yusuke1997/dblp-id-title huggingface dataset:
MGen: Millions of Naturally Occurring Generics in Context
CatBoost Versus XGBoost and LightGBM: Developing Enhanced Predictive Models for Zero-Inflated Insurance Claim Data
RCNet: ΔΣ IADCs as Recurrent AutoEncoders
Inspiration or Preparation? Explaining Creativity in Scientific Enterprise
Extremum Global Sensitivity Analysis with Least Squares Polynomials and their Ridges
A Data-driven Approach Towards Human-robot Collaborative Problem Solving in a Shared Space
Learning to Compare Image Patches via Convolutional Neural Networks
A Collectivist, Economic Perspective on AI
On a class of multi-fidelity methods for the semiclassical Schrödinger equation with uncertainties
A Holistic Architecture for Monitoring and Optimization of Robust Multi-Agent Path Finding Plan Execution
The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development
An Algorithm for Streaming Differentially Private Data
A-Discriminants for Complex Exponents and Counting Real Isotopy Types
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
POEMS: Product of Experts for Interpretable Multi-omic Integration using Sparse Decoding
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning
Realistic threat perception drives intergroup conflict: A causal, dynamic analysis using generative-agent simulations
Space-Efficient Quantum Error Reduction without log Factors
Like-for-like bibliometric substitutes for peer review: advantages and limits of indicators calculated from the ep index
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models
Proximal and Contraction method with Relaxed Inertial and Correction Terms for Solving Mixed Variational Inequality Problems
Cyber Resilience in IoT network: Methodology and example of assessment through epidemic spreading
Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
Multi-Content Time-Series Popularity Prediction with Multiple-Model Transformers in MEC Networks
Underwater Image Enhancement via Learning Water Type Desensitized Representations
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
EmoDiffTalk:Emotion-aware Diffusion for Editable 3D Gaussian Talking Head
Hybrid PUF: A Novel Way to Enhance the Security of Classical PUFs
What Do We Understand About Convolutional Networks?
Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain
Leveraging Adaptive Implicit Representation Mapping for Ultra High-Resolution Image Segmentation
Developing courses with HoloRena, a framework for scenario- and game based e-learning environments
Double-Side Near-Field Channel Estimation for Extremely Large-Scale MIMO System
The Rise of AI-Driven Simulators: Building a New Crystal Ball
Social Live-Streaming Use & Well-being: Examining Participation, Financial Commitment, Social Capital, and Psychological Well-being on Twitch.tv
Nonparametric Feature Selection by Random Forests and Deep Neural Networks
SentiQNF: A Novel Approach to Sentiment Analysis Using Quantum Algorithms and Neuro-Fuzzy Systems
An ocean front detection and tracking algorithm
BestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning
A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned during the Microchip Design
Quantum Time-Space Tradeoffs for Sorting
The Isoline Tracking in Unknown Scalar Fields with Concentration Feedback
Linear and Sublinear Time Spectral Density Estimation
An empirical study on the effects of different types of noise in image classification tasks
Challenges of Convex Quadratic Bi-objective Benchmark Problems
Weight Pruning via Adaptive Sparsity Loss
Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization
AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose
On the Design of Strategic Task Recommendations for Sustainable Crowdsourcing-Based Content Moderation
Online Fake Review Detection Using Supervised Machine Learning And BERT Model
A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning
Witness-Functions versus Interpretation-Functions for Secrecy in Cryptographic Protocols: What to Choose?
Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization
A survey on trajectory clustering analysis
MFmamba: A Multi-function Network for Panchromatic Image Resolution Restoration Based on State-Space Model
Light and Accurate: Neural Architecture Search via Two Constant Shared Weights Initialisations
Improved randomized selection
Do 'altmetric mentions' follow Power Laws? Evidence from social media mention data in Altmetric.com
DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models
NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction
Cross-Architecture Knowledge Distillation (KD) for Retinal Fundus Image Anomaly Detection on NVIDIA Jetson Nano
Federated Intrusion Detection System Based on Unsupervised Machine Learning
Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning
Estimation of Source and Receiver Positions, Room Geometry and Reflection Coefficients From a Single Room Impulse Response
Non-negative isomorphic neural networks for photonic neuromorphic accelerators
Bounds on the Average Sensitivity of Nested Canalizing Functions
Polar Coding for the Large Hadron Collider: Challenges in Code Concatenation
Filter based Taxonomy Modification for Improving Hierarchical Classification
A Taxonomy-Driven Case Study of Australian Web Resources Against Technology-Facilitated Abuse
Structural Optimal Jacobian Accumulation and Minimum Edge Count are NP-Complete Under Vertex Elimination
Data-Driven Assessment of Concrete Slab Integrity via Impact-Echo Signals and Neural Networks
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision
A Data-Structure for Approximate Longest Common Subsequence of A Set of Strings
Bayesian Anomaly Detection Using Extreme Value Theory
Monocular Facial Appearance Capture in the Wild
Synthesising a Database of Parameterised Linear and Non-Linear Invariants for Time-Series Constraints
Mathematical Properties of the Zadoff-Chu Sequences
Augmented Reality Implementation Methods in Mainstream Applications
Learning Autonomous Surgical Irrigation and Suction with the da Vinci Research Kit Using Reinforcement Learning
Towards Full Automated Drive in Urban Environments: A Demonstration in GoMentum Station, California
Enhanced Anime Image Generation Using USE-CMHSA-GAN
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?
CSF: Fixed-outline Floorplanning Based on the Conjugate Subgradient Algorithm Assisted by Q-Learning
MeLA: A Metacognitive LLM-Driven Architecture for Automatic Heuristic Design
MiSuRe is all you need to explain your image segmentation
Analyzing School Shootings in the US with Statistical Learning
Identity Signals in Emoji Do not Influence Perception of Factual Truth on Twitter
Attacking with bitcoin: Using Bitcoin to Build Resilient Botnet Armies
Automated Spreadsheet Development
Self-Healing Algorithms for Byzantine Faults
An Empirical Study on Bug Severity Estimation Using Source Code Metrics and Static Analysis
Cluster-Based Control of Transition-Independent MDPs
Bayesian Subspace Identification in the MIMO Case
Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis
Invertible Low-Dimensional Modelling of X-ray Absorption Spectra for Potential Applications in Spectral X-ray Imaging
The Case for "Thick Evaluations" of Cultural Representation in AI
The opaque square
A Polynomial-Time Algorithm and Applications for Matrix Sampling from Harish-Chandra-Itzykson-Zuber Densities
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
Load-Flow Solvability under Security Constraints in DC Distribution Networks
Some results on Vertex Separator Reconfiguration
A Neuro-Fuzzy Approach for Modelling Electricity Demand in Victoria
Asynchronous Distributed Execution Of Fixpoint-Based Computational Fields
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation
Prototype-Based Pseudo-Label Denoising for Source-Free Domain Adaptation in Remote Sensing Semantic Segmentation
Latent Network Models to Account for Noisy, Multiply-Reported Social Network Data
Identifying Neural Signatures from fMRI using Hybrid Principal Components Regression
Verification of Sequential Circuits by Tests-As-Proofs Paradigm
Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings
Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities
Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization
Stable Andrews-Curtis trivialization of AK(3) revisited. A case study using automated deduction
Significance of Speaker Embeddings and Temporal Context for Depression Detection
Causal models for debugging and control in cloud computing
Dataset for predicting cybersickness from a virtual navigation task
Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples
Beyond Context: Large Language Models Failure to Grasp Users Intent
Global explanations for discovering bias in data
Signal inference with unknown response: calibration uncertainty renormalized estimator
The Tragedy of Productivity: A Unified Framework for Diagnosing Coordination Failures in Labor Markets and AI Governance
Wavelet Neural Networks versus Wavelet-based Neural Networks
Using Neural Implicit Flow To Represent Latent Dynamics Of Canonical Systems
IP Models for Minimum Zero Forcing Sets, Forts, and Related Graph Parameters
Bitwidth-Specific Logarithmic Arithmetic for Future Hardware-Accelerated Training
Maximum Likelihood Directed Enumeration Method in Piecewise-Regular Object Recognition
Bringing AI To Edge: From Deep Learning's Perspective
ULSR-GS: Ultra Large-scale Surface Reconstruction Gaussian Splatting with Multi-View Geometric Consistency
Barrier Method for Inequality Constrained Factor Graph Optimization with Application to Model Predictive Control
Attack on a PUF-based Secure Binary Neural Network
Enhancing Brain Age Estimation with a Multimodal 3D CNN Approach Combining Structural MRI and AI-Synthesized Cerebral Blood Volume Data
BasisConv: A method for compressed representation and learning in CNNs
Identification of Surface Defects on Solar PV Panels and Wind Turbine Blades using Attention based Deep Learning Model
Exploring Safety Generalization Challenges of Large Language Models via Code
Guided Policy Search as Approximate Mirror Descent
Quantum-Classical Machine learning by Hybrid Tensor Networks
Signal Use and Emergent Cooperation
The Gelfand-Pinsker Channel: Strong Converse and Upper Bound for the Reliability Function
TOUCH: Text-guided Controllable Generation of Free-Form Hand-Object Interactions
Wi-Chat: Large Language Model Powered Wi-Fi Sensing
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
Edge Transitive Ramanujan Graphs and Highly Symmetric LDPC Good Codes
Toward Immersive Communications in 6G
Efficient kernel surrogates for neural network-based regression
SliceMoE: Routing Embedding Slices Instead of Tokens for Fine-Grained and Balanced Transformer Scaling
CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbation
Peer-to-Peer and Mass Communication Effect on Revolution Dynamics
PrivyNet: A Flexible Framework for Privacy-Preserving Deep Neural Network Training with A Fine-Grained Privacy Control
Unified Pandemic Tracking System Based on Open Geospatial Consortium SensorThings API
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit
Leveraging Sidewalk Robots for Walkability-Related Analyses
Controlling Travel Path of Original Cobra
Compliant Self Service Access to Secondary Use Clinical Data at Stanford Medicine
Spanning trees and the complexity of flood-filling games
Numerical method for abstract Cauchy problem with nonlinear nonlocal condition
SA 2 Net: Scale-Adaptive Structure-Affinity Transformation for Spine Segmentation from Ultrasound Volume Projection Imaging
Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception
Large-Scale Linear Energy System Optimization: A Systematic Review on Parallelization Strategies via Decomposition
Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement
Using CycleGANs to Generate Realistic STEM Images for Machine Learning
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception
HistoWAS: A Pathomics Framework for Large-Scale Feature-Wide Association Studies of Tissue Topology and Patient Outcomes
A unifying tutorial on Approximate Message Passing
Proceedings 9th International Workshop on Automated Specification and Verification of Web Systems, WWV 2013, Florence, Italy, 6th June 2013
Resource Awareness in Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems
The Bounded Edge Coloring Problem and Offline Crossbar Scheduling
Efficient Generalization via Multimodal Co-Training under Data Scarcity and Distribution Shift
Resolution Enhancement of Range Images via Color-Image Segmentation
Dynamic financial processes identification using sparse regressive reservoir computers
Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection
Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI
Attention-Enhanced Reinforcement Learning for Dynamic Portfolio Optimization
Typesafe Coordinate Systems in High-Throughput Sequencing Applications
Constellation: An Edge-Based Semantic Runtime System for Internet of Things Applications
How User Language Affects Conflict Fatality Estimates in ChatGPT
Thresholded Basis Pursuit: Quantizing Linear Programming Solutions for Optimal Support Recovery and Approximation in Compressed Sensing
EyeLoveGAN: Exploiting domain-shifts to boost network learning with cycleGANs
A short proof of the Quantum Substate Theorem
Abstractive Text Classification Using Sequence-to-convolution Neural Networks
Gene Tree Construction and Correction using SuperTree and Reconciliation
Improving Question Answering by Commonsense-Based Pre-Training
Vicinity-Driven Paragraph and Sentence Alignment for Comparable Corpora
Approximating the solution to wave propagation using deep neural networks
Distributed Reinforcement Learning in Multi-Agent Networked Systems
Classification and Online Clustering of Zero-Day Malware
Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals
On the Cut Elimination of Weak Intuitionistic Tense Logic
Explaining Deep Learning Models using Causal Inference
Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges
The Nuclear Analogy in AI Governance Research
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
Accumulated Polar Feature based Deep Learning with Channel Compensation Mechanism for Efficient Automatic Modulation Classification under Time varying Channels
VARCO-VISION-2.0 Technical Report
Secure MIMO Relaying Network: An Artificial Noise Aided Robust Design Approach
Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects
Early Detection of Fish Diseases by Analyzing Water Quality Using Machine Learning Algorithm
Diffusion Models Meet Network Management: Improving Traffic Matrix Analysis with Diffusion-based Approach
C-OPH: Improving the Accuracy of One Permutation Hashing (OPH) with Circulant Permutations
Angular Divergent Component of Motion: A step towards planning Spatial DCM Objectives for Legged Robots
Distance Metric Learning for Kernel Machines
Machine learning in and out of equilibrium
(Approximately) Privacy-Preserving Dissection Protocols
Dependency-Based Neural Representations for Classifying Lines of Programs
Usage-based vs. Citation-based Methods for Recommending Scholarly Research Articles
A Restricted-Domain Dual Formulation for Two-Phase Image Segmentation
Masking Host Identity on Internet: Encrypted TLS/SSL Handshake
A practical method for occupational skills detection in Vietnamese job listings
Deduction under Perturbed Evidence: Probing Student Simulation Capabilities of Large Language Models
Short-term Maintenance Planning of Autonomous Trucks for Minimizing Economic Risk
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System
A Test of Lookahead Bias in LLM Forecasts
A Hybrid Model for Stock Market Forecasting: Integrating News Sentiment and Time Series Data with Graph Neural Networks
A Geometric Perspective on the Injective Norm of Sums of Random Tensors
The ASP-based Nurse Scheduling System at the University of Yamanashi Hospital
Robust personnel rostering: how accurate should absenteeism predictions be?
Uncertainty Principle and Sampling of Signals Defined on Graphs
An investigation of licensing of datasets for machine learning based on the GQM model
A Mechatronic System for the Visualisation and Analysis of Orchestral Conducting
Moirai 2.0: When Less Is More for Time Series Forecasting
TriMap: Large-scale Dimensionality Reduction Using Triplets
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study
Using Text Embeddings for Causal Inference
Worst-case Complexity of Cyclic Coordinate Descent: $O(n^2)$ Gap with Randomized Version
DyPS: Dynamic Processor Switching for Energy-Aware Video Decoding on Multi-core SoCs
Theory Foundation of Physics-Enhanced Residual Learning
Detecting unjustified assumptions in subclasses via EO representation
A criterion for Artificial General Intelligence: hypothetic-deductive reasoning, tested on ChatGPT
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge
A DeepONet joint Neural Tangent Kernel Hybrid Framework for Physics-Informed Inverse Source Problems and Robust Image Reconstruction
Fully Dynamic $(1+ε)$-Approximate Matchings
Universal optimality of T -avoiding spherical codes and designs
Optimal Bounds for Tyler's M-Estimator for Elliptical Distributions
U-Bubble Model for Mixed Unit Interval Graphs and its Applications: The MaxCut Problem Revisited
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT
Machine learning models for Si nanoparticle growth in nonthermal plasma
Bayesian intrinsic groupwise registration via explicit hierarchical disentanglement
The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information
xML-workFlow: an end-to-end explainable scikit-learn workflow for rapid biomedical experimentation
The HCCL system for VoxCeleb Speaker Recognition Challenge 2022
Performance and utility trade-off in interpretable sleep staging
Beamforming Design and Power Allocation for Secure Transmission with NOMA
Modeling and Analysis of the Lead-Lag Network of Economic Indicators
Neural Sign Language Translation based on Human Keypoint Estimation
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank
A simulation-heuristics dual-process model for intuitive physics
Focal Inferential Infusion Coupled with Tractable Density Discrimination for Implicit Hate Speech Detection
Genealogy tree: understanding academic lineage of authors via algorithmic and visual analysis
Context in Neural Machine Translation: A Review of Models and Evaluations
Invariants of multidimensional time series based on their iterated-integral signature
LLM Chatbot-Creation Approaches
Support for public-key infrastructures in DNS
How scientific literature has been evolving over the time? A novel statistical approach using tracking verbal-based methods
The Analysis about Building Cross-lingual Sememe Knowledge Base Based on Deep Clustering Network
Increased Capacity per Unit-Cost by Oversampling
Decarbonized Demand Response for Residential Plug-in Electric Vehicles in Smart Grids
Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs
Explainability and the Fourth AI Revolution
Adaptive Content Placement for Peer-to-Peer Video-on-Demand Systems
MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment
Fast Flooding over Manhattan
Clustering Effects on Wireless Mobile Ad-Hoc Networks Performances
The Critique of Crowds: Using Collective Criticism to Crowdsource Subjective Preferences
Examples of cyclically-interval non-colorable bipartite graphs
Active Discovery of Network Roles for Predicting the Classes of Network Nodes
Making Quickhull More Like Quicksort: A Simple Randomized Output-Sensitive Convex Hull Algorithm
GUI-Reflection: Empowering Multimodal GUI Models with Self-Reflection Behavior
Projecting U.S. coastal storm surge risks and impacts with deep learning
Infinite Horizon Markov Economies
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
Noisy source location on a line
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
Information Security Synthesis in Online Universities
Tuning computer vision models with task rewards
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks
CDGS: Confidence-Aware Depth Regularization for 3D Gaussian Splatting
Food-bridging: a new network construction to unveil the principles of cooking
Approximation properties of the double Fourier sphere method
Path-Controlled Secure Network Coding
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning
Efficiently verifiable quantum advantage on near-term analog quantum simulators
Computational complexity arising from degree correlations in networks
Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis
D-PAGE: Diverse Paraphrase Generation
Efficient Numerical Calibration of Water Delivery Network Using Short-Burst Hydrant Trials
The Dual Diameter of Triangulations
MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving
Opportunistic Relaying for Space-Time Coded Cooperation with Multiple Antenna Terminals
How Reliable and Stable are Explanations of XAI Methods?
Improving Usability of User Centric Decision Making of Multi-Attribute Products on E-commerce Websites
Regularizing Differentiable Architecture Search with Smooth Activation
Banishing LLM Hallucinations Requires Rethinking Generalization
Second Order Meanfield Approximation for calculating Dynamics in Au-Nanoparticle Networks
A Survey of Recent Scalability Improvements for Semidefinite Programming with Applications in Machine Learning, Control, and Robotics
Regularized Finite Dimensional Kernel Sobolev Discrepancy
A Task Allocation Schema Based on Response Time Optimization in Cloud Computing
Hardware Architecture for a Quantum Computer Trusted Execution Environment
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models
Performance Analysis of Network-Assisted Two-Hop D2D Communications
Effect of payload size on goodput when message segmentations occur for wireless networks: Case of packet corruptions recovered by stop-and-wait protocol
Neural Network Models for Natural Language Inference Fail to Capture the Semantics of Inference
Convolutional conditional neural processes for local climate downscaling
Lunar Rover Localization Using Craters as Landmarks
Comparison of Methods in Skin Pigment Decomposition
Controlling the Size of Supercompiled Programs using Multi-result Supercompilation
VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding
Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer