Computer Science

A new approach to enhance ECG classification through automated feature extraction.

A new network design can reduce costs in training large language models while maintaining performance.

New framework empowers robots to seek human guidance in unclear instructions.

Learn how to create controllers for managing complex timeline-based game environments.

A new AI tool streamlines data extraction from unstructured healthcare records efficiently.

Research focuses on improving information processing in safety-critical autonomous systems.

A study on improving model explanations to prevent incorrect medical diagnoses.

MARS framework optimizes deep neural networks on multi-accelerator systems.

A study on improving emotion detection in speech for diverse groups.

A new dataset aims to improve hate speech detection on social media.

New measures assess how dialogue summaries capture emotional tone.

A new AI tool streamlines data extraction from unstructured healthcare records efficiently.

This article explores how offline RL can enhance dialogue response quality.

A model to effectively identify and combat the spread of fake news.

This article discusses enhancing speech recognition using confidence-based ensemble methods.

This article highlights the role of reasoning in identifying biases within language models.

Examining the balance of fairness and efficiency in resource allocation.

Learn methods to efficiently assign tasks and workers while minimizing costs.

A new concept that merges computation and thermodynamics in Turing machines.

Investigating the Pilot Assignment problem's theories in Cell-Free Massive MIMO.

A look into how geophylogenies visualize species and their geographic connections.

A look into methods of obtaining randomness from structured sources.

A look into graph theory's role in identifying structures.

Explores stable subsets in cycles and their applications in computer science.

Essential tips for submitting your machine learning research to ICML.

Combining accuracy and clarity in engineering through machine learning and symbolic regression.

A new method for designing sound filters with wider frequency handling.

Introducing STZINB-GNN, a better model for predicting traffic accidents and uncertainties.

Innovative models improve groundwater management and prediction accuracy.

Desbordante is an open-source tool for effective data profiling and quality improvement.

Introducing the BubbleML Dataset for advanced studies in boiling dynamics.

Learn the basics of multibody system dynamics and its applications.

A detailed look at topologically attributed graphs for efficient shape classification.

This study focuses on identifying paths in networks of disks.

Exploring light reliable spanners and their impact on networks.

A look at how Möbius homology reveals connections in posets.

Discover how convex polygons in 3D depict graph connections effectively.

A method for efficiently managing independent sets of disks in computational geometry.

Exploring a novel approach to calculating Betti numbers using quantum computing.

A guide to reducing dimensions in high-dimensional data while preserving distances.

New methods help players improve poker strategies while minimizing risks.

A study on effective matching for maximizing project value in organizations.

Exploring fair allocation methods using Maximin Share principles.

A new framework for Liquid Democracy that considers time in voting decisions.

Examining the balance of fairness and efficiency in resource allocation.

Exploring how Q-Learning behaves in near-zero-sum competitive environments.

A study on Riemannian gradient descent and its application in complex game scenarios.

Examining how incentives shape statistical practices in scientific studies.

A new approach to enhance ECG classification through automated feature extraction.

Explore the difficulties and progress in robotic object pose estimation.

AdvDiff improves adversarial examples using diffusion models for better visual quality.

New method improves medical image segmentation using implicit patch embeddings.

RANSAC-NN offers a fresh method for detecting outliers in image datasets without prior data cleaning.

DCD enhances training efficiency for Energy-Based Models in various applications.

New methods enhance the calibration of neural networks trained on distilled datasets.

New methods improve security and accuracy in facial recognition systems.

Explore how changing student connections impact learning outcomes.

A model to effectively identify and combat the spread of fake news.

This article highlights the role of reasoning in identifying biases within language models.

Combining neural networks and symbolic reasoning to enhance AI in cybersecurity.

Examining the impact of Mixed Reality on bystander privacy rights.

Opti-mile enhances public transit access in New Delhi, reducing travel distance and improving user experience.

High Courts in India face a severe backlog impacting justice delivery.

Investigating fairness in ML systems considering multiple protected attributes.

Ideal lattices provide security benefits and challenges in cryptographic systems.

This article explores methods to improve electric grid reliability through islanding.

Exploring the security challenges and solutions in the evolving Web 3.0 landscape.

This article discusses importance sampling and its role in maintaining data privacy.

Combining neural networks and symbolic reasoning to enhance AI in cybersecurity.

Exploring how AI can support penetration testers in finding system vulnerabilities.

Examining sensor selection to ensure effective behavior monitoring while respecting privacy.

A look at the evolving dynamics of decentralized finance lending.

A new method tackles the Shortest Two Disjoint Paths problem amidst negative weights.

Explore activation costs and challenges in efficient network connectivity.

A study on scheduling jobs efficiently using two machines and one server.

A new method improves clustering efficiency in changing data environments.

Discover efficient methods for analyzing maximal common subsequences in strings.

A look at how k-means++ handles noise in data clustering.

This study presents a method for improving Regular Path Queries using Boolean matrices.

Exploring how Fermat distances improve data analysis and clustering techniques.

MorphStream improves data stream management for real-time applications.

A new approach to make ranking systems fairer for all groups.

Auto-Tables automates the conversion of non-relational tables for easier data analysis.

This study presents a method for improving Regular Path Queries using Boolean matrices.

Desbordante is an open-source tool for effective data profiling and quality improvement.

A new approach to handle missing data in SQL without nulls.

Introducing a new model for improved air quality predictions.

Exploring how blockchain technology can reshape copyright management for creators.

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

A new method for extracting keywords from texts without external databases.

Research is evolving to include essential datasets and software for validation.

A novel method aids in recognizing uncertainty within research texts.

A tool for maintaining confidentiality and integrity in research data management.

An overview of key papers on NLP and ML from early 2023.

A resource connecting global authors and works, focusing on underrepresented voices.

Examining how skill alignment enhances research outcomes in academic institutions.

Exploring efficient patrolling methods using insights from the Fagnano Triangle problem.

Explore how Condorcet domains shape collective decision-making in voting.

Exploring the balance of graph colorings and their implications in mathematics.

A look into how geophylogenies visualize species and their geographic connections.

A look into methods of obtaining randomness from structured sources.

Exploring how vertices work together in graph structures.

Examining different game models of Cops and Robber on directed graphs.

A look into independent sets, Boolean networks, and their complexities.

Exploring the security challenges and solutions in the evolving Web 3.0 landscape.

MARS framework optimizes deep neural networks on multi-accelerator systems.

Exploring how simple robots can meet on a triangular grid.

MorphStream improves data stream management for real-time applications.

EdgeConvEns improves deep learning while keeping data private and secure.

HUGE simplifies graph embedding for large datasets using TPUs.

A new algorithm streamlines communication in feature-distributed data analysis.

An overview of labeled graphs and their verification properties.

Exploring the role of STT-MTJ technology in enhancing random number generation.

A novel method enhances DNN performance for real-world applications.

This article explores new computing methods inspired by biological systems.

A new method improves Ising machines' efficiency in solving complex optimization problems.

A look into hyperdimensional computing's methods and benefits.

Exploring the dangers of backdoor attacks in Quantum Neural Networks.

Exploring how to measure and improve the reliability of NISQ devices.

New framework improves QNN training with encrypted data and privacy protection.

Exploring the role of saturating automata in understanding concurrent programming.

Research focuses on minimizing registers in weighted and cost register automata.

A look into counter nets, their functions, and unresolved questions.

A method for analyzing and categorizing complex systems through partitioning.

Explore the dynamics and strategies of bidding games between players.

This article discusses regular languages and their significance in formal systems.

An overview of tree transducers, focusing on macro tree transducers and their key properties.

A look into how forgetting-limited automata process information and compare to other machines.

New tools improve learning experiences for medical students studying anatomy.

Streamlining the creation of SDQ meshes for better fabrication processes.

A new method improves the creation of realistic character movements in animation.

A new method to explore periodic behaviors in datasets over time.

A new tool streamlines the process of creating animated text using GIFs.

A method for artists to easily manage textures and shapes in their work.

A look into how ML and human input shape effective taxonomies.

A new approach to improve graphics quality in video games through neural networks.

MARS framework optimizes deep neural networks on multi-accelerator systems.

Neuromorphic computing offers new ways to process data inspired by the human brain.

A new approach improves polynomial modular multiplication for secure data processing.

A look at how reservoir computing tackles time-dependent data challenges.

MASE simplifies and speeds up ML accelerator development for modern machine learning models.

BearingPGA-Net offers an efficient way to diagnose bearing faults using FPGA technology.

New codes improve memory device reliability against soft errors effectively.

Exploring risks of data leaks in CPU-GPU integrated systems.

Study reveals how user ratings impact the effectiveness of recommendation systems.

FSLens uses data visualization to optimize fire station placement for better community safety.

A new dataset for comparing phone and tablet GUIs enhances automated development efforts.

Exploring how user personality affects engagement strategies in mobile apps.

A university initiative aims to cut food waste through engagement and awareness.

A method for developers to create TV-friendly app designs efficiently.

New tools improve learning experiences for medical students studying anatomy.

A new tool improves how charts and captions align for better reader retention.

RANSAC-NN offers a fresh method for detecting outliers in image datasets without prior data cleaning.

Study reveals how user ratings impact the effectiveness of recommendation systems.

Exploring how item removal affects recommendations in sequential systems.

RRAML combines language models with a retriever for improved content generation.

A new model enhances shopping experiences through category-focused suggestions.

HeteFedRec improves federated recommendation systems while protecting user privacy.

These models enhance user engagement by focusing on the context of interactions.

Improving recommendations for users with unique tastes.

Examining how specific functions can perfectly reconstruct random variables.

A new method enhances device communication in wireless networks.

A look at a two-phase access method for efficient IoT communication.

CAZAC sequences enhance performance in communication systems through unique properties and techniques.

A look into CSS codes and their role in quantum error correction.

Feature selection simplifies data analysis by identifying key variables.

Addressing fairness in machine learning to ensure equal treatment for all groups.

An overview of hypergraphs and their applications in various fields.

A look into non-normal modal logics enhancing agent interactions and reasoning.

A structured approach to teaching formal reasoning using calculational proofs and proof checkers.

A deep dive into the essential qualities of reversible computation systems.

Learn how asynchronous programming improves efficiency and code structure.

An overview of the significance and application of parametric subtyping in programming.

A new method for analyzing functional programs using higher-order term rewriting systems.

This article examines call-by-value higher-order rewriting in programming.

A new approach to analyzing Hercules' fight against the Hydra using term rewriting.

A new approach to enhance ECG classification through automated feature extraction.

A new network design can reduce costs in training large language models while maintaining performance.

AdvDiff improves adversarial examples using diffusion models for better visual quality.

RANSAC-NN offers a fresh method for detecting outliers in image datasets without prior data cleaning.

Introducing a new method for efficient Wasserstein distance computation in large datasets.

A new approach enhances the detection and understanding of neutrinos in particle physics.

DCD enhances training efficiency for Energy-Based Models in various applications.

New methods enhance the calibration of neural networks trained on distilled datasets.

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

FFTc aims to improve FFT computations across hardware platforms.

Examining how one factor influences another through data and methods.

Scylla offers an efficient method for tackling mixed-integer optimization problems.

Streamline causal analysis using Tetrad combined with Python and R.

Graph4J offers an efficient Java library for graph algorithms using simple structures.

Exploring new methods for efficient data storage and computation.

Discover EDOLAB, a platform for tackling changing optimization problems.

Examining sensor selection to ensure effective behavior monitoring while respecting privacy.

A new method improves fairness in participatory budgeting by promoting dialogue among voters.

A new approach to improve private data trading accuracy and privacy.

This paper introduces responsibility anticipation for better decision-making in multi-agent interactions.

AI research focuses on improving human-like communication in artificial agents.

MetaGPT enhances collaboration among agents for more effective task-solving.

A new framework improves safe learning among robotic agents by addressing experience sharing risks.

A new method enhances federated learning security against data poisoning attacks.

Study uses multi-data device to track infant sleep patterns more accurately.

A new approach to enhance image labeling accuracy in machine learning.

A new method improves action recognition by using fewer frames without losing important context.

A new method enhances how images match text inputs.

Exploring how blockchain technology can reshape copyright management for creators.

A new way to assess health using just a smartphone image.

A new tool streamlines the process of labeling video data effectively.

A new method combines image style and content to interpret emotions accurately.

A new network design can reduce costs in training large language models while maintaining performance.

Exploring AI's role in managing complex 6G network demands.

New algorithms enhance video streaming quality and reduce interruptions.

A look into how users feel about Starlink's internet service.

A look into the rise of larger IPv6 address lists and their implications.

Learn how to enhance wireless networks for critical industries.

Explore strategies to enhance information sharing in large networks.

This article discusses multicast polling to enhance IoT network efficiency and energy use.

Discover the latest innovations in portfolio optimization and risk management.

New methods enhance the efficiency of Spiking Neural Networks through reduced firing.

New method enhances learning in Spiking Neural Networks by incorporating delay adjustments.

RAVENS mimics brain function to create adaptive computer chips.

A look at how reservoir computing tackles time-dependent data challenges.

Quantum state assignment flows enhance data analysis through flexible label assignments.

Exploring new methods for training recurrent neural networks effectively.

Exploring biological insights to enhance Deep Learning technologies.

A study on how tumor cells and healthy cells interact over time.

New adaptive methods improve Bayesian inference with Hamiltonian Monte Carlo.

A framework for understanding changing systems through data-driven techniques.

New methods address challenges in modeling materials and irregular shapes.

A look at operator learning and the HJ-Net framework for PDEs.

Exploring the Hyena Neural Operator's efficiency in solving partial differential equations.

This article presents a novel method for addressing complex advection-dominated diffusion challenges.

This article highlights reduced order models for solving fractional elliptic PDEs efficiently.

LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

Analyzing issues in predicting future actions in ongoing processes.

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

A new method for efficient data sharing between cloud functions.

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

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

A new framework helps scientists communicate and design better experiments.

A clear overview of work systems, their components, and management challenges.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

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

Analyzing data transmission issues in modern cellular networks and possible improvements.

A deep dive into FaaS performance and its impact on cloud computing.

A new automatic scheduler improves performance for image processing on edge devices.

A new processing unit improves computing with posit numbers.

Federated Learning enables data privacy while improving machine learning collaboration among diverse participants.

Industry and academia unite for better biomedical data processing.

Study analyzes CrUX dataset to improve web user experience metrics.

Explore a new method for efficient storage of sparse matrices to enhance performance.

Exploring the role of saturating automata in understanding concurrent programming.

An overview of essential ideas for effective process development.

Learn how asynchronous programming improves efficiency and code structure.

An overview of the significance and application of parametric subtyping in programming.

This study reviews API contract requirements found in developer discussions online.

This article examines how language models generate Verilog code effectively.

This article reviews the RRTF framework's impact on Code LLM performance.

Learn how lintcstubs enhances OCaml-C code safety and correctness.

Explore the difficulties and progress in robotic object pose estimation.

New framework empowers robots to seek human guidance in unclear instructions.

TransNet helps robots manipulate challenging transparent objects through advanced detection techniques.

A new method improves accuracy in mapping and tracking for robots using a single camera.

Discover how 7-DOF robots enhance flexibility and efficiency across various applications.

Examining sensor selection to ensure effective behavior monitoring while respecting privacy.

This study examines how LiDAR setups affect autonomous vehicles in off-road environments.

A method using examples to guide agents in decision-making.

Explore how changing student connections impact learning outcomes.

A look into indirect methods for understanding social networks.

A novel approach to identify misinformation using browsing patterns.

A new method leverages machine learning for identifying unknown disturbances in complex networks.

Study reveals key roads impacting hospital access during emergencies.

A new framework improves robustness of Graph Contrastive Learning against structural attacks.

Using deep learning to detect hate speech on social media.

An overview of hypergraphs and their applications in various fields.

A new dataset aims to improve hate speech detection on social media.

Simulation games improve students' grasp of software development processes in education.

Effective alignment enhances software quality and streamlines development processes.

Learn how static analysis and program repair enhance software security and reliability.

Examining the characteristics and security risks of on-device models in iOS apps.

Exploring how AI can support penetration testers in finding system vulnerabilities.

A new dataset for comparing phone and tablet GUIs enhances automated development efforts.

A review of strategies and measures in software process improvement initiatives.

A study on improving emotion detection in speech for diverse groups.

Study uses multi-data device to track infant sleep patterns more accurately.

3D-Speaker provides a vast collection of audio recordings for advanced speech analysis.

GenerTTS enhances text-to-speech technology for cross-lingual applications.

A new system enhances detection of manipulated audio through innovative techniques.

Improving speech recognition for overlapping voices enhances usability in various settings.

New methods enhance voice separation in mixed audio environments.

Learn how new techniques improve speech clarity in noisy environments.

This article explores a new dataset focused on inequalities in mathematics.

Examining how factoring resultants can enhance cylindrical algebraic decomposition methods.

This article simplifies linear differential equations and their characteristics.

This article examines conditional obligations and their significance in ethical reasoning.