yusuke1997/dblp-id-title huggingface dataset:
MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors
Geometry and Perception Guided Gaussians for Multiview-consistent 3D Generation from a Single Image
Code Generation for High-Level Synthesis of Multiresolution Applications on FPGAs
A Comprehensive Framework for Analyzing IoT Platforms: A Smart City Industrial Experience
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
DataDream: Few-shot Guided Dataset Generation
Training DNN Models over Heterogeneous Clusters with Optimal Performance
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Knowledge Distillation and Random Data Erasing
JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation
Block Format Error Bounds and Optimal Block Size Selection
Effects of rotation and magnetic field on the revival of a stalled shock in supernova explosions
The Little Engine that Could: Regularization by Denoising (RED)
Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models
Breaking and Fixing Unlinkability of the Key Agreement Protocol for 2nd Gen EMV Payments
An Overview of Fingerprint-Based Authentication: Liveness Detection and Beyond
Combination of Single and Multi-frame Image Super-resolution: An Analytical Perspective
Tactile Model O: Fabrication and testing of a 3d-printed, three-fingered tactile robot hand
Enhancing Authorship Attribution through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Models
Reinforcement Learning with Goal-Distance Gradient
Volumetric Super-Resolution of Multispectral Data
What is Reproducibility in Artificial Intelligence and Machine Learning Research?
A new dataset and model for learning to understand navigational instructions
Design Considerations of a Sub-50 μW Receiver Front-end for Implantable Devices in MedRadio Band
Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models
Local and Global Convergence of a General Inertial Proximal Splitting Scheme
Nonvolatile Multi-level Memory and Boolean Logic Gates Based on a Single Memtranstor
Demystifying Developers' Issues in Distributed Training of Deep Learning Software
SegMix: A Simple Structure-Aware Data Augmentation Method
Metric Learning for User-defined Keyword Spotting
The Anatomy of Requirements
OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification
Understanding CNN Fragility When Learning With Imbalanced Data
Using a Power Law Distribution to describe Big Data
Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention
Problem Complexity Research from Energy Perspective
Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems
Harvested Power Maximization in QoS-Constrained MIMO SWIPT with Generic RF Harvesting Model
Distributed Time-Frequency Division Multiple Access Protocol For Wireless Sensor Networks
Panda: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data
A Comparative Study of Sequence Classification Models for Privacy Policy Coverage Analysis
Multi-Hop Cluster based IEEE 802.11p and LTE Hybrid Architecture for VANET Safety Message Dissemination
Fast Clustering of Short Text Streams Using Efficient Cluster Indexing and Dynamic Similarity Thresholds
Routing in Quantum Networks with End-to-End Knowledge
Optimizing video analytics inference pipelines: a case study
Efficient Characteristic Set Algorithms for Equation Solving in Finite Fields and Applications in Cryptanalysis
CortexNet: a Generic Network Family for Robust Visual Temporal Representations
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications
Neural Machine Translation
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms
Closed-loop Diffusion Control of Complex Physical Systems
XFO: Toward Programming Rich Semantic Models
Socially-Aware Opinion-Based Navigation with Oval Limit Cycles
Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multiscale Rotation Region Convolutional Neural Network
Flight-Ready Precise and Robust Carrier-Phase GNSS Navigation Software for Distributed Space Systems
Scalable Multi-Agent Offline Reinforcement Learning and the Role of Information
Multiscale Non-stationary Causal Structure Learning from Time Series Data
A Low-Cost ISM-Band Multi-Transceiver Cognitive Radio
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization
Attention-based Temporal Weighted Convolutional Neural Network for Action Recognition
A Comparative Study on Hierarchical Navigable Small World Graphs
Multi-label Open-set Audio Classification
Scalable and Cost-Efficient de Novo Template-Based Molecular Generation
Geometric Relational Embeddings
Frequency-Supported Neural Networks for Nonlinear Dynamical System Identification
Simulation and inference methods for non-Markovian stochastic biochemical reaction networks
Density Weighting for Multi-Interest Personalized Recommendation
Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning
Complexity of Problems of Commutative Grammars
Duet at TREC 2019 Deep Learning Track
Analysis of Yelp Reviews
Space-time shape optimization of rotating electric machines
Memristive Memory Enhancement by Device Miniaturization for Neuromorphic Computing
Cooperative Abnormal Node Detection with Adversary Resistance: A Probabilistic Approach
iALS++: Speeding up Matrix Factorization with Subspace Optimization
SILO: Solving Inverse Problems with Latent Operators
Person-in-WiFi: Fine-grained Person Perception using WiFi
Imprimitive permutations groups generated by the round functions of key-alternating block ciphers and truncated differential cryptanalysis
Distribution-Aligned Fine-Tuning for Efficient Neural Retrieval
L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi
Decompose and Leverage Preferences from Expert Models for Improving Trustworthiness of MLLMs
Object-aware Adaptive-Positivity Learning for Audio-Visual Question Answering
Ranked Set Sampling-Based Multilayer Perceptron: Improving Generalization via Variance-Based Bounds
Quasi-optimal hierarchically semi-separable matrix approximation
On the (Im)Possibility of Estimating Various Notions of Differential Privacy
The Role of Communication and Reference Songs in the Mixing Process: Insights from Professional Mix Engineers
Aligning Vision to Language: Text-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning
Infrastructuring Pop-Up Cities with "Social Layer": Designing Serendipitous Co-Livings for Temporary Intentional Communities
Wind Power Projection using Weather Forecasts by Novel Deep Neural Networks
Splitting methods for Fourier spectral discretizations of the strongly magnetized Vlasov-Poisson and the Vlasov-Maxwell system
Continuous Weight Balancing
Memory-Guided Point Cloud Completion for Dental Reconstruction
Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence
Estimation of urinary stone composition by automated processing of CT images
Qlib: An AI-oriented Quantitative Investment Platform
EvoSplit: An evolutionary approach to split a multi-label data set into disjoint subsets
Hazard recognition in an immersive virtual environment: Framework for the simultaneous analysis of visual search and EEG patterns
Constructing MRD codes by switching
Non-structured DNN Weight Pruning Considered Harmful
Gender disparities in the dissemination and acquisition of scientific knowledge
The degree of ill-posedness for some composition governed by the Cesaro operator
Strong Converse Theorems for Degraded Broadcast Channels with Feedback
Assessing the Robustness of Spectral Clustering for Deep Speaker Diarization
Jointly Adversarial Network to Wavelength Compensation and Dehazing of Underwater Images
Data-Driven Shadowgraph Simulation of a 3D Object
Robustness of Humans and Machines on Object Recognition with Extreme Image Transformations
A Robust Likelihood Model for Novelty Detection
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
Models of random graph hierarchies
HiveLink, an IoT based Smart Bee Hive Monitoring System
Designing Kernel Scheme for Classifiers Fusion
Collision Cross-entropy and EM Algorithm for Self-labeled Classification
Hybrid data clustering approach using K-Means and Flower Pollination Algorithm
Efficient Private Query Release via Polynomial Approximation
Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
On the intersection distribution of degree three polynomials and related topics
Forecasting the Evolution of Hydrogen Vehicle Fleet in the UK usingGrowth and Lotka-Volterra Models
Plug it and Play on Logs: A Configuration-Free Statistic-Based Log Parser
A Dynamic YOLO-Based Sequence-Matching Model for Efficient Coverless Image Steganography
A Refined Denominator Bounding Algorithm for Multivariate Linear Difference Equations
Trajectory-Based Urban Air Mobility (UAM) Operations Simulator (TUS)
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
Large Deviation Analysis of Function Sensitivity in Random Deep Neural Networks
FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression
Instance-Level Microtubule Segmentation Using Recurrent Attention
On the Parameterized Complexity of the s-Club Cluster Edge Deletion Problem
Visualizing and Describing Fine-grained Categories as Textures
The Complexity of Online Bribery in Sequential Elections (Extended Abstract)
InverseScope: Scalable Activation Inversion for Interpreting Large Language Models
Revealing the Challenges of Sim-to-Real Transfer in Model-Based Reinforcement Learning via Latent Space Modeling
Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation
Toward a Geometrical Understanding of Self-supervised Contrastive Learning
Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas
Challenges of engineering safe and secure highly automated vehicles
Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing
Meent: Differentiable Electromagnetic Simulator for Machine Learning
Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding
Symmetries in Reversible Programming: From Symmetric Rig Groupoids to Reversible Programming Languages
Quantum speedups need structure
Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease
Quantifying Feature Importance for Online Content Moderation
Enhancing IoT Intrusion Detection Systems through Adversarial Training
Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference
A multi-stage machine learning model on diagnosis of esophageal manometry
Efficient simulation of coupled gas and power networks under uncertain demands
Architecting Optically-Controlled Phase Change Memory
Seeing BDD100K in dark: Single-Stage Night-time Object Detection via Continual Fourier Contrastive Learning
Towards Misinformation Resilience in Pakistan: A Participatory Study with Low-Socioeconomic Status Adults
On PAC-Bayesian Bounds for Random Forests
Ensemble Consider Kalman Filtering
NTT-Based Polynomial Modular Multiplication for Homomorphic Encryption: A Tutorial
SaMOSA: Sandbox for Malware Orchestration and Side-Channel Analysis
Convex obstacle numbers of outerplanar graphs and bipartite permutation graphs
Simple dynamic word embeddings for mapping perceptions in the public sphere
Combining Cognitive and Generative AI for Self-explanation in Interactive AI Agents
Optimizing Epistemic Model Checking using Conditional Independence
Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms
Variational Bayes for Federated Continual Learning
EEG-ConvTransformer for Single-Trial EEG based Visual Stimuli Classification
Measurement of LLM's Philosophies of Human Nature
LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language Models
Adaptive Slot Allocation And Bandwidth Sharing For Prioritized Handoff Calls In Mobile Netwoks
Mini Minds: Exploring Bebeshka and Zlata Baby Models
V1: A Visual Query Language for Property Graphs
Factor-MCLS: Multi-agent learning system with reward factor matrix and multi-critic framework for dynamic portfolio optimization
The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generation
Nighttime Dehaze-Enhancement
Adaptive Pseudo-Siamese Policy Network for Temporal Knowledge Prediction
When Waiting is not an Option : Learning Options with a Deliberation Cost
Blind Underwater Image Restoration using Co-Operational Regressor Networks
RadOnc-GPT: A Large Language Model for Radiation Oncology
SpectralCA: Bi-Directional Cross-Attention for Next-Generation UAV Hyperspectral Vision
Closure Under Minors of Undirected Entanglement
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification
StaBL - State Based Language for Specification of Web Applications
An evidential time-to-event prediction model based on Gaussian random fuzzy numbers
Fast Graph Learning with Unique Optimal Solutions
Fragility, Robustness and Antifragility in Deep Learning
Parallel Performance of Algebraic Multigrid Domain Decomposition (AMG-DD)
Extendability of simplicial maps is undecidable
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
Emergence and algorithmic information dynamics of systems and observers
ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet
Thunder-Tok: Minimizing Tokens per Word in Tokenizing Korean Texts for Generative Language Models
Efficient Reinforcement Learning via Initial Pure Exploration
Learning Division with Neural Arithmetic Logic Modules
Hamiltonicity is Hard in Thin or Polygonal Grid Graphs, but Easy in Thin Polygonal Grid Graphs
A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers
A Bounded-error Quantum Polynomial Time Algorithm for Two Graph Bisection Problems
Ergodic Capacity of IRS-Assisted MIMO Systems with Correlation and Practical Phase-Shift Modeling
Four Random Permutations Conjugated by an Adversary Generate $S_n$ with High Probability
Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight
Conception individuelle et collective. Approche de l'ergonomie cognitive [Individual and Collective Design. The Cognitive-Ergonomics Approach]
Precise Robot Localization in Architectural 3D Plans
An audio CAPTCHA to distinguish humans from computers
Number Adaptive Formation Flight Planning via Affine Deformable Guidance in Narrow Environments
Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning
Absolute Minima of Potentials of Certain Regular Spherical Configurations
MoLEx: Mixture of Layer Experts for Finetuning with Sparse Upcycling
Generalizability of experimental studies
Statistical Analysis of Self-Organizing Networks with Biased Cell Association and Interference Avoidance
Sparsity Prior Regularized Q-learning for Sparse Action Tasks
An inverse problem for the one-phase Stefan problem with varying melting temperature
Serverless seismic imaging in the cloud
Pontogammarus Maeoticus Swarm Optimization: A Metaheuristic Optimization Algorithm
Practicing Safe Browsing: Understanding How and Why University Students Use Virtual Private Networks
Nation-wide Mood: Large-scale Estimation of People's Mood from Web Search Query and Mobile Sensor Data
Stabilized exponential-SAV schemes preserving energy dissipation law and maximum bound principle for the Allen-Cahn type equations
Over-the-Air Federated Learning in Satellite systems
Universal Shape Replication Via Self-Assembly With Signal-Passing Tiles
A Novel Fractional Order Fuzzy PID Controller and Its Optimal Time Domain Tuning Based on Integral Performance Indices
Revisiting DeepFool: generalization and improvement
Two-closure of supersolvable permutation group in polynomial time
Rethinking Pulmonary Embolism Segmentation: A Study of Current Approaches and Challenges with an Open Weight Model
Self-Healing Ground-and-Air Connectivity Chains
One-shot Federated Learning without Server-side Training
Approximating Boolean Functions with Disjunctive Normal Form
Parsimonious Network based on Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis
Product Matrix Minimum Storage Regenerating Codes with Flexible Number of Helpers
Unveiling the I2P web structure: a connectivity analysis
CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography
PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care
Boosting Segmentation Performance across datasets using histogram specification with application to pelvic bone segmentation
Study of a bias in the offline evaluation of a recommendation algorithm
Joint Learning of Local and Global Features for Aspect-based Sentiment Classification
Encoding monotonic multi-set preferences using CI-nets: preliminary report
The E-net model for the Risk Analysis and Assessment System for the Information Security of Communication and Information Systems ("Defining" Subsystem)
Homomorphically encrypted gradient descent algorithms for quadratic programming
Optimal Petrov-Galerkin spectral approximation method for the fractional diffusion, advection, reaction equation on a bounded interval
Flatfish Disease Detection Based on Part Segmentation Approach and Disease Image Generation
Recovering Non-negative and Combined Sparse Representations
Segmentation over Complexity: Evaluating Ensemble and Hybrid Approaches for Anomaly Detection in Industrial Time Series
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation
Boundary-preserving Lamperti-splitting scheme for some Stochastic Differential Equations
On anthropomorphic decision making in a model observer
InsigHTable: Insight-driven Hierarchical Table Visualization with Reinforcement Learning
Domain Generalization via Contrastive Causal Learning
Pi-Transformer: A Physics-informed Attention Mechanism for Time Series Anomaly Detection
Small model property reflects in games and automata
Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations
Feed-forward Disturbance Compensation for Station Keeping in Wave-dominated Environments
Power Control in Cell-Free Massive MIMO Networks for UAVs URLLC under the Finite Blocklength Regime
Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs
Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection
An Automatic Algorithm for Object Recognition and Detection Based on ASIFT Keypoints
Mapping the Neuro-Symbolic AI Landscape by Architectures: A Handbook on Augmenting Deep Learning Through Symbolic Reasoning
PopBERT. Detecting populism and its host ideologies in the German Bundestag
Bayesian policy selection using active inference
An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task Learning
FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design
Spatio-Temporal Electromagnetic Field Shapes and their Logical Processing
Quantifiers closed under partial polymorphisms
About Digital Twins, agents, and multiagent systems: a cross-fertilisation journey
Advancing Visual Specification of Code Requirements for Graphs
Interpolatory-based data-driven pulsed fluidic actuator control design and experimental validation
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
Adaptive Object Detection for Indoor Navigation Assistance: A Performance Evaluation of Real-Time Algorithms
PokéAI: A Goal-Generating, Battle-Optimizing Multi-agent System for Pokemon Red
Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation
Overlapping modularity at the critical point of k-clique percolation
Mixed Reality Heritage Performance As a Decolonising Tool for Heritage Sites
Optimizing Long-Form Clinical Text Generation with Claim-Based Rewards
Unsupervised Change Detection for Space Habitats Using 3D Point Clouds
Thinking beyond Bias: Analyzing Multifaceted Impacts and Implications of AI on Gendered Labour
Carrier Frequency Offset Estimation Approach for Multicarrier Transmission on Hexagonal Time-Frequency Lattice
Phonology-Augmented Statistical Framework for Machine Transliteration using Limited Linguistic Resources
KVSwap: Disk-aware KV Cache Offloading for Long-Context On-device Inference
Comparing E-bike and Conventional Bicycle Use Patterns in a Public Bike Share System: A Case Study of Richmond, VA
Approximating acyclicity parameters of sparse hypergraphs
Control of Separable Subsystems with Application to Prostheses
BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
Secret Protection in Labeled Petri Nets
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression
Deep Koopman-operator based model predictive control for closed-loop electrical neurostimulation in epilepsy
Block Maps between Primitive Uniform and Pisot Substitutions
Finding a Posterior Domain Probability Distribution by Specifying Nonspecific Evidence
The game of Cops and Robbers on directed graphs with forbidden subgraphs
Finite sections: stability, spectral pollution and asymptotics of condition numbers and pseudospectra
Doubly Optimal Secure Multicasting: Hierarchical Hybrid Communication Network : Disaster Relief
Storage Solutions for Big Data Systems: A Qualitative Study and Comparison
Minimization Problems Based on a Parametric Family of Relative Entropies I: Forward Projection
AutoFCL: Automatically Tuning Fully Connected Layers for Transfer Learning
Sequential Density Estimation via NCWFAs Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata
Local Map-Based DQN Navigation and a Transferability Metric Using Scene Similarity
A Distributed Nash Equilibrium Seeking in Networked Graphical Games
Atomistic structure search using local surrogate mode
Iterations for the Unitary Sign Decomposition and the Unitary Eigendecomposition
Enhancing Compiler Optimization Efficiency through Grammatical Decompositions of Control-Flow Graphs
The Space Just Above One Clean Qubit
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning
Exploring Straighter Trajectories of Flow Matching with Diffusion Guidance
Mixed-Integer Projections for Automated Data Correction of EMRs Improve Predictions of Sepsis among Hospitalized Patients
Fast Equivariant Imaging: Acceleration for Unsupervised Learning via Augmented Lagrangian and Auxiliary PnP Denoisers
Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia
Load balancing in cloud data centers with optimized virtual machines placement
Three Cooperative Robotic Fabrication Methods for the Scaffold-Free Construction of a Masonry Arch
Progress, Fairness and Justness in Process Algebra
Baloo: A Large-Scale Hybrid Soft Robotic Torso for Whole-Arm Manipulation
Augmented Efficiency: Reducing Memory Footprint and Accelerating Inference for 3D Semantic Segmentation through Hybrid Vision
Accelerated growth of networks
Automated HEMT Model Construction from Datasheets via Multi-Modal Intelligence and Prior-Knowledge-Free Optimization
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations