Computer Science

This paper examines the risk of backdoor attacks in few-shot learning.

Introducing Social-LLM, a model improving user detection in social networks using content and interaction data.

KernelGPT automates syscall specification generation to enhance kernel fuzzing and bug detection.

GraphGPT processes graphs efficiently, outpacing traditional models in various applications.

A study on LLMs and their role in business education.

Examining how language models can assist in mental health support and treatment.

New method improves MRI segmentation by adapting models without extensive labeling.

A new model enhances GNN understanding of node similarities using transitivity.

New methods improve speech processing and generation in language models.

A language model that understands both text and layout in documents.

A study on embedding layers and their impact on language model performance.

A study on LLMs and their role in business education.

Examining how language models can assist in mental health support and treatment.

A new model offers insights and support for financial decision-making.

Astraios develops cost-effective models for efficient code generation and comprehension.

A study on how context affects the duration of statement validity.

Introduction of innovative symmetric error-correcting codes with promising applications.

A look into hypergraphs, their properties, and applications in various fields.

A method to group data while considering diverse characteristics and identities.

A study on effective honeypot integration in production systems for improved cybersecurity.

This article discusses expected Shapley-like scores for evaluating contributions in probabilistic databases.

This paper examines the decoding challenges of zero-rate codes in error correction.

SARRIGUREN improves SAT solving for dense clause instances with a unique counting approach.

Examining proof systems, their methods, and their connection to satisfiability solving.

Explore the impact of cryptocurrencies and decentralized finance on modern financial systems.

This article examines how scientific advancements shape funding decisions in small businesses.

A new machine learning approach improves design optimization in engineering and science.

This article explores the impact of GPUs on fluid dynamics simulations.

Study on recognizing drivers through their unique driving styles using GPS signals.

New methods improve adsorption energy prediction for catalysts using machine learning.

Quantum computing shows promise in improving Metal-Organic Frameworks for carbon capture.

A fresh method for more accurate credit risk estimation and management.

This article reviews effective search strategies for different terrains and their implications for autonomous systems.

A method to separate two groups of points with limited lines.

A method to compare smooth curves in various applications.

A study on upward point-set embeddings in directed graphs with special focus on bends.

Examining how drones and trucks reshape delivery methods for efficiency.

Learn how to minimize perimeter when dividing rectangles into smaller parts.

Research reveals DBA's efficiency in averaging time series data.

Exploring methods to study overlapping curves in geometry and algebra.

A look at auction types, strategies, and equilibrium concepts.

A new game approach enhances evacuation planning during disasters.

Examining how selfish task behaviors affect overall scheduling efficiency.

How popularity shapes decisions in business and politics.

A novel approach to stabilize player strategies in congestion games with limited information.

This article proposes Decent-BRM to support solo miners over mining pools.

Discover the vital role receivers play in effective communication dynamics.

Exploring methods for fair resource and task distribution based on preferences.

A simpler method to manage object movement in generated videos using bounding boxes.

GD-NeRF tackles image blurriness in novel view synthesis.

New method improves MRI segmentation by adapting models without extensive labeling.

Examining backdoor attacks and labeling errors in medical AI models.

A new method improves defect detection in Automated Fiber Placement processes.

A new method improves semantic segmentation without needing source data during adaptation.

A new neural network model improves text recognition across different tasks and domains.

New framework enhances model performance with quality data.

New framework SUDO helps assess AI systems without ground-truth data.

Study shows high rates of errors in legal answers from language models.

Teaching students to connect technology with social issues for positive impact.

AI offers farmers innovative solutions to improve agriculture in Africa.

Examining how computing power affects AI research in academia and industry.

A look into the complexities and patterns of migration across communities.

An overview of user awareness and experiences with safety technologies on social media.

Learn how SHM improves maintenance decisions for infrastructure.

This paper examines the risk of backdoor attacks in few-shot learning.

TbDd framework improves blockchain security and efficiency for IoT applications.

Examining methods for protecting privacy in machine learning.

KernelGPT automates syscall specification generation to enhance kernel fuzzing and bug detection.

Researchers develop breath-based identification system using unique airflow patterns.

A clear strategy for automating and managing smart homes with multiple rules.

A new approach to enhance fairness in transaction ordering for blockchain technology.

Investigating machine learning vulnerabilities in detecting hardware Trojans in ICs.

Learn how mutual visibility in graphs impacts communication and coordination in robotics.

A study on optimizing job scheduling using adaptable resources for improved efficiency.

Introducing DovetailSort: a new approach to sorting integers efficiently in parallel.

A novel algorithm improves pathfinding efficiency in networks with failures.

A study on effective sampling techniques for identifying the largest community.

Investigating resilient algorithms for testing functions amid data loss challenges.

This study reduces the number of labels needed for distance labeling in cycles.

Learn how kernel density estimation aids in data analysis.

CXL improves device connections, enhancing memory sharing for better computing.

This article presents techniques to enhance performance in distributed systems.

A new system enables fast processing of temporal graphs on single machines.

A novel approach provides clear explanations for graph classifications.

VegaPlus improves data visualization performance by focusing on user interactions.

Techniques to streamline searching satellite images using clustering and dimensionality reduction.

Advanced methods enhance accuracy and efficiency in handling missing data.

A framework using machine learning to predict database query workloads for better performance.

Introducing a new index for fair measurement of research journal impact.

Techniques to streamline searching satellite images using clustering and dimensionality reduction.

Examining the impact and detection of fake academic papers.

Learn how to share scientific findings clearly with diverse audiences.

A detailed dataset combining Mozart's sonatas with piano performances and expert annotations.

Efforts to create a quality measure for research data and software.

A study of public sentiment on Reddit following the October 2023 Hamas attack.

Enhancing scientific data documentation is vital for fair ML practices.

This article examines the difficulties in enumerating inclusion-wise minimal separators in graph theory.

A look into hypergraphs, their properties, and applications in various fields.

An overview of mixed-variable optimization problems and current research advancements.

Exploring strategies in the Cops and Robbers game with 1-planar graphs.

This work presents methods for generating trees to model graphs effectively.

This article studies maximal cliques across various random network models.

A look at hypergraphs and their significance in analyzing complex connections.

Exploring methods to improve search efficiency in trees with varying node costs.

Introducing DovetailSort: a new approach to sorting integers efficiently in parallel.

A new approach to boost machine learning efficiency in satellite communication.

Learn how KCES improves resource scheduling in cloud-edge environments.

This article presents techniques to enhance performance in distributed systems.

A new system enables fast processing of temporal graphs on single machines.

This article discusses key trends and challenges in today's computing world.

Learn about Avalanche consensus and its benefits in blockchain networks.

A new method to efficiently update PageRank scores in changing graphs.

A new approach to monitor neural networks during operation to ensure reliability.

Quantum computing shows promise in improving Metal-Organic Frameworks for carbon capture.

A hybrid algorithm merges classical and quantum computing to advance railway dispatching efficiency.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

Exploring efficient methods to tackle complex optimization problems using tensor networks.

A guide to crafting clear and effective academic papers.

Research explores a method to form complex shapes with simple tiles.

Discover how quantum tools change music creation and performance.

This article examines methods to classify words using non-deterministic automata.

Explore automatic and conditional complexity in strings and their applications.

Exploring how robots can work together effectively using hierarchical task management.

A look at simplified structures for efficient text handling.

Directed languages play a crucial role in computer science and language theory.

A look into string constraints and their importance in software systems.

Exploring the dynamics and strategies of Rabin games in decision-making systems.

Exploring verification challenges and solutions for concurrent programs in weak memory models.

A review of shape modeling techniques in immersive environments.

AI technology is transforming the creation of 3D models and animations.

Shape maps simplify the creation of reflections and refractions in digital art.

A method for improved visualization of scattered data in particle dynamics.

A new method streamlines the design of animated character eyes.

DiffSketch allows artists to create stylized sketches from just one example.

A new approach to visualize Italian smocking results digitally.

This method simplifies adding objects to 3D environments using text and 2D boxes.

Exploring the potential of SNNs in edge computing applications.

Investigating machine learning vulnerabilities in detecting hardware Trojans in ICs.

The eGPU enhances parallel processing in FPGAs with flexible architecture.

A new architecture enhances processing of event-based visual data efficiently.

X-HEEP offers customizable and energy-efficient solutions for edge computing applications.

This paper discusses improving energy efficiency in devices using harvested power.

Exploring the impact of hardware accelerators on Large Language Models.

A new framework enhances GPU performance for deep learning tasks.

Exploring the role of OSINT in modern investigative practices.

Teaching students to connect technology with social issues for positive impact.

This study explores how AI tools are changing help-seeking behaviors in computing education.

Study assesses quality and personalization of TTS voices in mindfulness practices.

Examining how social media shapes political narratives in India.

This article reviews methods to combine 2D and 3D data visualizations effectively.

This study enhances activity recognition by using hard negative sampling techniques.

Study investigates how computer delays affect response times and frustrations in participants.

Study reveals how highlighting improves understanding in programming answers.

Research highlights the need for personalized responses in conversational search agents.

This study examines the difficulties of using contrastive learning for music video understanding.

This research examines how ChatGPT enhances recommendation systems using user feedback.

This paper discusses methods from COLIEE 2023 to improve legal text processing.

This article examines how organizations can improve crisis response by studying past events.

A new method to improve communication in FedRec while protecting user data.

New method enhances retrieval efficiency across languages without heavy translation.

Exploring the role of ISAC in advancing communication and sensing technologies.

Examining cell-free mMIMO systems and their impact on wireless communication efficiency.

Explore the distribution and statistical properties of lattice points within defined spaces.

Introduction of innovative symmetric error-correcting codes with promising applications.

Investigating resilient algorithms for testing functions amid data loss challenges.

A new method enhances real-time data transmission in autonomous systems.

A look into Gaussian mixtures and their relevance in various fields.

XL-MIMO technology enhances wireless performance for future networks.

Examining the role of semi-simplicial and semi-cubical sets in modern mathematics.

Exploring tools and methods for analyzing systems influenced by time and parameters.

A look at the relationship between type theory and higher-order arithmetic in mathematics.

A new algorithm enhances reasoning capabilities in DatalogMTL for complex datasets.

A deep dive into substitution and its role in lambda-calculus.

A look at the interplay between game semantics and constructive modal logic.

Learn the basics of program logic and its significance in programming.

Examining how systems adapt to disruptions while achieving goals within time limits.

R2D2 enhances image quality in radio astronomy using deep learning techniques.

New techniques improve audio clarity in noisy environments.

Examining methods for protecting privacy in machine learning.

A study on embedding layers and their impact on language model performance.

GraphGPT processes graphs efficiently, outpacing traditional models in various applications.

New methods improve keyword spotting using available reading speech data.

MSGNet improves forecasting by capturing complex relationships in time series data.

Examining backdoor attacks and labeling errors in medical AI models.

New methods simplify complex polynomial optimization challenges for better solutions.

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

New method enhances predictions using Gaussian processes on unknown data structures.

New algorithm enhances saving and loading processes for complex simulations.

A framework for analyzing complex data using graph structures.

Learn how Chisholm approximants aid in estimating functions with two variables.

A novel approach improves wave simulation in irregular landscapes for better predictions.

New algorithm improves analysis of complex datasets for researchers.

New method allows agents to learn together while managing untrustworthy influences.

This study examines AI behavior in war simulations and its implications for military decisions.

A dataset featuring StarCraft II replays to analyze multi-agent interactions.

Learn how controllability backbone aids in managing networked agents effectively.

Examining the efficiency and fairness in real-time vehicle task assignment.

A new method to improve decision-making in multi-agent environments.

Learn how Distributed Collective Processes enhance teamwork among smart devices.

Exploring DiSC-UCB algorithm for effective action selection in uncertain environments.

A new framework identifies and measures bias in image generation systems.

Explore how Diffusion Models improve super-resolution in various fields.

A new model improves low-quality videos while reducing processing demands.

SAMA improves image and video quality assessment through effective sampling techniques.

This study examines the difficulties of using contrastive learning for music video understanding.

A new method streamlines the design of animated character eyes.

A new method improves image compression by focusing on frequency bands.

Vlogger simplifies video blogging, making it quicker and easier for creators.

A new approach to enhance fairness in transaction ordering for blockchain technology.

A new method enhances real-time data transmission in autonomous systems.

eSIM technology transforms mobile connectivity for devices and IoT applications.

Virtual Multi-Topology Routing offers efficient data management for modern networks.

Learn how DNS filtering techniques protect against online dangers.

A framework that improves radio resource allocation for fast and reliable services.

A new system enhances management of mobile transmitters in radio zones.

Learn how safe learning improves SD-WAN load balancing efficiency and safety.

Exploring the potential of SNNs in edge computing applications.

Introducing DREA, a new algorithm for finding reliable solutions in optimization.

Exploring the role of hypercomplex-valued neural networks in modern applications.

t-DGR offers a new approach to continual learning, improving task retention and performance.

A new framework enhances SNNs for better efficiency and performance.

A look at Brain-Inspired Modular Training for better AI model clarity.

Combining expert feedback with algorithms for better software architecture choices.

An overview of mixed-variable optimization problems and current research advancements.

Learn how to handle uncertainty in stochastic parabolic equations.

A novel approach reduces memory and computation needs in studying complex fluid flows.

Registration helps align models with real data, crucial for scientific and engineering systems.

Improving optimization through limited memory gradient techniques for better performance.

Exploring the impact of Wasserstein distance on Gaussian mixture model analysis.

A simplified model for accurate energy transfer simulations in high-temperature materials.

Research on local kernel methods enhances problem-solving in mathematics and related fields.

New techniques improve domain decomposition for complex parabolic equations.

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

Memory fragmentation affects computer performance, especially in demanding environments.

This paper discusses improving energy efficiency in devices using harvested power.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

A new tool evaluates Syzbot's ability to find Linux kernel bugs.

Learn how to enhance AI performance using GPU remoting and effective networking.

A new approach streamlines page table management in NUMA systems.

A new system enhances performance and reduces delays in medical AI applications.

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.

CXL improves device connections, enhancing memory sharing for better computing.

A new system enables fast processing of temporal graphs on single machines.

A new method to efficiently update PageRank scores in changing graphs.

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

Memory fragmentation affects computer performance, especially in demanding environments.

A new method enhances processing for sparse tensor networks, improving performance.

Learn how to apply energy-saving practices to web development.

Learn how Virtual WANs can enhance connectivity for businesses.

This study examines how quizzes can enhance learning in programming languages.

Learn how static code analysis enhances software quality and security.

A new approach simplifies secure program development for distributed systems.

A new system improves PLC programming efficiency and safety using advanced AI.

A method to improve understanding and security of Graph Neural Networks.

A new method enhances processing for sparse tensor networks, improving performance.

Learn the basics of program logic and its significance in programming.

Introducing a language to enhance the security of confidential computing in the cloud.

A new method improves the speed of Hybrid MPC in robotic control tasks.

A new model enhances lane-changing and overtaking of self-driving vehicles.

PAUL is a flexible soft robot arm designed for versatile movements and applications.

Sharing knowledge among AVs enhances their ability to adapt to different driving situations.

A novel model effectively integrates 2D and 3D image processing.

MOTO enhances robot learning by combining offline training with online fine-tuning.

Study assesses quality and personalization of TTS voices in mindfulness practices.

A new device enhances deployment of autonomous underwater vehicles from surface vessels.

Study examines how political beliefs affect vaccine skepticism on Twitter across Europe.

Explore the impact of cryptocurrencies and decentralized finance on modern financial systems.

Introducing Social-LLM, a model improving user detection in social networks using content and interaction data.

A new model enhances GNN understanding of node similarities using transitivity.

Explore how networks change over time and their practical applications.

Study analyzes the rise of violent language in the Incel community.

AI-generated images fuel the rise of deceptive social media accounts.

Examining how social media shapes political narratives in India.

KernelGPT automates syscall specification generation to enhance kernel fuzzing and bug detection.

Research examines the vulnerabilities and patch process in Golang development.

Students learn better by creating code with problems to improve their refactoring abilities.

Astraios develops cost-effective models for efficient code generation and comprehension.

A new framework identifies and measures bias in image generation systems.

A new method enhances machine translation testing for better accuracy.

Study reveals how highlighting improves understanding in programming answers.

A method for creating applications that balance energy use and performance.

New methods improve speech processing and generation in language models.

New techniques improve audio clarity in noisy environments.

New methods improve keyword spotting using available reading speech data.

A look into region-customizable sound extraction methods for clearer audio.

New single-step methods improve accuracy in formant tracking for speech sounds.

A fresh look at advancements in spoken language science methods and applications.

This study examines the difficulties of using contrastive learning for music video understanding.

A new approach enhances the integration of speech with language models.

SCoBots improve reinforcement learning by enhancing object relationship understanding.

Introducing a novel approach to categorize and study emotions through the Emotion Frame Ontology.

This study examines how ML improves variable selection in symbolic computation.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

FEX offers a novel approach to understanding complex network dynamics from limited data.

A deep dive into the role of symmetric functions over finite fields.

Investigating new methods to enhance pseudorandom generators for better algorithm efficiency.

A look into how we determine parameter values in differential equations.

A study on resource allocation against stealthy attacks in interconnected systems.

Explore how Data-Driven Safety Filters maintain safety in learning-based systems.

New technology optimizes internet connectivity using Integrated Access and Backhaul networks.

A method for creating applications that balance energy use and performance.

Sharing knowledge among AVs enhances their ability to adapt to different driving situations.

Advancements in frequency control ensure stability in modern power systems with renewable resources.

A new method improves energy dispatch by blending forecasts with operational needs.

A method to assess stability in complex nonlinear systems under small disturbances.