Peter Widhalm - RankMe

18 papers A* 1B 5Journal 4Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Federated Learning for Anomaly Detection in Maritime Movement Data. CoRR Anita Graser, Axel Weißenfeld, Clemens Heistracher, Melitta Dragaschnig, Peter Widhalm
2024	B	`conf`	Federated Learning for Anomaly Detection in Maritime Movement Data. MDM Anita Graser, Axel Weissenfeld, Clemens Heistracher, Melitta Dragaschnig, Peter Widhalm
2020	B	`conf`	Exploratory Trajectory Analysis for Massive Historical AIS Datasets. MDM Anita Graser, Melitta Dragaschnig, Peter Widhalm, Hannes Koller, Norbert Brändle
2020	—	`conf`	Tackling the SHL recognition challenge with phone position detection and nearest neighbour smoothing. UbiComp/ISWC Adjunct Peter Widhalm, Philipp Merz, Liviu Coconu, Norbert Brändle
2020	J	`jnl`	The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration. Int. J. Geogr. Inf. Sci. Anita Graser, Peter Widhalm, Melitta Dragaschnig
2019	—	`conf`	Ensemble-based domain adaptation for transport mode recognition with mobile sensors. UbiComp/ISWC Adjunct Peter Widhalm, Maximilian Leodolter, Norbert Brändle
2019	—	`ch.`	Into the Wild - Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers. Human Activity Sensing Peter Widhalm, Maximilian Leodolter, Norbert Brändle
2018	—	`conf`	Top in the Lab, Flop in the Field?: Evaluation of a Sensor-based Travel Activity Classifier with the SHL Dataset. UbiComp/ISWC Adjunct Peter Widhalm, Maximilian Leodolter, Norbert Brändle
2017	J	`jnl`	Beyond the "single-operator, CDR-only" paradigm: An interoperable framework for mobile phone network data analyses and population density estimation. Pervasive Mob. Comput. Fabio Ricciato, Peter Widhalm, Francesco Pantisano, Massimo Craglia
2017	—	`conf`	Semi-supervised segmentation of accelerometer time series for transport mode classification. MT-ITS Maximilian Leodolter, Peter Widhalm, Claudia Plant, Norbert Brändle
2016	A*	`conf`	Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data. AAAI Yingxiang Yang, Peter Widhalm, Shounak Athavale, Marta C. González
2015	—	`conf`	Fast Hidden Markov Model Map-Matching for Sparse and Noisy Trajectories. ITSC Hannes Koller, Peter Widhalm, Melitta Dragaschnig, Anita Graser
2014	J	`jnl`	Development of a Real-Time Model of the Occupancy of Short-Term Parking Zones. Int. J. Intell. Transp. Syst. Res. Reinhard Hössinger, Peter Widhalm, Michael Ulm, Klaus Heimbuchner, Eike Wolf, Roland Apel, Tina Uhlmann
2012	—	`conf`	Assessing traffic performance using position density of sparse FCD. ITSC Anita Graser, Wolfgang Ponweiser, Melitta Dragaschnig, Norbert Brändle, Peter Widhalm
2012	—	`conf`	Robust road link speed estimates for sparse or missing probe vehicle data. ITSC Peter Widhalm, Markus Piff, Norbert Brändle, Hannes Koller, Martin Reinthaler
2012	B	`conf`	Transport mode detection with realistic Smartphone sensor data. ICPR Peter Widhalm, Philippe Nitsche, Norbert Brändle
2011	B	`conf`	Next-generation 3D visualization for visual surveillance. AVSS Peter M. Roth, Volker Settgast, Peter Widhalm, Marcel Lancelle, Josef A. Birchbauer, Norbert Brändle, Sven Havemann, Horst Bischof
2010	B	`conf`	Learning Major Pedestrian Flows in Crowded Scenes. ICPR Peter Widhalm, Norbert Brändle