yusuke1997/dblp-id-title huggingface dataset:
Multilingual Language Model Adaptive Fine-Tuning: A Study on African Languages
The Elliptical Potential Lemma Revisited
Reliability Check: An Analysis of GPT-3's Response to Sensitive Topics and Prompt Wording
Picking a Needle in a Haystack: Detecting Drones via Network Traffic Analysis
Overcoming Memory Weakness with Unified Fairness
A Framework to Analyze Interactions between Transmission and Distribution Systems
Score-based Generative Diffusion Models for Social Recommendations
End-to-End Classification of Reverberant Rooms using DNNs
Multipoint Volterra Series Interpolation and H2 Optimal Model Reduction of Bilinear Systems
Robust Kernel-based Distribution Regression
HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation
Evaluating community structure in large network with random walks
Distributed Privacy-Preserving Prediction
Discovering Governing equations from Graph-Structured Data by Sparse Identification of Nonlinear Dynamical Systems
Long Context RAG Performance of Large Language Models
Extended Abstract: Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models
Pix2HDR - A pixel-wise acquisition and deep learning-based synthesis approach for high-speed HDR videos
Finite element method for thermal analysis of concentrating solar receivers
Classification of COVID-19 X-ray Images Using a Combination of Deep and Handcrafted Features
Investigation of Adaptive Hotspot-Aware Indexes for Oscillating Write-Heavy and Read-Heavy Workloads - An Experimental Study
Cybernetic Environment: A Historical Reflection on System, Design, and Machine Intelligence
Prediction of the Optimal Threshold Value in DF Relay Selection Schemes Based on Artificial Neural Networks
Learning to Localize Leakage of Cryptographic Sensitive Variables
Towards SLO-Optimized LLM Serving via Automatic Inference Engine Tuning
Game Theory and Coverage Optimization Based Multihop Routing Protocol for Network Lifetime in Wireless Sensor Networks
PLAM: a Posit Logarithm-Approximate Multiplier for Power Efficient Posit-based DNNs
Treatment Effect Estimation using Invariant Risk Minimization
The effect of algorithmic bias and network structure on coexistence, consensus, and polarization of opinions
Efficient Probabilistic Assessment of Power System Resilience Using the Polynomial Chaos Expansion Method with Enhanced Stability
LDA-2IoT : A Level Dependent Authentication using Two Factor for IoT Paradigm
Industry-academia research collaboration and knowledge co-creation: Patterns and anti-patterns
Agent+P: Guiding UI Agents via Symbolic Planning
Scalable Vehicle Re-Identification via Self-Supervision
Structure-Aware Contrastive Learning with Fine-Grained Binding Representations for Drug Discovery
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
The Tragedy of the AI Commons
Storage codes -- coding rate and repair locality
Ternary Codes Associated with O^-(2n,q) and Power Moments of Kloosterman Sums with Square Arguments
Large Language Models for Judicial Entity Extraction: A Comparative Study
The Support of Bin Packing is Exponential
Deep reinforced learning heuristic tested on spin-glass ground states: The larger picture
An Independent Evaluation of Subspace Face Recognition Algorithms
Parameterized Bilinear Matrix Inequality Techniques in H ∞ Fuzzy PID Control Design
COVID-19 Pandemic: Identifying Key Issues using Social Media and Natural Language Processing
Group Mutual Exclusion in Linear Time and Space
An STL-based Formulation of Resilience in Cyber-Physical Systems
Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy vs. Performance
Tests for Single Snapshot Multiple Target Detection
Integrating the Wikidata Taxonomy into YAGO
Am I a Baller? Basketball Skill Assessment using First-Person Cameras
Towards a Function-as-a-Service Choreographic Programming Language: Examples and Applications
Beyond the Bethe Free Energy of LDPC Codes via Polymer Expansions
Balanced Truncation of Linear Time-Invariant Systems over Finite-frequency Ranges
A Utility-Preserving GAN for Face Obscuration
Self-supervised Vision Transformers for Joint SAR-optical Representation Learning
Numerical evaluation of code live-load models for estimating the forces caused by actual vehicles that act on bridge substructures
Ensemble Detection of Single & Multiple Events at Sentence-Level
3D Shape Tokenization
Object Detection under Rainy Conditions for Autonomous Vehicles
False Analog Data Injection Attack Towards Topology Errors: Formulation and Feasibility Analysis
Field normalization of scientometric indicators
An Embarrassingly Simple Defense Against Backdoor Attacks On SSL
Instruction Tuning for Story Understanding and Generation with Weak Supervision
Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model
Proposal of appropriate location calculations for environment adaptation
What stops social epidemics?
Spatial Reconstructed Local Attention Res2Net with F0 Subband for Fake Speech Detection
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm
Text Understanding and Generation Using Transformer Models for Intelligent E-commerce Recommendations
Inference Attacks: A Taxonomy, Survey, and Promising Directions
Rectifying Group Irregularities in Explanations for Distribution Shift
Comprint: Image Forgery Detection and Localization using Compression Fingerprints
Hardware Implementation of Soft Mapper/Demappers in Iterative EP-based Receivers
Random numbers as probabilities of machine behaviour
Identifying Sub-networks in Neural Networks via Functionally Similar Representations
Mitigating Asymmetric Nonlinear Weight Update Effects in Hardware Neural Network based on Analog Resistive Synapse
Optimally Scheduling CNN Convolutions for Efficient Memory Access
Binary Polarization Kernels from Code Decompositions
Meta-Learning and representation learner: A short theoretical note
An Analysis for Image-to-Image Translation and Style Transfer
Language models in word sense disambiguation for Polish
An edge density definition of overlapping and weighted graph communities
A Video Anomaly Detection Framework based on Appearance-Motion Semantics Representation Consistency
Markov chain aggregation and its application to rule-based modelling
Towards Two-Stream Foveation-based Active Vision Learning
Planar Pixelations and Image Recognition
Method of diagnosing heart disease based on deep learning ECG signal
Bespoke multiresolution analysis of graph signals
New construction of APN quaratic
A Novel Approach to Distributed Multi-Class SVM
A Straightforward Preprocessing Approach for Accelerating Convex Hull Computations on the GPU
Few-shot Learning using Data Augmentation and Time-Frequency Transformation for Time Series Classification
SecureSMART: A Security Architecture for BFT Replication Libraries
Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms
Some Results of Experimental Check of The Model of the Object Innovativeness Quantitative Evaluation
A Strong Baseline for Crowd Counting and Unsupervised People Localization
A Comparative Study on Remote Tracking of Parkinsons Disease Progression Using Data Mining Methods
Predictive Modeling of Flood-Prone Areas Using SAR and Environmental Variables
Data-Driven Modeling of Group Entitativity in Virtual Environments
Scalable Online Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators
On Automating Triangle Constructions in Absolute and Hyperbolic Geometry
Latency Minimization for IRS-enhanced Wideband MEC Networks with Practical Reflection Model
EBG: A Lazy Functional Programming Language Implemented on the Java Virtual Machine
Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity
An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models
Collusion Resistant DNS With Private Information Retrieval
Multi-task SAR Image Processing via GAN-based Unsupervised Manipulation
Process Network Models for Embedded System Design Based on the Real-Time BIP Execution Engine
Adaptive Non-Uniform Timestep Sampling for Diffusion Model Training
Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization
Heat kernel coupling for multiple graph analysis
The Langevin Monte Carlo algorithm in the non-smooth log-concave case
Splitting Schemes for Some Second-Order Evolution Equations
Defect-Aware Physics-Based Compact Model for Ferroelectric nvCap: From TCAD Calibration to Circuit Co-Design
FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction
Infinite Width Graph Neural Networks for Node Regression/ Classification
Predicting Social Media Engagement from Emotional and Temporal Features
Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems
Class Invariants: Concepts, Problems, Solutions
A Deceptively Simple Quadratic Recurrence
Act as a Honeytoken Generator! An Investigation into Honeytoken Generation with Large Language Models
Mirror Descent and Novel Exponentiated Gradient Algorithms Using Trace-Form Entropies and Deformed Logarithms
Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey
Large-Scale Stochastic Learning using GPUs
The Dutch's Real World Financial Institute: Introducing Quantum-Like Bayesian Networks as an Alternative Model to deal with Uncertainty
Learning Protein-Ligand Binding in Hyperbolic Space
What is unethical about software? User perceptions in the Netherlands
Neural Signal Compression using RAMAN tinyML Accelerator for BCI Applications
Clustering Validation with The Area Under Precision-Recall Curves
CODS : A Theoretical Model for Computational Design Based on Design Space
Stochastic Event Generation Through Markovian Jumps: Generalized Distribution and Minimal Representations
Robust Low-Rank LCMV Beamforming Algorithms Based on Joint Iterative Optimization Strategies
Reconstructing the shape and material parameters of dissipative obstacles using an impedance model
Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery
Differentially Private Counterfactuals via Functional Mechanism
A Fast Foveated Fully Convolutional Network Model for Human Peripheral Vision
Inducing Riesz and orthonormal bases in L 2 via composition operators
A generic approach for reactive stateful mitigation of application failures in distributed robotics systems deployed with Kubernetes
Unveiling Challenges for LLMs in Enterprise Data Engineering
A Bootstrap Approach to Automatically Generating Lexical Transfer Rules
Simulation of Random LR Fuzzy Intervals
Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity
Tunable Trajectory Planner Using G3 Curves
DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving
Complexity theory of orbit closure intersection for tensors: reductions, completeness, and graph isomorphism hardness
DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation
You Need Reasoning to Learn Reasoning: The Limitations of Label-Free RL in Weak Base Models
Boosting the Accuracy of Finite Difference Schemes via Optimal Time Step Selection and Non-Iterative Defect Correction
Information-Theoretic Measures of Dataset Difficulty
Network Participation and Accessibility of Proof-of-Stake (PoS) Blockchains: A Cross-platform Comparative Analysis
Incremental Object Detection with Prompt-based Methods
Ranking Unit Squares with Few Visibilities
The randomized Milstein scheme for stochastic Volterra integral equations with weakly singular kernels
Design of Reversible Random Access Memory
On the Interplay between Incentive Compatibility and Envy Freeness
Interlocking editorship. A network analysis of the links between economic journals
Causal Inference from Slowly Varying Nonstationary Processes
Toward Scalable Generative AI via Mixture of Experts in Mobile Edge Networks
Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion
Decentralized Stochastic Proximal Gradient Descent with Variance Reduction over Time-varying Networks
Composing Molecules with Multiple Property Constraints
Retrieval Augmented Learning: A Retrial-based Large Language Model Self-Supervised Learning and Autonomous Knowledge Generation
Injecting Bias in Text-To-Image Models via Composite-Trigger Backdoors
MiningGPT - A Domain-Specific Large Language Model for the Mining Industry
On the Secrecy Enhancement of an Integrated Ground-Aerial Network with a Hybrid FSO/THz Feeder Link
Building Variable-sized Models via Learngene Pool
Object Tracking by Least Spatiotemporal Searches
Population Fluctuation Promotes Cooperation in Networks
Parallel BioScape: A Stochastic and Parallel Language for Mobile and Spatial Interactions
Learning to Ask for Data-Efficient Event Argument Extraction
Recognizing Leaf Powers and Pairwise Compatibility Graphs is NP-Complete
Conditioning Trick for Training Stable GANs
Uncoupled Learning Rules for Seeking Equilibria in Repeated Plays: An Overview
Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion
On two Algorithmic Problems about Synchronizing Automata
Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor
Mutual Learning for Acoustic Matching and Dereverberation via Visual Scene-driven Diffusion
Automated Software Vulnerability Patching using Large Language Models
Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Image Generation
Explorations on high dimensional landscapes
The University of Texas at Dallas HLTRI's Participation in EPIC-QA: Searching for Entailed Questions Revealing Novel Answer Nuggets
A Probabilistic Approach for Learning Folksonomies from Structured Data
Towards Real-Time Action Recognition on Mobile Devices Using Deep Models
Lagrangian Decomposition based Multi Agent Model Predictive Control for Electric Vehicles Charging integrating Real Time Pricing
Variational autoencoders understand knot topology
A note on groups of a family of hyperbolic tessellations
Probabilistic Meshless Methods for Partial Differential Equations and Bayesian Inverse Problems
Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise
Planning with Reasoning using Vision Language World Model
Mitigating xApp conflicts for efficient network slicing in 6G O-RAN: a graph convolutional-based attention network approach
GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution
A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm
Robust and Fast Measure of Information via Low-rank Representation
The E-Rocket: Low-cost Testbed for TVC Rocket GNC Validation
Predicting Multitasking in Manual and Automated Driving with Optimal Supervisory Control
Cost-Driven Hardware-Software Co-Optimization of Machine Learning Pipelines
Textually Guided Ranking Network for Attentional Image Retweet Modeling
Single Machine Weighted Number of Tardy Jobs Minimization With Small Weights
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving
A Pattern Sequence for Designing Blockchain-Based Healthcare Information Technology Systems
Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models
Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE
IA Para el Mantenimiento Predictivo en Canteras: Modelado
A Cryptography Inspired Model for Non-local Correlations: Decrypting the Enigmas
Functionally-fitted energy-preserving methods for solving oscillatory nonlinear Hamiltonian systems
A Priori Error Estimates of a Discontinuous Galerkin Finite Element Method for the Kelvin-Voigt Viscoelastic Fluid Motion Equations
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms
A Precise High-Dimensional Asymptotic Theory for Boosting and Min-L1-Norm Interpolated Classifiers
INDoRI: Indian Dataset of Recipes and Ingredients and its Ingredient Network
Riccati ADI: Existence, uniqueness and new iterative methods
Skeletons Speak Louder than Text: A Motion-Aware Pretraining Paradigm for Video-Based Person Re-Identification
StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization
Short-Message Communication and FIR System Identification using Huffman Sequences
On Realizations of a Joint Degree Matrix
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing
Reangle-A-Video: 4D Video Generation as Video-to-Video Translation
Shaken or Stirred? An Analysis of MetaFormer's Token Mixing for Medical Imaging
A Game Characterization for Contrasimilarity
Can MLLMs Detect Phishing? A Comprehensive Security Benchmark Suite Focusing on Dynamic Threats and Multimodal Evaluation in Academic Environments
TrueAdapt: Learning Smooth Online Trajectory Adaptation with Bounded Jerk, Acceleration and Velocity in Joint Space
Towards Tight Bounds on Theta-Graphs
Towards Semantic 3D Hand-Object Interaction Generation via Functional Text Guidance
A Visibility Graph Averaging Aggregation Operator
Controllability of Bandlimited Graph Processes Over Random Time-Varying Graphs
Optimized Asynchronous Passive Multi-Channel Discovery of Beacon-Enabled Networks
The Jevons Paradox In Cloud Computing: A Thermodynamics Perspective
Revisiting Information Cascades in Online Social Networks
Exploring How LLMs Capture and Represent Domain-Specific Knowledge
QTC3D: Extending the Qualitative Trajectory Calculus to Three Dimensions
Zoom-In-to-Check: Boosting Video Interpolation via Instance-level Discrimination
Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training
Improved Multiscale Vision Transformers for Classification and Detection
Enhancing Exploration Efficiency using Uncertainty-Aware Information Prediction
Synthetic Data Generation in Cybersecurity: A Comparative Analysis
Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task
Learning from i.i.d. data under model miss-specification
Proactive Location-Based Scheduling of Delay-Constrained Traffic Over Fading Channels
Event-based Solutions for Human-centered Applications: A Comprehensive Review
Aggregation and Data Driven Identification of Building Thermal Dynamic Model and Unmeasured Disturbance
Bridging the Dimensional Chasm: Uncover Layer-wise Dimensional Reduction in Transformers through Token Correlation
Who is Looking at Whom? Visualizing Gaze Awareness for Remote Small-Group Conversations
Detecting sudden and gradual drifts in business processes from execution traces
DeepTV: A neural network approach for total variation minimization
Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing
Effective Aesthetics Prediction with Multi-level Spatially Pooled Features
Geometric Convergence of Distributed Heavy-Ball Nash Equilibrium Algorithm over Time-Varying Digraphs with Unconstrained Actions
Truly Concurrent Calculi with Reversibility, Probabilism and Guards
On surjectivity and dynamical properties of dill maps
Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture
Qualitative dynamics of chemical reaction networks: an investigation using partial tropical equilibrations
Optimizing Large Language Models for Dynamic Constraints through Human-in-the-Loop Discriminators
TGP: Two-modal occupancy prediction with 3D Gaussian and sparse points for 3D Environment Awareness
DeCom: Deep Coupled-Factorization Machine for Post COVID-19 Respiratory Syncytial Virus Prediction with Nonpharmaceutical Interventions Awareness
Parametric Synthesis of Text on Stylized Backgrounds using PGGANs
Feature Selection Convolutional Neural Networks for Visual Tracking
Revisiting Table Detection Datasets for Visually Rich Documents
Are Time Series Foundation Models Susceptible to Catastrophic Forgetting?
Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
Towards Intelligent Robotic Process Automation for BPMers
Open-Endedness is Essential for Artificial Superhuman Intelligence
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration
Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles
Client-Side Patching against Backdoor Attacks in Federated Learning
A Question Answering Approach to Emotion Cause Extraction
Effective Sub-clonal Cancer Representation to Predict Tumor Evolution
Improving Image Classification Robustness through Selective CNN-Filters Fine-Tuning
Modelling Developable Ribbons Using Ruling Bending Coordinates
Randomised Bayesian Least-Squares Policy Iteration
TextureGAN: Controlling Deep Image Synthesis with Texture Patches
CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine Learning Models
An empirical study of CTC based models for OCR of Indian languages
Gradient-enhanced multifidelity neural networks for high-dimensional function approximation
The Weighted Sum Rate Maximization in MIMO Interference Networks: The Minimax Lagrangian Duality and Algorithm
Microfluidic Pulse Shaping Methods for Molecular Communications
Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
Empirical Comparison of Forgetting Mechanisms for UCB-based Algorithms on a Data-Driven Simulation Platform
Non-separating spanning trees and out-branchings in digraphsof independence number 2
A Closer Look at Scoring Functions and Generalization Prediction
Secure Transmission of Sensitive data using multiple channels
Aligning Multiclass Neural Network Classifier Criterion with Task Performance via F β -Score
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction
TopoNets: High Performing Vision and Language Models with Brain-Like Topography
Detecting post-stroke aphasia using EEG-based neural envelope tracking of natural speech
Distance-Based Network Partitioning
A Defect Taxonomy for Infrastructure as Code: A Replication Study
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report
Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data
Agent-based simulations of emotion spreading in online social networks
Choreography Synthesis as Contract Agreement
Inverse Modeling of Complex Interactive Behavior with ABC
The Clever Hans Effect in Unsupervised Learning
NS-Pep: De novo Peptide Design with Non-Standard Amino Acids
Asymptotic Mean Time To Failure and Higher Moments for Large, Recursive Networks
Time-Based CAN Intrusion Detection Benchmark
A Robotic Framework for Making Eye Contact with Humans
The Issue-Adjusted Ideal Point Model
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
Interpreting Graph-based Sybil Detection Methods as Low-Pass Filtering
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
Graph Neural Networks in Wind Power Forecasting
Exploration of Heterogeneous Data Using Robust Similarity
Distributed Multi-Agent Bandits Over Erdős-Rényi Random Networks
IDEA:Enhancing the Rule Learning Ability of Language Agents through Induction, Deduction, and Abduction
A first look at COVID-19 information and misinformation sharing on Twitter
A Multi-Service Oriented Multiple-Access Scheme For M2M Support in Future LTE
MXDAG: A Hybrid Abstraction for Cluster Applications
New Conditions for Sparse Phase Retrieval
GloSoFarID: Global multispectral dataset for Solar Farm IDentification in satellite imagery
OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models
Vibrotactile Signal Generation from Texture Images or Attributes using Generative Adversarial Network