yusuke1997/dblp-id-title huggingface dataset:
Facial Emotion Recognition: A multi-task approach using deep learning
Hierarchical Deep Reinforcement Learning for Age-of-Information Minimization in IRS-aided and Wireless-powered Wireless Networks
Financial Instruction Following Evaluation (FIFE)
Fair contrastive pre-training for geographic images
Fitness Dependent Optimizer with Neural Networks for COVID-19 patients
52B to 1T: Lessons Learned via Tele-FLM Series
Improving Position Encoding of Transformers for Multivariate Time Series Classification
A dwt, dct and svd based watermarking technique to protect the image piracy
A Low Density Lattice Decoder via Non-Parametric Belief Propagation
Physics informed Shadowgraph Density Field Reconstruction
Fast Optimization of Wildfire Suppression Policies with SMAC
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks
TaBooN - Boolean Network Synthesis Based on Tabu Search
CybergeoNetworks, an interactive application for the geographical and semantic analysis of scientific publications
Local multiresolution order in community detection
Root Cause Analysis for Microservice Systems via Cascaded Conditional Learning with Hypergraphs
Exploring Gender Disparities in Bumble's Match Recommendations
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Offline Clustering Approach to Self-supervised Learning for Class-imbalanced Image Data
Distance Evaluation to the Set of Defective Matrices
USCSA: Evolution-Aware Security Analysis for Proxy-Based Upgradeable Smart Contracts
Affine automata verifiers
Guided Curriculum Learning for Walking Over Complex Terrain
Atmospheric Turbulence Removal with Complex-Valued Convolutional Neural Network
Are there stars in Bluesky after the return of Donald Trump to the White House?
ACERAC: Efficient reinforcement learning in fine time discretization
Stability analysis of the Eulerian-Lagrangian finite volume methods for nonlinear hyperbolic equations in one space dimension
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web
Arbitrary Precision Printed Ternary Neural Networks with Holistic Evolutionary Approximation
How to assign volunteers to tasks compatibly ? A graph theoretic and parameterized approach
Developments in ROOT I/O and trees
A Digital Watermarking Approach Based on DCT Domain Combining QR Code and Chaotic Theory
Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms
Investigating the Impact of Choice on Deep Reinforcement Learning for Space Controls
Quasi-Synthetic Riemannian Data Generation for Writer-Independent Offline Signature Verification
Improved exploration of temporal graphs
Semantic4Safety: Causal Insights from Zero-shot Street View Imagery Segmentation for Urban Road Safety
Semi-Supervised Learning via Cross-Prediction-Powered Inference for Wireless Systems
Learning in Distributed Contextual Linear Bandits Without Sharing the Context
Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines
Visualizing a Large Spatiotemporal Collection of Historic Photography with a Generous Interface
Monitorability Bounds via Expander, Sparsifier and Random Walks. The Interplay Between On-Demand Monitoring and Anonymity
A Method for Numerical Solution of Third-Kind Volterra Integral Equations Using Krall-Laguerre Polynomials
Firm-Dispatchable Power and its Requirement in a Power System based on Variable Generation
Exponential concentration and untrainability in quantum kernel methods
Testing the Machine Consciousness Hypothesis
Hamiltonian Streamline Guided Feature Extraction with Applications to Face Detection
Entity Based Peer-to-Peer in a Data Grid Environment
Layer Potential Methods for Doubly-Periodic Harmonic Functions
MAA: Meticulous Adversarial Attack against Vision-Language Pre-trained Models
Location and Spectral Estimation of Weak Wave Packets on Noise Background
Feature selection in weakly coherent matrices
Compartmental analysis of dynamic nuclear medicine data: regularization procedure and application to physiology
Language to Specify Syntax-Guided Synthesis Problems
AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline
PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refining
Inspire or Predict? Exploring New Paradigms in Assisting Classical Planners with Large Language Models
SkyQuery: An Aerial Drone Video Sensing Platform
DIVER: A Multi-Stage Approach for Reasoning-intensive Information Retrieval
An Empirical Study of Continuous Connectivity Degree Sequence Equivalents
Two-Stream UNET Networks for Semantic Segmentation in Medical Images
Recursive Estimation of Orientation Based on the Bingham Distribution
FitVid: Overfitting in Pixel-Level Video Prediction
Distribution-Free Inference for the Regression Function of Binary Classification
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems
Characterization and modeling of the influence of initial microstructure on recrystallization of zircaloy-4 during hot forming
Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective
Penta and Hexa Valued Representation of Neutrosophic Information
A New Approach to Solve the Fuzzy Nonlinear Unconstraint Optimization Problem
MRI motion correction via efficient residual-guided denoising diffusion probabilistic models
Throwing Out the Baby with the Bathwater: The Undesirable Effects of National Research Assessment Exercises on Research
A Model of Proactive Safety Based on Knowledge Graph
Heuristics facilitates the evolution of transitive inference and social hierarchy in a large group
Thai Universal Dependency Treebank
Do open citations inform the qualitative peer-review evaluation in research assessments? An analysis of the Italian National Scientific Qualification
Universal Adversarial Perturbations Generative Network for Speaker Recognition
Practical Semantic Analysis of Web Sites and Documents
Speech Separation Using Gain-Adapted Factorial Hidden Markov Models
Secondary use of data in EHR systems
Learning Phonotactics from Linguistic Informants
Conditional Generative Data-Free Knowledge Distillation based on Attention Transfer
Building Tamil Treebanks
DANI: A Fast Diffusion Aware Network Inference Algorithm
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning
Sports Intelligence: Assessing the Sports Understanding Capabilities of Language Models through Question Answering from Text to Video
PatchEAD: Unifying Industrial Visual Prompting Frameworks for Patch-Exclusive Anomaly Detection
Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models
Risk Assessment in the Face-based Watchlist Screening in e-Border
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol
Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning
Dynamic View Synthesis as an Inverse Problem
MixAssist: An Audio-Language Dataset for Co-Creative AI Assistance in Music Mixing
SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network
The Proof is in the Almond Cookies
Learning to Reconfigure: Using Device Status to Select the Right Constrained Coding Scheme
Unsupervised anomaly detection in MeV ultrafast electron diffraction
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines
Information-theoretic tools for parametrized coarse-graining of non-equilibrium extended systems
P2PFormer: A Primitive-to-polygon Method for Regular Building Contour Extraction from Remote Sensing Images
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
Hacking in the Blind: (Almost) Invisible Runtime UI Attacks on Safety-Critical Terminals
Dominant Subspaces of High-Fidelity Nonlinear Structured Parametric Dynamical Systems and Model Reduction
Quantity vs Quality: Investigating the Trade-Off between Sample Size and Label Reliability
Participation Cost Estimation: Private Versus Non-Private Study
Deep Learning for Breast Cancer Classification: Enhanced Tangent Function
Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts
THCM-CAL: Temporal-Hierarchical Causal Modelling with Conformal Calibration for Clinical Risk Prediction
Equal Aperture Angles Curve for some Convex Sets in the Plane
Co-ordinate Interleaved Distributed Space-Time Coding for Two-Antenna-Relays Networks
Nested AutoRegressive Models
Multiwinner Elections with Diversity Constraints
Numerical assessment of the percolation threshold using complement networks
Confident magnitude-based neural network pruning
Puppet-Master: Scaling Interactive Video Generation as a Motion Prior for Part-Level Dynamics
Towards Reliable AI in 6G: Detecting Concept Drift in Wireless Network
SpiralShard: Highly Concurrent and Secure Blockchain Sharding via Linked Cross-shard Endorsement
Energy Efficiency of Massive Random Access in MIMO Quasi-Static Rayleigh Fading Channels with Finite Blocklength
Automated Detection of Dolphin Whistles with Convolutional Networks and Transfer Learning
Prove-It: A Proof Assistant for Organizing and Verifying General Mathematical Knowledge
Safe Load Balancing in Software-Defined-Networking
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation
Parameter-free 𝓵 p -Box Decoding of LDPC Codes
GraphZip: Dictionary-based Compression for Mining Graph Streams
GLA-Net: An Attention Network with Guided Loss for Mismatch Removal
RigAnyFace: Scaling Neural Facial Mesh Auto-Rigging with Unlabeled Data
Privacy Preservation by Local Design in Cooperative Networked Control Systems
Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors
Federated Online Learning for Heterogeneous Multisource Streaming Data
Universal Session Protocol: A Novel Approach to Session Management
Beyond Tools: Generative AI as Epistemic Infrastructure in Education
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures
Sum Rates, Rate Allocation, and User Scheduling for Multi-User MIMO Vector Perturbation Precoding
Active Learning for Regression Using Greedy Sampling
Performance of Cloud Radio Networks
Multimodal Content Representation and Similarity Ranking of Movies
Corrigibility as a Singular Target: A Vision for Inherently Reliable Foundation Models
Privacy-Preserving Decentralized Energy Management for Networked Microgrids via Objective-Based ADMM
Taming Distrust in the Decentralized Internet with PIXIU
Towards learning-to-learn
Toward Human-in-the-Loop Supervisory Control for Cyber-Physical Networks
LSTM-based model predictive control with discrete inputs for irrigation scheduling
ValNorm: A New Word Embedding Intrinsic Evaluation Method Reveals Valence Biases are Consistent Across Languages and Over Decades
Optical Time-Frequency Packing: Principles, Design, Implementation, and Experimental Demonstration
Solving Recurrent MIPs with Semi-supervised Graph Neural Networks
High order geometric methods with splines: an analysis of discrete Hodge-star operators
Big(ger) Sets: decomposed delta CRDT Sets in Riak
How Quantization Impacts Privacy Risk on LLMs for Code?
Fast Dempster-Shafer clustering using a neural network structure
Randomized Complexity of Mean Computation and the Adaption Problem
Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations
Fast consensus clustering in complex networks
Green OFDMA Resource Allocation in Cache-Enabled CRAN
Effects of dynamic power electronic load models on power systems analysis using ZIP-E loads
Problem of Application Job Monitoring in GRID Systems
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo
Deep Imputation of Missing Values in Time Series Health Data: A Review with Benchmarking
Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users
Dependability Assessment of the Android OS through Fault Injection
Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues
Simple Type Theory with Undefinedness, Quotation, and Evaluation
SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data
Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech
Selection of network coding nodes for minimal playback delay in streaming overlays
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment
Parameter identification in uncertain scalar conservation laws discretized with the discontinuous stochastic Galerkin Scheme
A Selective Secure Precoding Framework for MU-MIMO Rate-Splitting Multiple Access Networks Under Limited CSIT
Defending Against Adversarial Attack in ECG Classification with Adversarial Distillation Training
A Multimodal Depth-Aware Method For Embodied Reference Understanding
Geometrical Properties of Balls in Sum-Rank Metric
Guided Decoding for Robot Motion Generation and Adaption
MIS on the fly
CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution
A model for the spread of an epidemic from local to global: A case study of COVID-19 in India
Deep neural network Grad-Shafranov solver constrained with measured magnetic signals
Laziness, Barren Plateau, and Noise in Machine Learning
Multimodal Referring Segmentation: A Survey
Revec: Program Rejuvenation through Revectorization
Gated-Attention Feature-Fusion Based Framework for Poverty Prediction
Time Series Imaging for Link Layer Anomaly Classification in Wireless Networks
ylmmcl at Multilingual Text Detoxification 2025: Lexicon-Guided Detoxification and Classifier-Gated Rewriting
TriDeNT: Triple Deep Network Training for Privileged Knowledge Distillation in Histopathology
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification
Revisiting Prompt Optimization with Large Reasoning Models-A Case Study on Event Extraction
Efficiently Learning Structured Distributions from Untrusted Batches
AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs
Noise-Conditioned Mixture-of-Experts Framework for Robust Speaker Verification
Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models
Inverse Source Method for Constrained Phased Array Synthesis through Null-Space Exploitation
Activity Modeling in Smart Home using High Utility Pattern Mining over Data Streams
Transductive Parsing for Universal Decompositional Semantics
Gr-IoU: Ground-Intersection over Union for Robust Multi-Object Tracking with 3D Geometric Constraints
Lip2AudSpec: Speech reconstruction from silent lip movements video
Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
Moving Towards Open Set Incremental Learning: Readily Discovering New Authors
Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making
Bringing UFUs Back into the Air With FUEL: A Framework for Evaluating the Effectiveness of Unrestricted File Upload Vulnerability Scanners
CogRF: A New Frontier for Machine Learning and Artificial Intelligence for 6G RF Systems
Query Complexity of Classical and Quantum Channel Discrimination
Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens
Reasoning with Justifiable Exceptions in Contextual Hierarchies (Appendix)
Demand Response with Cooperating Rational Consumers
A state-of-knowledge review on the Endurance Time Method
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment
Dependent Type Refinements for Futures
An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques
Flyweight FLIM Networks for Salient Object Detection in Biomedical Images
DynaFlow: Dynamics-embedded Flow Matching for Physically Consistent Motion Generation from State-only Demonstrations
DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks
The ATLAS Publication Process Supported by Continuous Integration and Web Framework
Package upgrades in FOSS distributions: details and challenges
Constraint Propagation on GPU: A Case Study for the Bin Packing Constraint
A Preliminary Study on A Physical Model Oriented Learning Algorithm with Application to UAVs
MoodCapture: Depression Detection Using In-the-Wild Smartphone Images
AccMPEG: Optimizing Video Encoding for Video Analytics
A Broad-persistent Advising Approach for Deep Interactive Reinforcement Learning in Robotic Environments
New approach to MPI program execution time prediction
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion
Application of a Shallow Neural Network to Short-Term Stock Trading
VQA-LOL: Visual Question Answering under the Lens of Logic
Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation
A Survey of Idiom Datasets for Psycholinguistic and Computational Research
An Edge-Cloud based Reference Architecture to support cognitive solutions in the Process Industry
Designing neural networks that process mean values of random variables
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
GLINKX: A Scalable Unified Framework For Homophilous and Heterophilous Graphs
Acoustic scene classification using convolutional neural network and multiple-width frequency-delta data augmentation
Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation
Using orthogonally structured positive bases for constructing positive k-spanning sets with cosine measure guarantees
STRAP: Spatial-Temporal Risk-Attentive Vehicle Trajectory Prediction for Autonomous Driving
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning
Predicting Subway Passenger Flows under Incident Situation with Causality
Data Acquisition: A New Frontier in Data-centric AI
Argument Undermining: Counter-Argument Generation by Attacking Weak Premises
Putting GenAI on Notice: GenAI Exceptionalism and Contract Law
Towards an Understanding of the Role Operator Limb Dynamics Plays in Haptic Perception of Stiffness
Goal-Conditioned Q-Learning as Knowledge Distillation
Generative Kernel Spectral Clustering
PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering
On the (in)-approximability of Bayesian Revenue Maximization for a Combinatorial Buyer
An Invitation to Distributed Quantum Neural Networks
Aria Gen 2 Pilot Dataset
ARF-RLHF: Adaptive Reward-Following for RLHF through Emotion-Driven Self-Supervision and Trace-Biased Dynamic Optimization
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph
Randomized quasi-Monte Carlo and Owen's boundary growth condition: A spectral analysis
MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment
Is my Data in your AI Model? Membership Inference Test with Application to Face Images
XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation
Multi-Channel MAC Protocol for Full-Duplex Cognitive Radio Networks with Optimized Access Control and Load Balancing
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
PRAFlow_RVC: Pyramid Recurrent All-Pairs Field Transforms for Optical Flow Estimation in Robust Vision Challenge 2020
Phrase Based Language Model For Statistical Machine Translation
Consensus-based construction of high-dimensional free energy surface
Contact-based Social Contagion in Multiplex Networks
Construction of a spike-based memory using neural-like logic gates based on Spiking Neural Networks on SpiNNaker
Herb.jl: A Unifying Program Synthesis Library
Completeness Thresholds for Memory Safety: Early Preliminary Report
Order-Invariant Types and Their Applications
Skeleton-Guided Instance Separation for Fine-Grained Segmentation in Microscopy
Strong and Hiding Distributed Certification of k -Coloring
Evaluation of recommender systems in streaming environments
An Automatic Diagnosis Method of Facial Acne Vulgaris Based on Convolutional Neural Network
Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving
Overview of Logical Foundations of Cyber-Physical Systems
ZodiAq: An Isotropic Flagella-Inspired Soft Underwater Drone for Safe Marine Exploration
Panoptic-DeepLab
A Study of Feature Extraction techniques for Sentiment Analysis
Image Quality Assessment Guided Deep Neural Networks Training
PQDynamicISP: Dynamically Controlled Image Signal Processor for Any Image Sensors Pursuing Perceptual Quality
Byzantine-Resistant Secure Aggregation for Federated Learning Based on Coded Computing and Vector Commitment
Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation
Immutable in Principle, Upgradeable by Design: Exploratory Study of Smart Contract Upgradeability
3D Semantic Trajectory Reconstruction from 3D Pixel Continuum
Orbit Estimation Using a Horizon Detector in the Presence of Uncertain Celestial Body Rotation and Geometry
Real-Time Prediction of Delay Distribution in Service Systems using Mixture Density Networks
A Polynomial Time Graph Isomorphism Algorithm For A Restricted Class Of Graphs
Relaying Quantum Information
Identification of influential nodes in network of networks
Marker-Based Extrinsic Calibration Method for Accurate Multi-Camera 3D Reconstruction
Leveraging AV1 motion vectors for Fast and Dense Feature Matching
Rotation and Permutation for Advanced Outlier Management and Efficient Quantization of LLMs
TamilEmo: Finegrained Emotion Detection Dataset for Tamil
Effects of Graph Convolutions in Deep Networks
SurgVidLM: Towards Multi-grained Surgical Video Understanding with Large Language Model
Naive Gabor Networks
A cardiac electromechanics model coupled with a lumped parameters model for closed-loop blood circulation. Part I: model derivation
Table2answer: Read the database and answer without SQL
A survey on the semantics of sequential patterns with negation
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Failures of model-dependent generalization bounds for least-norm interpolation
Nonequilibrium in Thermodynamic Formalism: the Second Law, gases and Information Geometry
Time- and Behavior-Preserving Execution of Determinate Supervisory Control
A Machine to Machine framework for the charging of Electric Autonomous Vehicles
Locally consistent decomposition of strings with applications to edit distance sketching
Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences
Efficient SDP Inference for Fully-connected CRFs Based on Low-rank Decomposition
Definitions of distance function in radial basis function approach
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Something's Fishy In The Data Lake: A Critical Re-evaluation of Table Union Search Benchmarks
Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review
A Federated Reinforcement Learning Framework for Link Activation in Multi-link Wi-Fi Networks
Mobile Traffic Prediction using LLMs with Efficient In-context Demonstration Selection
Multi-scale Dynamics in a Massive Online Social Network