yusuke1997/dblp-id-title huggingface dataset:
Deriving Nonuniform Lower Bounds from Uniform Nondeterministic Lower Bounds
Reservoir Computing as a Tool for Climate Predictability Studies
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment
QuickVC: Any-to-many Voice Conversion Using Inverse Short-time Fourier Transform for Faster Conversion
N-ary Error Correcting Coding Scheme
Machine learning applications for electricity market agent-based models: A systematic literature review
Friendship Prediction in Composite Social Networks
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks
Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia
deCIFer: Crystal Structure Prediction from Powder Diffraction Data using Autoregressive Language Models
MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression
Connectivity-Driven Parcellation Methods for the Human Cerebral Cortex
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying
Adaptive Surface Fitting and Tangential Relaxation for High-Order Mesh Optimization
Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors
Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders
Decomposable Sparse Tensor on Tensor Regression
Multilingual Pretraining for Pixel Language Models
R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models
Source Localization in Networks: Trees and Beyond
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations
Triggerflow: Trigger-based Orchestration of Serverless Workflows
Speeding up the K{ö}hler's method of contrast thresholding
Element Retrieval using Namespace Based on keyword search over XML Documents
Hyperspectral Compressive Wavefront Sensing
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning
The Effect of Document Summarization on LLM-Based Relevance Judgments
Oracle Character Recognition using Unsupervised Discriminative Consistency Network
Hierarchies in Dictionary Definition Space
VMAF Re-implementation on PyTorch: Some Experimental Results
Building A Smart Academic Advising System Using Association Rule Mining
Clustering case statements for indirect branch predictors
Towards Big data processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System
Energy-Efficient Scheduling for Homogeneous Multiprocessor Systems
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation
Auto-Rubric: Learning to Extract Generalizable Criteria for Reward Modeling
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction
Output Regulation of Stochastic Sampled-Data Systems with Post-processing Internal Model
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Assurance for Deployed Continual Learning Systems
Social Media and Health Misinformation during the US COVID Crisis
Unifying two Graph Decompositions with Modular Decomposition
Capsule Network-Based Semantic Intent Modeling for Human-Computer Interaction
On monoid graphs
Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection
A Framework for Ethical Decision-Making in Automated Vehicles through Human Reasons-based Supervision
Vulnerability of Appearance-based Gaze Estimation
IDF: Iterative Dynamic Filtering Networks for Generalizable Image Denoising
A Canonical Model Construction for Iteration-Free PDL with Intersection
Three-Weight Ternary Linear Codes from a Family of Monomials
Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation
A Multi-UAV Formation Obstacle Avoidance Method Combined Improved Simulated Annealing and Adaptive Artificial Potential Field
SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
A method of generating bespoke optimised keyboard layouts that significantly reduce typing effort for Twitter users
A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
Multi-modal Self-Supervision from Generalized Data Transformations
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery
Operationalising the Definition of General Purpose AI Systems: Assessing Four Approaches
Towards Scalable Generation of Realistic Test Data for Duplicate Detection
A New Approach for Resource Scheduling with Deep Reinforcement Learning
Efficient and Accurate Adaptive Resolution for Weakly-Compressible SPH
Establishing validated standards for Home and Work location Detection
Byzantine-tolerant distributed learning of finite mixture models
Design and Development of Novel Electroplating Spring Frame Mems Structure Specimens for the Microtensile Testing of Thin Film Materials
PR-DETR: Injecting Position and Relation Prior for Dense Video Captioning
Interaction Dynamics as a Reward Signal for LLMs
UAV-Based Cell-Free Massive MIMO: Joint Placement and Power Optimization under Fronthaul Capacity Limitations
Understanding the internet topology evolution dynamics
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time
Encrypted Container File: Design and Implementation of a Hybrid-Encrypted Multi-Recipient File Structure
Image-based Geo-localization for Robotics: Are Black-box Vision-Language Models there yet?
MATRIX: Multimodal Agent Tuning for Robust Tool-Use Reasoning
Causal Graph Recovery in Neuroimaging through Answer Set Programming
Open-vocabulary Keyword-spotting with Adaptive Instance Normalization
Optimal Partitions for Nonparametric Multivariate Entropy Estimation
Crossbreeding in Random Forest
HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters
Visual Grounding Strategies for Text-Only Natural Language Processing
Quantum Arthur-Merlin with single-qubit measurements
Personalized Interpolation: An Efficient Method to Tame Flexible Optimization Window Estimation
Data-based Receding Horizon Control of Linear Network Systems
Asynchronous Graph Generators
Elastic Mixture of Rank-Wise Experts for Knowledge Reuse in Federated Fine-Tuning
Automatic Table completion using Knowledge Base
Never a Dull Moment: Distributional Properties as a Baseline for Time-Series Classification
FMtree: A fast locating algorithm of FM-indexes for genomic data
Large Language Models in Qualitative Research: Can We Do the Data Justice?
Deterministic Protocols in the SINR Model without Knowledge of Coordinates
Achieving Tokenizer Flexibility in Language Models through Heuristic Adaptation and Supertoken Learning
Platform for Assessing Strategic Alignment Using Enterprise Architecture: Application to E-Government Process Assessment
PARI: A Probabilistic Approach to AS Relationships Inference
Hierarchical Decoupling Capacitor Optimization for Power Distribution Network of 2.5D ICs with Co-Analysis of Frequency and Time Domains Based on Deep Reinforcement Learning
Stochastic Orthogonal Regularization for deep projective priors
Micropublications: a Semantic Model for Claims, Evidence, Arguments and Annotations in Biomedical Communications
Audio Event and Scene Recognition: A Unified Approach using Strongly and Weakly Labeled Data
Segmentation Rectification for Video Cutout via One-Class Structured Learning
Fast Unbalanced Optimal Transport on Tree
VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Deriving Law-Abiding Instances
Clustering Assisted Fundamental Matrix Estimation
Estimating Distribution Grid Topologies: A Graphical Learning based Approach
Compatible Learning for Deep Photonic Neural Network
Towards Map-Based Validation of Semantic Segmentation Masks
An Online Environment for Democratic Deliberation: Motivations, Principles, and Design
Searching for Discriminative Words in Multidimensional Continuous Feature Space
A Deep Neural Framework for Image Caption Generation Using GRU-Based Attention Mechanism
Efficient Estimation of Word Representations in Vector Space
On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks
From Few-Shot Optimal Control to Few-Shot Learning
Resource Allocations for Secure Cognitive Satellite Terrestrial Networks
High Fidelity Text to Image Generation with Contrastive Alignment and Structural Guidance
Online Learning Guided Quasi-Newton Methods with Global Non-Asymptotic Convergence
modAL: A modular active learning framework for Python
AERMANI-Diffusion: Regime-Conditioned Diffusion for Dynamics Learning in Aerial Manipulators
LoginMEA: Local-to-Global Interaction Network for Multi-modal Entity Alignment
Fast Point-Feature Label Placement for Dynamic Visualizations (Thesis)
Estimation of BMI from Facial Images using Semantic Segmentation based Region-Aware Pooling
On-site estimation of battery electrochemical parameters via transfer learning based physics-informed neural network approach
Structural properties of 1-planar graphs and an application to acyclic edge coloring
Age Range Estimation using MTCNN and VGG-Face Model
Alternative security architecture for IP Telephony based on digital watermarking
Seasonal Encoder-Decoder Architecture for Forecasting
Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments
GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration
Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection
Haptic-based Complementary Filter for Rigid Body Rotations
Low Rate Sampling Schemes for Time Delay Estimation
Distributed Control of Hybrid AC/DC Microgrids: from Synchronous to Asynchronous Algorithms
Exponential integrators for large-scale stiff matrix Riccati differential equations
Selecting the Number of Sensor Scans in Surveillance Operations
Remarks on boundary layers in singularly perturbed Caputo fractional boundary value problems
Reconfiguration of unit squares and disks: PSPACE-hardness in simple settings
Upwind Summation By Parts Finite Difference Methods for Large Scale Elastic Wave Simulations In Complex Geometries
Leveraging Self-Training and Variational Autoencoder for Agitation Detection in People with Dementia Using Wearable Sensors
Comparison of a citation-based indicator and peer review for absolute and specific measures of research-group excellence
A generalization of the symmetrical and optimal probability-to-possibility transformations
Image change detection with only a few samples
Parking Availability Prediction via Fusing Multi-Source Data with A Self-Supervised Learning Enhanced Spatio-Temporal Inverted Transformer
Hybrid Precoder and Combiner Design with Low Resolution Phase Shifters in mmWave MIMO Systems
The nonexistence of unicorns and many-sorted Löwenheim-Skolem theorems
Stabilization at upright equilibrium position of a double inverted pendulum with unconstrained bat optimization
Pressure and convection robust Finite Elements for Magnetohydrodynamics
Collages of String Diagrams
MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
Fast Matrix Multiplication with Sketching
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives
Ìtàkúròso: Exploiting Cross-Lingual Transferability for Natural Language Generation of Dialogues in Low-Resource, African Languages
Vision-based control of a knuckle boom crane with online cable length estimation
Application of Econometric Data Analysis Methods to Physics Software
Multi-scale Anomaly Detection on Attributed Networks
Dynamic Interlining in Bus Operations
TIBSTC-CoT: A Multi-Domain Instruction Dataset for Chain-of-Thought Reasoning in Language Models
ATHAFI: Agile Threat Hunting And Forensic Investigation
Bribes to Miners: Evidence from Ethereum
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets
Your Super Resolution Model is not Enough for Tackling Real-World Scenarios
Spin-NeuroMem: A Low-Power Neuromorphic Associative Memory Design Based on Spintronic Devices
Universal Vector Neural Machine Translation With Effective Attention
Bidirectional Information Flow (BIF) - A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization
Clifford testing: algorithms and lower bounds
Computing Euclidean k-Center over Sliding Windows
Edge Delayed Deep Deterministic Policy Gradient: efficient continuous control for edge scenarios
Cultural Anthropology through the Lens of Wikipedia: Historical Leader Networks, Gender Bias, and News-based Sentiment
Word Vector Enrichment of Low Frequency Words in the Bag-of-Words Model for Short Text Multi-class Classification Problems
Geometry Distributions
ProSpect: Expanded Conditioning for the Personalization of Attribute-aware Image Generation
Systematic Literature Review: Computational Approaches for Humour Style Classification
Balancing Privacy Protection and Interpretability in Federated Learning
Towards a Calculus for Wireless Networks
Proceedings of the Sixth International Conference on Applied Category Theory 2023, ACT 2023, University of Maryland, 31 July - 4 August 2023
LAGOS-AND: A Large, Gold Standard Dataset for Scholarly Author Name Disambiguation
Choreographing the Digital Canvas: A Machine Learning Approach to Artistic Performance
Reinsuring AI: Energy, Agriculture, Finance & Medicine as Precedents for Scalable Governance of Frontier Artificial Intelligence
AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles
Ontological model identification based on data from heterogeneous sources
Discontinuous Galerkin time integration for second-order differential problems: formulations, analysis, and analogies
A Survey of fault mitigation techniques for multi-core architectures
Tissue Concepts v2: A Supervised Foundation Model For Whole Slide Images
Efficient Scheduling of DAGs and Sets of Chains on a Simple Asymmetric Multicore Model
A Story About Cohesion and Separation: Label-Free Metric for Log Parser Evaluation
Separable Temporal Convolution plus Temporally Pooled Attention for Lightweight High-performance Keyword Spotting
Minimum Symbol-Error Probability Symbol-Level Precoding with Intelligent Reflecting Surface
Controllable Layer Decomposition for Reversible Multi-Layer Image Generation
3D Menagerie: Modeling the 3D shape and pose of animals
A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems
Physics-guided Noise Neural Proxy for Low-light Raw Image Denoising
Stochastic modelling of blockchain consensus
Knowledge Updating? No More Model Editing! Just Selective Contextual Reasoning
Multiple Orthogonal Polynomials of two real variables
Multi-product Hamiltonian simulation with explicit commutator scaling
Toward a Safe Internet of Agents
A Homotopy Algorithm for Optimal Transport
Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning
Impact of internal noise on convolutional neural networks
OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories
BDPGO: Balanced Distributed Pose Graph Optimization Framework for Swarm Robotics
On Approximating Hard Integrals with the Double-Exponential Formula
A Physics-Guided Probabilistic Surrogate Modeling Framework for Digital Twins of Underwater Radiated Noise
Application of Liquid Rank Reputation System for Content Recommendation
Learning from Others, Together: Brokerage, Closure and Team Performance
Evolutionary Dynamics in Continuous-time Finite-state Mean Field Games - Part II: Stability
Where Should I Deploy My Contracts? A Practical Experience Report
Complexity and Computation of Connected Zero Forcing
FairEvalLLM. A Comprehensive Framework for Benchmarking Fairness in Large Language Model Recommender Systems
Quad-LED Complex Modulation (QCM) for Visible Light Wireless Communication
On cooperative patrolling: optimal trajectories, complexity analysis, and approximation algorithms
Improved approximation algorithms for k-connected m-dominating set problems
Edge Balance Ratio: Power Law from Vertices to Edges in Directed Complex Network
Untangling Performance from Success
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time Augmentation
Folksonomic Tag Clouds as an Aid to Content Indexing
Acceleration of Statistical Detection of Zero-day Malware in the Memory Dump Using CUDA-enabled GPU Hardware
Proof of AutoML: SDN based Secure Energy Trading with Blockchain in Disaster Case
Unsupervised Reconstruction of 3D Human Pose Interactions From 2D Poses Alone
Dual affine moment invariants
CriPS: Critical Dynamics in Particle Swarm Optimization
Assimilation of magnetic resonance elastography data in an in silico brain model
A two-step approach to Wasserstein distributionally robust chance- and security-constrained dispatch
Inferring Attack Relations for Gradual Semantics
Joint Relay Selection and Power Allocation in Large-Scale MIMO Systems with Untrusted Relays and Passive Eavesdroppers
Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian
LCD and self-orthogonal twisted group codes over finite commutative chain rings
Improved Variational Neural Machine Translation by Promoting Mutual Information
Bayesian Multistate Bennett Acceptance Ratio Methods
Performance of Linear Field Reconstruction Techniques with Noise and Uncertain Sensor Locations
SNA-based reasoning for multiagent team composition
Expressive Power and Loss Surfaces of Deep Learning Models
Breaking the Static Assumption: A Dynamic-Aware LIO Framework Via Spatio-Temporal Normal Analysis
Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification
Development of UMLS Based Health Care Web Services for Android Platform
Linear and Nonlinear Fractional Diffusion
A Theory of Information, Variation, and Artificial Intelligence
Jaywalking your Dog - Computing the Fréchet Distance with Shortcuts
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack
Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation
SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System
Better Models and Algorithms for Learning Ising Models from Dynamics
Hierarchical Graphical Models for
End-to-End Partially Observable Visual Navigation in a Diverse Environment
iPromoter-BnCNN: a Novel Branched CNN Based Predictor for Identifying and Classifying Sigma Promoters
Entropy Controllable Direct Preference Optimization
MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media
Quantum Information Dimension and Geometric Entropy
Comments on "Achievable Rates in Cognitive Radio Channels"
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Augmentation of the Reconstruction Performance of Fuzzy C-Means with an Optimized Fuzzification Factor Vector
Decision PCR: Decision version of the Point Cloud Registration task
OpFlowTalker: Realistic and Natural Talking Face Generation via Optical Flow Guidance
An Approach for Agile SOA Development using Agile Principals
TS-MPC for Autonomous Vehicles including a dynamic TS-MHE-UIO
Improving Human Motion Plausibility with Body Momentum
Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
Audio-visual speech separation based on joint feature representation with cross-modal attention
Improving Subgraph Representation Learning via Multi-View Augmentation
A Multi-Policy Framework for Deep Learning-Based Fake News Detection
Computing a Score of Navigability in Large Graphs
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
The Overlap Gap Property limits limit swapping in QAOA
Algorithm Selection for Software Verification using Graph Attention Networks
Analyzing ENUM Service and Administration from the Bottom Up: The addressing system for IP telephony and beyond
İnsansız Araçlarla Düzlemsel Olmayan Araçların Taranması
Backwards State-space Reduction for Planning in Dynamic Knowledge Bases
Sampling and Optimal Preference Elicitation in Simple Mechanisms
Active Exploration Using Gaussian Random Fields and Gaussian Process Implicit Surfaces
An End-to-End, Segmentation-Free, Arabic Handwritten Recognition Model on KHATT
Similarity Learning with neural networks
Efficient Navigation in Scale-Free Networks Embedded in Hyperbolic Metric Spaces
Learning Explicit Single-Cell Dynamics Using ODE Representations
Did you miss it? Automatic lung nodule detection combined with gaze information improves radiologists' screening performance
Dialogue Injection Attack: Jailbreaking LLMs through Context Manipulation
Can Romeo and Juliet Meet? Or Rendezvous Games with Adversaries on Graphs
GPU Memory Requirement Prediction for Deep Learning Task Based on Bidirectional Gated Recurrent Unit Optimization Transformer
"Looking at the right stuff" - Guided semantic-gaze for autonomous driving
Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions
Atlas-based automated detection of swim bladder in Medaka embryo
Patch augmentation: Towards efficient decision boundaries for neural networks
RoQNN: Noise-Aware Training for Robust Quantum Neural Networks
Think Before You Segment: High-Quality Reasoning Segmentation with GPT Chain of Thoughts
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning
Experiments with small helicopter automated landings at unusual attitudes
Dynamical and Topological Aspects of Consensus Formation in Complex Networks
hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications
Tinker, tailor, solver, proof
Reflection-Satisfaction Tradeoff: Investigating Impact of Reflection on Student Engagement with AI-Generated Programming Hints
Towards Accurate Pixel-wise Object Tracking by Attention Retrieval
AIDE: Task-Specific Fine Tuning with Attribute Guided Multi-Hop Data Expansion
Channel Estimation by Infinite Width Convolutional Networks
Crowd Counting by Adapting Convolutional Neural Networks with Side Information
Delay Analysis of Base Station Flow Table in SDN-enabled Radio Access Networks
Multiplicative-Additive Focusing for Parsing as Deduction
Two Dimensional Array Imaging with Beam Steered Data
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings
On Approximating the Dynamic and Discrete Network Flow Problem
Higher-order Logic as Lingua Franca - Integrating Argumentative Discourse and Deep Logical Analysis
Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
SBSC: Step-By-Step Coding for Improving Mathematical Olympiad Performance
VSA4VQA: Scaling a Vector Symbolic Architecture to Visual Question Answering on Natural Images
Universal Cross-Lingual Text Classification
A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images
Abstract Interpretation on E-Graphs
Estimation for Quadrotors
S3E-GNN: Sparse Spatial Scene Embedding with Graph Neural Networks for Camera Relocalization
Uniqueness Trees: A Possible Polynomial Approach to the Graph Isomorphism Problem