yusuke1997/dblp-id-title huggingface dataset:
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine
Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples
Spiders can be recognized by counting their legs
Optimized Cryo-CMOS Technology with VTH1.2mA/um for High-Peformance Computing
Fusion of Machine Learning and Blockchain-based Privacy-Preserving Approach for Health Care Data in the Internet of Things
Horizontal Pyramid Matching for Person Re-identification
E-Governance: Past, Present and Future in India
Co-Regularized Deep Representations for Video Summarization
Attention networks for image-to-text
A GA based Window Selection Methodology to Enhance Window based Multi wavelet transformation and thresholding aided CT image denoising technique
FastForest: Increasing Random Forest Processing Speed While Maintaining Accuracy
Existence of balanced functions that are not derivative of bent functions
Accelerating Clinical NLP at Scale with a Hybrid Framework with Reduced GPU Demands: A Case Study in Dementia Identification
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning
Caseformer: Pre-training for Legal Case Retrieval
Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks
Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing
Semi-Supervised Online Learning on the Edge by Transforming Knowledge from Teacher Models
Language Models as Emotional Classifiers for Textual Conversations
Security-First AI: Foundations for Robust and Trustworthy Systems
Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI
Involution-Infused DenseNet with Two-Step Compression for Resource-Efficient Plant Disease Classification
GRASP for the Coalition Structure Formation Problem
Fair Resource Allocation for Demands with Sharp Lower Tail Inequalities
Memristor Hardware-Friendly Reinforcement Learning
Bandit-Driven Batch Selection for Robust Learning under Label Noise
A Novel Network Coded Parallel Transmission Framework for High-Speed Ethernet
Semantic constraints to represent common sense required in household actions for multi-modal Learning-from-observation robot
Waymo Public Road Safety Performance Data
NaviTrace: Evaluating Embodied Navigation of Vision-Language Models
Time Series Analysis of Blockchain-Based Cryptocurrency Price Changes
Practical Attacks on a RFID Authentication Protocol Conforming to EPC C-1 G-2 Standard
Alchemist: Unlocking Efficiency in Text-to-Image Model Training via Meta-Gradient Data Selection
Policy Gradient Methods for Designing Dynamic Output Feedback Controllers
Time-EAPCR-T: A Universal Deep Learning Approach for Anomaly Detection in Industrial Equipment
FoPru: Focal Pruning for Efficient Large Vision-Language Models
Optimal Convergence Analysis of DDPM for General Distributions
Object Recognition Datasets and Challenges: A Review
Global Weighted Average Pooling Bridges Pixel-level Localization and Image-level Classification
WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis
(Sub)linear kernels for edge modification problems towards structured graph classes
Probabilistic methods of bypassing the maze using stones and a random number sensor
Exact Distributed Training: Random Forest with Billions of Examples
Optimal Number of Cluster Heads in Wireless Sensors Networks Based on LEACH
Assistive Completion of Agrammatic Aphasic Sentences: A Transfer Learning Approach using Neurolinguistics-based Synthetic Dataset
A Subpixel Registration Algorithm for Low PSNR Images
Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation
Nonlinear Eigenproblems in Data Analysis - Balanced Graph Cuts and the RatioDCA-Prox
Adversarial Attacks and Defenses for Speech Recognition Systems
Uncertainty-based Fairness Measures
Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog
Jointly Tracking and Separating Speech Sources Using Multiple Features and the generalized labeled multi-Bernoulli Framework
Removing Local Extrema from Imprecise Terrains
Classification of Superstatistical Features in High Dimensions
On Achieving Fairness and Stability in Many-to-One Matchings
Clustering and Power Allocation for UAV-assisted NOMA-VLC Systems: A Swarm Intelligence Approach
Quantum Computing Assisted Medium Access Control for Multiple Client Station Networks
Beyond sets with atoms: definability in first order logic
Modelling Human Values for AI Reasoning
AuthFormer: Adaptive Multimodal biometric authentication transformer for middle-aged and elderly people
Learning Human Motion Models for Long-term Predictions
Together We Make Sense - Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings
Self-evolving Autoencoder Embedded Q-Network
BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators
DeepSound-V1: Start to Think Step-by-Step in the Audio Generation from Videos
Positive Focusing is Directly Useful
Finetuning Foundation Models for Joint Analysis Optimization
Fast Approximation Algorithms for Cut-based Problems in Undirected Graphs
A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography
IoT Supply Chain Security: Overview, Challenges, and the Road Ahead
Implementation and Application of an Intelligibility Protocol for Interaction with an LLM
Constrained Multi-user Multi-server Max-Min Fair Queuing
Uncovering migration systems through spatio-temporal tensor co-clustering
Least-squares fitting of Gaussian spots on graphics processing units
An extremal problem in proper (r, p)-coloring of hypergraphs
Solution of Ulam's Conjecture for Connected Graphs
Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies
Development of Semantics-Based Distributed Middleware for Heterogeneous Data Integration and its Application for Drought
Balancing Sparse RNNs with Hyperparameterization Benefiting Meta-Learning
Learning Data Teaching Strategies Via Knowledge Tracing
Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models
Dual Long Short-Term Memory Networks for Sub-Character Representation Learning
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks
Translating the Grid: How a Translational Approach Shaped the Development of Grid Computing
General theory of interpolation error estimates on anisotropic meshes, part II
Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems
OmniDiff: A Comprehensive Benchmark for Fine-grained Image Difference Captioning
MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning
HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicits
Evolution of genetic organization in digital organisms
Learning Nonlinear Loop Invariants with Gated Continuous Logic Networks
MGA: Memory-Driven GUI Agent for Observation-Centric Interaction
Constructions of Grassmannian Simplices
Streaming Codes for Channels with Burst and Isolated Erasures
AI Software Engineer: Programming with Trust
American Sign Language Recognition Using RF Sensing
Agile Ways of Working: A Team Maturity Perspective
Meta-Active Learning for Node Response Prediction in Graphs
Building a Foundation for Data-Driven, Interpretable, and Robust Policy Design using the AI Economist
Flow-GRPO: Training Flow Matching Models via Online RL
Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification
DEMO: Simulation of Realistic Mobility Model and Implementation of 802.11p (DSRC) for Vehicular Networks (VANET)
LLMs Struggle to Perform Counterfactual Reasoning with Parametric Knowledge
Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings
A Sequential MPC Approach to Reactive Planning for Bipedal Robots
Efficient Trigger Word Insertion
Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of 'Bias', and Academia-Industry Gap
Fairness Constraints: A Mechanism for Fair Classification
Ultra-Low Energy and High Speed LIF Neuron using Silicon Bipolar Impact Ionization MOSFET for Spiking Neural Networks
Multilevel Combinatorial Optimization Across Quantum Architectures
Approximate Matrix Inversion Based Low Complexity Sphere Decoding in MIMO Systems
Capacity-achieving sparse superposition codes with spatially coupled VAMP decoder
Provably faster randomized and quantum algorithms for k-means clustering via uniform sampling
Optimal Transport-Guided Conditional Score-Based Diffusion Models
Gaussian Multiple Access Channels with One-Bit Quantizer at the Receiver
Rethinking the Generational Gap in Online News Use: An Infrastructural Perspective
Media of Langue
The Hearpiece database of individual transfer functions of an openly available in-the-ear earpiece for hearing device research
A situated agent-based model to reveal irrigators' options behind their actions under institutional arrangements in Southern France
Streaming Multimedia Information Using the Features of the DVB-S Card
PDMLP: Patch-based Decomposed MLP for Long-Term Time Series Forecasting
Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis
Edge-Based Video Analytics: A Survey
Conversation Regression Testing: A Design Technique for Prototyping Generalizable Prompt Strategies for Pre-trained Language Models
Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression
Effective Solid State LiDAR Odometry Using Continuous-time Filter Registration
Modifying a Graph's Degree Sequence and the Testablity of Degree Sequence Properties
Design of an Axial Flux Permanent Magnet Eddy Current Brake for Application on Light Weight Motor Vehicles
Computation of multi-degree Tchebycheffian B-splines
Temporal Autoencoder with U-Net Style Skip-Connections for Frame Prediction
Language Guided Fashion Image Manipulation with Feature-wise Transformations
Model-based electron density profile estimation and control, applied to ITER
Finding Connected Dense $k$-Subgraphs
Seismic Acoustic Impedance Inversion Framework Based on Conditional Latent Generative Diffusion Model
From the Notebooks to the Investigations and Beyond
Lower bounds for trace reconstruction
Harmful algal bloom forecasting. A comparison between stream and batch learning
KOM: A Multi-Agent Artificial Intelligence System for Precision Management of Knee Osteoarthritis (KOA)
Reformulation Techniques for Automated Planning: A Systematic Review
From Digital Television to Internet?
InnerSelf: Designing Self-Deepfaked Voice for Emotional Well-being
Artificial Intelligence to Enhance Mission Science Output for In-situ Observations: Dealing with the Sparse Data Challenge
Distributed Frequency and Voltage Control for AC Microgrids based on Primal-Dual Gradient Dynamics
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection
UniDex: Rethinking Search Inverted Indexing with Unified Semantic Modeling
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities
OKRidge: Scalable Optimal k-Sparse Ridge Regression for Learning Dynamical Systems
Abstract categorial grammars with island constraints and effective decidability
A Pulse-Shape Binary Multiplex Modulation
CoTDeceptor:Adversarial Code Obfuscation Against CoT-Enhanced LLM Code Agents
ARIG: Autoregressive Interactive Head Generation for Real-time Conversations
POD/DEIM Nonlinear model order reduction of an ADI implicit shallow water equations model
Automated Knowledge Component Generation and Knowledge Tracing for Coding Problems
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies
(Almost) Free Modality Stitching of Foundation Models
Universal Anomaly Detection: Algorithms and Applications
Convolutional Neural Networks in Orthodontics: a review
Model-based Optimization of Compressive Antennas for High Sensing-Capacity Applications
Learning Fair Representations with Kolmogorov-Arnold Networks
Efficient Computation and Covariance Analysis of Geometry-Based Stochastic Channel Models
Hard hat wearing detection based on head keypoint localization
Dynamic Multimedia Content Retrieval System in Distributed Environment
Automatic Target Recovery for Hindi-English Code Mixed Puns
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator
Automatic Assessment of Divergent Thinking in Chinese Language with TransDis: A Transformer-Based Language Model Approach
PathRTM: Real-time prediction of KI-67 and tumor-infiltrated lymphocytes
Client-Centric Federated Adaptive Optimization
mulEEG: A Multi-View Representation Learning on EEG Signals
Improving Cross-Patient Generalization in Parkinson's Disease Detection through Chunk-Based Analysis of Hand-Drawn Patterns
Generative Ensembles for Robust Anomaly Detection
On the training of sparse and dense deep neural networks: less parameters, same performance
How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting
High Resolution Seismic Waveform Generation using Denoising Diffusion
Predict and Optimize: Through the Lens of Learning to Rank
UBR 2 S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation
SvANet: A Scale-variant Attention-based Network for Small Medical Object Segmentation
Visualization of Retrieved Documents using a Presentation Server
Understanding Chain-of-Thought Effectiveness in Code Generation: An Empirical and Information-Theoretic Analysis
Social Influence in Social Advertising: Evidence from Field Experiments
SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection
PAC: Pronunciation-Aware Contextualized Large Language Model-based Automatic Speech Recognition
Self-supervised Learning for Clustering of Wireless Spectrum Activity
NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes
Gradient-based Quadratic Multiform Separation
Tuning-Free Structured Sparse PCA via Deep Unfolding Networks
Learning from graphs with structural variation
ViscNet: Vision-Based In-line Viscometry for Fluid Mixing Process
ACAI: Extending Arm Confidential Computing Architecture Protection from CPUs to Accelerators
Efficient Implementation of a Recognition System Using the Cortex Ventral Stream Model
Human behavior in Prisoner's Dilemma experiments suppresses network reciprocity
Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks
An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data
POEM: Proof of Entropy Minima
Segmentation, Indexing, and Visualization of Extended Instructional Videos
Channels, Learning, Queueing and Remote Estimation Systems With A Utilization-Dependent Component
TATTOO: Training-free AesTheTic-aware Outfit recOmmendation
CEMENT: Incomplete Multi-View Weak-Label Learning with Long-Tailed Labels
A 3D Positioning-based Channel Estimation Method for RIS-aided mmWave Communications
Accelerated decomposition of bistochastic kernel matrices by low rank approximation
The Architecture of Trust: A Framework for AI-Augmented Real Estate Valuation in the Era of Structured Data
Non-reciprocal BD-RIS in Full-duplex Communications: A Perspective on Sum-rate Maximization
Mastering Rate based Curriculum Learning
Parametric local stability condition of a multi-converter system
Lane Change Intention Prediction of two distinct Populations using a Transformer
Estimate Epidemiological Parameters given Partial Observations based on Algebraically Observable PINNs
Quickest Hub Discovery in Correlation Graphs
ML Detection for MIMO Systems under Channel Estimation Errors
Geometry-Based Optimization of One-Way Quantum Computation Measurement Patterns
Locomotion Generation for a Rat Robot based on Environmental Changes via Reinforcement Learning
Differentiable adaptive short-time Fourier transform with respect to the window length
Retail-786k: a Large-Scale Dataset for Visual Entity Matching
Federated Ensemble Model-based Reinforcement Learning
On a semi-discrete model of Maxwell's equations in three and two dimensions
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation
Online and stochastic variants of welfare maximization
Fast kNN mode seeking clustering applied to active learning
Models of Co-occurrence
A Bilayer Segmentation-Recombination Network for Accurate Segmentation of Overlapping C. elegans
An improved method for constructing linear codes with small hulls
Design of Arabic Sign Language Recognition Model
Performance of Cell-Free Massive MIMO with Rician Fading and Phase Shifts
Towards Alzheimer's Disease Classification through Transfer Learning
Scale Optimization for Full-Image-CNN Vehicle Detection
Symmetric Two-User Gaussian Interference Channel with Common Messages
Seamless lightning nowcasting with recurrent-convolutional deep learning
Kunlun Anomaly Troubleshooter: Enabling Kernel-Level Anomaly Detection and Causal Reasoning for Large Model Distributed Inference
Multirole Logic and Multiparty Channels
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Developing and delivering a remote experiment based on the experiential learning framework during COVID-19 pandemic
Adversarial Examples and the Deeper Riddle of Induction: The Need for a Theory of Artifacts in Deep Learning
Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling
Real-Time LiDAR Super-Resolution via Frequency-Aware Multi-Scale Fusion
Cryo-RL: automating prostate cancer cryoablation planning with reinforcement learning
Data-driven cortical clustering to provide a family of plausible solutions to M/EEG inverse problem
Instability in Diffusion ODEs: An Explanation for Inaccurate Image Reconstruction
Indirect-adaptive Model Predictive Control for Linear Systems with Polytopic Uncertainty
Applied Erasure Coding in Networks and Distributed Storage
Analysis of IRS-Assisted Downlink Wireless Networks over Generalized Fading
Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification
Inverse Linear-Quadratic Gaussian Differential Games
Curvature is Key: Sub-Sampled Loss Surfaces and the Implications for Large Batch Training
Translating Scala Programs to Isabelle/HOL
Control and Trajectory Optimization for Soft Aerial Manipulation
Bio-inspired Obstacle Avoidance for Flying Robots with Active Sensing
Supporting Finite Element Analysis with a Relational Database Backend, Part II: Database Design and Access
On f-Symmetries of the Independence Polynomial
Generalizable Error Modeling for Search Relevance Data Annotation Tasks
Weakly supervised training of pixel resolution segmentation models on whole slide images
African Trypanosomiasis Detection using Dempster-Shafer Theory
Expression Acceleration: Seamless Parallelization of Typed High-Level Languages
Structured Backward Errors for Special Classes of Saddle Point Problems with Applications
How Platform-User Power Relations Shape Algorithmic Accountability: A Case Study of Instant Loan Platforms and Financially Stressed Users in India
On the Complexity of the Misère Version of Three Games Played on Graphs
Mapping the Join Calculus to Heterogeneous Hardware
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering
Prompt-Conditioned FiLM and Multi-Scale Fusion on MedSigLIP for Low-Dose CT Quality Assessment
Throughput Maximization in Multi-Channel Cognitive Radio Systems with Delay Constraints
Enhancing Eye Disease Diagnosis with Deep Learning and Synthetic Data Augmentation
ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language
WristWorld: Generating Wrist-Views via 4D World Models for Robotic Manipulation
Infinite Lewis Weights in Spectral Graph Theory
Distributed Long-Term Base Station Clustering in Cellular Networks using Coalition Formation
Extended vehicle energy dataset (eVED): an enhanced large-scale dataset for deep learning on vehicle trip energy consumption
HyperbolicLR: Epoch insensitive learning rate scheduler
Modeling and Managing Temporal Obligations in GUCON Using SPARQL-star and RDF-star
Shallow decision-making analysis in General Video Game Playing
Invariant Feature Learning for Sensor-based Human Activity Recognition
ChemLLM: A Chemical Large Language Model
On the Separability of Parallel Gaussian Interference Channels
Applying Multi-qubit Correction to Frustrated Cluster Loops on an Adiabatic Quantum Computer
Development of a CAV-based Intersection Control System and Corridor Level Impact Assessment
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata
A general machine learning model of aluminosilicate melt viscosity and its application to the surface properties of dry lava planets
Recent Advances in Transient Imaging: A Computer Graphics and Vision Perspective
Tracking of enriched dialog states for flexible conversational information access
Generative AI in Multimodal User Interfaces: Trends, Challenges, and Cross-Platform Adaptability
A Computationally Efficient, Robust Methodology for Evaluating Chemical Timescales with Detailed Chemical Kinetics
Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting
Generation and Interpretation of Temporal Decision Rules
A fast method for evaluating Volume potentials in the Galerkin boundary element method
D-DNS: Towards Re-Decentralizing the DNS
Refinements in Motion and Appearance for Online Multi-Object Tracking
WiPal: Efficient Offline Merging of IEEE 802.11 Traces
LLM-Craft: Robotic Crafting of Elasto-Plastic Objects with Large Language Models
RANDOM MASK: Towards Robust Convolutional Neural Networks
The algebra of entanglement and the geometry of composition
Acoustically-Driven Phoneme Removal That Preserves Vocal Affect Cues
Fane at SemEval-2025 Task 10: Zero-Shot Entity Framing with Large Language Models
Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades
Real-time Eye Gaze Direction Classification Using Convolutional Neural Network
Self-Balancing, Memory Efficient, Dynamic Metric Space Data Maintenance, for Rapid Multi-Kernel Estimation
A Thermodynamically Consistent Model and Its Conservative Numerical Approximation for Moving Contact Lines with Soluble Surfactants
H-Zero: Cross-Humanoid Locomotion Pretraining Enables Few-shot Novel Embodiment Transfer
Travel Time, Distance and Costs Optimization for Paratransit Operations using Graph Convolutional Neural Network
Target Detection within Nonhomogeneous Clutter via Total Bregman Divergence-Based Matrix Information Geometry Detectors
Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication
Experimental Evaluation of Methods for Estimating Frequency Response Functions of a 6-axes Robot
RPBG: Towards Robust Neural Point-based Graphics in the Wild
Rethinking Comprehensive Benchmark for Chart Understanding: A Perspective from Scientific Literature
QGAN-based data augmentation for hybrid quantum-classical neural networks
Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary Code
PIQI: Perceptual Image Quality Index based on Ensemble of Gaussian Process Regression
SpikeCodec: An End-to-end Learned Compression Framework for Spiking Camera
Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning
Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation
Music Generation Using an LSTM
First U-Net Layers Contain More Domain Specific Information Than The Last Ones
Advantages and Limitations of using Successor Features for Transfer in Reinforcement Learning