yusuke1997/dblp-id-title huggingface dataset:
Character-level Deep Conflation for Business Data Analytics
Multimodal Large Language Models for Enhanced Traffic Safety: A Comprehensive Review and Future Trends
Learning Causally Invariant Reward Functions from Diverse Demonstrations
Impact of Facial Tattoos and Paintings on Face Recognition Systems
Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge
Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
A Stackelberg Game for Multi-Period Demand Response Management in the Smart Grid
QMUL-SDS @ SardiStance: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs
Explainable Student Performance Prediction With Personalized Attention for Explaining Why A Student Fails
Sum rate analysis of a reduced feedback OFDMA system employing joint scheduling and diversity
Analysis of the French system imbalance paving the way for a novel operating reserve sizing approach
Textbook Question Answering with Knowledge Graph Understanding and Unsupervised Open-set Text Comprehension
A new representation of Chaitin Ωnumber based on compressible strings
Locally optimal detection of stochastic targeted universal adversarial perturbations
Convergence of neural networks to Gaussian mixture distribution
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition
Minimizing the Expected Posterior Entropy Yields Optimal Summary Statistics
Bias-Aware AI Chatbot for Engineering Advising at the University of Maryland A. James Clark School of Engineering
A deep learning algorithm for reducing false positives in screening mammography
String Diagrams for Regular Logic (Extended Abstract)
Luth: Efficient French Specialization for Small Language Models and Cross-Lingual Transfer
Time-Domain Operational Metrics for Real-time Resilience Assessment in DC Microgrids
Mean field theory for deep dropout networks: digging up gradient backpropagation deeply
SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation
Phase Transition Analysis of Sparse Support Detection from Noisy Measurements
FasterX: Real-Time Object Detection Based on Edge GPUs for UAV Applications
Online Allocation of Reusable Resources: Achieving Optimal Competitive Ratio
DEARF: Delay and Energy Aware RAW Formation Scheme to Support Delay Sensitive M2M Traffic in IEEE 802.11ah Networks
Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography
Active Deception using Factored Interactive POMDPs to Recognize Cyber Attacker's Intent
Enhancing Conversational Agents with Theory of Mind: Aligning Beliefs, Desires, and Intentions for Human-Like Interaction
VPS: Excavating High-Level C++ Constructs from Low-Level Binaries to Protect Dynamic Dispatching
Taming VR Teleoperation and Learning from Demonstration for Multi-Task Bimanual Table Service Manipulation
Surrogate-based Real-time Curbside Management for Ride-hailing and Delivery Operations
NaviHydra: Controllable Navigation-guided End-to-end Autonomous Driving with Hydra-distillation
A Hybrid High-Order method for the power-law Brinkman problem robust in all regimes
Quantum walk in a reinforced free-energy landscape: Quantum annealing with reinforcement
STRONG: Synchronous and asynchronous RObust Network localization, under Non-Gaussian noise
M 3 A Policy: Mutable Material Manipulation Augmentation Policy through Photometric Re-rendering
Color and Gradient Features for Text Segmentation from Video Frames
Exploiting Context-Awareness for Secure Spectrum Trading in Multi-hop Cognitive Cellular Networks
Scaling VANET Security Through Cooperative Message Verification
A Basic Geometric Framework for Quasi-Static Mechanical Manipulation
Sensitivity-Based Layer Insertion for Residual and Feedforward Neural Networks
AltecOnDB: A Large-Vocabulary Arabic Online Handwriting Recognition Database
Learn to Change the World: Multi-level Reinforcement Learning with Model-Changing Actions
Case-Based Reasoning Approach for Solving Financial Question Answering
A Taxonomy of Privacy Constructs for Privacy-Sensitive Robotics
Utilizing Segment Anything Model For Assessing Localization of GRAD-CAM in Medical Imaging
Event Identification in Social Networks
Two-Parameter Rényi Information Quantities with Applications to Privacy Amplification and Soft Covering
Assessing SPARQL capabilities of Large Language Models
Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers
Protocols and Performance Limits for Half-Duplex Relay Networks
Minimally Supervised Written-to-Spoken Text Normalization
Combining Vision and Tactile Sensation for Video Prediction
Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models
A Novel Data Hiding Scheme for Binary Images
Convolutional Polar Codes on Channels with Memory
Convolutional Networks with MuxOut Layers as Multi-rate Systems for Image Upscaling
UFPS: A unified framework for partially-annotated federated segmentation in heterogeneous data distribution
Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting
A Point Process Model for Optimizing Repeated Personalized Action Delivery to Users
A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks
Static Application-Level Race Detection in STM Haskell using Contracts
Structural Controllability of Multi-Agent Networks: Robustness against Simultaneous Failures
Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks
Efficient and Physically-Consistent Modeling of Reconfigurable Electromagnetic Structures
Learning Game-Playing Agents with Generative Code Optimization
LCE: A Framework for Explainability of DNNs for Ultrasound Image Based on Concept Discovery
Pareto-Path Multi-Task Multiple Kernel Learning
Portfolio construction using a sampling-based variational quantum scheme
Bayesian Conditioned Diffusion Models for Inverse Problems
A Logical Study of Some Common Principles of Inductive Definition and its Implications for Knowledge Representation
Virtual staining for mitosis detection in Breast Histopathology
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction
Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks
Fast, feature-rich weakly-compressible SPH on GPU: coding strategies and compiler choices
Prospects for the implementation of an affordable VR/AR-content management tool for Learning Management Systems
Hiding Individuals and Communities in a Social Network
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings
Optimisation of Active Space Debris Removal Missions With Multiple Targets Using Quantum Annealing
Simultaneous Identification and Control Using Active Signal Injection for Series Hybrid Electric Vehicles based on Dynamic Programming
Batch Clipping and Adaptive Layerwise Clipping for Differential Private Stochastic Gradient Descent
Structuring multi-dimensional subshifts
List Decoding of Folded Reed-Solomon Codes Over Galois Ring
Crash-Tolerant Consensus in Directed Graphs
Decoding SEC Actions: Enforcement Trends through Analyzing Blockchain litigation using LLM-based Thematic Factor Mapping
Tight space-noise tradeoffs in computing the ergodic measure
Determinantal sets, singularities and application to optimal control in medical imagery
Deep Feature Embedding for Tabular Data
Analysis of second-order temporal schemes for modeling flow-solute transport in unsaturated porous media
Coarse-Grained Sense Inventories Based on Semantic Matching between English Dictionaries
Graph analytics workflows enactment on just in time data centres, Position Paper
One Parser, Many Languages
Autonomous Robotic Endoscope Control based on Semantically Rich Instructions
On the global convergence of randomized coordinate gradient descent for non-convex optimization
A New Approach to Adaptive Signal Processing
Towards a Better Understanding of Large Scale Network Models
A Tiny Machine Learning Model for Point Cloud Object Classification
Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier
Developing an Optimal Model for Predicting the Severity of Wheat Stem Rust (Case study of Arsi and Bale Zone)
On the Poisson Equation of Parameter-Dependent Markov Chains
Manipulating a Tetris-Inspired 3D Video Representation
Learning over von Mises-Fisher Distributions via a Wasserstein-like Geometry
Neural-based Modeling for Performance Tuning of Spark Data Analytics
Zero-Cost Coercions for Program and Proof Reuse
A two-enqueuer queue
Towards Hybrid Cloud-assisted Crowdsourced Live Streaming: Measurement and Analysis
Survey of Matrix Completion Algorithms
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes
K-Core Decomposition on Super Large Graphs with Limited Resources
Automatic Tuberculosis and COVID-19 cough classification using deep learning
Nodal surfaces in ℙ 3 and coding theory
Cylindrical Algebraic Decompositions for Boolean Combinations
Measuring Scalar Constructs in Social Science with LLMs
LAMBERT: Layout-Aware language Modeling using BERT for information extraction
Pairwise Weights for Temporal Credit Assignment
Theoretical Insights into CycleGAN: Analyzing Approximation and Estimation Errors in Unpaired Data Generation
OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data
The set of dimensions for which there are no linear perfect 2-error-correcting Lee codes has positive density
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector
Exploring the Evolution of Hidden Activations with Live-Update Visualization
Neuromodulated Goal-Driven Perception in Uncertain Domains
Benchmarking the Fidelity and Utility of Synthetic Relational Data
Image Pre-Processing Framework for Time-Domain Astronomy in the Artificial Intelligence Era
Neural-Symbolic Reasoning on Knowledge Graphs
A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation
High-throughput Binding Affinity Calculations at Extreme Scales
Error bounds for the asymptotic expansion of the partition function
OmniAgent: Audio-Guided Active Perception Agent for Omnimodal Audio-Video Understanding
LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation
Efficient Dense Frontier Detection for 2D Graph SLAM Based on Occupancy Grid Submaps
Cross-View of Testing Techniques Toward Improving Web-Based Application Testing
Optimizing Research Portfolio For Semantic Impact
Uncertainty Quantification in Computer-Aided Diagnosis: Make Your Model say "I don't know" for Ambiguous Cases
METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring
Towards a serious games evacuation simulator
Think Too Fast Nor Too Slow: The Computational Trade-off Between Planning And Reinforcement Learning
Multimodal Generative AI and Foundation Models for Behavioural Health in Online Gambling
Memory Efficient Multithreaded Incremental Segmented Sieve Algorithm
Stackelberg Independence
Automatic ISA analysis for Secure Context Switching
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
From Split to Share: Private Inference with Distributed Feature Sharing
Scheduling a Multi-Product Pipeline: A Discretized MILP Formulation
Adaptive Algebraic Reuse of Reordering in Cholesky Factorization with Dynamic Sparsity Pattern
An Auxiliary Space Preconditioner for Fractional Laplacian of Negative Order
The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture
LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques
On the Orchard crossing number of complete bipartite graphs
A Medical Multimodal Diagnostic Framework Integrating Vision-Language Models and Logic Tree Reasoning
Optimal Rounding for Two-Stage Bipartite Matching
NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025
Assessing the Technical and Environmental Impacts of Energy Management Systems in Smart Ports
HiMix: Reducing Computational Complexity in Large Vision-Language Models
Meta Learning Low Rank Covariance Factors for Energy-Based Deterministic Uncertainty
Iceberg: Enhancing HLS Modeling with Synthetic Data
Temporal Heterogeneities Increase the Prevalence of Epidemics on Evolving Networks
Recent Trends in Deep Learning Based Personality Detection
Additive Link Metrics Identification: Proof of Selected Lemmas and Propositions
The Data Movement Bottleneck: Theoretical Shortcomings of Analog Optical Fourier Transform and Convolution Computing Accelerators
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
LatentEvolve: Self-Evolving Test-Time Scaling in Latent Space
Combinatorial Auctions with Restricted Complements
Total Variation-Based Reconstruction and Phase Retrieval for Diffraction Tomography with an Arbitrarily Moving Object
Multi-Objective Parameter-less Population Pyramid for Solving Industrial Process Planning Problems
PODPose: Integrating Proper Orthogonal Decomposition and EITPose
Sharpend Cosine Similarity based Neural Network for Hyperspectral Image Classification
Knowledge-Aware Language Model Pretraining
Biomedical Data Warehouses
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization
Privileged Features Distillation for E-Commerce Recommendations
1-HKUST: Object Detection in ILSVRC 2014
Beneficial Perturbations Network for Defending Adversarial Examples
Detection of Disease on Nasal Breath Sound by New Lightweight Architecture: Using COVID-19 as An Example
Optimizing information flow in Gene Regulatory Networks: a geometric perspective
AdaSlicing: Adaptive Online Network Slicing under Continual Network Dynamics in Open Radio Access Networks
Deep Neural Networks and Finite Elements of Any Order on Arbitrary Dimensions
Anticipatory Governance in Data-Constrained Environments: A Predictive Simulation Framework for Digital Financial Inclusion
Establishment and placement of a Multi-purpose Phasor measurement unit to improve parallel state estimation in distribution Networks
Approximately Hadamard matrices and Riesz bases in random frames
Ultra Low-latency, Low-area Inference Accelerators using Heterogeneous Deep Quantization with QKeras and hls4ml
Communication in Complex Networks
Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset
Learning a Formality-Aware Japanese Sentence Representation
Fully Digital Second-order Level-crossing Sampling ADC for Data Saving in Sensing Sparse Signals
Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
On the Complexity of Linear Temporal Logic with Team Semantics
Super-LIO: A Robust and Efficient LiDAR-Inertial Odometry System with a Compact Mapping Strategy
On the global complexity of a derivative-free Levenberg-Marquardt algorithm via orthogonal spherical smoothing
Fault Localization Models in Debugging
A Conceptual E-Governance Framework for Improving Child Immunization Process in India
HTMA-Net: Towards Multiplication-Avoiding Neural Networks via Hadamard Transform and In-Memory Computing
Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference
Choosability of a weighted path and free-choosability of a cycle
Multi-View Breast Cancer Classification via Hypercomplex Neural Networks
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
Compressed sensing with structured sparsity and structured acquisition
MetaOpenFOAM: an LLM-based multi-agent framework for CFD
An ADMM-based Coordination and Control Strategy for PV and Storage to Dispatch Stochastic Prosumers: Theory and Experimental Validation
AIM2PC: Aerial Image to 3D Building Point Cloud Reconstruction
RETRO: REthinking Tactile Representation Learning with Material PriOrs
Typing Context-Dependent Behavioural Variation
ZeroSiam: An Efficient Siamese for Test-Time Entropy Optimization without Collapse
Note on Existence and Non-Existence of Large Subsets of Binary Vectors with Similar Distances
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networks
Metamorphic Relation Prioritization for Effective Regression Testing
Text to Trust: Evaluating Fine-Tuning and LoRA Trade-offs in Language Models for Unfair Terms of Service Detection
Cut Facets and Cube Facets of Lifted Multicut Polytopes
Inverse design of dual-band valley-Hall topological photonic crystals with arbitrary pseudospin states
Biomolecular Electrostatics Simulation by an FMM-based BEM on 512 GPUs
CP-TT: using TT-SVD to greedily construct a Canonical Polyadic tensor approximation
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory
A Study on the Challenges of Using Robotics Simulators for Testing
Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks
Active Metric Learning for Supervised Classification
Transforming Traditional Neural Networks into Neuromorphic Quantum-Cognitive Models: A Tutorial with Applications
L2 Regularization versus Batch and Weight Normalization
Deep Nonlinear Non-Gaussian Filtering for Dynamical Systems
Robust Low-Rank Matrix Completion via a New Sparsity-Inducing Regularizer
Boosting Co-teaching with Compression Regularization for Label Noise
Bounds on the Average Distance and Distance Enumerator with Applications to Non-Interactive Simulation
Using Deep learning methods for generation of a personalized list of shuffled songs
Applying Evolutionary Metaheuristics for Parameter Estimation of Individual-Based Models
Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Models
Towards Holistic Language-video Representation: the language model-enhanced MSR-Video to Text Dataset
Extraction of Road Users' Behavior From Realistic Data According to Assumptions in Safety-Related Models for Automated Driving Systems
From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition
Human-like Semantic Navigation for Autonomous Driving using Knowledge Representation and Large Language Models
A Simple Algorithm for the Constrained Sequence Problems
Online Group-exercises for Older Adults of Different Physical Abilities
C2PSA-Enhanced YOLOv11 Architecture: A Novel Approach for Small Target Detection in Cotton Disease Diagnosis
Get It Scored Using AutoSAS - An Automated System for Scoring Short Answers
Roles of Retailers in the Peer-to-Peer Electricity Market: A Single Retailer Perspective
State-of-the-Art on Query & Transaction Processing Acceleration
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network with On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One
Identifiability of deep generative models under mixture priors without auxiliary information
Inference Computation Scaling for Feature Augmentation in Recommendation Systems
Algebraic solutions of tropical optimization problems
TeraRIS NOMA-MIMO Communications for 6G and Beyond Industrial Networks
Rust: The Programming Language for Safety and Performance
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer
Empirical Advocacy of Bio-inspired Models for Robust Image Recognition
DropClass and DropAdapt: Dropping classes for deep speaker representation learning
Survey of Consistent Network Updates
Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models
Catch Me If You Can? Not Yet: LLMs Still Struggle to Imitate the Implicit Writing Styles of Everyday Authors
Analysis of effectiveness of thresholding in perfusion ROI detection on T2-weighted MR images with abnormal brain anatomy
Phase transition in the controllability of temporal networks
G-VAE: A Continuously Variable Rate Deep Image Compression Framework
Improving Table Understanding with LLMs and Entity-Oriented Search
Output adaptive control for linear systems under parametric uncertainties with finite-time matching input harmonic disturbance rejection
CPR: Causal Physiological Representation Learning for Robust ECG Analysis under Distribution Shifts
Video Pre-trained Transformer: A Multimodal Mixture of Pre-trained Experts
Hardness Results on Curve/Point Set Matching with Fréchet Distance
Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation
Optimal Adaptive Matrix Completion
Image-free multi-character recognition
Multi-feature Reconstruction Network using Crossed-mask Restoration for Unsupervised Anomaly Detection
Pure Nash Equilibria: Complete Characterization of Hard and Easy Graphical Games
AB-UPT for Automotive and Aerospace Applications
Learning Query Inseparable ELH Ontologies
TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update
Sibyl: Simple yet Effective Agent Framework for Complex Real-world Reasoning
A Dynamic and Cooperative Tracking System for Crowdfunding
Diffusion-Based Approaches in Medical Image Generation and Analysis
Good Questions Help Zero-Shot Image Reasoning
Insecure primitive elements in an ElGamal signature protocol
Controlled Online Optimization Learning (COOL): Finding the ground state of spin Hamiltonians with reinforcement learning
Engineering Autonomous Driving Software
Residual Memory Networks: Feed-forward approach to learn long temporal dependencies
Synchronization and Control of Chaotic Spur Gear System Using Type-II Fuzzy Controller Optimized via Whale Optimization Algorithm
Emergence of Bursts and Communities in Evolving Weighted Networks
Approximate Backbone Based Multilevel Algorithm for Next Release Problem
Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization through Progressive Target Evolution
How opinions crystallise: an analysis of polarisation in the voter model
Stable Blind Deconvolution over the Reals from Additional Autocorrelations
Day-Ahead Solar Forecasting Based on Multi-level Solar Measurements
Do you know "saudade"? The importance of a cultural and language-based emotion approach for HCI
FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation
Walk-and-Relate: A Random-Walk-based Algorithm for Representation Learning on Sparse Knowledge Graphs
Cross-Domain Evaluation of Transformer-Based Vulnerability Detection on Open & Industry Data
Characterisation of Strongly Normalising lambda-mu-Terms
Multiclass Permanent Magnets Superstructure for Indoor Localization using Artificial Intelligence
Arc Flow Formulations Based on Dynamic Programming: Theoretical Foundations and Applications
AutoDecoding Latent 3D Diffusion Models
VCORE: Variance-Controlled Optimization-based Reweighting for Chain-of-Thought Supervision
Geo-located Aspect Based Sentiment Analysis (ABSA) for Crowdsourced Evaluation of Urban Environments
V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction
SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-Tuning
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
Multiscale topology optimization of functionally graded lattice structures based on physics-augmented neural network material models
My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping
Long-term Compliance Habits: What Early Data Tells Us
MFMAN-YOLO: A Method for Detecting Pole-like Obstacles in Complex Environment
Particle-based and Meshless Methods with Aboria
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows
Preserving Topological and Geometric Embeddings for Point Cloud Recovery