Computer Science

Trained dogs show potential in detecting seizure warnings through behavior.

Introducing UIPS to address challenges in off-policy learning through uncertainty.

Research reveals insights into how our brains perceive and recognize scenes.

Learn how robust autoencoders help restore damaged images effectively.

A new method improves technician scheduling and routing for cost-effective maintenance.

A new method enhances process mining by creating intuitive models from complex data.

A new model improves safety in autonomous vehicles through better collision detection.

A new method improves symbolic regression by combining models with strategic planning.

A new approach combines word sense and multiword expression identification.

Exploring the key stages of knowledge in pre-trained language models.

Discover how word embeddings transform language processing tasks.

This article investigates RNN models and their ability to learn diverse tasks.

Research explores methods to optimize BERT's performance while maintaining accuracy.

A new method improves sequence generation speed and quality.

A new method enhances machine understanding of speech and text connections.

MetaTroll adapts quickly to new influence campaigns on social media.

Discover methods to simplify Boolean formulas for better logical understanding.

Research on faster attention computations enhances language modeling efficiency.

Exploring the methods and applications of subset square colouring in graph theory.

Exploring how classical and quantum memory impact learning tasks and outcomes.

A look into the challenges of finding clusters in graphs.

A deep dive into circuit lower bounds and their significance in computational complexity.

New methods improve the accuracy of distinguishing quantum states in research.

Learn about the key aspects of quantum state synthesis and its applications.

New modeling technique improves accuracy and speed in simulating blood flow.

A new method improves vehicle communication and sensing efficiency.

A novel method to create accurate kidney vascular models for improved research.

This study examines how depreciating rewards affect decision-making in reinforcement learning.

A new approach that links design and simulation for better efficiency.

GDL helps engineers efficiently tackle design problems using graph structures.

An innovative approach to forecast stock price changes through image classification.

A new model improves groundwater predictions efficiently and affordably.

A study of symmetry in overlapping shapes reveals unique fractals and patterns.

An overview of Voronoi-like graphs and their practical uses.

A team works on covering complex polygons efficiently using convex shapes.

A novel method for analyzing shapes with consistency through graph neural networks.

Exploring the unique shapes and efficient pathfinding methods within portalgons.

Research advances methods for determining volumes of combined boxes in geometry.

Exploring universal point sets for various classes of planar graphs.

Teams showcase their strategies in a complex graph coloring challenge.

A new method protects player privacy while sharing information in network games.

A system for fair decision-making in funding public goods.

Discover how positioning in games affects resource selection and player interaction.

Learn how to share costs fairly within a group to maintain stability.

A study on agents learning to cooperate in uncertain environments.

Learn effective methods to minimize bias in hiring candidates from various universities.

A fresh approach to matching people through connections and preferences.

Strategies to estimate measurements while facing denial-of-service attacks.

Research introduces methods to boost deep learning model reliability against adversarial threats.

This article discusses the latest advancements in MVS and their challenges.

New framework enhances 3D scene learning, focusing on foreground objects for better accuracy.

New methods improve facial animation efficiency and realism in digital characters.

Research reveals insights into how our brains perceive and recognize scenes.

A look at how CASP-Net improves video saliency prediction using audio and visual data.

SADLR improves accuracy in identifying objects using language descriptions.

Sem-CS improves style transfer by preserving key image details and enhancing artistic expression.

A look at the creation and application of digital humans in the Metaverse.

Can changing school boundaries promote diversity in U.S. elementary schools?

FAIR principles improve data sharing in research, boosting collaboration and trust.

Revolutionary method improves the efficiency of matching educational exercises.

Privacy labels aim to simplify data practices for users but face accuracy challenges.

This article discusses achieving fairness in graph filtering while keeping effectiveness.

A look at equal treatment and outcomes in machine learning fairness.

AI systems in job recommendations must be fair and unbiased.

A new method leverages causality to guard against backdoor threats in deep learning models.

A new method protects player privacy while sharing information in network games.

Examining the intersection of differential privacy and optimization challenges.

DRAM technology faces challenges while researchers seek improvements in performance and reliability.

Exploring the cybersecurity threats faced by autonomous vehicles and the importance of LiDAR data protection.

New method improves defenses for multimodal models against data poisoning and backdoor attacks.

Exploring the future of secure and private digital payments.

A study on improving vulnerability management amidst incomplete reports.

Exploring Linear Combination of Unitaries for intermediate quantum computers.

A method for discovering varied minimum cuts in directed graphs for better decision-making.

Research on faster attention computations enhances language modeling efficiency.

This article discusses advancements in quantum algorithms for better query performance.

This study examines how multiple mutations influence population dynamics over time.

This article presents a model for signal movement in networks using double edged relays.

Exploring the unique shapes and efficient pathfinding methods within portalgons.

Research advances methods for determining volumes of combined boxes in geometry.

Discover a new approach to data integration using the Deep Tabular Transformer framework.

A method to improve data accuracy in knowledge bases by merging records and answering queries.

A new method for real-time analytics in rapidly changing data environments.

A framework to improve federated learning by separating data management from model training.

A new system enhances the speed of materialized view updates using efficient memory strategies.

New method improves query answering using relational patterns in knowledge graphs.

This study analyzes termination algorithms for managing database rules effectively.

Exploring the importance of why-provenance in database query explanations.

FAIR principles improve data sharing in research, boosting collaboration and trust.

This study examines global patterns in scientific collaborations among continents.

A new method aims to clarify authorship in academic papers.

A study reveals the complex relationship between past discoveries and new research impact.

DBLP-QuAD provides 10,000 question-answer pairs for academic publications.

A new data set that connects research artifacts and publications for deeper insights.

A study on how well documents are accessed in mixed search systems.

A new data set enhances research with 1.9 million academic papers and improved citation networks.

Discover the significance and applications of Vizing's conjecture in edge-coloring.

Learn how inverse optimization helps modify costs effectively.

Learn how inverse optimization adapts existing solutions to changing cost conditions.

A new game variation expands strategies for building graphs.

A study on organizing edges of planar graphs into linear forests and matchings.

A deep dive into how codes identify and locate vertices in graphs.

Exploring how various structures relate through homomorphisms and functors.

Exploring string attractors and their importance in word patterns and structures.

A new system optimizes memory sharing in data centers for better efficiency.

Scavenger optimizes cost and performance for cloud-based machine learning model training.

Learn how AHPA optimizes resource management in cloud computing.

A new method improves detection of network anomalies while ensuring data privacy.

Explore how edge service hosting improves user experience and reduces costs.

Learn how parallel processing enhances particle tracking in groundwater studies.

A new strategy reduces carbon emissions in telecommunications by optimizing energy use.

A new suite evaluates optimization algorithms for GPU performance.

Quantum networking connects devices using qubits, offering potential for advanced communication.

An overview of quantum computing advancements and the Q-Map technique.

A new framework integrates classical and quantum computing for efficient packing solutions.

Skyrmions may lead to new computing methods that are efficient and powerful.

Discover how Ising machines improve generative model training.

BrainScaleS mimics brain activity to enhance research on neural behaviors.

New methods aim to enhance tracking of tiny devices in the human body.

This study investigates how robots can coat surfaces using tiles efficiently.

A new approach to visualize and analyze complex business processes.

Learn how DyVeRG tracks evolving connections in various fields.

This article discusses how languages grow using symbols and mathematical concepts.

Learn about automata types, their states, inputs, and outputs.

This study examines the relationship between automata and bicategories for deeper insights.

A guide to the concepts and applications of Temporal Logic in computer science.

A concise overview of finitary automata and the importance of reducing their complexity.

Researchers bridge DPO hypergraph grammars and hypergraph Lambek grammars for better language understanding.

Investigating ChatGPT's view on its own intelligence and implications for consciousness.

Developing methods for machines to manipulate objects like humans.

This study presents LayoutDM, a model that enhances layout generation for web and app design.

A new method enhances image quality and consistency in 3D generation.

A new platform enhances the design and movement of soft robots in varied environments.

A new approach that links design and simulation for better efficiency.

Learn how secondary motion enhances realism in animated scenes.

A new method streamlines motion capture by estimating joint locations automatically.

Learn how animators create realistic breakage using advanced simulation techniques.

A new system optimizes memory sharing in data centers for better efficiency.

Hybrid accelerator improves speed and efficiency for Transformer models.

DRAM technology faces challenges while researchers seek improvements in performance and reliability.

Gamora enhances the analysis of electronic circuits using advanced technology.

A new approach combines models and active learning for efficient hardware designs.

Focus on improving server efficiency for cloud services.

Exploring the role of deep learning in improving FPGA design efficiency.

An innovative tool for learning about resource management in diverse computing systems.

A new method for enhancing AutoEncoder models with external knowledge.

A health bar helps operators manage robot performance effectively.

Learn how to connect breakout boards with PCB design processes.

Young voices drive social movements through digital platforms and creative strategies.

Examining how players categorize games using Steam tags.

This article discusses a new approach to 3D data interaction using hand gestures.

This article discusses improving recommendation systems through clearer explanations using counterfactual reasoning.

Examining how mobile code editors can boost everyday creativity in coding.

A new dataset improves the way we recommend mobile apps to users.

A new method to prioritize user reviews enhances app development efficiency.

A framework using large language models to enhance conversational search effectiveness.

Revolutionary method improves the efficiency of matching educational exercises.

This article discusses improving recommendation systems through clearer explanations using counterfactual reasoning.

This article discusses enhancing recommendation systems by filtering out unhelpful social connections.

This article discusses achieving fairness in graph filtering while keeping effectiveness.

Query2doc enhances search queries using large language models for better results.

Using sparse neural networks enhances prediction and stability in aluminum electrolysis models.

Research shows IRS can improve signal quality for multiple operators.

C-IRSA reduces message loss by allowing users to self-censor based on connection strength.

This article examines the effects of feedback on communication through OU-Colored AWGN channels.

A tech-driven approach improves heart attack detection through ECG analysis.

A new method improves vehicle communication and sensing efficiency.

Lasso helps identify important data in complex datasets.

This article presents a model for signal movement in networks using double edged relays.

Exploring new methods to understand Ext groups and their significance in algebra.

A new local search method improves solving real arithmetic problems effectively.

Discover methods to simplify Boolean formulas for better logical understanding.

A method to improve data accuracy in knowledge bases by merging records and answering queries.

New insights show cooperation can occur without common belief.

A look into program equivalence, bisimulation, and their significance in computer science.

A method to ensure the end of graph transformation processes.

An overview of quantum computing advancements and the Q-Map technique.

Combining human insights with machine learning for better and safer predictions.

Trained dogs show potential in detecting seizure warnings through behavior.

Introducing UIPS to address challenges in off-policy learning through uncertainty.

VaLLA enhances predictions by providing reliable uncertainty estimates in deep neural networks.

Exploring improvements in Recurrent Neural Networks and the rise of state-space models.

A new framework improves how we combine data from different sources.

Quadratic neurons offer a new approach to enhance artificial neural networks.

A new method for enhancing AutoEncoder models with external knowledge.

A new framework for optimizing sparse tensor operations and automatic differentiation.

This method improves parameter estimation in mathematical models without initial guesses.

EZtune streamlines hyperparameter tuning for machine learning models, aiding accuracy.

Explore how Python and C++ work together for efficient data analysis.

Rang helps researchers document and recreate their computational environments for accurate analysis.

Combining machine learning and PDEs improves modeling of complex physical systems.

A new library enhances complex calculations in PIM architectures.

Discover how local graph clustering simplifies data analysis in large networks.

New insights show cooperation can occur without common belief.

Learn how new communication methods enhance vehicle safety and efficiency.

A new method improves agent cooperation in fully-cooperative games.

A new method enhances cooperation among agents in complex environments.

Trust shapes our relationships and interactions in personal and professional contexts.

Research reveals techniques for robots to estimate hidden agents' actions.

A new method for consensus control prioritizes privacy while enabling effective communication among agents.

A new approach to inventory management combines adaptability with clear decision-making.

A new method improves speaker recognition by combining time and frequency features.

A new dataset for studying volumetric video in real-life scenarios.

A novel dataset bridges the gap in biomedical AI research.

This article explores the latest methods for audio representation and their implications.

A new model enhances tagging accuracy using social interactions and tag relationships.

Exploring copyright issues related to AI-generated images and protection methods.

Learn how images can be concealed within audio using advanced techniques.

Lana combines navigation and explanation for advanced robot-human interaction.

Exploring the role of C-V2X in enhancing vehicle communication.

This article discusses strategies to save energy while minimizing data delays in WSNs.

Study shows simpler CNN models can classify wireless interference effectively.

Enhancing spectrum use through adaptive techniques in wireless networks.

A new dataset enhances RF fingerprinting research for better device identification.

Wi-Fi 7 improves wireless efficiency with Multi-Link Operation and smart traffic management.

A new method enhances peer selection for faster message delivery in P2P networks.

Enhancing gaming experience through better resource management in augmented reality games.

Quadratic neurons offer a new approach to enhance artificial neural networks.

Discover how word embeddings transform language processing tasks.

A new approach to assess self-adaptive systems under challenging conditions.

This article discusses improving recommendation systems through clearer explanations using counterfactual reasoning.

The FlyHash model offers an efficient method for navigation inspired by insects.

This article discusses the benefits of biophysical synapses in neural networks.

NeuroDM combines brain science and data mining for better insights and outcomes.

Discover how Ising machines improve generative model training.

Discover how flapping foil turbines efficiently generate clean energy from ocean currents.

Explore how compatible finite element methods enhance weather and climate models.

A new method enhances the performance of PINNs for solving complex equations.

This article reviews the stability of the Discrete Dipole Approximation method.

A new method improves accuracy in modeling energy loss systems.

A look into discrete boundary value problems and their real-world applications.

Engineers refine designs by balancing fluid behavior and structural integrity in optimization.

A detailed look at new methods for simulating compressible fluid flows.

A new approach to improve performance and resource allocation in WSCs.

An innovative tool for learning about resource management in diverse computing systems.

Businesses seek new ways to secure data in the cloud with confidential computing.

A new framework for easier FPGA use in virtual environments.

BCEdge improves DNN processing efficiency in edge applications for faster response times.

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.

This article discusses adaptive modeling techniques for Cyber-Physical Systems using Validity Frames.

Exploring how digital twins enhance safety and trust in autonomous drone operations.

Research aims to improve search techniques using drones in SAR missions.

Transforming building design to save energy and promote sustainability.

Exploring automation's role in enhancing building design efficiency and communication.

Investigating distant planets and their potential to support life through advanced technology.

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

Reassessing how we classify and understand sequential circuits.

Explore how edge service hosting improves user experience and reduces costs.

Learn how quantization improves model efficiency for smaller devices.

AwkwardForth enhances Uproot for faster ROOT file processing.

Innovative algorithms improve resource scheduling without precise network state knowledge.

Learn how range regularization enhances AI model compression and quantization.

A new model aids in studying DRAM caches and their role in memory systems.

A new model enhances DRAM cache performance analysis in computer systems.

CXL memory offers a promising way to meet rising demands for speed and capacity.

NeuroQL integrates objective data and subjective opinions for better information access.

A new framework for optimizing sparse tensor operations and automatic differentiation.

A look into program equivalence, bisimulation, and their significance in computer science.

Discover a new approach to parser generation using GLL for better modularity.

A fresh dataset aids in identifying code smells for better software quality.

WikiCoder combines program synthesis with knowledge graphs for reliable code generation.

An interactive tool to fix type errors efficiently in Haskell programming.

This article discusses a method for converting C code to Rust with a focus on ownership.

A new neck support device offers relief for those with Dropped Head Syndrome.

A health bar helps operators manage robot performance effectively.

A new framework streamlines planner settings for improved problem-solving.

A new method enhances robot calibration efficiency and accuracy.

Efficient model training for precise 6D object pose estimation.

New method allows quadrupedal robots to work together in object manipulation.

New methods focus on challenging paths to enhance AI learning in robotics.

A deep dive into trajectory prediction for safer self-driving cars.

This article discusses achieving fairness in graph filtering while keeping effectiveness.

Analyzing how white supremacist messages transition from online to offline environments.

A competition showcases innovative methods for predicting city traffic using diverse data sources.

This article examines the response to misinformation about COVID-19 vaccines on social media.

Exploring how moral values and politics shape attitudes toward mask-wearing.

A look at the demographics within communities of interest across various fields.

This article examines reasons for regrettable health sharing on social media during the pandemic.

A study on managing rumor spread using user impressions.

Examining how assumptions affect software projects and the tools to identify them.

A new dataset improves the way we recommend mobile apps to users.

A new method to prioritize user reviews enhances app development efficiency.

A study evaluating models for analyzing Stack Overflow content.

This study explores deep learning methods for predicting software failures using log data.

Combining automated testing with adversarial techniques enhances software security against cyber threats.

An overview of deep learning model development stages and reengineering activities.

A new approach to assess self-adaptive systems under challenging conditions.

A new method improves speaker recognition by combining time and frequency features.

A new method enhances machine understanding of speech and text connections.

This article explores the latest methods for audio representation and their implications.

FoundationTTS improves naturalness and diversity in speech synthesis.

New techniques for keyword spotting using small models and self-supervised learning.

New method enhances sound estimation across environments using adaptive techniques.

This study presents a fast method for audio data labeling and classification.

Learn how images can be concealed within audio using advanced techniques.

A study of how matrices approach defective status through eigenvalues.

This method improves parameter estimation in mathematical models without initial guesses.