Name
Affiliation
Papers
STANISLAW SAGANOWSKI
Inst. of Inf., Wroclaw Univ. of Technol., Wroclaw, Poland
21
Collaborators
Citations 
PageRank 
37
121
10.75
Referers 
Referees 
References 
236
164
147
Search Limit
100236
Title
Citations
PageRank
Year
How To Catch Them All? Enhanced Data Collection For Emotion Recognition In The Field00.342021
A Resource-Aware Method for Parallel D2D Data Streaming.00.342021
Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data.00.342020
Consumer Wearables and Affective Computing for Wellbeing Support00.342020
Predicting the Evolution of Physics Research from a Complex Network Perspective00.342019
Using Machine Learning to Predict the Evolution of Physics Research.00.342018
Analysis of Social Group Dynamics00.342017
Analysis Of Group Evolution Prediction In Complex Networks00.342017
TRANSFoRm eHealth Solution for Quality of Life Monitoring.00.342016
Community Evolution.00.342016
Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials.30.402016
Mobile eHealth solution (ePRO)00.342015
Predicting Community Evolution in Social Networks30.392015
Predicting Community Evolution in Social Networks.90.562015
Influence Of The User Importance Measure On The Group Evolution Discovery00.342013
Group Evolution Discovery in Social Networks130.822013
GED: the method for group evolution discovery in social networks551.932013
Different approaches to community evolution prediction in blogosphere150.782013
Identification of Group Changes in Blogosphere180.942012
Influence of the Dynamic Social Network Timeframe Type and Size on the Group Evolution Discovery40.442012
Tracking group evolution in social networks10.432011