yusuke1997/dblp-id-title huggingface dataset:
PMT-MAE: Dual-Branch Self-Supervised Learning with Distillation for Efficient Point Cloud Classification
On the solvable-unsolvable transition due to noise-induced chaos in digital memcomputing
Multi-objective LQR with Optimum Weight Selection to Design FOPID Controllers for Delayed Fractional Order Processes
Viper-F1: Fast and Fine-Grained Multimodal Understanding with Cross-Modal State-Space Modulation
YFACC: A Yorùbá speech-image dataset for cross-lingual keyword localisation through visual grounding
Combination of Multiple Global Descriptors for Image Retrieval
Uniform approximation by multivariate quasi-projection operators
Wild Visual Navigation: Fast Traversability Learning via Pre-Trained Models and Online Self-Supervision
DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
On the Equivalence Checking Problem for Deterministic Top-Down Tree Automata
Mitigating Filter Bubbles within Deep Recommender Systems
Additive complementary dual codes over F q 2
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Full-field surrogate modeling of cardiac function encoding geometric variability
Token-Level Inference-Time Alignment for Vision-Language Models
SolidMark: Evaluating Image Memorization in Generative Models
Learning to Refit for Convex Learning Problems
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
Low-Rate Machine-Type Communication via Wireless Device-to-Device (D2D) Links
ESG and the Cost of Capital: Insights from an AI-Assisted Systematic Literature Review
A Question on the Explainability of Large Language Models and the Word-Level Univariate First-Order Plausibility Assumption
Effectively Enhancing Vision Language Large Models by Prompt Augmentation and Caption Utilization
Iterative Imitation Policy Improvement for Interactive Autonomous Driving
Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation
Learning Eigenstructures of Unstructured Data Manifolds
Reliability on QR codes and Reed-Solomon codes
Deep reinforcement learning reveals fewer sensors are needed for autonomous gust alleviation
Image-based Virtual Fitting Room
FlowGrad: Using Motion for Visual Sound Source Localization
Securing Quantum Computations in the NISQ Era
Strengthening the Directed Brooks' Theorem for oriented graphs and consequences on digraph redicolouring
Understanding the Limitations of CNN-based Absolute Camera Pose Regression
Learning Non-Metric Visual Similarity for Image Retrieval
Elaborating Inductive Definitions
Initiatives and Challenges of Using Gamification in Software Engineering: A Systematic Mapping
Detecting AI-Generated Paraphrases in Bengali: A Comparative Study of Zero-Shot and Fine-Tuned Transformers
Abstract String Domain Defined with Word Equations as a Reduced Product (Extended Version)
IOCC: Aligning Semantic and Cluster Centers for Few-shot Short Text Clustering
Refinement for Probabilistic Systems with Nondeterminism
A c/μ-Rule for Service Resource Allocation in Group-Server Queues
VB calibration to improve the interface between phone recognizer and i-vector extractor
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data
MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing
Optimal Control of Sliding Droplets using the Contact Angle Distribution
A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors
A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning
LexPro-1.0 Technical Report
SCMA for Downlink Multiple Access of 5G Wireless Networks
A Probabilistic Approach for Data Management in Pervasive Computing Applications
Towards Global Neural Network Abstractions with Locally-Exact Reconstruction
A general framework for quantifying uncertainty at scale and its application to fusion research
Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation
In-Situ Fine-Tuning of Wildlife Models in IoT-Enabled Camera Traps for Efficient Adaptation
A Survey on Signed Graph Embedding: Methods and Applications
Dynamic penalty function approach for constraints handling in reinforcement learning
Characterization of Spatial-Temporal Channel Statistics from Measurement Data at D Band
Low-Precision Streaming PCA
The Secant-Newton Map is Optimal Among Contracting $n^{th}$ Degree Maps for $n^{th}$ Root Computation
Beyond EM Algorithm on Over-specified Two-Component Location-Scale Gaussian Mixtures
Object Detection in Real Images
An exact algorithm for 1-in-3 SAT
Total heat flux convergence in the calculation of 2d and 3d heat losses through building elements
A cut-free sequent calculus for the bi-intuitionistic logic 2Int
Two-timescale Resource Allocation for Automated Networks in IIoT
High-Order Finite Element Second Moment Methods for Linear Transport
Geospecific View Generation - Geometry-Context Aware High-resolution Ground View Inference from Satellite Views
Optimal Transport Learning: Balancing Value Optimization and Fairness in Individualized Treatment Rules
Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation
Multi-Agent Code-Orchestrated Generation for Reliable Infrastructure-as-Code
Automatically Eliminating Speculative Leaks With Blade
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health
LU factorization with errors
Leveraging Test Driven Development with Large Language Models for Reliable and Verifiable Spreadsheet Code Generation: A Research Framework
RollPacker: Mitigating Long-Tail Rollouts for Fast, Synchronous RL Post-Training
The Bouc-Wen Model for Binary Direct Collinear Collisions of Convex Viscoplastic Bodies
Support bound for differential elimination in polynomial dynamical systems
Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
Spectral properties of the Laplacian of temporal networks following a constant block Jacobi model
Status Updates Through Multicast Networks
No Cross-Validation Required: An Analytical Framework for Regularized Mixed-Integer Problems (Extended Version)
Tracking, exploring and analyzing recent developments in German-language online press in the face of the coronavirus crisis: cOWIDplus Analysis and cOWIDplus Viewer
Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
Deep Stable Learning for Out-Of-Distribution Generalization
Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks
NeRF-: Neural Radiance Fields Without Known Camera Parameters
Towards Measuring The Fungibility and Anonymity of Cryptocurrencies
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER
Identifying OSPF Anomalies Using Recurrence Quantification Analysis
Situational Awareness based Risk-Adapatable Access Control in Enterprise Networks
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design
User-driven Design and Evaluation of Liquid Types in Java
On Principled Local Optimization Methods for Federated Learning
Flickering emergences: The question of locality in information-theoretic approaches to emergence
A Dialogue Robot System to Improve Credibility in Sightseeing Spot Recommendations
Impact of Computer-Based Assessments on the Science's Ranks of Secondary Students
Robust distributed model predictive control of linear systems: analysis and synthesis
Data Dissemination And Collection Algorithms For Collaborative Sensor Networks Using Dynamic Cluster Heads
Solving Multi-Agent Multi-Goal Path Finding Problems in Polynomial Time
BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting
Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character Recognition
On the Smoothness of Nonlinear System Identification
Few-shot fault diagnosis based on multi-scale graph convolution filtering for industry
Natural Interaction Modalities for Human-CPS Interaction in Construction Progress Monitoring
Some Common Mistakes in the Teaching and Textbooks of Modal Logic
Automatic Classification of Alzheimer's Disease using brain MRI data and deep Convolutional Neural Networks
Spatio-temporal Vision Transformer for Super-resolution Microscopy
Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions
ILVES: Accurate and efficient bond length and angle constraints in molecular dynamics
Efficient Reinforcement Learning for Optimal Control with Natural Images
Comprehensive Survey of QML: From Data Analysis to Algorithmic Advancements
On the Smart Coordination of Flexibility Scheduling in Multi-carrier Integrated Energy Systems
A Digital Pheromone-Based Approach for In/Out-of-Control Classification
DOA Estimation in Partially Correlated Noise Using Low-Rank/Sparse Matrix Decomposition
MissionHD: Data-Driven Refinement of Reasoning Graph Structure through Hyperdimensional Causal Path Encoding and Decoding
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Pruning Convolutional Neural Networks for Image Instance Retrieval
Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting
Concentrated Document Topic Model
Dynamic Euclidean Bottleneck Matching
L1 Control Theoretic Smoothing Splines
Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey
Learning Robust Representations for Malicious Content Detection via Contrastive Sampling and Uncertainty Estimation
Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification
Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment
OBDDs and (Almost) $k$-wise Independent Random Variables
Research on Data Right Confirmation Mechanism of Federated Learning based on Blockchain
Expressive equivalence of classical and quantum restricted Boltzmann machines
CORE: Compact Object-centric REpresentations as a New Paradigm for Token Merging in LVLMs
50 questions on Active Assisted Living technologies. Global edition
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning
Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation
Applied Causal Inference Powered by ML and AI
Learning Coupled Policies for Simultaneous Machine Translation
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness
Disentangling the Complex Multiplexed DIA Spectra in De Novo Peptide Sequencing
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection
SJTU-TMQA: A quality assessment database for static mesh with texture map
3D Robot Pose Estimation from 2D Images
Code Vulnerability Detection: A Comparative Analysis of Emerging Large Language Models
HACK: Hallucinations Along Certainty and Knowledge Axes
Cost-based Feature Transfer for Vehicle Occupant Classification
Scalable Verification of GNN-based Job Schedulers
PCA 4 DCA: The Application Of Principal Component Analysis To The Dendritic Cell Algorithm
Conway and iteration hemirings
Grafalgo - A Library of Graph Algorithms and Supporting Data Structures (revised)
Get Experience from Practice: LLM Agents with Record & Replay
Robust and accurate central algorithms for Multi-Component mixture equations with Stiffened gas EOS
Learning to Sense for Driving: Joint Optics-Sensor-Model Co-Design for Semantic Segmentation
Idle speed control with low-complexity offset-free explicit model predictive control in presence of system delay
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection
Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation
Fake-Acknowledgment Attack on ACK-based Sensor Power Schedule for Remote State Estimation
Database Engines: Evolution of Greenness
GS-LTS: 3D Gaussian Splatting-Based Adaptive Modeling for Long-Term Service Robots
Vision-based Robotic Arm Imitation by Human Gesture
Partial AUC optimization based deep speaker embeddings with class-center learning for text-independent speaker verification
Hybrid Processing Design for Multipair Massive MIMO Relaying with Channel Spatial Correlation
Multi-Level Power Series Solution for Large Surface and Volume Electric Field Integral Equation
A Data Aggregation Visualization System supported by Processing-in-Memory
The Partially Observable Hidden Markov Model with Application to Keystroke Biometrics
Multi-Objective Recommender Systems: Survey and Challenges
Reduced-Order Models for Thermal Radiative Transfer Based on POD-Galerkin Method and Low-Order Quasidiffusion Equations
Flexible graph convolutional network for 3D human pose estimation
Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
Extremal Problems on Forest Cuts and Acyclic Neighborhoods in Sparse Graphs
RADICAL-Cybertools: Middleware Building Blocks for Scalable Science
A New Energy Efficient Beamforming Strategy for MISO Interfering Broadcast Channels based on Large Systems Analysis
From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones
Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts
SPT-NRTL: A physics-guided machine learning model to predict thermodynamically consistent activity coefficients
Unveiling the Potential of Counterfactuals Explanations in Employability
Efficient Binary-Level Coverage Analysis
HyperSBINN: A Hypernetwork-Enhanced Systems Biology-Informed Neural Network for Efficient Drug Cardiosafety Assessment
Multiuser Detection by MAP Estimation with Sum-of-Absolute-Values Relaxation
Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning
The Plane-Width of Graphs
Machine olfaction using time scattering of sensor multiresolution graphs
A Modular Framework for Rapidly Building Intrusion Predictors
TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features
The Mob core language and abstract machine (rev 0.2)
Universal Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
LXLv2: Enhanced LiDAR Excluded Lean 3D Object Detection with Fusion of 4D Radar and Camera
Utilizing Deep Learning to Optimize Software Development Processes
These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios with Decisive Disparity Diffusion
Non-Blind Strategies in Timed Network Congestion Games
Vehicle Security: Risk Assessment in Transportation
An Adaptive Parameter Estimation for Guided Filter based Image Deconvolution
Fast RodFIter for Attitude Reconstruction from Inertial Measurements
Centroid-aware feature recalibration for cancer grading in pathology images
Effective Quantization for Diffusion Models on CPUs
Dispelling Four Challenges in Inertial Motion Tracking with One Recurrent Inertial Graph-based Estimator (RING)
Performance Improvement of OFDM System Using Iterative Signal Clipping With Various Window Techniques for PAPR Reduction
Throughput-Optimal Broadcast on Directed Acyclic Graphs
Improving Diversity of Neural Text Generation via Inverse Probability Weighting
Predictability of Irregular Human Mobility
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning
Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features
Parallel Reachability Analysis for Hybrid Systems
Teleoperator-Aware and Safety-Critical Adaptive Nonlinear MPC for Shared Autonomy in Obstacle Avoidance of Legged Robots
SFUOD: Source-Free Unknown Object Detection
AmIE: An Ambient Intelligent Environment for Assisted Living
Visual Theory of Mind Enables the Invention of Writing Systems
Interdisciplinary researchers attain better performance in funding
Readable Twins of Unreadable Models
Latent label distribution grid representation for modeling uncertainty
Enabling Cognitive Intelligence Queries in Relational Databases using Low-dimensional Word Embeddings
Block-Operations: Using Modular Routing to Improve Compositional Generalization
R-ACP: Real-Time Adaptive Collaborative Perception Leveraging Robust Task-Oriented Communications
Using social media to measure demographic responses to natural disaster: Insights from a large-scale Facebook survey following the 2019 Australia Bushfires
D2KE: From Distance to Kernel and Embedding
Incrementally Closing Octagons
A Survey of System Security in Contactless Electronic Passports
Robust and High Throughput Beam Tracking for mmWave Communication Systems
Lightweight Fish Classification Model for Sustainable Marine Management: Indonesian Case
Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui fires
Hierarchy Flow For High-Fidelity Image-to-Image Translation
PhysiX: A Foundation Model for Physics Simulations
Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations
Time and Query Optimal Quantum Algorithms Based on Decision Trees
Algorithm For Multi-Hand Finger Counting: An Easy Approach
Phoenix Cloud : Consolidating Heterogeneous Workloads of Large Organizations on Cloud Computing Platforms
Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces
On the Complexity of Signed Roman Domination
Lower-limb kinematics and kinetics during continuously varying human locomotion
Exploring zero-shot structure-based protein fitness prediction
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
Active Inference for Self-Organizing Multi-LLM Systems: A Bayesian Thermodynamic Approach to Adaptation
Can automated smoothing significantly improve benchmark time series classification algorithms?
Pandemic News: Facebook Pages of Mainstream News Media and the Coronavirus Crisis - A Computational Content Analysis
Online Off-policy Prediction
Design Analysis and Experimental Validation of Relaxation Oscillator-Based Circuit for R-C Sensors
Approximate Bayesian Computation of Bézier Simplices
Generating Hard Problems of Cellular Automata
Talk it up or play it down? (Un)expected correlations between (de-)emphasis and recurrence of discussion points in consequential U.S. economic policy meetings
Stance Detection on Tweets: An SVM-based Approach
Asymptotic Performance Analysis of Blockchain Protocols
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection
Modularity-based Dynamic Community Detection
Transferable Force-Torque Dynamics Model for Peg-in-hole Task
Generating Complex 4D Expression Transitions by Learning Face Landmark Trajectories
Next Generation Cloud Computing: New Trends and Research Directions
Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
LLM Optimization Unlocks Real-Time Pairwise Reranking
Dynamic traffic assignment in a corridor network: Optimum versus Equilibrium
Achieving Human Parity on Automatic Chinese to English News Translation
Pose-invariant face recognition via feature-space pose frontalization
Connecting Large Language Models with Blockchain: Advancing the Evolution of Smart Contracts from Automation to Intelligence
Mean Teacher based SSL Framework for Indoor Localization Using Wi-Fi RSSI Fingerprinting
DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing
An Online Multilingual Hate speech Recognition System
Scenario approach for minmax optimization with emphasis on the nonconvex case: positive results and caveats
Transformer-Based Neural Text Generation with Syntactic Guidance
Using Text to Teach Image Retrieval
Cubical Cohomology Ring of 3D Photographs
Adding Additional Control to One-Step Diffusion with Joint Distribution Matching
Delay Stability Regions of the Max-Weight Policy under Heavy-Tailed Traffic
Relating and contrasting plain and prefix Kolmogorov complexity
Design and Control of A Tilt-Rotor Tailsitter Aircraft with Pivoting VTOL Capability
Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features
Influence Maximization in Hypergraphs
Index Tracking via Learning to Predict Market Sensitivities
Modular design to transform codes for the wiretap channel of type I into codes for the wiretap channel of type II
Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes
ACORN: Adaptive Coordinate Networks for Neural Scene Representation
Fair inference on error-prone outcomes
A Multi-module Robust Method for Transient Stability Assessment against False Label Injection Cyberattacks
Symbolic Regression Algorithms with Built-in Linear Regression
Processing of synthetic data in AI development for healthcare and the definition of personal data in EU law
2-Dimensional Euclidean Preferences
Learnable Explicit Density for Continuous Latent Space and Variational Inference
Nurturing Language Proficiency in Spanish.speaking children Through digital competence
A micro-macro Markov chain Monte Carlo method for molecular dynamics using reaction coordinate proposals II: indirect reconstruction
Divergence-free neural operators for stress field modeling in polycrystalline materials
An Enhanced Corpus for Arabic Newspapers Comments
JSTR: Judgment Improves Scene Text Recognition
Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study
Studying Hopfield models via fully lifted random duality theory
AutoLegend: A User Feedback-Driven Adaptive Legend Generator for Visualizations
How to Sell Information Optimally: an Algorithmic Study
Distributed Collections of Web Pages in the Wild
Destructive and constructive RIS beamforming in an ISAC-multi-user MIMO network
PaXNet: Dental Caries Detection in Panoramic X-ray using Ensemble Transfer Learning and Capsule Classifier
SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting
GuardNN: Secure DNN Accelerator for Privacy-Preserving Deep Learning
On the Interaction of Compressibility and Adversarial Robustness
On Locomotion of a Laminated Fish-inspired robot in a Small-to-size Environment
Geomancer: An Open-Source Framework for Geospatial Feature Engineering
Preliminary Results on Using Abstract AND-OR Graphs for Generalized Solving of Stochastic Shortest Path Problems
Certified Training with Branch-and-Bound: A Case Study on Lyapunov-stable Neural Control
Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models
Recurrent Aggregation Learning for Multi-View Echocardiographic Sequences Segmentation
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning
InverseMeetInsert: Robust Real Image Editing via Geometric Accumulation Inversion in Guided Diffusion Models
Learning Representations for Sub-Symbolic Reasoning
New region force for variational models in image segmentation and high dimensional data clustering
Acoustic Analysis of Uneven Blade Spacing and Toroidal Geometry for Reducing Propeller Annoyance
Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics
Second Order Finite Volume Scheme for Shallow Water Equations on Manifolds
Exploring low-rank structure for an inverse scattering problem with far-field data
Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach
Preliminary Study on Space Utilization and Emergent Behaviors of Group vs. Single Pedestrians in Real-World Trajectories
Throughput Optimal Routing in Blockchain Based Payment Systems