yusuke1997/dblp-id-title huggingface dataset:
Transformers Beyond Order: A Chaos-Markov-Gaussian Framework for Short-Term Sentiment Forecasting of Any Financial OHLC timeseries Data
Depth Augmented Networks with Optimal Fine-tuning
An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Driving
Video Motion Graphs
High-rate storage codes on triangle-free graphs
Rule-based High-level Hardware-RTL Synthesis of Algorithms, Virtualizing Machines, and Communication Protocols with FPGAs based on Concurrent Communicating Sequential Processes and the ConPro Synthesis Framework
GraSP: A Unified Graph-Based Framework for Scalable Generation, Quality Tagging, and Management of Synthetic Data for SFT and DPO
LEO: Boosting Mixture of Vision Encoders for Multimodal Large Language Models
Guided Frequency Loss for Image Restoration
Understanding graph embedding methods and their applications
Multiple Authors Detection: A Quantitative Analysis of Dream of the Red Chamber
Meta-Aggregating Networks for Class-Incremental Learning
Energy-Efficient Proactive Caching with Multipath Routing
Certifying and learning quantum Ising Hamiltonians
Disparity Image Segmentation For ADAS
Towards Language-Independent Face-Voice Association with Multimodal Foundation Models
Spectral rejection for testing hypotheses of structure in networks
On the Real-time Prediction Problems of Bursting Hashtags in Twitter
BLISS: Bandit Layer Importance Sampling Strategy for Efficient Training of Graph Neural Networks
Sensor Signal Processing using High-Level Synthesis and Internet of Things with a Layered Architecture
Short Paper: Atomic Execution is Not Enough for Arbitrage Profit Extraction in Shared Sequencers
Urban Building Energy Modeling (UBEM) Tools: A State-of-the-Art Review of bottom-up physics-based approaches
LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation
Federated Knowledge Graphs Embedding
The algorithmic hardness threshold for continuous random energy models
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification
Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine
Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis
Analyzing dynamical disorder for charge transport in organic semiconductors via machine learning
Transferred Q-learning
A Longitudinal Study on the Attitudes of Gay Men in Beijing Towards Gay Social Media Platforms: Lonely Souls in the Digital Concrete Jungle
Learning Explicit and Implicit Latent Common Spaces for Audio-Visual Cross-Modal Retrieval
RSSI-Based Self-Localization with Perturbed Anchor Positions
A Combinatorial-Probabilistic Analysis of Bitcoin Attacks
Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently
Grid-Forming Converters control based on DC voltage feedback
Knowledge Base Completion for Long-Tail Entities
Multi-modal Document Presentation Attack Detection With Forensics Trace Disentanglement
On GANs perpetuating biases for face verification
Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models
That's So FETCH: Fashioning Ensemble Techniques for LLM Classification in Civil Legal Intake and Referral
A Comparative Analysis of XGBoost
JaxMARL: Multi-Agent RL Environments in JAX
Handling Symbolic Language in Student Texts: A Comparative Study of NLP Embedding Models
DeepGLEAM: a hybrid mechanistic and deep learning model for COVID-19 forecasting
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning
Preconditioning Natural and Second Order Gradient Descent in Quantum Optimization: A Performance Benchmark
CBAM Integrated Attention Driven Model For Betel Leaf Diseases Classification With Explainable AI
The Relative Consistency of the Axiom of Choice Mechanized Using Isabelle/ZF
System Approximations and Generalized Measurements in Modern Sampling Theory
A Two-Stage Interpretable Matching Framework for Causal Inference
Embedded Line Scan Image Sensors: The Low Cost Alternative for High Speed Imaging
Increasing Robustness of the Anesthesia Process from Difference Patient's Delay Using a State-Space Model Predictive Controller
Riemannian Batch Normalization: A Gyro Approach
Style Conditioned Recommendations
ViTKD: Practical Guidelines for ViT feature knowledge distillation
Mutual information neural estimation in CNN-based end-to-end medical image registration
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring
Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation
Enhancing Pattern Classification in Support Vector Machines through Matrix Formulation
Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden Rewards
Optimal Geographical Caching in Heterogeneous Cellular Networks with Nonhomogeneous Helpers
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis
MDP Optimal Control under Temporal Logic Constraints
VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation
A neuro-symbolic framework for answering conjunctive queries
The Power of Adaptivity in Experimental Design
POLAR: A Benchmark for Multilingual, Multicultural, and Multi-Event Online Polarization
Enhancing Classification Performance via Reinforcement Learning for Feature Selection
Mesh adaptivity for quasi-static phase-field fractures based on a residual-type a posteriori error estimator
A Single-Point Measurement Framework for Robust Cyber-Attack Diagnosis in Smart Microgrids Using Dual Fractional-Order Feature Analysis
ES-Gaussian: Gaussian Splatting Mapping via Error Space-Based Gaussian Completion
Ain't No Stopping Us Monitoring Now
Systematic Use of Random Self-Reducibility against Physical Attacks
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement
Kernel Manifold Alignment
A Model-Based Fuzzy Control Approach to Achieving Adaptation with Contextual Uncertainties
Coconut Libtool: Bridging Textual Analysis Gaps for Non-Programmers
A Unifying Framework for Convergence Analysis of Approximate Newton Methods
Generalized Flow Matching for Transition Dynamics Modeling
Error-driven Fixed-Budget ASR Personalization for Accented Speakers
Multimodal Video Emotion Recognition with Reliable Reasoning Priors
Multi-Task Learning Using Neighborhood Kernels
Enhanced One-Step Neville Algorithm with Access to the Convergence Rate
A Genetic Algorithm Approach to the Grooming of Dynamic Traffic in Tree and Star Networks with Bifurcation
Color to Gray and Back transformation for distributing color digital images
Conversational Planning for Personal Plans
Guided Sequence-Structure Generative Modeling for Iterative Antibody Optimization
Computing sparse multiples of polynomials
Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search
Traffic Engineering Based on Effective Envelope Algorithm on Novel Resource Reservation Method over Mobile Internet Protocol Version 6
Rethinking The Uniformity Metric in Self-Supervised Learning
Emotion-driven Piano Music Generation via Two-stage Disentanglement and Functional Representation
A Unifying Theory for Runge-Kutta-like Time Integrators: Convergence and Stability
Multi-frame Signature-cum Anomaly-based Intrusion Detection Systems (MSAIDS) to Protect Privacy of Users over Mobile Collaborative Learning (MCL)
Closure Properties in the Class of Multiple Context Free Groups
Network compression and faster inference using spatial basis filters
H 2 O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models
Active Learning for Linear Parameter-Varying System Identification
On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH)
Characterizing People's Daily Activity Patterns in the Urban Environment: A Mobility Network Approach with Geographic Context-Aware Twitter Data
Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation
Tac2Pose: Tactile Object Pose Estimation from the First Touch
Application of Kähler manifold to signal processing and Bayesian inference
An SDR Implementation of a Visible Light Communication System Based on the IEEE 802.15.7 Standard
Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges
A Tale of Two Communities: Characterizing Reddit Response to COVID-19 through /r/China_Flu and /r/Coronavirus
Knowledge-augmented Pre-trained Language Models for Biomedical Relation Extraction
Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances
GeoZero: Incentivizing Reasoning from Scratch on Geospatial Scenes
Abstractive Meeting Summarization UsingDependency Graph Fusion
Deception, Delay, and Detection of Strategies
Towards Photonic Band Diagram Generation with Transformer-Latent Diffusion Models
Markovian Continuity of the MMSE
Blind image separation based on exponentiated transmuted Weibull distribution
Geodesic Folding of Tetrahedron
Security-Reliability Trade-Off Analysis for SWIPT- and AF-Based IoT Networks with Friendly Jammers
Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination
Network Modeling and Pathway Inference from Incomplete Data ("PathInf")
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation
ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer
Adaptive Discrete Disparity Volume for Self-supervised Monocular Depth Estimation
Echo-Teddy: Preliminary Design and Development of Large Language Model-based Social Robot for Autistic Students
Virtual-Thing: Thing Description based Virtualization
On the Performance of Direct Loss Minimization for Bayesian Neural Networks
The Mythical Good Software
Wasserstein distributionally robust risk-constrained iterative MPC for motion planning: computationally efficient approximations
Popular conjectures imply strong lower bounds for dynamic problems
A Dataset of Open-Domain Question Answering with Multiple-Span Answers
ExDDV: A New Dataset for Explainable Deepfake Detection in Video
Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks
Mortar coupling of hp-discontinuous Galerkin and boundary element methods for the Helmholtz equation
Efficiently Verifiable Proofs of Data Attribution
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
Data Dissemination in Opportunistic Networks
Incorporating Dynamicity of Transportation Network with Multi-Weight Traffic Graph Convolution for Traffic Forecasting
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading
Connecting Ideas in 'Lower-Resource' Scenarios: NLP for National Varieties, Creoles and Other Low-resource Scenarios
DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance
Counterpart Fairness - Addressing Systematic between-group Differences in Fairness Evaluation
Disciplined Quasiconvex Programming
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions
A Tapered Floating Point Extension for the Redundant Signed Radix 2 System Using the Canonical Recoding
Simultaneous support recovery in high dimensions: Benefits and perils of block l 1 /l infinity -regularization
Measuring interesting rules in Characteristic rule
Analysis of flexible traffic control method in SDN
Boundary Element Methods for the Laplace Hypersingular Integral Equation on Multiscreens: a two-level Substructuring Preconditioner
VAD-Net: Multidimensional Facial Expression Recognition in Intelligent Education System
Zooming into Face Forensics: A Pixel-level Analysis
Analyzing Large and Sparse Tensor Data using Spectral Low-Rank Approximation
A stabilized march approach to adjoint-based sensitivity analysis of chaotic flows
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks
AI Annotation Orchestration: Evaluating LLM verifiers to Improve the Quality of LLM Annotations in Learning Analytics
Efficient parameterized algorithms on graphs with heterogeneous structure: Combining tree-depth and modular-width
BioPro: On Difference-Aware Gender Fairness for Vision-Language Models
MolecularRNN: Generating realistic molecular graphs with optimized properties
Performance Optimization of Deep Learning Sparse Matrix Kernels on Intel Max Series GPU
Numerical methods for eigenvalues of singular polynomial eigenvalue problems
Privacy-Preserving Distributed Market Mechanism for Active Distribution Networks
Graph Embedding Techniques, Applications, and Performance: A Survey
MICACL: Multi-Instance Category-Aware Contrastive Learning for Long-Tailed Dynamic Facial Expression Recognition
Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual Transfer
Row-sensing Templates: A Generic 3D Sensor-based Approach to Robot Localization with Respect to Orchard Row Centerlines
Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
Modeling and Analysis of Phase-locked loops: a non reductionist approach
Document Image Cleaning using Budget-Aware Black-Box Approximation
On the Asymptotic Performance Analysis of the k-th Best Link Selection over Non-identical Non-central Chi-square Fading Channels
Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning
Neural Networks on Groups
Advances on Affordable Hardware Platforms for Human Demonstration Acquisition in Agricultural Applications
Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning
Information Modified K-Nearest Neighbor
A Robust Fuzzy Clustering Technique with Spatial Neighborhood Information for Effective Medical Image Segmentation
Updating belief functions over Belnap-Dunn logic
The Smart 2 Speaker Blocker: An Open-Source Privacy Filter for Connected Home Speakers
A new idea for RSA backdoors
The Failed Migration of Academic Twitter
Knowledge Integration and Diffusion: Measures and Mapping of Diversity and Coherence
Population-based Respiratory 4D Motion Atlas Construction and its Application for VR Simulations of Liver Punctures
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling
Analysis of different disparity estimation techniques on aerial stereo image datasets
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning
The Spectral Dimension of NTKs is Constant: A Theory of Implicit Regularization, Finite-Width Stability, and Scalable Estimation
Class Binarization to NeuroEvolution for Multiclass Classification
An Approach to Adaptive Microlearning in Higher Education
Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches
Detection of Children Abuse by Voice and Audio Classification by Short-Time Fourier Transform Machine Learning implemented on Nvidia Edge GPU device
Identifying Experts in Software Libraries and Frameworks among GitHub Users
Privacy-Preserving Explainable AIoT Application via SHAP Entropy Regularization
DS@GT at CheckThat! 2025: A Simple Retrieval-First, LLM-Backed Framework for Claim Normalization
Downlink Performance and Capacity of Distributed Antenna Systems
SALMAN: Stability Analysis of Language Models Through the Maps Between Graph-based Manifolds
Using Rough Set and Support Vector Machine for Network Intrusion Detection
An Intelligent and Privacy-Preserving Digital Twin Model for Aging-in-Place
MIMO Radars and Massive MIMO Communication Systems can Coexist
Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes
Latent Alignment with Deep Set EEG Decoders
The computational power of discrete chemical reaction networks with bounded executions
GNRK: Graph Neural Runge-Kutta method for solving partial differential equations
Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation
Semi-Blind Image Deblurring Based on Framelet Prior
Comparison of Data Reduction Criteria for Online Gaussian Processes
Towards Better Long-range Time Series Forecasting using Generative Adversarial Networks
Deriving Relationship Between Semantic Models - An Approach for cCSP
A Diffusion Model to Shrink Proteins While Maintaining Their Function
k -PCA for (non-squared) Euclidean Distances: Polynomial Time Approximation
Can Synthetic Images Conquer Forgetting? Beyond Unexplored Doubts in Few-Shot Class-Incremental Learning
Are language models aware of the road not taken? Token-level uncertainty and hidden state dynamics
Implementing dynamic high-performance computing supported workflows on Scanning Transmission Electron Microscope
Coded Caching Scheme for Partially Connected Linear Networks Via Multi-antenna Placement Delivery Array
Homotopical Entropy
An Extensive Evaluation of Factual Consistency in Large Language Models for Data-to-Text Generation
A Survey on Personalized Affective Computing in Human-Machine Interaction
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks
Causal-aware Safe Policy Improvement for Task-oriented dialogue
Determining Determiner Sequencing: A Syntactic Analysis for English
A distributed-memory package for dense Hierarchically Semi-Separable matrix computations using randomization
Contact-Implicit Trajectory Optimization using Orthogonal Collocation
KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding
On the Stability and Accuracy of Clenshaw-Curtis Collocation
FathomNet: An underwater image training database for ocean exploration and discovery
Understanding and Mitigating the Security Risks of Content Inclusion in Web Browsers
On the Intractability of Chaotic Symbolic Walks: Toward a Non-Algebraic Post-Quantum Hardness Assumption
QuSplit: Achieving Both High Fidelity and Throughput via Job Splitting on Noisy Quantum Computers
MC-QDSNN: Quantized Deep evolutionary SNN with Multi-Dendritic Compartment Neurons for Stress Detection using Physiological Signals
Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms
Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
Towards Realistic Guarantees: A Probabilistic Certificate for SmoothLLM
Combating Computational Heterogeneity in Large-Scale Distributed Computing via Work Exchange
Multimodal Foundation Models for Early Disease Detection
SupCLAP: Controlling Optimization Trajectory Drift in Audio-Text Contrastive Learning with Support Vector Regularization
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data
Implementation of Sensor Network using Efficient CAN Interface
SVBR-NET: A Non-Blind Spatially Varying Defocus Blur Removal Network
Feature Encoding in Band-limited Distributed Surveillance Systems
Towards evolution of Deep Neural Networks through contrastive Self-Supervised learning
Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection
A New Type of Foundation Model Based on Recordings of People's Emotions and Physiology
Superpixel Segmentation: A Long-Lasting Ill-Posed Problem
MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam
On the complexity and approximability of Bounded access Lempel Ziv coding
Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3
On the Evaluation of LTE Random Access Channel Overload in a Smart City Scenario
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
Identifying codes in hereditary classes of graphs and VC-dimension
Accelerated Training of Physics Informed Neural Networks (PINNs) using Meshless Discretizations
Noise-Tolerance GPU-based Age Estimation Using ResNet-50
Concentration Inequalities for (f,Ɣ)-GANs
Reconfigurable Antennas in mmWave MIMO Systems
A Novel Paradigm for Calculating Ramsey Number via Artificial Bee Colony Algorithm
Output-Sparse Matrix Multiplication Using Compressed Sensing
Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline
Scalable Cellular V2X Solutions: Large-Scale Deployment Challenges of Connected Vehicle Safety Networks
Average Consensus in the Presence of Delays and Dynamically Changing Directed Graph Topologies
Event-based multi-view photogrammetry for high-dynamic, high-velocity target measurement
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization
AI-Driven Stylization of 3D Environments
robust synergistic hybrid feedback
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
Modeling finite viscoelasticity based on the Green-Naghdi kinematic assumption and generalized strains
Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning
Designing nanophotonic structures using conditional-deep convolutional generative adversarial networks
Efficient Power Flow Management and Peak Shaving in a Microgrid-PV System
Testing the ability of Multivariate Hybrid Spatial Network Analysis to predict the effect of a major urban redevelopment on pedestrian flows
Adaptive Weighting Depth-variant Deconvolution of Fluorescence Microscopy Images with Convolutional Neural Network
Age Minimization Transmission Scheduling over Time-Correlated Fading Channel under An Average Energy Constraint
Orbit closures, stabilizer limits and intermediate G-varieties
Online Learning-Enhanced Lie Algebraic MPC for Robust Trajectory Tracking of Autonomous Surface Vehicles
Analyzing Photovoltaic's Impact on Conservation Voltage Reduction in Distribution Networks
Time Efficiency of BATS Coding on Wireless Relay Network With Overhearing
Uncovering Complex Overlapping Pattern of Communities in Large-scale Social Networks
Practice on Long Behavior Sequence Modeling in Tencent Advertising
Understanding Continuous and Pleasant Linear Sensations on the Forearm from a Sequential Discrete Lateral Skin-Slip Haptic Device
Semi-supervised Learning for Dense Object Detection in Retail Scenes
DecisionFlow: Advancing Large Language Model as Principled Decision Maker
Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning
On the Existence of the Adversarial Bayes Classifier (Extended Version)
Harmonic Detection from Noisy Speech with Auditory Frame Gain for Intelligibility Enhancement
Towards Trainable Saliency Maps in Medical Imaging
Improving the Reliability of Mobility Applications
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images
Iterative Learning Control with Mismatch Compensation for Residual Vibration Suppression in Delta Robots
Approximation Algorithms for the b -Matching and List-Restricted Variants of MaxQAP
How to Define Design in Industrial Control and Automation Software
CompressKV: Semantic Retrieval Heads Know What Tokens are Not Important Before Generation
A New Spatio-Temporal Loss Function for 3D Motion Reconstruction and Extended Temporal Metrics for Motion Evaluation
The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas
TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction
Closure Properties of Unrestricted Grammars - Formally Verified
Bayesian learning of feature spaces for multitasks problems
Identifying Benefits and risks associated with utilizing cloud computing
Revolutionizing Pharmaceutical Manufacturing: Advances and Challenges of 3D Printing System and Control
Online Video Understanding: A Comprehensive Benchmark and Memory-Augmented Method