yusuke1997/dblp-id-title huggingface dataset:
Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming
Experiments on Crowdsourcing Policy Assessment
Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems
Autonomous agile teams: Challenges and future directions for research
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series
DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Replacing the Framingham-based equation for prediction of cardiovascular disease risk and adverse outcome by using artificial intelligence and retinal imaging
Predicting Ground Reaction Force from Inertial Sensors
DIFFnet: Diffusion parameter mapping network generalized for input diffusion gradient schemes and bvalues
KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks
Authentication Devices in Fog-Mobile Edge Computing Environments Through a Wireless Grid Resource Sharing Protocol
Explainable Deep Reinforcement Learning for UAV Autonomous Navigation
Opportunistic Human Observation Attacks: Perils in Designing Zero-Effort Deauthentication
Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images
Contrastive Learning for Lane Detection via Cross-Similarity
Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
Exploring the influence of scale on artist attribution
Hydra: A method for strain-minimizing hyperbolic embedding
Teaming up with information agents
Research on Dangerous Flight Weather Prediction based on Machine Learning
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning
FOSSIL: Regret-Minimizing Curriculum Learning for Metadata-Free and Low-Data Mpox Diagnosis
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference
Phase Retrieval for L 2 ([-π, π]) via the Provably Accurate and Noise Robust Numerical Inversion of Spectrogram Measurements
VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models
Beyond One-Way Pruning: Bidirectional Pruning-Regrowth for Extreme Accuracy-Sparsity Tradeoff
Competition and Regulation in Wireless Services Markets
Efficient robust optimal transport: formulations and algorithms
On-the-fly Uniformization of Time-Inhomogeneous Infinite Markov Population Models
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving
Why do LLMs attend to the first token?
Online Learning and Planning in Cognitive Hierarchies
Scalable GPU Performance Variability Analysis framework
LLM Robustness Against Misinformation in Biomedical Question Answering
Synera: Synergistic LLM Serving across Device and Cloud at Scale
Embodied Cognition Guides Virtual-Real Interaction Design to Help Yicheng Flower Drum Intangible Cultural Heritage Dissemination
The Capacity of Some Pólya String Models
Deep Reinforcement Learning for mmWave Initial Beam Alignment
Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach
Statistical Mechanics of Nonlinear On-line Learning for Ensemble Teachers
Blind as a bat: audible echolocation on small robots
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning
Smoothing the Edges: A General Framework for Smooth Optimization in Sparse Regularization using Hadamard Overparametrization
The Evolution of Emojis for Sharing Emotions: A Systematic Review of the HCI Literature
Human Machine Social Hybrid Intelligence:A Collaborative Decision Making Framework for Large Model Agent Groups and Human Experts
Contrastive-SDE: Guiding Stochastic Differential Equations with Contrastive Learning for Unpaired Image-to-Image Translation
Regularization of the discrete source problem in the nonlinear diffusive-logistic equation
Hierarchical Prediction-based Management for LMaaS Systems
Time Development of Early Social Networks: Link analysis and group dynamics
An Analyst-Inspector Framework for Evaluating Reproducibility of LLMs in Data Science
IDPFilter: Mitigating Interdependent Privacy Issues in Third-Party Apps
Data Collection-free Masked Video Modeling
OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models
A Robust Adversary Detection-Deactivation Method for Metaverse-oriented Collaborative Deep Learning
Sensitivity Minimization by Stable Controllers: An Interpolation Approach for Suboptimal Solutions
A twin error gauge for Kaczmarz's iterations
Let Your Camera See for You: A Novel Two-Factor Authentication Method against Real-Time Phishing Attacks
On Recovering from Run-time Misbehaviour in ADR
Hardware-Assisted Detection of Firmware Attacks in Inverter-Based Cyberphysical Microgrids
The Disparate Impacts of College Admissions Policies on Asian American Applicants
Toward Discovering Options that Achieve Faster Planning
Obstacle Avoidance for Autonomous Mobile Robots Based on Mapping Method
Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data
Think Consistently, Reason Efficiently: Energy-Based Calibration for Implicit Chain-of-Thought
Analysis and application of a lower envelope method for sharp-interface multiphase problems
Temporal Triplane Transformers as Occupancy World Models
Fundamental Limits of Stochastic Caching Networks
Formalization Driven LLM Prompt Jailbreaking via Reinforcement Learning
Predicting First Passage Percolation Shapes Using Neural Networks
Study of Noncoherent Sparse Subarrays for Direction Finding Based on Low-Rank and Sparse Recovery
HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning
PyMigBench and PyMigTax: A Benchmark and Taxonomy for Python Library Migration
Harnessing Collective Intelligence Under a Lack of Cultural Consensus
Learning User Representations in Online Social Networks using Temporal Dynamics of Information Diffusion
New Curriculum, New Chance - Retrieval Augmented Generation for Lesson Planning in Ugandan Secondary Schools. Prototype Quality Evaluation
Disentangling the Gauss-Newton Method and Approximate Inference for Neural Networks
Audio-to-Image Encoding for Improved Voice Characteristic Detection Using Deep Convolutional Neural Networks
Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data
Real-time Video Prediction With Fast Video Interpolation Model and Prediction Training
Statistical inference using machine learning and classical techniques based on accumulated local effects (ALE)
Mapping the Spiral of Silence: Surveying Unspoken Opinions in Online Communities
Improving the coding speed of erasure codes with polynomial ring transforms
Empowering Language Models with Knowledge Graph Reasoning for Question Answering
A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm
Multi-Gbps HTTP Traffic Analysis in Commodity Hardware Based on Local Knowledge of TCP Streams
Robust approximate linear regression without correspondence
Model-driven deep neural network for enhanced direction finding with commodity 5G gNodeB
Deep Attributes from Context-Aware Regional Neural Codes
Towards a Taxonomy of Graph Learning Datasets
Fuzzy Integer Linear Programming Mathematical Models for Examination Timetable Problem
On Kernelization with Access to NP-Oracles
Connectivity of sparse Bluetooth networks
DVDnet: A Fast Network for Deep Video Denoising
Older Adults' Experiences with Misinformation on Social Media
Costas cubes
Proceedings 35th International Conference on Logic Programming (Technical Communications), ICLP 2019 Technical Communications, Las Cruces, NM, USA, September 20-25, 2019
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts
Compact Linearization for Binary Quadratic Problems subject to Assignment Constraints
Neurlux: Dynamic Malware Analysis Without Feature Engineering
Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach
Distributed Finite-Time Privacy-Preserving Optimal Allocation of Test Kits for Controlling Pandemic Spreading
GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Models
Enhanced Transformer-Based Tracking for Skiing Events: Overcoming Multi-Camera Challenges, Scale Variations and Rapid Motion - SkiTB Visual Tracking Challenge 2025
On Information Theoretic Fairness With A Bounded Point-Wise Statistical Parity Constraint: An Information Geometric Approach
Variational approach to relaxed topological optimization: closed form solutions for structural problems in a sequential pseudo-time framework
Evaluating Deep Clustering Algorithms on Non-Categorical 3D CAD Models
An Empirical Framework for Domain Generalization in Clinical Settings
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion Model
UMAP does not reproduce high-dimensional similarities due to negative sampling
A method for incremental discovery of financial event types based on anomaly detection
Interpretable Discovery in Large Image Data Sets
Detecting Dementia from Speech and Transcripts using Transformers
The Power of Many: A Physarum Swarm Steiner Tree Algorithm
Chinese Open Instruction Generalist: A Preliminary Release
Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining
Reverse Greedy is Bad for k-Center
Zyxin is all you need: machine learning adherent cell mechanics
Finite Element Approximation of the Fractional Porous Medium Equation
Large Language Model Safety: A Holistic Survey
Neuroevolution on the Edge of Chaos
Robust Seatbelt Detection and Usage Recognition for Driver Monitoring Systems
Enriching Information Technology Course Materials by Using Youtube
Agency in Artificial Intelligence Systems
Iterative energy reduction Galerkin methods and variational adaptivity
Understanding Image Captioning Models beyond Visualizing Attention
Coherent Design of Wind Turbine Controllers Considering Transitions between Operating Regions using Fuzzy Membership Functions
Explaining Genetic Programming Trees using Large Language Models
Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation
Energy Predictive Models for Convolutional Neural Networks on Mobile Platforms
Space-Time Galerkin Projection of Electro-Magnetic Fields
Quick Brown Fox in Formal Languages
RLHFSpec: Breaking the Efficiency Bottleneck in RLHF Training via Adaptive Drafting
On Achievable Rates for Long-Haul Fiber-Optic Communications
Judgement Citation Retrieval using Contextual Similarity
The Art NFTs and Their Marketplaces
3D convolutional neural network for abdominal aortic aneurysm segmentation
Surround-view Fisheye Camera Perception for Automated Driving: Overview, Survey and Challenges
How Initial Connectivity Shapes Biologically Plausible Learning in Recurrent Neural Networks
I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data
Stable C 1 -conforming finite element methods for the Landau-Lifshitz-Baryakhtar equation
Short review of lattice basis reduction types and his applications. (Russian)
Scaling Diffusion Transformers Efficiently via μP
DR2S : Deep Regression with Region Selection for Camera Quality Evaluation
InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation
A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs
A Moveable Beast: Partitioning Data and Compute for Computational Storage
On the robustness of hybrid control systems to measurement noise and actuator disturbances
An Approach for Decentralized Authentication in Networks of UAVs
Automatic Scale Estimation of Structure from Motion based 3D Models using Laser Scalers
How Cyber Criminal Use Social Engineering To Target Organizations
A New Optimal Stepsize For Approximate Dynamic Programming
Generative models for visualising abstract social processes: Guiding streetview image synthesis of StyleGAN2 with indices of deprivation
IRS-Assisted RF-powered IoT Networks: System Modeling and Performance Analysis
A Norm-Bounded based MPC strategy for uncertain systems under partial state availability
Unraveling Retraction Dynamics in COVID-19 Research: Patterns, Reasons, and Implications
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering
Wi-Chlorian: Wireless sensing and localization of contact forces on a space continuum
Quantum random number generation using photon arrival time selectively without post-processing
SPHENIC: Topology-Informed Multi-View Clustering for Spatial Transcriptomics
Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset
Multivariate and Multi-step Traffic Prediction for NextG Networks with SLA Violation Constraints
Realization of spatial sparseness by deep ReLU nets with massive data
Closed-loop Feedback Registration for Consecutive Images of Moving Flexible Targets
Is current research on adversarial robustness addressing the right problem?
Random Processes with High Variance Produce Scale Free Networks
A Subquadratic Two-Party Communication Protocol for Minimum Cost Flow
Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions
Continuous-Time Model-Based Reinforcement Learning
A formal model of Algorand smart contracts
Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering
The k-Facility Location Problem Via Optimal Transport: A Bayesian Study of the Percentile Mechanisms
Engaging in Dialogue about an Agent's Norms and Behaviors
A generalization of the Kővári-Sós-Turán theorem
Wavenumber-explicit stability and convergence analysis of hp finite element discretizations of Helmholtz problems in piecewise smooth media
Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions
CReIS: Computation Reuse through Image Similarity in ICN-Based Edge Computing
Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia
Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data
A Technique for Isolating Lexically-Independent Phonetic Dependencies in Generative CNNs
An Intrusion Using Malware and DDNS
The Dynamics of Viral Marketing
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
OptiMind: Teaching LLMs to Think Like Optimization Experts
Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization
Bootstrapping LCF Declarative Proofs
Design of Detectors at the Electron Ion Collider with Artificial Intelligence
What is the optimal depth for deep-unfolding architectures at deployment?
Towards a Parallel Summation Algorithm
Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree
Comparative Performance of Machine Learning Algorithms in Cyberbullying Detection: Using Turkish Language Preprocessing Techniques
Error bounds of fourth-order compact finite difference methods for the Dirac equation in the massless and nonrelativistic regime
Automated Snippet-Alignment Data Augmentation for Code Translation
Using multimodal learning and deep generative models for corporate bankruptcy prediction
Predicting the Price Movement of Cryptocurrencies Using Linear Law-based Transformation
Single-Rod Brachiation Robot: Mechatronic Control Design and Validation of Prejump Phases
Large Language Models: A New Approach for Privacy Policy Analysis at Scale
CGLE: Class-label Graph Link Estimator for Link Prediction
Automated Schizophrenia Detection from Handwriting Samples via Transfer Learning Convolutional Neural Networks
Child-Robot Interaction Studies During COVID-19 Pandemic
Semi-sparsity on Piecewise Constant Function Spaces for Triangular Mesh Denoising
A super-polynomial quantum-classical separation for density modelling
Do Street View Imagery and Public Participation GIS align: Comparative Analysis of Urban Attractiveness
Multispectral Indices for Wildfire Management
ISTD-YOLO: A Multi-Scale Lightweight High-Performance Infrared Small Target Detection Algorithm
Cat-inspired Gaits for A Tilt-rotor - from Symmetrical to Asymmetrical
Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices
GENERator: A Long-Context Generative Genomic Foundation Model
Testing for Characteristics of Attribute Linked Infinite Networks based on Small Samples
SurveyLM: A platform to explore emerging value perspectives in augmented language models' behaviors
Error estimates for a pointwise tracking optimal control problem of a semilinear elliptic equation
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
Interpretable Models in ANNs
Ancilla-free Reversible Logic Synthesis via Sorting
Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs
The Good, The Bad & The Ugly Features: A Meta-analysis on User Review About Food Journaling Apps
Intelligent Tutor: Leveraging ChatGPT and Microsoft Copilot Studio to Deliver a Generative AI Student Support and Feedback System within Teams
TriHaRd: Higher Resilience for TEE Trusted Time
Known Unknowns: Uncertainty Quality in Bayesian Neural Networks
Explainable AutoML (xAutoML) with adaptive modeling for yield enhancement in semiconductor smart manufacturing
Building Contextual Knowledge Graphs for Personalized Learning Recommendations using Text Mining and Semantic Graph Completion
Impossibility of deducing preferences and rationality from human policy
Partitioning signed networks
Meta-Graph: Few shot Link Prediction via Meta Learning
Energy Efficient Power Control for the Two-tier Networks with Small Cells and Massive MIMO
Learning Tennis Strategy Through Curriculum-Based Dueling Double Deep Q-Networks
Improving Language Models Trained with Translated Data via Continual Pre-Training and Dictionary Learning Analysis
A branch-and-bound feature selection algorithm for U-shaped cost functions
Role of Data Mining in Nigerian Tertiary Education Sector
Multi-Person Pose Regression via Pose Filtering and Scoring
Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils
Analysis of the first Genetic Engineering Attribution Challenge
UAV-aided RF Mapping for Sensing and Connectivity in Wireless Networks
Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis
Modelling of Non-linear Control Systems using the Discrete Urysohn Operator
Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings
Optimal participation of energy communities in electricity markets under uncertainty. A multi-stage stochastic programming approach
Towards Improved Imbalance Robustness in Continual Multi-Label Learning with Dual Output Spiking Architecture (DOSA)
Adaptive Switched Lattice Reduction-Aided Linear Detection Techniques for MIMO Systems
Proceedings of The second international workshop on eXplainable AI for the Arts (XAIxArts)
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction
A geometric interpretation of stochastic gradient descent using diffusion metrics
A Statistical Model for Stroke Outcome Prediction and Treatment Planning
ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections
Ensembles of Spiking Neural Networks
Enhancements to ACL2 in Versions 6.2, 6.3, and 6.4
Free-Will vs Free-Wheel: Understanding Community Accessibility Requirements of Wheelchair Users through Interviews, Participatory Action, and Modeling
ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models
Outage Minimization via Power Adaptation and Allocation for Truncated Hybrid ARQ
Real-World Robot Applications of Foundation Models: A Review
Which Rewards Matter? Reward Selection for Reinforcement Learning under Limited Feedback
Evaluation and exploitation of knowledge robustness in knowledge-based systems
Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models
Vulnerabilities and Attacks Against Industrial Control Systems and Critical Infrastructures
Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
Active Sensing of Knee Osteoarthritis Progression with Reinforcement Learning
Personalized Federated Learning via Sequential Layer Expansion in Representation Learning
Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion
Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
The Nyström method for elastic wave scattering by unbounded rough surfaces
MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures - A Comprehensive Framework
A Unified Low-rank ADI Framework with Shared Linear Solves for Simultaneously Solving Multiple Lyapunov, Sylvester, and Riccati Equations
Align before Search: Aligning Ads Image to Text for Accurate Cross-Modal Sponsored Search
Formalizing the Boundary Between Strategic and Nonstrategic Reasoning
Secure and Privacy- Aware Searching in Peer-to-Peer Networks
Adversarial PoseNet: A Structure-aware Convolutional Network for Human Pose Estimation
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition
Optimised allgatherv, reduce_scatter and allreduce communication in message-passing systems
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification
Culture is Everywhere: A Call for Intentionally Cultural Evaluation
Quality of Experience Optimization for Real-time XR Video Transmission with Energy Constraints
Internet of Drones (IoD): Threats, Vulnerability, and Security Perspectives
Tumor Connectomics: Mapping the intra-tumoral complex interaction network
Confronting Machine Learning With Financial Research
DeepPsy-Agent: A Stage-Aware and Deep-Thinking Emotional Support Agent System
Efficient and consistent inference of ancestral sequences in an evolutionary model with insertions and deletions under dense taxon sampling
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores
Second-order Approximation of Minimum Discrimination Information in Independent Component Analysis
A Semantic Web of Know-How: Linked Data for Community-Centric Tasks
Modeling Collaboration for Robot-assisted Dressing Tasks
Emergence and Function of Abstract Representations in Self-Supervised Transformers
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Attention as Annotation: Generating Images and Pseudo-masks for Weakly Supervised Semantic Segmentation with Diffusion
Learning to Evaluate Autonomous Behaviour in Human-Robot Interaction
DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding
What if we tried Less Power? - Lessons from studying the power of choices in hashing-based data structures
Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction
Gradient Descent with Large Step Sizes: Chaos and Fractal Convergence Region
Multidimensional Zero-Correlation Linear Attacks on Reduced-Round MISTY1
An Assurance Framework for Independent Co-assurance of Safety and Security
Agentic AI-Driven Technical Troubleshooting for Enterprise Systems: A Novel Weighted Retrieval-Augmented Generation Paradigm
A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models
An Algebra of Reversible Quantum Computing
Extraction of Vascular Wall in Carotid Ultrasound via a Novel Boundary-Delineation Network
Robust Policy Search for Robot Navigation with Stochastic Meta-Policies
How Problematic Writer-AI Interactions (Rather than Problematic AI) Hinder Writers' Idea Generation
The Design of Parallel Kinematic Machine Tools Using Kinetostatic Performance Criteria
Active learning of digenic functions with boolean matrix logic programming