Name
Affiliation
Papers
MELIH KANDEMIR
Department of Information and Computer Science, Helsinki Institute for Information Technology HIIT, Aalto University School of Science, Finland
33
Collaborators
Citations 
PageRank 
59
182
16.91
Referers 
Referees 
References 
533
872
399
Search Limit
100872
Title
Citations
PageRank
Year
Evidential Turing Processes00.342022
PAC-Bayesian lifelong learning for multi-armed bandits00.342022
Learning Partially Known Stochastic Dynamics With Empirical Pac Bayes00.342021
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation.10.342019
Deep Active Learning with Adaptive Acquisition.10.372019
Bayesian Prior Networks with PAC Training.00.342019
Supervising topic models with Gaussian processes.30.372018
On Context-Aware DDoS Attacks Using Deep Generative Networks00.342018
Sampling-Free Variational Inference of Bayesian Neural Nets.30.382018
Variational closed-Form deep neural net inference.00.342018
Evidential Deep Learning to Quantify Classification Uncertainty.10.352018
Variational Bayesian Multiple Instance Learning with Gaussian Processes20.362017
Gaussian Process Density Counting From Weak Supervision40.392016
Variational Weakly Supervised Gaussian Processes.00.342016
Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals.70.672015
Detection Of Retinopathy Of Prematurity Using Multiple Instance Learning00.342015
Asymmetric Transfer Learning with Deep Gaussian Processes120.552015
The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors00.342015
Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations.20.382015
Computer-aided diagnosis from weak supervision: A benchmarking study.240.772015
Empowering multiple instance histopathology cancer diagnosis by cell graphs.210.742014
Multi-task and multi-view learning of user state50.482014
Multiple Instance Learning with Response-Optimized Random Forests.00.342014
Instance Label Prediction By Dirichlet Process Multiple Instance Learning50.432014
Digital pathology: Multiple instance learning can detect Barrett's cancer.100.632014
Event detection by feature unpredictability in phase-contrast videos of cell cultures.20.402014
Unsupervised inference of auditory attention from biosensors00.342012
Learning relevance from natural eye movements in pervasive interfaces20.362012
An Augmented Reality Interface to Contextual Information130.882011
Multitask learning using regularized multiple kernel learning20.382011
Automatic segmentation of colon glands using object-graphs.412.222010
Inferring object relevance from gaze in dynamic scenes60.732010
Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection151.022009