yusuke1997/dblp-id-title huggingface dataset:
Towards Accurate Loop Closure Detection in Semantic SLAM with 3D Semantic Covisibility Graphs
Lagrangian and Hamiltonian Mechanics for Probabilities on the Statistical Manifold
A Mathematical Introduction to Deep Reinforcement Learning for 5G/6G Applications
Indicative Image Retrieval: Turning Blackbox Learning into Grey
Self-Destructive Language Model
Parallelization of the K-Means Algorithm with Applications to Big Data Clustering
Exact simulation of the first-passage time of SDEs to time-dependent thresholds
Distributed Control Enforcing Group Sparsity in Smart Grids
Gate-Level Static Approximate Adders
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search
A proposal for a revised meta-architecture of intelligent tutoring systems to foster explainability and transparency for educators
Learning deep illumination-robust features from multispectral filter array images
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage
GEViTRec: Data Reconnaissance Through Recommendation Using a Domain-Specific Prevalence Visualization Design Space
Well-Founded Argumentation Semantics for Extended Logic Programming
Fourier spectra of measures associated with algorithmically random Brownian motion
Predicting the protein-ligand affinity from molecular dynamics trajectories
A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model
Recipes for Safety in Open-domain Chatbots
Chaotic Modulation for Analog-to-Information Conversion
Derandomizing compressed sensing with combinatorial design
SoK: Data Minimization in Machine Learning
Distributed Nonconvex Multiagent Optimization Over Time-Varying Networks
Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning
High Dimensional Expanders and Property Testing
Using LLMs to Aid Annotation and Collection of Clinically-Enriched Data in Bipolar Disorder and Schizophrenia
Systematic literature review of the trust reinforcement mechanisms exist in package ecosystems
Deep Learning for Prostate Pathology
Hiding higher order cross-correlations of multivariate data using Archimedean copulas
A stabilized mixed discontinuous Galerkin formulation for double porosity/permeability model
Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network
Hermite Neural Network Simulation for Solving the 2D Schrodinger Equation
Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
The Application of Artificial Neural Network Model to Predicting the Acid Mine Drainage from Long-Term Lab Scale Kinetic Test
AIMpy: A Python code to solve Schrödinger-like equations with the asymptotic iteration method
Non-IID Graph Neural Networks
Improving Densification in 3D Gaussian Splatting for High-Fidelity Rendering
Antifragility of Random Boolean Networks
Statistical mechanics of digital halftoning
Using Recurrent Neural Network for Learning Expressive Ontologies
HiLTS: Human in the Loop Therapeutic System: A Wireless-enabled Precision Medicine Platform for Brainwave Entrainment
Canonical Duality Theory for Topology Optimization
Evaluating the Effects of Situated and Embedded Visualisation in Augmented Reality Guidance for Isolated Medical Assistance
Developing a New Tool to Implement Computer-Supported Active Learning Strategies in the Engineering Classroom
DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras
A Factorial Mixture Prior for Compositional Deep Generative Models
Autonomous Algorithms for Centralized and Distributed Interference Coordination: A Virtual Layer Based Approach
Dynamic Adaptive Legged Locomotion Policy via Decoupling Reaction Force Control and Gait Control
Exposure Interpolation Via Fusing Conventional and Deep Learning Methods
A robotics leg inspired from an insect leg
SalyPath360: Saliency and Scanpath Prediction Framework for Omnidirectional Images
Human Health Indicator Prediction from Gait Video
Application of the Double Metaphone Algorithm to Amharic Orthography
Sequence-based Person Attribute Recognition with Joint CTC-Attention Model
Compressed Multi-task embeddings for Data-Efficient Downstream training and inference in Earth Observation
Small Large-Scale Wireless Networks: Mobility-Assisted Resource Discovery
Cortical Processing with Thermodynamic-RAM
Knapsack Pruning with Inner Distillation
Localized Compression: Applying Convolutional Neural Networks to Compressed Images
A practical attack to Bouftass's cryptosystem
Fluid Antenna with Linear MMSE Channel Estimation for Large-Scale Cellular Networks
Auto-weighted Multi-view Feature Selection with Graph Optimization
Robust Regression with Ensembles Communicating over Noisy Channels
Process Based Unification for Multi-Model Software Process Improvement
Ensembles of Randomized Time Series Shapelets Provide Improved Accuracy while Reducing Computational Costs
Compact packings of space with three sizes of spheres
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors
LINGUAL: Language-INtegrated GUidance in Active Learning for Medical Image Segmentation
AiR - An Augmented Reality Application for Visualizing Air Pollution
Confidence-Based Annotation Of Brain Tumours In Ultrasound
Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized Optimization
Multi-reference factor analysis: low-rank covariance estimation under unknown translations
Using Multilevel Circulant Matrix Approximate to Speed Up Kernel Logistic Regression
Estimation of Trocar and Tool Interaction Forces on the da Vinci Research Kit with Two-Step Deep Learning
Optimizing GEMM for Energy and Performance on Versal ACAP Architectures
Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Modeling Library Dependencies and Updates in Large Software Repository Universes
A comprehensive study on Blood Cancer detection and classification using Convolutional Neural Network
TransPath: Learning Heuristics For Grid-Based Pathfinding via Transformers
Adversarial images for the primate brain
Providentia - A Large Scale Sensing System for the Assistance of Autonomous Vehicles
HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation
Gaze-based intention estimation: principles, methodologies, and applications in HRI
On the Resilience of Direction-Shift Keying Against Phase Noise and Short Channel Coherence Time at mmWave Frequencies
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
Granger Causality: A Review and Recent Advances
Ensemble Kernel Methods, Implicit Regularization and Determinental Point Processes
Beyond the EULA: Improving consent for data mining
Stake Your Claim: Zero-Trust Validator Deployment Leveraging NFTs and Smart Contracts in Proof-of-Stake Networks
New spectral imaging biomarkers for sepsis and mortality in intensive care
Reducing Spreadsheet Risk with FormulaDataSleuth
Suszko's Problem: Mixed Consequence and Compositionality
A randomized, efficient algorithm for 3SAT
An ontology-based approach to data exchanges for robot navigation on construction sites
Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-based Bias Detector
Latent Domain Learning with Dynamic Residual Adapters
Particle Computation: Designing Worlds to Control Robot Swarms with only Global Signals
Cognitive Hierarchy and Voting Manipulation
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization
Collaborative search and autonomous task allocation in organizations of learning agents
An Efficient Technique for Image Captioning using Deep Neural Network
Recurrent Distributed Reinforcement Learning for Partially Observable Robotic Assembly
Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions
UHKD: A Unified Framework for Heterogeneous Knowledge Distillation via Frequency-Domain Representations
Scene-Aware Audio for 360\textdegree{} Videos
Performance Analysis of Adaptive Noise Cancellation for Speech Signal
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model
Multiple Convex Objects Image Segmentation via Proximal Alternating Direction Method of Multipliers
ELYADATA & LIA at NADI 2025: ASR and ADI Subtasks
PanoNav: Mapless Zero-Shot Object Navigation with Panoramic Scene Parsing and Dynamic Memory
Automatic Fake News Detection: Are current models "fact-checking" or "gut-checking"?
DREAMer-VXS: A Latent World Model for Sample-Efficient AGV Exploration in Stochastic, Unobserved Environments
Classification with Ultrahigh-Dimensional Features
Block matching algorithm based on Harmony Search optimization for motion estimation
Accelerating Sparse Ternary GEMM for Quantized ML on Apple Silicon
InQSS: a speech intelligibility assessment model using a multi-task learning network
Self-Driving Cars and Driver Alertness
Standard Steady State Genetic Algorithms Can Hillclimb Faster than Mutation-only Evolutionary Algorithms
Knowledge State Networks for Effective Skill Assessment in Atomic Learning
Mitigating Trojanized Prompt Chains in Educational LLM Use Cases: Experimental Findings and Detection Tool Design
Distinguishing Tor From Other Encrypted Network Traffic Through Character Analysis
A Quantum Spectral Method for Non-Periodic Boundary Value Problems
NullFace: Training-Free Localized Face Anonymization
Animal social networks - an introduction for complex systems scientists
Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
Physics-informed Gaussian Processes for Model Predictive Control of Nonlinear Systems
Deep Spectral Correspondence for Matching Disparate Image Pairs
BARE: Combining Base and Instruction-Tuned Language Models for Better Synthetic Data Generation
Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems
A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences
TokenVerse: Unifying Speech and NLP Tasks via Transducer-based ASR
Parallel Triangles Counting Using Pipelining
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming
Multiresolution Kernels
Confidence Estimation in Structured Prediction
Multi-Target Filter and Detector for Speaker Diarization
On the Implementation and Assessment of several Divide & Conquer Matheuristic Strategies for the solution of the Knapsack Problem
Analog Network Coding in the Generalized High-SNR Regime
High Speed Multiple Valued Logic Full Adder Using Carbon Nano Tube Field Effect Transistor
Conditions for Advantageous Quantum Bitcoin Mining
Boolean Matrix Factorization with SAT and MaxSAT
HeROS: a miniaturised platform for research and development on Heterogeneous RObotic Systems
Towards a constructive multilayer perceptron for regression task using non-parametric clustering. A case study of Photo-Z redshift reconstruction
STYLER: Style Modeling with Rapidity and Robustness via SpeechDecomposition for Expressive and Controllable Neural Text to Speech
Understanding Convolutional Neural Networks with A Mathematical Model
Asymmetric Learning Vector Quantization for Efficient Nearest Neighbor Classification in Dynamic Time Warping Spaces
Markov Lemma for Countable Alphabets
Fast Approximation Schemes for Bin Packing
A Framework for Algorithm Stability
Dynamic Tree Algorithms
SoK: On the Security & Privacy in Federated Learning
A Generalized Schwarz-type Non-overlapping Domain Decomposition Method using Physics-constrained Neural Networks
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials
Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators
Fairness Without Labels: Pseudo-Balancing for Bias Mitigation in Face Gender Classification
The realization of tones in spontaneous spoken Taiwan Mandarin: a corpus-based survey and theory-driven computational modeling
ForkMerge: Overcoming Negative Transfer in Multi-Task Learning
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations
An Empirical Study of Compression-friendly Community Detection Methods
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation
Prescribed Eigenvalues via Optimal Perturbation of main-diagonal submatrix
Data Mining: A Prediction for Performance Improvement of Engineering Students using Classification
The State of Service Robots: Current Bottlenecks in Object Perception and Manipulation
HiFi-123: Towards High-fidelity One Image to 3D Content Generation
Enhancing Language Model Rationality with Bi-Directional Deliberation Reasoning
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning
KD-GAT: Combining Knowledge Distillation and Graph Attention Transformer for a Controller Area Network Intrusion Detection System
Disrupting Model Training with Adversarial Shortcuts
Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage
Privacy-Preserving Distributed Optimal Power Flow with Partially Homomorphic Encryption
X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation
Socio-economic and Technological Factors Influencing Financial Inclusion among Indigenous Peoples in Bauchi State, Nigeria
Novel Blockchain-based Protocols for Electronic Voting and Auctions
Identifiability Challenges in Sparse Linear Ordinary Differential Equations
Scalable Differentially Private Bayesian Optimization
About the domino problem in the hyperbolic plane, a new solution
Efficient Real-World Deblurring using Single Images: AIM 2025 Challenge Report
DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning
A Unified Framework for N-Dimensional Visualization and Simulation: Implementation and Evaluation including 4D Boolean
Reaching the Unreached A Role of ICT in Sustainable Rural Development
AI-Assisted Writing in Education: Ecosystem Risks and Mitigations
Backtesting Sentiment Signals for Trading: Evaluating the Viability of Alpha Generation from Sentiment Analysis
CPE-Pro: A Structure-Sensitive Deep Learning Method for Protein Representation and Origin Evaluation
Debugging Framework Applications: Benefits and Challenges
Training Articulatory Inversion Models for Inter-Speaker Consistency
Note sur les temps de service résiduels dans les systèmes type M/G/c
SHAPE : Self-Improved Visual Preference Alignment by Iteratively Generating Holistic Winner
Dynamic System Identification, and Control for a cost effective open-source VTOL MAV
Differentially private and decentralized randomized power method
Expected uniform integration approximation under general equal measure partition
Boosting 3D Object Detection via Object-Focused Image Fusion
TrustMark: Universal Watermarking for Arbitrary Resolution Images
A High-Order-Accurate 3D Surface Integral Equation Solver for Uniaxial Anisotropic Media
Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm
Online List Access with Precedence Constraints
Self-Interpretable Model with TransformationEquivariant Interpretation
Mario at EXIST 2025: A Simple Gateway to Effective Multilingual Sexism Detection
Exposing Disparities in Flood Adaptation for Equitable Future Interventions
Performance Analysis and Optimal Power Allocation for Linear Receivers Based on Superimposed Training
Towards Generalising Neural Topical Representations
Demystifying the Role of Rule-based Detection in AI Systems for Windows Malware Detection
Hi-d maps: An interactive visualization technique for multi-dimensional categorical data
Consistent Robust Adversarial Prediction for General Multiclass Classification
Decoupling of neural network calibration measures
"On the engineers' new toolbox" or Analog Circuit Design, using Symbolic Analysis, Computer Algebra, and Elementary Network Transformations
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Hamiltonicity below Dirac's condition
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
Case study: Mapping potential informal settlements areas in Tegucigalpa with machine learning to plan ground survey
Learning in the Machine: To Share or Not to Share?
RECAP: Reproducing Copyrighted Data from LLMs Training with an Agentic Pipeline
Can dialogues with AI systems help humans better discern visual misinformation?
Multiagent Reinforcement Learning based Energy Beamforming Control
Exploring how Component Factors and their Uncertainty Affect Judgements of Risk in Cyber-Security
Seeds Don't Lie: An Adaptive Watermarking Framework for Computer Vision Models
Towards Natural Robustness Against Adversarial Examples
JRC EuroVoc Indexer JEX - A freely available multi-label categorisation tool
A Damage Phase-Field Model for Fractional Viscoelastic Materials in Finite Strain
Depth-Preserving Real-Time Arbitrary Style Transfer
POTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization
Unconditional Latent Diffusion Models Memorize Patient Imaging Data
Adapting sample size in particle filters through KLD-resampling
Using logical form encodings for unsupervised linguistic transformation: Theory and applications
QoS Web Service Security Dynamic Intruder Detection System for HTTP SSL services
Extrinsically adaptable systems
Matrix Decompositions and Sparse Graph Regularity
OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging
A Novel Interconnect Camouflaging Technique using Transistor Threshold Voltage
A Re-node Self-training Approach for Deep Graph-based Semi-supervised Classification on Multi-view Image Data
Active preference learning based on radial basis functions
Cross-attention learning enables real-time nonuniform rotational distortion correction in OCT
CIM: Class-Irrelevant Mapping for Few-Shot Classification
From a set of parts to an indivisible whole. Part III: Holistic space of multi-object relations
Optimizing MIMO Efficiency in 5G through Precoding Matrix Techniques
Large-Scale Spatial Cross-Calibration of Hinode/SOT-SP and SDO/HMI
Symmetric Behavior Regularization via Taylor Expansion of Symmetry
From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference
Learning about knowledge: A complex network approach
The Human Side of Software Engineering: An Investigation of Challenges
Detection and Analysis of Human Emotions through Voice and Speech Pattern Processing
Could We Distinguish Child Users from Adults Using Keystroke Dynamics?
Assessing the Dynamics of the Coffee Value Chain in Davao del Sur: An Agent-Based Modeling Approach
Adaptive Attack Detection in Text Classification: Leveraging Space Exploration Features for Text Sentiment Classification
One-Topic-Doesn't-Fit-All: Transcreating Reading Comprehension Test for Personalized Learning
Beamforming Design and Multi-User Scheduling in Transmissive RIS Enabled Distributed Cooperative ISAC Networks with RSMA
Job-related discourse on social media
Identifying Emergent Leadership in OSS Projects Based on Communication Styles
Uncertainty-Driven Multi-Scale Feature Fusion Network for Real-time Image Deraining
Text Mining Descriptions Of Dreams: aesthetic and clinical efforts
Adaptive Extended Kalman Filter (ROSE-Filter) for Positioning System
Review of Factor Graphs for Robust GNSS Applications
A comprehensive overview of the protocols associated with Intelligent Transportation Systems
Design of State-based Schedulers for a Network of Control Loops
A Resilient Quantum Secret Sharing Scheme
Principled Out-of-Distribution Generalization via Simplicity
Automatic Post-Editing for Machine Translation
Adaptive recycled plastic architecture: Vacuum-Sealed Chainmail Structures Through Computational Design
To FP8 and Back Again: Quantifying the Effects of Reducing Precision on LLM Training Stability
An Exploration of Social Identity: The Geography and Politics of News-Sharing Communities in Twitter
Performance evaluation of gust load alleviation systems for flexible aircraft via optimal control
Cross-Layer Attention Probing for Fine-Grained Hallucination Detection
Flight Demonstration and Model Validation of a Prototype Variable-Altitude Venus Aerobot
The effect of priors on Learning with Restricted Boltzmann Machines
On the complexity of finding internally vertex-disjoint long directed paths
Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization
Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization
A new upper bound for spherical codes
Fusion of Visual-Inertial Odometry with LiDAR Relative Localization for Cooperative Guidance of a Micro-Scale Aerial Vehicle
Na\"ive Bayes and Random Forest for Crop Yield Prediction
TTAQ: Towards Stable Post-training Quantization in Continuous Domain Adaptation
Understanding Generative AI Content with Embedding Models
DimOL: Dimensional Awareness as A New 'Dimension' in Operator Learning
Track selection in Multifunction Radars for Multi-target tracking: an Anti-Coordination game
Subjectively Interesting Subgroup Discovery on Real-valued Targets
SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-k Features
Opt4GPTQ: Co-Optimizing Memory and Computation for 4-bit GPTQ Quantized LLM Inference on Heterogeneous Platforms
PanoWan: Lifting Diffusion Video Generation Models to 360° with Latitude/Longitude-aware Mechanisms
FactsR: A Safer Method for Producing High Quality Healthcare Documentation
Low-Complexity Variable Forgetting Factor Constrained Constant Modulus RLS Algorithm for Adaptive Beamforming
Polynomial Kernels for Generalized Domination Problems
Semi-dynamic Algorithms for Strongly Chordal Graphs
hlslib: Software Engineering for Hardware Design
Can We Derive Explicit and Implicit Bias from Corpus?
Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data
Gatherplot: A Non-Overlapping Scatterplot
Exploring Graph-based Knowledge: Multi-Level Feature Distillation via Channels Relational Graph
Hyperbolic Mapping of Human Proximity Networks
Strong Equivalence Made Easy: Nested Expressions and Weight Constraints
Optimal Linear Precoding Strategies for Wideband Non-Cooperative Systems based on Game Theory-Part I: Nash Equilibria
Personalized Text-to-Image Generation with Auto-Regressive Models
Temporal-Spatial Feature Pyramid for Video Saliency Detection
Correlated Mean Field Imitation Learning
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science
SLAC: A Sparsely Labeled Dataset for Action Classification and Localization
Enhancing Automated Paper Reproduction via Prompt-Free Collaborative Agents
Robust infrared small target detection using self-supervised and a contrario paradigms
Comparative analysis of SVIT and Skype features in e-Learning process
Towards Robust Evaluation of Visual Activity Recognition: Resolving Verb Ambiguity with Sense Clustering
The black-and-white coloring problem on distance hereditary graphs and strongly chordal graphs
Metaphoric Paraphrase Generation
New Subquadratic Approximation Algorithms for the Girth
Finite Length Analysis of Caching-Aided Coded Multicasting
Unity Smoothing for Handling Inconsistent Evidence in Bayesian Networks and Unity Propagation for Faster Inference
Binaural multichannel blind speaker separation with a causal low-latency and low-complexity approach
Topological field theory and computing with instantons
Tracking the performance of an R&D programme in the Biomedical Sciences
Space-ground Fluid AI for 6G Edge Intelligence
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB
Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models
A unified framework for the analysis, numerical approximation and model reduction of linear operator equations, Part I: Well-posedness in space and time