yusuke1997/dblp-id-title huggingface dataset:
Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud
Space Efficient Algorithms for Parameterised Problems
Steady-State Rate-Optimal Power Adaptation in Energy Harvesting Opportunistic Cognitive Radios with Spectrum Sensing and Channel Estimation Errors
Do Language Embeddings Capture Scales?
A nonparametric framework for inferring orders of categorical data from category-real ordered pairs
Reproducibility, Replicability, and Transparency in Research: What 430 Professors Think in Universities across the USA and India
On the numerical solution of Volterra integral equations on equispaced nodes
Raising AI Ethics Awareness through an AI Ethics Quiz for Software Practitioners
Do neutrons publish? A neutron publication survey 2005-2015
A Novel Framework for Online Amnesic Trajectory Compression in Resource-constrained Environments
Federated Bayesian Computation via Piecewise Deterministic Markov Processes
Overloaded Multiuser MISO Transmission with Imperfect CSIT
Outage-Limit-Approaching Protograph LDPC Codes for Slow-Fading Wireless Communications
Construction of confidence interval for a univariate stock price signal predicted through Long Short Term Memory Network
Adaptive time integration of mechanical forces in center-based models for biological cell populations
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Impact of geolocation data on augmented reality usability: A comparative user test
Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version)
Online SOC Estimation of Lithium-ion Battery Based on Improved Adaptive H Infinity Extended Kalman Filter
Additive word complexity and Walnut
Visual Style Prompting with Swapping Self-Attention
Online Trading Models in the Forex Market Considering Transaction Costs
Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen
A back-end, CMOS compatible ferroelectric Field Effect Transistor for synaptic weights
Signal Space Alignment for an Encryption Message and Successive Network Code Decoding on the MIMO K-way Relay Channel
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model
ParallelMuse: Agentic Parallel Thinking for Deep Information Seeking
Exploring the Usage of Chinese Pinyin in Pretraining
Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek
Adaptive Robot Assistance: Expertise and Influence in Multi-User Task Planning
ProsoSpeech: Enhancing Prosody With Quantized Vector Pre-training in Text-to-Speech
Adaptive Combination of l0 LMS Adaptive Filters for Sparse System Identification in Fluctuating Noise Power
Cerberus: Efficient Inference with Adaptive Parallel Decoding and Sequential Knowledge Enhancement
Boosting the Basic Counting on Distributed Streams
Abstraction Logic: The Marriage of Contextual Refinement and Separation Logic
Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures
MSSP : A Versatile Multi-Scenario Adaptable Intelligent Robot Simulation Platform Based on LIDAR-Inertial Fusion
Trusting CHATGPT: how minor tweaks in the prompts lead to major differences in sentiment classification
Relay Pair Selection with Source Precoding in Buffer-Aided Successive Opportunistic Relaying
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
On local equilibrium equations for clustering states
Explainability for Machine Learning Models: From Data Adaptability to User Perception
Socially-Informed Content Analysis of Online Human Behavior
Analysis of Reference and Citation Copying in Evolving Bibliographic Networks
Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning
Shape-from-Mask: A Deep Learning Based Human Body Shape Reconstruction from Binary Mask Images
Bayesian Deep Learning Approach for Real-time Lane-based Arrival Curve Reconstruction at Intersection using License Plate Recognition Data
On Line Sum Optimization
Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis
Diffusion-Based Hypothesis Testing and Change-Point Detection
Skeletonisation Algorithms for Unorganised Point Clouds with Theoretical Guarantees
Domain Generalization via Pareto Optimal Gradient Matching
MirrorNeRF: One-shot Neural Portrait RadianceField from Multi-mirror Catadioptric Imaging
Exploring the Distribution Regularities of User Attention and Sentiment toward Product Aspects in Online Reviews
Adaptive High-Order A-WENO Schemes Based on a New Local Smoothness Indicator
Utilizing Autoregressive Networks for Full Lifecycle Data Generation of Rolling Bearings for RUL Prediction
Overfitting in Synthesis: Theory and Practice (Extended Version)
Machine Learning Research Towards Combating COVID-19: Virus Detection, Spread Prevention, and Medical Assistance
The Data Sharing Paradox of Synthetic Data in Healthcare
Information Retrieval via Truncated Hilbert-Space Expansions
Bayesian Pitch Tracking Based on the Harmonic Model
The 1995-2018 Global Evolution of the Network of Amicable and Hostile Relations Among Nation-States
A correlational analysis of multiagent sensorimotor interactions: clustering autonomous and controllable entities
An Image Segmentation Model Based on a Variational Formulation
Extrapolated DIscontinuity Tracking for complex 2D shock interactions
What Causes Exceptions in Machine Learning Applications? Mining Machine Learning-Related Stack Traces on Stack Overflow
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data
Driving CDCL Search
An Investigation of Interpretability Techniques for Deep Learning in Predictive Process Analytics
Isbell Duality for Refinement Types
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training
On the denotational semantics of Linear Logic with least and greatest fixed points of formulas
SVM and Dimensionality Reduction in Cognitive Radio with Experimental Validation
Identification of a time-varying SIR Model for Covid-19
Activity Recognition Using A Combination of Category Components And Local Models for Video Surveillance
Optimal Repair Schemes for Some Families of Full-Length Reed-Solomon Codes
Automated code generation for discontinuous Galerkin methods
Unidentified Floating Object detection in maritime environment using dictionary learning
Event-based Stereo Visual Odometry
Performance Analysis for Bandwidth Allocation in IEEE 802.16 Broadband Wireless Networks using BMAP Queueing
DC-Al GAN: Pseudoprogression and True Tumor Progression of Glioblastoma multiform Image Classification Based On DCGAN and Alexnet
Linear Sum Capacity for Gaussian Multiple Access Channels with Feedback
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
The Relationship Between Time and Distance Perception in Egocentric and Discrete Virtual Locomotion (Teleportation)
Some Observations on A Posteriori Error Estimation for Maxwell Equations
Towards Cereceda's conjecture for planar graphs
Comparison of Binary Classification Based on Signed Distance Functions with Support Vector Machines
Optical Braille Recognition using Circular Hough Transform
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth Measure
On consistency of determinants on cubic lattices
SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning
Towards a general model for psychopathology
An integrated perspective of robustness in regression through the lens of the bias-variance trade-off
Stable training of autoencoders for hyperspectral unmixing
Multitask Emotion Recognition Model with Knowledge Distillation and Task Discriminator
Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning
Tailored Transformation Invariance for Industrial Anomaly Detection
Event-centric Query Suggestion for Online News
Multi-Queue SSD I/O Modeling & Its Implications for Data Structure Design
Z2Z4-linear codes: rank and kernel
On basis images for the digital image representation
Learning Sparse and Continuous Graph Structures for Multivariate Time Series Forecasting
Edited Media Understanding: Reasoning About Implications of Manipulated Images
Cascaded Volumetric Convolutional Network for Kidney Tumor Segmentation from CT volumes
An Optimal Multiple-Class Encoding Scheme for a Graph of Bounded Hadwiger Number
Othello is Solved
NOMA: An Information Theoretic Perspective
How well developed are Altmetrics? Cross-disciplinary analysis of the presence of alternative metrics in scientific publications?
Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering
Radio Map Prediction from Aerial Images and Application to Coverage Optimization
The implementation and optimization of Bitonic sort algorithm based on CUDA
Performance Analysis of Ambient RF Energy Harvesting: A Stochastic Geometry Approach
Predicting Treatment Response in Body Dysmorphic Disorder with Interpretable Machine Learning
On homomorphism of oriented graphs with respect to push operation
Automated Feedback Loops to Protect Text Simplification with Generative AI from Information Loss
Algorithmic Problems for Computation Trees
A Dual Digraph Approach for Leaderless Atomic Broadcast (Extended Version)
The Levers of Political Persuasion with Conversational AI
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition
FLIMs: Fault Localization Interference Mutants, Definition, Recognition and Mitigation
An Interpretability-Guided Framework for Responsible Synthetic Data Generation in Emotional Text
Efficient Parallel-in-Time Solution of Time-Periodic Problems Using a Multi-Harmonic Coarse Grid Correction
Exposing Vulnerabilities in RL: A Novel Stealthy Backdoor Attack through Reward Poisoning
Self-explaining Neural Network with Plausible Explanations
Deconstructing deep active inference
Semantic Layout Manipulation with High-Resolution Sparse Attention
Online Object Representations with Contrastive Learning
Cooperative Motion Planning for Non-Holonomic Agents with Value Iteration Networks
A Sum-Product Model as a Physical Basis for Shadow Fading
A Review of the Marathi Natural Language Processing
Deep Learning Schema-based Event Extraction: Literature Review and Current Trends
Weighted Clustering Ensemble: A Review
Deep learning for inverse problems with unknown operator
Performance Analysis of Decentralized Federated Learning Deployments
A simple efficient density estimator that enables fast systematic search
Real-Time Sign Language to text Translation using Deep Learning: A Comparative study of LSTM and 3D CNN
Language Model Mapping in Multimodal Music Learning: A Grand Challenge Proposal
Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time
How Does the Pretraining Distribution Shape In-Context Learning? Task Selection, Generalization, and Robustness
Using Generative Artificial Intelligence Creatively in the Classroom: Examples and Lessons Learned
On the Complexity of Approximating Wasserstein Barycenter
Designing Deep Networks for Surface Normal Estimation
Asynchronous Physical-layer Network Coding
'PeriHack': Designing a Serious Game for Cybersecurity Awareness
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning
Analyzing Fitts' Law using Offline and Online Optimal Control with Motor Noise
Pattern Recognition and Memory Mapping using Mirroring Neural Networks
Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users
Complexity of Training ReLU Neural Network
Fast emulation of cosmological density fields based on dimensionality reduction and supervised machine-learning
Correlations Between COVID-19 and Dengue
Applying Normalization Process Theory to Explain Large-Scale Agile Transformations
Increasing the Efficiency of Photovoltaic Systems by Using Maximum Power Point Tracking (MPPT)
Enhancing expressivity of checked corecursive streams (extended version)
Evolution of Digital Advertising Strategies during the 2020 US Presidential Primary
Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric
Exploratory Study Of Human-AI Interaction For Hindustani Music
Secure Outage Analysis of RIS-Assisted Communications with Discrete Phase Control
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming
Learning via nonlinear conjugate gradients and depth-varying neural ODEs
Studying the Korean Word-Chain Game with RLVR: Mitigating Reward Conflicts via Curriculum Learning
Improving Low-resource Reading Comprehension via Cross-lingual Transposition Rethinking
A Modified Trapezoidal Rule for a Class of Weakly Singular Integrals in n Dimensions
Smallest graphs achieving the Stinson bound
Product Manifold Representations for Learning on Biological Pathways
We need to aim at the top: Factors associated with cybersecurity awareness of cyber and information security decision-makers
Minimum Structural Sensor Placement for Switched Linear Time-Invariant Systems and Unknown Inputs
Software Architecture and Subclassing Technique for Semiconductor Manufacturing Machines
CriteoPrivateAd: A Real-World Bidding Dataset to Design Private Advertising Systems
Barriers to Healthcare: Agent-Based Modeling to Mitigate Inequity
Classification of Things in DBpedia using Deep Neural Networks
Clustered Federated Learning with Hierarchical Knowledge Distillation
Studying Large Language Model Behaviors Under Realistic Knowledge Conflicts
Language models are robotic planners: reframing plans as goal refinement graphs
Hypergraph-Based Analysis of Clustered Cooperative Beamforming with Application to Edge Caching
SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data
SegDiff: Image Segmentation with Diffusion Probabilistic Models
Visualising Argumentation Graphs with Graph Embeddings and t-SNE
Space-Bounded Communication Complexity of Unitaries
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies
Improving Cardiac Risk Prediction Using Data Generation Techniques
Towards an objective characterization of an individual's facial movements using Self-Supervised Person-Specific-Models
A Survey of Pre-trained Language Models for Processing Scientific Text
Balanced Sparsest Generator Matrices for MDS Codes
Positive concave deep equilibrium models
Richer priors for infinitely wide multi-layer perceptrons
A New Optimization Layer for Real-Time Bidding Advertising Campaigns
Simple Modal Types for Functional Reactive Programming
Construction and implementation of asymptotic expansions for Laguerre-type orthogonal polynomials
Dynamic Gait Modelling of Lower Limb Dynamics : A Mathematical Approach
Improving Underwater Acoustic Classification Through Learnable Gabor Filter Convolution and Attention Mechanisms
Sound Search in Imperfect Information Games
Efficient Single Object Detection on Image Patches with Early Exit Enhanced High-Precision CNNs
Beyond pairwise network similarity: exploring Mediation and Suppression between networks
Characterizing how 'distributional' NLP corpora distance metrics are
A Unified Framework to Super-Resolve Face Images of Varied Low Resolutions
Monoids and Maximal Codes
A general approach to enhance the survivability of backdoor attacks by decision path coupling
Dataset of Spatial Room Impulse Responses in a Variable Acoustics Room for Six Degrees-of-Freedom Rendering and Analysis
Optimizing Mentor-Student Communication with Symbolic Design for Message States
Understanding Spatial Robustness of Deep Neural Networks
KnowCoder-V2: Deep Knowledge Analysis
System of Lane-Emden equations as IVPs BVPs and Four Point BVPs & Computation with Haar Wavelets
Online Calibrated Regression for Adversarially Robust Forecasting
Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition
ARIONet: An Advanced Self-supervised Contrastive Representation Network for Birdsong Classification and Future Frame Prediction
Multiscale Universal Interface: A Concurrent Framework for Coupling Heterogeneous Solvers
A Massively-Parallel 3D Simulator for Soft and Hybrid Robots
A nonlinear thermomechanical formulation for anisotropic volume and surface continua
Physics-informed neural networks with residual/gradient-based adaptive sampling methods for solving PDEs with sharp solutions
Structure-Based Molecule Optimization via Gradient-Guided Bayesian Update
ARAC: Adaptive Regularized Multi-Agent Soft Actor-Critic in Graph-Structured Adversarial Games
Recurrent Dynamic Message Passing with Loops for Epidemics on Networks
MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning
Iterative Matching Point
A Constraint Scheme for Correcting Asymmetric Magnitude-1 Errors in q-ary Channels
Multi-Lingual Cyber Threat Detection in Tweets/X Using ML, DL, and LLM: A Comparative Analysis
A Survey of 6G Wireless Communications: Emerging Technologies
Defining Computer Art: Methods, Themes, and the Aesthetic Problematic
Instance-Dependent PU Learning by Bayesian Optimal Relabeling
Visual Guitar Tab Comparison
Eigenvector localization as a tool to study small communities in online social networks
Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil
On Vanishing of Gromov-Witten Invariants
Wireless Image Transmission with Semantic and Security Awareness
Fried deconvolution
A Deterministic Polynomial Space Construction for eps-nets under any Norm
Superior generalization of smaller models in the presence of significant label noise
GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models
Quantitative probing: Validating causal models using quantitative domain knowledge
Regularized K-means through hard-thresholding
Calculating Nash equilibrium and Nash bargaining solution on quantum annealers
Applying Transparent Shaping for Zero Trust Architecture Implementation in AWS: A Case Study
Consenting to Internet of Things Across Different Social Settings
Synthesis of Quantum Vector Databases Based on Grovers Algorithm
ForestSplats: Deformable transient field for Gaussian Splatting in the Wild
FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
Can Copulas Be Used for Feature Selection? A Machine Learning Study on Diabetes Risk Prediction
On the Computation of the Algebraic Closure of Finitely Generated Groups of Matrices
Fast Template Matching by Subsampled Circulant Matrix
Indexing Operators to Extend the Reach of Symbolic Execution
Premonition Net, A Multi-Timeline Transformer Network Architecture Towards Strawberry Tabletop Yield Forecasting
Continuous-time performance limitations for overshoot and resulted tracking measures
Rigorous computer analysis of the Chow-Robbins game
RSSI Fingerprinting-based Localization Using Machine Learning in LoRa Networks
Vector Quantization for Recommender Systems: A Review and Outlook
Lossless Multi-Scale Constitutive Elastic Relations with Artificial Intelligence
Minimum-Information LQG Control - Part I: Memoryless Controllers
An Open Solution to Provide Personalized Feedback for Building Energy Management
Optimal transport for Gaussian mixture models
Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report)
Look-and-Twist: A Simple Selection Method for Virtual and Augmented Reality
A Practical Approach to expressing digitally signed documents
Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study
Privacy-Preserving Federated Unlearning with Certified Client Removal
Advancing Image-Based Grapevine Variety Classification with a New Benchmark and Evaluation of Masked Autoencoders
Combating Uncertainty and Class Imbalance in Facial Expression Recognition
Wave Propagation of Visual Stimuli in Focus of Attention
Indoor Information Retrieval using Lifelog Data
Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data
Equilibrium Adaptation-Based Control for Track Stand of Single-Track Two-Wheeled Robots
ChronoDreamer: Action-Conditioned World Model as an Online Simulator for Robotic Planning
T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing
Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology
MagiCodec: Simple Masked Gaussian-Injected Codec for High-Fidelity Reconstruction and Generation
Taming Stable Diffusion for Text to 360{\deg} Panorama Image Generation
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
Deepfake Image Generation for Improved Brain Tumor Segmentation
Asynchronous Operations on Qubits in Distributed Simulation Environments using QooSim
SORTAD: Self-Supervised Optimized Random Transformations for Anomaly Detection in Tabular Data
Data augmentation for the POD formulation of the parametric laminar incompressible Navier-Stokes equations
Semantic Model Component Implementation for Model-driven Semantic Communications
MiniCPS: A toolkit for security research on CPS Networks
Neural Computing for Online Arabic Handwriting Character Recognition using Hard Stroke Features Mining
Six Potential Game-Changers in Cyber Security: Towards Priorities in Cyber Science and Engineering
A Unified Approach to 3 Basic Challenges in Shared Autonomy
Comprehensive Modeling of Three-Phase Distribution Systems via the Bus Admittance Matrix
Mutual Wanting in Human-AI Interaction: Empirical Evidence from Large-Scale Analysis of GPT Model Transitions
A note on the article "On Exploiting Spectral Properties for Solving MDP with Large State Space"
Sensemaking in Novel Environments: How Human Cognition Can Inform Artificial Agents
Phase Noise Influence in Long-range Coherent Optical OFDM Systems with Delay Detection, IFFT Multiplexing and FFT Demodulation
SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers
Optimal Rates in Continual Linear Regression via Increasing Regularization
Celebrity Profiling on Short Urdu Text using Twitter Followers' Feed
Longest segment of balanced parentheses - an exercise in program inversion in a segment problem (Functional Pearl)
Machine Learning Methods for User Positioning With Uplink RSS in Distributed Massive MIMO
Deep-learning to Predict Perceived Differences to a Hidden Reference Image
Robin-Dirichlet alternating iterative procedure for solving the Cauchy problem for Helmholtz equation in an unbounded domain
A study of the classification of low-dimensional data with supervised manifold learning
Computation- and Space-Efficient Implementation of SSA
Power System Dynamics as Primal-Dual Algorithm for Optimal Load Control
HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language Model
Control of Scanning Quantum Dot Microscopy
Hypergraph p-Laplacian regularization on point clouds for data interpolation
IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations
Onboard Flight Control of a Small Quadrotor Using Single Strapdown Optical Flow Sensor
Ag-dependent (in silico) approach implies a deterministic kinetics for homeostatic memory cell turnover
Insight Rumors: A Novel Textual Rumor Locating and Marking Model Leveraging Att_BiMamba2 Network
DBkWik++ - Multi Source Matching of Knowledge Graphs