Computer Science

This model improves how neurons adapt to sensory information changes.

Racing-CVGP enhances symbolic regression efficiency in discovering mathematical equations.

DebCSE framework enhances sentence embeddings by reducing biases during training.

COBRA enhances survival analysis through improved variable selection and model integration.

This study examines how to classify revisions for better argumentative writing.

This paper presents a geometric view of transformer language models.

A new method creates realistic gestures from raw speech audio.

Robots can now search for items using detailed language instructions more effectively.

DebCSE framework enhances sentence embeddings by reducing biases during training.

This study examines how to classify revisions for better argumentative writing.

This paper presents a geometric view of transformer language models.

A new method enhances categorization of research papers using advanced NLP techniques.

A new framework for efficient multilingual résumé parsing in hiring processes.

This study examines using Big Bird for identifying native languages via writing.

New methods improve task learning and retention in dialogue systems.

Detecting subjectivity in news is vital for accurate information.

Exploring the role of annihilators in polynomial maps and their implications.

A look into contextual grammars and their role in language creation.

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.

New framework boosts efficiency and accuracy in reduced-order modeling.

Discover how advanced simulators reshape trading strategies and market analysis.

Fin-Fact helps improve financial fact-checking to combat misinformation.

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.

A new approach to detecting malicious activities in cyber systems using modern data analysis.

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 learning methods for effective gameplay in uncertain environments.

This article examines how systems perform under faults using probabilistic masking.

Exploring methods to distribute goods fairly based on individual preferences.

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.

AI uses masked diffusion model to improve instructional video action planning.

This article explains how CNNs learn features from images using AGOP.

New methods improve video classification efficiency and accuracy using compressed data.

Aiming to reduce bile duct injuries through automated assessment in laparoscopic cholecystectomy.

CATS v2 enhances accuracy in medical image segmentation through hybrid approaches.

A new method enhances tissue identification in biopsy slides by removing artefacts.

A system combining video and GPS data for vehicle tracking on Interstate 24.

LInKs improves 3D pose estimation from 2D data, even with occlusions.

A method to address privacy and fairness concerns in machine learning.

Explore how Markov models analyze student performance and behavior over time.

A new approach to improving algorithmic recourse over time and competition.

A study examining political divides in Pakistan using Twitter data from 2018 to 2022.

A framework for measuring and improving fairness in AI systems.

Examining Ukraine's use of memes for wartime communication on social media.

Serious games provide new insights into cyberbullying behaviors among children.

Examines how recommendation systems shape user perspectives and public discussions.

New methods for preserving privacy while sharing information among multiple groups.

A method to address privacy and fairness concerns in machine learning.

A novel method that uses TEEs to protect machine learning models in federated learning.

Innovative approach to secure communications in resource-limited IoT devices.

A new audio attack method poses risks to voice-controlled devices.

This article discusses the effectiveness of tools designed to detect smishing attacks.

A new framework to detect and repair vulnerabilities in smart contracts.

A new method combines TEEs and garbled circuits for better performance in cloud tasks.

Quantum techniques may enhance k-means clustering efficiency and performance.

A study reviewing different formulations for cutting shapes efficiently.

Learn how bipartite treewidth aids in solving complex graph problems efficiently.

A new method for effectively representing and manipulating sparse graphs.

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 look into semiring semantics and Ehrenfeucht-Fraïssé games in database applications.

A new approach to manage cloud resources effectively and quickly.

A new framework ensures synthetic data answers are trustworthy for research.

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

A look into the challenges and solutions of Big Data management.

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.

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.

A study reviewing different formulations for cutting shapes efficiently.

A new approach enhances the study of complex networks through efficient curvature computation.

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.

This article discusses DRL techniques for improved scheduling in IoT environments.

MPI Advance enhances message passing for improved computing efficiency.

Learn how session types ensure safe communication in software systems.

FedDIP optimizes communication in federated learning through dynamic pruning and regularization.

MPCGPU speeds up control in robotics using GPUs for enhanced precision.

A new approach to improve autoscaling for serverless functions using reinforcement learning.

A new approach uses Reinforcement Learning to tackle cold start challenges in serverless computing.

Exploring methods to distribute goods fairly based on individual preferences.

Analog computing offers unique advantages for real-time data processing and specialized tasks.

New method aims to reduce compilation times in quantum computing tasks.

Chaotic microresonators enhance decision-making in the Multi-Armed Bandit problem.

Examining the blend of classical and quantum methods in computing.

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 article examines how systems perform under faults using probabilistic masking.

A look at how automata learning impacts various tech fields.

A look into contextual grammars and their role in language creation.

A look at automata that traverse input strings in both directions.

An overview of constituency parsing and M-monoid parsing's role in NLP.

An overview of quantum automata recognizing unary languages using novel methods.

Exploring the role of final sentential forms in language generation through CFGs.

Explore the unique features and implications of signed grammars in language generation.

A new method creates realistic gestures from raw speech audio.

Using generative painting to modernize 3D assets for improved visual appeal.

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.

Innovative approach to secure communications in resource-limited IoT devices.

A new method enhances deep learning models on FPGAs for faster processing.

A new hybrid model improves image quality using quantum and classical methods.

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.

A new method for generating gestures that match speech effectively.

Exploring how robots can support creativity in older adults.

A new audio attack method poses risks to voice-controlled devices.

VEATIC provides a richer dataset for studying human emotions in context.

A new framework aims to clarify AI decision-making for humans.

Examining Ukraine's use of memes for wartime communication on social media.

Study reveals how removal explanations boost user participation on social media.

A study on how users interpret AI explanations and their limitations.

A new framework for efficient multilingual résumé parsing in hiring processes.

A new method for training conversational retrieval systems with limited data.

iHAS improves predictions and efficiency in recommender systems through tailored dimension selection.

A look at conversational recommenders using real dialogue for better suggestions.

Exploring how technology shapes our daily experiences and future possibilities.

MMEAD improves entity linking for better search results in information retrieval.

This study evaluates when expansions improve or harm information retrieval performance.

A new method improves how streaming services recommend films based on genres.

Innovative approach to secure communications in resource-limited IoT devices.

New cellular designs enhance connectivity for drones and ground users.

New methods for creating perfect sequences improve communication systems.

Learn how PAC codes improve data transmission efficiency.

Exploring smooth min-entropy's impact on secure quantum communications.

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 into enabling preserving bisimilarity and its impact on process analysis.

This article examines how systems perform under faults using probabilistic masking.

This paper connects parallel pushdown automata with commutative context-free grammars.

This article presents a type system for managing locks in programming.

A look at cancellation properties in probabilistic systems and their implications.

The decline of SOS research prompts a look at its future prospects.

A look into semiring semantics and Ehrenfeucht-Fraïssé games in database applications.

A look at how automata learning impacts various tech fields.

Examining learning methods for effective gameplay in uncertain environments.

This model improves how neurons adapt to sensory information changes.

Racing-CVGP enhances symbolic regression efficiency in discovering mathematical equations.

This article explains how CNNs learn features from images using AGOP.

A robust quantile regression method improves predictions in medical imaging tasks.

Phoneme Hallucinator transforms voice conversion with limited data for clearer outputs.

COBRA enhances survival analysis through improved variable selection and model integration.

This paper presents a geometric view of transformer language models.

A study reviewing different formulations for cutting shapes efficiently.

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.

Assessing efficiency in MARL algorithms through communication and training methods.

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 new method creates realistic gestures from raw speech audio.

A new method for generating gestures that match speech effectively.

Detecting subjectivity in news is vital for accurate information.

VEATIC provides a richer dataset for studying human emotions in context.

Assessing the realism and quality of text-to-video outputs.

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.

A new method named Reminis enhances performance in 5G environments.

New cellular designs enhance connectivity for drones and ground users.

Explore how MAC and IPv6 addresses are visualized for better understanding.

A radar-based system improves detection and identification of small drones for safety.

RIFL enhances communication speed and reliability in modern data centers.

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.

Racing-CVGP enhances symbolic regression efficiency in discovering mathematical equations.

V-nets offer a new perspective on deep learning efficiency and performance.

This article examines the link between deep learning and renormalization group methods using the Ising model.

A study on parallelizing neural networks using the Go programming language.

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.

This work enhances design approaches for fluid-structure interaction problems involving significant deformations.

A new numerical scheme improves SIS model accuracy for disease dynamics.

A new algorithm simplifies simulations of complex fluid flows without eigenvalue decomposition.

A new method enhances training efficiency for Deep Operator Networks.

New method improves the study of particle behaviors in active matter.

New framework boosts efficiency and accuracy in reduced-order modeling.

A method to break down complex data into simpler parts.

New methods offer better accuracy in solving parametric eigenvalue problems across various fields.

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.

A new approach enhances the study of complex networks through efficient curvature computation.

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.

CRIL combines reversibility and concurrency for efficient programming.

This article presents a type system for managing locks in programming.

The decline of SOS research prompts a look at its future prospects.

Learn how session types ensure safe communication in software systems.

Timed Rebeca models asynchronous systems with time-sensitive message handling.

Learn about code generation, optimization techniques, and their importance in programming.

A fresh approach to checking the correctness of programs that use randomness.

Analog computing offers unique advantages for real-time data processing and specialized tasks.

Exploring how fabrics enhance robotic movement and learning.

A new method improves data collection for unmanned vehicles in changing environments.

Robots can now search for items using detailed language instructions more effectively.

New method improves predictions of human movement for robots and smart vehicles.

A new method helps robots jump accurately over uneven terrain more effectively.

A new method enhances how robots identify obstacles and navigate environments.

A new system helps robots navigate lavender fields without GPS.

MPCGPU speeds up control in robotics using GPUs for enhanced precision.

Improving the analysis of social media posts through text and image integration.

This article examines how social media can reveal personality traits through user data.

A study examining political divides in Pakistan using Twitter data from 2018 to 2022.

Research reveals limits of MCMC methods in connecting bipartite graphs effectively.

New algorithm MuLaN enhances analysis of multilayer networks in biology and medicine.

Examining Ukraine's use of memes for wartime communication on social media.

Examines how recommendation systems shape user perspectives and public discussions.

Examining how social media influenced information sharing in the pandemic.

CRIL combines reversibility and concurrency for efficient programming.

Timed Rebeca models asynchronous systems with time-sensitive message handling.

A new system enhances the diagnosis of outages in cloud services using data.

A new method enhances API suggestions to support software development.

A new approach to fixing compilation errors with minimal code changes.

Learn how program variants can improve WebAssembly security against vulnerabilities.

A new method improves automated test generation by focusing on key coverage goals.

A new framework aims to improve the collection and understanding of software vulnerabilities.

Phoneme Hallucinator transforms voice conversion with limited data for clearer outputs.

A new method creates realistic gestures from raw speech audio.

Enhancing hybrid ASR systems for bilingual speech using grapheme units.

A new model improves speech and text alignment for better automatic recognition.

Lip2Vec enhances visual speech recognition using fewer labeled data.

New methods enhance accuracy and speed in speech recognition systems.

O-1 improves speech recognition by optimizing self-training methods.

A new method enhances ASR performance through text data integration.

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.

Innovative approach to secure communications in resource-limited IoT devices.

Improving the design of wave energy converters can enhance power generation from ocean waves.

New methods offer better accuracy in solving parametric eigenvalue problems across various fields.

Offshore microgrids enhance energy supply and fresh water access on islands.

A new approach to improve autoscaling for serverless functions using reinforcement learning.

Examining the limitations of state-space algorithms in understanding system interactions.

A new approach to manage cloud resources effectively and quickly.

This article discusses the use of machine learning in traffic management.