yusuke1997/dblp-id-title huggingface dataset:
Learning Continuous Rotation Canonicalization with Radial Beam Sampling
All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey
The Singapore Consensus on Global AI Safety Research Priorities
Measuring Software Quality in Use: State-of-the-Art and Research Challenges
Online learning of both state and dynamics using ensemble Kalman filters
Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images
Improved Rate-Energy Trade-off For SWIPT Using Chordal Distance Decomposition In Interference Alignment Networks
Open Problems in Applied Deep Learning
Text Line Identification in Tagore's Manuscript
Towards Optimal Sorting of 16 Elements
AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment
SkinGPT-R1: Adapter-Only Dual Distillation for Efficient Dermatology Reasoning
Optimizing Version AoI in Energy-Harvesting IoT: Model-Based and Learning-Based Approaches
Look Who's Talking Now: Implications of AV's Explanations on Driver's Trust, AV Preference, Anxiety and Mental Workload
Disability Representations: Finding Biases in Automatic Image Generation
Learning Behavioral Soft Constraints from Demonstrations
Parser Knows Best: Testing DBMS with Coverage-Guided Grammar-Rule Traversal
Deep Poincare Map For Robust Medical Image Segmentation
MOOCRep: A Unified Pre-trained Embedding of MOOC Entities
Miniaturized Fluorescence Excitation Platform with Optical Fiber for Bio-Detection Chips
Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithms
Eco-Vehicular Edge Networks for Connected Transportation: A Decentralized Multi-Agent Reinforcement Learning Approach
Coverage Optimization of Camera Network for Continuous Deformable Object
Deep Reinforcement Learning Based Mobile Edge Computing for Intelligent Internet of Things
Multiple-Step Quantized Triplet STDP Implemented with Memristive Synapse
HA-FGOVD: Highlighting Fine-grained Attributes via Explicit Linear Composition for Open-Vocabulary Object Detection
Recommending best course of treatment based on similarities of prognostic markers
ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence
Generalizable Machine Learning in Neuroscience using Graph Neural Networks
The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence
Mechanistic Modeling of Lipid Nanoparticle Formation for the Delivery of Nucleic Acid Therapeutics
MIMIC-IT: Multi-Modal In-Context Instruction Tuning
Lattice Sequential Decoder for Coded MIMO Channel: Performance and Complexity Analysis
New bounds Under Restricted Isometry for the exact k-sparse recovery via ℓ q minimization
The Role of Diversity in In-Context Learning for Large Language Models
"I understand why I got this grade": Automatic Short Answer Grading with Feedback
Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection
Opinion control in complex networks
Verifying Safety of Neural Networks from Topological Perspectives
Generation of Infra sound to replicate a wind turbine
Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy
Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization
VDD: Varied Drone Dataset for Semantic Segmentation
Stuttgart Open Relay Degradation Dataset (SOReDD)
Verifiable Accuracy and Abstention Rewards in Curriculum RL to Alleviate Lost-in-Conversation
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI
ViR: the Vision Reservoir
Annotating shadows, highlights and faces: the contribution of a 'human in the loop' for digital art history
A Steganographic Design Paradigm for General Steganographic Objectives
Coherent Flag Codes
The Narrow Gate: Localized Image-Text Communication in Vision-Language Models
WaveMAE: Wavelet decomposition Masked Auto-Encoder for Remote Sensing
Predicting Polymer Solubility in Solvents Using SMILES Strings
The GENEA Challenge 2023: A large scale evaluation of gesture generation models in monadic and dyadic settings
Minimizing interference-to-signal ratios in multi-cell networks
Hilbert-Guided Block-Sparse Local Attention
A 2-Approximation Algorithm for Data-Distributed Metric k-Center
A Cyclic Shift Embedded Pilot based Channel Estimation for Multi-User MIMO-OTFS systems with fractional delay and Doppler
An Efficient Deep Convolutional Neural Network Model For Yoga Pose Recognition Using Single Images
Semidefinite Programming for Community Detection with Side Information
User Association and Resource Allocation in 5G (AURA-5G): A Joint Optimization Framework
Towards Instance-Optimality in Online PAC Reinforcement Learning
Hformer: Hybrid CNN-Transformer for Fringe Order Prediction in Phase Unwrapping of Fringe Projection
Twins in rotational spectroscopy: Does a rotational spectrum uniquely identify a molecule?
Efficient support ticket resolution using Knowledge Graphs
Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey
A Regime-Aware Fusion Framework for Time Series Classification
Using Large Text-to-Image Models with Structured Prompts for Skin Disease Identification: A Case Study
TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation
A Distance Metric for Mixed Integer Programming Instances
Amplifying Main Memory-Based Timing Covert and Side Channels using Processing-in-Memory Operations
Optimizing Violence Detection in Video Classification Accuracy through 3D Convolutional Neural Networks
Privacy in Open Search: A Review of Challenges and Solutions
Differentially Private Online-to-Batch for Smooth Losses
Java Decompiler Diversity and its Application to Meta-decompilation
Mobility-GCN: a human mobility-based graph convolutional network for tracking and analyzing the spatial dynamics of the synthetic opioid crisis in the USA, 2013-2020
Generating theorem proving procedures from axioms of Truncated Predicate Calculus
Clotho: An Audio Captioning Dataset
Contour-weighted loss for class-imbalanced image segmentation
Assessing Active Distribution Network Flexibility: On the Effects of Nonlinearities and Nonconvexities
Automated Vehicle Safety Guarantee, Verification and Certification: A Survey
Generalized State-Dependent Exploration for Deep Reinforcement Learning in Robotics
Addressing Hidden Imperfections in Online Experimentation
On the Effect of Defections in Federated Learning and How to Prevent Them
An Information Theoretic Study for Noisy Compressed Sensing With Joint Sparsity Model-2
Simulation Credibility Assessment Methodology with FPGA-based Hardware-in-the-loop Platform
Empirical Comparison of Lightweight Forecasting Models for Seasonal and Non-Seasonal Time Series
Development of Wireless Techniques in Data and Power Transmission - Application for Particle Physics Detectors
Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems
Multi-rate Sub-Nyquist Spectrum Sensing in Cognitive Radios
Deep Learning Innovations in Diagnosing Diabetic Retinopathy: The Potential of Transfer Learning and the DiaCNN Model
Mixture of Horizons in Action Chunking
Automating Expert-Level Medical Reasoning Evaluation of Large Language Models
Stability of Interconnected DC Converters
Agile Research
How quantum and evolutionary algorithms can help each other: two examples
Efficient simulation of the heat transfer in fused filament fabrication
Decapitation via Digital Epidemics: A Bio-Inspired Transmissive Attack
An Integrated Optimization+ Learning Approach to Optimal Dynamic Pricing for the Retailer with Multi-type Customers in Smart Grids
Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024
Search for Smart Evaders with Swarms of Sweeping Agents
Generalizability of Media Frames: Corpus creation and analysis across countries
Consensus ADMM for Inverse Problems Governed by Multiple PDE Models
Code-enabled language models can outperform reasoning models on diverse tasks
The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields - Physics, Mathematics & Computer Science
Discrete Microlocal Morse Theory
Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models
Competitive Equilibrium for Dynamic Multi-Agent Systems: Social Shaping and Price Trajectories
Exploring the Efficacy of Convolutional Neural Networks in Sleep Apnea Detection from Single Channel EEG
Challenges in Community Discovery on Temporal Networks
A spectral surrogate model for stochastic simulators computed from trajectory samples
DanceAnyWay: Synthesizing Mixed-Genre 3D Dance Movements Through Beat Disentanglement
A TDOA technique with Super-Resolution based on the Volume Cross-Correlation Function
Computing the Weight Distribution of the Binary Reed-Muller Code R(4, 9)
Enumerating Some Fractional Repetition Codes
Neural machine translation system for Lezgian, Russian and Azerbaijani languages
How Much Partiality Is Needed for a Theory of Computability?
When HLS Meets FPGA HBM: Benchmarking and Bandwidth Optimization
EduCTX: A blockchain-based higher education credit platform
Sparse Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty
Broadband Multizone Sound Rendering by Jointly Optimizing the Sound Pressure and Particle Velocity
IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression
GUI-based Pedicle Screw Planning on Fluoroscopic Images Utilizing Vertebral Segmentation
Ensemble Semi-supervised Entity Alignment via Cycle-teaching
Deep Learning With DAGs
WebRec: Enhancing LLM-based Recommendations with Attention-guided RAG from Web
CROSSCON: Cross-platform Open Security Stack for Connected Devices
A TRRIP Down Memory Lane: Temperature-Based Re-Reference Interval Prediction For Instruction Caching
Bidirectional Recurrent Models for Offensive Tweet Classification
QUBO Formulations for Variation of Domination Problem
Simultaneous x, y Pixel Estimation and Feature Extraction for Multiple Small Objects in a Scene: A Description of the ALIEN Network
SeedGNN: Graph Neural Networks for Supervised Seeded Graph Matching
NACS: non-overlapping AP's caching scheme to reduce handoff in 802.11 wireless LAN
Results of improved fractional/integer order PDE-based binarization model
Fine-grained Video Categorization with Redundancy Reduction Attention
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
Adaptive Point-to-Multipoint Transmission for Multimedia Broadcast Multicast Services in LTE
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization
Deciding Probabilistic Program Equivalence in NetKAT
DMTrack: Deformable State-Space Modeling for UAV Multi-Object Tracking with Kalman Fusion and Uncertainty-Aware Association
Fully Convolutional Networks to Detect Clinical Dermoscopic Features
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces
The Influence of Person-Specific Biometrics in Improving Generic Stress Predictive Models
Multigrid-in-Channels Neural Network Architectures
Enhancing Early Alzheimer Disease Detection through Big Data and Ensemble Few-Shot Learning
NLP Research and Resources at DaSciM, Ecole Polytechnique
Predicting membrane protein contacts from non-membrane proteins by deep transfer learning
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF: A Reproducibility Study
Barycentric coordinate neighbourhoods in Riemannian manifolds
Efficient Vision-Language Reasoning via Adaptive Token Pruning
A Unified Framework for Nonmonotonic Reasoning with Vagueness and Uncertainty
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
AlbNews: A Corpus of Headlines for Topic Modeling in Albanian
The Landscape of Complex Networks
Nakamoto Consensus with Verifiable Delay Puzzle
A Study on Software Metrics and its Impact on Software Quality
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
The CompGIT package: a computational tool for Geometric Invariant Theory quotients
On house renovation and coauthoring (with a little excursus on the Holy Grail of bibliometrics)
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating
Asymptotics of Continuous Bayes for Non-i.i.d. Sources
Simple-QE: Better Automatic Quality Estimation for Text Simplification
Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks
ASMDD: Arabic Speech Mispronunciation Detection Dataset
Enhance Multimodal Model Performance with Data Augmentation: Facebook Hateful Meme Challenge Solution
Dose Prediction Driven Radiotherapy Paramters Regression via Intra- and Inter-Relation Modeling
PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentation
JUMBO: Fully Asynchronous BFT Consensus Made Truly Scalable
Multi-scale Masked Autoencoder for Electrocardiogram Anomaly Detection
A note on polynomial-time tolerant testing stabilizer states
Towards automatic construction of multi-network models for heterogeneous multi-task learning
Neural Brownian Motion
A Training-Free Style-Personalization via Scale-wise Autoregressive Model
Mixed reality technologies for people with dementia: Participatory evaluation methods
The Complexity of Satisfiability for Fragments of Hybrid Logic -- Part I
Vision-Based Target Localization for a Flapping-Wing Aerial Vehicle
AMAQA: A Metadata-based QA Dataset for RAG Systems
EXPO: Stable Reinforcement Learning with Expressive Policies
On bicluster aggregation and its benefits for enumerative solutions
Limited Feedback for Temporally Correlated MIMO Channels with Other Cell Interference
Benchmarking Classical, Deep, and Generative Models for Human Activity Recognition
Expanding Label Sets for Graph Convolutional Networks
CertainNet: Sampling-free Uncertainty Estimation for Object Detection
The Turkish Ice Cream Robot: Examining Playful Deception in Social Human-Robot Interactions
An exact representation of the fermion dynamics in terms of Poisson processes and its connection with Monte Carlo algorithms
A Class of DCT Approximations Based on the Feig-Winograd Algorithm
Free-rider Episode Screening via Dual Partition Model
Easy-access online social media metrics can effectively identify misinformation sharing users
Joint Data and Semantics Lossy Compression: Nonasymptotic Converse Bounds and Second-Order Asymptotics
An Orchestration Framework for Open System Models of Reconfigurable Intelligent Surfaces
Energy-Efficient Resource Allocation in Multiuser OFDM Systems with Wireless Information and Power Transfer
Grasp-MPC: Closed-Loop Visual Grasping via Value-Guided Model Predictive Control
Hybrid LSTM and PPO Networks for Dynamic Portfolio Optimization
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI
Deep Reinforcement Learning with anticipatory reward in LSTM for Collision Avoidance of Mobile Robots
Computing Resolution-Path Dependencies in Linear Time
Global optimization of dielectric metasurfaces using a physics-driven neural network
Identifying Metastases in Sentinel Lymph Nodes with Deep Convolutional Neural Networks
A2P-Vis: an Analyzer-to-Presenter Agentic Pipeline for Visual Insights Generation and Reporting
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy
Information Fusion in the Immune System
The Dawn of Open Access to Phylogenetic Data
Artificial Intelligence: Framework of driving triggers to past, present and future applications and influencers of industry sector adoption
LLM-Crowdsourced: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models
Optimal cooperative motion planning for vehicles at intersections
Convolutional Filtering with RKHS Algebras
Non-isothermal direct bundle simulation of SMC compression molding with a non-Newtonian compressible matrix
Homogeneous temporal activity patterns in a large online communication space
GeoMFree3D: An Under-Development Meshfree Software Package for Geomechanics
Detecting Satire in the News with Machine Learning
Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools
Metabook: An Automatically Generated Augmented Reality Storybook Interaction System to Improve Children's Engagement in Storytelling
Low-rank representation of tensor network operators with long-range pairwise interactions
Recovering the homology of immersed manifolds
Automated Large-scale Class Scheduling in MiniZinc
Elliptic-cylindrical Wavelets: The Mathieu Wavelets
Learning Discrepancy Models From Experimental Data
Guided patch-wise nonlocal SAR despeckling
Modelling an Automatic Proof Generator for Functional Dependency Rules Using Colored Petri Net
Image Compositing for Segmentation of Surgical Tools without Manual Annotations
An Improved Exact Algorithm for the Domatic Number Problem
Parallel Monitors for Self-adaptive Sessions
Super Resolution for Root Imaging
Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure
Dual-path Adaptation from Image to Video Transformers
Algorithmic UDAP
Proceedings Tenth and Eleventh International Workshop on Trends in Functional Programming In Education, TFPIE 2021 / 2022, Kraków, Poland (online), 16th February 2021 / 16th March 2022
Chain of Tools: Large Language Model is an Automatic Multi-tool Learner
Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7
Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation
Entropy, Optimization and Counting
Memcomputing: a computing paradigm to store and process information on the same physical platform
BEADs: Bias Evaluation Across Domains
Finite Element Systems for vector bundles : elasticity and curvature
An Edge Extrusion-Approach to Generate Extruded Miura-Ori and Its Double Tiling Origami Patterns
Nonparametric Bellman Mappings for Value Iteration in Distributed Reinforcement Learning
A new distance measure of Pythagorean fuzzy sets based on matrix and and its application in medical diagnosis
A Simulation of UAV Power Optimization via Reinforcement Learning
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector
Perfect tag identification protocol in RFID networks
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification
Lower Bounds for Approximate LDC
Sequence-to-sequence Models for Small-Footprint Keyword Spotting
SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models
On Continuous Optimization for Constraint Satisfaction Problems
Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization
Step by Step to Fairness: Attributing Societal Bias in Task-oriented Dialogue Systems
Renormalizable Spectral-Shell Dynamics as the Origin of Neural Scaling Laws
CCWSIM: An Efficient and Fast Wavelet-Based CCSIM for Categorical Characterization of Large-Scale
Millimeter-Wave Sensing for Avoidance of High-Risk Ground Conditions for Mobile Robots
Tackling Multiple Tasks with One Single Learning Framework
Learning Latent Dynamics for Partially-Observed Chaotic Systems
Attention-guided Network for Ghost-free High Dynamic Range Imaging
Recursive Estimation for Dynamical Systems with Measurement Bias, Outliers and Constraints
Design and Implementation of Bit Transition Counter
Bilateral-Fuser: A Novel Multi-cue Fusion Architecture with Anatomical-aware Tokens for Fovea Localization
Robust Plan Execution with Unexpected Observations
Noise Analysis for Performance Evaluation of Biopotential Recording Front-Ends
Semi-supervised Fr\'echet Regression
Algorithm and Architecture for Hybrid Decoding of Polar Codes
The "...system of constraints"
Ergodic Capacity of Cognitive Radio under Imperfect Channel State Information
Accelerating Materials Development via Automation, Machine Learning, and High-Performance Computing
Catastrophic overfitting is a bug but also a feature
Machine-learning applied to classify flow-induced sound parameters from simulated human voice
Real-Time Navigation System for a Low-Cost Mobile Robot with an RGB-D Camera
Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata
A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem
Joint learning of variational representations and solvers for inverse problems with partially-observed data
A Decision Making Approach for Chemotherapy Planning based on Evolutionary Processing
VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive Steering
FITS Checksum Proposal
Homophilic networks evolving by mimesis
Multimedia stimuli databases usage patterns: a survey report
Logic-Constrained Shortest Paths for Flight Planning
Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices
The Daunting Dilemma with Sentence Encoders: Success on Standard Benchmarks, Failure in Capturing Basic Semantic Properties
Optimal Strategies in Ranked Choice Voting
Divide and Conquer: Partitioning Online Social Networks
Interactive query expansion for professional search applications
An extension of a result concerning convex geometric graphs
Global Semantic Consistency for Zero-Shot Learning
LatentForensics: Towards lighter deepfake detection in the StyleGAN latent space
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions
ASTREA: Introducing Agentic Intelligence for Orbital Thermal Autonomy
From Unlearning to UNBRANDING: A Benchmark for Trademark-Safe Text-to-Image Generation
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation
Normalized Iterative Hard Thresholding for Tensor Recovery
Optimization-based Causal Estimation from Heterogenous Environments
Finding Relationships between Socio-Technical Aspects and Personality Traits by Mining Developer E-mails
Audio-Visual MLP for Scoring Sport
A unified Neural Network Approach to E-CommerceRelevance Learning
An Evolutionary Approach to Coalition Formation
Automated Ensemble-Based Segmentation of Pediatric Brain Tumors: A Novel Approach Using the CBTN-CONNECT-ASNR-MICCAI BraTS-PEDs 2023 Challenge Data
Morphological Analusis Of The Left Ventricular Eendocardial Surface Using A Bag-Of-Features Descriptor
MedForge: Building Medical Foundation Models Like Open Source Software Development
CLIP Unreasonable Potential in Single-Shot Face Recognition
Neural Inference of Gaussian Processes for Time Series Data of Quasars
Leveraging Large Language Models for Semantic Query Processing in a Scholarly Knowledge Graph
Efficient Long-Decoding Inference with Reasoning-Aware Attention Sparsity
A Unified Approximation Framework for Deep Neural Networks
A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture
TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data
Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Essential arity gap of Boolean functions