yusuke1997/dblp-id-title huggingface dataset:
Analisis Eksploratif Dan Augmentasi Data NSL-KDD Menggunakan Deep Generative Adversarial Networks Untuk Meningkatkan Performa Algoritma Extreme Gradient Boosting Dalam Klasifikasi Jenis Serangan Siber
Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition
Burgeoning Data Repository Systems, Characteristics and Development Strategies: Insights of Natural Resources and Environmental Scientists
Kriging-Based Robotic Exploration for Soil Moisture Mapping Using a Cosmic-Ray Sensor
Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts
Measurable Stochastics for Brane Calculus
Approximate Capacity of a Class of Multi-source Gaussian Relay Networks
The statistical restricted isometry property and the Wigner semicircle distribution of incoherent dictionaries
Realizations of Rigid Graphs
Experience enrichment based task independent reward model
Developing Open Data Models for Linguistic Field Data
Performance of Graph Database Management Systems as route planning solutions for different data and usage characteristics
Exact Acceleration of Subgraph Graph Neural Networks by Eliminating Computation Redundancy
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning
Absence of zeros implies strong spatial mixing
TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC
Template-Cut: A Pattern-Based Segmentation Paradigm
VoD-3DGS: View-opacity-Dependent 3D Gaussian Splatting
Learning Person Re-identification Models from Videos with Weak Supervision
Acoustic Simulation Framework for Multi-channel Replay Speech Detection
Harmonic Retrieval Using Weighted Lifted-Structure Low-Rank Matrix Completion
Memory-induced mechanism for self-sustaining activity in networks
Joint Detection and Tracking in Videos with Identification Features
Human-AI Co-Learning for Data-Driven AI
Lyapunov weights to convey the meaning of time in physics-informed neural networks
Retroactive Anti-Jamming for MISO Broadcast Channels
Use of social media and Natural Language Processing (NLP) in natural hazard research
Towards Error Correction for Computing in Racetrack Memory
Locality Matters: A Locality-Biased Linear Attention for Automatic Speech Recognition
Graph Contrastive Learning for Multi-omics Data
A flexible FPGA accelerator for convolutional neural networks
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning
A Generalization of the Lifting Lemma for Logic Programming
To Assess the Impact of Smart Cities on Urbanization Patterns in the United States
CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models
NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs
The Name-Free Gap: Policy-Aware Stylistic Control in Music Generation
Any Positive Feedback Rate Increases the Capacity of Strictly Less-Noisy Broadcast Channels
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
PAVAS: Physics-Aware Video-to-Audio Synthesis
Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation
Provable and practical approximations for the degree distribution using sublinear graph samples
Accountability of Generative AI: Exploring a Precautionary Approach for "Artificially Created Nature"
Deep Supervised Information Bottleneck Hashing for Cross-modal Retrieval based Computer-aided Diagnosis
Nash Flows Over Time with Tolls
Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach
Evaluation Methodologies for Code Learning Tasks
Correction to Low and Lapsley's article "Optimization Flow Control, I: Basic Algorithm and Convergence"
Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects
The impact of model size on catastrophic forgetting in Online Continual Learning
Quantification of reachable attractors in asynchronous discrete dynamics
ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation
Generalized Discriminant Analysis algorithm for feature reduction in Cyber Attack Detection System
Joint Seat Allocation 2018: An algorithmic perspective
Efficiently Sampling the PSD Cone with the Metric Dikin Walk
Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations
Revisiting Hallucination Detection with Effective Rank-based Uncertainty
Development of a persuasive User Experience Research (UXR) Point of View for Explainable Artificial Intelligence (XAI)
Beetle Antennae Search without Parameter Tuning (BAS-WPT) for Multi-objective Optimization
Robustness of Voice Conversion Techniques Under Mismatched Conditions
Building Energy Load Forecasting using Deep Neural Networks
Real-Time Blind Defocus Deblurring for Earth Observation: The IMAGIN-e Mission Approach
Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising
A Light-Weight Communication-Efficient Data Sharing Approach in 5G NR V2X
Benchmark of stylistic variation in LLM-generated texts
Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization
Benchmarking Inverse Rashba-Edelstein Magnetoelectric Devices for Neuromorphic Computing
Semi-Supervised Learning with Multi-Head Co-Training
Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion
FaCT: Faithful Concept Traces for Explaining Neural Network Decisions
BioRAG: A RAG-LLM Framework for Biological Question Reasoning
Path-Aware OMP Algorithms for Provenance Recovery in Vehicular Networks
The Generalized Degrees of Freedom of the Interference Relay Channel with Strong Interference
On Shift Sequences for Interleaved Construction of Sequence Sets with Low Correlation
Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck
Formal Analysis of the Sigmoid Function and Formal Proof of the Universal Approximation Theorem
Configuring Intelligent Reflecting Surface with Performance Guarantees: Optimal Beamforming
AMC: Access to Miss Correlation Prefetcher for Evolving Graph Analytics
Modular Construction of Shape-Numeric Analyzers
Ambient IoT: A missing link in 3GPP IoT Devices Landscape
Pseudo session-based recommendation with hierarchical embedding and session attributes
Energy Clustering
SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration
Fast Coherent Point Drift
Distributed Evaluation of Graph Queries using Recursive Relational Algebra
Discrete Vector Fields and Fundamental Algebraic Topology
XTENTH-CAR: A Proportionally Scaled Experimental Vehicle Platform for Connected Autonomy and All-Terrain Research
Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization
On the exact quantum query complexity of MOD m n and EXACT k, l n
Faster Nearest Neighbor Machine Translation
Why Stop at One Error? Benchmarking LLMs as Data Science Code Debuggers for Multi-Hop and Multi-Bug Errors
Application of Global Route-Planning Algorithms with Geodesy
Canonical Correlation Analysis of Datasets with a Common Source Graph
Simulation of machine learning-based 6G systems in virtual worlds
Improving Image Captioning Descriptiveness by Ranking and LLM-based Fusion
Membership Inference Attacks Against Text-to-image Generation Models
Improving Scene Text Image Super-Resolution via Dual Prior Modulation Network
A Transfer Learning Based Model for Text Readability Assessment in German
What do you need to consider when designing mobile health intervention?
Fourier Codes
Sentence Simplification Aids Protein-Protein Interaction Extraction
khmer: Working with Big Data in Bioinformatics
PARL: Prompt-based Agents for Reinforcement Learning
Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects
Motion Planning in Irreducible Path Spaces
Cost-Control in Display Advertising: Theory vs Practice
Towards peer-to-peer sharing of wireless energy services
A Dual Polynomial for OR
A Boosted Model Ensembling Approach to Ball Action Spotting in Videos: The Runner-Up Solution to CVPR'23 SoccerNet Challenge
Learning Rates for Kernel-Based Expectile Regression
The Musical Arrow of Time - The Role of Temporal Asymmetry in Music and Its Organicist Implications
Convergence Guarantees for Deep Epsilon Greedy Policy Learning
Supervised Quadratic Feature Analysis: An Information Geometry Approach to Dimensionality Reduction
AMSnet 2.0: A Large AMS Database with AI Segmentation for Net Detection
Tensorial template matching for fast cross-correlation with rotations and its application for tomography
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud
Enhancing Korean Dependency Parsing with Morphosyntactic Features
Feature Transfer Learning for Deep Face Recognition with Long-Tail Data
A Scalable Resource Management Layer for FPGA SoCs in 6G Radio Units
Securing Blockchain Systems: A Novel Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts
MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
Open Set Classification of Untranscribed Handwritten Documents
Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy
BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning
IgNet. A Super-precise Convolutional Neural Network
Adaptive Extremum Seeking Control via the RMSprop Optimizer
Solving Sokoban with forward-backward reinforcement learning
E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation
Combining noisy well data and expert knowledge in a Bayesian calibration of a flow model under uncertainties: an application to solute transport in the Ticino basin
Agents Explore the Environment Beyond Good Actions to Improve Their Model for Better Decisions
A Study on Action Detection in the Wild
HTTPI Based Web Service Security over SOAP
Iterative Beam Search for Simple Assembly Line Balancing with a Fixed Number of Work Stations
Fine-Tuning TransMorph with Gradient Correlation for Anatomical Alignment
Explicit coupling of acoustic and elastic wave propagation in finite difference simulations
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
Sequential Hard Mining: a data-centric approach for Mitosis Detection
AI paintings vs. Human Paintings? Deciphering Public Interactions and Perceptions towards AI-Generated Paintings on TikTok
Embedding Privacy Into Design Through Software Developers: Challenges & Solutions
A study on the efficacy of model pre-training in developing neural text-to-speech system
Digitally-Enhanced Dog Behavioral Testing: Getting Help from the Machine
A Pessimistic Bilevel Stochastic Problem for Elastic Shape Optimization
Learn from What We HAVE: History-Aware VErifier that Reasons about Past Interactions Online
Model-free tracking control of complex dynamical trajectories with machine learning
Triple Patterning Lithography (TPL) Layout Decomposition using End-Cutting (JM3 Special Session)
Unsupervised Topic Adaptation for Lecture Speech Retrieval
A Taught-Obesrve-Ask (TOA) Method for Object Detection with Critical Supervision
Anti-Context-Free languages
Multimodal Sentiment Analysis on CMU-MOSEI Dataset using Transformer-based Models
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
Tac3D: A Novel Vision-based Tactile Sensor for Measuring Forces Distribution and Estimating Friction Coefficient Distribution
Adaptive User Interest Modeling via Conditioned Denoising Diffusion For Click-Through Rate Prediction
CaRT: Teaching LLM Agents to Know When They Know Enough
AI Powered High Quality Text to Video Generation with Enhanced Temporal Consistency
OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
Learn to Segment Organs with a Few Bounding Boxes
SNOMED CT-powered Knowledge Graphs for Structured Clinical Data and Diagnostic Reasoning
Text-Aware End-to-end Mispronunciation Detection and Diagnosis
Digital Urban Sensing: A Multi-layered Approach
cryptoRAN: A review on cryptojacking and ransomware attacks w.r.t. banking industry - threats, challenges, & problems
Stochastic reconstruction of periodic, three-dimensional multi-phase electrode microstructures using generative adversarial networks
OpenSeq2Seq: extensible toolkit for distributed and mixed precision training of sequence-to-sequence models
A Unified and Scalable Method for Optimization over Graphs of Convex Sets
SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation
Straight Skeletons with Additive and Multiplicative Weights and Their Application to the Algorithmic Generation of Roofs and Terrains
A Self-Improving Coding Agent
Impact of Atrial Fibrillation on Left Atrium Haemodynamics: A Computational Fluid Dynamics Study
Graph-Based Operator Learning from Limited Data on Irregular Domains
Numerical Solution of The Seventh Order Boundary Value Problems using B-spline Method
Deep Learning based Automated Forest Health Diagnosis from Aerial Images
Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures
Removing the mini-batching error in Bayesian inference using Adaptive Langevin dynamics
OSD: A Source Level Bug Localization Technique Incorporating Control Flow and State Information in Object Oriented Program
Using LLMs to Advance the Cognitive Science of Collectives
Dynamic Analysis can be Improved with Automatic Test Suite Refactoring
Efficiency of Adversarial Timeline Competition in Online Social Networks
Generating Piano Music with Transformers: A Comparative Study of Scale, Data, and Metrics
Variational Bayesian Approximations Kalman Filter Based on Threshold Judgment
You Only Train Once: Differentiable Subset Selection for Omics Data
Acoustic effects of medical, cloth, and transparent face masks on speech signals
Kvik: A task based middleware with composable scheduling policies
Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives
Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials
A Numerical Investigation of the Lengthscale in the Mixing-Length Reduced Order Model of the Turbulent Channel Flow
A Privacy-Preserving Data Collection Method for Diversified Statistical Analysis
Looking Further Ahead Reveals An Even Smaller World
YOLO and Mask R-CNN for Vehicle Number Plate Identification
Creating Interaction Scenarios With a New Graphical User Interface
VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models
Class Incremental Learning for Adversarial Robustness
A multi-channel approach for automatic microseismic event localization using RANSAC-based arrival time event clustering(RATEC)
Adaptive Quantum State Tomography with Neural Networks
Using NIST Special Publication (SP) 800-171r2/171B to assess and evaluate the Information Security posture of Technology Service Providers who support Covered Entities and/or their Business Associates in the Healthcare Sector
Towards Logical Architecture and Formal Analysis of Dependencies Between Services
Study on Resource Efficiency of Distributed Graph Processing
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints
Sensitivity Analysis of State Space Models for Scrap Composition Estimation in EAF and BOF
Sequential Binary Classification for Intrusion Detection in Software Defined Networks
A geometric framework for momentum-based optimizers for low-rank training
Lenia - Biology of Artificial Life
Dynamic Chuck Convolution for Unified Streaming And Non-streaming Conformer ASR
Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery
Boundary-Aware Adversarial Filtering for Reliable Diagnosis under Extreme Class Imbalance
6GStarLab - A CubeSat Mission to support the development and standardization of Non-Terrestrial Networks towards 6G
A Comparative Evaluation of Power Converter Circuits to Increase the Power Transfer Capability of High Voltage Transmission Lines
RoleConflictBench: A Benchmark of Role Conflict Scenarios for Evaluating LLMs' Contextual Sensitivity
Low-complexity Resource Allocation for User Paired RSMA in Future 6G Wireless Networks
Medical Image Segmentation and Localization using Deformable Templates
BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
Quantum Enhanced Anomaly Detection for ADS-B Data using Hybrid Deep Learning
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks
Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6GHz Channels
A leave-one-out approach to approximate message passing
A Family of Metrics for Clustering Algorithms
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
Applying Operating System Principles to SDN Controller Design
A Survey of Deep Meta-Learning
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning
Word-Level Emotional Expression Control in Zero-Shot Text-to-Speech Synthesis
Text Classification with Lexicon from PreAttention Mechanism
A Case for Self-Managing DRAM Chips: Improving Performance, Efficiency, Reliability, and Security via Autonomous in-DRAM Maintenance Operations
Convergence Analysis of Mixed Timescale Cross-Layer Stochastic Optimization
Cryptocurrency wallets: assessment and security
Representation learning of drug and disease terms for drug repositioning
Simulating Ankle Torque during Walking Using a new Bioinspired Muscle Model with Application for Controlling a Powered Exoskeleton
From Universal Approximation Theorem to Tropical Geometry of Multi-Layer Perceptrons
Hybrid Machine Learning techniques in the management of harmful algal blooms impact
Parallel Medical Imaging: A New Data-Knowledge-Driven Evolutionary Framework for Medical Image Analysis
Strategic Arrivals to Queues Offering Priority Service
Supervisor Localization of Discrete-Event Systems based on State Tree Structures
Hidden Variables unseen by Random Forests
Promoting Non-Cooperation Through Ordering
A standard transformation from XML to RDF via XSLT
Content based video retrieval
Exploiting Prefix-Tree in Structured Output Interfaces for Enhancing Jailbreak Attacking
The Challenge of Differentially Private Screening Rules
Downgrade Attack on TrustZone
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential
Pretrained Mobility Transformer: A Foundation Model for Human Mobility
Compression d'images par SVD et sur-approximation des composantes de chrominance
A Space-efficient Parameterized Algorithm for the Hamiltonian Cycle Problem by Dynamic Algebraziation
Implementation of Virtual Network Function Chaining through Segment Routing in a Linux-based NFV Infrastructure
Probabilistic CCA with Implicit Distributions
Secure Semantic Communication over Wiretap Channels: Rate-Distortion-Equivocation Tradeoff
Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control
EdgeFaaS: A Function-based Framework for Edge Computing
VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold
Fixed Viewpoint Mirror Surface Reconstruction under an Uncalibrated Camera
Dual Knowledge-Enhanced Two-Stage Reasoner for Multimodal Dialog Systems
Aggregation of Multi Diffusion Models for Enhancing Learned Representations
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias
Can LLMs Learn by Teaching? A Preliminary Study
Diffusion-based Generative Prior for Low-Complexity MIMO Channel Estimation
District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
A derivative-free trust-region approach for Low Order-Value Optimization problems
Convolutions, Transformers, and their Ensembles for the Segmentation of Organs at Risk in Radiation Treatment of Cervical Cancer
Urban Buildings Energy Consumption Estimation Using HPC: A Case Study of Bologna
Resolving Turbulent Magnetohydrodynamics: A Hybrid Operator-Diffusion Framework
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification
Commercial Technologies for Advanced Light Control in Smart Building Energy Management Systems: A Comparative Study
Oracle Separations Between Quantum and Non-interactive Zero-Knowledge Classes
Accurate Expert Predictions in MoE Inference via Cross-Layer Gate
Designing a Network Based System for Delivery of Remote Mine Services
Large language models can accurately predict searcher preferences
Continuous-Time Analog Filters for Audio Edge Intelligence: Review and Analysis on Design Techniques
RL-Driven Security-Aware Resource Allocation Framework for UAV-Assisted O-RAN
EMMA: An Emotionally Intelligent Personal Assistant for Improving Wellbeing
An Optimal Bearing-Only-Information Strategy for Unmanned Aircraft Collision Avoidance
Gradient-based Reinforcement Planning in Policy-Search Methods
Assessing the intelligibility of vocoded speech using a remote testing framework
Lattice-based IBE with Equality Test Supporting Flexible Authorization in the Standard Model
Prune4Web: DOM Tree Pruning Programming for Web Agent
A Machine Checked Model of Idempotent MGU Axioms For Lists of Equational Constraints
Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inference
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service
PREPRINT: Found Object Puppeteering as a Tool for Rapid Movement Sketching in 3D Animation
Infinite Video Understanding
Scaling Pre-training to One Hundred Billion Data for Vision Language Models
Scalable and Efficient Continual Learning from Demonstration via Hypernetwork-generated Stable Dynamics Model
Increasing transformer token length with a Maximum Entropy Principle Method
Consistent and Accurate Frequency Oracles under Local Differential Privacy
From scratch to silver: Creating trustworthy training data for patent-SDG classification using Large Language Models
A Dual-Layered Evaluation of Geopolitical and Cultural Bias in LLMs
Automated modeling of brain bioelectric activity within the 3D Slicer environment
Tetris is NP-hard even with $O(1)$ rows or columns
Representing scenarios for process evolution management
HCOMC: A Hierarchical Cooperative On-Ramp Merging Control Framework in Mixed Traffic Environment on Two-Lane Highways
From Show Programmes to Data: Designing a Workflow to Make Performing Arts Ephemera Accessible Through Language Models
EWMoE: An effective model for global weather forecasting with mixture-of-experts
Application of generative autoencoder in de novo molecular design
Adaptive Control with Global Exponential Stability for Parameter-Varying Nonlinear Systems under Unknown Control Gains
Robust Statistics vs. Machine Learning vs. Bayesian Inference: Insights into Handling Faulty GNSS Measurements in Field Robotics
Audience-specific Explanations for Machine Translation
ME: Trigger Element Combination Backdoor Attack on Copyright Infringement
HAT-CL: A Hard-Attention-to-the-Task PyTorch Library for Continual Learning
Forgiveness is an Adaptation in Iterated Prisoner's Dilemma with Memory
Biomarker Discovery with Quantum Neural Networks: A Case-study in CTLA4-Activation Pathways
A Model of Spatial Thinking for Computational Intelligence
A Text Analysis of Federal Reserve meeting minutes
Image reconstruction in light-sheet microscopy: spatially varying deconvolution and mixed noise
Automated Translation of Rebar Information from GPR Data into As-Built BIM: A Deep Learning-based Approach
Towards a Graph Neural Network-Based Approach for Estimating Hidden States in Cyber Attack Simulations
On Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors
Attribute-preserving Face Dataset Anonymization via Latent Code Optimization