
Generalization in Transfer Learning
Agents trained with deep reinforcement learning algorithms are capable o...
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SelfVIO: SelfSupervised Deep Monocular VisualInertial Odometry and Depth Estimation
In the last decade, numerous supervised deep learning approaches requiri...
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DeepFault: Fault Localization for Deep Neural Networks
Deep Neural Networks (DNNs) are increasingly deployed in safetycritical...
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Dropout Regularization in Hierarchical Mixture of Experts
Dropout is a very effective method in preventing overfitting and has bec...
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A Review, Framework and R toolkit for Exploring, Evaluating, and Comparing Visualizations
This paper gives a review and synthesis of methods of evaluating dimensi...
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Scorelevel Multi Cue Fusion for Sign Language Recognition
Sign Languages are expressed through hand and upper body gestures as wel...
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Differentially Private Variational Dropout
Deep neural networks with their large number of parameters are highly fl...
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Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots
Ingestible wireless capsule endoscopy is an emerging minimally invasive ...
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MagneticVisual Sensor Fusion based Medical SLAM for Endoscopic Capsule Robot
A reliable, realtime simultaneous localization and mapping (SLAM) metho...
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A NonRigid Map FusionBased RGBDepth SLAM Method for Endoscopic Capsule Robots
In the gastrointestinal (GI) tract endoscopy field, ingestible wireless ...
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A Deep Learning Based 6 DegreeofFreedom Localization Method for Endoscopic Capsule Robots
We present a robust deep learning based 6 degreesoffreedom (DoF) local...
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Effective MultiRobot Spatial Task Allocation using Model Approximations
Realworld multiagent planning problems cannot be solved using decision...
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Online Matrix Factorization via Broyden Updates
In this paper, we propose an online algorithm to compute matrix factoriz...
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Distributed Decision Trees
Recently proposed budding tree is a decision tree algorithm in which eve...
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A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction
Probabilistic approaches for tensor factorization aim to extract meaning...
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Autoencoder Trees
We discuss an autoencoder model in which the encoding and decoding funct...
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Summary Statistics for Partitionings and Feature Allocations
Infinite mixture models are commonly used for clustering. One can sample...
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Alpha/Beta Divergences and Tweedie Models
We describe the underlying probabilistic interpretation of alpha and bet...
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Morphological Embeddings for Named Entity Recognition in Morphologically Rich Languages
In this work, we present new stateoftheart results of 93.59, for Turk...
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OptimizationBased Decoding Algorithms for LDPC Convolutional Codes in Communication Systems
In a digital communication system, information is sent from one place to...
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Almost WellCovered Graphs Without Short Cycles
We study graphs in which the maximum and the minimum sizes of a maximal ...
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The Future is Unlicensed: Coexistence in the Unlicensed Spectrum for 5G
5G has to fulfill the requirements of ultradense, scalable, and customi...
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DeepDTA: Deep DrugTarget Binding Affinity Prediction
The identification of novel drugtarget (DT) interactions is a substanti...
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A novel methodology on distributed representations of proteins using their interacting ligands
The effective representation of proteins is a crucial task that directly...
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Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
Explainability and interpretability are two critical aspects of decision...
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Sensor and Sink Placement, Scheduling and Routing Algorithms for Connected Coverage of Wireless Sensor Networks
A sensor is a small electronic device which has the ability to sense, co...
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An Experimental Study of Factor Analysis over Cellular Network Data
Mobile Network Operators (MNOs) are evolving towards becoming datadrive...
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A BranchPriceandCut Algorithm for Optimal Decoding of LDPC Codes
Channel coding aims to minimize errors that occur during the transmissio...
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Identifying Topics from Micropost Collections using Linked Open Data
The extensive use of social media for sharing and obtaining information ...
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Continuously Constructive Deep Neural Networks
Traditionally, deep learning algorithms update the network weights where...
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Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey
The Data for Refugees (D4R) Challenge is a nonprofit challenge initiate...
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Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags
Previous studies have shown that linguistic features of a word such as p...
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EndtoEnd Deep Imitation Learning: Robot Soccer Case Study
In imitation learning, behavior learning is generally done using the fea...
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Conditional Information Gain Networks
Deep neural network models owe their representational power to the high ...
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Analysis of ContentOriented Heterogeneous Networks with D2D and Cognitive Communications
Contentoriented operation with D2D communications and spectrum sharing ...
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Designing a blockchainbased IoT infrastructure with Ethereum, Swarm and LoRa
Today, the number of IoT devices in all aspects of life is exponentially...
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IDMoB: IoT Data Marketplace on Blockchain
Today, Internet of Things (IoT) devices are the powerhouse of data gener...
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Named Entity Recognition on Twitter for Turkish using Semisupervised Learning with Word Embeddings
Recently, due to the increasing popularity of social media, the necessit...
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Renarration for All
The accessibility of content for all has been a key goal of the Web sinc...
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Generation of random chordal graphs using subtrees of a tree
Chordal graphs form one of the most studied graph classes. Several graph...
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A chemical language based approach for protein  ligand interaction prediction
Identification of high affinity drugtarget interactions (DTI) is a majo...
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Mind the Independence Gap
The independence gap of a graph was introduced by Ekim et al. (2018) as ...
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Practical Polar Code Construction Using Generalised Generator Matrices
Polar coding is a recently proposed coding technique that can provably a...
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Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks
Diffusion reach probability between two nodes on a network is defined as...
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Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns
We introduce a dynamic generative model, Bayesian allocation model (BAM)...
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The Complexity of Subtree Intersection Representation of Chordal Graphs and Linear Time Chordal Graph Generation
It is known that any chordal graph on n vertices can be represented as t...
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An Exploratory Analysis of Biased Learners in SoftSensing Frames
Data driven soft sensor design has recently gained immense popularity, d...
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A Bayesian Choice Model for Eliminating Feedback Loops
Selfreinforcing feedback loops in personalization systems are typically...
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MilliRIO: EgoMotion Estimation with MillimetreWave Radar and Inertial Measurement Unit Sensor
With the fastgrowing demand of locationbased services in various indoo...
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Learning Maximally Predictive Prototypes in Multiple Instance Learning
In this work, we propose a simple model that provides permutation invari...
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Boğaziçi University
Boğaziçi University is a major research university located on the European side of the Bosphorus strait in Istanbul, Turkey.