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Manos Papagelis
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2020 – today
- 2024
- [j10]Nastaran Babanejad
, Heidar Davoudi
The Role of Preprocessing for Word Representation Learning in Affective Tasks. IEEE Trans. Affect. Comput. 15(1): 254-272 (2024) - [c35]Deeksha Chandola, Enas Altarawneh, Michael Jenkin, Manos Papagelis:
SERC-GCN: Speech Emotion Recognition In Conversation Using Graph Convolutional Networks. ICASSP 2024: 76-80 - [i7]Enas Altarawneh, Ameeta Agrawal, Michael Jenkin, Manos Papagelis
Predicting Evoked Emotions in Conversations. CoRR abs/2401.00383 (2024) - [i6]Shaikh Quader, Andres Jaramillo, Sumona Mukhopadhyay, Ghadeer Abuoda, Calisto Zuzarte, David Kalmuk, Marin Litoiu, Manos Papagelis:
LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates. CoRR abs/2401.12103 (2024) - [i5]Enas Altarawneh, Ameeta Agrawal, Michael Jenkin, Manos Papagelis:
Knowledge-Aware Conversation Derailment Forecasting Using Graph Convolutional Networks. CoRR abs/2408.13440 (2024) - 2023
- [c34]Ali Faraji
Point2Hex: Higher-order Mobility Flow Data and Resources. SIGSPATIAL/GIS 2023: 69:1-69:4 - [c33]Gian Alix
PathletRL: Trajectory Pathlet Dictionary Construction using Reinforcement Learning. SIGSPATIAL/GIS 2023: 72:1-72:12 - [c32]Mahmoud Alsaeed, Ameeta Agrawal, Manos Papagelis
Trajectory-User Linking using Higher-order Mobility Flow Representations. MDM 2023: 158-167 - [c31]Nina Yanin
Optimal Risk-aware POI Recommendations during Epidemics. SpatialEpi 2023: 1-12 - [i4]Enas Altarawneh, Ameeta Agrawal, Michael Jenkin, Manos Papagelis:
Conversation Derailment Forecasting with Graph Convolutional Networks. CoRR abs/2306.12982 (2023) - 2022
- [j9]Tilemachos Pechlivanoglou
Epidemic Spreading in Trajectory Networks. Big Data Res. 27: 100275 (2022) - [c30]Ali Nematichari, Tilemachos Pechlivanoglou, Manos Papagelis
Evaluating and forecasting the operational performance of road intersections. SIGSPATIAL/GIS 2022: 31:1-31:12 - [c29]Fazel Arasteh, Soroush SheikhGarGar, Manos Papagelis:
Network-aware multi-agent reinforcement learning for the vehicle navigation problem. SIGSPATIAL/GIS 2022: 69:1-69:4 - [c28]Gian Alix
A Mobility-based Recommendation System for Mitigating the Risk of Infection during Epidemics. MDM 2022: 292-295 - [c27]Tilemachos Pechlivanoglou, Gian Alix
Microscopic modeling of spatiotemporal epidemic dynamics. SpatialEpi 2022: 11-21 - 2021
- [j8]Niloy Eric Costa
OL-HeatMap: Effective Density Visualization of Multiple Overlapping Rectangles. Big Data Res. 25: 100235 (2021) - [j7]Xing Zhao, Manos Papagelis
ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model. Mach. Learn. 110(10): 2867-2903 (2021) - [c26]Xing Zhao, Manos Papagelis
ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model. DSAA 2021: 1-2 - [i3]Iuliia Kotseruba, Manos Papagelis, John K. Tsotsos:
Industry and Academic Research in Computer Vision. CoRR abs/2107.04902 (2021) - 2020
- [j6]Farzaneh Heidari, Manos Papagelis
Evolving network representation learning based on random walks. Appl. Netw. Sci. 5(1): 18 (2020) - [c25]Nastaran Babanejad, Ameeta Agrawal, Aijun An, Manos Papagelis:
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks. ACL 2020: 5799-5810 - [c24]Nastaran Babanejad, Heidar Davoudi, Aijun An, Manos Papagelis:
Affective and Contextual Embedding for Sarcasm Detection. COLING 2020: 225-243 - [c23]Tilemachos Pechlivanoglou, Mahmoud Alsaeed, Manos Papagelis
MRSweep: Distributed In-Memory Sweep-line for Scalable Object Intersection Problems. DSAA 2020: 324-333 - [c22]Saim Mehmood, Manos Papagelis
Learning Semantic Relationships of Geographical Areas based on Trajectories. MDM 2020: 109-118 - [c21]Ameeta Agrawal, Aijun An, Manos Papagelis
Leveraging Transitions of Emotions for Sarcasm Detection. SIGIR 2020: 1505-1508 - [i2]Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. CoRR abs/2001.01347 (2020)
2010 – 2019
- 2019
- [j5]Abdullah M. Sawas
A versatile computational framework for group pattern mining of pedestrian trajectories. GeoInformatica 23(4): 501-531 (2019) - [c20]Tilemachos Pechlivanoglou, Vincent Chu, Manos Papagelis
Efficient Mining and Exploration of Multiple Axis-Aligned Intersecting Objects. ICDM 2019: 1276-1281 - [c19]Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu:
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. ICDM 2019: 1504-1509 - [c18]Nastaran Babanejad, Ameeta Agrawal, Heidar Davoudi, Aijun An, Manos Papagelis:
Leveraging Emotion Features in News Recommendations. INRA@RecSys 2019: 70-78 - [i1]Bao Xin Chen, Raghavender Sahdev, Dekun Wu, Xing Zhao, Manos Papagelis, John K. Tsotsos:
Scene Classification in Indoor Environments for Robots using Context Based Word Embeddings. CoRR abs/1908.06422 (2019) - 2018
- [c17]Tilemachos Pechlivanoglou, Manos Papagelis
Fast and Accurate Mining of Node Importance in Trajectory Networks. IEEE BigData 2018: 781-790 - [c16]Ameeta Agrawal, Aijun An, Manos Papagelis:
Learning Emotion-enriched Word Representations. COLING 2018: 950-961 - [c15]Farzaneh Heidari, Manos Papagelis
EvoNRL: Evolving Network Representation Learning Based on Random Walks. COMPLEX NETWORKS (1) 2018: 457-469 - [c14]Abdullah M. Sawas, Abdullah Abuolaim, Mahmoud Afifi, Manos Papagelis:
Tensor Methods for Group Pattern Discovery of Pedestrian Trajectories. MDM 2018: 76-85 - [c13]Abdullah M. Sawas, Abdullah Abuolaim, Mahmoud Afifi, Manos Papagelis
Trajectolizer: Interactive Analysis and Exploration of Trajectory Group Dynamics. MDM 2018: 286-287 - 2016
- [c12]Manos Papagelis
Green2.0: Enabling Complex Interactions Between Buildings and People. CSCW Companion 2016: 77-80 - 2015
- [j4]Manos Papagelis
Refining Social Graph Connectivity via Shortcut Edge Addition. ACM Trans. Knowl. Discov. Data 10(2): 12:1-12:35 (2015) - 2013
- [j3]Manos Papagelis
Sampling Online Social Networks. IEEE Trans. Knowl. Data Eng. 25(3): 662-676 (2013) - 2011
- [c11]Manos Papagelis
Suggesting ghost edges for a smaller world. CIKM 2011: 2305-2308 - [c10]Manos Papagelis
Individual behavior and social influence in online social systems. HT 2011: 241-250
2000 – 2009
- 2009
- [c9]Manos Papagelis, Nilesh Bansal, Nick Koudas:
Information Cascades in the Blogosphere: A Look Behind the Curtain. ICWSM 2009 - 2008
- [c8]Gautam Das
Efficient sampling of information in social networks. SSM 2008: 67-74 - [c7]Athanasios Papagelis, Manos Papagelis
Iclone: towards online social navigation. Hypertext 2008: 237-238 - [c6]Athanasios Papagelis, Manos Papagelis
Enabling Social Navigation on the Web. Web Intelligence 2008: 162-168 - 2007
- [j2]Martin Doerr, Manos Papagelis
A Method for Estimating the Precision of Placename Matching. IEEE Trans. Knowl. Data Eng. 19(8): 1089-1101 (2007) - 2005
- [j1]Manos Papagelis
Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents. Eng. Appl. Artif. Intell. 18(7): 781-789 (2005) - [c5]Manos Papagelis
Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms. ISMIS 2005: 553-561 - [c4]Manos Papagelis
Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences. iTrust 2005: 224-239 - [c3]Manos Papagelis
CONFIOUS: Managing the Electronic Submission and Reviewing Process of Scientific Conferences. WISE 2005: 711-720 - 2004
- [c2]Manos Papagelis
Qualitative Analysis of User-Based and Item-Based Prediction Algorithms for Recommendation Agents. CIA 2004: 152-166 - 2003
- [c1]Manos Papagelis, Dimitris Plexousakis:
Recommendation Based Discovery of Dynamic Virtual Communities. CAiSE Short Paper Proceedings 2003
Coauthor Index
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