yusuke1997/dblp-id-title huggingface dataset:
D4+: Emergent Adversarial Driving Maneuvers with Approximate Functional Optimization
Image Classification at Supercomputer Scale
Attention-Based Model and Deep Reinforcement Learning for Distribution of Event Processing Tasks
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images
ID-PaS : Identity-Aware Predict-and-Search for General Mixed-Integer Linear Programs
Accurate automatic segmentation of retina layers with emphasis on first layer
Diffusion models for Handwriting Generation
Deep Robust Multilevel Semantic Cross-Modal Hashing
A trustless society? A political look at the blockchain vision
Using Conditional Generative Adversarial Networks to Reduce the Effects of Latency in Robotic Telesurgery
FreeBeacon: Efficient Communication and Data Aggregation in Battery-Free IoT
Benchmark Inflation: Revealing LLM Performance Gaps Using Retro-Holdouts
Method of Tracking and Analysis of Fluorescent-Labeled Cells Using Automatic Thresholding and Labeling
Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations
Learning to Generate Lumped Hydrological Models
Studying Politically Vulnerable Communities Online: Ethical Dilemmas, Questions, and Solutions
Multi-modal Bayesian Neural Network Surrogates with Conjugate Last-Layer Estimation
5G Enabled Fault Detection and Diagnostics: How Do We Achieve Efficiency?
Architectural Backdoors for Within-Batch Data Stealing and Model Inference Manipulation
Seed Selection for Human-Oriented Image Reconstruction via Guided Diffusion
Multiple Weaks Win Single Strong: Large Language Models Ensemble Weak Reinforcement Learning Agents into a Supreme One
Exploring the Correlation between Urban Microclimate Simulation and Urban Morphology: A Case Study in Yeongdeungpo-gu, Seoul
A Bayesian encourages dropout
Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge
Cloud Big Data Mining and Analytics: Bringing Greenness and Acceleration in the Cloud
On Graph Uncertainty Principle and Eigenvector Delocalization
Noisy Bayesian Active Learning
Learning to Walk with Less: a Dyna-Style Approach to Quadrupedal Locomotion
2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation
TensorFlow ManOpt: a library for optimization on Riemannian manifolds
Winning through Collaboration by Applying Federated Learning in Manufacturing Industry
Proving Calculational Proofs Correct
Vertical Handoff Decision Based On Genetic Algorithm in 4G Network
Hedging Strategies for Load-Serving Entities in Wholesale Electricity Markets
Interpretation of multi-label classification models using shapley values
Universal Mini-Batch Consistency for Set Encoding Functions
Identification and Avoidance of Static and Dynamic Obstacles on Point Cloud for UAVs Navigation
Continuous-time Discounted Mirror-Descent Dynamics in Monotone Concave Games
Streaming End-to-End Bilingual ASR Systems with Joint Language Identification
Concurrent Bursty Behavior of Social Sensors in Sporting Events
Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations
Interaction force estimation for tactile sensor arrays: Toward tactile-based interaction control for robotic fingers
Software Use in Astronomy: an Informal Survey
Is Learning in Biological Neural Networks based on Stochastic Gradient Descent? An analysis using stochastic processes
Scalable Spectrum Allocation and User Association in Networks with Many Small Cells
Belobog: Move Language Fuzzing Framework For Real-World Smart Contracts
Stacked What-Where Auto-encoders
Bitwuzla at the SMT-COMP 2020
Alternative models: Critical examination of disability definitions in the development of artificial intelligence technologies
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition
A Primer on PAC-Bayesian Learning
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization
On Energy-efficiency in Wireless Networks: A Game-theoretic Approach to Cooperation Inspired by Evolutionary Biology
Modeling Complex Domains of Actions and Change
Historical Inertia: An Ignored but Powerful Baseline for Long Sequence Time-series Forecasting
Exploring Geometry of Blind Spots in Vision Models
Examining average and discounted reward optimality criteria in reinforcement learning
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping
CausalARC: Abstract Reasoning with Causal World Models
Optimal Moebius Transformations for Information Visualization and Meshing
Capacity Analysis of Intersections When CAVs Crossing in a Collaborative and Lane-Free Order
A Comparison Between Meshless Radial Basis Function Collocation Method and Finite Element Method for Solving Poisson and Stokes Problems
Continual Learning with Invertible Generative Models
Power-Aware Run-Time Scheduler for Mixed-Criticality Systems on Multi-Core Platform
Topology Control of wireless sensor network using Quantum Inspired Genetic algorithm
Unambiguous Tree Languages Are Topologically Harder Than Deterministic Ones
Computing Betti tables and minimal presentations of zero-dimensional persistent homology
Partial Domain Adaptation Using Graph Convolutional Networks
Investigating Data-driven systems as digital twins: Numerical behavior of Ho-Kalman method for order estimation
DILEMMA: Joint LLM Quantization and Distributed LLM Inference Over Edge Computing Systems
The Impact of Incomplete Information on Network Formation with Heterogeneous Agents
FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
Constraint Energy Minimizing Generalized Multiscale Finite Element Method for Convection Diffusion Equations with Inhomogeneous Boundary Conditions
GPT as ghostwriter at the White House
A Faster Deterministic Distributed Algorithm for Weighted APSP Through Pipelining
On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
SurfClipse: Context-Aware Meta Search in the IDE
Teaching LLMs at Charles University: Assignments and Activities
Logic-based Task Representation and Reward Shaping in Multiagent Reinforcement Learning
Generalized Online Transfer Learning for Climate Control in Residential Buildings
Auto-Context R-CNN
Q-LIME π: A Quantum-Inspired Extension to LIME
Quality analysis of DCGAN-generated mammography lesions
PerPO: Perceptual Preference Optimization via Discriminative Rewarding
A new semi-supervised self-training method for lung cancer prediction
Shell topology optimization based on level set method
A Multimedia Analytics Model for the Foundation Model Era
Predicting Pulmonary Hypertension in Newborns: A Multi-view VAE Approach
Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM
Semi-Automated Segmentation of Geoscientific Data Using Superpixels
Core Building Blocks: Next Gen Geo Spatial GPT Application
Dependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis
Responsible Scoring Mechanisms Through Function Sampling
Semantic Editing with Coupled Stochastic Differential Equations
A Prediction Model for System Testing Defects using Regression Analysis
RGB-T Semantic Segmentation with Location, Activation, and Sharpening
SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data
Artificial Intelligence and Arms Control
HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation
Democratic summary of public opinions in free-response surveys
A Psycho-linguistic Analysis of BitChute
Clutter Detection and Removal by Multi-Objective Analysis for Photographic Guidance
Computing excited states with isometric tensor networks in two-dimensions
A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms
From Quantitative Spatial Operator to Qualitative Spatial Relation Using Constructive Solid Geometry, Logic Rules and Optimized 9-IM Model, A Semantic Based Approach
Sensor Fusion for Robot Control through Deep Reinforcement Learning
Grey Models for Short-Term Queue Length Predictions for Adaptive Traffic Signal Control
Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction
Onomastics and Big Data Mining
Blind and robust images watermarking based on wavelet and edge insertion
Fractionally-addressed delay lines
Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering
A Virtual Point Light Generation Method in Close-Range Area
Design optimization in unilateral contact using pressure constraints and Bayesian optimization
The mass-lumped midpoint scheme for computational micromagnetics: Newton linearization and application to magnetic skyrmion dynamics
11Plus-Bench: Demystifying Multimodal LLM Spatial Reasoning with Cognitive-Inspired Analysis
Together or Alone: The Price of Privacy in Joint Learning
CG-MER: A Card Game-based Multimodal dataset for Emotion Recognition
Kallini et al. (2024) do not compare impossible languages with constituency-based ones
Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning
Blown up by an equilateral: Poncelet triangles about the incircle and their degeneracies
Deep fused flow and topology features for botnet detection basing on pretrained GCN
Learning Hamiltonian dynamics by reservoir computer
A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection
Cheating-Resilient Incentive Scheme for Mobile Crowdsensing Systems
Workload-Aware Scheduling using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks
Wanting to be Understood
Autonomous Vehicles Using Multi-Agent Reinforcement Learning for Routing Decisions Can Harm Urban Traffic
On Transformations in Stochastic Gradient MCMC
A Technique for Deriving One-Shot Achievability Results in Network Information Theory
Sign-Constrained Regularized Loss Minimization
Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts
Enhancing Brain Source Reconstruction through Physics-Informed 3D Neural Networks
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis
Monadic Remote Invocation
Accelerating Probabilistic Response-Time Analysis: Revised Critical Instant and Optimized Convolution
mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder
Girls Create Games: Lessons Learned
PolMERLIN: Self-Supervised Polarimetric Complex SAR Image Despeckling with Masked Networks
Contextually learnt detection of unusual motion-based behaviour in crowded public spaces
Information & Environment: IoT-Powered Recommender Systems
Weakly-unambiguous Parikh automata and their link to holonomic series
Domain-Relevant Embeddings for Medical Question Similarity
Optimization-Augmented Machine Learning for Vehicle Operations in Emergency Medical Services
Optimal Frame Transmission for Scalable Video with Hierarchical Prediction Structure
Concept Drift Adaptation in Text Stream Mining Settings: A Comprehensive Review
Investigation on QoS of Campus-wide WiFi Networks
Gradual Domain Adaptation for Graph Learning
Joint Covering Congestion Rents in Multi-area Power Systems Considering Loop Flow Effects
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline
On Designing Good Representation Learning Models
Constructing a genome assembly that has the maximum likelihood
Are Multimodal Models Robust to Image and Text Perturbations?
Shape and Positional Geometry of Multi-Object Configurations
Harnessing Diverse Data for Global Disaster Prediction: A Multimodal Framework
Encoding cloth manipulations using a graph of states and transitions
A Novel Video Compression Approach Based on Underdetermined Blind Source Separation
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering
High-order discretized ACMS method for the simulation of finite-size two-dimensional photonic crystals
BotanicGarden: A high-quality and large-scale robot navigation dataset in challenging natural environments
A Step-by-Step Guide to Creating a Robust Autonomous Drone Testing Pipeline
Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies
Progressive Denoising Model for Fine-Grained Text-to-Image Generation
Memristor nanodevice for unconventional computing: review and applications
Recognition of Indian Sign Language in Live Video
When Secure Isn't: Assessing the Security of Machine Learning Model Sharing
Cyber Risk Assessment for Cyber-Physical Systems: A Review of Methodologies and Recommendations for Improved Assessment Effectiveness
Computing large deviation rate functions of entropy production for diffusion processes in the vanishing-noise limit and high dimensions by an interacting particle method
What You Get Is What You See: A Visual Markup Decompiler
Intersection Crossing with Future-Focused Control Barrier Functions
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing Diagnostic Accuracy in Alzheimer's Case Studies
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
Projective systems and bounds on the length of codes of non-zero defect
Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
Visual Reasoning with Natural Language
Gradient-Based Eigenvalue Optimization for Electromagnetic Cavities with Built-in Mode Matching
Momentum-Accelerated Richardson(m) and Their Multilevel Neural Solvers
Polynomial Transformation Method for Non-Gaussian Noise Environment
DABstep: Data Agent Benchmark for Multi-step Reasoning
Prompted Software Engineering in the Era of AI Models
Robust Structured Group Local Sparse Tracker Using Deep Features
Geodesic Distance Between Graphs: A Spectral Metric for Assessing the Stability of Graph Neural Networks
A Metric for Linear Symmetry-Based Disentanglement
Lovász's Theta Function, Rényi's Divergence and the Sphere-Packing Bound
Condensation-Concatenation Framework for Dynamic Graph Continual Learning
Automating Knowledge Acquisition for Content-Centric Cognitive Agents Using LLMs
FMNet: Latent Feature-wise Mapping Network for Cleaning up Noisy Micro-Doppler Spectrogram
Transfer learning to improve streamflow forecasts in data sparse regions
Temporal Properties of Conditional Independence in Dynamic Bayesian Networks
ForestColl: Efficient Collective Communications on Heterogeneous Network Fabrics
How Gold to Make the Golden Snitch: Designing the "Game Changer" in Esports
Longer Cycles in Essentially 4-Connected Planar Graphs
Learning Symmetries via Weight-Sharing with Doubly Stochastic Tensors
AMB-FHE: Adaptive Multi-biometric Fusion with Fully Homomorphic Encryption
Proving the NP-completeness of optimal moral graph triangulation
A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
An adaptive algorithm for the Euclidean Steiner tree problem in d-space
FineWeb2: One Pipeline to Scale Them All - Adapting Pre-Training Data Processing to Every Language
Various bounds on the minimum number of arcs in a k-dicritical digraph
Shallow Flow Matching for Coarse-to-Fine Text-to-Speech Synthesis
Aligned Textual Scoring Rules
Towards Trust and Reputation as a Service in a Blockchain-based Decentralized Marketplace
Too Big, so Fail? - Enabling Neural Construction Methods to Solve Large-Scale Routing Problems
Transformer based Urdu Handwritten Text Optical Character Reader
Split the Yield, Share the Risk: Pricing, Hedging and Fixed rates in DeFi
MCP Safety Training: Learning to Refuse Falsely Benign MCP Exploits using Improved Preference Alignment
DAG-Math: Graph-Guided Mathematical Reasoning in LLMs
Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability
Truncated Horizon Policy Search: Combining Reinforcement Learning & Imitation Learning
Indication Finding: a novel use case for representation learning
TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly Detection
The social graph based on real data
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia
Active Learning for Autonomous Intelligent Agents: Exploration, Curiosity, and Interaction
On Achievable Rates and Complexity of LDPC Codes for Parallel Channels with Application to Puncturing
A Personal Perspective on Numerical Analysis and Optimization
It Isn't Sh!tposting, It's My CAT Posting
Fitted finite element methods for singularly perturbed elliptic problems of convection-diffusion type
Is Optimal Transport Necessary for Inverse Reinforcement Learning?
To Simulate the Spread of Infectious Diseases by the Random Matrix
Privacy Protection of Automotive Location Data Based on Format-Preserving Encryption of Geographical Coordinates
MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration
Entropy-aware non-oscillatory high-order finite volume methods using the Dafermos entropy rate criterion
Origin-Destination Network Generation via Gravity-Guided GAN
Prime Collective Communications Library - Technical Report
P-Order: A Unified Convergence-Analysis Framework for Multivariate Iterative Methods
Enumerating regular languages in radix order : Revisiting the Ackerman-Shallit algorithm
An Efficient and Multi-private Key Secure Aggregation for Federated Learning
Understanding Artificial Neural Network's Behavior from Neuron Activation Perspective
Fine-Grained Expression Manipulation via Structured Latent Space
Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification
Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking
Experiences in Using the V-Model as a Framework for Applied Doctoral Research
A fast nonconvex Compressed Sensing algorithm for highly low-sampled MR images reconstruction
Supervised Graph Contrastive Learning for Gene Regulatory Network
Identification of Potentially Misclassified Crash Narratives using Machine Learning (ML) and Deep Learning (DL)
A Thousand Words are Worth More Than One Recording: NLP Based Speaker Change Point Detection
From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges
ECG Beats Fast Classification Base on Sparse Dictionaries
Combining Representation Learning with Tensor Factorization for Risk Factor Analysis - an application to Epilepsy and Alzheimer's disease
In Quest of Ground Truth: Learning Confident Models and Estimating Uncertainty in the Presence of Annotator Noise
Generalized friendship paradox in networks with tunable degree-attribute correlation
Isogeometric Multi-Resolution Full Waveform Inversion based on the Finite Cell Method
A Case for Dynamic Reverse-code Generation to Debug Non-deterministic Programs
Information-Propogation-Enhanced Neural Machine Translation by Relation Model
Blockchain-based Digital Twin for Supply Chain Management: A Literature Review and Future Research Directions
Portable Camera-Based Product Label Reading For Blind People
LPWAN based IoT Architecture for Distributed Energy Monitoring in Deep Indoor Environments
MULTEXT-East
Discovering strategies for coastal resilience with AI-based prediction and optimization
Approximation algorithms for maximally balanced connected graph partition
Differentiable Programming for Differential Equations: A Review
Evolution analysis of software quality metrics in an open-source java project: A case study on TestNG
Design of Bistable Soft Deployable Structures via a Kirigami-inspired Planar Fabrication Approach
BigSparse: High-performance external graph analytics
Segmentation et Interprétation de Nuages de Points pour la Modélisation d'Environnements Urbains
Dual Half-integrality for Uncrossable Cut Cover and its Application to Maximum Half-Integral Flow
Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision Making
A New Approach for Super resolution by Using Web Images and FFT Based Image Registration
Technical Report for SoccerNet Challenge 2022 - Replay Grounding Task
Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases
SAM-guided Graph Cut for 3D Instance Segmentation
A Note On The Popularity of Stochastic Optimization Algorithms in Different Fields: A Quantitative Analysis from 2007 to 2017
Siamese networks for generating adversarial examples
Performance of Distribution Regression with Doubling Measure under the seek of Closest Point
Mamo: a Mathematical Modeling Benchmark with Solvers
About the size of Google Scholar: playing the numbers
Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors
Multi-robot connection towards collective obstacle field traversal
Constraining Multi-scale Pairwise Features between Encoder and Decoder Using Contrastive Learning for Unpaired Image-to-Image Translation
TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic
Distributed Learning with Dependent Samples
Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection
Climate Aware Deep Neural Networks (CADNN) for Wind Power Simulation
Multi-Intent Spoken Language Understanding: Methods, Trends, and Challenges
Graph-Aware Evolutionary Algorithms for Influence Maximization
Level set based eXtended finite element modelling of the response of fibrous networks under hygroscopic swelling
XAI Benchmark for Visual Explanation
Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
A New Notion of Regularity: Finite State Automata Accepting Graphs
Leadership without Leaders? Starters and Followers in Online Collective Action
Language-Agnostic Analysis of Speech Depression Detection
Unsupervised Learning Framework of Interest Point Via Properties Optimization
SST-GCN: The Sequential based Spatio-Temporal Graph Convolutional networks for Minute-level and Road-level Traffic Accident Risk Prediction
Iterative or Innovative? A Problem-Oriented Perspective for Code Optimization
AI-Enhanced Virtual Biopsies for Brain Tumor Diagnosis in Low Resource Settings
Robust Bioacoustic Detection via Richly Labelled Synthetic Soundscape Augmentation
UAV-enabled Secure Communication with Finite Blocklength
The Hybridization of Branch and Bound with Metaheuristics for Nonconvex Multiobjective Optimization
DANCE: Density-agnostic and Class-aware Network for Point Cloud Completion
Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization
Decoupled Block-Wise ILU(k) Preconditioner on GPU
Feature Extraction for Temporal Signal Recognition: An Overview
Genotype-Phenotype Integration through Machine Learning and Personalized Gene Regulatory Networks for Cancer Metastasis Prediction
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge
Uniform Proofs of Order Independence for Various Strategy Elimination Procedures
Data Representing Ground-Truth Explanations to Evaluate XAI Methods
Updating Katz centrality by counting walks
Interval Reachability Analysis using Second-Order Sensitivity
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL
Towards Knowledge-Enriched Path Computation
Geodesic diameter of a polygonal domain in O(n^4 log n) time
Perspective-aware Convolution for Monocular 3D Object Detection
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing
NeurOptimisation: The Spiking Way to Evolve
Optical Computation-in-Communication enables low-latency, high-fidelity perception in telesurgery
Deep Gaussian Mixture Models
A Hybrid Systems Model of Feedback Optimization for Linear Systems
KnightCap: A chess program that learns by combining TD(lambda) with game-tree search