yusuke1997/dblp-id-title huggingface dataset:
FOLD-R++: A Toolset for Automated Inductive Learning of Default Theories from Mixed Data
SquareχPO: Differentially Private and Robust χ 2 -Preference Optimization in Offline Direct Alignment
Strong Converse Exponent for State Dependent Channels with Full State Information at the Sender and Partial State Information at the Receiver
Representation Learning for Image-based Music Recommendation
Security Strength Indicator in Fallback Authentication: Nudging Users for Better Answers in Secret Questions
Framework for Visualizing Model-Driven Software Evolution and its Application
A physically-informed Deep-Learning approach for locating sources in a waveguide
Solution for Emotion Prediction Competition of Workshop on Emotionally and Culturally Intelligent AI
Primitive Vector Cipher(PVC): A Hybrid Encryption Scheme based on the Vector Computational Diffie-Hellman (V-CDH) Problem
A large deviation approach to super-critical bootstrap percolation on the random graph G n, p
Descriptive Control Theory: A Proposal
On Mixed Iterated Revisions
OxO2 - A SSSOM mapping browser for logically sound crosswalks
Zero Knowledge Games
Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator
Semantic Anchors in In-Context Learning: Why Small LLMs Cannot Flip Their Labels
Physical maze solvers. All twelve prototypes implement 1961 Lee algorithm
Support Vector Regression: Risk Quadrangle Framework
Expanding Semantic Knowledge for Zero-shot Graph Embedding
3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection
Music Source Separation with Generative Flow
Deep Learning Guided Undersampling Mask Design for MR Image Reconstruction
Feature Analysis for Assessing the Quality of Wikipedia Articles through Supervised Classification
Optimization of Training and Feedback Overhead for Beamforming over Block Fading Channels
SIC-free Multicast Scheduling for Multi-antenna Coded Caching
Vertex Covers Revisited: Indirect Certificates and FPT Algorithms
Enhancing 3D Point Cloud Classification with ModelNet-R and Point-SkipNet
An Upper Bound for the Number of Hamiltonian Cycles on a Symmetric Diagraph
Learning Provably Robust Policies in Uncertain Parametric Environments
BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization
Is Climate Change Controversial? Modeling Controversy as Contention Within Populations
Incidences with curves in three dimensions
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective
Deep Learning at the Intersection: Certified Robustness as a Tool for 3D Vision
Dual-Role AoI-based Incentive Mechanism for HD map Crowdsourcing
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks
Removing scanner biases using Generative Adversarial Networks
Robotics in Snow and Ice
Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation
Optimization of gridding algorithms for FFT by vector optimization
The Quantum Approximate Optimization Algorithm Can Require Exponential Time to Optimize Linear Functions
Localization of License Plate Using Morphological Operations
Evaluating Long-Context Reasoning in LLM-Based WebAgents
Can Similarity-Based Domain-Ordering Reduce Catastrophic Forgetting for Intent Recognition?
Maximum Likelihood Channel Estimation for RIS-Aided Communications With LOS Channels
Differential approximation of the Gaussian by short cosine sums with exponential error decay
FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning
Teaching Functional Programmers Logic and Metatheory
Scaling Gaussian Processes for Learning Curve Prediction via Latent Kronecker Structure
A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion
Automatic compile-time synthesis of entropy-optimal Boltzmann samplers
Face mask detection using convolution neural network
ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
DeepStream: Prototyping Deep Joint Source-Channel Coding for Real-Time Multimedia Transmissions
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering
On the Computation of Square Roots and Inverse Square Roots of Gram Matrices for Surface Integral Equations in Electromagnetics
GAN Steerability without optimization
Enumerating Teams in First-Order Team Logics
Foundations for Entailment Checking in Quantitative Separation Logic (extended version)
Information Elicitation in Agency Games
Weight Distribution of Classical Codes Influences Robust Quantum Metrology
MINIMAL: Mining Models for Data Free Universal Adversarial Triggers
Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment
Improving a Parallel C++ Intel AVX-512 SIMD Linear Genetic Programming Interpreter
Stabilization of Linear Switched Systems with Long Input Delay via Average or Averaging Predictor Feedbacks
Lotka-Volterra competition mechanism embedded in a decision-making method
A Principled Framework to Evaluate Quality of AC-OPF Datasets for Machine Learning: Benchmarking a Novel, Scalable Generation Method
Achieving both High Energy Efficiency and High Performance in On-Chip Communication using Hierarchical Rings with Deflection Routing
Constraint Logic Programming for Natural Language Processing
Using AI/ML to Find and Remediate Enterprise Secrets in Code & Document Sharing Platforms
Structured Multi-Step Reasoning for Entity Matching Using Large Language Model
Arabic CALL system based on pedagogically indexed text
High-order BDF convolution quadrature for subdiffusion models with a singular source term
Cloud computing as a platform for monetizing data services: A two-sided game business model
Alternating Direction Method of Multipliers (ADMMs) Based Distributed Approach For Wide-Area Control
Multi-agent reinforcement learning for intent-based service assurance in cellular networks
Uncertainty quantification of neural network models of evolving processes via Langevin sampling
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
Asymptotically preserving particle methods for strongly magnetizedplasmas in a torus
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
Are scene graphs good enough to improve Image Captioning?
Why model why? Assessing the strengths and limitations of LIME
Short Schedules for Fast Flow Rerouting
RSGaussian:3D Gaussian Splatting with LiDAR for Aerial Remote Sensing Novel View Synthesis
Wireless AI Evolution: From Statistical Learners to Electromagnetic-Guided Foundation Models
Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting
Dynamic evaluation of exponential polynomial curves and surfaces via basis transformation
Deep Heuristic Learning for Real-Time Urban Pathfinding
Approximate substitutions and the normal ordering problem
Harnessing the Power of AI based Image Generation Model DALLE 2 in Agricultural Settings
Minimizing the Time of Spam Mail Detection by Relocating Filtering System to the Sender Mail Server
CAAT-EHR: Cross-Attentional Autoregressive Transformer for Multimodal Electronic Health Record Embeddings
Optical Channel Impulse Response-Based Localization Using An Artificial Neural Network
The first neural machine translation system for the Erzya language
Space-Filling Subset Selection for an Electric Battery Model
Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine
On the Successive Cancellation Decoding of Polar Codes with Arbitrary Linear Binary Kernels
EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression
Mid-career pitfall of consecutive success in science
A staggered-grid multilevel incomplete LU for steady incompressible flows
Learning Attentive Neural Processes for Planning with Pushing Actions
Mapping ceramics research and its evolution
Tropical Algebraic approach to Consensus over Networks
Backhaul Traffic Balancing and Dynamic Content-Centric Clustering for the Downlink of Fog Radio Access Network
Heterogeneous Parallel Genetic Algorithm Paradigm
Hybrid-Parallel: Achieving High Performance and Energy Efficient Distributed Inference on Robots
Interpretable Polynomial Neural Ordinary Differential Equations
Real Rank Two Geometry
Deep weakly-supervised learning methods for classification and localization in histology images: a survey
FDINet: Protecting against DNN Model Extraction via Feature Distortion Index
Scalable optical neural networks based on temporal computing
Skin Controlled Electronic and Neuromorphic Tattoos
Rate of convergence of a semi-implicit time Euler scheme for a 2D Bénard-Boussinesq model
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards
PACLP: a fine-grained partition-based access control policy language for provenance
Meta Back-translation
A Two-stage U-Net for high-fidelity denoising of historical recordings
MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation
A Systematic Mapping Study on Software Architecture for AI-based Mobility Systems
Software Architecture and System Design of Rubin Observatory
Machine Intelligence for Outcome Predictions of Trauma Patients During Emergency Department Care
General Matrix-Matrix Multiplication Using SIMD features of the PIII
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features
ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos
Damping Identification of an Operational Offshore Wind Turbine using Enhanced Kalman filter-based Subspace Identification
A Meta-Learning Framework for Generalized Zero-Shot Learning
Introducing Three Best Known Goppa Codes
The NNN Formalization: Review and Development of Guideline Specification in the Care Domain
Adaptive K-PackCache: Cost-Centric Data Caching in Cloud
Measuring text summarization factuality using atomic facts entailment metrics in the context of retrieval augmented generation
Compressed sensing with local structure: uniform recovery guarantees for the sparsity in levels class
Evolution through Large Models
Architecting software monitors for control-flow anomaly detection through large language models and conformance checking
Recognizing Pneumonia in Real-World Chest X-rays with a Classifier Trained with Images Synthetically Generated by Nano Banana
Taming graphs with no large creatures and skinny ladders
Identification of hydrodynamic instability by convolutional neural networks
Real-time Caller Intent Detection In Human-Human Customer Support Spoken Conversations
ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching
Crowd Work on a CV? Understanding How AMT Fits into Turkers' Career Goals and Professional Profiles
Binary Weighted Memristive Analog Deep Neural Network for Near-Sensor Edge Processing
UnfoldLDM: Deep Unfolding-based Blind Image Restoration with Latent Diffusion Priors
High-Speed Data Dissemination over Device-to-Device Millimeter-Wave Networks for Highway Vehicular Communication
Responses to COVID-19 with Probabilistic Programming
Learning Compact Reward for Image Captioning
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations
A 0.03mm 2 100-250MHz Charge-Pump or Amplifier-Less Integrating Sub-Sampling PLL for Ultra-low Power Communication and Computing
EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysis
Fast Iterative Solver for the All-at-Once Runge-Kutta Discretization
How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction
Turning Circle-based Control Barrier Function for Efficient Collision Avoidance of Nonholonomic Vehicles
Neural Control Variates for Variance Reduction
Hardness of approximation for strip packing
Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment
GEO-Nav: a geometric dataset of voltage-gated sodium channels
A Design Framework for Limited Feedback MIMO Systems with Zero-Forcing DFE
Recursive Dynamic State Estimation for Power Systems with an Incomplete Nonlinear DAE Model
The continued usefulness of vocabulary tests for evaluating large language models
Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge
Distributed Secure Storage: Rate-Privacy Trade-Off and XOR-Based Coding Scheme
A detailed simulation model for fifth generation district heating and cooling networks with seasonal latent storage evaluated on field data
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation
Agile Culture Clash: Unveiling Challenges in Cultivating an Agile Mindset in Organizations
Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset
Modeling and Validating Temporal Rules with Semantic Petri-Net for Digital Twins
Complexity and Information: Measuring Emergence, Self-organization, and Homeostasis at Multiple Scales
Modular Design and Experimental Evaluation of 5G Mobile Cell Architectures Based on Overlay and Integrated Models
Parallel Tokenizers: Rethinking Vocabulary Design for Cross-Lingual Transfer
Ab-initio Quantum Transport with the GW Approximation, 42,240 Atoms, and Sustained Exascale Performance
Self-Supervised Multi-Modal Sequential Recommendation
Modelling Human Kinetics and Kinematics during Walking using Reinforcement Learning
Finite element analysis of very large bone models based on micro-CT scans
Searching for an algebra on CSP solutions
Obstacle-Aware Positioning of a Mobile Robotic Platform for 6G Networks
You want to survive the data deluge: Be careful, Computational Intelligence will not serve you as a rescue boat
Addressing the Sim2Real Gap in Robotic 3D Object Classification
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting
DeDisCo at the DISRPT 2025 Shared Task: A System for Discourse Relation Classification
Decoding of visual-related information from the human EEG using an end-to-end deep learning approach
A Graph Analysis of the Linked Data Cloud
New Loss Functions for Fast Maximum Inner Product Search
Development of an Autonomous Reverse Engineering Capability for Controller Area Network Messages to Support Autonomous Control Retrofits
Multimodal Transformer with Multi-View Visual Representation for Image Captioning
Large-Scale Channel Inversion and Transmit Vector Perturbation
Locked Polyomino Tilings
The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Programming Tasks
Natural Environment Benchmarks for Reinforcement Learning
Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine Translation
Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation
Implicit bias of any algorithm: bounding bias via margin
Disassortative mixing accelerates consensus in the naming game
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
ShipwreckFinder: A QGIS Tool for Shipwreck Detection in Multibeam Sonar Data
Tiered Pruning for Efficient Differentialble Inference-Aware Neural Architecture Search
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion
Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learning
Practical Insights on Grasp Strategies for Mobile Manipulation in the Wild
SMARTe-VR: Student Monitoring and Adaptive Response Technology for e-learning in Virtual Reality
Separation of Reliability and Secrecy in Rate-Limited Secret Key-Distillation
Optimal Power Allocation Scheme for Non-Orthogonal Multiple Access with α-Fairness
Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach
Cyber Deception for Computer and Network Security: Survey and Challenges
SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation
Can Large Language Models put 2 and 2 together? Probing for Entailed Arithmetical Relationships
Addressing the eye-fixation problem in gaze tracking for human computer interface using the Vestibulo-ocular Reflex
Fake News Detection on Social Media using Geometric Deep Learning
Enhancing Visual Fashion Recommendations with Users in the Loop
Exploring Straightforward Conversational Red-Teaming
EasyREG: Easy Depth-Based Markerless Registration and Tracking using Augmented Reality Device for Surgical Guidance
Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
Impact of Interventional Policies Including Vaccine on Covid-19 Propagation and Socio-Economic Factors
AI-Powered Prediction of Nanoparticle Pharmacokinetics: A Multi-View Learning Approach
Modeling Alzheimer's Disease: From Memory Loss to Plaque & Tangles Formation
Some Novel Results From Analysis of Move To Front (MTF) List Accessing Algorithm
Towards Low-Latency and Ultra-Reliable Virtual Reality
A hierarchical dynamical low-rank algorithm for the stochastic description of large reaction networks
S4: A New Secure Scheme for Enforcing Privacy in Cloud Data Warehouses
Plant Species Classification Using Transfer Learning by Pretrained Classifier VGG-19
Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs
ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions
Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation
Approximation of Functionals by Neural Network without Curse of Dimensionality
Dense Disparity Estimation in Ego-motion Reduced Search Space
KPTransfer: improved performance and faster convergence from keypoint subset-wise domain transfer in human pose estimation
Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS
Can Social Ontological Knowledge Representations be Measured Using Machine Learning?
A Multi-Stage Duplex Fusion ConvNet for Aerial Scene Classification
i Trust: Trust-Region Optimisation with Ising Machines
On Even Linear Indexed Languages with a Reduction to the Learning of Context-Free Languages
Exploiting Data Representation for Fault Tolerance
BeACONS: A Blockchain-enabled Authentication and Communications Network for Scalable IoV
The Ivanov regularized Gauss-Newton method in Banach space with an a posteriori choice of the regularization radius
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
A Training based Distributed Non-Coherent Space-Time Coding Strategy
Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques
Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment
Neuromorphic High-Frequency 3D Dancing Pose Estimation in Dynamic Environment
Secure Clustered Distributed Storage Against Eavesdroppers
Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm
Differentially Private Transfer Learning with Conditionally Deep Autoencoders
Privacy-Preserving Fully Distributed Gaussian Process Regression
Make me an Offer: Forward and Reverse Auctioning Problems in the Tourism Industry
Nonlinear Filter Based Image Denoising Using AMF Approach
A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?
Divergent Emotional Patterns in Disinformation on Social Media? An Analysis of Tweets and TikToks about the DANA in Valencia
Semi-Substructural Logics with Additives
Pose and Shape Estimation with Discriminatively Learned Parts
Use of Eigenvector Centrality to Detect Graph Isomorphism
Nonapproximablity of the Normalized Information Distance
Semantic segmentation with coarse annotations
VGPT-PINN: Viscosity-enhanced Generative Pre-Trained Physics Informed Neural Networks for parameterized nonlinear conservation laws
Thermodynamics a la Souriau on Kähler Non Compact Symmetric Spaces for Cartan Neural Networks
On generalization bounds for deep networks based on loss surface implicit regularization
Self-Reflective Terrain-Aware Robot Adaptation for Consistent Off-Road Ground Navigation
Line-Circle: A Geometric Filter for Single Camera Edge-Based Object Detection
Do Large Language Models Show Biases in Causal Learning? Insights from Contingency Judgment
Robust 3DGS-based SLAM via Adaptive Kernel Smoothing
A Novel Improved Beluga Whale Optimization Algorithm for Solving Localization Problem in Swarm Robotic Systems
Think Before You Act: Decision Transformers with Internal Working Memory
Revisiting Network Value: Sublinear Knowledge Law
Evolutionary Algorithms Simulating Molecular Evolution: A New Field Proposal
PathFuzzing: Worst Case Analysis by Fuzzing Symbolic-Execution Paths
A Visual Programming Paradigm for Abstract Deep Learning Model Development
Proposed DBMS for OTT platforms in line with new age requirements
Adapted Center and Scale Prediction: More Stable and More Accurate
Improved Training with Curriculum GANs
Can LLMs extract human-like fine-grained evidence for evidence-based fact-checking?
Simple Strategies for Large Zero-Sum Games with Applications to Complexity Theory
Minimum-weight partitioning of a set with associated subsets
Designing generalisation evaluation function through human-machine dialogue
An Empirical Design Justice Approach to Identifying Ethical Considerations in the Intersection of Large Language Models and Social Robotics
menoci: Lightweight Extensible Web Portal enabling FAIR Data Management for Biomedical Research Projects
How Well Can Preference Optimization Generalize Under Noisy Feedback?
Row-Merged Polar Codes: Analysis, Design and Decoder Implementation
Latent space approaches to aggregate network data
Combinatoire algébrique liée aux ordres sur les permutations
Binary Polar Codes are Optimized Codes for Bitwise Multistage Decoding
Robust automated calcification meshing for biomechanical cardiac digital twins
Evolutionary Swarm Robotics: Dynamic Subgoal-Based Path Formation and Task Allocation for Exploration and Navigation in Unknown Environments
Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition
MLIC: A MaxSAT-Based framework for learning interpretable classification rules
Weakly Supervised PLDA Training
The Trusted Edge
The Exploration of Neural Collapse under Imbalanced Data
Analysis of Attack via Grounding and Countermeasures in Discrete-Time Consensus Networks
Quantum Decision Transformers (QDT): Synergistic Entanglement and Interference for Offline Reinforcement Learning
Testing Access-Control Configuration Changes for Web Applications
Left-eigenvectors are certificates of the Orbit Problem
GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer
LoRA-LiteE: A Computationally Efficient Framework for Chatbot Preference-Tuning
S 2 FPR: Crowd Counting via Self-Supervised Coarse to Fine Feature Pyramid Ranking
Three-Way Deep Neural Network for Radio Frequency Map Generation and Source Localization
CAT: A Metric-Driven Framework for Analyzing the Consistency-Accuracy Relation of LLMs under Controlled Input Variations
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding
Web Platform for Visualisation of Kinematic Data captured from a Motor Tele-rehabilitation System
Agent-centric Information Access
Reusing Wireless Power Transfer for Backscatter-assisted Cooperation in WPCN
Designing pricing schemes based on progressive tariff and consumer grouping in migration to a future smart grid
On Achievable Rates for Channels with Mismatched Decoding
MedResearcher-R1: Expert-Level Medical Deep Researcher via A Knowledge-Informed Trajectory Synthesis Framework
Data-Dependent Stability Analysis of Adversarial Training