245 citations · 536 across the 13 of their papers we have counts for
14 papers
CINDI: Conditional Imputation and Noisy Data Integrity with Flows in Power Grid Data
David Baumgartner, Helge Langseth, Heri Ramampiaro
Real-world multivariate time series, particularly in critical infrastructure such as electrical power grids, are often corrupted by noise and anomalies that degrade the performance…
Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection
David Baumgartner, Helge Langseth, Kenth Engø-Monsen +1
This paper introduces temporal-conditioned normalizing flows (tcNF), a novel framework that addresses anomaly detection in time series data with accurate modeling of temporal depen…
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe +3
With the rapid advancement of Natural Language Processing in recent years, numerous studies have shown that generic summaries generated by Large Language Models (LLMs) can sometime…
Towards human-level performance on automatic pose estimation of infant spontaneous movements
Daniel Groos, Lars Adde, Ragnhild Støen +2
Assessment of spontaneous movements can predict the long-term developmental disorders in high-risk infants. In order to develop algorithms for automated prediction of later disorde…
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Tárik S. Salem, Helge Langseth, Heri Ramampiaro
Prediction intervals are a machine- and human-interpretable way to represent predictive uncertainty in a regression analysis. In this paper, we present a method for generating pred…
EfficientPose: Scalable single-person pose estimation
Daniel Groos, Heri Ramampiaro, Espen A. F. Ihlen
Single-person human pose estimation facilitates markerless movement analysis in sports, as well as in clinical applications. Still, state-of-the-art models for human pose estimatio…
Forecasting Intra-Hour Imbalances in Electric Power Systems
Tárik S. Salem, Karan Kathuria, Heri Ramampiaro +1
Keeping the electricity production in balance with the actual demand is becoming a difficult and expensive task in spite of an involvement of experienced human operators. This is d…
Securing Tag-based recommender systems against profile injection attacks: A comparative study. (Extended Report)
Georgios K. Pitsilis, Heri Ramampiaro, Helge Langseth
This work addresses the challenges related to attacks on collaborative tagging systems, which often comes in a form of malicious annotations or profile injection attacks. In partic…
Securing Tag-based recommender systems against profile injection attacks: A comparative study
Georgios Pitsilis, Heri Ramampiaro, Helge Langseth
This work addresses challenges related to attacks on social tagging systems, which often comes in a form of malicious annotations or profile injection attacks. In particular, we st…
Extracting News Events from Microblogs
Øystein Repp, Heri Ramampiaro
Twitter stream has become a large source of information for many people, but the magnitude of tweets and the noisy nature of its content have made harvesting the knowledge from Twi…
Context-Aware Sequence-to-Sequence Models for Conversational Systems
Silje Christensen, Simen Johnsrud, Massimiliano Ruocco +1
This work proposes a novel approach based on sequence-to-sequence (seq2seq) models for context-aware conversational systems. Exist- ing seq2seq models have been shown to be good fo…
Detecting Offensive Language in Tweets Using Deep Learning
Georgios K. Pitsilis, Heri Ramampiaro, Helge Langseth
This paper addresses the important problem of discerning hateful content in social media. We propose a detection scheme that is an ensemble of Recurrent Neural Network (RNN) classi…
A Deep Network Model for Paraphrase Detection in Short Text Messages
Basant Agarwal, Heri Ramampiaro, Helge Langseth +1
This paper is concerned with paraphrase detection. The ability to detect similar sentences written in natural language is crucial for several applications, such as text mining, tex…
Geo-Temporal Distribution of Tag Terms for Event-Related Image Retrieval
Massimiliano Ruocco, Heri Ramampiaro
Media sharing applications, such as Flickr and Panoramio, contain a large amount of pictures related to real life events. For this reason, the development of effective methods to r…