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% ================================================
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  journal={arXiv preprint arXiv:1207.0580},
  year={2012}
}

@inproceedings{azizpour2015generic,
  title={From generic to specific deep representations for visual recognition},
  author={Azizpour, Hossein and Sharif Razavian, Ali and Sullivan, Josephine and Maki, Atsuto and Carlsson, Stefan},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition workshops},
  pages={36--45},
  year={2015}
}

@inproceedings{babenko2015aggregating,
  title={Aggregating local deep features for image retrieval},
  author={Babenko, Artem and Lempitsky, Victor},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={1269--1277},
  year={2015}
}

@article{razavian2016visual,
  title={Visual instance retrieval with deep convolutional networks},
  author={Razavian, Ali S and Sullivan, Josephine and Carlsson, Stefan and Maki, Atsuto},
  journal={ITE Transactions on Media Technology and Applications},
  volume={4},
  number={3},
  pages={251--258},
  year={2016},
  publisher={The Institute of Image Information and Television Engineers}
}

@inproceedings{liu2015treasure,
  title={The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification},
  author={Liu, Lingqiao and Shen, Chunhua and van den Hengel, Anton},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={4749--4757},
  year={2015}
}

@inproceedings{kalantidis2016cross,
  title={Cross-dimensional weighting for aggregated deep convolutional features},
  author={Kalantidis, Yannis and Mellina, Clayton and Osindero, Simon},
  booktitle={European Conference on Computer Vision},
  pages={685--701},
  year={2016},
  organization={Springer}
}

@inproceedings{radenovic2016cnn,
  title={CNN image retrieval learns from BoW: Unsupervised fine-tuning with hard examples},
  author={Radenovi{\'c}, Filip and Tolias, Giorgos and Chum, Ond{\v{r}}ej},
  booktitle={European conference on computer vision},
  pages={3--20},
  year={2016},
  organization={Springer}
}

@inproceedings{arandjelovic2016netvlad,
  title={NetVLAD: CNN architecture for weakly supervised place recognition},
  author={Arandjelovic, Relja and Gronat, Petr and Torii, Akihiko and Pajdla, Tomas and Sivic, Josef},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={5297--5307},
  year={2016}
}

@inproceedings{vinyals2015show,
  title={Show and tell: A neural image caption generator},
  author={Vinyals, Oriol and Toshev, Alexander and Bengio, Samy and Erhan, Dumitru},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={3156--3164},
  year={2015}
}

@inproceedings{graves2013speech,
  title={Speech recognition with deep recurrent neural networks},
  author={Graves, Alex and Mohamed, Abdel-rahman and Hinton, Geoffrey},
  booktitle={Acoustics, speech and signal processing (icassp), 2013 ieee international conference on},
  pages={6645--6649},
  year={2013},
  organization={IEEE}
}

@inproceedings{sutskever2014sequence,
  title={Sequence to sequence learning with neural networks},
  author={Sutskever, Ilya and Vinyals, Oriol and Le, Quoc V},
  booktitle={Advances in neural information processing systems},
  pages={3104--3112},
  year={2014}
}

@inproceedings{donahue2015long,
  title={Long-term recurrent convolutional networks for visual recognition and description},
  author={Donahue, Jeffrey and Anne Hendricks, Lisa and Guadarrama, Sergio and Rohrbach, Marcus and Venugopalan, Subhashini and Saenko, Kate and Darrell, Trevor},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={2625--2634},
  year={2015}
}

@article{piccinini2012real,
  title={Real-time object detection and localization with SIFT-based clustering},
  author={Piccinini, Paolo and Prati, Andrea and Cucchiara, Rita},
  journal={Image and Vision Computing},
  volume={30},
  number={8},
  pages={573--587},
  year={2012},
  publisher={Elsevier}
}

@article{brown2007automatic,
  title={Automatic panoramic image stitching using invariant features},
  author={Brown, Matthew and Lowe, David G},
  journal={International journal of computer vision},
  volume={74},
  number={1},
  pages={59--73},
  year={2007},
  publisher={Springer}
}

@article{widrow199030,
  title={30 years of adaptive neural networks: perceptron, madaline, and backpropagation},
  author={Widrow, Bernard and Lehr, Michael A},
  journal={Proceedings of the IEEE},
  volume={78},
  number={9},
  pages={1415--1442},
  year={1990},
  publisher={IEEE}
}

@inproceedings{schonberger2016structure,
  title={Structure-from-motion revisited},
  author={Schonberger, Johannes L and Frahm, Jan-Michael},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={4104--4113},
  year={2016}
}

@inproceedings{gordo2016deep,
  title={Deep image retrieval: Learning global representations for image search},
  author={Gordo, Albert and Almaz{\'a}n, Jon and Revaud, Jerome and Larlus, Diane},
  booktitle={European Conference on Computer Vision},
  pages={241--257},
  year={2016},
  organization={Springer}
}

@article{weinberger2009distance,
  title={Distance metric learning for large margin nearest neighbor classification},
  author={Weinberger, Kilian Q and Saul, Lawrence K},
  journal={Journal of Machine Learning Research},
  volume={10},
  number={Feb},
  pages={207--244},
  year={2009}
}

@inproceedings{schroff2015facenet,
  title={Facenet: A unified embedding for face recognition and clustering},
  author={Schroff, Florian and Kalenichenko, Dmitry and Philbin, James},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={815--823},
  year={2015}
}

@inproceedings{bromley1994signature,
  title={Signature verification using a" siamese" time delay neural network},
  author={Bromley, Jane and Guyon, Isabelle and LeCun, Yann and S{\"a}ckinger, Eduard and Shah, Roopak},
  booktitle={Advances in neural information processing systems},
  pages={737--744},
  year={1994}
}

@inproceedings{hadsell2006dimensionality,
  title={Dimensionality reduction by learning an invariant mapping},
  author={Hadsell, Raia and Chopra, Sumit and LeCun, Yann},
  booktitle={null},
  pages={1735--1742},
  year={2006},
  organization={IEEE}
}

@inproceedings{donahue2014decaf,
  title={Decaf: A deep convolutional activation feature for generic visual recognition},
  author={Donahue, Jeff and Jia, Yangqing and Vinyals, Oriol and Hoffman, Judy and Zhang, Ning and Tzeng, Eric and Darrell, Trevor},
  booktitle={International conference on machine learning},
  pages={647--655},
  year={2014}
}

@inproceedings{mikolov2013distributed,
  title={Distributed representations of words and phrases and their compositionality},
  author={Mikolov, Tomas and Sutskever, Ilya and Chen, Kai and Corrado, Greg S and Dean, Jeff},
  booktitle={Advances in neural information processing systems},
  pages={3111--3119},
  year={2013}
}

@inproceedings{pennington2014glove,
  title={Glove: Global vectors for word representation},
  author={Pennington, Jeffrey and Socher, Richard and Manning, Christopher},
  booktitle={Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP)},
  pages={1532--1543},
  year={2014}
}

@inproceedings{feng2014cross,
  title={Cross-modal retrieval with correspondence autoencoder},
  author={Feng, Fangxiang and Wang, Xiaojie and Li, Ruifan},
  booktitle={Proceedings of the 22nd ACM international conference on Multimedia},
  pages={7--16},
  year={2014},
  organization={ACM}
}

@article{kiros2014unifying,
  title={Unifying visual-semantic embeddings with multimodal neural language models},
  author={Kiros, Ryan and Salakhutdinov, Ruslan and Zemel, Richard S},
  journal={arXiv preprint arXiv:1411.2539},
  year={2014}
}

@inproceedings{ngiam2011multimodal,
  title={Multimodal deep learning},
  author={Ngiam, Jiquan and Khosla, Aditya and Kim, Mingyu and Nam, Juhan and Lee, Honglak and Ng, Andrew Y},
  booktitle={Proceedings of the 28th international conference on machine learning (ICML-11)},
  pages={689--696},
  year={2011}
}

@inproceedings{frome2013devise,
  title={Devise: A deep visual-semantic embedding model},
  author={Frome, Andrea and Corrado, Greg S and Shlens, Jon and Bengio, Samy and Dean, Jeff and Mikolov, Tomas and others},
  booktitle={Advances in neural information processing systems},
  pages={2121--2129},
  year={2013}
}

@inproceedings{bai2014bag,
  title={Bag-of-words based deep neural network for image retrieval},
  author={Bai, Yalong and Yu, Wei and Xiao, Tianjun and Xu, Chang and Yang, Kuiyuan and Ma, Wei-Ying and Zhao, Tiejun},
  booktitle={Proceedings of the 22nd ACM international conference on Multimedia},
  pages={229--232},
  year={2014},
  organization={ACM}
}

@inproceedings{karpathy2015deep,
  title={Deep visual-semantic alignments for generating image descriptions},
  author={Karpathy, Andrej and Fei-Fei, Li},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={3128--3137},
  year={2015}
}

@inproceedings{fang2015captions,
  title={From captions to visual concepts and back},
  author={Fang, Hao and Gupta, Saurabh and Iandola, Forrest and Srivastava, Rupesh K and Deng, Li and Doll{\'a}r, Piotr and Gao, Jianfeng and He, Xiaodong and Mitchell, Margaret and Platt, John C and others},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1473--1482},
  year={2015}
}

@article{mao2014deep,
  title={Deep captioning with multimodal recurrent neural networks (m-rnn)},
  author={Mao, Junhua and Xu, Wei and Yang, Yi and Wang, Jiang and Huang, Zhiheng and Yuille, Alan},
  journal={arXiv preprint arXiv:1412.6632},
  year={2014}
}

@article{norouzi2013zero,
  title={Zero-shot learning by convex combination of semantic embeddings},
  author={Norouzi, Mohammad and Mikolov, Tomas and Bengio, Samy and Singer, Yoram and Shlens, Jonathon and Frome, Andrea and Corrado, Greg S and Dean, Jeffrey},
  journal={arXiv preprint arXiv:1312.5650},
  year={2013}
}

@article{dong2018predicting,
  title={Predicting visual features from text for image and video caption retrieval},
  author={Dong, Jianfeng and Li, Xirong and Snoek, Cees GM},
  journal={IEEE Transactions on Multimedia},
  year={2018},
  publisher={IEEE}
}

% ================================================
% ===================== PARKING ==================
% ================================================

@article{valera2005intelligent,
  title={Intelligent distributed surveillance systems: a review},
  author={Valera, Maria and Velastin, Sergio A},
  journal={IEE Proceedings-Vision, Image and Signal Processing},
  volume={152},
  number={2},
  pages={192--204},
  year={2005},
  publisher={IET}
}

@book{belbachir2010smart,
  title={Smart cameras},
  author={Belbachir, Ahmed Nabil},
  volume={2},
  year={2010},
  publisher={Springer}
}

@article{hong2015method,
	title={A method of real-time fault diagnosis for power transformers based on vibration analysis},
	author={Hong, Kaixing and Huang, Hai and Zhou, Jianping and Shen, Yimin and Li, Yujie},
	journal={Measurement Science and Technology},
	volume={26},
	number={11},
	pages={115011},
	year={2015},
	publisher={IOP Publishing}
}

% car parking
@article{tsai2007vehicle,
  title={Vehicle detection using normalized color and edge map},
  author={Tsai, Luo-Wei and Hsieh, Jun-Wei and Fan, Kuo-Chin},
  journal={Image Processing, IEEE Transactions on},
  volume={16},
  number={3},
  pages={850--864},
  year={2007},
  publisher={IEEE}
}

@misc{dan2002parking,
  title={Parking management system and method},
  author={Dan, Noah},
  year={2002},
  month=jan,
  publisher={Google Patents},
  note={US Patent App. 10/066,215}
}

@inproceedings{wu2007robust,
  title={Robust parking space detection considering inter-space correlation},
  author={Wu, Qi and Huang, Chingchun and Wang, Shih-yu and Chiu, Wei-chen and Chen, Tsuhan},
  booktitle={Multimedia and Expo, 2007 IEEE International Conference on},
  pages={659--662},
  year={2007},
  organization={IEEE}
}

@inproceedings{masmoudi2014,
  title={Parking Spaces Modelling for Inter Spaces Occlusion Handling},
  author={Masmoudi, Imen and Wali, Ali and Jamoussi, Anis and Alimi, Adel M},
  booktitle={22nd International Conference on Computer Graphics, Visualization and Computer Vision},
  pages={119--124},
  year={2014}
}

@article{del2015vacant,
  title={Vacant parking area estimation through background subtraction and transience map analysis},
  author={del Postigo, Carlos G{\'a}lvez and Torres, Juan and Men{\'e}ndez, Jos{\'e} Manuel},
  journal={IET Intelligent Transport Systems},
  volume = "9",
	number = "9",
    pages = "835 - 841",
  year={2015},
  publisher={IET}
}

@article{huang2013vacant,
  title={Vacant parking space detection based on plane-based bayesian hierarchical framework},
  author={Huang, Ching-Chun and Tai, Yu-Shu and Wang, Sheng-Jyh},
  journal={Circuits and Systems for Video Technology, IEEE Transactions on},
  volume={23},
  number={9},
  pages={1598--1610},
  year={2013},
  publisher={IEEE}
}

@inproceedings{delibaltov2013parking,
  title={Parking lot occupancy determination from lamp-post camera images},
  author={Delibaltov, Diana and Wu, Wencheng and Loce, Robert P and Bernal, Edgar and others},
  booktitle={Intelligent Transportation Systems-(ITSC), 2013 16th International IEEE Conference on},
  pages={2387--2392},
  year={2013},
  organization={IEEE}
}

@article{jermsurawong2014one,
  title={One-day long statistical analysis of parking demand by using single-camera vacancy detection},
  author={Jermsurawong, Jermsak and Ahsan, Umair and Haidar, Abdulhamid and Haiwei, Dong and Mavridis, Nikolaos},
  journal={Journal of Transportation Systems Engineering and Information Technology},
  volume={14},
  number={2},
  pages={33--44},
  year={2014},
  publisher={Elsevier}
}


% deep learning
@article{chen2014vehicle,
  title={Vehicle detection in satellite images by hybrid deep convolutional neural networks},
  author={Chen, Xueyun and Xiang, Shiming and Liu, Cheng-Lin and Pan, Chun-Hong},
  journal={Geoscience and Remote Sensing Letters, IEEE},
  volume={11},
  number={10},
  pages={1797--1801},
  year={2014},
  publisher={IEEE}
}

@inproceedings{ciresan2012multi,
  title={Multi-column deep neural networks for image classification},
  author={Ciresan, Dan and Meier, Ueli and Schmidhuber, J{\"u}rgen},
  booktitle={Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on},
  pages={3642--3649},
  year={2012},
  organization={IEEE}
}

@article{bengio2009learning,
  title={Learning deep architectures for {AI}},
  author={Bengio, Yoshua},
  journal={Foundations and trends{\textregistered} in Machine Learning},
  volume={2},
  number={1},
  pages={1--127},
  year={2009},
  publisher={Now Publishers Inc.}
}

@article{lecun1998gradient,
  title={Gradient-based learning applied to document recognition},
  author={LeCun, Yann and Bottou, L{\'e}on and Bengio, Yoshua and Haffner, Patrick},
  journal={Proceedings of the IEEE},
  volume={86},
  number={11},
  pages={2278--2324},
  year={1998},
  publisher={IEEE}
}

@InProceedings{jia2014caffe,
  Title = {Caffe: Convolutional architecture for fast feature embedding},
  Author = {Jia, Y. and Shelhamer, E. and Donahue, J. and Karayev, S. and Long, J. and Girshick, R. and Guadarrama, S. and Darrell, T.},
  Booktitle  = {Proceedings of the ACM International Conference on Multimedia},
  Year = {2014},
  Organization  = {ACM},
  Pages  = {675--678}
}

@article{ojala2002multiresolution,
  title={Multiresolution gray-scale and rotation invariant texture classification with local binary patterns},
  author={Ojala, Timo and Pietik{\"a}inen, Matti and M{\"a}enp{\"a}{\"a}, Topi},
  journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
  volume={24},
  number={7},
  pages={971--987},
  year={2002},
  publisher={IEEE}
}

@inproceedings{ojansivu2008blur,
  title={Blur insensitive texture classification using local phase quantization},
  author={Ojansivu, Ville and Heikkil{\"a}, Janne},
  booktitle={International Conference on Image and Signal Processing},
  pages={236--243},
  year={2008},
  organization={Springer}
}


@article{rahtu2012local,
  title={Local phase quantization for blur-insensitive image analysis},
  author={Rahtu, Esa and Heikkil{\"a}, Janne and Ojansivu, Ville and Ahonen, Timo},
  journal={Image and Vision Computing},
  volume={30},
  number={8},
  pages={501--512},
  year={2012},
  publisher={Elsevier}
}

@article{platt1999probabilistic,
  title={Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods},
  author={Platt, John and others},
  journal={Advances in large margin classifiers},
  volume={10},
  number={3},
  pages={61--74},
  year={1999},
  publisher={Cambridge, MA}
}

@incollection{yan2014age,
  title={Age Estimation Based on Convolutional Neural Network},
  author={Yan, Chenjing and Lang, Congyan and Wang, Tao and Du, Xuetao and Zhang, Chen},
  booktitle={Advances in Multimedia Information Processing--PCM 2014},
  pages={211--220},
  year={2014},
  publisher={Springer}
}

@article{hinton2007learning,
  title={Learning multiple layers of representation},
  author={Hinton, Geoffrey E},
  journal={Trends in cognitive sciences},
  volume={11},
  number={10},
  pages={428--434},
  year={2007},
  publisher={Elsevier}
}

@incollection{wang2015learning,
  title={Learning Paired-Associate Images with an Unsupervised Deep Learning Architecture},
  author={Wang, Ti and Silver, Daniel L},
  booktitle={Advances in Artificial Intelligence},
  pages={250--263},
  year={2015},
  publisher={Springer}
}

@inproceedings{girshick2014rich,
  title={Rich feature hierarchies for accurate object detection and semantic segmentation},
  author={Girshick, Ross and Donahue, Jeff and Darrell, Trevor and Malik, Jitendra},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={580--587},
  year={2014}
}

@techreport{cnr.isti2015-TR-0402015,
author = {Amato, Giuseppe and Carrara, Fabio and Falchi, Fabrizio and Gennaro, Claudio and Vairo, Claudio},
title = {Using convolutional neural networks for car parking occupancy monitoring},
year = {2015},
type = {Technical Report},
note = {Technical report, 2015.}
}

@article{caicedo2012prediction,
  title={Prediction of parking space availability in real time},
  author={Caicedo, Felix and Blazquez, Carola and Miranda, Pablo},
  journal={Expert Systems with Applications},
  volume={39},
  number={8},
  pages={7281--7290},
  year={2012},
  publisher={Elsevier}
}

@article{lan2014intelligent,
  title={An intelligent driver location system for smart parking},
  author={Lan, Kun-Chan and Shih, Wen-Yuah},
  journal={Expert Systems with Applications},
  volume={41},
  number={5},
  pages={2443--2456},
  year={2014},
  publisher={Elsevier}
}

% ================================================
% ===================== T4SA =====================
% ================================================

@inproceedings{mahajan2018exploring,
  author={Mahajan, Dhruv and Girshick, Ross and Ramanathan, Vignesh and He, Kaiming and Paluri, Manohar and Li, Yixuan and Bharambe, Ashwin and van der Maaten, Laurens},
  title={Exploring the Limits of Weakly Supervised Pretraining},
  booktitle={The European Conference on Computer Vision (ECCV)},
  month={September},
  year={2018},
  pages={181-196}
}

@inproceedings{sun2017revisiting,
  title={Revisiting unreasonable effectiveness of data in deep learning era},
  author={Sun, Chen and Shrivastava, Abhinav and Singh, Saurabh and Gupta, Abhinav},
  booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on},
  pages={843--852},
  year={2017},
  organization={IEEE}
}

@article{pang2008opinion,
  title={Opinion mining and sentiment analysis},
  author={Pang, Bo and Lee, Lillian and others},
  journal={Foundations and Trends{\textregistered} in Information Retrieval},
  volume={2},
  number={1--2},
  pages={1--135},
  year={2008},
  publisher={Now Publishers, Inc.}
}

@inproceedings{mishne2006predicting,
  title={Predicting movie sales from blogger sentiment.},
  author={Mishne, Gilad and Glance, Natalie S and others},
  booktitle={AAAI spring symposium: computational approaches to analyzing weblogs},
  pages={155--158},
  year={2006}
}

@inproceedings{asur2010predicting,
  title={Predicting the future with social media},
  author={Asur, Sitaram and Huberman, Bernardo A},
  booktitle={Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology-Volume 01},
  pages={492--499},
  year={2010},
  organization={IEEE Computer Society}
}

@inproceedings{abbasi2007affect,
  title={Affect intensity analysis of dark web forums},
  author={Abbasi, Ahmed and Chen, Hsinchun},
  booktitle={2007 IEEE Intelligence and Security Informatics},
  pages={282--288},
  year={2007},
  organization={IEEE}
}

@article{laver2003extracting,
  title={Extracting policy positions from political texts using words as data},
  author={Laver, Michael and Benoit, Kenneth and Garry, John},
  journal={American Political Science Review},
  volume={97},
  number={2},
  pages={311--331},
  year={2003},
  publisher={Cambridge University Press}
}

@article{o2010tweets,
  title={From tweets to polls: Linking text sentiment to public opinion time series.},
  author={O'Connor, Brendan and Balasubramanyan, Ramnath and Routledge, Bryan R and Smith, Noah A and others},
  journal={Icwsm},
  volume={11},
  number={122-129},
  pages={1--2},
  year={2010}
}

@inproceedings{cresci2015linguistically,
  title={A linguistically-driven approach to cross-event damage assessment of natural disasters from social media messages},
  author={Cresci, Stefano and Tesconi, Maurizio and Cimino, Andrea and Dell'Orletta, Felice},
  booktitle={WWW Companion 2015},
  organization={ACM}
}

@article{avvenuti2016impromptu,
  title={Impromptu Crisis Mapping to Prioritize Emergency Response},
  author={Avvenuti, Marco and Cresci, Stefano and Del Vigna, Fabio and Tesconi, Maurizio},
  journal={Computer},
  volume={49},
  number={5},
  pages={28--37},
  year={2016},
  publisher={IEEE}
}

@inproceedings{li2011semi,
  title={Semi-supervised learning for imbalanced sentiment classification},
  author={Li, Shoushan and Wang, Zhongqing and Zhou, Guodong and Lee, Sophia Yat Mei},
  booktitle={IJCAI 2011}
}

@inproceedings{deriu2016swisscheese,
  title={Swisscheese at semeval-2016 task 4: Sentiment classification using an ensemble of convolutional neural networks with distant supervision},
  author={Deriu, Jan and Gonzenbach, Maurice and Uzdilli, Fatih and Lucchi, Aurelien and Luca, Valeria De and Jaggi, Martin},
  booktitle={Proceedings of the 10th international workshop on semantic evaluation},
  number={EPFL-CONF-229234},
  pages={1124--1128},
  year={2016}
}

@inproceedings{nakov2016semeval,
  title={SemEval-2016 task 4: Sentiment analysis in Twitter},
  author={Nakov, Preslav and Ritter, Alan and Rosenthal, Sara and Sebastiani, Fabrizio and Stoyanov, Veselin},
  booktitle={Proceedings of the 10th international workshop on semantic evaluation (semeval-2016)},
  pages={1--18},
  year={2016}
}

@inproceedings{rouvier2016sensei,
  title={SENSEI-LIF at SemEval-2016 Task 4: Polarity embedding fusion for robust sentiment analysis},
  author={Rouvier, Mickael and Favre, Benoit},
  booktitle={Proceedings of the 10th international workshop on semantic evaluation (SemEval-2016)},
  pages={202--208},
  year={2016}
}

@article{go2009twitter,
  title={Twitter sentiment classification using distant supervision},
  author={Go, Alec and Bhayani, Richa and Huang, Lei},
  journal={CS224N Project Report, Stanford},
  volume={1},
  number={12},
  year={2009}
}

@inproceedings{bermingham2010classifying,
  title={Classifying sentiment in microblogs: is brevity an advantage?},
  author={Bermingham, Adam and Smeaton, Alan F},
  booktitle={CIKM 2010},
  organization={ACM}
}

@inproceedings{cimino2016tandem,
  title={Tandem LSTM-SVM Approach for Sentiment Analysis.},
  author={Cimino, Andrea and Dell'Orletta, Felice},
  booktitle={CLiC-it/EVALITA},
  year={2016}
}

@inproceedings{barbieri2016overview,
  title={Overview of the EVALITA 2016 SENTiment POLarity Classification Task},
  author={Barbieri, Francesco and Basile, Valerio and Croce, Danilo and Nissim, Malvina and Novielli, Nicole and Patti, Viviana},
  booktitle={EVALITA 2016}
}

@inproceedings{tang2015document,
  title={Document modeling with gated recurrent neural network for sentiment classification},
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% ================================================
% ================= ADVERSARIAL ==================
% ================================================

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% ====================================
% ============== Text 2 Vis ==========
% ====================================

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% =========================
% ========== SRT ==========
% =========================

@inproceedings{shang2016understanding,
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@inproceedings{amato2016deep,
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@inproceedings{amato2016large,
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@PhdThesis{vadicamo2018enhancing,
  Title                    = {Enhancing Content-Based Image Retrieval Using Aggregation of Binary Features, Deep Learning, and Supermetric Search},
  Author                   = {Vadicamo, Lucia},
  School                   = {University of Pisa,PhD in Ingegneria dell'Informazione},
  Year                     = {2018},
  Month                    = {5},
  Doi                      = {10.13140/RG.2.2.24409.62568/1},
  Owner                    = {Lucia},
  Supervisor               = {Amato, Giuseppe and Falchi, Fabrizio and Marcelloni, Francesco},
  Timestamp                = {2018.08.24},
  Url                      = {https://etd.adm.unipi.it/theses/available/etd-04242018-161334/}
}

@inproceedings{amato2014some,
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  organization={Springer}
}

% ================================
% ========== CONCLUSION ==========
% ================================

@article{iandola2016squeezenet,
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  journal={arXiv preprint arXiv:1602.07360},
  year={2016}
}

@inproceedings{rastegari2016xnor,
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  pages={525--542},
  year={2016},
  organization={Springer}
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@article{howard2017mobilenets,
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  journal={arXiv preprint arXiv:1704.04861},
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@inproceedings{veit2018convolutional,
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  pages={3--18},
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  organization={Springer}
}