Publications by Karl Aberer | EPFL Graph Search

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While electricity demand forecasting literature has focused on large, industrial, and national demand, this paper focuses on short-term (1 and 24 hour ahead) electricity demand forecasting for residential customers at the individual and aggregate level. Si ...

The rise of the Web 2.0 has made content publishing easier than ever. Yesterday’s passive consumers are now active users who generate and contribute new data to the web at an immense rate. We consider evaluating data driven aggregation queries which arise ...

We tackle the problem of improving the relevance of automatically selected tags in large-scale ontology-based information systems. Contrary to traditional settings where tags can be chosen arbitrarily, we focus on the problem of recommending tags (e.g., co ...

This paper considers metadata generation and tracking in a collaborative environment where users publish raw sensor data in the form of virtual sensors and post-process data by means of filtering, modeling, or query processing techniques. In the metadata s ...

Simulators are an excellent tool for quick systems prototyping and large-scale parameter sweeps, but they cannot match the accuracy of live network evaluations. Switching from the simulation to the actual implementation often requires a considerable development effort. Network I/O implementation, measurement instrumentation, deployment automation and distributed debugging are among the most time consuming tasks that the developers face. Moreover, large parts of the application code existing in the simulator

Privacy policies are the primary channel through which companies inform users about their data collection and sharing practices. These policies are often long and difficult to comprehend. Short notices based on information extracted from privacy policies h ...

Social media has become an important instrument for running various types of public campaigns and mobilizing people. Yet, the dynamics of public campaigns on social networking platforms still remain largely unexplored. In this paper, we present an in-depth ...

We propose a novel fully-automated approach towards inducing multilingual taxonomies from Wikipedia. Given an English taxonomy, our approach first leverages the interlanguage links of Wikipedia to automatically construct training datasets for the is-a relation in the target language. Character-level classifiers are trained on the constructed datasets, and used in an optimal path discovery framework to induce high-precision, high-coverage taxonomies in other languages. Through experiments, we demonstrate tha

Time series forecasting for streaming data plays an important role in many real applications, ranging from IoT systems, cyber-networks, to industrial systems and healthcare. However the real data is often complicated with anomalies and change points, which ...

We analyze mobile phone-generated sensor feeds to de- termine the high-level (i.e., at the semantic level), indoor, lifestyle activities of individuals, such as cooking/dining at home and working/having-lunch at the workplace. We pro- pose and evaluate a 2-Tier activity extraction framework (called SAMMPLE) where features of the accelerometer data are first used to identify individual locomotive micro- activities (e.g., sitting or standing), and the micro-activity sequence is subsequently used to identify t

In the EU project Hydrosys (http://www.hydrosysonline.eu), we have defined and implemented a data processing pipeline that makes simulation process completely automated, fast and transparent to the scientist. Furthermore, our automated simulation tool is f ...

Schema matching is the process of establishing correspondences between the attributes of database schemas for data integration purposes. Although several automatic schema matching tools have been developed, their results are often incomplete or erroneous. ...

We present Mobile Observatory, a mobile air quality monitoring application that provides evaluation of air quality of the city of Zurich, Switzerland. As Mobile Observatory utilizes air quality data gathered by sensors mounted on around 10 trams in Zurich, ...

We uncover a previously unknown, ongoing astroturfing attack on the popularity mechanisms of social media platforms: ephemeral astroturfing attacks. In this attack, a chosen keyword or topic is artificially promoted by coordinated and inauthentic activity ...

In this paper we address the problem of processing continuous multi-join queries, over distributed data streams. Our approach makes use of existing work in the field of publish/subscribe systems. We show how these principles can be ported to our envisioned ...

Web 2.0 portals have made content generation easier than ever with millions of users contributing news stories in form of posts in weblogs or short textual snippets as in Twitter. Efficient and effective filtering solutions are key to allow users stay tune ...

Effectively managing the data generated by Large-area Community driven Sensor Networks (LCSNs) is a new and challenging prob- lem. One important step for managing and querying such sensor network data is to create abstractions of the data in the form of mo ...

As the volumes of AI problems involving human knowledge are likely to soar, crowdsourcing has become essential in a wide range of world-wide-web applications. One of the biggest challenges of crowdsourcing is aggregating the answers collected from the crowd since the workers might have wide-ranging levels of expertise. In order to tackle this challenge, many aggregation techniques have been proposed. These techniques, however, have never been compared and analyzed under the same setting, rendering a `right'

Identification is an essential building block for many services in distributed information systems. The quality and purpose of identification may differ, but the basic underlying problem is always to bind a set of attributes to an identifier in a unique an ...

In this work, we study whether multilingual language models (MultiLMs) can transfer logical reasoning abilities to other languages when they are fine-tuned for reasoning in a different language. We evaluate the cross-lingual reasoning abilities of MultiLMs ...

Karl Aberer

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Cluster-based Aggregate Forecasting for Residential Electricity Demand using Smart Meter Data

Tracking Hot-k Items over Web 2.0 Streams

Tag Recommendation for Large-Scale Ontology-Based Information Systems

Sensor Metadata Management and its Application in Collaborative Environmental Research

ProtoPeer: Distributed Systems Prototyping Toolkit

Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning

Analyzing Large-Scale Public Campaigns on Twitter

280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia using Character-level Classification

Robust Online Time Series Prediction with Recurrent Neural Networks

SAMMPLE: Detecting Semantic Indoor Activities in Practical Settings using Locomotive Signatures

Automated Model-driven Simulation and Visualization of Field Sensor Data

Pay-as-you-go Reconciliation in Schema Matching Networks

Mobile observatory: an exploratory study of mobile air quality monitoring application

Ephemeral Astroturfing Attacks: The Case of Fake Twitter Trends

Continuous Query Evaluation over Distributed Sensor Networks

The gist of everything new: personalized top-k processing over web 2.0 streams

Effectively Modeling Data from Large-area Community Sensor Networks

An Evaluation of Aggregation Techniques in Crowdsourcing

Efficient, self-contained handling of identity in Peer-to-Peer systems

Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention