yusuke1997/dblp-id-title huggingface dataset:
On Efficient and Robust Metrics for RANSAC Hypotheses and 3D Rigid Registration
CuPID: Leveraging Masked Single-Lead ECG Modelling for Enhancing the Representations
Cascading Power Outages Propagate Locally in an Influence Graph that is not the Actual Grid Topology
The Veln(ia)s is in the Details: Evaluating LLM Judgment on Latvian and Lithuanian Short Answer Matching
Multi-Task Unsupervised Contextual Learning for Behavioral Annotation
SwinCCIR: An end-to-end deep network for Compton camera imaging reconstruction
AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
Tileable Surfaces
Restoring Vision through Retinal Implants - A Systematic Literature Review
Extra Throughput versus Days Lost in load-shifting V2G services: Influence of dominant degradation mechanism
Machine learning phase transitions: Connections to the Fisher information
Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning
Optimal Blackjack Strategy Recommender: A Comprehensive Study on Computer Vision Integration for Enhanced Gameplay
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging
Accelerating DNN Training With Photonics: A Residue Number System-Based Design
VigiFlood: evaluating the impact of a change of perspective on flood vigilance
ELMS: Elasticized Large Language Models On Mobile Devices
Octal Games on Graphs: The game 0.33 on subdivided stars and bistars
A Method to Automatically Extract a Network Device Configuration Model by Parsing Network Device Configurations
Need-based Communication for Smart Grid: When to Inquire Power Price?
Sign Stable Projections, Sign Cauchy Projections and Chi-Square Kernels
The CTU Prague Relational Learning Repository
Coordination of Electrical and Heating Resources by Self-Interested Agents
Gesture-based Human-Machine Interaction: Taxonomy, Problem Definition, and Analysis
Training Spiking Neural Networks via Augmented Direct Feedback Alignment
Models of Type Theory with Strict Equality
MobileUPReg: Identifying User-Perceived Performance Regressions in Mobile OS Versions
BeLLMan: Controlling LLM Congestion
Hashtags are (not) judgemental: The untold story of Lok Sabha elections 2019
Can LLMs Automate Fact-Checking Article Writing?
Learning Representations from Road Network for End-to-End Urban Growth Simulation
Exposing Length Divergence Bias of Textual Matching Models
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework
Human and Sheep Facial Landmarks Localisation by Triplet Interpolated Features
Generalized Canonical Correlation Analysis for Disparate Data Fusion
Training Large Language Models for Advanced Typosquatting Detection
Ambiguity through the lens of measure theory
Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies
How Execution Features Relate to Failures: An Empirical Study and Diagnosis Approach
Multiple Models for Discrete-time Adaptive Iterative Learning Control
A Reference Architecture for Blockchain-based Peer-to-Peer IoT Applications
A minimalistic representation model for head direction system
Hierarchical Multi-Objective Optimization for Precise Performance Design of Closed-Chain Legged Mechanisms
Impact of Communication Delay and Sampling on Small-Signal Stability of IBR-rich Power Systems
Codes with Biochemical Constraints and Single Error Correction for DNA-Based Data Storage
Googling the Big Lie: Search Engines, News Media, and the US 2020 Election Conspiracy
An experiment exploring the theoretical and methodological challenges in developing a semi-automated approach to analysis of small-N qualitative data
On the Gap between Hereditary Discrepancy and the Determinant Lower Bound
Agentic AI Sustainability Assessment for Supply Chain Document Insights
PhiloBERTA: A Transformer-Based Cross-Lingual Analysis of Greek and Latin Lexicons
Deep Learning-based Stress Determinator for Mouse Psychiatric Analysis using Hippocampus Activity
Ultrametricity increases the predictability of cultural dynamics
CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement
DePT3R: Joint Dense Point Tracking and 3D Reconstruction of Dynamic Scenes in a Single Forward Pass
Euler Characteristic Surfaces
Linear multistep methods with repeated global Richardson
YOLO-MARL: You Only LLM Once for Multi-agent Reinforcement Learning
Entanglement-assisted zero-error capacity is upper bounded by the Lovasz theta function
Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition
Event-based vision for egomotion estimation using precise event timing
A Simple Analysis of the Dikin Walk
Improving the Robustness of Object Detection and Classification AI models against Adversarial Patch Attacks
M2SE: A Multistage Multitask Instruction Tuning Strategy for Unified Sentiment and Emotion Analysis
Word Embeddings to Enhance Twitter Gang Member Profile Identification
One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts
All-Weather Object Recognition Using Radar and Infrared Sensing
TEE-based Key-Value Stores: a Survey
Policies for Fair Exchanges of Resources
Cocoon: A System Architecture for Differentially Private Training with Correlated Noises
A DeepONet Multi-Fidelity Approach for Residual Learning in Reduced Order Modeling
FreaAI: Automated extraction of data slices to test machine learning models
A Review of Vision-Language Models and their Performance on the Hateful Memes Challenge
Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight
3D Human Pose Machines with Self-supervised Learning
Finding More Relevance: Propagating Similarity on Markov Random Field for Image Retrieval
Reinforcement Learning for Block Decomposition of CAD Models
A Framework for Benchmarking and Aligning Task-Planning Safety in LLM-Based Embodied Agents
The Complexity of Maximizing the MST-ratio
RareFlow: Physics-Aware Flow-Matching for Cross-Sensor Super-Resolution of Rare-Earth Features
A note on a problem in communication complexity
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs
Correcting a Fraction of Errors in Nonbinary Expander Codes with Linear Programming
Meshfree method for solving the elliptic Monge-Ampere equation with Dirichlet boundary
A conceptual model for leaving the data-centric approach in machine learning
Algorithmically generating new algebraic features of polynomial systems for machine learning
Simultaneous Feature and Expert Selection within Mixture of Experts
SAT-Based Extraction of Behavioural Models for Java Libraries with Collections
Individual Causal Inference with Structural Causal Model
Robust Bayesian Compressed sensing
Constrained Dynamics Simulation: More With Less
XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change
Consumer belonging behaviour: Qualitative testing of a theoretical framework and proposal of an alternative model
Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
A Hybrid Physics-Based and Reinforcement Learning Framework for Electric Vehicle Charging Time Prediction
RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces
Stablizer-Free Weak Galerkin Methods for Monotone Quasilinear Elliptic PDEs
Sleep Analytics and Online Selective Anomaly Detection
Multi-class Generalized Binary Search for Active Inverse Reinforcement Learning
Design of Secure, Privacy-focused, and Accessible E-Payment Applications for Older Adults
Delaunay Triangulations of Points on Circles
Anonymized e-mail interviews with R package maintainers active on CRAN and GitHub
Capsule-Transformer for Neural Machine Translation
Robust Latent Representations via Cross-Modal Translation and Alignment
Dynamic Network Embeddings for Network Evolution Analysis
Recognizing Part Attributes with Insufficient Data
On the tightness of information-theoretic bounds on generalization error of learning algorithms
SCAR: Shapley Credit Assignment for More Efficient RLHF
Improving the detection of technical debt in Java source code with an enriched dataset
SWIFT: Expedited Failure Recovery for Large-scale DNN Training
Web spam classification using supervised artificial neural network algorithms
Why do we regularise in every iteration for imaging inverse problems?
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
Evaluating Predictive Models in Cybersecurity: A Comparative Analysis of Machine and Deep Learning Techniques for Threat Detection
Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG
Binary Code Similarity Detection via Graph Contrastive Learning on Intermediate Representations
MIMO Wiretap Channels with Arbitrarily Varying Eavesdropper Channel States
On the Throughput-Delay Tradeoff in Cellular Multicast
Hardness, approximability, and exact algorithms for vector domination and total vector domination in graphs
A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks
End-to-end Deep Learning of Optical Fiber Communications
Non-regular graphs with minimal total irregularity
Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI
Voronoi Convolutional Neural Networks
Priority based Bandwidth Adaptation for Multi-class Traffic in Wireless Networks
Revisiting Tree Isomorphism: AHU Algorithm with Primes Numbers
Universality of Layer-Level Entropy-Weighted Quantization Beyond Model Architecture and Size
Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation
Generalized PMC model for the hybrid diagnosis of multiprocessor systems
Balancing hydrogen delivery in national energy systems: impact of the temporal flexibility of hydrogen delivery on export prices
On Coded Caching in the Overloaded MISO Broadcast Channel
Quantum LDPC codes with positive rate and minimum distance proportional to n^{1/2}
Coloration de nombre de Grundy pour les graphes triangulés
Toward Demand-Aware Networking: A Theory for Self-Adjusting Networks
SpinAPS: A High-Performance Spintronic Accelerator for Probabilistic Spiking Neural Networks
Proving Correctness and Completeness of Normal Programs - a Declarative Approach
Shape-constrained Estimation of Value Functions
A review on vision-based motion estimation
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping
A Prompt Refinement-based Large Language Model for Metro Passenger Flow Forecasting under Delay Conditions
Teaching UAVs to Race With Observational Imitation Learning
Cooperation Enforcement for Packet Forwarding Optimization in Multi-hop Ad-hoc Networks
Faces in the Wild: Efficient Gender Recognition in Surveillance Conditions
DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes
Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films
Safe and Chaotic Compilation for Hidden Deterministic Hardware Aliasing
CAS-GAN for Contrast-free Angiography Synthesis
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
A Closer Look at Multi-Cell Cooperation via Stochastic Geometry and Large Deviations
Scalpel-SAM: A Semi-Supervised Paradigm for Adapting SAM to Infrared Small Object Detection
Power-Capping Metric Evaluation for Improving Energy Efficiency
Enhancing Reasoning Capacity of SLM using Cognitive Enhancement
Distributed Hypothesis Testing Over Noisy Channels
Probabilistic Constraint Construction for Network-safe Load Coordination
Visual Instruction Pretraining for Domain-Specific Foundation Models
Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification
Magnifying Lens Abstraction for Stochastic Games with Discounted and Long-run Average Objectives
Mind the Gap: Evaluating the Representativeness of Quantitative Medical Language Reasoning LLM Benchmarks for African Disease Burdens
Mixed Human-Robot Team Surveillance
Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models
Finding a Maximum Clique using Ant Colony Optimization and Particle Swarm Optimization in Social Networks
Acquisition of high-quality images for camera calibration in robotics applications via speech prompts
Beyond Algorithmic Bias: A Socio-Computational Interrogation of the Google Search by Image Algorithm
Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm
Inductance Estimation for High-Power Multilayer Rectangle Planar Windings
A combined XFEM phase-field computational model for crack growth without remeshing
Accelerated Dual Learning by Homotopic Initialization
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection
Deletion-Robust Submodular Maximization at Scale
Extended Role Based Access Control with Blob Service on Cloud
Look-Ahead Reasoning on Learning Platforms
Enabling Data Exchange in Interactive State Estimation under Privacy Constraints
Determining the Optimal Number of Clusters for Time Series Datasets with Symbolic Pattern Forest
An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis
Context-Aware Trajectory Anomaly Detection
A new conception for computing gröbner basis and its applications
Joint Estimation of the Non-parametric Transitivity and Preferential Attachment Functions in Scientific Co-authorship Networks
Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Crime
Adversarial Confusion Attack: Disrupting Multimodal Large Language Models
Distributed Cooperative Localization in Wireless Sensor Networks without NLOS Identification
Detecting gender differences in perception of emotion in crowdsourced data
Understood in Translation, Transformers for Domain Understanding
Enhancing data security against cyberattacks in artificial intelligence based smartgrid systems with crypto agility
Zero Shot Context-Based Object Segmentation using SLIP (SAM+CLIP)
Text authorship identified using the dynamics of word co-occurrence networks
Balancing and Walking Using Full Dynamics LQR Control With Contact Constraints
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks
Boosting I/O and visualization for exascale era using Hercule: test case on RAMSES
Gradually Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images
Dynamic Programming Algorithms for Discovery of Antibiotic Resistance in Microbial Genomes
A Proof of the Factorization Forest Theorem
Comparative Study of Machine Learning Algorithms in Detecting Cardiovascular Diseases
BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR
SLIM: Sim-to-Real Legged Instructive Manipulation via Long-Horizon Visuomotor Learning
DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification
Immutable Digital Recognition via Blockchain
Interactive Hierarchical Guidance using Language
Deep Reinforcement Learning Based Semi-Autonomous Control for Robotic Surgery
Noisy Beeping Networks
Binary-decomposed DCNN for accelerating computation and compressing model without retraining
Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective
Using machine learning to correct model error in data assimilation and forecast applications
Language Generation from Human Brain Activities
Super-Resolution of Brain MRI Images using Overcomplete Dictionaries and Nonlocal Similarity
Shift Variance in Scene Text Detection
Decision Making with Interval Influence Diagrams
Is the Classic Convex Decomposition Optimal for Bound-Preserving Schemes in Multiple Dimensions?
Quest Love: Do Blockchain Points Build Loyalty or Just Feed the Bots?
Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records
Sensor-Space Based Robust Kinematic Control of Redundant Soft Manipulator by Learning
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
Extraction of handwritten areas from colored image of bank checks by an hybrid method
Prompt Learning for Oriented Power Transmission Tower Detection in High-Resolution SAR Images
Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics
Computing the jump-term in space-time FEM for arbitrary temporal interpolation
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
3D Medical Image Segmentation based on multi-scale MPU-Net
Quantum network exploration with a faulty sense of direction
Semantics-Guided Moving Object Segmentation with 3D LiDAR
Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey
A spectral algorithm for robust regression with subgaussian rates
SpecMaskGIT: Masked Generative Modeling of Audio Spectrograms for Efficient Audio Synthesis and Beyond
Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks
Flexible, Model-Agnostic Method for Materials Data Extraction from Text Using General Purpose Language Models
Randomized based restricted kernel machine for hyperspectral image classification
Taming the latency in multi-user VR 360°: A QoE-aware deep learning-aided multicast framework
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data
Fiding forbidden minors in sublinear time: a O(n 1/2 + o(1) )-query one-sided tester for minor closed properties on bounded degree graphs
Unsupervised Multimodal Representation Learning across Medical Images and Reports
Computing the bridge length: the key ingredient in a continuous isometry classification of periodic point sets
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation
IA-GCN: Interactive Graph Convolutional Network for Recommendation
Low latency communication over commercially available LTE and remote driving
MANAi - An IntelliJ Plugin for Software Energy Consumption Profiling
On Capacity Scaling of Underwater Networks: An Information-Theoretic Perspective
Scalable Synthesis and Verification of String Stable Neural Certificates for Interconnected Systems
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Evaluation of really good grammatical error correction
Querying RDF Databases with Sub-CONSTRUCTs
AIMusicGuru: Music Assisted Human Pose Correction
Toward Guaranteed Illumination Models for Non-Convex Objects
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
Photonic Engineering for CV-QKD over Earth-Satellite Channels
Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden's J statistic
I Wish I Didn't Say That! Analyzing and Predicting Deleted Messages in Twitter
Hybrid architecture for satellite data processing workflow management
DeepSNR: A deep learning foundation for offline gravitational wave detection
Minimax deviation strategies for machine learning and recognition with short learning samples
A Review of Adversarial Attacks in Computer Vision
Triangular Self-Assembly
Asking Clarifying Questions for Preference Elicitation With Large Language Models
Relay Satellite Assisted LEO Constellation NOMA Communication System
An Atemporal Model of Physical Complexity
EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization
An In Depth Study into Using EMI Signatures for Appliance Identification
Multimodal Multihop Source Retrieval for Web Question Answering
An Intelligent Location Management approaches in GSM Mobile Network
A Starting Point for Dynamic Community Detection with Leiden Algorithm
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking
SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis
Exploring the Uncharted Export: an Analysis of Tourism-Related Foreign Expenditure with International Spend Data
Identifying the Leading Factors of Significant Weight Gains Using a New Rule Discovery Method
Optimal Microgrid Sizing of Offshore Renewable Energy Sources for Offshore Platforms and Coastal Communities
Error analysis of first time to a threshold value for partial differential equations
Energy Efficient Estimation of Gaussian Sources Over Inhomogeneous Gaussian MAC Channels
Language-Driven Closed-Loop Grasping with Model-Predictive Trajectory Replanning
A Performance Model for the Communication in Fast Multipole Methods on HPC Platforms
MDP environments for the OpenAI Gym
Rating and aspect-based opinion graph embeddings for explainable recommendations
Measurement Matrix Design for Compressive Sensing Based MIMO Radar
X-ray and Visible Spectra Circular Motion Images Dataset
Autonomous Pressure Control in MuVacAS via Deep Reinforcement Learning and Deep Learning Surrogate Models
On Learning Discrete Graphical Models Using Greedy Methods
Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning
FOSA: Full Information Maximum Likelihood (FIML) Optimized Self-Attention Imputation for Missing Data
Internet of Things (IoT) Connectivity in 6G: An Interplay of Time, Space, Intelligence, and Value
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
Discovering dynamical features of Hodgkin-Huxley-type model of physiological neuron using artificial neural network
AI-Driven Prognostics for State of Health Prediction in Li-ion Batteries: A Comprehensive Analysis with Validation
Color naming guided intrinsic image decomposition
Accelerating Non-volatile/Hybrid Processor Cache Design Space Exploration for Application Specific Embedded Systems
'It's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions
Contrastive Weight Regularization for Large Minibatch SGD
Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic
Deep Learning for 3D Point Cloud Enhancement: A Survey
High Quality Queueing Information from Accelerated Active Network Tomography
A Distributed Routing Algorithm for Internet-wide Geocast
Test Framework for a Virtual Competition Testbed
PP-GAN : Style Transfer from Korean Portraits to ID Photos Using Landmark Extractor with GAN
Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond
Reinforcement Learning for Finite-Horizon Restless Multi-Armed Multi-Action Bandits
LLM-Empowered Agentic MAC Protocols: A Dynamic Stackelberg Game Approach
Comprehensive Review of Performance Optimization Strategies for Serverless Applications on AWS Lambda
Boosting Fidelity for Pre-Trained-Diffusion-Based Low-Light Image Enhancement via Condition Refinement
IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization
JSPLIT: A Taxonomy-based Solution for Prompt Bloating in Model Context Protocol
Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in Indonesia
Colossal-Auto: Unified Automation of Parallelization and Activation Checkpoint for Large-scale Models
Textual Entailment Recognition with Semantic Features from Empirical Text Representation
PI-MFM: Physics-informed multimodal foundation model for solving partial differential equations
Provisioning Spot Market Cloud Resources to Create Cost-effective Virtual Clusters
Generate Novel Molecules With Target Properties Using Conditional Generative Models
Removing numerical dispersion from linear evolution equations
Predicting Anchor Links between Heterogeneous Social Networks