yusuke1997/dblp-id-title huggingface dataset:
Hierarchical Hidden Markov Model in Detecting Activities of Daily Living in Wearable Videos for Studies of Dementia
Learnable human mesh triangulation for 3D human pose and shape estimation
A short review and primer on electrodermal activity in human computer interaction applications
EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation
On 3-Connected Cubic Planar Graphs and their Strong Embeddings on Orientable Surfaces
Line Formation by Fat Robots under Limited Visibility
The Google Scholar Experiment: how to index false papers and manipulate bibliometric indicators
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval
How do OSS projects change in number and size? A large-scale analysis to test a model of project growth
Situational Object Boundary Detection
Low-rank features based double transformation matrices learning for image classification
Enhancing Security Awareness Through Gamified Approaches
Addendum on data driven regularization by projection
Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GAN
Sensor Selection for Remote State Estimation with QoS Requirement Constraints
Minimum Hellinger Distance Estimators for Complex Survey Designs
Trans-defense: Transformer-based Denoiser for Adversarial Defense with Spatial-Frequency Domain Representation
Multi-contact Stochastic Predictive Control for Legged Robots with Contact Locations Uncertainty
Robustly Optimized and Distilled Training for Natural Language Understanding
Recovering Fairness Directly from Modularity: a New Way for Fair Community Partitioning
DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
Learning Flexible Forward Trajectories for Masked Molecular Diffusion
Constraint-Based Inference of Heuristics for Foreign Exchange Trade Model Optimization
Face Alignment using a 3D Deeply-initialized Ensemble of Regression Trees
Representation Learning for Sequential Volumetric Design Tasks
Representation of a Sentence using a Polar Fuzzy Neutrosophic Semantic Net
An argumentative annotation schema for meeting discussions
Improving GANs for Long-Tailed Data through Group Spectral Regularization
Stationary Algorithmic Probability
Bundle Adjustment in the Eager Mode
FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning
Improved Twitter Sentiment Analysis Using Naive Bayes and Custom Language Model
HEroBM: a deep equivariant graph neural network for universal backmapping from coarse-grained to all-atom representations
A Theoretical Study of (Full) Tabled Constraint Logic Programming
Towards Digital Twins for Optimal Radioembolization
Auto-tuning Distributed Stream Processing Systems using Reinforcement Learning
An Information Theoretic Measure for Robot Expressivity
Perpetual Codes for Network Coding
Improved SAT models for NFA learning
Modifying Memories in Transformer Models
MGA: Medical generalist agent through text-guided knowledge transformation
Binary Constraint System Games and Locally Commutative Reductions
Multi-class Spectral Clustering with Overlaps for Speaker Diarization
A Review of Intrusion Detection Systems and Their Evaluation in the IoT
SLO-aware Colocation of Data Center Tasks Based on Instantaneous Processor Requirements
Analyzing structural characteristics of object category representations from their semantic-part distributions
A global Constraint for mining Sequential Patterns with GAP constraint
On Selective Unboundedness of VASS
DrNLA: Extending Verification to Non-linear Programs through Dual Re-writing
Self-tuned Visual Subclass Learning with Shared Samples An Incremental Approach
Markets for Efficient Public Good Allocation
Are Architectural Smells Independent from Code Smells? An Empirical Study
Transformer-based Time-to-Event Prediction for Chronic Kidney Disease Deterioration
Contrastive Learning under Heterophily
Malware Knowledge Graph Generation
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction
Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration
GaitSTR: Gait Recognition with Sequential Two-stream Refinement
TransRegex: Multi-modal Regular Expression Synthesis by Generate-and-Repair
Reasoning Models Are More Easily Gaslighted Than You Think
Supervised Metric Learning for Music Structure Feature
Node and Edge Eigenvector Centrality for Hypergraphs
An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle Navigation
Defending Against Transfer Attacks From Public Models
Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic Segmentation
Eye2Recall: Exploring the Design of Enhancing Reminiscence Activities via Eye Tracking-Based LLM-Powered Interaction Experience for Older Adults
Analysis and FPGA based Implementation of Permutation Binary Neural Networks
The T12 System for AudioMOS Challenge 2025: Audio Aesthetics Score Prediction System Using KAN- and VERSA-based Models
Social signals and algorithmic trading of Bitcoin
Full-Scale Indexing and Semantic Annotation of CT Imaging: Boosting FAIRness
LRNet: Change detection of high-resolution remote sensing imagery via strategy of localization-then-refinement
Exploring semantically-related concepts from Wikipedia: the case of SeRE
Dynamic Pricing for Non-fungible Resources
Sample size determination for machine learning in medical research
ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environments
A Comparative Study of Artificial Potential Fields and Safety Filters
On Functional Observability of Nonlinear Systems and the Design of Functional Observers with Assignable Error Dynamics
Differentiable Fast Top-K Selection for Large-Scale Recommendation
Rock mechanics modeling based on soft granulation theory
Fully-Synthetic Training for Visual Quality Inspection in Automotive Production
Embeddings for Tabular Data: A Survey
Influence of Hand Tracking as a way of Interaction in Virtual Reality on User Experience
A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns
Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments
AgentSLA : Towards a Service Level Agreement for AI Agents
SPLASH! Sample-efficient Preference-based inverse reinforcement learning for Long-horizon Adversarial tasks from Suboptimal Hierarchical demonstrations
On the Placement Delivery Array Design for Coded Caching Scheme in D2D Networks
Open problems in Costas arrays
4D Multi-atlas Label Fusion using Longitudinal Images
Quantitative Strongest Post
TrajGEOS: Trajectory Graph Enhanced Orientation-based Sequential Network for Mobility Prediction
Evolving Pacing Strategies for Team Pursuit Track Cycling
A Framework for Exploring and Evaluating Mechanics in Human Computation Games
Multi-Level Anomaly Detection on Streaming Graph Data
Concept Learners for Generalizable Few-Shot Learning
Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
Optimal quadratic element on rectangular grids for H 1 problems
GFT-GCN: Privacy-Preserving 3D Face Mesh Recognition with Spectral Diffusion
Skin Lesion Analysis: A State-of-the-Art Survey, Systematic Review, and Future Trends
When Sparsity Meets Dynamic Convolution
On the Design and Analysis of Multivariable Extremum Seeking Control using Fast Fourier Transform
Rethinking k-means from manifold learning perspective
A Novel Approach to Detect Spam Worms Propagation with Monitoring the Footprinting
Practical guidelines to developing a regulatory package for a medical AI product
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning
Deep Graph Generators
Classification of Occluded Objects using Fast Recurrent Processing
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks
Label Propagation on K-partite Graphs with Heterophily
AllSpark: a multimodal spatiotemporal general model
Re-visiting Automated Topic Model Evaluation with Large Language Models
Masked Feature Modelling: Feature Masking for the Unsupervised Pre-training of a Graph Attention Network Block for Bottom-up Video Event Recognition
A Comprehensive Survey on AI-based Methods for Patents
Agent-based Ecological Model Calibration - on the Edge of a New Approach
Knowledge Graph Enhanced Intelligent Tutoring System Based on Exercise Representativeness and Informativeness
The Syntax and Semantics of einsum
Are Hypervectors Enough? Single-Call LLM Reasoning over Knowledge Graphs
Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task
Number representation using generalized $(-\beta)$-transformation
HATP: An HTN Planner for Robotics
A Novel Robust Method to Add Watermarks to Bitmap Images by Fading Technique
On the Robustness of Latent Diffusion Models
Everyone Can Be Picasso? A Computational Framework into the Myth of Human versus AI Painting
Memory-based Ensemble Learning in CMR Semantic Segmentation
A Time Series Forest for Classification and Feature Extraction
Kernelized Multiview Projection
Browser Fingerprint Detection and Anti-Tracking
Probabilistic completeness of RRT for geometric and kinodynamic planning with forward propagation
A Polynomial Time Algorithm for SAT
The Loss Surface of XOR Artificial Neural Networks
Finnish primary school students' conceptions of machine learning
A numerical analysis of Quicksort: How many cases are bad cases?
Multi-Modal Aesthetic Assessment for MObile Gaming Image
Massive MIMO As Extreme Learning Machine
Explaining Cognitive Computing Through the Information Systems Lens
Deep Neural Networks with Symplectic Preservation Properties
SAT-based Preprocessing for MaxSAT (extended version)
Design Patterns for Securing LLM Agents against Prompt Injections
Detecting dense communities in large social and information networks with the Core & Peel algorithm
Does Asking Clarifying Questions Increases Confidence in Generated Code? On the Communication Skills of Large Language Models
Learning Traffic as Images: A Deep Convolution Neural Network for Large-scale Transportation Network Speed Prediction
Parameter Re-Initialization through Cyclical Batch Size Schedules
An Entropy-Stable/Double-Flux scheme for the multi-component compressible Navier-Stokes equations
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
Efficient Decision Making and Belief Space Planning using Sparse Approximations
Reconstruction of Fields from Sparse Sensing: Differentiable Sensor Placement Enhances Generalization
Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings
Large-deviation properties of the largest biconnected component for random graphs
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Cyclic Sparse Training: Is it Enough?
Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images
High Dimensional Inference with Random Maximum A-Posteriori Perturbations
Self-Supervised Surgical Instrument 3D Reconstruction from a Single Camera Image
A reaction network approach to modeling carbon dioxide removal systems
Quantitative Stopword Generation for Sentiment Analysis via Recursive and Iterative Deletion
Statistical considerations on limitations of supercomputers
A Framework for Multi-f0 Modeling in SATB Choir Recordings
Global types and event structure semantics for asynchronous multiparty sessions
Multi-level Cross-modal Feature Alignment via Contrastive Learning towards Zero-shot Classification of Remote Sensing Image Scenes
Evaluation of Semantic Search and its Role in Retrieved-Augmented-Generation (RAG) for Arabic Language
Channel Training and Estimation for Reconfigurable Intelligent Surfaces: Exposition of Principles, Approaches, and Open Problems
Making Curiosity Explicit in Vision-based RL
Threshold Greedy Based Task Allocation for Multiple Robot Operations
Machine Learning Modeling Of SiRNA Structure-Potency Relationship With Applications Against Sars-Cov-2 Spike Gene
Non-Episodic Learning for Online LQR of Unknown Linear Gaussian System
Computing zeta functions of sparse nondegenerate hypersurfaces
Uncovering Hierarchical Structure in Social Networks using Isospectral Reductions
AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration
WGLE:Backdoor-free and Multi-bit Black-box Watermarking for Graph Neural Networks
An Asymptotically Compatible Approach For Neumann-Type Boundary Condition On Nonlocal Problems
Deep Learning for Spatiotemporal Modeling of Urbanization
Binary words with the fewest unbordered conjugates
A Lifting Wing Fixed on Multirotor UAVs for Long Flight Ranges
Mining Social Media for Newsgathering
Breaking Algorithmic Collusion in Human-AI Ecosystems
Starfish: Rebalancing Multi-Party Off-Chain Payment Channels
Learning to Effectively Select Topics For Information Retrieval Test Collections
Principles for Developing a Knowledge Graph of Interlinked Events from News Headlines on Twitter
IoT Security: On-Chip Secure Deletion Scheme using ECC Modulation in IoT Appliances
Evaluating Scoring Bias in LLM-as-a-Judge
UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models
Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks
Lecture Notes on Control System Theory and Design
Interaç:ão entre robôs humanoides: desenvolvendo a colaboraç:ão e comunicaç:ão autônoma
Hierarchical Models: Intrinsic Separability in High Dimensions
Decentralized Two-Hop Opportunistic Relaying With Limited Channel State Information
Learning to Search Better Than Your Teacher
Learning Scene Flow With Skeleton Guidance For 3D Action Recognition
Robust Federated Learning with Attack-Adaptive Aggregation
Implementing Boolean Functions with switching lattice networks
PyCAT4: A Hierarchical Vision Transformer-based Framework for 3D Human Pose Estimation
Platypus: Quick, Cheap, and Powerful Refinement of LLMs
The Societal Implications of Blockchain Proliferation
LLaVAC: Fine-tuning LLaVA as a Multimodal Sentiment Classifier
The Two-User Gaussian Fading Broadcast Channel
IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base Object Detection
AI Behavioral Science
Bijections between Variants of Dyck Paths and Integer Compositions
A New Hybrid Control Architecture to Attenuate Large Horizontal Wind Disturbance for a Small-Scale Unmanned Helicopter
A general framework of low regularity integrators
Large-scale Multiview 3D Hand Pose Dataset
Semi-global Exponential Stability for Dual Quaternion Based Rigid-Body Tracking Control
A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
PI-FL: Personalized and Incentivized Federated Learning
Imitation and Heterogeneity Shape the Resilience of Community Currency Networks
Applying l-Diversity in anonymizing collaborative social network
A Quantized Johnson Lindenstrauss Lemma: The Finding of Buffon's Needle
Hierarchical Bi-level Multi-Objective Evolution of Single- and Multi-layer Echo State Network Autoencoders for Data Representations
DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
Category-Graded Algebraic Theories and Effect Handlers
Dual-Level Boost Network for Long-Tail Prohibited Items Detection in X-ray Security Inspection
AVP: Physics-informed Data Generation for Small-data Learning
Numerical Discretisation of Hyperbolic Systems of Moment Equations Describing Sedimentation in Suspensions of Rod-Like Particles
Dynamic Evolution of Cooperation Based on Adaptive Reputation Threshold and Game Transition
ElasticZO: A Memory-Efficient On-Device Learning with Combined Zeroth- and First-Order Optimization
Securing Downlink Massive MIMO-NOMA Networks with Artificial Noise
A Machine Learning-based Approach to Detect Threats in Bio-Cyber DNA Storage Systems
Generators and Relations for 2-Qubit Clifford+T Operators
Multicritera Cuts and Size-Constrained k-cuts in Hypergraphs
Super Suffixes: Bypassing Text Generation Alignment and Guard Models Simultaneously
On the snappability and singularity-distance of frameworks with bars and triangular plates
The Random Feature Method for Time-dependent Problems
A New Algorithm for Computing the Stabilizing Solution of General Periodic Time-Varying Stochastic Game-Theoretic Riccati Differential Equations
Optimal Rates for DP-SCO with a Single Epoch and Large Batches
Unpacking Large Language Models with Conceptual Consistency
Portable simulation framework for diffusion MRI
ArchCAD-400K: An Open Large-Scale Architectural CAD Dataset and New Baseline for Panoptic Symbol Spotting
Asymptotic-preserving semi-Lagrangian discontinuous Galerkin schemes for the Boltzmann equation
Are Slime Moulds Living Memristors?
Cellcounter: a deep learning framework for high-fidelity spatial localization of neurons
Delay Optimization of Combinational Logic by And-Or Path Restructuring
Parameter estimation for optimal path planning in internal transportation
RHNAS: Realizable Hardware and Neural Architecture Search
On the Taut String Interpretation of the One-dimensional Rudin-Osher-Fatemi Model: A New Proof, a Fundamental Estimate and Some Applications
DesignTracking: Track and Replay BIM-based Design Process
Investigating Decision Boundaries of Trained Neural Networks
Disentangling the Link Between Image Statistics and Human Perception
Keep Your Transactions On Short Leashes
Unified Multi-modal Diagnostic Framework with Reconstruction Pre-training and Heterogeneity-combat Tuning
Convolutional Clustering for Unsupervised Learning
Constrained PSLQ Search for Machin-like Identities Achieving Record-Low Lehmer Measures
FLUID: A Fine-Grained Lightweight Urban Signalized-Intersection Dataset of Dense Conflict Trajectories
Improved prompting and process for writing user personas with LLMs, using qualitative interviews: Capturing behaviour and personality traits of users
Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction
Local problems in trees across a wide range of distributed models
TA-Dash: An Interactive Dashboard for Spatial-Temporal Traffic Analytics - Demo Paper
Online Pairwise Learning Algorithms with Kernels
ATLsc with partial observation
Towards the Development of a Simulator for Investigating the Impact of People Management Practices on Retail Performance
CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models
Defect Detection Techniques for Airbag Production Sewing Stages
The Athenian Academy: A Seven-Layer Architecture Model for Multi-Agent Systems
To Use or to Refuse? Re-Centering Student Agency with Generative AI in Engineering Design Education
Efficient Convolution and Transformer-Based Network for Video Frame Interpolation
Riemannian Stochastic Approximation for Minimizing Tame Nonsmooth Objective Functions
Widlar Current Mirror Design Using BJT-Memristor Circuits
Seeing through Things: Exploring the Design Space of Privacy-Aware Data-Enabled Objects
HergNet: a Fast Neural Surrogate Model for Sound Field Predictions via Superposition of Plane Waves
SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts
Early Stage Diabetes Prediction via Extreme Learning Machine
Detecting AI-Generated Images via Diffusion Snap-Back Reconstruction: A Forensic Approach
Exploiting Rich Contents for Personalized Video Recommendation
Numerical Approximation in CFD Problems Using Physics Informed Machine Learning
Attire-Based Anomaly Detection in Restricted Areas Using YOLOv8 for Enhanced CCTV Security
HelpSteer2: Open-source dataset for training top-performing reward models
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs
Unraveling the origin of exponential law in intra-urban human mobility
Deep Learning-Aided Iterative Detector for Massive Overloaded MIMO Channels
An object detection approach for lane change and overtake detection from motion profiles
DeepWaste: Applying Deep Learning to Waste Classification for a Sustainable Planet
Auto-Conditioned LSTM Network for Extended Complex Human Motion Synthesis
Spatially-sparse convolutional neural networks
Hybrid Synaptic Structure for Spiking Neural Network Realization
The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions
Multi-Agent LLM Orchestration Achieves Deterministic, High-Quality Decision Support for Incident Response
The Language of Approval: Identifying the Drivers of Positive Feedback Online
Riemannian Metric Learning for Symmetric Positive Definite Matrices
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models
Masked Hard-Attention Transformers and Boolean RASP Recognize Exactly the Star-Free Languages
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention
Empirical learning aided by weak domain knowledge in the form of feature importance
Reproducible Host Networking Evaluation with End-to-End Simulation
The importance of being lazy - using lazy evaluation to process queries to HPSG grammars
InspectorRAGet: An Introspection Platform for RAG Evaluation
Progress in Computer-Assisted Inductive Theorem Proving by Human-Orientedness and Descente Infinie?
Rational Instability in the Natural Coalition Forming
Experience of Teaching Data Visualization using Project-based Learning
Neuro-Symbolic Traders: Assessing the Wisdom of AI Crowds in Markets
CoCAI: Copula-based Conformal Anomaly Identification for Multivariate Time-Series
TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression
NP-hardness of polytope M-matrix testing and related problems
Interpretable machine learning in Physics
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
Analyzing the Impact of Partial Sharing on the Resilience of Online Federated Learning Against Model Poisoning Attacks
On the Stability and Generalization of Learning with Kernel Activation Functions
Exact SDP Formulation for Discrete-Time Covariance Steering with Wasserstein Terminal Cost
Homing Vector Automata
A new algorithm for multiplying two Dirac numbers
HeadGAN: Video-and-Audio-Driven Talking Head Synthesis
Data in the ADS -- Understanding How to Use it Better
FractMorph: A Fractional Fourier-Based Multi-Domain Transformer for Deformable Image Registration
NeuroStrike: Neuron-Level Attacks on Aligned LLMs
Following the Whispers of Values: Unraveling Neural Mechanisms Behind Value-Oriented Behaviors in LLMs
REPrune: Filter Pruning via Representative Election
Optical Flow Estimation in 360° Videos: Dataset, Model and Application
When is the Resolvent Like a Rank One Matrix?
On Similarity
KYChain: User-Controlled KYC Data Sharing and Certification
Data-Efficient Quickest Outlying Sequence Detection in Sensor Networks
Fully lifted interpolating comparisons of bilinearly indexed random processes
A Review of Privacy Metrics for Privacy-Preserving Synthetic Data Generation
Noncommutative extensions of parameters in the asymptotic spectrum of graphs
Sequences with identical autocorrelation spectra
Unsupervised clothing change adaptive person ReID
UW SPF: The University of Washington Semantic Parsing Framework
Efficient and Interpretable Neural Networks Using Complex Lehmer Transform
Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT
Multi-View Multiple Clusterings using Deep Matrix Factorization
A variational discrete element method for the computation of Cosserat elasticity
Content Anonymization for Privacy in Long-form Audio
HST: Hierarchical Swin Transformer for Compressed Image Super-resolution
Guidance & Control Networks for Time-Optimal Quadcopter Flight
A Logical Approach to Criminal Case Investigation
GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis
On the (Statistical) Detection of Adversarial Examples
HappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead