Alexander Jung

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 97

Top Venues

CoRR

ICASSP

IEEE Signal Process. Lett.

EUSIPCO

Publications

Jun Yang, Pia Fricker, Alexander Jung
From intangible to tangible: The role of big data and machine learning in walkability studies. Comput. Environ. Urban Syst. 109 (2024)
Stefan Hessel, Alexander Jung
Datenschutzrechtliche Herausforderungen bei der Verwertung von Daten vernetzter Medizinprodukte. Datenschutz und Datensicherheit (dud) 48 (5) (2024)
Alexander Jung, Helge Parzyjegla, Peter Danielis
Opportunistic Protocols for People Counting in Dynamic Networks. CCNC (2024)
Christophe Nicolet, Antoine Béguin, Matthieu Dreyer, Sébastien Alligné, Alexander Jung, Diogo Cordeiro, Carlos Moreira
Inertia emulation contribution of Frades 2 variable speed pump-turbine to power network stability. CoRR (2024)
Xu Yang, Yu Tian, Irene Schicker, Alexander Jung
Wind to start the washing machine? High-Resolution Wind Atlas for Finland. CoRR (2023)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Alexander Jung, Stefan Werner
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization. CoRR (2023)
Yasmin Sarcheshmehpour, Yu Tian, Linli Zhang, Alexander Jung
Clustered Federated Learning via Generalized Total Variation Minimization. IEEE Trans. Signal Process. 71 (2023)
Argyrios Petras, Matthias A. F. Gsell, Christoph M. Augustin, Jairo Rodríguez-Padilla, Alexander Jung, Marina Strocchi, Frits W. Prinzen, Steven A. Niederer, Gernot Plank, Edward J. Vigmond
Mechanoelectric effects in healthy cardiac function and under Left Bundle Branch Block pathology. Comput. Biol. Medicine 156 (2023)
Reza Mirzaeifard, Naveen K. D. Venkategowda, Alexander Jung, Stefan Werner
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization. APSIPA ASC (2023)
Moloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi
Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification. IEEE Trans. Ind. Informatics 19 (1) (2023)
Hugo Lefeuvre, Vlad-Andrei Badoiu, Alexander Jung, Stefan Lucian Teodorescu, Sebastian Rauch, Felipe Huici, Costin Raiciu, Pierre Olivier
FlexOS: towards flexible OS isolation. ASPLOS (2022)
Jinping Sui, Zhen Liu, Li Liu, Alexander Jung, Xiang Li
Dynamic Sparse Subspace Clustering for Evolving High-Dimensional Data Streams. IEEE Trans. Cybern. 52 (6) (2022)
Yasmin Sarcheshmehpour, Yu Tian, Linli Zhang, Alexander Jung
flow-based clustering and spectral clustering: a comparison. CoRR (2022)
Pasi Pyrrö, Hassan Naseri, Alexander Jung
Rethinking Drone-Based Search and Rescue with Aerial Person Detection. CoRR (2021)
Simon Kuenzer, Vlad-Andrei Badoiu, Hugo Lefeuvre, Sharan Santhanam, Alexander Jung, Gaulthier Gain, Cyril Soldani, Costin Lupu, Stefan Teodorescu, Costi Raducanu, Cristian Banu, Laurent Mathy, Razvan Deaconescu, Costin Raiciu, Felipe Huici
Unikraft: fast, specialized unikernels the easy way. EuroSys (2021)
Yasmin SarcheshmehPour, Yu Tian, Linli Zhang, Alexander Jung
Flow-Based Clustering and Spectral Clustering: A Comparison. ACSCC (2021)
Hugo Lefeuvre, Vlad-Andrei Badoiu, Alexander Jung, Stefan Teodorescu, Sebastian Rauch, Felipe Huici, Costin Raiciu, Pierre Olivier
FlexOS: Towards Flexible OS Isolation. CoRR (2021)
Yasmin Sarcheshmehpour, Yu Tian, Linli Zhang, Alexander Jung
Networked Federated Multi-Task Learning. CoRR (2021)
Alexander Jung, Hugo Lefeuvre, Charalampos Rotsos, Pierre Olivier, Daniel Oñoro-Rubio, Felipe Huici, Mathias Niepert
Wayfinder: towards automatically deriving optimal OS configurations. APSys (2021)
Yasmin Sarcheshmehpour, M. Leinonen, Alexander Jung
Federated Learning from Big Data Over Networks. ICASSP (2021)
Simon Kuenzer, Vlad-Andrei Badoiu, Hugo Lefeuvre, Sharan Santhanam, Alexander Jung, Gaulthier Gain, Cyril Soldani, Costin Lupu, Stefan Teodorescu, Costi Raducanu, Cristian Banu, Laurent Mathy, Razvan Deaconescu, Costin Raiciu, Felipe Huici
Unikraft: Fast, Specialized Unikernels the Easy Way. CoRR (2021)
Alexander Jung, Yasmin Sarcheshmehpour
Local Graph Clustering With Network Lasso. IEEE Signal Process. Lett. 28 (2021)
Alexander Jung
On the Duality Between Network Flows and Network Lasso. IEEE Signal Process. Lett. 27 (2020)
Alexander Jung, Pedro H. J. Nardelli
An Information-Theoretic Approach to Personalized Explainable Machine Learning. IEEE Signal Process. Lett. 27 (2020)
Alexander Jung, Pedro H. J. Nardelli
An Information-Theoretic Approach to Personalized Explainable Machine Learning. CoRR (2020)
Alexander Jung
Explainable Empirical Risk Minimization. CoRR (2020)
Alexander Jung
Local Graph Clustering with Network Lasso. CoRR (2020)
Timo Huuhtanen, Alexander Jung
Anomaly Location Detection with Electrical Impedance Tomography Using Multilayer Perceptrons. MLSP (2020)
Yasmin Sarcheshmehpour, M. Leinonen, Alexander Jung
Federated Learning From Big Data Over Networks. CoRR (2020)
Dick Carrillo, Lam Duc Nguyen, Pedro H. J. Nardelli, Evangelos Pournaras, Plinio Morita, Demóstenes Z. Rodríguez, Merim Dzaferagic, Harun Siljak, Alexander Jung, Laurent Hébert-Dufresne, Irene Macaluso, Mehar Ullah, Gustavo Fraidenraich, Petar Popovski
Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response. CoRR (2020)
Nguyen Q. Tran, Henrik Ambos, Alexander Jung
Classifying Partially Labeled Networked Data VIA Logistic Network Lasso. ICASSP (2020)
Henrik E. C. Cao, Riku Sarlin, Alexander Jung
Learning Explainable Decision Rules via Maximum Satisfiability. IEEE Access 8 (2020)
Alexander Jung
Networked Exponential Families for Big Data Over Networks. IEEE Access 8 (2020)
Alexander Jung
Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization. ACSSC (2020)
Timo Huuhtanen, Antti Lankinen, Alexander Jung
Target Tracking on Sensing Surface with Electrical Impedance Tomography. EUSIPCO (2020)
Sharan Santhanam, Simon Kuenzer, Hugo Lefeuvre, Felipe Huici, Alexander Jung, Santiago Pagani, George-Cristian Muraru, Stefano Stabellini, Justin He, Jonathan Beri
Towards Highly Specialized, POSIX -compliant Software Stacks with Unikraft: Work-in-Progress. EMSOFT (2020)
Nguyen Q. Tran, Oleksii Abramenko, Alexander Jung
On the Sample Complexity of Graphical Model Selection From Non-Stationary Samples. IEEE Trans. Signal Process. 68 (2020)
Alexander Jung
Learning Networked Exponential Families with Network Lasso. CoRR (2019)
Nguyen Q. Tran, Henrik Ambos, Alexander Jung
Classifying Partially Labeled Networked Data via Logistic Network Lasso. CoRR (2019)
Julen Kahles, Juha Torronen, Timo Huuhtanen, Alexander Jung
Automating Root Cause Analysis via Machine Learning in Agile Software Testing Environments. ICST (2019)
Alexander Jung, Nguyen Q. Tran
Localized Linear Regression in Networked Data. CoRR (2019)
Alexander Jung, Natalia Vesselinova
Analysis of Network Lasso for Semi-Supervised Regression. AISTATS (2019)
Alexander Jung, Alfred O. Hero III, Alexandru Mara, Saeed Jahromi, Ayelet Heimowitz, Yonina C. Eldar
Semi-supervised Learning in Network-Structured Data via Total Variation Minimization. CoRR (2019)
Alexander Jung, Alfred O. Hero III, Alexandru Mara, Saeed Jahromi, Ayelet Heimowitz, Yonina C. Eldar
Semi-Supervised Learning in Network-Structured Data via Total Variation Minimization. IEEE Trans. Signal Process. 67 (24) (2019)
Alexander Jung
On the Duality between Network Flows and Network Lasso. CoRR (2019)
Roope Tervo, Joonas Karjalainen, Alexander Jung
Short-Term Prediction of Electricity Outages Caused by Convective Storms. IEEE Trans. Geosci. Remote. Sens. 57 (11) (2019)
Roope Tervo, Joonas Karjalainen, Alexander Jung
Short-term prediction of Electricity Outages Caused by Convective Storms. CoRR (2019)
Timo Huuhtanen, Henrik Ambos, Alexander Jung
Outlier Detection from Non-Smooth Sensor Data. EUSIPCO (2019)
Alexander Jung, Nguyen Q. Tran
Localized Linear Regression in Networked Data. IEEE Signal Process. Lett. 26 (7) (2019)
Jinping Sui, Zhen Liu, Li Liu, Alexander Jung, Tianpeng Liu, Bo Peng, Xiang Li
Sparse Subspace Clustering for Evolving Data Streams. ICASSP (2019)
Vladimir Herdt, Daniel Große, Rolf Drechsler, Christoph Gerum, Alexander Jung, Joscha Benz, Oliver Bringmann, Michael Schwarz, Dominik Stoffel, Wolfgang Kunz
. FDL (2019)
Alexander Jung
Clustering in Partially Labeled Stochastic Block Models via Total Variation Minimization. CoRR (2019)
Alexander Jung
Components of Machine Learning: Binding Bits and FLOPS. CoRR (2019)
Alexander Jung, Ivan Baranov
Basic Principles of Clustering Methods. CoRR (2019)
Oleksii Abramenko, Alexander Jung
Graph Signal Sampling via Reinforcement Learning. ICASSP (2019)
Menghao Wu, Yanbin Gao, Alexander Jung, Qiang Zhang, Shitong Du
The Actor-Dueling-Critic Method for Reinforcement Learning. Sensors 19 (7) (2019)
Alexander Jung
Analysis of Network Lasso For Semi-Supervised Regression. CoRR (2018)
Alexander Jung
On the Complexity of Sparse Label Propagation. Frontiers Appl. Math. Stat. 4 (2018)
Alexander Jung
A Gentle Introduction to Supervised Machine Learning. CoRR (2018)
Nguyen Q. Tran, Alexander Jung
On the Sample Complexity of Graphical Model Selection from Non-Stationary Samples. ICASSP (2018)
Markku Hinkka, Teemu Lehto, Keijo Heljanko, Alexander Jung
Classifying Process Instances Using Recurrent Neural Networks. CoRR (2018)
Henrik Ambos, Nguyen Q. Tran, Alexander Jung
The Logistic Network Lasso. CoRR (2018)
Buse Gul Atli, Alexander Jung
Online Feature Ranking for Intrusion Detection Systems. CoRR (2018)
Timo Huuhtanen, Alexander Jung
Predictive Maintenance of Photovoltaic Panels via Deep Learning. DSW (2018)
Markku Hinkka, Teemu Lehto, Keijo Heljanko, Alexander Jung
Classifying Process Instances Using Recurrent Neural Networks. Business Process Management Workshops (2018)
Madelon Hulsebos, Alexander Jung
The Network Nullspace Property for Compressed Sensing of Big Data Over Networks. ICASSP (2018)
Oleksii Abramenko, Alexander Jung
Graph Signal Sampling via Reinforcement Learning. CoRR (2018)
Alexander Jung, Madelon Hulsebos
The Network Nullspace Property for Compressed Sensing of Big Data Over Networks. Frontiers Appl. Math. Stat. 4 (2018)
Jinping Sui, Zhen Liu, Alexander Jung, Li Liu, Xiang Li
Dynamic Clustering Scheme for Evolving Data Streams Based on Improved STRAP. IEEE Access 6 (2018)
Buse Gul Atli, Yoan Miche, Alexander Jung
Network Intrusion Detection Using Flow Statistics. SSP (2018)
Nguyen Q. Tran, Henrik Ambos, Alexander Jung
A Network Compatibility Condition For Compressed Sensing Over Complex Networks. SSP (2018)
Roope Tervo, Joonas Karjalainen, Alexander Jung
Predicting Electricity Outages Caused by Convective Storms. CoRR (2018)
Alexander Jung
On The Complexity of Sparse Label Propagation. CoRR (2018)
Roope Tervo, Joonas Karjalainen, Alexander Jung
Predicting Electricity Outages Caused By Convective Storms. DSW (2018)
Henrik Ambos, Nguyen Q. Tran, Alexander Jung
Classifying Big Data Over Networks Via The Logistic Network Lasso. ACSSC (2018)
Nguyen Tran Quang, Alexander Jung
On the Sample Complexity of Graphical Model Selection for Non-Stationary Processes. CoRR (2017)
Nguyen Tran Quang, Alexander Jung
Learning conditional independence structure for high-dimensional uncorrelated vector processes. ICASSP (2017)
Alexandru Mara, Alexander Jung
Recovery conditions and sampling strategies for network Lasso. ACSSC (2017)
Alexandru Mara, Alexander Jung
Recovery Conditions and Sampling Strategies for Network Lasso. CoRR (2017)
Nguyen Q. Tran, Saeed Basirian, Alexander Jung
When is Network Lasso Accurate: The Vector Case. CoRR (2017)
Alexander Jung, Nguyen Tran Quang, Alexandru Mara
When Is Network Lasso Accurate? Frontiers Appl. Math. Stat. 3 (2017)
Alexander Jung
The Network Nullspace Property for Compressed Sensing of Big Data over Networks. CoRR (2017)
Markku Hinkka, Teemu Lehto, Keijo Heljanko, Alexander Jung
Structural Feature Selection for Event Logs. CoRR (2017)
Gita Babazadeh Eslamlou, Alexander Jung, Norbert Goertz
Smooth graph signal recovery via efficient Laplacian solvers. ICASSP (2017)
Florian Roemer, Marcus Grossmann, Tobias Schoen, Roland Gruber, Alexander Jung, Steven Oeckl, Giovanni Del Galdo
Differential SART for sub-Nyquist tomographic reconstruction in presence of misalignments. EUSIPCO (2017)
Saeed Basirian, Alexander Jung
Random Walk Sampling for Big Data over Networks. CoRR (2017)
Luiza Sayfullina, Eric Malmi, Yiping Liao, Alexander Jung
Domain Adaptation for Resume Classification Using Convolutional Neural Networks. AIST (2017)
Markku Hinkka, Teemu Lehto, Keijo Heljanko, Alexander Jung
Structural Feature Selection for Event Logs. Business Process Management Workshops (2017)
Alexander Jung
A Fixed-Point of View on Gradient Methods for Big Data. Frontiers Appl. Math. Stat. 3 (2017)
Alexander Jung, Yonina C. Eldar, Norbert Goertz
On the Minimax Risk of Dictionary Learning. IEEE Trans. Inf. Theory 62 (3) (2016)
Alexander Jung, Alfred O. Hero III, Alexandru Mara, Sabeur Aridhi
Scalable Semi-Supervised Learning over Networks using Nonsmooth Convex Optimization. CoRR (2016)
Gita Babazadeh Eslamlou, Alexander Jung, Norbert Goertz, Mehdi Fereydooni
Graph signal recovery from incomplete and noisy information using approximate message passing. ICASSP (2016)
Alexander Jung
Sparse Label Propagation. CoRR (2016)
Gabor Hannak, Peter Berger, Gerald Matz, Alexander Jung
Efficient graph signal recovery over big networks. ACSSC (2016)
Alexander Jung, Peter Berger, Gabor Hannak, Gerald Matz
Scalable graph signal recovery for big data over networks. SPAWC (2016)
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Alexander Jung
Big Data Frameworks: A Comparative Study. CoRR (2016)
Nguyen Tran Quang, Alexander Jung
Learning conditional independence structure for high-dimensional uncorrelated vector processes. CoRR (2016)
Gabor Hannak, Martin Mayer, Alexander Jung, Gerald Matz, Norbert Goertz
Joint channel estimation and activity detection for multiuser communication systems. ICC Workshops (2015)
Alexander Jung, Gabor Hannak, Norbert Goertz
Graphical LASSO based Model Selection for Time Series. IEEE Signal Process. Lett. 22 (10) (2015)
Alexander Jung
Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach. IEEE Trans. Signal Process. 63 (21) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexander Jung