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2020 – today
- 2024
[j13]Mitra Baratchi, Can Wang, Steffen Limmer, Jan N. van Rijn, Holger H. Hoos, Thomas Bäck, Markus Olhofer:
Automated machine learning: past, present and future. Artif. Intell. Rev. 57(5): 122 (2024)- [j12]Julia Wasala
, Suzanne M. Marselis, Laurens Arp, Holger H. Hoos, Nicolas Longépé, Mitra Baratchi:
AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images. Remote. Sens. 16(3): 443 (2024) - [c25]Maedeh Nasri, Thomas Maliappis, Carolien Rieffe, Mitra Baratchi:
T-DANTE: Detecting Group Behaviour in Spatio-Temporal Trajectories Using Context Information. IDA (2) 2024: 28-39 - 2023
- [j11]Maedeh Nasri, Mitra Baratchi, Yung-Ting Tsou, Sarah Giest, Alexander Koutamanis, Carolien Rieffe:
A novel metric to measure spatio-temporal proximity: a case study analyzing children's social network in schoolyards. Appl. Netw. Sci. 8(1): 50 (2023) - [j10]Zhou Zhou, Mitra Baratchi, Gangquan Si, Holger H. Hoos, Gang Huang:
Adaptive error bounded piecewise linear approximation for time-series representation. Eng. Appl. Artif. Intell. 126: 106892 (2023) - [j9]Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen:
Unsupervised discretization by two-dimensional MDL-based histogram. Mach. Learn. 112(7): 2397-2431 (2023) - [c24]Maedeh Nasri, Zhizhou Fang, Mitra Baratchi, Gwenn Englebienne, Shenghui Wang, Alexander Koutamanis, Carolien Rieffe:
A GNN-Based Architecture for Group Detection from Spatio-Temporal Trajectory Data. IDA 2023: 327-339 - [i9]Rodi Laanen, Maedeh Nasri, Richard van Dijk, Mitra Baratchi, Alexander Koutamanis, Carolien Rieffe:
Automated classification of pre-defined movement patterns: A comparison between GNSS and UWB technology. CoRR abs/2303.07107 (2023) - 2022
- [j8]Jaco Tetteroo, Mitra Baratchi, Holger H. Hoos:
Automated Machine Learning for COVID-19 Forecasting. IEEE Access 10: 94718-94737 (2022) - [j7]Laurens Arp, Mitra Baratchi, Holger H. Hoos:
VPint: value propagation-based spatial interpolation. Data Min. Knowl. Discov. 36(5): 1647-1678 (2022) - [j6]Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani:
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. ACM Trans. Inf. Syst. 40(4): 88:1-88:35 (2022) - [i8]Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani:
A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. CoRR abs/2201.08150 (2022) - 2021
- [j5]Gilles Ottervanger, Mitra Baratchi, Holger H. Hoos:
MultiETSC: automated machine learning for early time series classification. Data Min. Knowl. Discov. 35(6): 2602-2654 (2021) - [j4]Nuno Cesar de Sa, Mitra Baratchi, Leon T. Hauser, Peter M. van Bodegom:
Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 Data. Remote. Sens. 13(4): 648 (2021) - [c23]Marios Kefalas, Mitra Baratchi, Asteris Apostolidis, Dirk van den Herik, Thomas Bäck:
Automated Machine Learning for Remaining Useful Life Estimation of Aircraft Engines. ICPHM 2021: 1-9 - [c22]Nelly Rosaura Palacios Salinas, Mitra Baratchi, Jan N. van Rijn, Andreas Vollrath:
Automated Machine Learning for Satellite Data: Integrating Remote Sensing Pre-trained Models into AutoML Systems. ECML/PKDD (5) 2021: 447-462 - [e1]Mitra Baratchi, Lu Cao, Walter A. Kosters, Jefrey Lijffijt, Jan N. van Rijn, Frank W. Takes:
Artificial Intelligence and Machine Learning - 32nd Benelux Conference, BNAIC/Benelearn 2020, Leiden, The Netherlands, November 19-20, 2020, Revised Selected Papers. Communications in Computer and Information Science 1398, Springer 2021, ISBN 978-3-030-76639-9 [contents] - 2020
- [c21]Jan H. van Staalduinen, Jaco Tetteroo, Daniela Gawehns, Mitra Baratchi:
An Intelligent Tree Planning Approach Using Location-Based Social Networks Data. BNAIC/BENELEARN (Selected Papers) 2020: 157-171 - [c20]Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani:
Joint Geographical and Temporal Modeling Based on Matrix Factorization for Point-of-Interest Recommendation. ECIR (1) 2020: 205-219 - [c19]João Mendes-Moreira, Mitra Baratchi:
Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction. IDA 2020: 313-325 - [c18]Laurens Arp, Dyon van Vreumingen, Daniela Gawehns, Mitra Baratchi:
Dynamic macro scale traffic flow optimisation using crowd-sourced urban movement data. MDM 2020: 168-177 - [i7]Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani:
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation. CoRR abs/2001.08961 (2020) - [i6]Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen:
Unsupervised Discretization by Two-dimensional MDL-based Histogram. CoRR abs/2006.01893 (2020) - [i5]Laurens Arp, Dyon van Vreumingen, Daniela Gawehns, Mitra Baratchi:
Metaheuristic macro scale traffic flow optimisation from urban movement data. CoRR abs/2006.02214 (2020)
2010 – 2019
- 2019
- [j3]Bernd Meijerink, Mitra Baratchi, Geert Heijenk:
Design & analysis of a distributed routing algorithm towards Internet-wide geocast. Comput. Commun. 146: 201-218 (2019) - [c17]Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani:
LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation. AIRS 2019: 66-78 - [c16]Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani:
Category-Aware Location Embedding for Point-of-Interest Recommendation. ICTIR 2019: 173-176 - [c15]Can Wang, Thomas Bäck, Holger H. Hoos, Mitra Baratchi, Steffen Limmer, Markus Olhofer:
Automated Machine Learning for Short-term Electric Load Forecasting. SSCI 2019: 314-321 - [i4]Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani:
Category-Aware Location Embedding for Point-of-Interest Recommendation. CoRR abs/1907.13376 (2019) - [i3]Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, Fabio Crestani:
LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation. CoRR abs/1909.06667 (2019) - 2018
- [j2]Cristian Chilipirea, Mitra Baratchi, Ciprian Dobre, Maarten van Steen:
Identifying Stops and Moves in WiFi Tracking Data. Sensors 18(11): 4039 (2018) - [c14]Cristian Chilipirea, Ciprian Dobre, Mitra Baratchi, Maarten van Steen:
Identifying Movements in Noisy Crowd Analytics Data. MDM 2018: 161-166 - [i2]Bernd Meijerink, Mitra Baratchi, Geert Heijenk:
A Distributed Routing Algorithm for Internet-wide Geocast. CoRR abs/1805.01690 (2018) - 2017
- [c13]Mozhdeh Gholibeigi, Nora Sarrionandia, Morteza Karimzadeh, Mitra Baratchi, Hans van den Berg, Geert Heijenk:
Reliable vehicular broadcast using 5G device-to-device communication. WMNC 2017: 1-8 - [c12]Tristan Brugman, Mitra Baratchi, Geert Heijenk, Maarten van Steen:
Inferring the Social-Connectedness of Locations from Mobility Data. SocInfo (2) 2017: 443-457 - [c11]Bernd Meijerink, Mitra Baratchi, Geert Heijenk:
Evaluation of Geocast Routing Trees on Random and Actual Networks. WWIC 2017: 127-142 - [i1]Mitra Baratchi, Geert Heijenk, Maarten van Steen:
Spaceprint: a Mobility-based Fingerprinting Scheme for Public Spaces. CoRR abs/1703.09962 (2017) - 2016
- [c10]Mitra Baratchi, Lennart Teunissen, Peter Ebben, Wouter B. Teeuw, Jan Laarhuis, Maarten van Steen:
Towards decisive garments for heat stress risk detection. UbiComp Adjunct 2016: 1095-1100 - [c9]Mozhdeh Gholibeigi, Mitra Baratchi, Hans van den Berg, Geert Heijenk:
Towards reliable multi-hop broadcast in VANETs: An analytical approach. VNC 2016: 1-8 - [c8]Sarwar Morshed, Mitra Baratchi, Geert Heijenk:
Traffic-adaptive duty cycle adaptation in TR-MAC protocol for wireless sensor networks. Wireless Days 2016: 1-6 - [c7]Sarwar Morshed, Mitra Baratchi, Pranab K. Mandal, Geert Heijenk:
A multi-channel multiple access scheme using frequency offsets - Modelling and analysis. WiMob 2016: 1-7 - [c6]Bernd Meijerink, Mitra Baratchi, Geert Heijenk:
An Efficient Geographical Addressing Scheme for the Internet. WWIC 2016: 78-90 - 2015
- [b1]Mitra Baratchi:
Latitude, longitude, and beyond: mining mobile objects' behavior. University of Twente, Enschede, Netherlands, 2015 - 2014
- [c5]Mitra Baratchi, Nirvana Meratnia, Paul J. M. Havinga, Andrew K. Skidmore, Bert A. G. Toxopeus:
A hierarchical hidden semi-Markov model for modeling mobility data. UbiComp 2014: 401-412 - 2013
- [j1]Mitra Baratchi, Nirvana Meratnia, Paul J. M. Havinga, Andrew K. Skidmore, Bert A. G. Toxopeus:
Sensing Solutions for Collecting Spatio-Temporal Data for Wildlife Monitoring Applications: A Review. Sensors 13(5): 6054-6088 (2013) - [c4]Mitra Baratchi, Nirvana Meratnia, Paul J. M. Havinga:
On the use of mobility data for discovery and description of social ties. ASONAM 2013: 1229-1236 - [c3]Mitra Baratchi, Nirvana Meratnia, Paul J. M. Havinga:
Finding frequently visited paths: Dealing with the uncertainty of spatio-temporal mobility data. ISSNIP 2013: 479-484 - [c2]Siavash Aflaki, Nirvana Meratnia, Mitra Baratchi, Paul J. M. Havinga:
Evaluation of incentives for body area network-based healthcare systems. ISSNIP 2013: 515-520 - [c1]Mitra Baratchi, Nirvana Meratnia, Paul J. M. Havinga:
Recognition of Periodic Behavioral Patterns from Streaming Mobility Data. MobiQuitous 2013: 102-115
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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