yusuke1997/dblp-id-title huggingface dataset:
Deep learning probability flows and entropy production rates in active matter
Detailed temporal structure of communication networks in groups of songbirds
A Cooperative Perception Environment for Traffic Operations and Control
Does Documentation Matter? An Empirical Study of Practitioners' Perspective on Open-Source Software Adoption
Applying non-negative matrix factorization with covariates to label matrix for classification
DimReader: Using auto-differentiation to explain non-linear projections
Arabic Language Sentiment Analysis on Health Services
Spectral Efficiency Maximization for DMA-enabled Multiuser MISO with Statistical CSI
Girard's $!()$ as a reversible fixed-point operator
Modified SPLICE and its Extension to Non-Stereo Data for Noise Robust Speech Recognition
What if I ask in alia lingua ? Measuring Functional Similarity Across Languages
Detecting AI-generated Artwork
PAST: A multimodal single-cell foundation model for histopathology and spatial transcriptomics in cancer
Dataset Augmentation for Pose and Lighting Invariant Face Recognition
Phase-Locked SNR Band Selection for Weak Mineral Signal Detection in Hyperspectral Imagery
Evolving Neural Selection with Adaptive Regularization
Cognitive factors that affect the adoption of autonomous agriculture
Convergence of Nearest Neighbor Pattern Classification with Selective Sampling
Index-based Solutions for Efficient Density Peaks Clustering
Bulk-synchronous pseudo-streaming algorithms for many-core accelerators
Statistical Analysis of Dice CAPTCHA Usability
DINO-LG: A Task-Specific DINO Model for Coronary Calcium Scoring
Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms
A Test-Time Learning Approach to Reparameterize the Geophysical Inverse Problem with a Convolutional Neural Network
A greedy algorithm for the minimization of a ratio of same-index element sums from two positive arrays
Fast Feeder Reconfiguration via Mesh Adaptive Direct Search in Black-Box Distribution System Environments
Trear: Transformer-based RGB-D Egocentric Action Recognition
A Survey of Generative AI for De Novo Drug Design: New Frontiers in Molecule and Protein Generation
Differential Privacy for Class-based Data: A Practical Gaussian Mechanism
Reproducing kernel Hilbert spaces, polynomials and the classical moment problems
In-situ animal behavior classification using knowledge distillation and fixed-point quantization
Obstructions to Compositionality
Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model
Predictive Churn with the Set of Good Models
ENTER: Event Based Interpretable Reasoning for VideoQA
Optimal WiFi Sensing via Dynamic Programming
Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model?
Pretraining LLM with Latent Thoughts in Continuous Space
Mapping the AI Divide in Undergraduate Education: Community Detection in Disciplinary Networks and Survey Evidence
Probabilistic Handshake in All-to-all Broadcast Coded Slotted ALOHA
Inference-Time Selective Debiasing
YOPOv2-Tracker: An End-to-End Agile Tracking and Navigation Framework from Perception to Action
Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback
Data for Inclusion: The Redistributive Power of Data Economics
Multiscale Graph Construction Using Non-local Cluster Features
Interactive Fusion of Multi-level Features for Compositional Activity Recognition
Head and Body: Unified Detector and Graph Network for Person Search in Media
Overcoming Support Dilution for Robust Few-shot Semantic Segmentation
Identifying the Most Influential Driver Nodes for Pinning Control of Multi-Agent Systems with Time-Varying Topology
Distributed Ledger Technology, Cyber-Physical Systems, and Social Compliance
Asymptotic Security using Bayesian Defense Mechanisms with Application to Cyber Deception
A Software Development Methodology for Research and Prototyping in Financial Markets
Is Pre-training Truly Better Than Meta-Learning?
STACK: Adversarial Attacks on LLM Safeguard Pipelines
BLASST: Dynamic BLocked Attention Sparsity via Softmax Thresholding
Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series
Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG
CoCoG: Controllable Visual Stimuli Generation based on Human Concept Representations
A Legal Risk Taxonomy for Generative Artificial Intelligence
Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection
Efficient Feedback Design for Unsourced Random Access with Integrated Sensing and Communication
Performance Analysis of Supervised Machine Learning Algorithms for Text Classification
Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning
Adaptive Output Feedback MPC with Guaranteed Stability and Robustness
Embedding Domain-Specific Knowledge from LLMs into the Feature Engineering Pipeline
Estimation of Correlation Matrices from Limited time series Data using Machine Learning
Investigation of Zero-shot Text-to-Speech Models for Enhancing Short-Utterance Speaker Verification
Almost Optimal Tensor Sketch
Diffusion Models in Recommendation Systems: A Survey
Algorithmic Tradeoffs in Fair Lending: Profitability, Compliance, and Long-Term Impact
Local Approximations, Real Interpolation and Machine Learning
State Space Computation and Analysis of Time Petri Nets
DeepKeyGen: A Deep Learning-based Stream Cipher Generator for Medical Image Encryption and Decryption
Reaching optimal distributed estimation through myopic self-confidence adaptation
TensorAR: Refinement is All You Need in Autoregressive Image Generation
Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning
Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives
Optimal Capacity Modification for Strongly Stable Matchings
Quantum Algorithms for Projection-Free Sparse Convex Optimization
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes
On the Likelihood of Single-Peaked Preferences
A complete character recognition and transliteration technique for Devanagari script
Learning Graph Filters for Spectral GNNs via Newton Interpolation
Sparsity-Aware Deep Learning for Automatic 4D Facial Expression Recognition
Dynamic Policy Learning for Legged Robot with Simplified Model Pretraining and Model Homotopy Transfer
Understanding Deep Architectures using a Recursive Convolutional Network
Connection-Aware P2P Trading: Simultaneous Trading and Peer Selection
A Treatise on Stability of Autonomous and Non-autonomous Systems: Theory and Illustrative Practical Applications
Federated Learning framework for LoRaWAN-enabled IIoT communication: A case study
SmartSustain Recommender System: Navigating Sustainability Trade-offs in Personalized City Trip Planning
MAST: A Memory-Augmented Self-supervised Tracker
Online Monitoring of Spatio-Temporal Properties for Imprecise Signals
Information Masking and Amplification: The Source Coding Setting
Current-mode Memristor Crossbars for Neuromemristive Systems
Observer Design over Hypercomplex Quaternions
Small Open Models Achieve Near Parity with Large Models in Low Resource Literary Translation at a Fraction of the Cost
Metric Semantics for Probabilistic Relational Reasoning
Infinite chains in the tree of numerical semigroups
A Lookahead algorithm to compute Betweenness Centrality
Autonomous Blimp Control using Deep Reinforcement Learning
Linear Algorithm for Digital Euclidean Connected Skeleton
Safe Sequential Optimization for Switching Environments
Capacity Maximization for FAS-assisted Multiple Access Channels
A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation
The Power of Explainability in Forecast-Informed Deep Learning Models for Flood Mitigation
Graph cuts always find a global optimum (with a catch)
Bembel: The Fast Isogeometric Boundary Element C++ Library for Laplace, Helmholtz, and Electric Wave Equation
A Logic-Based Framework for Natural Language Inference in Dutch
Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search
Capacitor Optimization in Power Distribution Networks Using Numerical Computation Techniques
Capacity-Net-Based RIS Precoding Design without Channel Estimation for mmWave MIMO System
New Characterizations of Strategy-Proofness under Single-Peakedness
TRENDy: Temporal Regression of Effective Non-linear Dynamics
Forensic Dental Age Estimation Using Modified Deep Learning Neural Network
A Comparative Analysis of Ethical and Safety Gaps in LLMs using Relative Danger Coefficient
FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models
Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation Is Wasteful
Learning Function-to-Function Mappings: A Fourier Neural Operator for Next-Generation MIMO Systems
Inducing Hypernym Relationships Based On Order Theory
Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection
A Systematic Aspect-Oriented Refactoring and Testing Strategy, and its Application to JHotDraw
Lattice Coding and the Generalized Degrees of Freedom of the Interference Channel with Relay
Combining transmission speckle photography and convolutional neural network for determination of fat content in cow's milk - an exercise in classification of parameters of a complex suspension
Transforming Graphs for Enhanced Attribute-Based Clustering: An Innovative Graph Transformer Method
From Dark Matter to Galaxies with Convolutional Neural Networks
The Impact of Artificial Intelligence on Strategic Technology Management: A Mixed-Methods Analysis of Resources, Capabilities, and Human-AI Collaboration
VISTA: Vision-Language Imitation of Situational Thinking and Attention for Human-Like Driver Focus in Dynamic Environments
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects
CAP: Data Contamination Detection via Consistency Amplification
Scaling Transformer-Based Novel View Synthesis Models with Token Disentanglement and Synthetic Data
Studying the Feasibility and Importance of Software Testing: An Analysis
Attitudes Towards Migration in a COVID-19 Context: Testing a Behavioral Immune System Hypothesis with Twitter Data
Predicting municipalities in financial distress: a machine learning approach enhanced by domain expertise
Quantifying the Effects of Word Length, Frequency, and Predictability on Dyslexia
Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs
MIND-Edit: MLLM Insight-Driven Editing via Language-Vision Projection
Integrated Guidance and Control for Lunar Landing using a Stabilized Seeker
JacNet: Learning Functions with Structured Jacobians
Radio Transmission Performance of EPCglobal Gen-2 RFID System
TCR-EML: Explainable Model Layers for TCR-pMHC Prediction
Faster Mixing of Higher-Dimensional Random Reversible Circuits
Transformer-XL for Long Sequence Tasks in Robotic Learning from Demonstration
A New Noise-Assistant LMS Algorithm for Preventing the Stalling Effect
A Survey on Dynamic Job Scheduling in Grid Environment Based on Heuristic Algorithms
Safe Planning and Policy Optimization via World Model Learning
EdgeMORE: Improving Resource Allocation with Multiple Options from Tenants
Quantum security and theory of decoherence
LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
A Robust Deep Networks based Multi-Object MultiCamera Tracking System for City Scale Traffic
Semi-supervised Network Embedding with Differentiable Deep Quantisation
A Divide-and-Conquer Algorithm for Distributed Optimization on Networks
Inferring Actual Treatment Pathways from Patient Records
Skills-based on technological knowledge in the digital economy activity
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
A J-Symmetric Quasi-Newton Method for Minimax Problems
Standardisation of cyber risk impact assessment for the Internet of Things (IoT)
Self-Knowledge Distillation for Learning Ambiguity
Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning
Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator
Understanding Chat Messages for Sticker Recommendation in Hike Messenger
A Type-Theoretic Definition of Lax (∞,∞)-Limits
RenderSelect: a Cloud Broker Framework for Cloud Renderfarm Services
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions
Dual-track Music Generation using Deep Learning
AIR-Net: Adaptive and Implicit Regularization Neural Network for Matrix Completion
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Fast Line Search for Multi-Task Learning
Knowledge-Concealing Evidencing of Knowledge about a Quantum State
Fractional Operators Applied to Geophysical Electromagnetics
Edge-preserving Near-light Photometric Stereo with Neural Surfaces
PCM-trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials
Rethinking Epistemic Logic with Belief Bases
BAMBOO: a predictive and transferable machine learning force field framework for liquid electrolyte development
Position-based cryptography: Single-qubit protocol secure against multi-qubit attacks
On Parsimonious Explanations for 2-D Tree- and Linearly-Ordered Data
Appcessory Economics: Enabling loosely coupled hardware / software innovation
Computation of GIT quotients of semisimple groups
Towards Real-Time Estimation of Solar Generation From Micro-Synchrophasor Measurements
A Greedy link scheduler for Wireless Networks having Gaussian Broadcast and Multiple Access Channels
HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration
Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning
Efficient Implementation of Gaussian Process Regression Accelerated Saddle Point Searches with Application to Molecular Reactions
E 2 CFD: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer
Combining Hybrid Input-Output Automaton and Game Theory for Security Modeling of Cyber-Physical Systems
YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception
Presenting the Sense of Effort through Vibration Based on Force Estimated by Inverse Dynamics in Videos
LLM-Cure: LLM-based Competitor User Review Analysis for Feature Enhancement
Dynamic Belief Fusion for Object Detection
Autonomous Capability Assessment of Black-Box Sequential Decision-Making Systems
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling
Supporting the Digital Autonomy of Elders Through LLM Assistance
A Nasal Cytology Dataset for Object Detection and Deep Learning
C-ITS Environment Modeling and Attack Modeling
MCWDST: a Minimum-Cost Weighted Directed Spanning Tree Algorithm for Real-Time Fake News Mitigation in Social Media
Dynamic Filters in Graph Convolutional Networks
How much is said in a microblog? A multilingual inquiry based on Weibo and Twitter
Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
Face Retrieval using Frequency Decoded Local Descriptor
Cloud Uptime Archive: Open-Access Availability Data of Web, Cloud, and Gaming Services
Simulation of 3D elasto-acoustic wave propagation based on a Discontinuous Galerkin Spectral Element method
A Self-Driving Robot Using Deep Convolutional Neural Networks on Neuromorphic Hardware
Switched auxiliary loss for robust training of transformer models for histopathological image segmentation
Resilient-native and Intelligent NextG Systems
Reduced order modeling inversion of mono static data in a multi-scattering environment
A Monocular SLAM-based Multi-User Positioning System with Image Occlusion in Augmented Reality
RADIN: Souping on a Budget
Should Graph Neural Networks Use Features, Edges, Or Both?
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency
Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks
Variational Quantum Soft Actor-Critic for Robotic Arm Control
Optimizing Model Splitting and Device Task Assignment for Deceptive Signal Assisted Private Multi-hop Split Learning
Locality Relationship Constrained Multi-view Clustering Framework
Local certification of local properties: tight bounds, trade-offs and new parameters
BoostClean: Automated Error Detection and Repair for Machine Learning
REVISION:Reflective Intent Mining and Online Reasoning Auxiliary for E-commerce Visual Search System Optimization
Receding Horizon Recursive Location Estimation
Classifiers are Better Experts for Controllable Text Generation
Hacker Combat: A Competitive Sport from Programmatic Dueling & Cyberwarfare
Differentiable programming across the PDE and Machine Learning barrier
Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking
Learning to Combine Instructions in LLVM Compiler
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey
Human Action CLIPS: Detecting AI-generated Human Motion
Terahertz for Radar applications and Wireless Communication
Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans
AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions
No Peek: A Survey of private distributed deep learning
Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration
Fast Eigen Decomposition for Low-Rank Matrix Approximation
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
Some algebraic results in Description logics : Free model and inclusions, finite basis theorem, and completion of knowledge bases
Enhanced Automatic Generation Control (E-AGC) for Electric Power Systems with Large Intermittent Renewable Energy Sources
A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control
On-demand Mobility-as-a-Service platform assignment games with guaranteed stable outcomes
Collage: Automated Integration of Deep Learning Backends
Lifting the Veil: Unlocking the Power of Depth in Q-learning
How do "technical" design-choices made when building algorithmic decision-making tools for criminal justice authorities create constitutional dangers?
An improved explicit scheme for whole-building hygrothermal simulation
Nested Game for Coupled Power System with Energy Sharing and Transportation System
Multibeam Satellite Communications with Massive MIMO: Asymptotic Performance Analysis and Design Insights
Forward Kinematics of Object Transport by a Multi-Robot System with Deformable Sheet
A note on Türing's 1936
B-repLer: Semantic B-rep Latent Editor using Large Language Models
Data-Driven Optimal Power Flow: A Behavioral Systems Approach
Beyond Helly graphs: the diameter problem on absolute retracts
Evolution of Social Power for Opinion Dynamics Networks
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy
Bounds on the Number of Huffman and Binary-Ternary Trees
FocusNet: An attention-based Fully Convolutional Network for Medical Image Segmentation
A P Systems Variant for Reasoning about Sequential Controllability of Boolean Networks
TorchProteinLibrary: A computationally efficient, differentiable representation of protein structure
Intelligent Power Control for Spectrum Sharing: A Deep Reinforcement Learning Approach
Message Passing on the Edge: Towards Scalable and Expressive GNNs
How local constraints influence network diameter and applications to LCL generalizations
Cube: A Roblox View of 3D Intelligence
VDC-Agent: When Video Detailed Captioners Evolve Themselves via Agentic Self-Reflection
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
The Environmental Impacts of Machine Learning Training Keep Rising Evidencing Rebound Effect
A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics
Cryptanalysis of the SASI Ultralightweight RFID Authentication Protocol with Modular Rotations
Which Connected Spatial Networks on Random Points have Linear Route-Lengths?
Switching-time bioprocess control with pulse-width-modulated optogenetics
What is User Experience Really: towards a UX Conceptual Framework
Low-Resource Self-Supervised Learning with SSL-Enhanced TTS
Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation
The Scale-free Network of Passwords : Visualization and Estimation of Empirical Passwords
An Auction Approach to Spectrum Management in HetNets
InvSim algorithm for pre-computing airplane flight controls in limited-range autonomous missions, and demonstration via double-roll maneuver of Mirage III fighters
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
FINCH: Locally Visualizing Higher-Order Feature Interactions in Black Box Models
MatchFixAgent: Language-Agnostic Autonomous Repository-Level Code Translation Validation and Repair
Adversarial Feature Selection against Evasion Attacks
Mixed Preference Optimization: Reinforcement Learning with Data Selection and Better Reference Model
Learning Dynamical Systems from Partial Observations
Barcode and QR Code Object Detection: An Experimental Study on YOLOv8 Models
From Craft to Constitution: A Governance-First Paradigm for Principled Agent Engineering
When Exploiting Individual User Preference Is Beneficial for Caching at Base Stations?
espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology
DVCFlow: Modeling Information Flow Towards Human-like Video Captioning
Software Engineering Modeling Applied to English Verb Classification (and Poetry)
AlloyBERT: Alloy Property Prediction with Large Language Models
Cooperative HARQ Assisted NOMA Scheme in Large-scale D2D Networks
Practical Strategies of Active Learning to Rank for Web Search
Efficient and Accurate Downfacing Visual Inertial Odometry
The Minimax Complexity of Distributed Optimization
Stability Analysis of Infinite-dimensional Event-triggered and Self-triggered Control Systems with Lipschitz Perturbations
Lyapunov Control of Quantum Systems with Applications to Quantum Computing
Autonomous and Self-Adapting System for Synthetic Media Detection and Attribution
Modeling and Reasoning About Wireless Networks: A Graph-based Calculus Approach
CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
A Dual Framework for Optimized Data Storage and Retrieval using Lightweight Python Blockchain and Scalable Smart Contracts with IPFS
2D Supervised Monocular 3D Object Detection by Global-to-Local 3D Reconstruction
Design and implementation of a DApp to store health data
The Text Classification Pipeline: Starting Shallow going Deeper
Regular and First Order List Functions
Cross-Learning Between ECG and PCG: Exploring Common and Exclusive Characteristics of Bimodal Electromechanical Cardiac Waveforms
Geometric Complexity III: on deciding positivity of Littlewood-Richardson coefficients
DESign: Dynamic Context-Aware Convolution and Efficient Subnet Regularization for Continuous Sign Language Recognition
On some variance reduction properties of the reparameterization trick
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation
Continuum Limits of Markov Chains with Application to Network Modeling
iServe: An Intent-based Serving System for LLMs
Self-evolved Imitation Learning in Simulated World
Analysis of SINR Coverage in LEO Satellite Networks through Spatial Network Calculus
Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems
Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems