yusuke1997/dblp-id-title huggingface dataset:
LQR-Assisted Whole-Body Control of a Wheeled Bipedal Robot with Kinematic Loops
Perfect message authentication codes are robust to small deviations from uniform key distributions
Designing Just-in-Time Detection for Gamified Fitness Frameworks
QoS Analysis of Cognitive Radios Employing HARQ
Enhancing image captioning with depth information using a Transformer-based framework
Linking Stakeholders' Viewpoint Concerns and Microservices-based Architecture
An OpenMind for 3D medical vision self-supervised learning
A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices
AI-assisted Protective Action: Study of ChatGPT as an Information Source for a Population Facing Climate Hazards
DAC: Decomposed Automation Correction for Text-to-SQL
On Web-based Domain-Specific Language for Internet of Things
Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach
Sentiment Classification of Customer Reviews about Automobiles in Roman Urdu
Explainable AI and Machine Learning Towards Human Gait Deterioration Analysis
FPGA-based Multi-Chip Module for High-Performance Computing
Analytic Performance Evaluation of M${-}$QAM Based Decode-and-Forward Relay Networks Over Nakagami-q (Hoyt) Fading Channels
Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
Fully End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-Agent
An efficient projection neural network for $\ell_1$-regularized logistic regression
Verification of recursive Bitcoin contracts
Quality Diversity for Multi-task Optimization
Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement
NeckCheck: Predicting Neck Strain using Head Tracker Sensors
Participatory Research as a Path to Community-Informed, Gender-Fair Machine Translation
Attacks on Node Attributes in Graph Neural Networks
Combining One-Class Classifiers via Meta-Learning
Optimal Power Flow Solutions via Noise-Resilient Quantum-Inspired Interior-Point Methods
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation
LLM-Sketch: Enhancing Network Sketches with LLM
MAJORCA: Multi-Architecture JOP and ROP Chain Assembler
Femtosecond laser fabricated nitinol living hinges for millimeter-sized robots
Optimal Strategies for Search and Rescue Operations with Robot Swarms
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography
Behavioral response to mobile phone evacuation alerts
Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling
A Regularized Conditional GAN for Posterior Sampling in Inverse Problems
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense
Training Self-localization Models for Unseen Unfamiliar Places via Teacher-to-Student Data-Free Knowledge Transfer
FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph Drawing
Secure and Transparent Audit Logs with BlockAudit
Fast Recoloring of Sparse Graphs
Sic Transit Gloria Manuscriptum: Two Views of the Aggregate Fate of Ancient Papers
Doc2Dict: Information Extraction as Text Generation
SMiRL: Surprise Minimizing RL in Dynamic Environments
Computational modelling of hydrogen assisted fracture in polycrystalline materials
MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval
Spectral evolution and invariance in linear-width neural networks
Hybrid Branching-Time Logics
Scalable Smartphone Cluster for Deep Learning
Distributed Time-Varying Optimization via Unbiased Extremum Seeking
Are You Sure You Want To Do That? Classification with Verification
Capacitor Voltage Synchronizing Control of 100% Full-Scale Wind Power Generator-Supplied Power Systems
Modelling spatial patterns of economic activity in the Netherlands
Local planar domination revisited
Proceedings of the 1st International Workshop on Reading Music Systems
Partial Convolution based Padding
Optimal Sizing of Stand-alone Solar PV Systems via Automated Formal Synthesis
Simultaneous Information and Energy Transfer: A Two-User MISO Interference Channel Case
Construction of Self-Orthogonal Quasi-Cyclic Codes and Their Application to Quantum Error-Correcting Codes
COVID-Net UV: An End-to-End Spatio-Temporal Deep Neural Network Architecture for Automated Diagnosis of COVID-19 Infection from Ultrasound Videos
Do the technical universities exhibit distinct behaviour in global university rankings? A Times Higher Education (THE) case study
Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits
Bringing Generative AI to Adaptive Learning in Education
Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments
SelvaBox: A high-resolution dataset for tropical tree crown detection
Event sequence metric learning
The Kraft-Barmpalias-Lewis-Pye lemma revisited
Structural backward stability in rational eigenvalue problems solved via block Kronecker linearizations
Towards Privacy-Preserving Anomaly-Based Intrusion Detection in Energy Communities
How Do You #relax When You're #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets
Self-Improving AI Agents through Self-Play
Deep Time Series Models: A Comprehensive Survey and Benchmark
Changes in electricity demand pattern in Europe due to COVID-19 shutdowns
Useful Statistical Methods for Human Factors Research in Software Engineering: A Discussion on Validation with Quantitative Data
A process algebraic form to represent extensive games
Neurocognitive Informatics Manifesto
Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks
Deep Reinforcement Learning Radio Control and Signal Detection with KeRLym, a Gym RL Agent
Rethinking Search: A Study of University Students' Perspectives on Using LLMs and Traditional Search Engines in Academic Problem Solving
A Novel Reliability-based Robust Design Multi-objective Optimization Formulation Applied in Chemical Engineering
Parameter identification algorithm for a LTV system with partially unknown state matrix
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals
AI in Software Engineering: A Survey on Project Management Applications
Memory-Maze: Scenario Driven Benchmark and Visual Language Navigation Model for Guiding Blind People
"Don't forget to put the milk back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations
Spectral oversubtraction? An approach for speech enhancement after robot ego speech filtering in semi-real-time
A Plug-and-Play Fully On-the-Job Real-Time Reinforcement Learning Algorithm for a Direct-Drive Tandem-Wing Experiment Platforms Under Multiple Random Operating Conditions
Galerkin Scheme Using Biorthogonal Wavelets on Intervals for 2D Elliptic Interface Problems
Crackovid: Optimizing Group Testing
Digital twins for city simulation: Automatic, efficient, and robust mesh generation for large-scale city modeling and simulation
Building domain specific lexicon based on TikTok comment dataset
Large Language Model Distilling Medication Recommendation Model
Bandwidth Gain from Mobile Edge Computing and Caching in Wireless Multicast Systems
An unconditionally energy stable and positive upwind DG scheme for the Keller-Segel model
Can Foundation Models Help Us Achieve Perfect Secrecy?
Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh Lighting
Few-shot Named Entity Recognition with Cloze Questions
Extended Coopetitive Soft Gating Ensemble
Learning Paired-associate Images with An Unsupervised Deep Learning Architecture
Metastable Memristive Lines for Signal Transmission and Information Processing Applications
Do GAN Loss Functions Really Matter?
Rethinking the Number of Channels for the Convolutional Neural Network
Justices for Information Bottleneck Theory
Quantum correlation alignment for unsupervised domain adaptation
The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie
PAC Off-Policy Prediction of Contextual Bandits
Turbo-Equalization Using Partial Gaussian Approximation
"ScatSpotter" 2024 - A Distributed Dog Poop Detection Dataset
Weighted Approach to Rényi Entropy
Artificial intelligence system based on multi-value classification of fully connected neural network for construction management
Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy
LIMO: Less is More for Reasoning
A geometric and combinatorial view of weighted voting
A Tighter Bound for the Determinization of Visibly Pushdown Automata
QMA variants with polynomially many provers
Design of a Hybrid Modular Switch
Unveiling LLMs: The Evolution of Latent Representations in a Temporal Knowledge Graph
Deep learning-based detection of intravenous contrast in computed tomography scans
Neural Radiance Fields (NeRFs): A Review and Some Recent Developments
Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback
Evolving Evolutionary Algorithms using Linear Genetic Programming
Selective Multiple Power Iteration: from Tensor PCA to gradient-based exploration of landscapes
Elementos de ingeniería de explotación de la información: réplica y algunos trazos sobre teoría informática
Experimenting AI Technologies for Disinformation Combat: the IDMO Project
Self-Reflection Outcome is Sensitive to Prompt Construction
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning
On the fixed-parameter tractability of the maximum connectivity improvement problem
Design and development of an Aerial Surveillance Security System
First Order Methods for Geometric Optimization of Crystal Structures
Tight Lower Complexity Bounds for Strongly Convex Finite-Sum Optimization
Dynamics of fracturing saturated porous media and self-organization of rupture
Hierarchical Codebook based Multiuser Beam Training for Millimeter Massive MIMO
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework
Enlarging Feature Support Overlap for Domain Generalization
Scatter-Limited Hybrid Monte Carlo, Deterministic Transport with Quasi-Monte Carlo Sampling
Extracting Knowledge Graphs from User Stories using LangChain
Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks
Predicting the Programming Language of Questions and Snippets of StackOverflow Using Natural Language Processing
Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven
Impact of Target Word and Context on End-to-End Metonymy Detection
Exploring the Efficacy of Group-Normalization in Deep Learning Models for Alzheimer's Disease Classification
Road Curb Extraction from Mobile LiDAR Point Clouds
An Omnidirectional Approach to Touch-based Continuous Authentication
Inversion-free feed-forward and feedback control of MSM based actuator with large non-smooth input hysteresis
Discrete Calculus of Variations for Quadratic Lagrangians. Convergence Issues
Using GPI-2 for Distributed Memory Paralleliziation of the Caffe Toolbox to Speed up Deep Neural Network Training
JADE: Joint Autoencoders for Dis-Entanglement
BiD Codes: Algebraic Codes from 3 ⨉ 3 Kernel
Exploring Multi-Document Information Consolidation for Scientific Sentiment Summarization
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
AutoDeconJ: a GPU accelerated ImageJ plugin for 3D light field deconvolution with optimal iteration numbers predicting
Automatically Generating Codes from Graphical Screenshots Based on Deep Autocoder
Progressive transfer learning for low frequency data prediction in full waveform inversion
Wavelet-Enhanced PaDiM for Industrial Anomaly Detection
Model Checking Implantable Cardioverter Defibrillators
A method for trustworthiness assessment based on fidelity in cyber and physical domains
A conclusive remark on linguistic theorizing and language modeling
SONATA: Self-adaptive Evolutionary Framework for Hardware-aware Neural Architecture Search
BeeHIVE: Behavioral Biometric System based on Object Interactions in Smart Environments
Generalized cyclic symmetric decompositions for the matrix multiplication tensor
From Text to Trajectories: GPT-2 as an ODE Solver via In-Context
Hallucination vs interpretation: rethinking accuracy and precision in AI-assisted data extraction for knowledge synthesis
Comparison of Short Blocklength Sphere Shaping and Nonlinearity Compensation in WDM Systems
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
On cliques of signed and switchable signed graphs
Denoising Diffusion as a New Framework for Underwater Images
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond
Local Mechanisms of Compositional Generalization in Conditional Diffusion
Classification of LULC Change Detection using Remotely Sensed Data for Coimbatore City, Tamilnadu, India
Security Attacks and Solutions for Digital Twins
Semi-parametric Image Inpainting
Inclusion 2024 Global Multimedia Deepfake Detection: Towards Multi-dimensional Facial Forgery Detection
A Scalable, Fast and Programmable Neural Decoder for Fault-Tolerant Quantum Computation Using Surface Codes
CAAD 2018: Powerful None-Access Black-Box Attack Based on Adversarial Transformation Network
SoK: Taxonomy and Challenges of Out-of-Band Signal Injection Attacks and Defenses
Drones on the Rise: Exploring the Current and Future Potential of UAVs
An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning
Bibliometric Analysis of Publisher and Journal Instructions to Authors on Generative-AI in Academic and Scientific Publishing
GovRelBench:A Benchmark for Government Domain Relevance
Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement
Evaluating LLMs in Open-Source Games
On Automating Video Game Testing by Planning and Learning
Understanding Concept Drift
Disentangling Safe and Unsafe Corruptions via Anisotropy and Locality
SpatialLM: Training Large Language Models for Structured Indoor Modeling
Variable density preserving topology grids and the digital models for the plane
AsQM: Audio streaming Quality Metric based on Network Impairments and User Preferences
AutoPlace: Robust Place Recognition with Low-cost Single-chip Automotive Radar
Asymptotic Performance Analysis for 1-bit Bayesian Smoothing
Layout-aware Webpage Quality Assessment
Tycoon: A Distributed Market-based Resource Allocation System
Importance-Aware Semantic Communication in MIMO-OFDM Systems Using Vision Transformer
What Really Matters in Matrix-Whitening Optimizers?
Progressive Channel Estimation and Passive Beamforming for Intelligent Reflecting Surface with Discrete Phase Shifts
Second order asymptotics in fixed-length source coding and intrinsic randomness
Direct algebraic solutions to constrained tropical optimization problems
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
Optimal single-mode squeezing for beam displacement sensing
Exploratory Models of Human-AI Teams: Leveraging Human Digital Twins to Investigate Trust Development
Modulated Policy Hierarchies
Algorithm for Achieving Consensus Over Conflicting Rumors: Convergence Analysis and Applications
Learned Primal-dual Reconstruction
SurgLLM: A Versatile Large Multimodal Model with Spatial Focus and Temporal Awareness for Surgical Video Understanding
SimTS: Rethinking Contrastive Representation Learning for Time Series Forecasting
Adaptive Codes: A New Class of Non-standard Variable-length Codes
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process
X-SepFormer: End-to-end Speaker Extraction Network with Explicit Optimization on Speaker Confusion
Open Source Software: An Approach to Controlling Usage and Risk in Application Ecosystems
Deep Bayesian Active Learning, A Brief Survey on Recent Advances
SPG-VTON: Semantic Prediction Guidance for Multi-pose Virtual Try-on
Intuitionistic Fuzzy Universum Twin Support Vector Machine for Imbalanced Data
Model Selection Techniques - An Overview
Segmenting Cardiac Muscle Z-disks with Deep Neural Networks
A note on computational complexities of polynomial type
A novel method based on cross correlation maximization, for pattern matching by means of a single parameter. Application to the human voice
How much "human-like" visual experience do current self-supervised learning algorithms need to achieve human-level object recognition?
Energy-Efficient and Reliable Data Collection in Receiver-Initiated Wake-up Radio Enabled IoT Networks
Learning the P2D Model for Lithium-Ion Batteries with SOH Detection
What can we learn from gradients?
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation
SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving
PhotIQA: A photoacoustic image data set with image quality ratings
Gabidulin Codes with Support Constrained Generator Matrices
Imitation Learning for Vision-based Lane Keeping Assistance
EMG-Driven Stiffness-Modulating Palpation for Telerehabilitation
Streaming Symmetric Norms via Measure Concentration
CoverBLIP: scalable iterative matched filtering for MR Fingerprint recovery
eFPE: Design, Implementation, and Evaluation of a Lightweight Format-Preserving Encryption Algorithm for Embedded Systems
When Collaborative Filtering Meets Reinforcement Learning
Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation
SLM-TTA: A Framework for Test-Time Adaptation of Generative Spoken Language Models
Decoding of Quasi-Cyclic Codes up to A New Lower Bound on the Minimum Distance
Distributed model predictive control without terminal cost under inexact distributed optimization
Solving the Forward Position Problem of an In-Parallel Planar Manipulator in the Gauss Plane
Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features
Energy-Efficient Modulation Design for Reliable Communication in Wireless Networks
Imposing Temporal Consistency on Deep Monocular Body Shape and Pose Estimation
Learning Dynamical System for Grasping Motion
Geometric Data-Driven Multi-Jet Locomotion Inspired by Salps
Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression
Improving Deep Video Compression by Resolution-adaptive Flow Coding
A path in regression Random Forest looking for spatial dependence: a taxonomy and a systematic review
Network Sampling Based on NN Representatives
Data-Driven Distributed Voltage Control for Microgrids: A Koopman-based Approach
Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity
Detection of Digital Facial Retouching utilizing Face Beauty Information
Heuristic Rating Estimation Method for the incomplete pairwise comparisons matrices
An Empirical Study on Decision making for Quality Requirements
Ultra-Low Latency (ULL) Networks: A Comprehensive Survey Covering the IEEE TSN Standard and Related ULL Research
Knowledge Sharing: A Model
Instant Complexity Reduction in CNNs using Locality-Sensitive Hashing
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning
Exploring Supervised Machine Learning for Multi-Phase Identification and Quantification from Powder X-Ray Diffraction Spectra
Finetuning Pretrained Transformers into Variational Autoencoders
An Attention Mechanism for Answer Selection Using a Combined Global and Local View
Fast geometric trim fitting using partial incremental sorting and accumulation
Progressive Query Expansion for Retrieval Over Cost-constrained Data Sources
Exploiting Over-Approximation Errors as Preview Information for Nonlinear Control
On NVD Users' Attitudes, Experiences, Hopes and Hurdles
Hybrid Supervised and Reinforcement Learning for the Design and Optimization of Nanophotonic Structures
Balanced k-Means Clustering on an Adiabatic Quantum Computer
AI-Based Automated Speech Therapy Tools for persons with Speech Sound Disorders: A Systematic Literature Review
Analyse des suites aléatoires engendrées par des automates cellulaires et applications à la cryptographie
Improving the Reliability of Quantum Circuits by Evolving Heterogeneous Ensembles
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks
Tight Lower Bounds for the Longest Common Extension Problem
Graphon Particle Systems, Part II: Dynamics of Distributed Stochastic Continuum Optimization
Beauty and the beast: A case study on performance prototyping of data-intensive containerized cloud applications
SmartFlow: Robotic Process Automation using LLMs
Superconducting optoelectronic circuits for neuromorphic computing
LongCat-Flash Technical Report
An Extended Classification and Comparison of NoSQL Big Data Models
LLM4Rail: An LLM-Augmented Railway Service Consulting Platform
eDOC: Explainable Decoding Out-of-domain Cell Types with Evidential Learning
Short-term load forecasting using optimized LSTM networks based on EMD
Data Consistency Simulation Tool for NoSQL Database Systems
Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent
Diffusion-HPC: Generating Synthetic Images with Realistic Humans
Automated Analysis of Sustainability Reports: Using Large Language Models for the Extraction and Prediction of EU Taxonomy-Compliant KPIs
SAR Image Synthesis with Diffusion Models
Enhancing Fact Retrieval in PLMs through Truthfulness
Are Bus-Mounted Edge Servers Feasible?
Is Attentional Channel Processing Design Required? Comprehensive Analysis Of Robustness Between Vision Transformers And Fully Attentional Networks
Novelty Driven Evolutionary Neural Architecture Search
Enhancing Customer Churn Prediction in Telecommunications: An Adaptive Ensemble Learning Approach
Ultra-broadband active noise cancellation at the ears via optical microphones
Crime Prediction by Data-Driven Green's Function method
MSPipe: Efficient Temporal GNN Training via Staleness-aware Pipeline
Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
Specialization of Functional Logic Programs Based on Needed Narrowing
Tuning PID and FOPID Controllers using the Integral Time Absolute Error Criterion
Green Traffic Engineering for Satellite Networks Using Segment Routing Flexible Algorithm
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition
The Processing Using Memory Paradigm: In-DRAM Bulk Copy, Initialization, Bitwise AND and OR
VPBSD:Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation
Machine Learning as an Accurate Predictor for Percolation Threshold of Diverse Networks
Optimal QoS-aware network reconfiguration in software defined cloud data centers
A Fast Causal Profiler for Task Parallel Programs
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification
Automatic Speech recognition for Speech Assessment of Preschool Children
Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches
Ranks and Kernels of Codes from Generalized Hadamard Matrices
Riemannian Complex Matrix Convolution Network for PolSAR Image Classification
Space-Time Attention with Shifted Non-Local Search
Differentially Private Best-Arm Identification
On the convergence of loss and uncertainty-based active learning algorithms
What we really want to find by Sentiment Analysis: The Relationship between Computational Models and Psychological State
LLM on a Budget: Active Knowledge Distillation for Efficient Classification of Large Text Corpora
Anticipating Daily Intention using On-Wrist Motion Triggered Sensing
Sparse Neural Networks Topologies
A Reconfigurable FIR Filter with Memristor-Based Weights
Intra-cluster Characteristics of 28 GHz Wireless Channel in Urban Micro Street Canyon
AgentAsk: Multi-Agent Systems Need to Ask