article discusses improving communication efficiency in multiple access channels with feedback.

Drones improve secure wireless communication while addressing eavesdropping threats.

A study on the effectiveness of mutual information estimators in differing data scenarios.

A look into first-order logic enhanced by data management.

A look at how structured variable addition improves problem-solving efficiency.

This paper unveils a framework for Godel-Dummett logics using nested sequent systems.

A look into how quantum mechanics transforms information processing.

A look at common meadows and their role in arithmetic error management.

Explore the role of categories and applicative structures in mathematics and computer science.

This article discusses efficient methods for verifying lock-sharing systems against potential issues.

A look into safety analysis in distributed systems using non-blocking rendezvous.

Discover recent insights into efficient optimization methods and their practical applications.

New methods enhance predictions of protein folding and behavior using machine learning.

New method tests AI model explanations against human-understandable concepts.

AI chatbots are transforming medical imaging by enhancing efficiency and communication.

New techniques improve heart models for personalized patient care.

DUBA is an advanced method for stealthy backdoor attacks on AI models.

Examining the risks of data poisoning in SplitFed Learning applications.

New methods improve prompt generation for better task performance in language models.

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.

MindOpt Tuner optimizes numerical software performance by automating hyperparameter adjustments.

Exploiting GPUs to tackle complex assignment challenges in logistics and manufacturing.

Open-source toolkit enhances Raman spectroscopy analysis across various studies.

Teaching machines to predict beliefs of others boosts teamwork and performance.

Exploring the potential of wireless networks enhanced by generative AI technology.

A new approach improves the execution of multiple trading orders efficiently.

MARBLER aids researchers in testing teamwork among robots in realistic settings.

A new text-based environment helps machines learn real-world tasks using scripts.

A new model improves predictions for systems with multiple interacting agents.

Miners enhance rewards through strategic connections and reduced latency.

A look into safety analysis in distributed systems using non-blocking rendezvous.

This research introduces a system for matching music to video content effectively.

Discover the evolving Metaverse and its impact on communication and economy.

Transcripts enhance understanding of educational videos, addressing audio quality issues.

SEPT improves wireless transmission of 3D point clouds using deep learning.

This dataset aims to improve video news retrieval across five languages.

New methods enhance how models select frames for answering questions from videos.

A new method enhances video call quality while saving bandwidth.

A method for creating artistic line drawings from photographs with user control.

IoTDevID provides a method for accurate identification of diverse IoT devices.

Examining global DNS hosting and its effects on national control and security.

Digital Twin technology is reshaping wireless networks for better performance and reliability.

Examining the integration of O-RAN and V2X for improved vehicle communication.

This study examines the impact of character interactions on TV show ratings.

This article discusses using HRL to enhance O-RAN performance and efficiency.

Web3 empowers users with control over data and online interactions through decentralization.

Examining the Tit-for-Token framework for equitable resource sharing.

Using real-time data to improve disease outbreak predictions.

MOVE offers an innovative approach to balance multiple goals in optimization tasks.

This study examines resource sharing and energy transparency in software engineering research.

Exploring vulnerabilities in AI models due to deceptive imagery.

Discover how SNNs and FPGAs create efficient AI solutions.

A new model improves predictions for systems with multiple interacting agents.

New methods improve accuracy and efficiency in spiking neural networks.

New methods enhance the accuracy of company valuation through AI-driven peer identification.

Discover recent insights into efficient optimization methods and their practical applications.

Streamline complex problem simulations using reduced order models and effective management strategies.

New techniques improve heart models for personalized patient care.

Exploring the hybridized discontinuous Galerkin method for fluid dynamics.

Improved techniques enhance stability and accuracy in solving conservation laws.

Explore how V-cycle methods enhance efficiency in solving complex mathematical problems.

This article presents a method to estimate errors in finite element analysis using a Bayesian approach.

A new method cuts memory costs for advanced optimizers in machine learning.

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.

This article reviews Linux API usage in various applications and highlights key findings.

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.

Researchers create digital copies of animals for ethical and efficient studies.

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.

New tools make it easier to run powerful language models on standard hardware.

This article reviews methods for detecting anomalies in vehicle CAN communication.

A new method enhances GPU setups for fluid dynamics simulations via machine learning.

Optimizing sparse tensor operations for improved performance and efficiency.

A look at methods improving the training of language models effectively.

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

A solution for accessing data across different blockchains seamlessly.

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

A look at improving efficiency in automatic differentiation for machine learning models.

Scenic 3.0 enhances modeling for systems like self-driving cars with 3D capabilities.

A new framework allows tailored synthetic data generation to meet varied organizational needs.

Combining AI and verification tools enhances router configuration accuracy and reduces manual work.

A look at new subtyping methods for context-free session types in programming.

This article examines how ARMoD enhances interactions between robots and humans.

A new method improves object classification for autonomous ships by estimating uncertainty.

Introducing a method for robots to safely navigate crowded environments.

3D-printed fingerprints enhance robotic touch sensitivity for improved interaction with objects.

Examining how humans and robots collaborate in operating articulated machines for timber harvesting.

S-Nav enhances mobile robot navigation using advanced path planning techniques.

A new framework boosts skill learning for AI agents through hierarchical approaches.

New control methods improve performance of flying robots in challenging environments.

Exploring the growth and trends of digital fashion in Decentraland.

GDGESN improves the analysis of how information and diseases spread.

Using real-time data to improve disease outbreak predictions.

A new algorithm for the temporal vertex cover problem in dynamic networks.

This study examines the impact of character interactions on TV show ratings.

Examining gender imbalances in collaboration and leadership within the ballet industry.

SpreadDetect effectively tracks changes over time in complex data sets.

A novel method for analyzing connections in multiple networks simultaneously.

Flexible web tools transform the modeling landscape for developers and users.

Explore how NLP and LLMs transform programming tasks.

A study on the complexities of bugs across multiple programming languages.

Making privacy policies easier to read and understand for mobile app users.

A new approach improves performance in diverse computing systems.

New open platforms aim to improve Federated Learning through user collaboration.

This study examines resource sharing and energy transparency in software engineering research.

Examining the role of code reviews in identifying software security defects.

HiddenSinger improves singing voice quality using advanced AI techniques.

New methods improve speech clarity for electrolarynx users.

Researchers blend visual and sound features to improve speech for electrolarynx users.

A study highlights how ageing affects automatic speaker verification performance.

PauseSpeech enhances TTS systems with natural-sounding speech through improved pausing.

This research introduces a system for matching music to video content effectively.

New methods improve automatic speech recognition performance amid background noise.

A new method optimizes speech models for better performance with fewer resources.

New model improves how knowledge graphs represent concepts and entities.

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

Explore the role of Gröbner bases in solving polynomial equations.

Learn how simplifying regular expressions can enhance their clarity and efficiency.

Techniques to assess security properties of cryptographic protocols.

This article discusses enhancing machine learning models using polynomial data balancing and augmentation.

Learn about creative telescoping for calculating definite sums efficiently.

This article discusses the finite expression method for solving complex state transitions.

R-PMAC enhances data communication efficiency in industrial settings.

Creating safe and efficient air transportation in cities requires careful planning.

A look at how backward reachability helps manage complex systems safely.

New methods improve stability assessment for wind energy integration.

A new model enhances decision-making under delayed information for multiple agents.

A new method improves speed and accuracy in solving inverse source problems.

A look at the innovative axial flux braking system for light motor vehicles.

A new approach improves performance in diverse computing systems.