Computer Science

Using machine learning to forecast employee job changes for better HR planning.

A look at challenges in Federated Learning from data reconstruction attacks.

Machines learn from experts to adapt to unpredictable environments.

A new algorithm improves decision-making with SMC in uncertain environments.

A new method improves safety and adaptability for self-driving cars in changing environments.

ChatGPT aids computational biologists with programming tasks and data analysis.

Introducing CMI and NCMI for better deep learning performance assessment.

A look at how Contrastive Decoding improves reasoning in language models.

Headless language modeling offers efficient training techniques for improved language understanding.

This study compares performance across various language models in answering complex questions.

An overview of challenges and solutions in multilingual search.

Exploring how AI can automate failure mode classification in machinery maintenance.

Testing the strength of NER systems using context-aware adversarial examples.

A look into the challenges and opportunities of LLMs in healthcare language tasks.

A new method enhances the efficiency and flexibility of large language models.

This study examines LLM capabilities in producing structured data accurately.

A new algorithm improves decision-making with SMC in uncertain environments.

Exploring nonnegative matrices and their role in optimization and communication.

Research advances algorithms for finding irreducible factors of multivariate polynomials.

New techniques improve randomness extraction from polynomial sources, enhancing cryptographic security.

A look into how quantum circuits compute and their limitations.

This article examines the difficulties in reversing generative models in AI.

Research develops methods to verify data integrity through agreement tests.

Examining recent findings in tolerant testing of monotonicity, unateness, and juntas in functions.

New models improve identification of Ponzi schemes in cryptocurrency.

This study presents an effective approach to analyze nonlinear rods in various applications.

Introducing Importance-aware Co-Teaching for enhanced design optimization.

A novel method for improving design optimization using multiple models.

Analyzing causal relationships is key for accurate energy consumption predictions in building design.

Quantum computing enhances engineering efficiency, especially in analyzing structures and materials.

A marketplace approach to streamline electronic contracts for cloud services.

This article discusses modern methods for minimizing energy in engineering systems.

This study explores the relationship between graphs, crossings, and signed permutations.

This study examines the complexity of reconstructing monotone trees from density graphs.

A look into improved clustering methods using multi-swap local search.

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.

Discover how agent cooperation enhances resource allocation and system performance.

Robots learn human goals through active inverse learning for safer interactions.

A new system improves avatar movement accuracy and resource management in virtual worlds.

A study on how LLMs make decisions in social dilemmas.

A new algorithm simplifies decision-making in online selection problems.

A new model for stablecoins aims to enhance reliability and encourage investment.

Using game theory, robots coordinate movements in narrow areas to avoid collisions.

This article examines how players coordinate and trust in communication games.

A method to improve continual learning in machine learning through streaming data.

A new model improves feature extraction for whole slide images in healthcare.

CartoonDiff simplifies image cartoonization without needing complex models or training.

A novel approach to enhance image retrieval effectiveness and training.

A new method combines video saliency prediction and detection, improving performance.

Deepbet utilizes deep learning for fast, accurate brain extraction from MRI scans.

Study reveals effects of global and rolling shutters on pedestrian detection.

A new framework enhances accuracy in 3D data alignment across different sensors.

Examines how recommendation systems shape user perspectives and public discussions.

Examining how social media influenced information sharing in the pandemic.

Research delves into how AI interprets fairness and morality in language.

A study on how LLMs make decisions in social dilemmas.

AI initiative aims to modernize court transcription and translation practices.

Research reveals connections between individuals in photos from the Emmy Awards.

Examining how dark patterns complicate Amazon Prime's cancellation process.

A new tool helps first-year students develop essential abstraction skills in computer science.

Examining NTRU's effectiveness and the impact of dihedral groups on cryptographic security.

A look at challenges in Federated Learning from data reconstruction attacks.

A method enabling machine learning on encrypted data to protect user privacy.

A framework to enhance privacy in recommendation systems while ensuring accurate suggestions.

A study on identifying the best option while ensuring data privacy.

This method enhances recommendations while protecting user data privacy.

Introducing a framework for better application isolation and resource sharing.

Exploring differential privacy methods for secure data insights.

A new method speeds up triangle counting in graphs significantly.

Exploring the intersection of art and math in graph threading.

A study on learning Gaussian mixtures while protecting individual data privacy.

Group testing offers a streamlined approach to identify defects in various fields.

A new algorithm aims to keep changes minimal in matroid intersections.

A new algorithm simplifies decision-making in online selection problems.

Research advances algorithms for finding irreducible factors of multivariate polynomials.

Exploring federated learning techniques to enhance communication efficiency while preserving user privacy.

BETULA enhances hierarchical clustering, making it faster and more efficient.

A new approach to manage RDF data across edge devices efficiently.

This article discusses a framework for managing privacy in multi-analyst scenarios.

A new algorithm offers improved data clustering performance with simplified parameters.

A study on user understanding of negation in data patterns.

Examining schema change issues in live programming and local-first software.

This system improves how users move computational notebooks between devices.

Addressing data inconsistencies and query complexities in database systems.

Exploring the accuracy and trustworthiness of ChatGPT's answers.

Exploring how citation patterns reveal true research impact beyond traditional metrics.

Open data enhances collaboration and knowledge sharing in mathematical research.

A new metric, Academic Midas Touch, measures research impact through citation analysis.

Novelty and diversity in research paper recommendations can foster interdisciplinary collaboration.

New approaches enhance the accessibility of cultural heritage resources for all users.

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

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

Examining integer sequences using finite automata for quick proofs and insights.

Proposing six standards for effective graph clustering without distance information.

A new algorithm simplifies decision-making in online selection problems.

A model combines deep learning and rule-based systems for clear decision-making.

Hyperbolic neural networks enhance tree structure representation in data science.

Examining recent findings in tolerant testing of monotonicity, unateness, and juntas in functions.

Explore the game dynamics of Cops and Robbers on graph structures.

A fresh approach for using neural networks with complex data structures.

Exploring the role of GNNs in processing point cloud data.

A new algorithm improves speed and efficiency in processing sparse tensors.

Discover how parallel algorithms speed up LCS calculations for large data sets.

A new method speeds up triangle counting in graphs significantly.

A new approach to manage RDF data across edge devices efficiently.

Exploring ways to improve data sharing while ensuring user privacy.

Exploring Julia's capabilities in the Gray-Scott diffusion-reaction model for HPC.

A new caching system enhances resource use and adapts to changing workloads.

New approaches to analog computing enhance accuracy and efficiency in deep learning.

Exploring how ChatGPT is shaping learning in engineering colleges in India.

Underlayer networks improve communication and efficiency in modern manufacturing.

This study connects presence and reaction time in Mixed Reality.

This study explores new ways to assess blockchain applications using machine learning.

New technologies improve monitoring of driver alertness to enhance road safety.

An overview of prompt types that enhance language model performance.

A call for ethical practices in technology for all backgrounds.

Examining integer sequences using finite automata for quick proofs and insights.

New methods enhance communication in multi-agent systems through choreographies and posets.

Learn the essentials of regex for effective string manipulation and data handling.

An overview of Topological Quantum Field Theory and its connections to mathematics and physics.

Explore how agents can operate effectively in unpredictable environments through synthesis.

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.

MolSieve helps researchers analyze complex molecular dynamics simulations efficiently.

New method improves surface extraction from neural unsigned distance fields.

A look into improving human motion generation from text descriptions.

A new method improves data visualization with minimal memory use.

A new approach to surface modeling using neural networks.

A new method improves view synthesis by separating reshading and pixel relocation.

A new dataset enhances 3D modeling of hands holding objects from videos.

A new method enhances detail and quality in 3D modeling through LoD-NeuS.

A new compiler boosts CGRA capabilities for diverse software applications.

Using large language models to streamline hardware design verification processes.

Introducing Spatz, a new compact processing unit designed for modern computing demands.

New framework enhances performance of encrypted data processing using GPUs.

New approaches to analog computing enhance accuracy and efficiency in deep learning.

Using GPUs to speed up reservoir simulations can improve efficiency and reduce computation times.

A new architecture enhances energy efficiency and speed in large integer multiplication.

TroLL combines logic locking with hardware Trojans, posing serious security risks.

Radio2Text uses mmWave signals for real-time speech recognition in noisy environments.

MolSieve helps researchers analyze complex molecular dynamics simulations efficiently.

This article examines how AI can assist in diagnosing sepsis more effectively.

A voice assistant simplifies health communication for older adults and providers.

A framework to create diverse natural language datasets for data visualization.

Discover how AI can improve planning and execution in data analysis.

Study explores how to improve AI decision explanations for better patient understanding.

Exploring gesture recognition to improve smartphone interaction through motion sensors.

A framework to enhance privacy in recommendation systems while ensuring accurate suggestions.

A new model enhances search and recommendations for users with limited data.

This method enhances recommendations while protecting user data privacy.

Exploring effective ways to choose dense retrieval models for unlabeled data.

Exploring the accuracy and trustworthiness of ChatGPT's answers.

This article discusses frame length bias in text-video retrieval and a new approach to address it.

This research addresses fairness in recommendations, enhancing visibility of cold items.

Learn how LLMs enhance sequential recommendation systems for better user suggestions.

Combining visual data with wireless tech to improve beam training efficiency.

A study on enhancing data storage efficiency with locally repairable codes.

Movable antennas enhance wireless systems, improving data transfer speeds and performance.

A look at the significance and design of 2D-ZCAQs in communication systems.

A new method improves cross-complementary pairs for better communication performance.

Exploring nonnegative matrices and their role in optimization and communication.

A new approach to improve clustering accuracy and efficiency through Generalised Mutual Information.

Learn how robust tensor decomposition improves data analysis amidst noise and outliers.

Exploring dynamic separation logic for improved memory management in programming.

A new algorithm improves decision-making with SMC in uncertain environments.

Btor2MLIR offers a flexible toolchain for efficient hardware verification.

Exploring how logical formulas aid machine learning.

Discover a new approach to improve evaluation efficiency in lambda calculus.

An overview of the external strategy in strong call-by-value programming.

Reversible programming languages pave the way for efficient computing solutions and quantum technology.

A look into how children deduce their muddy status through reasoning.

BETULA enhances hierarchical clustering, making it faster and more efficient.

A method to improve continual learning in machine learning through streaming data.

This article discusses using diffusion models with discrete data through the probability simplex.

Using machine learning to forecast employee job changes for better HR planning.

Introducing COPS, a method for efficient deep learning model training with less data.

A new method for accurate pitch detection in music and sound.

A look at challenges in Federated Learning from data reconstruction attacks.

Machines learn from experts to adapt to unpredictable environments.

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.

Examining how autonomous vehicles learn to drive together and compete effectively.

Introducing CRAMP, a method improving agent navigation in crowded environments.

This article discusses self-healing distributed optimization for effective network resilience.

Explore how multi-agent systems enhance manufacturing performance through real-time data management.

Managing EV charging to stabilize the power grid while ensuring driver privacy.

New evaluation methods for large language models in healthcare.

New AI methods enhance air combat training with hierarchical decision-making.

A marketplace approach to streamline electronic contracts for cloud services.

A new method improves image compression for diverse image types.

This article discusses frame length bias in text-video retrieval and a new approach to address it.

A new method improves how tech detects human behavior in group settings.

Learn how LP-CLIP enhances the robustness of multi-modal models like CLIP.

A ground-breaking dataset aids the study of K-pop lyric translation.

AVMIT offers researchers insights into how sound and vision relate in action recognition.

A new method improves detection of fake audio in voice recognition systems.

This study examines how cropping can improve video recall by focusing on visual saliency.

This article discusses new methods for improving task offloading in self-driving cars.

New architecture enhances low-latency communication in cellular networks using programmable data planes.

Learn how Wireless Sensor Networks can enhance home monitoring and automation.

MPTCP improves data communication speed and reliability using multiple network paths.

A new system improves avatar movement accuracy and resource management in virtual worlds.

Learn how new techniques improve mobile data transfer during handovers.

Learn how the REVEAL protocol secures wireless networks from MiM attacks.

Underlayer networks improve communication and efficiency in modern manufacturing.

Astrocytes enhance the performance and fault tolerance of Spiking Neural Networks.

Exploring how robot swarms navigate obstacles in unpredictable environments.

Research delves into how AI interprets fairness and morality in language.

This study automates the classification of scientific texts with the right ontologies.

A new approach to optimize deep neural networks on resource-limited devices.

A new model enhances predictions for magnetic hysteresis in materials.

A new method enhances feature selection by modifying shadow features with noise.

A new approach using community assembly graphs to study lexicase selection in genetic programming.

This article discusses regularization methods for solving inverse problems across various fields.

Exploring modern techniques for efficient material distribution in engineering design.

An overview of solving nonlinear variational inequalities using the FASCD method.

A new method simplifies predictions for elastoplastic materials experiencing cyclic stress.

This work discusses numerical methods for simulating open quantum systems and their effectiveness.

New methods improve wave handling in unbounded spaces using advanced absorbing boundary conditions.

A new method minimizes boundary resonance errors in multiscale material behavior analysis.

A new approach enhances SIR models for better epidemic analysis.

Introducing a framework for better application isolation and resource sharing.

Analyzing issues in predicting future actions in ongoing processes.

Learn how compartmentalization improves software security by limiting access and interaction.

A new method for efficient data sharing between cloud functions.

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

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

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

Memory fragmentation affects computer performance, especially in demanding environments.

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.

Research on predicting training time for machine learning models using FPTC.

This study explores new ways to assess blockchain applications using machine learning.

A novel approach estimates application-level power use without intrusive methods.

A clear look at queueing networks and their significance in various systems.

FP8 offers a compact solution for training large AI models with improved efficiency.

New engine improves efficiency in 3D point cloud processing with Sparse Convolution.

New methods enhance speed and efficiency in 3D rendering.

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

An overview of Cartesian differential categories and their relevance in mathematics and computer science.

A new compiler boosts CGRA capabilities for diverse software applications.

Btor2MLIR offers a flexible toolchain for efficient hardware verification.

A look at how stochastic memoization improves probabilistic programming.

Exploring Julia's capabilities in the Gray-Scott diffusion-reaction model for HPC.

An analysis of CUDA and SYCL in protein database searches.

A new approach enhances the training of surrogate models in software development.

Examining schema change issues in live programming and local-first software.

Robots improve navigation by identifying materials around them for accurate localisation.

This method enhances mobile robots' path planning in changing environments.

Machines learn from experts to adapt to unpredictable environments.

A new method integrates physics and deep learning to predict human movement accurately.

GRaCE advances robot grasping by balancing key factors for better performance.

A new method improves safety and adaptability for self-driving cars in changing environments.

This article discusses the role of BEV perception in self-driving technology.

QTOS streamlines movement planning for quadruped robots, enhancing their performance.

Examines how recommendation systems shape user perspectives and public discussions.

Examining how social media influenced information sharing in the pandemic.

An overview of fishing practices, data challenges, and sustainability in the Azores.

This study examines user interactions and opinions on vaccination in online forums.

Introducing a protocol for privacy-preserving link prediction in distributed graphs.

A decentralized method improves data collection with mobile devices.

A new method to generate urban flow data in cities without historical information.

A deep dive into advertising rules on Twitter reveals significant non-compliance.

Discover how ChatGPT can streamline the code review process in software development.

This article discusses new methods for verifying data security in concurrent systems.

Using large language models to streamline hardware design verification processes.

A novel approach to fixing software bugs using language models for donor code selection.

EditAS method enhances assertion generation for better unit testing outcomes.

Explore how Continuous Integration enhances software quality and team collaboration.

Testaro simplifies accessibility testing by combining multiple tools into one streamlined process.

EGFE enhances the process of organizing UI design elements for better code quality.

Exploring nonlinear methods in audio for music production and speech analysis.

A new method for accurate pitch detection in music and sound.

Radio2Text uses mmWave signals for real-time speech recognition in noisy environments.

A study examines the effectiveness of automated sound maskers in public spaces.

Graph neural networks improve speaker recognition accuracy by analyzing voice sample relationships.

A study evaluating emotion recognition in speech models across six languages.

AffectEcho model enhances emotional expression in AI-generated speech.

This study enhances G2P models by focusing on error-prone areas during training.

Study of yeast kinases sheds light on cell signaling.

Exploring the need for safety and trust in AI systems.

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

JABBA enhances time series data analysis through consistent symbols and parallel processing.

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.

Exploring nonlinear methods in audio for music production and speech analysis.

A new method improves safety and adaptability for self-driving cars in changing environments.

A method to balance hydrogen supply and demand for effective vehicle adoption.

Discover how agent cooperation enhances resource allocation and system performance.

Robots learn human goals through active inverse learning for safer interactions.

Exploring how robot swarms navigate obstacles in unpredictable environments.

New techniques improve power flow learning for efficient electricity delivery.

A new framework for assessing the stability of differential-algebraic systems under uncertainty.