Computer Science

Examining the complexities of adapting to changing environments in machine learning.

OpenFlamingo offers a versatile platform for training models that connect images and text.

Researchers enhance drug screening methods for viral diseases through graph neural fingerprints.

EmbeddingTree enhances understanding of embeddings by organizing data features hierarchically.

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

Automated attacks on DNN accelerators can reveal model details with minimal effort.

Utilizing knowledge graph embedding to improve welding quality in automotive manufacturing.

A method to enhance query classification using different model strategies.

A study on enhancing communication in dialogue systems through effective strategies.

Researchers develop methods to identify text created by machines versus humans.

New research improves matching images with text by addressing mismatched relations.

A look into improving dialogue systems using user opinions and experiences.

Training models to better handle complex inquiries using multitasking and retrieval.

Research examines GPT-4's consistency in rating student responses in macroeconomics.

Examining how biases in AI affect job suggestions for different groups.

This study examines sentiment analysis models focusing on accuracy and resource efficiency.

Understanding the gaps in asymptotic subrank and slice rank of 3-tensors.

Boolean functions are key in algorithms, coding, and cryptography.

An overview of determinants and algebraic branching programs in complexity theory.

A look at qualitative and quantitative methods in understanding probability.

Methods to improve learning models amidst data shifts in various fields.

Study of moving tokens between minimum separators in graphs using sliding and jumping models.

Research focuses on efficient algorithms for k-factors in graph theory.

This article examines the complexity of counting the Brouwer degree in polynomials.

New methods improve blood flow studies using advanced neural networks.

Using neural networks can enhance predictions in hydrogen combustion processes.

Research into prechambers aims to improve gas engine efficiency and reduce emissions.

New model enhances understanding of thermal radiation in freeze drying processes.

Enhancing model performance for better predictions in engineering systems.

An overview of fluid dynamics, focusing on equations, boundary conditions, and turbulence models.

A new method improves efficiency in solving complex electromagnetic problems.

A study on improving acoustic material design through advanced simulations.

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.

Examining the significance of k-metrics in mathematics and computer science.

A novel approach to accurately describe and adjust distortions in 3D data.

A look at how distance measures impact various fields through curve comparison.

A study on efficiently spacing points in two-dimensional space.

Examining how committees can effectively handle candidate failures in elections.

Examining how incentive structures affect validator behavior in decentralized networks.

Discover advancements in decentralized Q-learning for multi-agent systems.

Investigating how markets can reach equilibrium with asynchronous actions.

Examining strategies for balancing energy management and decision-making in game theory.

Exploring how general models adapt to specific tasks through collaboration.

Explore how contracts can be structured to influence agent behavior effectively.

A look at how campaigns use data to influence district fairness.

Examining how committees can effectively handle candidate failures in elections.

METAFormer improves autism classification using advanced MRI techniques and deep learning.

Innovative methods improve identification of rare anomalies in medical imaging.

OpenFlamingo offers a versatile platform for training models that connect images and text.

A new method improves fairness in medical imaging predictions.

Discover how smartphone technology simplifies long exposure photography for everyone.

This paper examines pre-training methods to improve DETR model performance in object detection.

A novel approach enhances long-term object tracking using multiple trackers for improved accuracy.

A new hybrid system boosts real-time tracking performance.

Learn how analyzing actions enhances educational outcomes.

Examining how biases in AI affect job suggestions for different groups.

Examining the fairness of college admissions for Asian American applicants.

Examining how biases differ across languages and their impact on language models.

Examining how lurkers influence fake news detection on social media.

Federated learning allows secure collaboration while keeping sensitive data private.

A study investigates fairness in Yelp's recommendation and ranking systems.

This study reveals biases in how autonomous cars detect pedestrians based on age and skin tone.

A new method focuses on binary code behaviors for better similarity detection.

A new protocol enhances time-lock puzzles for secure future communications.

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

A new approach to enhance the security of autonomous vehicles against cyber threats.

Automated attacks on DNN accelerators can reveal model details with minimal effort.

A new system enhances accessibility and security in staking with NFTs and smart contracts.

A new method improves privacy and model training in federated learning.

Learn about the risks of sound-based keyboard attacks and how to protect yourself.

Examining the complexities of adapting to changing environments in machine learning.

Exploring efficient methods for connecting nodes across networks with Universal Steiner Trees.

This article examines twin-width and tree-width as important graph measurements.

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

A new encoding scheme improves graph representation and access efficiency using multiple classes.

Learn about correlation clustering and its real-world applications.

A new look at Group LASSO's role in feature selection and optimization.

New methods aim to improve compressibility measurement for two-dimensional data.

A study investigates fairness in Yelp's recommendation and ranking systems.

SJTU-H3D provides essential tools for evaluating the quality of digital humans.

A user-friendly system for managing and analyzing geospatial video data.

Streamlining diverse data access through federated systems.

TeraHAC efficiently clusters large graphs, enhancing data analysis for various fields.

Learn how blockchain can verify product authenticity and combat counterfeits.

Analyze data more effectively with real-time visualizations and automatic updates.

This research focuses on improving entity alignment methods in knowledge graphs.

Examining how skill alignment enhances research outcomes in academic institutions.

This study examines how hyperauthorship affects the assessment of scientific collaboration.

A new tool simplifies access to scientific data for researchers.

New methods help in reading damaged Herculaneum papyri using technology.

This study evaluates how reproducible Jupyter notebooks are in biomedical research.

A look at how academics present co-authors on online profiles.

Introducing a structured approach to improve peer review processes in academic publishing.

Examining the relationship between handwriting changes and emotional expressions in diary entries.

This article examines twin-width and tree-width as important graph measurements.

Learn about correlation clustering and its real-world applications.

Exploring efficient methods to tackle complex graph challenges in real-time settings.

Exploring the complexities of edge coloring in graph theory and wireless networks.

This article details a powerful parallel method for solving positive linear programs in graphs.

A look into shallow hitting edge sets and their significance in hypergraphs.

New methods improve the structure and size of Condorcet domains in decision-making.

Study of signed graphs reveals new coloring methods and properties.

A new method improves privacy and model training in federated learning.

SemCloud offers efficient management of diverse data sources in the cloud.

A system to balance workloads among actors for better data processing.

A new method improves accuracy in predicting cloud system failures.

PDS-Net enhances QoS predictions by effectively managing noisy data.

Examining the potential and challenges of Federated Machine Learning in preserving privacy.

ScalOTA improves OTA updates for vehicles using update stations for faster and secure downloads.

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

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 methods to simulate complex bosonic systems using advanced quantum techniques.

Learn how molecular communication and AI enhance information transfer in various fields.

Optical systems could transform deep learning by processing data faster and more efficiently.

A new method enhances optical computing by improving training efficiency and performance.

A new framework, SerIOS, improves hardware security in optoelectronic systems.

Researching structures and methods for quick information retrieval in text.

Study focuses on using CTL+Sync with One-Counter Automata for model verification.

Bridging the gap between smart models and practical decision-making for robots.

A look into omega-regular reward machines for better AI learning.

Innovative methods for testing complex pushdown reactive systems to ensure reliability.

EduSAT simplifies learning Boolean concepts with practical tools and interactive features.

An overview of matching patterns with variables in computer science.

A look into static analysis, CFL reachability, and their implications in computing.

Discover how smartphone technology simplifies long exposure photography for everyone.

A new method enhances 3D hologram quality by considering eye movement.

A new Python package simplifies downsampling large time series datasets for better visualization.

Introducing a flexible framework for visualizing and analyzing complex data sets.

Leaven streamlines surface and volume sampling for 3D shapes in simulations.

A new method enhances the simulation of granular materials for real-time applications.

Our system improves AR by accurately estimating lighting and generating realistic shadows.

A new method enhances comparisons of scalar fields using merged techniques.

This article discusses STT-MRAM's benefits and challenges for deep neural networks.

iEDA offers an open-source platform for streamlined chip design processes.

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

New hardware system enhances GNN inference speed and efficiency for real-time applications.

SoftFlow helps identify security issues in electronic device design, protecting sensitive data.

PPIMCE enhances performance in secure data processing without compromising privacy.

This article discusses memory safety challenges and a new solution: Data-Pointer Tagging.

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

Explore how automatic labeling enhances understanding of line charts.

Examining user privacy and peer surveillance in identity-based online communities.

Tirtha enables crowdsourced documentation of cultural heritage sites through 3D modeling.

A new method enhances speed and efficiency in binary classification data annotation.

A look into brain activity when we think, read, or listen.

Introducing a flexible framework for visualizing and analyzing complex data sets.

Using language models to simplify problem-solving in constraint programming.

A new tool allows users to manage chatbot memory for clearer conversations.

Discover how NNBR enhances grocery shopping by suggesting new products.

A method to enhance query classification using different model strategies.

PDS-Net enhances QoS predictions by effectively managing noisy data.

A new model, ADRNet, improves predictions of drug-related side effects.

This article discusses how seasonal trends enhance query autocomplete systems.

A new method enhances search accuracy by correcting user typing errors.

A study comparing ChatGPT and RegexT for identifying overweight pets.

A new method enhances recommendations for less popular items.

New quantum codes improve error correction for quantum computers, focusing on burst errors.

Exploring how to arrange quantum states for better information extraction.

A new method enhances speed and efficiency in binary classification data annotation.

OKO improves prediction accuracy and calibration by learning from sets of data points.

Innovative strategies improve energy delivery for IoT devices using wireless power transfer.

Machine learning enhances the efficiency of quantum communication systems.

Examining the challenges and solutions for connected and autonomous vehicle operations.

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

Learn about program termination and its significance in concurrent programming.

RealCQA offers a fresh approach to tackling chart question answering challenges.

Introducing a program logic to enhance reasoning for higher-order, stateful software.

Exploring the role of subexponentials in modern logical systems.

A new method blends logical programming with probabilistic models to improve decision-making.

Analyzing uncertain systems through probabilistic model checking and game theory insights.

This study enhances Description Logic by incorporating numerical reasoning for clearer conclusions.

A look into the role of Lindström quantifiers in logic and computer science.

Examining the complexities of adapting to changing environments in machine learning.

METAFormer improves autism classification using advanced MRI techniques and deep learning.

Learn how Bayes' Theorem helps manage uncertainty in decision-making.

OpenFlamingo offers a versatile platform for training models that connect images and text.

Discover how smartphone technology simplifies long exposure photography for everyone.

Researchers enhance drug screening methods for viral diseases through graph neural fingerprints.

EmbeddingTree enhances understanding of embeddings by organizing data features hierarchically.

Discover how NNBR enhances grocery shopping by suggesting new products.

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.

CDL aids in studying permutations and arrangements in computer and social sciences.

A study reviewing different formulations for cutting shapes efficiently.

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.

Discover advancements in decentralized Q-learning for multi-agent systems.

Investigating how markets can reach equilibrium with asynchronous actions.

A look into how value extraction operates across multiple blockchains.

GraphCC enhances congestion control through real-time optimization and machine learning techniques.

Simulations help analyze how diseases spread and improve public health responses.

A look at how influence spreads through social networks.

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

FAST revolutionizes scene text editing with natural modifications and flexibility.

A new method combines sketches and text to improve 3D shape generation.

A new framework for safeguarding prompt creators' rights in AI tools.

A new approach improves efficiency in Vision-Language Pre-training tasks.

DiffSynth enhances video quality by reducing flickering and improving frame blending.

A look at how Minimax Optimization enhances Spiking Neural Networks efficiency.

Jade improves video quality through user feedback and adaptive streaming techniques.

Learn how to predict VoIP traffic to enhance network performance.

New technologies push the limits of passive optical networks for faster internet speeds.

New machine learning framework improves EDFA performance predictions with minimal data.

AutoML4ETC automates the creation of neural networks for classifying encrypted network traffic.

Web 4.0 aims for smarter, integrated online experiences through advanced technology.

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

DiCuPIT enhances Pending Interest Management in Named Data Networking.

Learn how mmWave sensing is changing communication and health monitoring.

A new ConvNet design enhances flexibility and adaptability through continuous symmetry.

A framework to enhance machine learning predictions with clarity and trust.

This article examines how neuroevolution improves vehicle trajectory prediction through multi-objective optimization.

A new method blends logical programming with probabilistic models to improve decision-making.

A new layer enhances DNNs' resistance to subtle input changes.

Researchers enhance computer models of the immune system through weighted finite state machines.

Study highlights methods to improve reservoir computing performance in complex predictions.

New designs improve efficiency and energy use in neuromorphic processors.

This study examines how waves affect floating objects in renewable energy projects.

This study enhances fluid flow predictions in porous materials using new mathematical approaches.

New method simplifies simulations for complex physical problems.

A look at matching pursuit's efficiency in approximating target functions with various dictionaries.

A look at beams under contact forces in engineering and biomechanics.

Exploring spherical basis functions for effective vector field approximations.

Investigating transformations to improve simulations of particle movement in fluids.

A new method combines machine learning and simulation to optimize THz radiation output.

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 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 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.

Enhancing data pipelines can improve deep learning recommendation systems' performance.

Learn how to measure the effectiveness of digital advertising campaigns.

Learn about gradual sensitivity typing and its role in enhancing programming security.

Learn how reactive probabilistic programming adapts to uncertainty in dynamic environments.

Introducing a program logic to enhance reasoning for higher-order, stateful software.

This work presents a method to improve code understanding in LLMs using symmetry.

New methods for monitoring complex systems using prefix transducers improve real-time verification.

Adjustments to MicroPython lead to better performance on CHERI platforms.

A systematic method for creating and manipulating non-wellfounded syntax in programming languages.

Web automation becomes easier with a system that learns from user actions.

Study shows robot workspace overlap affects comfort levels in users.

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

A new method improves visual odometry using both point and line features.

Learn how rules guide self-driving cars in traffic situations.

A new approach to assess the safety of AVs through counterfactual simulations.

FusionAD improves self-driving car performance using combined sensor data.

A new method enhances forklift movement safety in busy environments.

Exploring trust dynamics in human-robot teamwork for better collaboration.

Examining how lurkers influence fake news detection on social media.

Exploring the factors that drive collective action and its cyclical nature.

An automated system for scoring companies on their sustainability efforts using SDGs.

Federated learning allows secure collaboration while keeping sensitive data private.

This article explores overlapping community detection methods to tackle network manipulation.

A study on how social media reflects public emotions during major events.

Learn how NSBM helps analyze unlabeled networks and detect communities effectively.

Examining the views of Russian citizens on the Ukraine conflict through social media.

Identifying common flaws to improve manual testing quality.

PDS-Net enhances QoS predictions by effectively managing noisy data.

This study reviews open-source Simulink models to identify trends and practices.

TIPICAL enhances type inference, addressing challenges in programming with improved accuracy.

Exploring the use of synthetic health data to improve CDSS development.

MASC provides a new approach to test crypto-API misuse detectors effectively.

This study reveals biases in how autonomous cars detect pedestrians based on age and skin tone.

Investigating the practice of developer focus in open-source microservices.

Researchers develop a Conformer model to improve fake audio detection.

New methods improve early detection of Alzheimer's using speech and audio analysis.

Explore sound data from 41 musical instruments with detailed recordings.

New technologies improve communication for individuals with speech disorders.

A new system combines transcription and translation for better communication.

Whisper-AT combines speech recognition and audio tagging for improved performance.

A new approach that combines speech with language models for improved translation.

New method improves accuracy in turning piano audio into sheet music.

This article simplifies linear differential equations and their characteristics.

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

Combining machine learning with reasoning to improve decision-making capabilities in dynamic environments.

Language agents merge AI and decision-making for real-world tasks.

FMplex improves the efficiency of solving linear equations and inequalities.

Study of yeast kinases sheds light on cell signaling.

Exploring the need for safety and trust in AI systems.