Co-author Network
Co-researcher Network
sample of publications
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articles
- Validation of scientific topic models using graph analysis and corpus metadata. SCIENTOMETRICS. 127:5441-5458. 2022
- Recycling weak labels for multiclass classification. NEUROCOMPUTING. 400:206-215. 2020
- Directional Transforms for Video Coding Based on Lifting on Graphs. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. 28:933-946. 2018
- Optimized Update/Prediction Assignment for Lifting Transforms on Graphs. IEEE TRANSACTIONS ON SIGNAL PROCESSING. 66:2098-2111. 2018
- The BGP Visibility Toolkit: detecting anomalous internet routing behavior. IEEE-ACM TRANSACTIONS ON NETWORKING. 24:1237-1250. 2016
- An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS. 33:1717-1729. 2015
- Asymptotic analysis of cooperative censoring policies in sensor networks. Ad Hoc Networks. 29:63-77. 2015
- Selective forwarding for energy-efficient target tracking in sensor networks. SIGNAL PROCESSING. 94:557-569. 2014
- Cost-Sensitive Sequences of Bregman Divergences. IEEE Transactions on Neural Networks and Learning Systems. 23:1896-1904. 2012
- Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift. NEUROCOMPUTING. 74:2614-2623. 2011
- Optimal Double Route Search in a Telecommunication Network: A Telecontrol Network Application. IEEE TRANSACTIONS ON RELIABILITY. 60:341-350. 2011
- Optimal Selective Forwarding for Energy Saving in Wireless Sensor Networks. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. 10:164-175. 2011
- Automatic Placement of Outer Volume Suppression Slices in MR Spectroscopic Imaging of the Human Brain. MAGNETIC RESONANCE IN MEDICINE. 63:592-600. 2010
- Modeling Link Events in High Reliability Networks With Support Vector Machines. IEEE TRANSACTIONS ON RELIABILITY. 59:191-202. 2010
- Cost-Sensitive and Modular Land-Cover Classification based on Posterior Probability Estimates. INTERNATIONAL JOURNAL OF REMOTE SENSING. 30:5877-5899. 2009
- Optimal Selective Transmission under Energy Constraints in Sensor Networks. IEEE TRANSACTIONS ON MOBILE COMPUTING. 8:1524-1538. 2009
- Cost-Sensitive Learning based on Bregman Divergences. MACHINE LEARNING. 2-3:271-285. 2009
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book chapters
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conference contributions
- The Weak Supervision Landscape. 218-223. 2022
- On the Selection of Loss Functions under Weak Label Models. 332-343. 2021
- Double Confidential Federated Machine Learning Logistic Regression for Industrial Data Platforms. 1-8. 2020
- Proper Losses for Learning with Example-Dependent Costs. 52-66. 2018
- Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios. 247-259. 2017
- Censoring diffusion for harvesting WSNs. 237-240. 2015
- Separating wheat from chaff: Winnowing unintended prefixes using machine learning 2014
- Battery-Aware Selective Transmitters in Energy-Harvesting Sensor Networks: Optimal Solution and Stochastic Dual Approximation 2013
- Filter optimization and complexity reduction for video coding using graph-based transforms. 1948-1952. 2013
- Decentralized Detection with Energy-Aware Greedy Selective Sensors 2012
- Proper Losses for Learning from Partial Labels 2012
- Cooperative Data Censoring for Energy-Efficient Communications in Sensor Networks. 1-6. 2011
- Distributed Target Tracking with Selective Transmitters in Energy-Constrained Sensor Networks. 67-72. 2008
- Energy-efficient Selective Forwarding for Sensor Networks 2008