yusuke1997/dblp-id-title huggingface dataset:
Exploring Consequences of Privacy Policies with Narrative Generation via Answer Set Programming
Machine learning in healthcare - a system's perspective
Learning Optimal Social Dependency for Recommendation
Harbsafe-162. A Domain-Specific Data Set for the Intrinsic Evaluation of Semantic Representations for Terminological Data
A Study on Internet of Things based Applications
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy
The Reflectron: Exploiting geometry for learning generalized linear models
Analyzing Insect-Plant Predation Data By Bayesian Nonparametrics
The Role of Network Structure and Initial Group Norm Distributions in Norm Conflict
Three-Class Emotion Classification for Audiovisual Scenes Based on Ensemble Learning Scheme
Improving Electrolyte Performance for Target Cathode Loading Using Interpretable Data-Driven Approach
Review of Apriori Based Algorithms on MapReduce Framework
Build It Clean: Large-Scale Detection of Code Smells in Build Scripts
Block encoding with low gate count for second-quantized Hamiltonians
Optimal Demand-Side Management for Joint Privacy-Cost Optimization with Energy Storage
Federated Incomplete Multi-View Clustering with Heterogeneous Graph Neural Networks
Geant4 Maintainability Assessed with Respect to Software Engineering References
Benchmarking MOEAs for solving continuous multi-objective RL problems
Spatial Mode Multiplexing for Fiber-Coupled IM/DD Optical Wireless Links with Misalignment
Cynical Selection of Language Model Training Data
Can We Ignore Labels In Out of Distribution Detection?
Unispeaker: A Unified Approach for Multimodality-driven Speaker Generation
An Initial Exploration: Learning to Generate Realistic Audio for Silent Video
Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition
Solving Quadratic Equations via PhaseLift when There Are About As Many Equations As Unknowns
SMF-VO: Direct Ego-Motion Estimation via Sparse Motion Fields
AVA: an Automatic eValuation Approach to Question Answering Systems
Learning Rate-Free Reinforcement Learning: A Case for Model Selection with Non-Stationary Objectives
Distributed Business Processes - A Framework for Modeling and Execution
A Novel Hybrid Scheme Using Genetic Algorithms and Deep Learning for the Reconstruction of Portuguese Tile Panels
Network Equivalence in the Presence of an Eavesdropper
MC-GEN: Multi-level Clustering for Private Synthetic Data Generation
Multimodal Data Storage and Retrieval for Embodied AI: A Survey
Fluid Dynamics and Domain Reconstruction from Noisy Flow Images Using Physics-Informed Neural Networks and Quasi-Conformal Mapping
Revisiting Z Transform Laplace Inversion: To Correct flaws in Signal and System Theory
Holmes: Automated Fact Check with Large Language Models
Technological taxonomies for hypernym and hyponym retrieval in patent texts
Inference in Multi-Layer Networks with Matrix-Valued Unknowns
CytonRL: an Efficient Reinforcement Learning Open-source Toolkit Implemented in C++
Capacitated Caching Games
Dravidian language family through Universal Dependencies lens
A Lagrangian Relaxation for the Maximum Stable Set Problem
Design and Prototype of a Unified Framework for Error-robust Compression and Encryption in IoT
Efficient Computation of Optimal Trading Strategies
Symbolic Disentangled Representations for Images
Computational Caustic Design for Surface Light Source
Work Motivational Challenges Regarding the Interface Between Agile Teams and a Non-Agile Surrounding Organization: A case study
Hybrid Rendering for Dynamic Scenes
Valuing Players Over Time
Causal Intervention Sequence Analysis for Fault Tracking in Radio Access Networks
LLM-Auction: Generative Auction towards LLM-Native Advertising
Iterative Random Weight EC-TOPSIS Method for Ranking Companies on Social Media
On the Smoothness of the Solution to the Two-Dimensional Radiation Transfer Equation
Isolation-based Spherical Ensemble Representations for Anomaly Detection
T-EMDE: Sketching-based global similarity for cross-modal retrieval
Smart Auto Insurance: High Resolution, Dynamic, Privacy-Driven, Telematic Insurance
Network Science approach to Modelling Emergence and Topological Robustness of Supply Networks: A Review and Perspective
IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance
Revisiting Medical Image Retrieval via Knowledge Consolidation
Empirical Analysis on Productivity Prediction and Locality for Use Case Points Method
Virtual Reality Traffic Prioritization for Wi-Fi Quality of Service Improvement using Machine Learning Classification Techniques
Elastic Fidelity: Trading-off Computational Accuracy for Energy Reduction
Collective Decision Dynamics in the Presence of External Drivers
A survey and classification of face alignment methods based on face models
Classification with Extreme Learning Machine and Ensemble Algorithms Over Randomly Partitioned Data
Regularized Auto-Encoders Estimate Local Statistics
On The Expressivity of Objective-Specification Formalisms in Reinforcement Learning
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement
Self-Play and Self-Describe: Policy Adaptation with Vision-Language Foundation Models
TrustLLM: Trustworthiness in Large Language Models
Polyjuice: Automated, General-purpose Counterfactual Generation
LITO: Learnable Intervention for Truthfulness Optimization
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning
Efficient Dense Gaussian Elimination over the Finite Field with Two Elements
Set systems: order types, continuous nondeterministic deformations, and quasi-orders
Hosting Byzantine Fault Tolerant Services on a Chord Ring
An Improved Rapidly Exploring Random Tree Algorithm for Path Planning in Configuration Spaces with Narrow Channels
In-depth Analysis On Parallel Processing Patterns for High-Performance Dataframes
A binary-activation, multi-level weight RNN and training algorithm for processing-in-memory inference with eNVM
A Survey of In-Context Reinforcement Learning
Grammatical Error Feedback: An Implicit Evaluation Approach
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
Controllable Multichannel Speech Dereverberation based on Deep Neural Networks
An STPA-based Approach for Systematic Security Analysis of In-vehicle Diagnostic and Software Update Systems
LiveTune: Dynamic Parameter Tuning for Training Deep Neural Networks
Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters
Real-Time Visualization in Non-Isotropic Geometries
Approaching Digital Humanities at the University: a Cultural Challenge
Low-latency, Scalable, DeFi with Zef
Tree decompositions with bounded independence number: beyond independent sets
Reified unit resolution and the failed literal rule
Deep Symbolic Regression for Recurrent Sequences
NEF-NET+: Adapting Electrocardio panorama in the wild
Notions of indifference for genericity: Union and subsequence sets
Hardware-Aware Neural Network Compilation with Learned Optimization: A RISC-V Accelerator Approach
Optimal Function Approximation with Relu Neural Networks
PBFD and PDFD: Formally Defined and Verified Methodologies and Empirical Evaluation for Scalable Full-Stack Software Engineering
Automated Issue Assignment: Results and Insights from an Industrial Case
Pattern Based Graph Generator
Inverse design with conditional cascaded diffusion models
Impact of User Height on the Coverage of 3D Beamforming-Enabled Massive MIMO Systems
Second Order State Hallucinations for Adversarial Attack Mitigation in Formation Control of Multi-Agent Systems
Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach
On the Ziv-Merhav theorem beyond Markovianity II: A thermodynamic approach
A Similarity-based Approach to Modeling Graph Operators
Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China
Primary and Secondary Factor Consistency as Domain Knowledge to Guide Happiness Computing in Online Assessment
Analyzing Musical Characteristics of National Anthems in Relation to Global Indices
Unbounded knapsack problem and double partitions
Automated Temporal Equilibrium Analysis: Verification and Synthesis of Multi-Player Games
Cultural Differences in Students' Privacy Concerns in Learning Analytics across Germany, South Korea, Spain, Sweden, and the United States
Variational Quantum Eigensolver for Frustrated Quantum Systems
A Robust Federated Learning Approach for Combating Attacks Against IoT Systems Under non-IID Challenges
CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning
Fault Trees, Decision Trees, And Binary Decision Diagrams: A Systematic Comparison
VVC+M: Plug and Play Scalable Image Coding for Humans and Machines
Quorum Sensing and Verification in Chemical Reaction Networks
Adversarial Attack-Defense Co-Evolution for LLM Safety Alignment via Tree-Group Dual-Aware Search and Optimization
Learning Constraints from Locally-Optimal Demonstrations under Cost Function Uncertainty
Efficient Formulation of Collision Avoidance Constraints in Optimization Based Trajectory Planning and Control
Ultra-short-term multi-step wind speed prediction for wind farms based on adaptive noise reduction technology and temporal convolutional network
Graph Expansions of Deep Neural Networks and their Universal Scaling Limits
Spectral Efficiency of the Cellular Two-Way Relaying with Large Antenna Arrays
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Active search for Bifurcations
An Approximation of the Outage Probability for Multi-hop AF Fixed Gain Relay
A GPU-based Hydrodynamic Simulator with Boid Interactions
Matching Orderable and Separable Hypergraphs
Proximity and Remoteness in Directed and Undirected Graphs
Woodscape Fisheye Semantic Segmentation for Autonomous Driving - CVPR 2021 OmniCV Workshop Challenge
Mapping and Execution of Nested Loops on Processor Arrays: CGRAs vs. TCPAs
SEER-VAR: Semantic Egocentric Environment Reasoner for Vehicle Augmented Reality
Dynamic Frame skip Deep Q Network
Ubicomp Digital 2020 - Handwriting classification using a convolutional recurrent network
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
Towards Inverse Reinforcement Learning for Limit Order Book Dynamics
A Survey of Quantization Methods for Efficient Neural Network Inference
Population estimation using 3D city modelling and Carto2S datasets - A case study
Deep Generative Model-Based Generation of Synthetic Individual-Specific Brain MRI Segmentations
SindBERT, the Sailor: Charting the Seas of Turkish NLP
Statistical mechanics analysis of thresholding 1-bit compressed sensing
Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms
Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders
An Efficient Recommendation Model Based on Knowledge Graph Attention-Assisted Network (KGATAX)
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
Is Multi-Agent Debate (MAD) the Silver Bullet? An Empirical Analysis of MAD in Code Summarization and Translation
Inverted finite elements approximation of the Neumann problem for second order elliptic equations in exterior two-dimensional domains
An Accurate Edge-based FEM for Electromagnetic Analysis with Its Applications to Multiscale Structures
Provably Robust Multi-bit Watermarking for AI-generated Text via Error Correction Code
Gender Bias in Sharenting: Both Men and Women Mention Sons More Often Than Daughters on Social Media
Addressing Key Challenges of Adversarial Attacks and Defenses in the Tabular Domain: A Methodological Framework for Coherence and Consistency
Cross-Supervised Object Detection
From determinacy to Nash equilibrium
A novel Large Eddy Simulation model for the Quasi-Geostrophic Equations in a Finite Volume setting
Decomposition and conformal mapping techniques for the quadrature of nearly singular integrals
Incentive-based Platoon Formation: Optimizing the Personal Benefit for Drivers
Learning Fricke signs from Maass form Coefficients
Log severity level classification: an approach for systems in production
Computer-Vision-Enabled Worker Video Analysis for Motion Amount Quantification
A tropical optimization approach in the analysis of pairwise comparison matrices
The Ammann-Beenker tilings revisited
Performance of a Quantum Annealer for Ising Ground State Computations on Chimera Graphs
When AI companions become witty: Can human brain recognize AI-generated irony?
Modelling Immunological Memory
Scientific Modelling with Coalgebra-Algebra Homomorphisms
Authenticating users through their arm movement patterns
Digital Twins for Industry 4.0 in the 6G Era
Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure
Asymptotically Smaller Encodings for Graph Problems and Scheduling
ATM-GAD: Adaptive Temporal Motif Graph Anomaly Detection for Financial Transaction Networks
New Rain Rate Statistics for Emerging Regions: Implications for Wireless Backhaul Planning
Fairness-aware Photovoltaic Generation Limits for Voltage Regulation in Power Distribution Networks using Conservative Linear Approximations
Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models
A Lattice-Based MIMO Broadcast Precoder for Multi-Stream Transmission
Provable Clustering of a Union of Linear Manifolds Using Optimal Directions
On the efficiency of Stochastic Quasi-Newton Methods for Deep Learning
Incompleteness of graph convolutional neural networks for points clouds in three dimensions
VDB-GPDF: Online Gaussian Process Distance Field with VDB Structure
Universal Approximation Theorems
Error bounds for Physics Informed Neural Networks in Nonlinear Schrödinger equations placed on unbounded domains
HUBERT Untangles BERT to Improve Transfer across NLP Tasks
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes
CLMN: Concept based Language Models via Neural Symbolic Reasoning
On the numerical overshoots of shock-capturing schemes
SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights
To Normalize, or Not to Normalize: The Impact of Normalization on Part-of-Speech Tagging
Injectable Bubbles for Physiological Pressure Measurement
LLM4Cell: A Survey of Large Language and Agentic Models for Single-Cell Biology
Multi-Sensor Control for Multi-Target Tracking Using Cauchy-Schwarz Divergence
Deep Networks Resemble Human Feed-forward Vision in Invariant Object Recognition
Point sets with no four collinear and no large visible island
Performance Review on LLM for solving leetcode problems
Discrete Prompt Compression with Reinforcement Learning
Unveiling the Power of Diffusion Features For Personalized Segmentation and Retrieval
Probabilistic Safety Programs
Experiencing Urban Air Mobility: How Passengers evaluate a simulated flight with an Air Taxi
Revealing the value of Repository Centrality in lifespan prediction of Open Source Software Projects
Designing Software with Complex Configurations
Higher-order Common Information
An Actor-Critic Algorithm with Function Approximation for Risk Sensitive Cost Markov Decision Processes
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
Long-term Planning by Short-term Prediction
Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation
Adversarial Classification under Gaussian Mechanism: Calibrating the Attack to Sensitivity
L γ -PageRank for Semi-Supervised Learning
The physical Church thesis and the sensitivity to initial conditions
Search Is Not Retrieval: Decoupling Semantic Matching from Contextual Assembly in RAG
A Real-Time Framework for Domain-Adaptive Underwater Object Detection with Image Enhancement
Table-to-Text: Describing Table Region with Natural Language
ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System
Constraining Participation: Affordances of Feedback Features in Interfaces to Large Language Models
PAT: Pattern-Perceptive Transformer for Error Detection in Relational Databases
Deriving the Scaled-Dot-Function via Maximum Likelihood Estimation and Maximum Entropy Approach
Predicting the Citation Count and CiteScore of Journals One Year in Advance
River Ice Segmentation with Deep Learning
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Perspectives on How Sociology Can Advance Theorizing about Human-Chatbot Interaction and Developing Chatbots for Social Good
Coexistence of Near-Field and Far-Field Sources: the Angular Resolution Limit
Controllable Talking Face Generation by Implicit Facial Keypoints Editing
A Study of the One-Dimensional Heat-Conduction Equation with Radiation
A 354Mb/s 0.37mm^2 151mW 32-User 256-QAM Near-MAP Soft-Input Soft-Output Massive MU-MIMO Data Detector in 28nm CMOS
Reasoning in the Bernays-Schoenfinkel-Ramsey Fragment of Separation Logic
Towards an accountable Internet of Things: A call for 'reviewability'
Cloning one's voice using very limited data in the wild
Performance Evaluation of Deep Convolutional Maxout Neural Network in Speech Recognition
Integrating Causal Foundation Model in Prescriptive Maintenance Framework for Optimizing Production Line OEE
ETGraph: A Pioneering Dataset Bridging Ethereum and Twitter
Noise-Aware Merging of High Dynamic Range Image Stacks without Camera Calibration
Less is More - Genetic Optimisation of Nearest Neighbour Classifiers
Image-level Regression for Uncertainty-aware Retinal Image Segmentation
Cooperative UWB-Based Localization for Outdoors Positioning and Navigation of UAVs aided by Ground Robots
Ergodic Theory Meets Polarization. II: A Foundation of Polarization Theory
Performance Analysis of Blockchain Systems with Wireless Mobile Miners
Generalized Resubstitution for Regression Error Estimation
Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly
Construction of a Syntactic Analysis Map for Yi Shui School through Text Mining and Natural Language Processing Research
Sample-Efficient and Smooth Cross-Entropy Method Model Predictive Control Using Deterministic Samples
A CMOS Spiking Neuron for Dense Memristor-Synapse Connectivity for Brain-Inspired Computing
Space evaluation at the starting point of soccer transitions
Sentinel: SOTA model to protect against prompt injections
Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework
Rényi Information Measures for Spectral Change Detection
Neural Attribute Machines for Program Generation
On the ability of discontinuous Galerkin methods to simulate under-resolved turbulent flows
MedNet-PVS: A MedNeXt-Based Deep Learning Model for Automated Segmentation of Perivascular Spaces
Unweighted Layered Graph Traversal
Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures
Truncated Proximal Policy Optimization
Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses
DanceMeld: Unraveling Dance Phrases with Hierarchical Latent Codes for Music-to-Dance Synthesis
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions
On the use of dynamical systems in cryptography
System Level Synthesis Beyond Finite Impulse Response Using Approximation by Simple Poles
Fountain Codes with Multiplicatively Repeated Non-Binary LDPC Codes
DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion
Provably Constant-time Planning and Replanning for Real-time Grasping Objects off a Conveyor Belt
Global Overview of Computational Thinking and Digital Tools for Teaching
End-to-End Software Construction using ChatGPT: An Experience Report
Evaluation of Risk and Resilience of the MBTA Green Rapid Transit System
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
Citation Counting, Citation Ranking, and h-Index of Human-Computer Interaction Researchers: A Comparison between Scopus and Web of Science
Understanding Realistic Attacks on Airborne Collision Avoidance Systems
Membership-Mappings for Practical Secure Distributed Deep Learning
Turn Passive to Active: A Survey on Active Intellectual Property Protection of Deep Learning Models
DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models
Stochastic Discontinuous Galerkin Methods for Robust Deterministic Control of Convection Diffusion Equations with Uncertain Coefficients
A Sequence to Sequence Model for Extracting Multiple Product Name Entities from Dialog
Scheduled Differentiable Architecture Search for Visual Recognition
PDBench: Evaluating Computational Methods for Protein Sequence Design
Guarantees for existence of a best canonical polyadic approximation of a noisy low-rank tensor
Learning-Based View Synthesis for Light Field Cameras
Nonlinear Maccone-Pati Uncertainty Principle
Language-specific Acoustic Boundary Learning for Mandarin-English Code-switching Speech Recognition
Instruction-Following Evaluation of Large Vision-Language Models
Language Models Might Not Understand You: Evaluating Theory of Mind via Story Prompting
Inaccuracy of an E-Dictionary and Its Influence on Chinese Language Users
An Overview of Machine Teaching
A Unifying Framework of Bilinear LSTMs
Hopfield Learning-based and Nonlinear Programming methods for Resource Allocation in OCDMA Networks
SCV-GNN: Sparse Compressed Vector-based Graph Neural Network Aggregation
Project-Level C-to-Rust Translation via Synergistic Integration of Knowledge Graphs and Large Language Models
Virtual Reality based Digital Twin System for remote laboratories and online practical learning
Initial investigation of an encoder-decoder end-to-end TTS framework using marginalization of monotonic hard latent alignments
Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-encoder
Cross-Geography Generalization of Machine Learning Methods for Classification of Flooded Regions in Aerial Images
Multi-Armed Bandits with Censored Consumption of Resources
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
Global Profits, Local Decisions: Why Global Cooperation Falters in Multi-level Games
An Empirical Study on Capability of Large Language Models in Understanding Code Semantics
The Upper Bound of Information Diffusion in Code Review
Generalized Robust Fundus Photography-based Vision Loss Estimation for High Myopia
Parsing Through Boundaries in Chinese Word Segmentation
Early Career Citations Capture Judicial Idiosyncrasies and Predict Judgments
Text-to-Image Cross-Modal Generation: A Systematic Review
A Forward Backward Greedy approach for Sparse Multiscale Learning
Unveiling Over-Memorization in Finetuning LLMs for Reasoning Tasks
CityJSON: A compact and easy-to-use encoding of the CityGML data model
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real Users
To Automatically Map Source Code Entities to Architectural Modules with Naive Bayes
Synthetic Data Generation for Augmenting Small Samples
Context is Key for Agent Security
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery
PIS3R: Very Large Parallax Image Stitching via Deep 3D Reconstruction
Practicalities of State-Dependent and Threshold Delay Differential Equations
CS-SHRED: Enhancing SHRED for Robust Recovery of Spatiotemporal Dynamics
Computational interpretation of classical logic with explicit structural rules
Collaboration between parallel connected neural networks - A possible criterion for distinguishing artificial neural networks from natural organs
HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training
Quantum Approximate Optimization for Hard Problems in Linear Algebra